DXOMARK https://www.dxomark.com/ The leading source of independent audio, display, battery and image quality measurements and ratings for smartphone, camera, lens, wireless speaker and laptop since 2008. Fri, 14 Jun 2024 14:16:38 +0000 en-US hourly 1 https://wordpress.org/?v=6.4.3 https://www.dxomark.com/wp-content/uploads/2019/09/logo-o-transparent-150x150.png DXOMARK https://www.dxomark.com/ 32 32 Samsung Galaxy A15 LTE Battery test https://www.dxomark.com/samsung-galaxy-a15-lte-battery-test/ https://www.dxomark.com/samsung-galaxy-a15-lte-battery-test/#respond Fri, 14 Jun 2024 14:15:10 +0000 https://www.dxomark.com/?p=173635 We put the Samsung Galaxy A15 LTE through our rigorous DXOMARK Battery test suite to measure its performance in autonomy, charging and efficiency. In these test results, we will break down how it fared in a variety of tests and several common use cases. Overview Key specifications: Battery capacity: 5000 mAh 25W charger (not included) [...]

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We put the Samsung Galaxy A15 LTE through our rigorous DXOMARK Battery test suite to measure its performance in autonomy, charging and efficiency. In these test results, we will break down how it fared in a variety of tests and several common use cases.

Overview

Key specifications:

  • Battery capacity: 5000 mAh
  • 25W charger (not included)
  • 6.5-inch, 1080 x 2340, 90 Hz, OLED display
  • MediaTek Helio G99 (6 nm)
  • Tested ROM / RAM combination: 128 GB + 4 GB

Scoring

Sub-scores and attributes included in the calculations of the global score.

Samsung Galaxy A15 LTE
Samsung Galaxy A15 LTE
137
battery
158
Autonomy
177

221

165

195

130

198

111
Charging
102

224

121

212

123

205

141

194

Key performances

Charging Time
3 days 6h
Battery life
Charging Time
0h54
80% Charging time
Charging Time
1h44
Full charging time
Quick Boost
3h55 autonomy
after 5-minute charge

Pros

  • Impressive autonomy performance in both indoor and outdoor use cases
  • High adapter efficiency
  • Very low discharging current when calling, video streaming, and when in idle

Cons

  • Takes more than 1 hour and a half to fully charge the battery
  • Very little autonomy regained from a 5-minute charging boost
  • Below-average charge-up efficiency

The Samsung Galaxy A15 LTE demonstrated a much-improved battery performance in all the use cases over the previous Samsung Galaxy A14 5G.

Equipped with the same-sized 5000 mAh battery as in the previous generation, the Samsung Galaxy A15 LTE lasted for more than 3 days and 6 hours when used moderately, compared with the A14 5G’s 2 and half days.

The A15 LTE’s outdoor performances were also quite impressive, and ranked among the best devices that we have tested. In the standardized use-case tests, the autonomy showing was very impressive for calling and watching a video in 4G conditions, although the autonomy when listening to music was not as long lasting when compared with its competitors.

The Samsung Galaxy A15 LTE supports up to 25W charging, which requires more than 1 hour and 40 minutes to fully charge the device. Moreover, the device struggled to regain much autonomy in a 5-minute boost charging, yielding less than 4 hours, which ranked in  the lower half of our database.

The  Samsung Galaxy A15 LTE has a very good adapter efficiency, which is higher than 93.5%. However, the global charge-up efficiency was at 76%, which is below average. On the other hand, the device’s discharging currents were generally below or around average levels, except when listening to music, meaning that the device is well optimized.

Compared to other devices in the Essential segment (<$199),  the Samsung Galaxy A15 LTE ranked among the best devices, thanks to its excellent autonomy and great efficiency performances.

Test Summary

About DXOMARK Battery tests: For scoring and analysis in our smartphone battery reviews, DXOMARK engineers perform a variety of objective tests over a week-long period both indoors and outdoors. (See our introductory and how we test articles for more details about our smartphone Battery protocol.)

The following section gathers key elements of our exhaustive tests and analyses performed in DXOMARK laboratories. Detailed performance evaluations under the form of reports are available upon request. Do not hesitate to contact us.

Battery Charger Wireless Display Processor
Samsung Galaxy A15 LTE 5000mAh 25W
(not included)
- AMOLED
1080 x 2340
MediaTek Helio G99
Honor X7b 6000mAh 35W
(included)
- LCD
1080 x 2412
Qualcomm Snapdragon 680
Samsung Galaxy A14 5G 5000mAh 15W
(not included)
- LCD
1080 x 2408
MediaTek Dimensity 700

Autonomy

158

Samsung Galaxy A15 LTE

195

Honor X7b
How Autonomy score is composed

Autonomy score is composed of three performance sub-scores: Home / Office, On the go, and Calibrated use cases. Each sub-score comprises the results of a comprehensive range of tests for measuring autonomy in all kinds of real-life scenarios.

Light Usage
113h
Light Usage
Active: 2h30/day
Moderate Usage
78h
Moderate Usage
Active: 4h/day
Intense Usage
48h
Intense Usage
Active: 7h/day

Home/Office

177

Samsung Galaxy A15 LTE

221

Honor X7b

A robot housed in a Faraday cage performs a set of touch-based user actions during what we call our “typical usage scenario” (TUS) — making calls, video streaming, etc. — 4 hours of active use over the course of a 16-hour period, plus 8 hours of “sleep.” The robot repeats this set of actions every day until the device runs out of power.

Typical Usage Scenario discharge curves

On the go

165

Samsung Galaxy A15 LTE

195

Samsung Galaxy M51

Using a smartphone on the go takes a toll on autonomy because of extra “hidden” demands, such as the continuous signaling associated with cellphone network selection, for example. DXOMARK Battery experts take the phone outdoors and perform a precisely defined set of activities while following the same three-hour travel itinerary (walking, taking the bus, the subway…) for each device

Autonomy for on the go use cases (full charge)

Calibrated

130

Samsung Galaxy A15 LTE

198

Samsung Galaxy M51

For this series of tests, the smartphone returns to the Faraday cage and our robots repeatedly perform actions linked to one specific use case (such as gaming, video streaming, etc.) at a time. Starting from an 80% charge, all devices are tested until they have expended at least 5% of their battery power.

Autonomy for calibrated use cases (full charge)

Charging

111

Samsung Galaxy A15 LTE

218

Realme GT Neo 5 (240W)
How Charging score is composed

Charging is fully part of the overall battery experience. In some situations where autonomy is at a minimum, knowing how fast you can charge becomes a concern. The DXOMARK Battery charging score is composed of two sub-scores, (1) Full charge and (2) Quick boost.

Wired
Wired
48%
in 30 min
0h54
0 - 80%
1h44
Full charge

Full charge

102

Samsung Galaxy A15 LTE

224

Realme GT Neo 5 (240W)

Full charge tests assess the reliability of the battery power gauge; measure how long and how much power the battery takes to charge from zero to 80% capacity, from 80 to 100% as shown by the UI, and until an actual full charge.

Power consumption and battery level during full charge
The charging curves, in wired and wireless (if available) showing the evolution of the battery level indicator as well as the power consumption in watts during the stages of charging toward full capacity.
Time to full charge
The time to full charge chart breaks down the necessary time to reach 80%, 100% and full charge.

Quick boost

121

Samsung Galaxy A15 LTE

212

Realme GT Neo 5 (240W)

With the phone at different charge levels (20%, 40%, 60%, 80%), Quick boost tests measure the amount of charge the battery receives after being plugged in for 5 minutes. The chart here compares the average autonomy gain from a quick 5-minute charge.

Average autonomy gain for a 5 minute charge (wired)

Efficiency

135

Samsung Galaxy A15 LTE

154

Oppo Reno6 5G
How Efficiency score is composed

The DXOMARK power efficiency score consists of two sub-scores, Charge up and Discharge rate, both of which combine data obtained during robot-based typical usage scenario, calibrated tests and charging evaluation, taking into consideration the device’s battery capacity. DXOMARK calculate the annual power consumption of the product, shown on below graph, which is representative of the overall efficiency during a charge and when in use.

Annual Consumption Samsung Galaxy A15 LTE
3 kWh
Efficient
Good
Bad
Inefficient

Charge up

123

Samsung Galaxy A15 LTE

205

Nubia RedMagic 7 Pro

The charge up sub-score is a combination of four factors: the overall efficiency of a full charge, related to how much energy you need to fill up the battery compared to the energy that the battery can provide; the efficiency of the travel adapter when it comes to transferring power from an outlet to your phone; the residual consumption when your phone is fully charged and still plugged into the charger; and the residual consumption of the charger itself, when the smartphone is disconnected from it. The chart here below shows the overall efficiency of a full charge in %.

Overall charge efficiency

Discharge

141

Samsung Galaxy A15 LTE

194

Apple iPhone 14 Pro

The discharge subscore rates the speed of a battery’s discharge during a test, which is independent of the battery’s capacity. It is the ratio of a battery’s capacity divided by its autonomy. A small-capacity battery could have the same autonomy as a large-capacity battery, indicating that the device is well-optimized, with a low discharge rate.

Average discharge current

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https://www.dxomark.com/samsung-galaxy-a15-lte-battery-test/feed/ 0 Samsung Galaxy A15 LTE Charging Time Charging Time Charging Time Quick Boost Light Usage Moderate Usage Intense Usage Wired
Crosscall Stellar-X5 Camera test https://www.dxomark.com/crosscall-stellar-x5-camera-test/ https://www.dxomark.com/crosscall-stellar-x5-camera-test/#respond Tue, 11 Jun 2024 11:17:21 +0000 https://www.dxomark.com/?p=168006&preview=true&preview_id=168006 We put the Crosscall Stellar-X5 through our rigorous DXOMARK Camera test suite to measure its performance in photo, video, and zoom quality from an end-user perspective. This article breaks down how the device fared in a variety of tests and several common use cases and is intended to highlight the most important results of our [...]

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We put the Crosscall Stellar-X5 through our rigorous DXOMARK Camera test suite to measure its performance in photo, video, and zoom quality from an end-user perspective. This article breaks down how the device fared in a variety of tests and several common use cases and is intended to highlight the most important results of our testing with an extract of the captured data.

Overview

Key camera specifications:

  • Primary: 50 MP, 80° (equivalent 26mm measured)
  • Ultra-wide:13 MP, 120° (equivalent 15mm measured)

Scoring

Sub-scores and attributes included in the calculations of the global score.


Crosscall Stellar-X5
113
camera
115
Photo
102

130

92

128

105

125

90

124

96

117

71

82

25
Bokeh
25

85

54
Preview
54

91

81
Zoom
49

120

88

122

124
Video
101

116

106

119

91

120

105

118

105

119

72

86

101

118

Use cases & Conditions

Use case scores indicate the product performance in specific situations. They are not included in the overall score calculations.

BEST 180

Outdoor

Photos & videos shot in bright light conditions (≥1000 lux)

BEST 169

Indoor

Photos & videos shot in good lighting conditions (≥100lux)

BEST 138

Lowlight

Photos & videos shot in low lighting conditions (<100 lux)

BEST 154

Friends & Family

Portrait and group photo & videos

Pros

  • Target exposure is generally accurate; extended dynamic range
  • Generally accurate white balance  and pleasant color rendering for outdoor and indoor images
  • Generally high texture levels in outdoor images
  • Stable and accurate photo autofocus in outdoor and indoor conditions

Cons

  • Occasional low image contrast in challenging backlit conditions
  • In photo, visible ghosting, hue shifts, and color quantization
  • In video, generally unstable autofocus
  • Image noise in low light
  • Low detail preservation when zooming in

The Crosscall Stellar-X5 is the French brand’s entry into the Ultra-premium realm, with a sleeker look and feel as well as better camera specifications than prior models in an aim to bridge the gap between the rugged work phone and the personal phone. The higher-resolution sensor and a better chipset than the previously tested Action-X5 indeed resulted in significant improvements in all aspects of our image quality evaluation. The Stellar-X5’s camera score also improved considerably thanks to images that were consistently well exposed and that showed an extended dynamic range.

In addition, the camera has an efficient zero shutter lag capability in most tested conditions, meaning the user is likely to capture the intended moment, particularly fast-action scenarios like sports.

Crosscall has made great strides in image quality with the Stellar-X5 compared with the company’s previous offerings, but when compared with other devices in the same segment, the Stellar-X5 still has some way to go. For example, the HDR algorithm had quite a lot of artifacts such as contrast issues and ghosting. The device also performed some unwanted refocusing and had some instabilities, especially in video recording. However, video stabilization was quite good.

Even though Crosscall devices are targeted for outdoor photographers who usually take wide-angle images such as landscapes, we would have liked to have seen the Stellar-X5 come equipped with at least one dedicated tele module. But even without the tele camera, the Stellar-X5 produced good zoomed-in images that contained a fairly high level of details simply by cropping a photo taken with the main 50 MP wide module.

Crosscall Stellar-X5 – in this indoor example: fairly high level of texture on face, fairly extended dynamic range, slight hue shift visible (reflection on the wall) and visible ringing

 

Test summary

About DXOMARK Camera tests: DXOMARK’s Camera evaluations take place in laboratories and in real-world situations using a wide variety of subjects. The scores rely on objective tests for which the results are calculated directly by measurement software on our laboratory setups, and on perceptual tests in which a sophisticated set of metrics allow a panel of image experts to compare aspects of image quality that require human judgment. Testing a smartphone involves a team of engineers and technicians for about a week. Photo, Zoom, and Video quality are scored separately and then combined into an Overall score for comparison among the cameras in different devices. For more information about the DXOMARK Camera protocol, click here. More details on smartphone camera scores are available here. The following section gathers key elements of DXOMARK’s exhaustive tests and analyses. Full performance evaluations are available upon request. Please contact us  on how to receive a full report.

Crosscall Stellar-X5 Camera Scores
This graph compares DXOMARK photo, zoom and video scores between the tested device and references. Average and maximum scores of the price segment are also indicated. Average and maximum scores for each price segment are computed based on the DXOMARK database of devices tested.

Photo

115

Crosscall Stellar-X5

169

Huawei Pura 70 Ultra
About DXOMARK Camera Photo tests

For scoring and analysis, DXOMARK engineers capture and evaluate more than 2,600 test images both in controlled lab environments and in outdoor, indoor and low-light natural scenes, using the camera’s default settings. The photo protocol is designed to take into account the main use cases and is based on typical shooting scenarios, such as portraits, family, and landscape photography. The evaluation is performed by visually inspecting images against a reference of natural scenes, and by running objective measurements on images of charts captured in the lab under different lighting conditions from 1 to 1,000+ lux and color temperatures from 2,300K to 6,500K.

Crosscall Stellar-X5 Photo scores
The photo tests analyze image quality attributes such as exposure, color, texture, and noise in various light conditions. Autofocus performances and the presence of artifacts on all images captured in controlled lab conditions and in real-life images are also evaluated. All these attributes have a significant impact on the final quality of the images captured with the tested device and can help to understand the camera's main strengths and weaknesses.

Exposure

102

Crosscall Stellar-X5

130

Huawei Pura 70 Ultra

Exposure is one of the key attributes for technically good pictures. The main attribute evaluated is the brightness of the main subject through various use cases such as landscape, portrait, or still life. Other factors evaluated are the contrast and the dynamic range, eg. the ability to render visible details in both bright and dark areas of the image. Repeatability is also important because it demonstrates the camera's ability to provide the same rendering when shooting several images of the same scene.

Crosscall Stellar-X5 –  Accurate target exposure and extended dynamic range.
Honor 70 –  Accurate target exposure and extended dynamic range.

Color

92

Crosscall Stellar-X5

128

Huawei Pura 70 Ultra

Color is one of the key attributes for technically good pictures. The image quality attributes analyzed are skin-tone rendering, white balance, color shading, and repeatability. For color and skin tone rendering, we penalize unnatural colors but we respect a manufacturer's choice of color signature.

Crosscall Stellar-X5 – Bright and Vivid colors, high level of details
Honor 70 – Bright and Vivid colors, lower level of texture

Autofocus

105

Crosscall Stellar-X5

125

Huawei Pura 70 Ultra

Autofocus tests concentrate on focus accuracy, focus repeatability, shooting time delay, and depth of field. Shooting delay is the difference between the time the user presses the capture button and the time the image is actually taken. It includes focusing speed and the capability of the device to capture images at the right time, what is called 'zero shutter lag' capability. Even if a shallow depth of field can be pleasant for a single subject portrait or close-up shot, it can also be a problem in some specific conditions such as group portraits; Both situations are tested. Focus accuracy is also evaluated in all the real-life images taken, from infinity to close-up objects and in low light to outdoor conditions.

