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Samsung Galaxy S23 Ultra
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Samsung Galaxy S23 Ultra Selfie test

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We put the Samsung Galaxy S23 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:

  • 12MP sensor
  • f/1.9 aperture lens
  • Up to 4K / 60fps video
  • 3D depth sensing camera

评分

包含了总分及子分数和属性

Samsung Galaxy S23 Ultra
Samsung Galaxy S23 Ultra (Snapdragon)
141
selfie
139
照片
89

97

104

106

95

105

69

79

74

94

79

91

79

93

75

80

145
视频
81

87

83

90

86

92

76

97

74

83

89

92

74

82

Pros

  • Good exposure and rather wide dynamic range in photo and video
  • Accurate white balance and nice skin tones in bright light and indoors
  • Fast and accurate autofocus
  • Noise levels well under control in most conditions
  • Nice bokeh effect with accurate depth estimation
  • Effective video stabilization

Cons

  • Occasional slight underexposure in difficult low light conditions
  • Lack of detail in low light
  • Lack of contrast in photo mode
  • Ghosting, ringing and hue shift artifacts

The Samsung Galaxy S23 Ultra performed very well in the DXOMARK Selfie tests, coming close to the very best devices in the Ultra-Premium segment. Its front camera has also been slightly improvement over the predecessor S22 Ultra, with differences most noticeable in terms of color in photo as well as noise reduction in both photo and video. This said, our testers found the level of captured detail to be generally lower than on the previous model.

When shooting still images, the camera delivered nice colors and skin tones in most conditions. Dynamic range was pretty wide, capturing good detail in both the highlight and shadow regions of the frame. The autofocus was accurate and quick to lock on, working reliably even in difficult conditions. While not as high as on some direct competitors, the level of captured detail was good, and image noise was kept well under control across all light conditions. On the downside, our testers observed underexposure in some scenes and images often lacked contrast. Unwanted artifacts such as ringing or hue shift near clipped areas could also be found in some sample shots.

Video quality was overall quite similar to the Galaxy S22 Ultra, with a wide dynamic range and generally good exposure, despite the occasional underexposed sequence. Video autofocus was quick and stable and the stabilization system did a good job at keeping camera shake to a minimum. Noise levels were noticeably lower than on the Galaxy S22 Ultra, but on the flip side, video clips showed lower levels of detail, especially when recording in low light.

Samsung Galaxy S23 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.

照片

139

Samsung Galaxy S23 Ultra (Snapdragon)

149

Honor Magic6 Pro
Samsung Galaxy S23 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.
Samsung Galaxy S23 Ultra – Good exposure, nice colors, good detail

曝光

89

Samsung Galaxy S23 Ultra (Snapdragon)

97

Apple iPhone 15 Pro

色彩

104

Samsung Galaxy S23 Ultra (Snapdragon)

106

Google Pixel 8 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.

Samsung Galaxy S23 Ultra – Neutral white balance, accurate color rendering
Apple iPhone 14 Pro – Warmer white balance, slightly reddish skin tones
Huawei Mate 50 Pro – Warmer white balance, slightly orange skin tones

对焦

95

Samsung Galaxy S23 Ultra (Snapdragon)

105

Honor Magic6 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.

Samsung Galaxy S23 Ultra - Depth of field
Samsung Galaxy S23 Ultra - Wide depth of field
Apple iPhone 14 Pro - Depth of field
Apple iPhone 14 Pro - Wide depth of field
Huawei Mate 50 Pro - Depth of field
Huawei Mate 50 Pro - Slightly limited depth of field

纹理

69

Samsung Galaxy S23 Ultra (Snapdragon)

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.

噪点

74

Samsung Galaxy S23 Ultra (Snapdragon)

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.

伪像

79

Samsung Galaxy S23 Ultra (Snapdragon)

91

Apple iPhone 15 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

散景

75

Samsung Galaxy S23 Ultra (Snapdragon)

80

Honor Magic6 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.

Samsung Galaxy S23 Ultra – Accurate depth estimation

视频

145

Samsung Galaxy S23 Ultra (Snapdragon)

156

Apple iPhone 15 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.

Samsung Galaxy S23 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.

曝光

81

Samsung Galaxy S23 Ultra (Snapdragon)

87

Apple iPhone 15 Pro

色彩

83

Samsung Galaxy S23 Ultra (Snapdragon)

90

Apple iPhone 15 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.

Samsung Galaxy S23 Ultra – Balanced exposure, good dynamic range, slight lack of contrast, pleasant colors

Apple iPhone 14 Pro – Balanced exposure, slight highlight clipping, slight desaturation

Huawei Mate 50 Pro – Balanced exposure, good dynamic range, pleasant colors

纹理

76

Samsung Galaxy S23 Ultra (Snapdragon)

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.

噪点

74

Samsung Galaxy S23 Ultra (Snapdragon)

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.

防抖

74

Samsung Galaxy S23 Ultra (Snapdragon)

82

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 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.

Samsung Galaxy S23 Ultra – Some camera shake

Apple iPhone 14 Pro – Some camera shake

Huawei Mate 50 Pro – Some camera shake

伪像

89

Samsung Galaxy S23 Ultra (Snapdragon)

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