The iPhone 13 Pro is the second model from the top of Apple’s 2021 smartphone range. The main difference to the top-of-the-line iPhone 13 Pro Max is the smaller 6.1-inch Super Retina XDR display (versus the Max’s 6.7-inch display). Both models are powered by Apple’s latest A15 Bionic chipset and come with up to 1TB of internal storage. They also share the same camera which has been improved in several areas over last year’s iPhone 12 Pro and Pro Max models.
The main camera module features a larger sensor and faster aperture than the 2020 models. It also uses the sensor shift OIS, which was exclusive to the Pro Max device last year. The ultra wide-angle camera is equipped with a sensor the same size as last year, but achieved a faster aperture and PDAF autofocus than the fixed focus lens of the iPhone 12 series. Sensor size remains unchanged in the telephoto module but Apple has increased the focal length and the tele now offers 3x optical magnification compared to the main cam.
Read on to find out how the iPhone 13 Pro’s camera fared in our SBMARK camera tests.
Overview
Key Camera Specifications:
- Primary: 12MP sensor, 1.9µm pixels, 26mm equivalent f / 1.5 aperture lens, OIS with sensor shift, Dual Pixel AF
- Ultra Wide: 12MP sensor, 13mm equivalent f / 1.8 aperture lens, PDAF, 2cm macro
- Telephoto: 12MP sensor, 77mm equivalent f / 2.8 aperture lens, OIS
- 3D sensor
- 4K at 24/25/30/60 fps, 1080p at 25/30/60 fps, HDR video recording with Dolby Vision
- Cinematic mode for recording videos with shallow depth of field (1080p at 30 fps)
Pros
- Accurate and repeatable target exposure
- Nice color and white balance
- Beautiful skin tones in most lighting conditions, even in complex backlit scenes
- Fast, accurate and repeatable autofocus
- Good detail in internal and external conditions
- Precise and stable target exposure with a fairly wide dynamic range in the video
- Well managed texture / noise compromise in the video
- Accurate white balance indoors and outdoors, smooth transitions in scene changes
- Good autofocus tracking and smooth refocus
versus
- Luminance noise on primary, ultra-wide and tele, especially in low light conditions
- Limited dynamic range in demanding high-contrast scenes
- Artifacts including glow, subtle ringing, and color quantization
- Limited detail in long-range zoom shots
- The occasional pink white balance is reflected in some conditions and some white balance variations in videos
- Lens flare and ghosting, especially in low-light videos
- Some loss of texture in the video, especially on faces in daylight and indoor conditions
- Differences in sharpness between video frames and strong residual motion in recorded video while playing
Test summary
About SBMARK Camera Tests: SBMARK camera assessments take place in labs and real-world situations using a wide variety of subjects. Scores are based on objective tests for which results are calculated directly by the measurement software on our laboratory settings and on perceptual tests in which a sophisticated set of metrics allows a group of image experts to compare aspects of quality image that require human judgment. Testing a smartphone involves a team of engineers and technicians for about a week. The quality of photo, zoom and video is evaluated separately and then combined into an overall score for comparing cameras from different devices. For more information on the SBMARK Camera protocol, click here. More details on the smartphone camera scores can be found here. The following section collects the key elements of SBMARK’s comprehensive testing and analysis. Comprehensive performance evaluations are available upon request. Contact us to find out how to receive a full report.
The Apple iPhone 13 Pro is among the best devices in our camera ranking. As with all iPhones, the color rendition is vivid with beautiful skin tones and a slightly warm touch, and the camera is generally very reliable, consistently producing high-quality images in all shooting situations. Overall photo performance is quite similar to the 12 Pro we tested last year, but improvements have been made in several areas.
Color and contrast have been improved on backlit portraits and images show higher levels of detail, especially when shooting in typical indoor conditions. It appears that Apple’s camera engineers have managed to use the new sensor’s larger pixel pitch to improve detail retention but, as on the 12 Pro, luminance noise is still visible in most shooting situations.
The camera’s Zoom score isn’t quite up to the best, but performance has still been improved over the 12 Pro, thanks to the 3x longer optical zoom than the previous model’s 2x.
The outstanding Video score puts the iPhone 13 Pro at the top of this sub-ranking, thanks to several improvements in key areas. The tone mapping instabilities that were very visible on the iPhone 12 series model have been resolved and the exposure is now generally very stable. Autofocus performance has also been improved, thanks to better tracking and very smooth refocusing at just the right moments. Our testers also found no unwanted focus breaths.