Autofocus irregularity and speed: 100Lux Δ2EV TL84 Handheld
This graph illustrates focus accuracy and speed and also zero shutter lag capability by showing the edge acutance versus the shooting time measured on the AFHDR setup on a series of pictures. All pictures were taken at 100Lux with TL84 illuminant, 500ms after the defocus. On this scenario, the backlit panels in the scene are set up to simulate a fairly high dynamic range: the luminance ratio between the brightest point and a 18% reflective gray patch is 2, which we denote by a Exposure Value difference of 2. The edge acutance is measured on the four edges of the Dead Leaves chart, and the shooting time is measured on the LED Universal Timer.

Texture

90

Crosscall Stellar-X5

124

Apple iPhone 15 Pro

Texture tests analyze the level of details and the texture of subjects in the images taken in the lab as well as in real-life scenarios. For natural shots, particular attention is paid to the level of details in the bright and dark areas of the image. Objective measurements are performed on chart images taken in various lighting conditions from 1 to 1000 lux and different kinds of dynamic range conditions. The charts used are the proprietary DXOMARK chart (DMC) and the Dead Leaves chart.

DXOMARK CHART (DMC) detail preservation score vs lux levels for tripod and handheld conditions
This graph shows the evolution of the DMC detail preservation score with the level of lux, for two holding conditions. DMC detail preservation score is derived from an AI-based metric trained to evaluate texture and details rendering on a selection of crops of our DXOMARK chart.
Crosscall Stellar-X5 – crop of the DMC at 100lux
Crosscall Action X5 – crop of the DMC at 100lux
Honor 70 – crop of the DMC at 100lux

Noise

96

Crosscall Stellar-X5

117

Huawei Pura 70 Ultra

Noise tests analyze various attributes of noise such as intensity, chromaticity, grain, structure on real-life images as well as images of charts taken in the lab. For natural images, particular attention is paid to the noise on faces, landscapes, but also on dark areas and high dynamic range conditions. Noise on moving objects is also evaluated on natural images. Objective measurements are performed on images of charts taken in various conditions from 1 to 1000 lux and different kinds of dynamic range conditions. The chart used is the Dead Leaves chart and the standardized measurement such as Visual Noise derived from ISO 15739.

Visual noise evolution with illuminance levels in handheld condition
This graph shows the evolution of visual noise metric with the level of lux in handheld condition. The visual noise metric is the mean of visual noise measurement on all patches of the Dead Leaves chart in the AFHDR setup. DXOMARK visual noise measurement is derived from ISO15739 standard.

Artifacts

71

Crosscall Stellar-X5

82

Xiaomi Redmi 12 5G

The artifacts evaluation looks at lens shading, chromatic aberrations, geometrical distortion, edges ringing, halos, ghosting, quantization, unexpected color hue shifts, among others types of possible unnatural effects on photos. The more severe and the more frequent the artifact, the higher the point deduction on the score. The main artifacts observed and corresponding point loss are listed below.

Main photo artifacts penalties

Zoom

81

Crosscall Stellar-X5

164

Huawei Pura 70 Ultra
About DXOMARK Camera Zoom tests

DXOMARK engineers capture and evaluate over 400 test images in controlled lab environments and in outdoor, indoor, and low-light natural scenes, using the camera’s default settings and pinch zoom at various zoom factors from ultra wide to very long-range zoom. The evaluation is performed by visually inspecting the images against a reference of natural scenes, and by running objective measurements of chart mages captured in the lab under different conditions from 20 to 1000 lux and color temperatures from 2300K to 6500K.

Crosscall Stellar-X5 Zoom Scores
This graph illustrates the relative scores for the different zoom ranges evaluated. The abscissa is expressed in 35mm equivalent focal length. Zooming-in scores are displayed on the right and Zooming-out scores on the left.

 

Crosscall Stellar-X5
Crosscall Stellar-X5 - fine details are lost
Honor 70
Honor 70 - fine details are lost
Samsung Galaxy Z Flip5
Samsung Galaxy Z Flip5 - fine details are lost

Video

124

Crosscall Stellar-X5

158

Apple iPhone 15 Pro
About DXOMARK Camera Video tests

DXOMARK engineers capture and evaluate more than 2.5 hours of video in controlled lab environments and in natural low-light, indoor and outdoor scenes, using the camera’s default settings. The evaluation consists of visually inspecting natural videos taken in various conditions and running objective measurements on videos of charts recorded in the lab under different conditions from 1 to 1000+ lux and color temperatures from 2,300K to 6,500K.

Crosscall Stellar-X5 Video scores
Video tests analyze the same image quality attributes as for still images, such as exposure, color, texture, or noise, in addition to temporal aspects such as speed, and smoothness and stability of exposure, white balance, and autofocus transitions.

Exposure

101

Crosscall Stellar-X5

116

Apple iPhone 15 Pro

Color

106

Crosscall Stellar-X5

119

Honor Magic6 Pro

Exposure tests evaluate the brightness of the main subject and the dynamic range, eg. the ability to render visible details in both bright and dark areas of the image. Stability and temporal adaption of the exposure are also analyzed.
Image-quality color analysis looks at color rendering, skin-tone rendering, white balance, color shading, stability of the white balance and its adaption when light is changing.

Crosscall Stellar-X5 – accurate target exposure but some exposure blinking (on trees in the background), some autofocus pumping, limited dynamic range with hue shift (on forehead).

Texture

105

Crosscall Stellar-X5

118

Oppo Find X6 Pro

Texture tests analyze the level of details and texture of the real-life videos as well as the videos of charts recorded in the lab. Natural videos recordings are visually evaluated, with particular attention paid to the level of details in the bright and areas as well as in the dark. Objective measurements are performed of images of charts taken in various conditions from 1 to 1000 lux. The charts used are the DXOMARK chart (DMC) and Dead Leaves chart.

DXOMARK CHART (DMC) detail preservation video score vs lux levels
This graph shows the evolution of the DMC detail preservation video score with the level of lux in video. DMC detail preservation score is derived from an AI-based metric trained to evaluate texture and details rendering on a selection of crops of our DXOMARK chart.

Noise

105

Crosscall Stellar-X5

119

Oppo Find X7 Ultra

Noise tests analyze various attributes of noise such as intensity, chromaticity, grain, structure, temporal aspects on real-life video recording as well as videos of charts taken in the lab. Natural videos are visually evaluated, with particular attention paid to the noise in the dark areas and high dynamic range conditions. Objective measurements are performed on the videos of charts recorded in various conditions from 1 to 1000 lux. The chart used is the DXOMARK visual noise chart.

Spatial visual noise evolution with the illuminance level
This graph shows the evolution of spatial visual noise with the level of lux. Spatial visual noise is measured on the visual noise chart in the video noise setup. DXOMARK visual noise measurement is derived from ISO15739 standard.
Temporal visual noise evolution with the illuminance level
This graph shows the evolution of temporal visual noise with the level of lux. Temporal visual noise is measured on the visual noise chart in the video noise setup.

Stabilization

101

Crosscall Stellar-X5

118

Apple iPhone 15 Pro

Stabilization evaluation tests the ability of the device to stabilize footage thanks to software or hardware technologies such as OIS, EIS, or any others means. The evaluation looks at residual motion, smoothness, jello artifacts and residual motion blur on walk-and-run use cases in various lighting conditions. The video below is an extract from one of the tested scenes.

Crosscall Stellar-X5 – fairly efficient motion compensation in walk and run motion.

Artifacts

72

Crosscall Stellar-X5

86

Xiaomi 12S Ultra

Artifacts are evaluated with MTF and ringing measurements on the SFR chart in the lab as well as frame-rate measurements using the LED Universal Timer. Natural videos are visually evaluated by paying particular attention to artifacts such as aliasing, quantization, blocking, and hue shift, among others. The more severe and the more frequent the artifact, the higher the point deduction from the score. The main artifacts and corresponding point loss are listed below.

Main video artifacts penalties

The post Crosscall Stellar-X5 Camera test appeared first on DXOMARK.

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https://www.dxomark.com/crosscall-stellar-x5-camera-test/feed/ 0 CAMERA CAMERA Lightbulb_CrossCallStellarX5_DxOMark ChampsDeMarsStation_CrossCallStellarX5_DxOMark_P03_05-00 ChampsDeMarsStation_Honor70_DxOMark_05-00 FlowerLandscape_CrosscallStellarX5 FlowerLandscape_Honor70 Rulers_100Lux_SME_TL84_Tripod Rulers_100Lux_SME_TL84_Tripod Rulers_100Lux_SME_TL84_Tripod
Oppo Find X7 Ultra Battery test https://www.dxomark.com/oppo-find-x7-ultra-battery-test/ https://www.dxomark.com/oppo-find-x7-ultra-battery-test/#respond Tue, 11 Jun 2024 08:09:12 +0000 https://www.dxomark.com/?p=173572 We put the Oppo Find X7 Ultra through our rigorous DXOMARK Battery test suite to measure its performance in autonomy, charging and efficiency. In these test results, we will break down how it fared in a variety of tests and several common use cases. Overview Key specifications: Battery capacity: 5000 mAh 100W charger (not included) [...]

The post Oppo Find X7 Ultra Battery test appeared first on DXOMARK.

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We put the Oppo Find X7 Ultra through our rigorous DXOMARK Battery test suite to measure its performance in autonomy, charging and efficiency. In these test results, we will break down how it fared in a variety of tests and several common use cases.

Overview

Key specifications:

  • Battery capacity: 5000 mAh
  • 100W charger (not included)
  • 6.82-inch, 1440 x 3168, 120 Hz, OLED display
  • Qualcomm Snapdragon 8 Gen3 (4 nm)
  • Tested ROM / RAM combination: 256 GB + 16 GB

Scoring

Sub-scores and attributes included in the calculations of the global score.

Oppo Find X7 Ultra
Oppo Find X7 Ultra
160
battery
156
Autonomy
171

221

122

195

148

198

170
Charging
163

224

178

212

146

205

156

194

Key performances

Charging Time
2 days 19h
Battery life
Charging Time
0h20
80% Charging time
Charging Time
0h32
Full charging time
Quick Boost
10h17 autonomy
after 5-minute charge

Pros

  • Excellent indoor autonomy
  • High gain in autonomy from 5-minute boost charging
  • Fast charging time to full capacity
  • Great autonomy when watching videos, indoor calling, and playing video games

Cons

  • Below average autonomy showing when outdoor calling, taking photos and browsing social apps outdoors
  • Very high residual power drain from the wireless stand
  • Below-average charge-related efficiency

The Oppo Find X7 Ultra delivered an outstanding overall battery experience, with an impressively well-balanced performance in all subscores — autonomy, charging, and efficiency. The 8-point improvement over its predecessor, the Oppo Find X6 Pro, pushed the latest flagship to the top spot in the battery ranking, a rare achievement for an ultra-premium smartphone.

Featuring a robust 5000 mAh battery, the Oppo Find X7 Ultra achieved 67 hours and 12 minutes of autonomy under moderate use. The device also excelled in various test scenarios, including idle screen-on, video streaming, gaming, and calling.  Even though music streaming was not as impressive as the other individual use cases, the autonomy was still above average.

The Oppo Find X7 Ultra reached a full charge in under 50 minutes thanks to its peak wired charging power of 100W, the same as its predecessor. However, its wireless charging, which was at a maximum power of 50W, took over 2 hours and 20 minutes to reach a full charge. Nevertheless, the device was able to regain more than 10 hours of autonomy from a quick 5-minute charging boost, placing it in the top half of our database.

The Oppo Find X7 Ultra’s charging efficiency was 78.2%, which is notably high given the 100W charger, as high-power chargers typically have lower efficiency due to higher energy consumption during charging. The device exhibited significant residual power drain in both wired and wireless modes, whether plugged in or not. This was particularly notable with wireless charging, where the  residual power drain reached nearly 6W while on the stand. Nonetheless, the device’s discharging currents were consistently low, indicating good overall optimization.

Balancing new power-demanding features while providing a satisfying user experience is often a challenge for ultra-premium smartphones. The Oppo Find X7 Ultra stands out in this segment, offering exceptional battery life and meticulous fine-tuning, making it the best in its class.

Test Summary

About DXOMARK Battery tests: For scoring and analysis in our smartphone battery reviews, DXOMARK engineers perform a variety of objective tests over a week-long period both indoors and outdoors. (See our introductory and how we test articles for more details about our smartphone Battery protocol.)

The following section gathers key elements of our exhaustive tests and analyses performed in DXOMARK laboratories. Detailed performance evaluations under the form of reports are available upon request. Do not hesitate to contact us.

Battery Charger Wireless Display Processor
Oppo Find X7 Ultra 5000mAh 100W
(not included)
50W LTPO AMOLED
1440 x 3168
Qualcomm Snapdragon 8 Gen 3
Oppo Find X6 Pro 5000mAh 100W
(not included)
50W AMOLED
1440 x 3168
Qualcomm Snapdragon 8 Gen 2
Honor Magic6 Pro 5600mAh 80W
(not included)
66W OLED
1280 x 2800
Qualcomm Snapdragon 8 Gen 3

Autonomy

156

Oppo Find X7 Ultra

195

Honor X7b
How Autonomy score is composed

Autonomy score is composed of three performance sub-scores: Home / Office, On the go, and Calibrated use cases. Each sub-score comprises the results of a comprehensive range of tests for measuring autonomy in all kinds of real-life scenarios.

Light Usage
97h
Light Usage
Active: 2h30/day
Moderate Usage
67h
Moderate Usage
Active: 4h/day
Intense Usage
42h
Intense Usage
Active: 7h/day

Home/Office

171

Oppo Find X7 Ultra

221

Honor X7b

A robot housed in a Faraday cage performs a set of touch-based user actions during what we call our “typical usage scenario” (TUS) — making calls, video streaming, etc. — 4 hours of active use over the course of a 16-hour period, plus 8 hours of “sleep.” The robot repeats this set of actions every day until the device runs out of power.

Typical Usage Scenario discharge curves

On the go

122

Oppo Find X7 Ultra

195

Samsung Galaxy M51

Using a smartphone on the go takes a toll on autonomy because of extra “hidden” demands, such as the continuous signaling associated with cellphone network selection, for example. DXOMARK Battery experts take the phone outdoors and perform a precisely defined set of activities while following the same three-hour travel itinerary (walking, taking the bus, the subway…) for each device

Autonomy for on the go use cases (full charge)

Calibrated

148

Oppo Find X7 Ultra

198

Samsung Galaxy M51

For this series of tests, the smartphone returns to the Faraday cage and our robots repeatedly perform actions linked to one specific use case (such as gaming, video streaming, etc.) at a time. Starting from an 80% charge, all devices are tested until they have expended at least 5% of their battery power.

Autonomy for calibrated use cases (full charge)

Charging

170

Oppo Find X7 Ultra

218

Realme GT Neo 5 (240W)
How Charging score is composed

Charging is fully part of the overall battery experience. In some situations where autonomy is at a minimum, knowing how fast you can charge becomes a concern. The DXOMARK Battery charging score is composed of two sub-scores, (1) Full charge and (2) Quick boost.

Wired
Wired
98%
in 30 min
0h20
0 - 80%
0h32
Full charge
Wireless
Wireless
43%
in 30 min
1h12
0 - 80%
2h22
Full charge

Full charge

163

Oppo Find X7 Ultra

224

Realme GT Neo 5 (240W)

Full charge tests assess the reliability of the battery power gauge; measure how long and how much power the battery takes to charge from zero to 80% capacity, from 80 to 100% as shown by the UI, and until an actual full charge.

Power consumption and battery level during full charge
The charging curves, in wired and wireless (if available) showing the evolution of the battery level indicator as well as the power consumption in watts during the stages of charging toward full capacity.
Power consumption and battery level during wireless full charge
The charging curves, in wired and wireless (if available) showing the evolution of the battery level indicator as well as the power consumption in watts during the stages of charging toward full capacity.
Time to full charge
Time to full charge

Quick boost

178

Oppo Find X7 Ultra

212

Realme GT Neo 5 (240W)

With the phone at different charge levels (20%, 40%, 60%, 80%), Quick boost tests measure the amount of charge the battery receives after being plugged in for 5 minutes. The chart here compares the average autonomy gain from a quick 5-minute charge.

