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Xiaomi 13
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Xiaomi 13 Camera test

OTHER AVAILABLE TESTS FOR THIS DEVICE

We put the Xiaomi 13 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 1/1.49″ sensor, 1.0µm pixels, 23mm equivalent f/1.8- aperture lens, PDAF, OIS
  • Ultra-wide: 12MP 1/3.06″ sensor, 1.12µm pixels, 15mm equivalent f/2.2-aperture lens
  • Tele: 10MP 1/3.75″ sensor, 1.0µm pixels, 75mm equivalent (3.2x)  f/2.0-aperture lens, PDAF, OIS

Scoring

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

Xiaomi 13
Xiaomi 13
130
camera
131
Photo
103

123

108

125

91

123

105

124

97

116

71

82

55
Bokeh
55

80

68
Preview
68

91

131
Zoom
99

118

98

121

121
Video
95

116

97

119

79

119

112

118

100

119

85

86

112

118

Use cases & Conditions

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

BEST 175

Outdoor

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

BEST 160

Indoor

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

BEST 132

Lowlight

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

BEST 149

Friends & Family

Portrait and group photo & videos

Pros

  • Neutral white balance and nice color for photo, even in difficult conditions
  • Good exposure in daylight and indoors for photo and video
  • Good texture and detail in most conditions
  • Good texture-noise tradeoff in most conditions
  • Almost free of unwanted artifacts in video

Cons

  • Limited dynamic range indoors and in low light
  • Some exposure adaptation instabilities indoors and in low light
  • Some video autofocus failures, shallow depth of field
  • Imprecise depth estimation in bokeh mode
  • Artifacts, such as halos and ghosting, in photos, frame shift in panning videos

With a DXOMARK Camera score of 130, the Xiaomi 13 delivered a good performance, thanks to a triple camera configuration that allows for good quality photo and video capture in pretty much all kinds of conditions. While the device wasn’t near the top of our ranking, the Xiaomi 13 camera still performed well within its price segment.

In our testing, the Xiaomi 13’s main strengths in photo mode were its ability to deliver a fairly neutral white balance and nice color across a variety of conditions, including low light. Overall exposure was fairly accurate, but in high-contrast scenes, a lack of dynamic range could result in shadow and/or highlight clipping. The camera also managed to maintain a good tradeoff between image detail and noise reduction, but our testers observed some unwanted artifacts, for example, halo effects and ghosting, especially in scenes where HDR processing kicked in. Autofocus was generally accurate but slow. We also noticed that in group shots the camera did not always focus on the subject closest to the camera.

The Xiaomi 13 did fairly well for both ultra-wide and tele zoom. Zoom images showed good exposure, but compared to the 13 Pro with its more powerful imaging hardware and larger sensors, detail was generally lower and noise levels were higher.

In video mode, our testers found exposure to be accurate and video clips showed good texture rendering in most conditions. In addition, Xiaomi 13 videos were pretty much free of unwanted artifacts. However, we also observed some exposure instabilities, white balance casts, and autofocus instabilities in indoor light conditions and low light. These shortcomings prevented the device from achieving a video score closer to the best in class.

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 13 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

131

Xiaomi 13

160

Huawei Mate 60 Pro+
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.

Xiaomi 13 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

103

Xiaomi 13

123

Apple iPhone 15 Pro

Color

108

Xiaomi 13

125

Apple iPhone 15 Pro Max

Exposure and color are the key attributes for technically good pictures. For exposure, 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.
For color, 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.

Xiaomi 13 – highlight clipping and accurate color rendering
Xiaomi 13 Pro – good exposure and slightly inaccurate color rendering
Vivo X90 Pro+ – good exposure and good color rendering

 

Autofocus

91

Xiaomi 13

123

Huawei Mate 60 Pro+

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 Δ7EV 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 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.

Texture

105

Xiaomi 13

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.

Noise

97

Xiaomi 13

116

Honor Magic5 Pro

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

Xiaomi 13

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

Preview

68

Xiaomi 13

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.

Xiaomi 13 – preview – darker exposure and stronger highlight clipping than capture
Xiaomi 13 – capture

Zoom

131

Xiaomi 13

158

Huawei P60 Pro
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.

Xiaomi 13 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.

Wide

98

Xiaomi 13

121

Huawei Mate 60 Pro+

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.

Xiaomi 13 - ultra-wide - good exposure and color rendering
Xiaomi 13 - slight loss of details
Xiaomi 13 Pro - ultra-wide - slightly underexposed
Xiaomi 13 Pro - high level of detail
Vivo X90 Pro+ – ultra-wide - good exposure and color rendering
Vivo X90 Pro+ – good level of detail

Tele

99

Xiaomi 13

118

Huawei P60 Pro

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.

Video

121

Xiaomi 13

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.

Xiaomi 13 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

95

Xiaomi 13

116

Apple iPhone 15 Pro

Color

97

Xiaomi 13

119

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.
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.

Xiaomi 13 – good exposure but slight exposure instabilities and some color cast variation

Xiaomi 13 Pro – good exposure and color rendering, good transitions

Vivo X90 Pro+ – good exposure transition but slightly inaccurate color rendering on faces

Texture

112

Xiaomi 13

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

100

Xiaomi 13

119

Apple iPhone 15 Pro

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

112

Xiaomi 13

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, jellow 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.

Xiaomi 13 – effective stabilization, slight sharpness differences between frames

Xiaomi 13 Pro – effective stabilization, slight sharpness differences between frames when running

Vivo X90 Pro+ – effective stabilization, slight sharpness differences between frames

Artifacts

85

Xiaomi 13

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

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