Overall it’s fair to say that Apple has managed to get the most out of its imaging hardware as most of the devices positioned higher in our ranking are equipped with increasingly higher resolution sensors in their primary cameras.
Apple iPhone 13 Pro camera scores compared to Ultra-Premium
This chart compares the SBMARK photo, zoom and video scores between the tested device and the references. The average and maximum scores of the price segment are also indicated. The average and maximum scores for each price segment are calculated based on the SBMARK database of tested devices.
Photo
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About SBMARK Camera Photo Tests
For scoring and analysis, SBMARK engineers capture and evaluate more than 2,600 test images in both controlled laboratory environments and natural outdoor, indoor and low-light scenes, using the camera’s default settings. The photographic protocol is designed to take into account the main use cases and is based on typical shooting scenarios, such as portraits, family photographs and landscapes. Evaluation is done by visually inspecting images Cons a natural scene reference and making objective measurements on graphical images captured in the lab under various lighting conditions from 1 to 1,000+ lux and color temperatures from 2,300K to 6,500K.
Apple iPhone 13 Pro Photo vs Ultra-Premium scores
Photo tests analyze image quality attributes such as exposure, color, texture, and noise under various lighting conditions. Autofocus performance and the presence of artifacts on all images acquired under controlled laboratory conditions and in real-life images are also evaluated. All of these attributes have a significant impact on the final quality of the images captured with the tested device and can help in understanding the main strengths and weaknesses of the camera.
In this section, we take a closer look at each secondary attribute and compare image quality to the competition. Note that the iPhone 13 Pro camera comes with a number of photo styles and users are prompted for their preferred option when they launch the camera app for the first time. You can choose from predefined photo styles or customize your own, using the Tone and Warmth sliders. These settings change both color and exposure. We skipped this option for our tests and used the default settings as usual.
The Apple iPhone 13 Pro uses its ultra wide-angle camera when it switches to macro mode, allowing it to capture images at very short distances. The resulting magnification is close to 1: 1 with a rather interesting level of detail in the center of the frame.
Apple iPhone 13 Pro – Nice foreground detail in the center of the image, some loss of sharpness at the corners.
Exposure
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Exposure is one of the key attributes for technically good images. The main attribute evaluated is the brightness of the main subject across various use cases such as landscape, portrait or still life. Other factors evaluated are contrast and dynamic range, eg. the ability to make details visible in both light and dark areas of the image. Repeatability is also important because it demonstrates the camera’s ability to deliver the same rendering when shooting multiple images of the same scene.
The Apple iPhone 13 Pro produces accurate and repeatable target exposure under most conditions tested. However, dynamic range is often limited, resulting in highlight clipping in high-contrast scenes. It is also worth mentioning that in the gallery the app lights in the photos are brightened almost “aggressively”, which can contribute to the cropping impression. On a standard screen the effect is less pronounced.
These samples show the exposure performance of the Apple iPhone 13 Pro in a backlit scene.
Apple iPhone 13 Pro, accurate face exposure and contrast but highlight clipping
Apple iPhone 12 Pro Max, slightly too low contrast on the face, highlight clipping
Xiaomi Mi 11 Ultra, good exposure on the face but slightly worse contrast, wide dynamic range
Color
115
Samsung Galaxy S22 Ultra (Snapdragon)
Samsung Galaxy S22 Ultra (Snapdragon)
Color is one of the key attributes for technically good images. The image quality attributes analyzed are skin tone rendering, white balance, color shading and repeatability. For the rendering of color and skin tone, we penalize unnatural colors but respect the manufacturer’s choice of the chromatic signature.
The color rendition and white balance of the Apple are generally pleasing and the camera captures very nice skin tones. Especially in high-contrast scenes, the skin tones of the iPhone 13 Pro are better than those of the competition. The camera appears to use adaptive color rendition that adapts to captured skin tones and lighting conditions.
These samples show the color performance of the Apple iPhone 13 Pro in a backlit scene.
Apple iPhone 13 Pro, beautiful skin tones
Apple iPhone 12 Pro Max, slightly less vivid skin tones
Huawei P50 Pro, cool cast, less vivid skin tones
In night images, the iPhone 13 Pro captures good details on faces when the flash is activated. However, the dynamic range is limited, which leads to highlighting of underexposed clipping and backgrounds. These samples show the nighttime performance of the Apple iPhone 13 Pro in flash-off mode.