Average autonomy gain for a 5 minute charge (wired)

Efficiency

153

Oppo Find X7 Ultra

154

Oppo Reno6 5G
How Efficiency score is composed

The DXOMARK power efficiency score consists of two sub-scores, Charge up and Discharge rate, both of which combine data obtained during robot-based typical usage scenario, calibrated tests and charging evaluation, taking into consideration the device’s battery capacity. DXOMARK calculate the annual power consumption of the product, shown on below graph, which is representative of the overall efficiency during a charge and when in use.

Annual Consumption Oppo Find X7 Ultra
4.2 kWh
Efficient
Good
Bad
Inefficient

Charge up

146

Oppo Find X7 Ultra

205

Nubia RedMagic 7 Pro

The charge up sub-score is a combination of four factors: the overall efficiency of a full charge, related to how much energy you need to fill up the battery compared to the energy that the battery can provide; the efficiency of the travel adapter when it comes to transferring power from an outlet to your phone; the residual consumption when your phone is fully charged and still plugged into the charger; and the residual consumption of the charger itself, when the smartphone is disconnected from it. The chart here below shows the overall efficiency of a full charge in %.

Overall charge efficiency

Discharge

156

Oppo Find X7 Ultra

194

Apple iPhone 14 Pro

The discharge subscore rates the speed of a battery’s discharge during a test, which is independent of the battery’s capacity. It is the ratio of a battery’s capacity divided by its autonomy. A small-capacity battery could have the same autonomy as a large-capacity battery, indicating that the device is well-optimized, with a low discharge rate.

Average discharge current

The post Oppo Find X7 Ultra Battery test appeared first on DXOMARK.

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https://www.dxomark.com/oppo-find-x7-ultra-battery-test/feed/ 0 Oppo Find X7 Ultra Charging Time Charging Time Charging Time Quick Boost BATTERY BATTERY Light Usage Moderate Usage Intense Usage BATTERY BATTERY Wired Wireless BATTERY BATTERY Wired Wireless Wired Wireless
Crosscall Stellar-X5 Display test https://www.dxomark.com/crosscall-stellar-x5-display-test/ https://www.dxomark.com/crosscall-stellar-x5-display-test/#respond Tue, 04 Jun 2024 12:30:13 +0000 https://www.dxomark.com/?p=172786&preview=true&preview_id=172786 We put the Crosscall Stellar-X5 through our rigorous DXOMARK Display test suite to measure its performance across four criteria. In this test results, we will break down how it fared in a variety of tests and several common use cases. Overview Key display specifications 6.5 inches LCD IPS Dimensions: 172.4 x 80.1 x 11.9 mm [...]

The post Crosscall Stellar-X5 Display test appeared first on DXOMARK.

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We put the Crosscall Stellar-X5 through our rigorous DXOMARK Display test suite to measure its performance across four criteria. In this test results, we will break down how it fared in a variety of tests and several common use cases.

Overview

Key display specifications

  • 6.5 inches LCD IPS
  • Dimensions: 172.4 x 80.1 x 11.9 mm (6.79 x 3.15 x 0.47 inches)
  • Resolution: 1080 x 2400 pixels, (~405 ppi density)
  • Aspect ratio: 20:9
  • Refresh rate: 120 Hz

Scoring

Sub-scores and attributes included in the calculations of the global score.

Crosscall Stellar-X5
109
display
106

164

111

165

103

163

138

164

Pros

  • No frame drops when watching video
  • Accurate screen interactions, with quick reaction to touch
  • No screen flicker

Cons

  • Poor readability in indoor and outdoor conditions
  • Minimum luminance is too high in a low-light condition
  • Dark tones are not visible when watching HDR10 video
  • Brightness drops quickly when viewing the screen at an angle

The Crosscall Stellar-X5’s screen provided a very uneven performance in our Display protocol, with a screen experience that was affected by a pinkish cast in all conditions.

Although the Stellar-X5’s display luminance and contrast levels were able to match most ultra-premium phones in indoor conditions, the device’s display was still difficult to read, especially in bright outdoor environments. In complete darkness, the screen’s luminance remained much too bright to offer a comfortable viewing experience.

Watching HDR10 video was also a mixed experience. Although there were no frame drops, it was sometimes hard to make out the dark tones in the video content due to the lack of brightness.

Otherwise, the Crosscall Stellar-X5’s liquid crystal display was basically free of any flicker, a phenomenon that is more likely to occur in OLED displays, which are typically found on other ultra-premium phone displays.

Although intended touch interactions on the display were often fast and accurate, the display did frequently execute unwanted touches.

Test summary

About DXOMARK Display tests: For scoring and analysis, a device undergoes a series of objective and perceptual tests in controlled lab and real-life conditions. The DXOMARK Display score takes into account the overall user experience the screen provides, considering the hardware capacity and the software tuning. In testing, only factory-installed video and photo apps are used.  More in-depth details about how DXOMARK tests displays are available in the article “A closer look at DXOMARK Display testing.”

The following section focuses on the key elements of our exhaustive tests and analyses performed in DXOMARK laboratories. Full reports with detailed performance evaluations are available upon request. To order a copy, please contact us.

Readability

106

Crosscall Stellar-X5

164

Samsung Galaxy S24 Ultra
How Display Readability score is composed

Readability evaluates the user’s ease and comfort of viewing still content, such as photos or a web page, on the display under different lighting conditions. Our measurements run in the labs are completed by perceptual testing and analysis.

Luminance under various lighting conditions
This graph shows the screen luminance in environments that range from total darkness to outdoor conditions. In our labs, the indoor environment (250 lux to 830 lux) simulates the artificial and natural lighting conditions commonly seen in homes (with medium diffusion); the outdoor environment (from 20,000 lux) replicates a situation with highly diffused light.
Contrast under various lighting conditions
This graph shows the screen’s contrast levels in lighting environments that range from total darkness to outdoor conditions. In our labs, the indoor environment (250 lux to 830 lux) simulates the artificial and natural lighting conditions commonly seen in homes (with medium diffusion); the outdoor environment (from 20,000 lux) replicates a situation with highly diffused light.
Photo EOTF
The Electro-Optical Transfer Function (EOTF) defines how bits are converted into luminance out of the display. Gray levels (horizontal axis) represent the different shades from pure white (100% gray level) to pitch black (0% gray level). The standard for still images follows a 2.2 gamma. The flatter the curves, the harder it is to perceive differences between consecutive shades. This phenomenon is more frequent under intensive lighting conditions (20,000 lux) in the low gray level regions.
Photo EOTF
The Electro-Optical Transfer Function (EOTF) defines how bits are converted into luminance out of the display. Gray levels (horizontal axis) represent the different shades from pure white (100% gray level) to pitch black (0% gray level). The standard for still images follows a 2.2 gamma. The flatter the curves, the harder it is to perceive differences between consecutive shades. This phenomenon is more frequent under intensive lighting conditions (20,000 lux) in the low gray level regions.
Photo EOTF
The Electro-Optical Transfer Function (EOTF) defines how bits are converted into luminance out of the display. Gray levels (horizontal axis) represent the different shades from pure white (100% gray level) to pitch black (0% gray level). The standard for still images follows a 2.2 gamma. The flatter the curves, the harder it is to perceive differences between consecutive shades. This phenomenon is more frequent under intensive lighting conditions (20,000 lux) in the low gray level regions.
Luminance vs Viewing Angle
This graph presents how the luminance drops as viewing angles increase.


Skin-tone rendering in an indoor (1000 lux) environment
From left to right: Crosscall Stellar-X5, Fairphone 4, Poco F4 GT, Samsung Galaxy A55 5G
(Photos for illustration only)


Skin-tone rendering in a sunlight (>90 000 lux) environment
From left to right: Crosscall Stellar-X5, Fairphone 4, Poco F4 GT, Samsung Galaxy A55 5G
(Photos for illustration only)
Average Reflectance (SCI) Crosscall Stellar-X5
4.8 %
Low
Good
Bad
High
Crosscall Stellar-X5
Fairphone 5
Xiaomi Redmi Note 13 Pro Plus 5G
Samsung Galaxy A55 5G
SCI stands for Specular Component Included, which measures both the diffuse reflection and the specular reflection. Reflection from a simple glass sheet is around 4%, while it reaches about 6% for a plastic sheet. Although smartphones’ first surface is made of glass, their total reflection (without coating) is usually around 5% due to multiple reflections created by the complex optical stack.
Average reflectance is computed based on the spectral reflectance in the visible spectrum range (see graph below) and human spectral sensitivity.
Reflectance (SCI)
Wavelength (horizontal axis) defines light color, but also our capacity to see it; for example, UV is a very low wavelength that the human eye cannot see; Infrared is a high wavelength that the human eye also cannot see). White light is composed of all wavelengths between 400 nm and 700 nm, i.e. the range the human eye can see. Measurements above show the reflection of the devices within the visible spectrum range (400 nm to 700 nm).

Uniformity
This graph shows the distribution of luminance throughout the entire display panel. Uniformity is measured with a 20% gray pattern, with bright green indicating ideal luminance. An evenly spread-out bright green color on the screen indicates that the display’s brightness is uniform. Other colors indicate a loss of uniformity.
PWM Frequency Crosscall Stellar-X5
No flicker
Bad
Good
Bad
Great
Crosscall Stellar-X5
Fairphone 5
Xiaomi Redmi Note 13 Pro Plus 5G
Samsung Galaxy A55 5G
Displays flicker for 2 main reasons: refresh rate and Pulse Width Modulation. Pulse width modulation is a modulation technique that generates variable-width pulses to represent the amplitude of an analog input signal. This measurement is important for comfort because flickering at low frequencies can be perceived by some individuals, and in the most extreme cases, can induce seizures. Some experiments show that discomfort can appear at a higher frequency. A high PWM frequency (>1500 Hz) tends to be less disturbing for users.
Temporal Light Modulation
This graph represents the frequencies of lighting variation; the highest peak gives the most important modulation. The combination of a low frequency and a high peak is susceptible to inducing eye fatigue.

Color

111

Crosscall Stellar-X5

165

Google Pixel 8
How Display Color score is composed

Color evaluations are performed in different lighting conditions to see how well the device manages color with the surrounding environment. Devices are tested with sRGB and Display-P3 image patterns. Both faithful mode and default mode are used for our evaluation. Our measurements run in the labs are completed by perceptual testing & analysis.

White point color under D65 illuminant at 830 lux
This graph shows the white point coordinates for the image pattern using the default or the faithful mode. D65 illuminant (6500 Kelvin) is a standard that defines the color of white at midday; it is used for display calibration as a white reference, therefore devices are expected to be at or close to the D65 white point.
Color fidelity
Each arrow represents the color difference between a target color pattern (base of the arrow) and its actual measurement (tip of the arrow). The longer the arrow, the more visible the color difference is. If the arrow stays within the circle, the color difference will be visible only to trained eyes. The tested color mode is the most faithful proposed by each device, and a color correction is applied to account for the different white points of each device.
White color shift with angle
This graph shows the color shift when the screen is at an angle. Each dot represents a measurement at a particular angle. Dots inside the inner circle exhibit no color shift in angle; those between the inner and outer circle have shifts that only trained experts will see; but those falling outside the outer circle are noticeable.
Circadian Action Factor Crosscall Stellar-X5
0.34
Good
Good
Bad
Bad
Crosscall Stellar-X5
Fairphone 5
Xiaomi Redmi Note 13 Pro Plus 5G
Samsung Galaxy A55 5G
The circadian action factor is a metric that defines how light impacts the human sleep cycle. It is the ratio of the light energy contributing to sleep disturbances (centered around 450 nm, representing blue light) over the light energy contributing to our perception (covering 400 nm to 700 nm and centered on 550 nm, which is green light). A high circadian action factor means that the ambient light contains strong blue-light energy and is likely to affect the body’s sleep cycle, while a low circadian action factor implies the light has weak blue-light energy and is less likely to affect sleeping patterns.
Spectrum of white emission with Night mode ON
Spectrum measurements of a white web page with BLF mode on and off. This graph shows the impact of blue light filtering on the whole spectrum. All other settings used are default, in particular, the luminance level follows the auto-brightness adaptation from the manufacturer.
The wavelength (horizontal axis) defines light color but also the capacity to see it. For example, UV, which has a very low wavelength, and infra-red, which has a high wavelength, are both not visible to the human eye. White light is composed of all wavelengths between 400 nm and 700 nm, which is the range visible to the human eye.
Spectrum of white emission with Night mode OFF
Spectrum measurements of a white web page with BLF mode on and off. This graph shows the impact of blue light filtering on the whole spectrum. All other settings used are default, in particular, the luminance level follows the auto-brightness adaptation from the manufacturer.
The wavelength (horizontal axis) defines light color but also the capacity to see it. For example, UV, which has a very low wavelength, and infra-red, which has a high wavelength, are both not visible to the human eye. White light is composed of all wavelengths between 400 nm and 700 nm, which is the range visible to the human eye.

Video

103

Crosscall Stellar-X5

163

Samsung Galaxy S23
How Display Video score is composed

The video attribute evaluates the Standard Dynamic Range (SDR) and High Dynamic Range (HDR10) video handling in indoor and low-light conditions . Our measurements run in the labs are completed by perceptual testing and analysis.

Video peak luminance vs Lighting conditions
This bar chart presents the peak luminance measured for SDR and HDR10 content on a 10% window white pattern.
Video peak luminance vs Lighting conditions
This bar chart presents the peak luminance measured for SDR and HDR10 content on a 10% window white pattern.


Video rendering in a low-light (0 lux) environment
Clockwise from top left: Crosscall Stellar-X5, Fairphone 4, Poco F4 GT, Samsung Galaxy A55 5G
(Photos for illustration only)

SDR video EOTF curve
These curves represent the SDR video tone distribution for white color.
The Electro-Optical Transfer Function (EOTF) defines how bits are converted into luminance out of the display. Gray levels (horizontal axis) represent the different shades from pure white (100% gray level) to pitch black (0% gray level). The standard for SDR videos follows a 2.2 gamma. The flatter the curves, the harder it is to perceive differences between consecutive shades. This phenomenon is more frequent under bright lighting conditions (830 lux) in the low gray levels region (< 30%).
SDR video EOTF curve
These curves represent the SDR video tone distribution for white color.
The Electro-Optical Transfer Function (EOTF) defines how bits are converted into luminance out of the display. Gray levels (horizontal axis) represent the different shades from pure white (100% gray level) to pitch black (0% gray level). The standard for SDR videos follows a 2.2 gamma. The flatter the curves, the harder it is to perceive differences between consecutive shades. This phenomenon is more frequent under bright lighting conditions (830 lux) in the low gray levels region (< 30%).
HDR10 video EOTF curve
These curves represent the HDR10 video tone distribution for white color.
The Electro-Optical Transfer Function (EOTF) defines how bits are converted into luminance out of the display. Gray levels (horizontal axis) represent the different shades from pure white (100% gray level) to pitch black (0% gray level). While the PQ (Perceptual Quantizer) standard is reminded here for reference, it cannot be a target for smartphones as it is an absolute standard whereas smartphones adapt their brightness to lighting conditions. The flatter the curves, the harder it is to perceive differences between consecutive shades. This phenomenon is more frequent under bright lighting conditions (830 lux) in the low gray levels region (< 30%).
HDR10 video EOTF curve
These curves represent the HDR10 video tone distribution for white color.
The Electro-Optical Transfer Function (EOTF) defines how bits are converted into luminance out of the display. Gray levels (horizontal axis) represent the different shades from pure white (100% gray level) to pitch black (0% gray level). While the PQ (Perceptual Quantizer) standard is reminded here for reference, it cannot be a target for smartphones as it is an absolute standard whereas smartphones adapt their brightness to lighting conditions. The flatter the curves, the harder it is to perceive differences between consecutive shades. This phenomenon is more frequent under bright lighting conditions (830 lux) in the low gray levels region (< 30%).
Gamut coverage for video content under 0 lux environment
The primary colors are measured both in HDR10 and SDR. The solid color gamut measures the extent of the color area that the device can render in total darkness. The dotted line represents the content’s artistic intent. The measured gamut should match the master color space of each video.
Gamut coverage for video content under 830 lux environment
The primary colors are measured both in HDR10 and SDR. The solid color gamut measures the extent of the color area that the device can render in total darkness. The dotted line represents the content’s artistic intent. The measured gamut should match the master color space of each video.
SDR Video Frame Drops FHD at 30 fps
0 %
Few
Good
Bad
Many
Crosscall Stellar-X5
Fairphone 5
Xiaomi Redmi Note 13 Pro Plus 5G
Samsung Galaxy A55 5G
SDR Video Frame Drops UHD at 30 fps
1.2 %
Few
Good
Bad
Many
Crosscall Stellar-X5
Fairphone 5
Xiaomi Redmi Note 13 Pro Plus 5G
Samsung Galaxy A55 5G
These gauges present the percentage of frame irregularities in a 30-second video. These irregularities are not necessarily perceived by users (unless they are all located at the same time stamp) but are an indicator of performance.

