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Huawei P50 Pro Selfie test

This device has been retested in the latest version of our protocol. This summary has been fully updated. For detailed information, check the What’s New article
OTHER AVAILABLE TESTS FOR THIS DEVICE

We put the Huawei P50 Pro through our rigorous DXOMARK Selfie test suite to measure its performance in photo and video 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 front camera specifications:

  • 13 MP 1/2.8″ sensor with 1.22µm pixel size
  • 18 mm-equivalent lens with f/2.4 aperture
  • PDAF, EIS
  • 4K video, 2160p/60 fps, (2160p/30 fps tested)

Scoring

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


Huawei P50 Pro
144
selfie
144
photo
90

92

99

105

97

100

75

79

89

94

77

89

90

93

70

80

146
video
79

86

85

90

90

92

74

97

70

83

87

92

81

82

Pros

  • Good face exposure in photos and videos
  • Wide dynamic range in photos
  • Accurate white balance in photos
  • Wide focus range
  • Low noise levels in photos
  • Good detail in indoor and daylight photos
  • Effective video stabilization
  • Good focus for video group shots indoors and in daylight

Cons

  • Loss of fine detail in low-light photos
  • Occasional autofocus failures in photo mode
  • Occasionally inaccurate skin tone rendering in photos
  • Limited dynamic range in low-light videos
  • Noise on faces in indoor and low-light videos

The Huawei P50 Pro beats its stablemate Mate 40 Pro and catapults to the top of the DXOMARK front camera ranking.

Thanks to outstanding performance in pretty much all test areas, the P50 Pro front camera is the best or close to the best for all Photo sub-attributes except artifacts, where its score is slightly lower than some competitors due to color quantization, which appears especially frequently in low light.

For video, the P50 Pro matches performance of the Mate 40 Pro and the Asus Zenfone 7 Pro for the top spot in the category. The P50 Pro is an excellent choice overall for shooting selfie videos, with outstanding results in most areas, including focus and color. However, he texture/noise trade-off is not quite up there with the very best.

Huawei P50 Pro Selfie Scores vs Ultra-Premium
This graph compares overall photo and video DXOMARK Selfie scores between tested devices 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.

Test summary

About DXOMARK Selfie tests: For scoring and analysis, DXOMARK engineers capture and evaluate more than 1,500 test images both in controlled lab environments and in outdoor, indoor and low-light natural scenes, using the front camera’s default settings. The photo protocol is designed to take into account the user’s needs and is based on typical shooting scenarios, such as close-up and group selfies. 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. For more information about the DXOMARK Selfie test protocol, click here. More details on how we score smartphone cameras 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.

Photo

144

Huawei P50 Pro

147

Huawei Mate 50 Pro
Huawei P50 Pro Photo scores vs Ultra-Premium
The photo tests analyze image quality attributes such as exposure, color, texture, and noise in various light conditions. Range of focus 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

90

Huawei P50 Pro

92

Huawei Mate 50 Pro

Color

99

Huawei P50 Pro

105

Google Pixel 7 Pro

Exposure and color are the key attributes for technically good pictures. For exposure, the main attribute evaluated is the brightness of the face(s) in various use cases and light conditions. 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 consecutive images in a row.
For color, the image quality attributes analyzed are skin-tone rendering, white balance, color shading, and repeatability.

This graph shows the Huawei P50 Pro’s exposure performance across different light levels.

Exposure comparison: The P50 Pro manages good exposure even in extremely low light of 1 lux.

These samples show the Huawei P50 Pro’s exposure performance in an outdoor scene.

Huawei P50 Pro, accurate target exposure, wide dynamic range
Huawei Mate 40 Pro, accurate target exposure, slightly less dynamic range
Asus Zenfone 7 Pro, limited dynamic range, highlight clipping

These samples show the Huawei P50 Pro’s color performance in daylight.

Huawei P50 Pro, accurate white balance and color rendering, neutral skin tones, among the very best for color
Huawei Mate 40 Pro, slightly inaccurate color rendering (reds), yellowish skin tones
Asus Zenfone 7 Pro, accurate white balance and color rendering, natural skin tones

Focus

97

Huawei P50 Pro

100

Huawei Mate 50 Pro

Autofocus tests evaluate the accuracy of the focus on the subject’s face, the repeatability of an accurate focus, and the depth of field. While a shallow depth of field can be pleasant for a single-subject selfie or close-up shot, it can be problematic in specific conditions such as group selfies; both situations are tested. Focus accuracy is also evaluated in all the real-life images taken, from 30cm to 150cm, and in low light to outdoor conditions.

These samples show the Huawei P50 Pro’s focus performance in daylight.

Huawei P50 Pro, depth of field
Huawei P50 Pro, crop: very accurate focus, wide depth of field, good detail on background
Huawei Mate 40 Pro, depth of field
Huawei Mate 40 Pro, crop: stable focus (fixed focus), lack of detail on background
Asus Zenfone 7 Pro, depth of field
Asus Zenfone 7 Pro, crop: stable autofocus, narrow depth of field and lack of detail on background

Texture

75

Huawei P50 Pro

79

Asus ZenFone 7 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 facial features, such as the eyes. 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.

Texture acutance evolution with the illuminance level
This graph shows the evolution of texture acutance with the level of lux for two holding conditions. The texture acutance is measured on the Dead Leaves chart in the Close-up Dead Leaves setup.

This graph shows the Huawei P50 Pro’s texture performance in the lab across different light levels.

Texture comparison: Huawei P50 Pro shows a lot of detail in indoor and outdoor conditions but struggles slightly to maintain high levels of detail in low light.

These samples show the Huawei P50 Pro’s texture performance at a light level of 100 lux and a shooting distance of 55 cm.