Apple iPhone 13 Pro, flash-off: limited dynamic range
Xiaomi Mi 11 Ultra, flash-off: wider dynamic range
Autofocus
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Apple iPhone 12 Pro Max
Apple iPhone 12 Pro Max
Autofocus tests focus on focus accuracy, focus repeatability, shutter lag and depth of field. The shutter lag is the difference between the time the user presses the capture button and the time the image is actually taken. It includes focus speed and the ability of the device to capture images at the right moment, what is called “zero shutter lag” capability. While shallow depth of field can be nice for a single-subject portrait or close-up, 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 real-life images taken, from infinity to close-up objects and in low light to outdoor conditions.
The autofocus of the Apple iPhone 13 Pro is fast, accurate and repeatable in most conditions. Depth of field is slightly limited, due to the larger sensor compared to the iPhone 12 series. Unlike Xiaomi on the Mi 11 Ultra, Apple does not apply any image processing to increase the sharpness of the subjects in the background.
This graph shows the Apple iPhone 13 Pro’s autofocus performance in the laboratory at a light level of 100 lux. Autofocus is fast and accurate with negative shutter lag, even in high dynamic range conditions (EV 7).
Autofocus irregularity and speed: 100Lux Δ7EV TL84 handheld
This graph illustrates focus accuracy and speed as well as zero shutter lag capability, showing edge sharpness versus shutter speed measured on the AFHDR setting over a series of images. All photos were taken at 100 Lux with TL84 illuminant, 500ms after blur. In this scenario, the backlit panels in the scene are set to simulate a fairly high dynamic range: the luminance ratio between the brightest spot and an 18% reflective gray spot is 7, which we denote with an exposure value difference of 7 edge sharpness is measured on the four edges of the Dead Leaves graph and shutter speed is measured on the Universal Timer LED.
These samples show the depth of field of the Apple iPhone 13 Pro.
Apple iPhone 13 Pro, shallow depth of field
Apple iPhone 13 Pro, crop: limited depth of field, subject in the back out of focus
Apple iPhone 12 Pro Max, shallow depth of field
Apple iPhone 12 Pro Max, crop: both faces in focus
Xiaomi Mi 11 Ultra, depth of field
Xiaomi Mi 11 Ultra, crop: both faces in focus
Structure
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Oppo Find X5
Oppo Find X5
Texture tests analyze the level of detail and texture of subjects in images taken in the laboratory as well as in real-life scenarios. For natural shots, special attention is paid to the level of detail in the light and dark areas of the image. Objective measurements are performed on map images taken under various lighting conditions from 1 to 1000 lux and different types of dynamic range conditions. The charts used are the proprietary SBMARK (DMC) chart and the Dead Leaves chart.
The details of the iPhone 13 Pro are slightly higher than its predecessor, the iPhone 12 Pro, but still slightly below the best-in-class, such as the Xiaomi Mi 11 Ultra. These samples show the texture performance of the Apple iPhone 13 Pro in daylight conditions.
Apple iPhone 13 Pro, external structure
Apple iPhone 13 Pro, crop: good detail
Huawei P50 Pro, outdoor texture
Huawei P50 Pro, crop: good detail
Xiaomi Mi 11 Ultra, outdoor texture
Xiaomi Mi 11 Ultra, crop: good detail
This graph shows the texture performance of the Apple iPhone 13 Pro in the laboratory under different light levels
SBMARK CHART (DMC) detail retention score versus lux levels for tripod and handheld conditions
This graph shows the evolution of the DMC detail retention score with the lux level, for two retention conditions. The DMC detail retention score is derived from an AI-based metric trained to evaluate texture and detail rendering on a selection of crops from our SBMARK chart.
Noise
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Noise tests analyze various attributes of noise such as intensity, chromaticity, grain, texture on real-life images and graphical images taken in the laboratory. For natural images, special attention is paid to 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 graphical images taken under various conditions from 1 to 1000 lux and different types of dynamic range conditions. The graph used is the Dead Leaves graph and standardized measurement such as visual noise derived from ISO 15739.
Luminance noise is visible in most conditions, especially in low light, and is louder than some competitors. However, we’re mostly dealing with very fine-grained luminance noise here, which is far less intrusive than larger noise “blobs” and can even give an impression of better detail.