Touch

138

Crosscall Stellar-X5

164

Google Pixel 7 Pro
How Display Touch score is composed

We evaluate the touch attributes under many types of contents where touch is key, and requires different behaviors such as gaming (quick touch to response time), web (smooth scrolling of the page) and images (accurate and smooth navigation from one image to another).

Average Touch Response Time Crosscall Stellar-X5
80 ms
Fast
Good
Bad
Slow
Crosscall Stellar-X5
Fairphone 5
Xiaomi Redmi Note 13 Pro Plus 5G
Samsung Galaxy A55 5G
Touch To Display response time
This response time test precisely evaluates the time elapsed between a single touch of the robot on the screen and the displayed action. This test is applied to activities that require high reactivity, such as gaming.

The post Crosscall Stellar-X5 Display test appeared first on DXOMARK.

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https://www.dxomark.com/crosscall-stellar-x5-display-test/feed/ 0 DISPLAY DISPLAY Crosscall_Stellar-X5_readability_skintone_indoor Crosscall_Stellar-X5_readability_skintone_sunlight Crosscall_Stellar-X5_readability_uniformity Crosscall_Stellar-X5_video_lowlight
Honor 200 Pro Display test https://www.dxomark.com/honor-200-pro-display-test/ https://www.dxomark.com/honor-200-pro-display-test/#respond Mon, 27 May 2024 16:23:58 +0000 https://www.dxomark.com/?p=173224&preview=true&preview_id=173224 We put the Honor 200 Pro through our rigorous DXOMARK Display test suite to measure its performance across four criteria. In this test results, we will break down how it fared in a variety of tests and several common use cases. Overview Key display specifications 6.8 inches OLED Dimensions 63.3x 75.2 mm x8.2 mm Resolution: [...]

The post Honor 200 Pro Display test appeared first on DXOMARK.

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We put the Honor 200 Pro through our rigorous DXOMARK Display test suite to measure its performance across four criteria. In this test results, we will break down how it fared in a variety of tests and several common use cases.

Overview

Key display specifications

  • 6.8 inches OLED
  • Dimensions 63.3x 75.2 mm x8.2 mm
  • Resolution: FHD+ 2700×1224 pixels
  • Refresh rate: 120 Hz
  • Aspect ratio:~20:9

Scoring

Sub-scores and attributes included in the calculations of the global score.

Honor 200 Pro Honor 200 Pro
151
display
145

164

165

Best

146

163

158

164

Eye Comfort Label & Attributes

Eye Comfort
<10%
Flicker perception probability
% of population
1.79
Minimum Brightness
in nits
0.65
Circadian Action Factor
 
95%
Color
Consistency
vs Display-P3 color space

Pros

  • Good color accuracy in all tested lighting conditions
  • Good HDR10 video rendering in low-light conditions
  • Excellent touch-to-display response time

Cons

  • Lack of smoothness when browsing the web
  • Lack of luminance for video content in indoor conditions
  • Many frame mismatches, especially for 60 fps content
  • Low peak luminance in challenging environments

The Honor 200 Pro’s display showed a strong performance in our Display protocol, supported by achieving a top score in color and an excellent showing in touch.

The Honor 200 Pro’s flicker-free screen provided a well-adapted brightness in low light and in indoor conditions. However, the display’s readability was heavily challenged in outdoor lighting, and the device couldn’t quite match the luminance and contrast levels of its competitors.

Color performance was by far the display’s strongest aspect. The device’s colors, tested in the faithful mode were accurate throughout. This, along with color uniformity, earned the device the highest score in this attribute. Despite a slight green color shift when viewed from an angle, the screen managed to maintain its color accuracy.

Touch performance was highlighted by a very fast and accurate average response time of 56 ms. In addition, the device showed no evidence of reacting to any unintended touches. However, there was a little lack of smoothness when scrolling the web and when viewing the gallery app.

Video performance was overall good, but results were held back mainly because of the many frame mismatches that were visible, especially on content displayed at 60 frames per second. The device’s screen luminance of different videos was generally low when watching in indoor conditions.

The Honor 200 Pro’s lack of flicker, well-controlled luminance as well as its color consistency and effective blue light filtering also earned it DXOMARK’s Eye Comfort label, distinguishing it as a device that is visually comfortable to use in low light.

Test summary

About DXOMARK Display tests: For scoring and analysis, a device undergoes a series of objective and perceptual tests in controlled lab and real-life conditions. The DXOMARK Display score takes into account the overall user experience the screen provides, considering the hardware capacity and the software tuning. In testing, only factory-installed video and photo apps are used.  More in-depth details about how DXOMARK tests displays are available in the article “A closer look at DXOMARK Display testing.”

The following section focuses on the key elements of our exhaustive tests and analyses performed in DXOMARK laboratories. Full reports with detailed performance evaluations are available upon request. To order a copy, please contact us.

Readability

145

Honor 200 Pro

164

Samsung Galaxy S24 Ultra
How Display Readability score is composed

Readability evaluates the user’s ease and comfort of viewing still content, such as photos or a web page, on the display under different lighting conditions. Our measurements run in the labs are completed by perceptual testing and analysis.

Luminance under various lighting conditions
This graph shows the screen luminance in environments that range from total darkness to outdoor conditions. In our labs, the indoor environment (250 lux to 830 lux) simulates the artificial and natural lighting conditions commonly seen in homes (with medium diffusion); the outdoor environment (from 20,000 lux) replicates a situation with highly diffused light.
Contrast under various lighting conditions
This graph shows the screen’s contrast levels in lighting environments that range from total darkness to outdoor conditions. In our labs, the indoor environment (250 lux to 830 lux) simulates the artificial and natural lighting conditions commonly seen in homes (with medium diffusion); the outdoor environment (from 20,000 lux) replicates a situation with highly diffused light.
Photo EOTF
The Electro-Optical Transfer Function (EOTF) defines how bits are converted into luminance out of the display. Gray levels (horizontal axis) represent the different shades from pure white (100% gray level) to pitch black (0% gray level). The standard for still images follows a 2.2 gamma. The flatter the curves, the harder it is to perceive differences between consecutive shades. This phenomenon is more frequent under intensive lighting conditions (20,000 lux) in the low gray level regions.
Photo EOTF
The Electro-Optical Transfer Function (EOTF) defines how bits are converted into luminance out of the display. Gray levels (horizontal axis) represent the different shades from pure white (100% gray level) to pitch black (0% gray level). The standard for still images follows a 2.2 gamma. The flatter the curves, the harder it is to perceive differences between consecutive shades. This phenomenon is more frequent under intensive lighting conditions (20,000 lux) in the low gray level regions.
Photo EOTF
The Electro-Optical Transfer Function (EOTF) defines how bits are converted into luminance out of the display. Gray levels (horizontal axis) represent the different shades from pure white (100% gray level) to pitch black (0% gray level). The standard for still images follows a 2.2 gamma. The flatter the curves, the harder it is to perceive differences between consecutive shades. This phenomenon is more frequent under intensive lighting conditions (20,000 lux) in the low gray level regions.
Luminance vs Viewing Angle
This graph presents how the luminance drops as viewing angles increase.
Skin-tone rendering in an outdoor (50 000 lux) environment
From left: Honor 200 Pro, Samsung Galaxy S24, Google Pixel 8
(Photos for illustration only)

Average Reflectance (SCI) Honor 200 Pro
4.8 %
Low
Good
Bad
High
Honor 200 Pro
Samsung Galaxy S24
Google Pixel 8
SCI stands for Specular Component Included, which measures both the diffuse reflection and the specular reflection. Reflection from a simple glass sheet is around 4%, while it reaches about 6% for a plastic sheet. Although smartphones’ first surface is made of glass, their total reflection (without coating) is usually around 5% due to multiple reflections created by the complex optical stack.
Average reflectance is computed based on the spectral reflectance in the visible spectrum range (see graph below) and human spectral sensitivity.
Reflectance (SCI)
Wavelength (horizontal axis) defines light color, but also our capacity to see it; for example, UV is a very low wavelength that the human eye cannot see; Infrared is a high wavelength that the human eye also cannot see). White light is composed of all wavelengths between 400 nm and 700 nm, i.e. the range the human eye can see. Measurements above show the reflection of the devices within the visible spectrum range (400 nm to 700 nm).
Uniformity

This graph shows the distribution of luminance throughout the entire display panel. Uniformity is measured with a 20% gray pattern, with bright green indicating ideal luminance. An evenly spread-out bright green color on the screen indicates that the display’s brightness is uniform. Other colors indicate a loss of uniformity.
PWM Frequency Honor 200 Pro
No flicker
Bad
Good
Bad
Great
Honor 200 Pro
Samsung Galaxy S24
Google Pixel 8
Displays flicker for 2 main reasons: refresh rate and Pulse Width Modulation. Pulse width modulation is a modulation technique that generates variable-width pulses to represent the amplitude of an analog input signal. This measurement is important for comfort because flickering at low frequencies can be perceived by some individuals, and in the most extreme cases, can induce seizures. Some experiments show that discomfort can appear at a higher frequency. A high PWM frequency (>1500 Hz) tends to be less disturbing for users.
Temporal Light Modulation
This graph represents the frequencies of lighting variation; the highest peak gives the most important modulation. The combination of a low frequency and a high peak is susceptible to inducing eye fatigue.

Color

165

Honor 200 Pro

Best

How Display Color score is composed

Color evaluations are performed in different lighting conditions to see how well the device manages color with the surrounding environment. Devices are tested with sRGB and Display-P3 image patterns. Both faithful mode and default mode are used for our evaluation. Our measurements run in the labs are completed by perceptual testing & analysis.

White point color under D65 illuminant at 830 lux
This graph shows the white point coordinates for the image pattern using the default or the faithful mode. D65 illuminant (6500 Kelvin) is a standard that defines the color of white at midday; it is used for display calibration as a white reference, therefore devices are expected to be at or close to the D65 white point.
Color fidelity
Each arrow represents the color difference between a target color pattern (base of the arrow) and its actual measurement (tip of the arrow). The longer the arrow, the more visible the color difference is. If the arrow stays within the circle, the color difference will be visible only to trained eyes. The tested color mode is the most faithful proposed by each device, and a color correction is applied to account for the different white points of each device.
White color shift with angle
This graph shows the color shift when the screen is at an angle. Each dot represents a measurement at a particular angle. Dots inside the inner circle exhibit no color shift in angle; those between the inner and outer circle have shifts that only trained experts will see; but those falling outside the outer circle are noticeable.
Circadian Action Factor Honor 200 Pro
0.65
Good
Good
Bad
Bad
Honor 200 Pro
Samsung Galaxy S24
Google Pixel 8
The circadian action factor is a metric that defines how light impacts the human sleep cycle. It is the ratio of the light energy contributing to sleep disturbances (centered around 450 nm, representing blue light) over the light energy contributing to our perception (covering 400 nm to 700 nm and centered on 550 nm, which is green light). A high circadian action factor means that the ambient light contains strong blue-light energy and is likely to affect the body’s sleep cycle, while a low circadian action factor implies the light has weak blue-light energy and is less likely to affect sleeping patterns.
Spectrum of white emission with Night mode ON
Spectrum measurements of a white web page with BLF mode on and off. This graph shows the impact of blue light filtering on the whole spectrum. All other settings used are default, in particular, the luminance level follows the auto-brightness adaptation from the manufacturer.
The wavelength (horizontal axis) defines light color but also the capacity to see it. For example, UV, which has a very low wavelength, and infra-red, which has a high wavelength, are both not visible to the human eye. White light is composed of all wavelengths between 400 nm and 700 nm, which is the range visible to the human eye.
Spectrum of white emission with Night mode OFF
Spectrum measurements of a white web page with BLF mode on and off. This graph shows the impact of blue light filtering on the whole spectrum. All other settings used are default, in particular, the luminance level follows the auto-brightness adaptation from the manufacturer.
The wavelength (horizontal axis) defines light color but also the capacity to see it. For example, UV, which has a very low wavelength, and infra-red, which has a high wavelength, are both not visible to the human eye. White light is composed of all wavelengths between 400 nm and 700 nm, which is the range visible to the human eye.

Video

146

Honor 200 Pro

163

Samsung Galaxy S23
How Display Video score is composed

The video attribute evaluates the Standard Dynamic Range (SDR) and High Dynamic Range (HDR10) video handling in indoor and low-light conditions . Our measurements run in the labs are completed by perceptual testing and analysis.

Video peak luminance vs Lighting conditions
This bar chart presents the peak luminance measured for SDR and HDR10 content on a 10% window white pattern.
Video peak luminance vs Lighting conditions
This bar chart presents the peak luminance measured for SDR and HDR10 content on a 10% window white pattern.

SDR video EOTF curve
These curves represent the SDR video tone distribution for white color.
The Electro-Optical Transfer Function (EOTF) defines how bits are converted into luminance out of the display. Gray levels (horizontal axis) represent the different shades from pure white (100% gray level) to pitch black (0% gray level). The standard for SDR videos follows a 2.2 gamma. The flatter the curves, the harder it is to perceive differences between consecutive shades. This phenomenon is more frequent under bright lighting conditions (830 lux) in the low gray levels region (< 30%).
SDR video EOTF curve
These curves represent the SDR video tone distribution for white color.
The Electro-Optical Transfer Function (EOTF) defines how bits are converted into luminance out of the display. Gray levels (horizontal axis) represent the different shades from pure white (100% gray level) to pitch black (0% gray level). The standard for SDR videos follows a 2.2 gamma. The flatter the curves, the harder it is to perceive differences between consecutive shades. This phenomenon is more frequent under bright lighting conditions (830 lux) in the low gray levels region (< 30%).
HDR10 video EOTF curve
These curves represent the HDR10 video tone distribution for white color.
The Electro-Optical Transfer Function (EOTF) defines how bits are converted into luminance out of the display. Gray levels (horizontal axis) represent the different shades from pure white (100% gray level) to pitch black (0% gray level). While the PQ (Perceptual Quantizer) standard is reminded here for reference, it cannot be a target for smartphones as it is an absolute standard whereas smartphones adapt their brightness to lighting conditions. The flatter the curves, the harder it is to perceive differences between consecutive shades. This phenomenon is more frequent under bright lighting conditions (830 lux) in the low gray levels region (< 30%).
HDR10 video EOTF curve
These curves represent the HDR10 video tone distribution for white color.
The Electro-Optical Transfer Function (EOTF) defines how bits are converted into luminance out of the display. Gray levels (horizontal axis) represent the different shades from pure white (100% gray level) to pitch black (0% gray level). While the PQ (Perceptual Quantizer) standard is reminded here for reference, it cannot be a target for smartphones as it is an absolute standard whereas smartphones adapt their brightness to lighting conditions. The flatter the curves, the harder it is to perceive differences between consecutive shades. This phenomenon is more frequent under bright lighting conditions (830 lux) in the low gray levels region (< 30%).
Gamut coverage for video content under 0 lux environment
The primary colors are measured both in HDR10 and SDR. The solid color gamut measures the extent of the color area that the device can render in total darkness. The dotted line represents the content’s artistic intent. The measured gamut should match the master color space of each video.
Gamut coverage for video content under 830 lux environment
The primary colors are measured both in HDR10 and SDR. The solid color gamut measures the extent of the color area that the device can render in total darkness. The dotted line represents the content’s artistic intent. The measured gamut should match the master color space of each video.
SDR Video Frame Drops FHD at 30 fps
8.4 %
Few
Good
Bad
Many
Honor 200 Pro
Samsung Galaxy S24
Google Pixel 8
SDR Video Frame Drops UHD at 30 fps
27.2 %
Few
Good
Bad
Many
Honor 200 Pro
Samsung Galaxy S24
Google Pixel 8
These gauges present the percentage of frame irregularities in a 30-second video. These irregularities are not necessarily perceived by users (unless they are all located at the same time stamp) but are an indicator of performance.

