Smartphones > Xiaomi 12S Ultra > Selfie Test Results
Xiaomi 12S Ultra
Ultra-Premium ?

Xiaomi 12S Ultra Selfie test

OTHER AVAILABLE TESTS FOR THIS DEVICE

We put the Xiaomi 12S Ultra 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:

  • 32MP sensor
  • f/2.4 aperture lens
  • Video: 1080p/30fps

Scoring

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

Xiaomi 12S Ultra
Xiaomi 12S Ultra
114
selfie
103
photo
74

92

67

105

60

100

69

79

68

94

82

89

56

93

55

80

132
video
73

86

79

90

82

92

67

97

71

83

83

92

72

82

Pros

  • Accurate exposure in bright light and indoors for bot photo and videos
  • Nice color in bright light and indoor video
  • Good detail in the focus plane
  • Low noise levels in photo and video

Cons

  • Occasionally inaccurate skin tones, especially in photo
  • Fairly low contrast in videos
  • Quite narrow depth of field
  • Slightly jerky video stabilization when moving while recording

With a DXOMARK Selfie score of 114, the Xiaomi 12S Ultra offered a capable front camera for daily photo and video selfie capture, but did not make it close to the top of our ranking. It also lagged behind its own predecessor Mi 11 Ultra in terms of photo performance. Both still images and video clips showed good exposure and fairly accurate white balance. Texture levels were high at close shooting range as well, but a narrow depth of field means the Xiaomi is not the best option for group selfies. Our testers also found contrast to be slightly low,  especially in bright outdoor scenes, and color artifacts, such as hue shift, resulting in an unnatural rendering of the sky.

Xiaomi 12S Ultra 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

103

Xiaomi 12S Ultra

147

Huawei Mate 50 Pro
Xiaomi 12S Ultra 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.

When shooting still selfies in Photo mode, the camera produced images with good target exposure and fairly accurate white balance. Contrast was limited though, and as a result faces had a flat look to them and color casts could be noticeable in the background of scenes. Skin tone rendering left some room for improvement too, with inaccuracies in some scenes. Close range detail was pretty close to competitors in the same class, but our testers also noticed some image artifacts, including hue shifts close to clipped image areas.

Xiaomi 12S Ultra – good target exposure and accurate white balance

Exposure

74

Xiaomi 12S Ultra

92

Apple iPhone 14 Pro Max

Color

67

Xiaomi 12S Ultra

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.

Xiaomi 12S Ultra – low contrast
Huawei Mate 50 Pro – good contrast
Apple iPhone 14 Pro – good contrast
Xiaomi 12S Ultra – inaccurate skin tones
Huawei Mate 50 Pro – acceptable skin tones
Apple iPhone 14 Pro – accurate skin tones

Focus

60

Xiaomi 12S Ultra

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.

Xiaomi 12S Ultra - depth of field
Xiaomi 12S Ultra - shallow depth of field, subjects at the back out of focus
Huawei Mate 50 Pro - depth of field
Huawei Mate 50 Pro - all subjects in focus
Apple iPhone 14 Pro - depth of field
Apple iPhone 14 Pro - all subjects in focus

Texture

69

Xiaomi 12S Ultra

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.

Xiaomi 12S Ultra - detail
Xiaomi 12S Ultra - slight loss of detail
Huawei Mate 50 Pro - detail
Huawei Mate 50 Pro - slight loss of detail
Apple iPhone 14 Pro - detail
Apple iPhone 14 Pro - good detail
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.

Noise

68

Xiaomi 12S Ultra

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.

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 Close-up Dead Leaves setup. DXOMARK visual noise measurement is derived from ISO15739 standard.

Artifacts

82

Xiaomi 12S Ultra

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

Video

132

Xiaomi 12S Ultra

154

Apple iPhone 14 Pro Max
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.

Xiaomi 12S 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, smoothness, and stability of exposure, white balance, and autofocus transitions.

Target exposure and white balance were good in the 12S Ultra selfie video samples we shot during testing. The camera also captured a good level of texture in video, but our testers observed a fairly narrow dynamic range that could result in highlight and shadow clipping, especially in bright conditions and low light. The video stabilization system was only capable of counteracting camera motion to a certain degree, and a shallow depth of field meant that backgrounds were mostly out of focus.

Exposure

73

Xiaomi 12S Ultra

86

Apple iPhone 14 Pro Max

Color

79

Xiaomi 12S Ultra

90

Apple iPhone 14 Pro Max

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.

Xiaomi 12S Ultra – slight clipping but good face exposure and white balance

Huawei Mate 50 Pro – good exposure, contrast and white balance

Apple iPhone 14 Pro – good exposure, contrast and white balance

Texture

67

Xiaomi 12S Ultra

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.

Noise

71

Xiaomi 12S Ultra

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.

Stabilization

72

Xiaomi 12S Ultra

82

Apple iPhone 14 Pro Max

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 jellow artifacts, during walk and paning use cases in various lighting conditions. The video below is an extract from one of the tested scenes.

Xiaomi 12S Ultra – noticeable camera shake when walking, loss of background detail

Huawei Mate 50 Pro – slight camera shake when walking, good background detail

Apple iPhone 14 Pro – good stabilization, good background detail

Artifacts

83

Xiaomi 12S Ultra

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

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