This graph shows the noise performance of the Apple iPhone 13 Pro in the laboratory with light levels.
Evolution of visual noise with lighting levels in handheld condition
This graph shows the evolution of the visual noise metric with the lux level under portable conditions. The visual noise metric is the average of the visual noise measurement across all Dead Leaves chart patches in the AFHDR setting. SBMARK visual noise measurement is derived from the ISO15739 standard.
These samples show the noise performance of the Apple iPhone 13 Pro in indoor conditions.
Apple iPhone 13 Pro, internal noise
Apple iPhone 13 Pro, crop: noise, especially in the shade
Apple iPhone 12 Pro Max, internal noise
Apple iPhone 12 Pro Max, crop: noise, especially in the shade
Huawei P50 Pro, internal noise
Huawei P50 Pro, crop: very low noise
Manufactured goods
71
Google Pixel 6
Google Pixel 6
Artifact evaluation examines lens shading, chromatic aberrations, geometric distortion, edge ring, halos, ghosting, quantization, unexpected variations in color tone, among other types of possible unnatural effects on photos. The more severe and frequent the artifact, the greater the point deduction from the score. The main artifacts observed and the corresponding point loss are listed below.
Main penalties for photographic artifacts
The reflection of the image is often visible in all conditions. The same goes for ringtone, aliasing, ghosting, and color quantization. However, compared to the iPhone 12 Pro Max the latter has been reduced.
Bokeh
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Bokeh is tested in a dedicated mode, usually in portrait or aperture mode, and analyzed by visually inspecting all images captured in the lab and under natural conditions. The goal is to reproduce portrait photography comparable to that taken with a DLSR and a wide aperture. The main image quality attributes to look out for are depth estimation, artifacts, blur gradient, and bokeh blur spotlight shape. The attributes of the portrait image quality (exposure, color, texture) are also taken into account.
The iPhone 13 Pro’s camera produces a nice bokeh effect, but slight artifacts can be seen in the depth estimate. Since the blur effect is strong enough, even small errors are quite visible. Color rendering is more pleasing than on the iPhone 12 Pro Max. These samples show the bokeh simulation of the Apple iPhone 13 Pro in daylight.
Apple iPhone 13 Pro, bokeh mode
Apple iPhone 13 Pro, crop: nice blur but slight depth estimation artifacts around the head
Apple iPhone 12 Pro Max, bokeh mode
Apple iPhone 12 Pro Max, crop: slightly less intense blur, less vivid colors
Huawei P50 Pro, bokeh mode
Huawei P50 Pro, crop: good depth estimate, nice blur
Preview
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The preview tests analyze the image quality of the camera app image preview, with particular attention to the difference between capture and preview, especially with regards to dynamic range and application of the bokeh effect. The smoothness of exposure, color and focus adaptation are also evaluated when zooming from the minimum to the maximum available zoom factor. The preview frame rate is measured using the Universal Timer LED.
As with previous iPhones, the preview rendering is mostly very close to the final captured image. In this example, the iPhone 13 Pro retains highlight details noticeably better than the Huawei P50 Pro.
Apple iPhone 13 Pro, preview
Apple iPhone 13 Pro, capture: capture and preview are very similar
Huawei P50 Pro, capture: highlights the crop in preview but not in capture
Enlarge
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Learn about SBMARK camera zoom tests
SBMARK engineers capture and evaluate over 400 test images in controlled laboratory environments and outdoor, indoor and natural scenes in low light conditions, using the camera’s default settings and zooming in at various zoom factors, from ultra wide angle at ultra-long range zoom. Evaluation is done by visually inspecting images Cons a natural scene reference and making objective measurements of graphs captured in the lab under different conditions from 20 to 1000 lux and color temperatures from 2300K to 6500K.
Apple iPhone 13 Pro Zoom vs Ultra-Premium scores
This graph illustrates the relative scores for the different zoom ranges evaluated. The x axis is expressed in a focal length equivalent to 35 mm. The zoom-in scores are displayed on the right and the zoom-out scores on the left.
Wide
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These tests analyze the performance of the ultra-wide-angle camera at different focal lengths from 12mm to 20mm. All image quality attributes are evaluated, with particular attention to artifacts such as chromatic aberrations, lens softness and distortion. The images below are an excerpt of tested scenes.