Touch

158

Honor 200 Pro

164

Google Pixel 7 Pro
How Display Touch score is composed

We evaluate the touch attributes under many types of contents where touch is key, and requires different behaviors such as gaming (quick touch to response time), web (smooth scrolling of the page) and images (accurate and smooth navigation from one image to another).

Average Touch Response Time Honor 200 Pro
56 ms
Fast
Good
Bad
Slow
Honor 200 Pro
Samsung Galaxy S24
Google Pixel 8
Touch To Display response time
This response time test precisely evaluates the time elapsed between a single touch of the robot on the screen and the displayed action. This test is applied to activities that require high reactivity, such as gaming.

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Xiaomi Redmi Note 13 Battery test https://www.dxomark.com/xiaomi-redmi-note-13/ https://www.dxomark.com/xiaomi-redmi-note-13/#respond Mon, 27 May 2024 11:18:03 +0000 https://www.dxomark.com/?p=173093 We put the Xiaomi Redmi Note 13 through our rigorous DXOMARK Battery test suite to measure its performance in autonomy, charging and efficiency. In these test results, we will break down how it fared in a variety of tests and several common use cases. Overview Key specifications: Battery capacity: 5000 mAh 33W charger (included) 6.67-inch, [...]

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We put the Xiaomi Redmi Note 13 through our rigorous DXOMARK Battery test suite to measure its performance in autonomy, charging and efficiency. In these test results, we will break down how it fared in a variety of tests and several common use cases.

Overview

Key specifications:

  • Battery capacity: 5000 mAh
  • 33W charger (included)
  • 6.67-inch, 1080 x 2400, 120 Hz, OLED display
  • Qualcomm Snapdragon 685 (6 nm)
  • Tested ROM / RAM combination: 256 GB + 8 GB

Scoring

Sub-scores and attributes included in the calculations of the global score.

Xiaomi Redmi Note 13
Xiaomi Redmi Note 13
117
battery
121
Autonomy
120

221

123

195

121

198

115
Charging
112

224

119

212

119

205

108

194

Key performances

Charging Time
2 days 8h
Battery life
Charging Time
0h44
80% Charging time
Charging Time
1h12
Full charging time
Quick Boost
3h44 autonomy
after 5-minute charge

Pros

  • Great autonomy, especially in video streaming and calling
  • Accurate battery gauge; 100% displayed on screen during charging measured 97.7% of real charged capacity
  • Very high adapter efficiency, with low residual power drain from the power grid

Cons

  • Weak autonomy in outdoor while browsing social apps
  • Limited autonomy regained from 5-minute charging boost
  • Relatively high discharging currents during gaming and idling with screen off

The Xiaomi Redmi Note 13 battery had an overall average performance, but this version showed a much stronger performance in autonomy and efficiency than its 5G counterpart, the Redmi Note 13 5G.

Under moderate usage, the Xiaomi Redmi Note 13 lasted more than 56 hours, compared with the 50 1/2 hours of the 5G version. The device showed great autonomy in most outdoor use cases, except when browsing social apps. In most of the calibrated use cases, the Redmi Note 13’s autonomy was around average, while the autonomy of video streaming and calling was considerably above average.

The Redmi Note 13’s 33W charger, which comes with the device, was able to fully charge the phone in 1 hour and 12 minutes, placing it in the top half of our database. However, the charging boost performance was limited by the charger’s power; a 5-minute charge yielded only 3 hours and 44 minutes of additional autonomy.

The Xiaomi Redmi Note 13 showed a slightly below-average performance in efficiency tests. The reason was linked to the relatively poor full-charge efficiency at 75.7%. However, the adapter of the Xiaomi Redmi Note 13 was relatively great, with an adapter efficiency at 92% and below-average residual power drain, whether the device was still connected or not. The discharging currents of Xiaomi Redmi Note 13 were around average, except for streaming videos, which was much lower. But discharging currents of gaming and idling were relatively higher than average.

Compared to other devices in the Essential segment (<$199), the Xiaomi Redmi Note 13 ranked in the top half, thanks to its strong autonomy results.

Test Summary

About DXOMARK Battery tests: For scoring and analysis in our smartphone battery reviews, DXOMARK engineers perform a variety of objective tests over a week-long period both indoors and outdoors. (See our introductory and how we test articles for more details about our smartphone Battery protocol.)

The following section gathers key elements of our exhaustive tests and analyses performed in DXOMARK laboratories. Detailed performance evaluations under the form of reports are available upon request. Do not hesitate to contact us.

Battery Charger Wireless Display Processor
Xiaomi Redmi Note 13 5000mAh 33W
(not included)
- AMOLED
1080 x 2400
MediaTek Dimensity 6080
Xiaomi Redmi Note 13 5G 5000mAh 33W
(not included)
- AMOLED
1080 x 2400
Mediatek Dimensity 6080
Samsung Galaxy A14 5G 5000mAh 15W
(not included)
- LCD
1080 x 2408
MediaTek Dimensity 700

Autonomy

121

Xiaomi Redmi Note 13

195

Honor X7b
How Autonomy score is composed

Autonomy score is composed of three performance sub-scores: Home / Office, On the go, and Calibrated use cases. Each sub-score comprises the results of a comprehensive range of tests for measuring autonomy in all kinds of real-life scenarios.

Light Usage
81h
Light Usage
Active: 2h30/day
Moderate Usage
56h
Moderate Usage
Active: 4h/day
Intense Usage
35h
Intense Usage
Active: 7h/day

Home/Office

120

Xiaomi Redmi Note 13

221

Honor X7b

A robot housed in a Faraday cage performs a set of touch-based user actions during what we call our “typical usage scenario” (TUS) — making calls, video streaming, etc. — 4 hours of active use over the course of a 16-hour period, plus 8 hours of “sleep.” The robot repeats this set of actions every day until the device runs out of power.

Typical Usage Scenario discharge curves

On the go

123

Xiaomi Redmi Note 13

195

Samsung Galaxy M51

Using a smartphone on the go takes a toll on autonomy because of extra “hidden” demands, such as the continuous signaling associated with cellphone network selection, for example. DXOMARK Battery experts take the phone outdoors and perform a precisely defined set of activities while following the same three-hour travel itinerary (walking, taking the bus, the subway…) for each device

Autonomy for on the go use cases (full charge)

Calibrated

121

Xiaomi Redmi Note 13

198

Samsung Galaxy M51

For this series of tests, the smartphone returns to the Faraday cage and our robots repeatedly perform actions linked to one specific use case (such as gaming, video streaming, etc.) at a time. Starting from an 80% charge, all devices are tested until they have expended at least 5% of their battery power.

Autonomy for calibrated use cases (full charge)

Charging

115

Xiaomi Redmi Note 13

218

Realme GT Neo 5 (240W)
How Charging score is composed

Charging is fully part of the overall battery experience. In some situations where autonomy is at a minimum, knowing how fast you can charge becomes a concern. The DXOMARK Battery charging score is composed of two sub-scores, (1) Full charge and (2) Quick boost.

Wired
Wired
56%
in 30 min
0h44
0 - 80%
1h12
Full charge

Full charge

112

Xiaomi Redmi Note 13

224

Realme GT Neo 5 (240W)

Full charge tests assess the reliability of the battery power gauge; measure how long and how much power the battery takes to charge from zero to 80% capacity, from 80 to 100% as shown by the UI, and until an actual full charge.

Power consumption and battery level during full charge
The charging curves, in wired and wireless (if available) showing the evolution of the battery level indicator as well as the power consumption in watts during the stages of charging toward full capacity.
Time to full charge
The time to full charge chart breaks down the necessary time to reach 80%, 100% and full charge.

Quick boost

119

Xiaomi Redmi Note 13

212

Realme GT Neo 5 (240W)

With the phone at different charge levels (20%, 40%, 60%, 80%), Quick boost tests measure the amount of charge the battery receives after being plugged in for 5 minutes. The chart here compares the average autonomy gain from a quick 5-minute charge.

Average autonomy gain for a 5 minute charge (wired)

Efficiency

112

Xiaomi Redmi Note 13

154

Oppo Reno6 5G
How Efficiency score is composed

The DXOMARK power efficiency score consists of two sub-scores, Charge up and Discharge rate, both of which combine data obtained during robot-based typical usage scenario, calibrated tests and charging evaluation, taking into consideration the device’s battery capacity. DXOMARK calculate the annual power consumption of the product, shown on below graph, which is representative of the overall efficiency during a charge and when in use.

Annual Consumption Xiaomi Redmi Note 13
4.5 kWh
Efficient
Good
Bad
Inefficient

Charge up

119

Xiaomi Redmi Note 13

205

Nubia RedMagic 7 Pro

The charge up sub-score is a combination of four factors: the overall efficiency of a full charge, related to how much energy you need to fill up the battery compared to the energy that the battery can provide; the efficiency of the travel adapter when it comes to transferring power from an outlet to your phone; the residual consumption when your phone is fully charged and still plugged into the charger; and the residual consumption of the charger itself, when the smartphone is disconnected from it. The chart here below shows the overall efficiency of a full charge in %.

Overall charge efficiency

Discharge

108

Xiaomi Redmi Note 13

194

Apple iPhone 14 Pro

The discharge subscore rates the speed of a battery’s discharge during a test, which is independent of the battery’s capacity. It is the ratio of a battery’s capacity divided by its autonomy. A small-capacity battery could have the same autonomy as a large-capacity battery, indicating that the device is well-optimized, with a low discharge rate.

Average discharge current

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https://www.dxomark.com/xiaomi-redmi-note-13/feed/ 0 Xiaomi Redmi Note 13 Charging Time Charging Time Charging Time Quick Boost BATTERY BATTERY Light Usage Moderate Usage Intense Usage BATTERY BATTERY Wired BATTERY BATTERY
Xiaomi 14 Ultra Camera test https://www.dxomark.com/xiaomi-14-ultra-camera-test/ https://www.dxomark.com/xiaomi-14-ultra-camera-test/#respond Wed, 22 May 2024 11:00:06 +0000 https://www.dxomark.com/?p=171171&preview=true&preview_id=171171 We put the Xiaomi 14 Ultra through our rigorous DXOMARK Camera test suite to measure its performance in photo, video, and zoom quality from an end-user perspective. This article breaks down how the device fared in a variety of tests and several common use cases and is intended to highlight the most important results of [...]

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We put the Xiaomi 14 Ultra through our rigorous DXOMARK Camera test suite to measure its performance in photo, video, and zoom quality from an end-user perspective. This article breaks down how the device fared in a variety of tests and several common use cases and is intended to highlight the most important results of our testing with an extract of the captured data.

Overview

Key camera specifications:

  • Primary: 50MP 1″ sensor, 24mm equivalent, f/1.6-4.0 automatic variable aperture lens, PDAF, OIS
  • Ultra-wide: 50MP 1/2.51″ sensor, 12mm equivalent, f/1.8-aperture lens, PDAF
  • Tele1: 50MP 1/2.51″ sensor, 75mm equivalent (3.2x) lens
  • Tele2: 50MP 1/2.51″ sensor, 120mm equivalent (5x) lens

Scoring

Sub-scores and attributes included in the calculations of the global score.


Xiaomi 14 Ultra
149
camera
144
Photo
117

130

111

128

93

125

108

124

112

117

80

82

75
Bokeh
75

85

83
Preview
83

91

160
Zoom
120

Best

113

122

150
Video
113

116

118

119

114

120

113

118

118

119

75

86

115

118

Use cases & Conditions

Use case scores indicate the product performance in specific situations. They are not included in the overall score calculations.

BEST 180

Outdoor

Photos & videos shot in bright light conditions (≥1000 lux)

BEST 169

Indoor

Photos & videos shot in good lighting conditions (≥100lux)

BEST 138

Lowlight

Photos & videos shot in low lighting conditions (<100 lux)

BEST 154

Friends & Family

Portrait and group photo & videos

Pros

  • Good highlight retention, even in difficult backlit scenes
  • Almost noise-free images across all light conditions, including low light
  • Good detail when zooming
  • Accurate autofocus
  • Good exposure and fairly wide dynamic range
  • Accurate white balance and nice colors in most conditions
  • Effective stabilization in static video and when walking while recording

Cons

  • Often noticeable shutter lag
  • Limited depth of field results in some out-of-focus subjects in group portraits
  • Occasional color inaccuracies, especially in low light
  • Slightly soft textures across all test conditions
  • Local noise in some indoor and low light conditions
  • Occasionally slow focus transitions in video
  • Sharpness differences between video frames

The Xiaomi Ultra 14 delivered a good performance in the DXOMARK Camera tests, making it the best Xiaomi phone tested to date. However, it did not make it among the very best in our ranking. With a total of four 50MP image sensors, variable aperture, photo, and video HDR modes, as well as a host of other features and modes, the 14 Ultra offers some of the most impressive camera specs in the business. In terms of hardware, not much has changed from the 13 Ultra, though, meaning that most of the improvements over the predecessor are down to refined tuning and software optimization.

In our tests, overall photo quality was excellent, with a wide dynamic range, low noise and nice colors. However, the Xiaomi lagged behind the competition in some areas. It did not offer a zero shutter lag and the levels of captured detail were lower than on the best devices in our ranking. The 14 Ultra achieved the best results for tele zoom to date and was particularly impressive at close and medium range tele settings. However, at the opposite end of the zoom spectrum, ultra-wide results lagged behind other flagships in some test categories.

Video performance was excellent, thanks to good exposure and a wide dynamic range, nice colors and low noise. Video stabilization did a good job at keeping video footage smooth and stable. However, our testers also noticed local noise in some indoor and low light scenes, slow focus transitions and sharpness differences between video frames.

Please note that the Xiaomi 14 Ultra sample photos and videos were captured and analyzed in HDR mode, as the Xiaomi HDR mode is compatible with Google’s. The Huawei and Apple examples used in this article were captured and analyzed in their respective HDR formats, but their images might not be displayed as HDR on other devices and web browsers due to the makers’ proprietary HDR formats.

Xiaomi 14 Ultra – Vivid colors in Leica Vibrant mode

Test summary

About DXOMARK Camera tests: DXOMARK’s Camera evaluations take place in laboratories and in real-world situations using a wide variety of subjects. The scores rely on objective tests for which the results are calculated directly by measurement software on our laboratory setups, and on perceptual tests in which a sophisticated set of metrics allow a panel of image experts to compare aspects of image quality that require human judgment. Testing a smartphone involves a team of engineers and technicians for about a week. Photo, Zoom, and Video quality are scored separately and then combined into an Overall score for comparison among the cameras in different devices. For more information about the DXOMARK Camera protocol, click here. More details on smartphone camera scores are available here. The following section gathers key elements of DXOMARK’s exhaustive tests and analyses. Full performance evaluations are available upon request. Please contact us  on how to receive a full report.

Xiaomi 14 Ultra Camera Scores vs Ultra-Premium
This graph compares DXOMARK photo, zoom and video scores between the tested device and references. Average and maximum scores of the price segment are also indicated. Average and maximum scores for each price segment are computed based on the DXOMARK database of devices tested.

Photo

144

Xiaomi 14 Ultra

169

Huawei Pura 70 Ultra
About DXOMARK Camera Photo tests

For scoring and analysis, DXOMARK engineers capture and evaluate more than 2,600 test images both in controlled lab environments and in outdoor, indoor and low-light natural scenes, using the camera’s default settings. The photo protocol is designed to take into account the main use cases and is based on typical shooting scenarios, such as portraits, family, and landscape photography. The evaluation is performed by visually inspecting images against a reference of natural scenes, and by running objective measurements on images of charts captured in the lab under different lighting conditions from 1 to 1,000+ lux and color temperatures from 2,300K to 6,500K.

The Xiaomi 14 Ultra delivered very good results with its primary camera. Noise levels were very low across all light conditions, and a wide dynamic range ensured good highlight and shadow detail. Colors were nice, with accurate white balance and the autofocus system delivered good sharpness on subjects. However, unlike most direct rivals, the 14 Ultra did not offer a zero shutter lag, and the level of captured detail was lower than on the best-in-class devices. Our testers also observed some color casts in low light, contrast issues, and HDR artifacts.

Like on previous Xiaomi models, the 14 Ultra lets users choose between the Leica Vibrant and Leica Authentic modes in the camera app. For the purpose of this test, Vibrant mode was used, but results would be very similar with Authentic mode. Which mode you prefer is pretty much a matter of personal taste. It’s also worth mentioning that the 14 Ultra offers a Pro mode, allowing for manual selection of various exposure parameters. Pro mode was not tested, but the user interface looks intuitive and appears to be a good option for more seasoned photographers.