Huawei P50 Pro, texture, 55 cm
Huawei P50 Pro, crop: good detail on the face
Huawei Mate 40 Pro, texture, 55 cm
Huawei Mate 40 Pro, crop: slightly better detail
Asus Zenfone 7 Pro, 55 cm
Asus Zenfone 7 Pro, crop: better detail than competitors

Noise

89

Huawei P50 Pro

94

Huawei Mate 50 Pro

Noise tests analyze various attributes of noise such as intensity, chromaticity, grain, and 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, but also on dark areas and high dynamic range conditions. 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 DXOMARK Dead Leaves chart and the standardized measurement such as Visual Noise derived from ISO 15739.

This graph shows the Huawei P50 Pro’s noise performance in the lab across different light levels.

Visual noise is a metric that measures noise as perceived by end-users. It takes into account the sensitivity of the human eye to different spatial frequencies under different viewing conditions.

Noise comparison: Despite its fairly small sensor, the Huawei P50 Pro keeps noise levels very low, even in low light.

Artifacts

77

Huawei P50 Pro

89

Google Pixel 7 Pro

The artifacts evaluation looks at lens shading, chromatic aberrations, distortion measurement on the Dot chart and MTF, and ringing measurements on the SFR chart in the lab. Particular attention is paid to ghosting, quantization, halos, and hue shifts on the face among others. 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

This sample shows unnatural texture artifacts in low light.

Huawei P50 Pro, artifacts
Huawei P50 Pro, crop: unnatural texture rendering on skin and facial hair

Bokeh

70

Huawei P50 Pro

80

Apple iPhone 14 Pro

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 DSLR 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.

These samples show the Huawei P50 Pro’s bokeh mode performance in an indoor scene.

Huawei P50 Pro, few depth estimation artifacts but no blur gradient
Huawei Mate 40 Pro, few depth estimation artifacts, blur gradient with slightly abrupt transitions
Asus Zenfone 7 Pro, few depth estimation artifacts, very natural blur gradient

Video

146

Huawei P50 Pro

154

Apple iPhone 14 Pro
About DXOMARK Selfie Video tests

DXOMARK engineers capture and evaluate more than 2 hours of video in controlled lab environments and in natural low-light, indoor and outdoor scenes, using the front 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.

Huawei P50 Pro Video scores vs Ultra-Premium

The Huawei P50 Pro achieves a Selfie Video score of 96. A device’s overall Video score is derived from its performance and results across a range of attributes in the same way as the Photo score. In this section, we take a closer look at these sub-scores and compare video image quality against competitors.

Exposure

79

Huawei P50 Pro

86

Apple iPhone 14 Pro

Color

85

Huawei P50 Pro

90

Apple iPhone 14 Pro

Exposure tests evaluate the brightness of the face 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 skin-tone rendering, white balance, color shading, stability of the white balance and its adaption when light is changing.

These video stills show the Huawei P50 Pro’s video exposure performance in indoor light conditions.

Huawei P50 Pro, video still, good exposure and wide dynamic range even in this challenging backlit scene
Huawei Mate 40 Pro, video still, occasional underexposure in high-contrast scenes

These video stills show the Huawei P50 Pro’s video color in a lab scene.

Huawei P50 Pro, video still, fairly natural skin tones, but red tones can be slightly inaccurate
Huawei Mate 40 Pro, video still, fairly accurate color rendering and skin tones
Asus Zenfone 7 Pro, video still, accurate color rendering and skin tones

Texture

74

Huawei P50 Pro

97

Asus ZenFone 6

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 video recordings are visually evaluated, with particular attention paid to the level of detail on the facial features. Objective measurements are performed of images of charts taken in various conditions from 1 to 1000 lux. The chart used is the Dead Leaves chart.

Texture acutance evolution with the illuminance level
This graph shows the evolution of texture acutance with the level of lux for two holding conditions. The texture acutance is measured on the Dead Leaves chart in the Close-up Dead Leaves setup.

Texture preservation in video is good, but slightly surpassed by the other devices in this comparison.

These video stills show the Huawei P50 Pro’s video texture performance in low light.

Huawei P50 Pro, video texture
Huawei P50 Pro, crop: not as much detail as on Asus Zenfone 7 Pro
Huawei Mate 40 Pro, video texture
Huawei Mate 40 Pro, crop: similar detail to P50 Pro
Asus Zenfone 7 Pro, video texture
Asus Zenfone 7 Pro, better detail

Noise

70

Huawei P50 Pro

83

Xiaomi Mi 11 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 on faces. 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.

These video stills show the Huawei P50 Pro’s video noise performance in indoor light conditions.

Huawei P50 Pro, video noise
Huawei P50 Pro, crop: noise is visible in indoor and low-light conditions
Huawei Mate 40 Pro, video noise
Huawei Mate 40 Pro, crop: very low noise
Asus Zenfone 7 Pro, video noise
Asus Zenfone 7 Pro, crop: well-controlled noise in most conditions

Stabilization

81

Huawei P50 Pro

82

Apple iPhone 14 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 overall residual motion on the face and the background, smoothness and jello artifacts, during walk and panning use cases in various lighting conditions. The video below is an extract from one of the tested scenes.

This sample clip shows the Huawei P50 Pro’s video stabilization in outdoor conditions.

Stabilization on Huawei P50 Pro is very efficient with almost no frame shifts and very little difference in sharpness between frames.

Artifacts

87

Huawei P50 Pro

92

Apple iPhone 12 mini

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 quantization, hue shift, and face-rendering artifacts 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

This graph shows the Huawei P50 Pro’s ringing video output. This curve displays the normalized edge profile of the maximum ringing in the field.

Ringing: the P50 Pro controls ringing noticeably better than the Mate 40 Pro and the Zenfone 7 Pro.

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