Xiaomi 14 Ultra Photo scores vs Ultra-Premium
The photo tests analyze image quality attributes such as exposure, color, texture, and noise in various light conditions. Autofocus performances and the presence of artifacts on all images captured in controlled lab conditions and in real-life images are also evaluated. All these attributes have a significant impact on the final quality of the images captured with the tested device and can help to understand the camera's main strengths and weaknesses.

Exposure

117

Xiaomi 14 Ultra

130

Huawei Pura 70 Ultra

Exposure is one of the key attributes for technically good pictures. The main attribute evaluated is the brightness of the main subject through various use cases such as landscape, portrait, or still life. Other factors evaluated are the contrast and the dynamic range, eg. the ability to render visible details in both bright and dark areas of the image. Repeatability is also important because it demonstrates the camera's ability to provide the same rendering when shooting several images of the same scene.

In our tests, the Xiaomi 14 Ultra auto exposure worked well, with good subject exposure in most conditions. A wide dynamic range ensured good detail in the highlight and shadow portions of the frame, but our testers also observed some contrast issues.

Xiaomi 14 Ultra – Accurate face exposure, wide dynamic range, low face contrast
Huawei Mate 60 Pro+ – Accurate face exposure, wide dynamic range
Apple iPhone 15 Pro Max – Accurate face exposure, wide dynamic range, low face contrast

In very low light, the Xiaomi produced slightly darker exposures than some competitors. This resulted in more pronounced clipping in the shadow portions of the frame.

Xiaomi 14 Ultra – Shadow clipping
Huawei Mate 60 Pro+ – Less shadow clipping
Apple iPhone 15 Pro Max – Less shadow clipping

Color

111

Xiaomi 14 Ultra

128

Huawei Pura 70 Ultra

Color is one of the key attributes for technically good pictures. The image quality attributes analyzed are skin-tone rendering, white balance, color shading, and repeatability. For color and skin tone rendering, we penalize unnatural colors but we respect a manufacturer's choice of color signature.

In Leica Vibrant mode, colors were bright and – as one would expect – vibrant. This worked especially well for landscapes with green tones and blue skies but could be less successful for skin-tone rendering.

Xiaomi 14 Ultra – Orange skin tones
Huawei Mate 60 Pro+ – More natural and pleasant skin tones
Apple iPhone 15 Pro Max – More natural and pleasant skin tones

White balance was generally neutral, but in warm low light, color casts could be observed. These casts could be stronger, with a different hue, than in the actual scene. In this kind of light condition, many competitors tended to produce a more natural white balance.

Xiaomi 14 Ultra – Pinkish cast
Huawei Mate 60 Pro+ – Yellow cast
Apple iPhone 15 Pro Max – Orange cast

Autofocus

93

Xiaomi 14 Ultra

125

Huawei Pura 70 Ultra

Autofocus tests concentrate on focus accuracy, focus repeatability, shooting time delay, and depth of field. Shooting delay is the difference between the time the user presses the capture button and the time the image is actually taken. It includes focusing speed and the capability of the device to capture images at the right time, what is called 'zero shutter lag' capability. Even if a shallow depth of field can be pleasant for a single-subject portrait or close-up shot, it can also be a problem in some specific conditions such as group portraits; Both situations are tested. Focus accuracy is also evaluated in all the real-life images taken, from infinity to close-up objects and in low light to outdoor conditions.

Autofocus irregularity and speed: 20Lux Δ7EV Tungsten Handheld
This graph illustrates focus accuracy and speed and also zero shutter lag capability by showing the edge acutance versus the shooting time measured on the AFHDR setup on a series of pictures. All pictures were taken at 20Lux with Tungsten illuminant, 500ms after the defocus. On this scenario, the backlit panels in the scene are set up to simulate a fairly high dynamic range: the luminance ratio between the brightest point and a 18% reflective gray patch is 7, which we denote by a Exposure Value difference of 7. The edge acutance is measured on the four edges of the Dead Leaves chart, and the shooting time is measured on the LED Universal Timer.

While the Xiaomi’s direct competitors all come with zero shutter lag, the 14 Ultra, like its predecessor, does not offer this feature in most test conditions. As a result, in our tests the image could be captured with a slight delay after pressing the shutter, increasing the risk of missing the decisive moment in moving scenes. In contrast, both Huawei’s and Apple’s current models take very little time to capture. This can be seen in the graph above, as well as in the sample shots below where the shutter is pressed as the model passes under the beam.

Xiaomi 14 Ultra – Shutter lag, model has moved forward
Huawei Mate 60 Pro+ – Zero shutter lag
Apple iPhone 15 Pro Max – Zero shutter lag

Like the latest Huawei ultra-premium devices, the Mate 60 Pro+ and Pura 70 Ultra, the Xiaomi 14 Ultra comes with a variable aperture. Like the Huawei variant, the Xiaomi system automatically adjusts to the light conditions, using a wider aperture in low light. However, it does not appear to adjust to scene content. Therefore, in group portraits, faces in the background could be out of focus in our tests.

Xiaomi 14 Ultra - Group portrait
Xiaomi 14 Ultra - Shallow depth of field, background face out of focus
Huawei Pura 70 Ultra - Group portrait
Huawei Pura 70 Ultra - Wide depth of field, background face in focus

Texture

108

Xiaomi 14 Ultra

124

Apple iPhone 15 Pro

Texture tests analyze the level of details and the texture of subjects in the images taken in the lab as well as in real-life scenarios. For natural shots, particular attention is paid to the level of details in the bright and dark areas of the image. Objective measurements are performed on chart images taken in various lighting conditions from 1 to 1000 lux and different kinds of dynamic range conditions. The charts used are the proprietary DXOMARK chart (DMC) and the Dead Leaves chart.

DXOMARK CHART (DMC) detail preservation score vs lux levels for tripod and handheld conditions
This graph shows the evolution of the DMC detail preservation score with the level of lux, for two holding conditions. DMC detail preservation score is derived from an AI-based metric trained to evaluate texture and details rendering on a selection of crops of our DXOMARK chart.

The Xiaomi 14 Ultra captured pretty decent detail that is good enough when viewing images on the device display or for typical social media use. However, under closer inspection, it is noticeable that the competition delivers higher levels of detail and better textures, especially when shooting indoors or in low light.

Xiaomi 14 Ultra - Indoor detail
Xiaomi 14 Ultra - Soft detail
Huawei Mate 60 Pro+ - Indoor detail
Huawei Mate 60 Pro+ - Finer detail
Apple iPhone 15 Pro Max - Indoor detail
Apple iPhone 15 Pro Max - Finer detail

Noise

112

Xiaomi 14 Ultra

117

Huawei Pura 70 Ultra

Noise tests analyze various attributes of noise such as intensity, chromaticity, grain, structure on real-life images as well as images of charts taken in the lab. For natural images, particular attention is paid to the noise on faces, landscapes, but also on dark areas and high dynamic range conditions. Noise on moving objects is also evaluated on natural images. Objective measurements are performed on images of charts taken in various conditions from 1 to 1000 lux and different kinds of dynamic range conditions. The chart used is the Dead Leaves chart and the standardized measurement such as Visual Noise derived from ISO 15739.

Visual noise evolution with illuminance levels in handheld condition
This graph shows the evolution of visual noise metric with the level of lux in handheld condition. The visual noise metric is the mean of visual noise measurement on all patches of the Dead Leaves chart in the AFHDR setup. DXOMARK visual noise measurement is derived from ISO15739 standard.

Artifacts

80

Xiaomi 14 Ultra

82

Xiaomi Redmi 12 5G

The artifacts evaluation looks at lens shading, chromatic aberrations, geometrical distortion, edges ringing, halos, ghosting, quantization, unexpected color hue shifts, among others type of possible unnatural effects on photos. The more severe and the more frequent the artifact, the higher the point deduction on the score. The main artifacts observed and corresponding point loss are listed below.

Main photo artifacts penalties

Our experts noticed several HDR-related artifacts, including halo effects, image fusion issues, and ghosting.

Xiaomi 14 Ultra - Portrait with motion
Xiaomi 14 Ultra - Ghosting

Bokeh

75

Xiaomi 14 Ultra

85

Huawei Pura 70 Ultra

Bokeh is tested in one dedicated mode, usually portrait or aperture mode, and analyzed by visually inspecting all the images captured in the lab and in natural conditions. The goal is to reproduce portrait photography comparable to one taken with a DLSR and a wide aperture. The main image quality attributes paid attention to are depth estimation, artifacts, blur gradient, and the shape of the bokeh blur spotlights. Portrait image quality attributes (exposure, color, texture) are also taken into account.

The Xiaomi 14 Ultra camera app offers two different modes for bokeh simulation. For this test, we have used and scored the master portrait mode, but both modes delivered similar results in our protocol.

Xiaomi 14 Ultra - Master Portrait mode
Xiaomi 14 Ultra - Depth estimation errors on spikes and on background
Huawei Pura 70 Ultra - Aperture mode
Huawei Pura 70 Ultra - Excellent depth estimation

The Xiaomi’s master portrait mode worked well in our tests, with strong background blur and very good subject detail. However, it lagged slightly behind the competition in terms of subject isolation, with more segmentation artifacts and an overall less natural bokeh effect. Our testers also noticed a significantly reduced dynamic range in this mode, with frequent highlight and shadow clipping. In addition, color rendering was less vibrant, especially on faces.

Xiaomi 14 Ultra – Limited dynamic range, low color saturation and skin tones in master portrait mode
Apple iPhone 15 Pro Max – Pleasant color rendering, extended dynamic range in portrait mode

Preview

83

Xiaomi 14 Ultra

91

Apple iPhone 14 Pro Max

Preview tests analyze the image quality of the camera app's preview of the image, with particular attention paid to the difference between the capture and the preview, especially regarding dynamic range and the application of the bokeh effect. Also evaluated is the smoothness of the exposure, color and focus adaptation when zooming from the minimal to the maximal zoom factor available. The preview frame rate is measured using the LED Universal Timer.

The Xiaomi 14 Ultra’s preview image on the display was often significantly different from the actual capture, making it difficult for the photographer to predict the final result.

Xiaomi 14 Ultra – Capture
Xiaomi 14 Ultra – Preview – Difference in terms of bokeh effect and more limited dynamic range than capture

Zoom

160

Xiaomi 14 Ultra

164

Huawei Pura 70 Ultra
About DXOMARK Camera Zoom tests

DXOMARK engineers capture and evaluate over 400 test images in controlled lab environments and in outdoor, indoor, and low-light natural scenes, using the camera’s default settings and pinch zoom at various zoom factors from ultra wide to very long-range zoom. The evaluation is performed by visually inspecting the images against a reference of natural scenes, and by running objective measurements of chart mages captured in the lab under different conditions from 20 to 1000 lux and color temperatures from 2300K to 6500K.

In our tests, the Xiaomi 14 Ultra did very well in the zoom category. Thanks to the powerful tele hardware (two dedicated tele cameras) and its performance, the device achieved the highest score to date in tele. Image results at close and medium tele range were particularly impressive. The ultra-wide camera captured good image quality as well, but lagged behind the best in class for some test attributes.

Xiaomi 14 Ultra Zoom Scores vs Ultra-Premium
This graph illustrates the relative scores for the different zoom ranges evaluated. The abscissa is expressed in 35mm equivalent focal length. Zooming-in scores are displayed on the right and Zooming-out scores on the left.

Wide

113

Xiaomi 14 Ultra

122

Huawei Pura 70 Ultra

These tests analyze the performance of the ultra-wide camera at several focal lengths from 12 mm to 20 mm. All image quality attributes are evaluated, with particular attention paid to such artifacts as chromatic aberrations, lens softness, and distortion. Pictures below are an extract of tested scenes.

The Xiaomi 14 Ultra ultra-wide camera delivered an overall good performance but could not quite keep up with the best, such as the Honor Magic6 Pro or Huawei Mate 60 Pro+, especially in terms of detail from 16mm to 21mm equivalent focal length. Image noise was well under control but a lack of detail was noticeable.

Xiaomi 14 Ultra - Ultra-wide (18mm)
Xiaomi 14 Ultra - Slight loss of detail on face
Huawei Mate 60 Pro+ - Ultra-wide (18mm)
Huawei Mate 60 Pro+ - Good subject detail
Apple iPhone 15 Pro Max - Ultra-wide (18mm)
Apple iPhone 15 Pro Max - Good subject detail, some noise

Tele

120

Xiaomi 14 Ultra

Best

All image quality attributes are evaluated at focal lengths from approximately 40 mm to 300 mm, with particular attention paid to texture and detail. The score is derived from a number of objective measurements in the lab and perceptual analysis of real-life images.

DXOMARK CHART (DMC) detail preservation score per focal length
This graph shows the evolution of the DMC detail preservation score with respect to the full-frame equivalent focal length for different light conditions. The x-axis represents the equivalent focal length measured for each corresponding shooting distance and the y-axis represents the maximum details preservation metric score: higher value means better quality. Large dots correspond to zoom ratio available in the user interface of the camera application.
DXOMARK CHART (DMC) detail preservation score per focal length
This graph shows the evolution of the DMC detail preservation score with respect to the full-frame equivalent focal length for different light conditions. The x-axis represents the equivalent focal length measured for each corresponding shooting distance and the y-axis represents the maximum details preservation metric score: higher value means better quality. Large dots correspond to zoom ratio available in the user interface of the camera application.
DXOMARK CHART (DMC) detail preservation score per focal length
This graph shows the evolution of the DMC detail preservation score with respect to the full-frame equivalent focal length for different light conditions. The x-axis represents the equivalent focal length measured for each corresponding shooting distance and the y-axis represents the maximum details preservation metric score: higher value means better quality. Large dots correspond to zoom ratio available in the user interface of the camera application.
DXOMARK CHART (DMC) detail preservation score per focal length
This graph shows the evolution of the DMC detail preservation score with respect to the full-frame equivalent focal length for different light conditions. The x-axis represents the equivalent focal length measured for each corresponding shooting distance and the y-axis represents the maximum details preservation metric score: higher value means better quality. Large dots correspond to zoom ratio available in the user interface of the camera application.

The Xiaomi 14 Ultra offers mobile photographers multiple options in the zoom category, but its strongest performance was in tele. The device provided an excellent tele zooming experience, with images that contained very little noise but a high level of details, especially at close and medium range.

Xiaomi 14 Ultra - Close range tele (50mm)
Xiaomi 14 Ultra - Good detail, excellent focus on face
Apple iPhone 15 Ultra - Close range tele (50mm)
Apple iPhone 15 Ultra - Lack of detail, slightly out of focus

Even at challenging long-range tele settings such as 170mm equivalent, the 14 Ultra produced crisp images containing an impressive amount of detail, while keeping noise very well under control.

Xiaomi 14 Ultra - Long range tele (170mm)
Xiaomi 14 Ultra - Limited noise, fairly good detail
Huawei Mate 60 Pro+ - Long range tele (170mm)
Huawei Mate 60 Pro+ - Limited noise, loss of detail, ringing
Apple iPhone 15 Pro Max - Long range tele (170mm)
Apple iPhone 15 Pro Max - Slight noise, fairly good detail

The tele module also provided outstanding macro results for a smartphone thanks to its capability to focus on a subject at an extremely close range. While the macro did not achieve the 1:1 magnification of some competitors, small subjects were captured, filling the frame with lots of detail and lower noise levels than the competition.

Xiaomi 14 Ultra – 120mm close focus – Excellent detail, almost noise-free
Huawei Pura 70 Ultra – 120mm close focus –  Significant loss of detail
Apple iPhone 15 Pro Max – 120mm close focus – Significant loss of detail, noise

Video

150

Xiaomi 14 Ultra

158

Apple iPhone 15 Pro
About DXOMARK Camera Video tests

DXOMARK engineers capture and evaluate more than 2.5 hours of video in controlled lab environments and in natural low-light, indoor and outdoor scenes, using the camera’s default settings. The evaluation consists of visually inspecting natural videos taken in various conditions and running objective measurements on videos of charts recorded in the lab under different conditions from 1 to 1000+ lux and color temperatures from 2,300K to 6,500K.

In our tests, the Xiaomi 14 Ultra delivered an excellent video performance, with good exposure and a wide dynamic range, nice colors, low noise as well as effective stabilization. On the downside, our testers observed local noise in some indoor and low-light scenes, occasionally slow focus transitions, and sharpness differences between video frames.

The camera supports recording in 8K resolution at 30fps and 4K at 60fps, across all rear cameras. In addition, the 14 Ultra offers a specialized movie mode with adjustable frame rates and various cinematic options, expanding the creative flexibility of videographers. We tested the Xiaomi’s master cinema mode, which uses an HLG (Hybrid Log-Gamma)-based HDR format. Dolby Vision is also available in the settings, offering a different, brighter rendering. Overall performance is similar for both modes.

Xiaomi 14 Ultra Video scores vs Ultra-Premium
Video tests analyze the same image quality attributes as for still images, such as exposure, color, texture, or noise, in addition to temporal aspects such as speed, and smoothness and stability of exposure, white balance, and autofocus transitions.

Exposure

113

Xiaomi 14 Ultra

116

Apple iPhone 15 Pro

Exposure tests evaluate the brightness of the main subject and the dynamic range, eg. the ability to render visible details in both bright and dark areas of the image. Stability and temporal adaption of the exposure are also analyzed.

The Xiaomi 14 Ultra delivered very good results for video exposure. Subject exposure was good and a wide dynamic range ensured good highlight and shadow detail, even when recording in low light or in scenes with backlighting. However,  our testers occasionally noticed some slight exposure transition issues and instabilities under indoor conditions and in low light.

Xiaomi 14 Ultra – Accurate target exposure, wide dynamic range but slight exposure transition issues

Apple iPhone 15 Pro Max – Accurate target exposure, wide dynamic range and smooth exposure transition

Color

118

Xiaomi 14 Ultra

119

Honor Magic6 Pro

Image-quality color analysis looks at color rendering, skin-tone rendering, white balance, color shading, stability of the white balance and its adaption when light is changing.

Video color was excellent when recording in bright daylight and under indoor conditions. A slight, but still acceptable, color cast could be noticeable in low light. Skin tones were nice and accurate in most test scenes.

Xiaomi 14 Ultra – Neutral white balance, accurate skin tone rendering

Apple iPhone 15 Pro Max – Accurate white balance and skin tone rendering

Autofocus

114

Xiaomi 14 Ultra

120

Huawei Pura 70 Ultra

Video focus worked reliably, with the focus locked on target at all times and no errors. Focus transitions were smooth and pleasant but sometimes could be too slow.

Xiaomi 14 Ultra – Low noise, fairly good texture

Apple iPhone 15 Pro Max – Fine luminance noise, good texture

Texture

113

Xiaomi 14 Ultra

118

Oppo Find X6 Pro

Texture tests analyze the level of details and texture of the real-life videos as well as the videos of charts recorded in the lab. Natural videos recordings are visually evaluated, with particular attention paid to the level of details in the bright and areas as well as in the dark. Objective measurements are performed of images of charts taken in various conditions from 1 to 1000 lux. The charts used are the DXOMARK chart (DMC) and Dead Leaves chart.

DXOMARK CHART (DMC) detail preservation video score vs lux levels
This graph shows the evolution of the DMC detail preservation video score with the level of lux in video. DMC detail preservation score is derived from an AI-based metric trained to evaluate texture and details rendering on a selection of crops of our DXOMARK chart.

The level of captured texture was excellent under daylight conditions, but when recording in dimmer conditions detail became slightly soft, and our testers noticed a lack of fine detail.

Noise

118

Xiaomi 14 Ultra

119

Oppo Find X7 Ultra

Noise tests analyze various attributes of noise such as intensity, chromaticity, grain, structure, temporal aspects on real-life video recording as well as videos of charts taken in the lab. Natural videos are visually evaluated, with particular attention paid to the noise in the dark areas and high dynamic range conditions. Objective measurements are performed on the videos of charts recorded in various conditions from 1 to 1000 lux. The chart used is the DXOMARK visual noise chart.

Spatial visual noise evolution with the illuminance level
This graph shows the evolution of spatial visual noise with the level of lux. Spatial visual noise is measured on the visual noise chart in the video noise setup. DXOMARK visual noise measurement is derived from ISO15739 standard.
Temporal visual noise evolution with the illuminance level
This graph shows the evolution of temporal visual noise with the level of lux. Temporal visual noise is measured on the visual noise chart in the video noise setup.

Video noise levels were low across all test conditions, making for pleasant footage, even in low-light recordings. On some occasions, our testers noticed  slight local shadow noise when shooting in low light.

Stabilization

115

Xiaomi 14 Ultra

118

Apple iPhone 15 Pro

Stabilization evaluation tests the ability of the device to stabilize footage thanks to software or hardware technologies such as OIS, EIS, or any others means. The evaluation looks at residual motion, smoothness, jello artifacts and residual motion blur on walk and run use cases in various lighting conditions. The video below is an extract from one of the tested scenes.

The Xiaomi’s video stabilization system was very effective at counteracting camera motion when holding the camera still and when walking while recording. Still, our testers noticed a slight frameshift effect during panning and sharpness differences between frames across all test conditions.

Xiaomi 14 Ultra – Slight camera shake, sharpness differences between frames

Apple iPhone 15 Pro Max – Slight camera shake

Artifacts

75

Xiaomi 14 Ultra

86

Xiaomi 12S Ultra

Artifacts are evaluated with MTF and ringing measurements on the SFR chart in the lab as well as frame-rate measurements using the LED Universal Timer. Natural videos are visually evaluated by paying particular attention to artifacts such as aliasing, quantization, blocking, and hue shift, among others. The more severe and the more frequent the artifact, the higher the point deduction from the score. The main artifacts and corresponding point loss are listed below.

Main video artifacts penalties

In terms of video artifacts, our testers found moiré patterns on fine detail. A judder effect could occur when panning the camera, and flare could make an appearance when recording backlit scenes.

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https://www.dxomark.com/xiaomi-14-ultra-camera-test/feed/ 0 Best CAMERA CAMERA 028_Main_Xiaomi14Ultra BacklitGroup_Xiaomi14Ultra_DxOMark_05-00 BacklitGroup_HuaweiMate60ProPlus_DxOMark_05-00 BacklitGroup_AppleiPhone15ProMax_DxOMark_05-00 FlashOffWellWest_Xiaomi14Ultra_DxOMark_05-00 FlashOffWellWest_HuaweiMate60ProPlus_DxOMark_05-00 FlashOffWellWest_AppleiPhone15ProMax_DxOMark_05-00 FaceToFace_Xiaomi14Ultra_DxOMark_05-00 FaceToFace_HuaweiMate60ProPlus_DxOMark_05-00 FaceToFace_AppleiPhone15ProMax_DxOMark_06-00 CandleDinner_Xiaomi14Ultra_DxOMark_05-00 CandleDinner_HuaweiMate60ProPlus_DxOMark_05-00 CandleDinner_AppleiPhone15ProMax_DxOMark_05-00 CatWalk_Xiaomi14Ultra_DxOMark_05-00 CatWalk_HuaweiMate60ProPlus_DxOMark_05-00 CatWalk_AppleiPhone15ProMax_DxOMark_05-00-bis CafetShrub_Xiaomi14Ultra_DxOMark_05-00 CafetShrub_AppleiPhone15ProMax_DxOMark_05-00 HelloStill_Xiaomi14Ultra_DxOMark_05-00 HelloStillPreview_Xiaomi14Ultra_DxOMark_01-00 Best 029_Zoom-x5_Xiaomi14Ultra 029_Zoom-x5_Pura_70_ultra 029_Zoom-x5_AppleiPhone15ProMax
Oppo Find X7 Ultra Display test https://www.dxomark.com/oppo-find-x7-ultra-display-test/ https://www.dxomark.com/oppo-find-x7-ultra-display-test/#respond Fri, 17 May 2024 15:10:48 +0000 https://www.dxomark.com/?p=172724&preview=true&preview_id=172724 We put the Oppo Find X7 Ultra through our rigorous DXOMARK Display test suite to measure its performance across four criteria. In this test results, we will break down how it fared in a variety of tests and several common use cases. Overview Key display specifications 6.82 inches LTPO AMOLED Dimensions: 164.3 x 76.2 x [...]

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We put the Oppo Find X7 Ultra through our rigorous DXOMARK Display test suite to measure its performance across four criteria. In this test results, we will break down how it fared in a variety of tests and several common use cases.

Overview

Key display specifications

  • 6.82 inches LTPO AMOLED
  • Dimensions: 164.3 x 76.2 x 9.5 mm (6.47 x 3.00 x 0.37 inches)
  • Resolution: 1440 x 3168 pixels, (~510 ppi density)
  • Refresh rate: 120 Hz

Scoring

Sub-scores and attributes included in the calculations of the global score.

Oppo Find X7 Ultra Oppo Find X7 Ultra
144
display
150

164

164

165

120

163

161

164

Eye Comfort Label & Attributes

Eye Comfort
<10%
Flicker perception probability
% of population
1.57
Minimum Brightness
in nits
0.63
Circadian Action Factor
 
99%
Color
Consistency
vs Display-P3 color space

Pros

  • Good color rendering in every lighting condition
  • Well-managed brightness levels in every use case
  • Smooth display in all use cases

Cons

  • Lack of brightness when watching HDR10 videos
  • Lack of contrast when watching HDR10 videos

The Oppo Find X7 Ultra’s display overall score was supported by the device’s strong results in the color and touch attributes, which helped to counter a middling video score.  The device showed good color rendering in every use case tested, and the device’s screen smoothness was evident in all the use cases.

Oppo’s latest flagship made a slight improvement over previous Oppo models, despite the screen’s slightly low brightness. However, screen brightness in sunlight was close in performance to other ultra-premium devices.

The lack of brightness affected the video-watching experience, making it uncomfortable to watch HDR10 content  because dark tones were hard to see. As a result, it will be necessary for most users to adjust  the device luminance manually.

The OPPO Find X7 Ultra is the first device to receive the DXOMARK Eye Comfort Label after having passed all four key criteria: temporal light modulation, brightness level, blue light filtering, and color consistency.

Our measurements showed that the device was essentially free of flicker, with a 10% chance of the user perceiving any brightness abnormalities. Manual adjustment of the display luminance can go as low as 1.5 nits, which is low enough even for the most sensitive eyes under dark room conditions. Our testers particularly appreciated the blue-light filtering performance in the device’s “Bedtime Mode,” which efficiently, and continuously, adapted the blue-light filtering to the time of day. The device’s circadian action factor, which indicates the level of disturbance induced by artificial lighting on human sleep cycle, reached an impressive 0.63, below DXOMARK’s already challenging recommended maximum threshold of 0.65. And when it came to color accuracy, the device was able to maintain almost all of its P3 color gamut with the blue-light filter mode activated.

Test summary

About DXOMARK Display tests: For scoring and analysis, a device undergoes a series of objective and perceptual tests in controlled lab and real-life conditions. The DXOMARK Display score takes into account the overall user experience the screen provides, considering the hardware capacity and the software tuning. In testing, only factory-installed video and photo apps are used.  More in-depth details about how DXOMARK tests displays are available in the article “A closer look at DXOMARK Display testing.”

The following section focuses on the key elements of our exhaustive tests and analyses performed in DXOMARK laboratories. Full reports with detailed performance evaluations are available upon request. To order a copy, please contact us.

Readability

150

Oppo Find X7 Ultra

164

Samsung Galaxy S24 Ultra
How Display Readability score is composed

Readability evaluates the user’s ease and comfort of viewing still content, such as photos or a web page, on the display under different lighting conditions. Our measurements run in the labs are completed by perceptual testing and analysis.

Luminance under various lighting conditions
This graph shows the screen luminance in environments that range from total darkness to outdoor conditions. In our labs, the indoor environment (250 lux to 830 lux) simulates the artificial and natural lighting conditions commonly seen in homes (with medium diffusion); the outdoor environment (from 20,000 lux) replicates a situation with highly diffused light.
Contrast under various lighting conditions
This graph shows the screen’s contrast levels in lighting environments that range from total darkness to outdoor conditions. In our labs, the indoor environment (250 lux to 830 lux) simulates the artificial and natural lighting conditions commonly seen in homes (with medium diffusion); the outdoor environment (from 20,000 lux) replicates a situation with highly diffused light.
Photo EOTF
The Electro-Optical Transfer Function (EOTF) defines how bits are converted into luminance out of the display. Gray levels (horizontal axis) represent the different shades from pure white (100% gray level) to pitch black (0% gray level). The standard for still images follows a 2.2 gamma. The flatter the curves, the harder it is to perceive differences between consecutive shades. This phenomenon is more frequent under intensive lighting conditions (20,000 lux) in the low gray level regions.
Photo EOTF
The Electro-Optical Transfer Function (EOTF) defines how bits are converted into luminance out of the display. Gray levels (horizontal axis) represent the different shades from pure white (100% gray level) to pitch black (0% gray level). The standard for still images follows a 2.2 gamma. The flatter the curves, the harder it is to perceive differences between consecutive shades. This phenomenon is more frequent under intensive lighting conditions (20,000 lux) in the low gray level regions.
Photo EOTF
The Electro-Optical Transfer Function (EOTF) defines how bits are converted into luminance out of the display. Gray levels (horizontal axis) represent the different shades from pure white (100% gray level) to pitch black (0% gray level). The standard for still images follows a 2.2 gamma. The flatter the curves, the harder it is to perceive differences between consecutive shades. This phenomenon is more frequent under intensive lighting conditions (20,000 lux) in the low gray level regions.
Luminance vs Viewing Angle
This graph presents how the luminance drops as viewing angles increase.


Skin-tone rendering in an indoor (1000 lux) environment
From left to right: Oppo Find X7 Ultra, Samsung Galaxy S24 Ultra, Apple iPhone 15 Pro Max
(Photos for illustration only)


Skin-tone rendering in a sunlight (>90 000 lux) environment
From left to right: Oppo Find X7 Ultra, Samsung Galaxy S24 Ultra, Apple iPhone 15 Pro Max
(Photos for illustration only)
Average Reflectance (SCI) Oppo Find X7 Ultra
4.5 %
Low
Good
Bad
High
Oppo Find X7 Ultra
Samsung Galaxy S24 Ultra
Apple iPhone 15 Pro Max
SCI stands for Specular Component Included, which measures both the diffuse reflection and the specular reflection. Reflection from a simple glass sheet is around 4%, while it reaches about 6% for a plastic sheet. Although smartphones’ first surface is made of glass, their total reflection (without coating) is usually around 5% due to multiple reflections created by the complex optical stack.
Average reflectance is computed based on the spectral reflectance in the visible spectrum range (see graph below) and human spectral sensitivity.
Reflectance (SCI)
Wavelength (horizontal axis) defines light color, but also our capacity to see it; for example, UV is a very low wavelength that the human eye cannot see; Infrared is a high wavelength that the human eye also cannot see). White light is composed of all wavelengths between 400 nm and 700 nm, i.e. the range the human eye can see. Measurements above show the reflection of the devices within the visible spectrum range (400 nm to 700 nm).

Uniformity

This graph shows the distribution of luminance throughout the entire display panel. Uniformity is measured with a 20% gray pattern, with bright green indicating ideal luminance. An evenly spread-out bright green color on the screen indicates that the display’s brightness is uniform. Other colors indicate a loss of uniformity.
PWM Frequency Oppo Find X7 Ultra
No flicker
Bad
Good
Bad
Great
Oppo Find X7 Ultra
Samsung Galaxy S24 Ultra
Apple iPhone 15 Pro Max
Displays flicker for 2 main reasons: refresh rate and Pulse Width Modulation. Pulse width modulation is a modulation technique that generates variable-width pulses to represent the amplitude of an analog input signal. This measurement is important for comfort because flickering at low frequencies can be perceived by some individuals, and in the most extreme cases, can induce seizures. Some experiments show that discomfort can appear at a higher frequency. A high PWM frequency (>1500 Hz) tends to be less disturbing for users.
Temporal Light Modulation
This graph represents the frequencies of lighting variation; the highest peak gives the most important modulation. The combination of a low frequency and a high peak is susceptible to inducing eye fatigue.

Color

164

Oppo Find X7 Ultra

165

Google Pixel 8
How Display Color score is composed

Color evaluations are performed in different lighting conditions to see how well the device manages color with the surrounding environment. Devices are tested with sRGB and Display-P3 image patterns. Both faithful mode and default mode are used for our evaluation. Our measurements run in the labs are completed by perceptual testing & analysis.

White point color under D65 illuminant at 830 lux
This graph shows the white point coordinates for the image pattern using the default or the faithful mode. D65 illuminant (6500 Kelvin) is a standard that defines the color of white at midday; it is used for display calibration as a white reference, therefore devices are expected to be at or close to the D65 white point.
Color fidelity
Each arrow represents the color difference between a target color pattern (base of the arrow) and its actual measurement (tip of the arrow). The longer the arrow, the more visible the color difference is. If the arrow stays within the circle, the color difference will be visible only to trained eyes. The tested color mode is the most faithful proposed by each device, and a color correction is applied to account for the different white points of each device.
White color shift with angle
This graph shows the color shift when the screen is at an angle. Each dot represents a measurement at a particular angle. Dots inside the inner circle exhibit no color shift in angle; those between the inner and outer circle have shifts that only trained experts will see; but those falling outside the outer circle are noticeable.
Circadian Action Factor Oppo Find X7 Ultra
0.63
Good
Good
Bad
Bad
Oppo Find X7 Ultra
Samsung Galaxy S24 Ultra
Apple iPhone 15 Pro Max
The circadian action factor is a metric that defines how light impacts the human sleep cycle. It is the ratio of the light energy contributing to sleep disturbances (centered around 450 nm, representing blue light) over the light energy contributing to our perception (covering 400 nm to 700 nm and centered on 550 nm, which is green light). A high circadian action factor means that the ambient light contains strong blue-light energy and is likely to affect the body’s sleep cycle, while a low circadian action factor implies the light has weak blue-light energy and is less likely to affect sleeping patterns.
Spectrum of white emission with Night mode ON
Spectrum measurements of a white web page with BLF mode on and off. This graph shows the impact of blue light filtering on the whole spectrum. All other settings used are default, in particular, the luminance level follows the auto-brightness adaptation from the manufacturer.
The wavelength (horizontal axis) defines light color but also the capacity to see it. For example, UV, which has a very low wavelength, and infra-red, which has a high wavelength, are both not visible to the human eye. White light is composed of all wavelengths between 400 nm and 700 nm, which is the range visible to the human eye.
Spectrum of white emission with Night mode OFF
Spectrum measurements of a white web page with BLF mode on and off. This graph shows the impact of blue light filtering on the whole spectrum. All other settings used are default, in particular, the luminance level follows the auto-brightness adaptation from the manufacturer.
The wavelength (horizontal axis) defines light color but also the capacity to see it. For example, UV, which has a very low wavelength, and infra-red, which has a high wavelength, are both not visible to the human eye. White light is composed of all wavelengths between 400 nm and 700 nm, which is the range visible to the human eye.

Video

120

Oppo Find X7 Ultra

163

Samsung Galaxy S23
How Display Video score is composed

The video attribute evaluates the Standard Dynamic Range (SDR) and High Dynamic Range (HDR10) video handling in indoor and low-light conditions . Our measurements run in the labs are completed by perceptual testing and analysis.

Video peak luminance vs Lighting conditions
This bar chart presents the peak luminance measured for SDR and HDR10 content on a 10% window white pattern.
Video peak luminance vs Lighting conditions
This bar chart presents the peak luminance measured for SDR and HDR10 content on a 10% window white pattern.


Video rendering in a low-light (0 lux) environment
Clockwise from top left: Oppo Find X7 Ultra, Samsung Galaxy S24 Ultra, Apple iPhone 15 Pro Max
(Photos for illustration only)

SDR video EOTF curve
These curves represent the SDR video tone distribution for white color.
The Electro-Optical Transfer Function (EOTF) defines how bits are converted into luminance out of the display. Gray levels (horizontal axis) represent the different shades from pure white (100% gray level) to pitch black (0% gray level). The standard for SDR videos follows a 2.2 gamma. The flatter the curves, the harder it is to perceive differences between consecutive shades. This phenomenon is more frequent under bright lighting conditions (830 lux) in the low gray levels region (< 30%).
SDR video EOTF curve
These curves represent the SDR video tone distribution for white color.
The Electro-Optical Transfer Function (EOTF) defines how bits are converted into luminance out of the display. Gray levels (horizontal axis) represent the different shades from pure white (100% gray level) to pitch black (0% gray level). The standard for SDR videos follows a 2.2 gamma. The flatter the curves, the harder it is to perceive differences between consecutive shades. This phenomenon is more frequent under bright lighting conditions (830 lux) in the low gray levels region (< 30%).
HDR10 video EOTF curve
These curves represent the HDR10 video tone distribution for white color.
The Electro-Optical Transfer Function (EOTF) defines how bits are converted into luminance out of the display. Gray levels (horizontal axis) represent the different shades from pure white (100% gray level) to pitch black (0% gray level). While the PQ (Perceptual Quantizer) standard is reminded here for reference, it cannot be a target for smartphones as it is an absolute standard whereas smartphones adapt their brightness to lighting conditions. The flatter the curves, the harder it is to perceive differences between consecutive shades. This phenomenon is more frequent under bright lighting conditions (830 lux) in the low gray levels region (< 30%).
HDR10 video EOTF curve
These curves represent the HDR10 video tone distribution for white color.
The Electro-Optical Transfer Function (EOTF) defines how bits are converted into luminance out of the display. Gray levels (horizontal axis) represent the different shades from pure white (100% gray level) to pitch black (0% gray level). While the PQ (Perceptual Quantizer) standard is reminded here for reference, it cannot be a target for smartphones as it is an absolute standard whereas smartphones adapt their brightness to lighting conditions. The flatter the curves, the harder it is to perceive differences between consecutive shades. This phenomenon is more frequent under bright lighting conditions (830 lux) in the low gray levels region (< 30%).
Gamut coverage for video content under 0 lux environment
The primary colors are measured both in HDR10 and SDR. The solid color gamut measures the extent of the color area that the device can render in total darkness. The dotted line represents the content’s artistic intent. The measured gamut should match the master color space of each video.
Gamut coverage for video content under 830 lux environment
The primary colors are measured both in HDR10 and SDR. The solid color gamut measures the extent of the color area that the device can render in total darkness. The dotted line represents the content’s artistic intent. The measured gamut should match the master color space of each video.
SDR Video Frame Drops FHD at 30 fps
2.8 %
Few
Good
Bad
Many
Oppo Find X7 Ultra
Samsung Galaxy S24 Ultra
Apple iPhone 15 Pro Max
SDR Video Frame Drops UHD at 30 fps
3.5 %
Few
Good
Bad
Many
Oppo Find X7 Ultra
Samsung Galaxy S24 Ultra
Apple iPhone 15 Pro Max
These gauges present the percentage of frame irregularities in a 30-second video. These irregularities are not necessarily perceived by users (unless they are all located at the same time stamp) but are an indicator of performance.

Touch

161

Oppo Find X7 Ultra

164

Google Pixel 7 Pro
How Display Touch score is composed

We evaluate the touch attributes under many types of contents where touch is key, and requires different behaviors such as gaming (quick touch to response time), web (smooth scrolling of the page) and images (accurate and smooth navigation from one image to another).

Average Touch Response Time Oppo Find X7 Ultra
73 ms
Fast
Good
Bad
Slow
Oppo Find X7 Ultra
Samsung Galaxy S24 Ultra
Apple iPhone 15 Pro Max
Touch To Display response time
This response time test precisely evaluates the time elapsed between a single touch of the robot on the screen and the displayed action. This test is applied to activities that require high reactivity, such as gaming.

The post Oppo Find X7 Ultra Display test appeared first on DXOMARK.

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https://www.dxomark.com/oppo-find-x7-ultra-display-test/feed/ 0 Oppo Find X7 Ultra Eye Comfort DISPLAY DISPLAY indoor_noX6 sunlight_nox6 Luminance_Map_Gray_20_Portrait_Normalized HDR10_noX6
DXOMARK’s Eye Comfort Label: A guide to better screen time https://www.dxomark.com/eye-comfort-label/ https://www.dxomark.com/eye-comfort-label/#respond Fri, 17 May 2024 11:24:58 +0000 https://www.dxomark.com/?p=172706 On April 25th, DXOMARK introduced a new display protocol. Our experts have streamlined the testing process from six to four essential attributes: readability, video, color, and touch. This update also includes some exciting new features: new HDR video quality targets; updated color targets to reflect geographic color mode preferences; expanded test conditions to include use [...]

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On April 25th, DXOMARK introduced a new display protocol. Our experts have streamlined the testing process from six to four essential attributes: readability, video, color, and touch.

This update also includes some exciting new features:

  • new HDR video quality targets;
  • updated color targets to reflect geographic color mode preferences;
  • expanded test conditions to include use cases with brighter lighting.

In response to growing user concerns about the impact of screen time on health, particularly sleep, DXOMARK has been working diligently to provide a solution.

Discover the Eye Comfort Label, a major development from our team. This label is designed to evaluate the key factors that affect our visual experience and comfort, such as blue light filtering and flicker perception.

Let’s take a closer look at the details of this up-to-date label.

Growing awareness of vision health

There is widespread interest in the smartphone industry to address issues related to screen time, up-close reading, and maintaining optimal eye comfort. For example, in France, the average screen time in 2023 was 4 hours and 37 minutes, reaching up to 7 hours for teenagers.1

One major concern is blue light exposure, which has been shown to affect sleep quality, overall well-being, and even athletic performance.2 This is in part because blue light (within a specific wavelength range) inhibits the production of melatonin, the hormone responsible for sleep.

In addition to blue light, other factors like flicker and luminance levels can potentially affect vision and overall well-being.

Screens are not harmless, but in relatively rare and severe cases, they can cause epileptic seizures. Flashing lights or certain visual patterns can trigger seizures in 3% of people with epilepsy,3  a condition known as photosensitive epilepsy.

The issue of eye comfort has gained significant attention in recent years, attracting both media and public interest. According to Meltwater, mentions of the topic in media and social media increased by 26.9% from 2022 to 2023.

China is grappling with a major public health issue related to smartphone addiction, particularly among college students. It also has high rates of cell phone addiction among teenagers and young adults.4

What do people think?
Data from a DXOMARK survey of 1,737 participants on Weibo, WeChat, Instagram, and X (Twitter) in February 2024 revealed that:
83% of the respondents are concerned about the impact of daily smartphone use on their sleep and vision;
43% consider eye comfort when buying a new smartphone;
71% already use eye comfort mode or night mode.

 

Solutions from the smartphone industry

Eye comfort and care have become a selling point in the smartphone industry. For example:

  • Apple’s IOS 17 includes vision health features;
  • Huawei’s eye comfort mode is designed to reduce eye strain by minimizing blue light;
  • Honor promoting eye comfort with its latest flagship;
  • Xiaomi has also recently published a white paper on eye care.

Also, most devices now include a night mode or blue light filter feature.

DXOMARK’s four major criteria

eye comfort picto

The Eye Comfort Label serves as a specific guide for users to enjoy their smartphones without neglecting potential impacts on visual comfort. The DXOMARK label is structured along four aspects that are recognized by scientific communities. To receive this label, devices need to pass four tests by meeting the thresholds set by engineering teams.

  1. Temporal light modulation

Temporal light modulation is a technique used by manufacturers to manage the luminance output of the screens. This modulation creates temporal light artifacts such as flicker and stroboscopic effects, all of which are unwanted visual effects.

The temporal light modulation criterion assesses flicker perception, which is the change in luminance perceived by the human eye, often characterized by quick oscillations of light output between on and off.

The Flicker Perception Metric is a recommended metric for assessing the direct perception of light source flicker.5 The metric quantifies the amplitude and frequency of the modulation and compares it to human detection thresholds. A metric below 1 indicates that less than 50% of people will perceive the flicker. The DXOMARK experts have adopted this value as a basis for evaluation. If the Flicker Perception Metric is <1 (in anti-flicker mode or default mode), the device passes the evaluation.

What is flicker?

Flicker relates to Temporal Light Modulation inferior to 90 Hz and can be perceived depending on frequency and individual’s sensitivity.

The physiological response of flicker includes:

  • dilation and constriction of the iris in response to changes in brightness;
  • an involuntary reaction that can lead to headaches and eye fatigue, especially after prolonged exposure to flickering displays.

The effects of flicker are more noticeable in low-light conditions, such as reading in bed with the lights off. In such settings, the strain on the eyes is increased, contributing to increased discomfort and fatigue.

 

2. Brightness level

Most smartphones have an automatic brightness feature that adjusts to your environment. Also known as auto-brightness or adaptive brightness, this feature is designed to enhance the user’s viewing experience by dynamically adjusting the screen brightness based on the ambient light level.

The purpose of this evaluation criterion is to ensure that the automatic brightness mode prevents screen glare in low-light conditions while still providing sufficient brightness for visibility.

Based on extensive experience, user feedback, and a database of thousands of device tests, our experts have determined that the auto-brightness feature should provide a minimum luminance level of 2 nits to ensure a comfortable experience for the most sensitive users.

3. Blue light filtering

Of all the different types of light, blue light has the most significant effect on melatonin inhibition. This concept is further explored in a scientific paper published in 2015, “Analyses of circadian properties and healthy levels of blue light from smartphones at night.”6

Blue light filtering is an important consideration when evaluating the impact of smartphones on sleep hormones at night. One way to measure this is to use the circadian action factor (CAF).

This ratio evaluates the effect of different types of light on sleep cycles by looking at how they inhibit melatonin, the hormone associated with sleep.

The CAF, as proposed in the paper, is a metric that measures the efficiency of filtering blue light without negatively affecting visual efficiency. It is calculated as the ratio of circadian efficiency to visual efficiency.

At DXOMARK, we use a maximum CAF of 0.65.

An average CAF of 0.65 is comparable to that of a regular white LED light source, which is commonly used.

Sensitivity functions of the human eye

The human eye has specific sensitivity functions that affect both vision and sleep. In the graph below7, the blue line shows the peak of circadian sensitivity, which occurs at a light wavelength around 450 nanometers (which corresponds to blue).On the other hand, the yellow line represents visual sensitivity. It’s worth mentioning that a low circadian factor indicates a minimal impact on sleep.

Circadian Sensitivity

 

4. Color consistency

When looking at the impact of a blue filter mode on color performance, it is important to evaluate how the color display is affected. With a blue filter, the white point of the display becomes slightly more orange, and there is a reduction and shift in the color domain covered.

Example of a device’s color rendering with BLF off
The same device’s color rendering with BLF on

Ensuring consistent color nuances is a challenge, and this is exactly what we test by evaluating color consistency. We use the Display-P3 color gamut, which is widely used by manufacturers.

Typically, most smartphones today cover 100% of the Display-P3 color space without a blue filter mode. We believe that a blue light mode is beneficial as long as it does not degrade the overall user experience. At DXOMARK, we set a threshold of 95% or more coverage of the Display-P3. This minimum coverage of the Display-P3 ensures a certain level of comfort for smartphone users.

After all, what is the point of implementing a blue filter or night mode if consumers don’t use it because it negatively impacts their experience?

Where to find the label

Each tested product has a high-level product review on dxomark.com. Products that pass will display the label on the page.

On each test results page, you will find detailed information about each of the device’s results, including a breakdown of the eye comfort criteria.

PRODUCT REVIEW
TEST RESULTS

“This label is designed for users of all technical abilities. It helps consumers to choose the right device and incorporates key factors from industry and research. Our ratings are open to everyone and are continually updated with new research.”

Thibault Cabana,
Display Quality Evaluation Director at DXOMARK

What’s next in eye comfort?

DXOMARK experts are exploring to establish a metric for evaluating the Phantom Array Effect, a recognized temporal light artifact for which there is currently no standard.

The Phantom Array Effect is the perception of seeing repeated images of the light source when making a rapid eye movement (saccade) across a modulated source. Our teams are working with leading academics such as Professor Emeritus Arnold Wilkins, a renowned authority on vision research, to study and define a precise threshold for this phenomenon.

“Often overlooked, temporal light artifacts play a significant role in visual comfort and warrant thorough evaluation. DXOMARK is pioneering the introduction of innovative metrics to the smartphone industry.”

Arnold Wilkins,
Professor Emeritus at the University of Essex

We are entering a new era in vision care that promises to make screens more comfortable to use and easier on the eyes.

1    1 Source: franceinfo, Screen time in France
2    2 Source: NCBI, The effects of blue light
4    4 Source: ScienceDirect, Smartphone addiction around the world
5    5 Source: Alliance for Solid-State Illumination Systems and Technologies (ASSIST), Flicker Metric
6    6 Source: NCBI
7    7 J. H. Oh, H. Yoo, H. K. Park, and Y. R. Do, “Analysis of circadian properties and healthy levels of blue light from smartphones at night,” Scientific Reports, vol. 5, no. 1. Springer Science and Business Media LLC, Jun. 18, 2015. doi: 10.1038/srep11325.

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