This example shows the performance of the Apple iPhone 13 Pro’s ultra wide-angle camera in outdoor conditions.
Apple iPhone 13 Pro, ultrawide: limited dynamic range
Huawei P50 Pro, ultrawide: good exposure
Xiaomi Mi 11 Ultra, ultra-wide: precise exposure but slight distortion
Tele
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All image quality attributes are evaluated at focal lengths from about 40mm to 300mm, with a focus on texture and detail. The score is derived from a series of objective measurements in the laboratory and from the perceptual analysis of real-life images.
Compared to its predecessor, the iPhone 13 Pro’s tele zoom has been improved at medium range settings, but with its relatively short optical telephoto it still shows limitations at long range. As with the ultra-wide, it’s worth mentioning that night mode is now available on telephoto, but this isn’t currently tested according to our protocol.
These samples show the performance of the Apple iPhone 13 Pro at a long-range telephoto setting.
Apple iPhone 13 Pro, long range tele
Apple iPhone 13 Pro, crop: loss of fine details
Huawei P50 Pro, long range tele
Huawei P50 Pro, crop: good detail on the faces
Xiaomi Mi 11 Ultra, long range tele
Xiaomi Mi 11 Ultra, crop: good detail on the faces
SBMARK CHART (DMC) detail retention score by focal length
This graph shows the evolution of the DMC detail retention score versus the full frame equivalent focal length for different lighting conditions. The x-axis represents the equivalent focal length measured for each corresponding shooting distance and the y-axis represents the maximum details score of the retention metric – a higher value means better quality. The large dots correspond to the zoom ratio available in the camera application user interface.
SBMARK CHART (DMC) detail retention score by focal length
This graph shows the evolution of the DMC detail retention score versus the full frame equivalent focal length for different lighting conditions. The x-axis represents the equivalent focal length measured for each corresponding shooting distance and the y-axis represents the maximum details score of the retention metric – a higher value means better quality. The large dots correspond to the zoom ratio available in the camera application user interface.
SBMARK CHART (DMC) detail retention score by focal length
This graph shows the evolution of the DMC detail retention score versus the full frame equivalent focal length for different lighting conditions. The x-axis represents the equivalent focal length measured for each corresponding shooting distance and the y-axis represents the maximum details score of the retention metric – a higher value means better quality. The large dots correspond to the zoom ratio available in the camera application user interface.
SBMARK CHART (DMC) detail retention score by focal length
This graph shows the evolution of the DMC detail retention score versus the full frame equivalent focal length for different lighting conditions. The x-axis represents the equivalent focal length measured for each corresponding shooting distance and the y-axis represents the maximum details score of the retention metric – a higher value means better quality. The large dots correspond to the zoom ratio available in the camera application user interface.
About SBMARK Camera Video Tests
SBMARK engineers capture and evaluate over 2.5 hours of video in controlled laboratory environments and natural low-light scenes, indoor and outdoor, using the camera’s default settings. The assessment consists of visually inspecting natural videos taken under various conditions and carrying out objective measurements on graphical videos recorded in the laboratory under different conditions from 1 to 1000+ lux and color temperatures from 2,300 K to 6,500 K.
NOTE: The sample video clips in this section are best viewed in 4K resolution.
Exposure tests evaluate the brightness of the main subject and the dynamic range, eg. the ability to make details visible in both light and dark areas of the image. The stability and temporal adaptation of exposure are also analyzed.
Apple iPhone 13 Pro, stable exposure, wide dynamic range
Apple iPhone 12 Pro Max, slight instability, limited dynamic range
Huawei P50 Pro, low face exposure, limited dynamic range
Image Quality Color Analysis examines color rendition, skin tone rendition, white balance, color shading, white balance stability and adaptation when the light changes.
White balance is accurate in bright light and indoors, with smooth adaptations as the scene changes. Light pink at the bottom and slight instability may be evident. These sample clips show the Apple iPhone 13 Pro video color in an outdoor scene.
Apple iPhone 13 Pro, beautiful color rendering
Apple iPhone 12 Pro Max, beautiful color rendering
Huawei P50 Pro, low face exposure, beautiful color rendering
The iPhone 13 Pro’s video autofocus has good tracking abilities and smoothly refocuses when the scene changes. This can also be seen in Apple’s new Cinematic mode, which automatically switches focus between foreground and background subjects, based on scene content. However, this new mode is not covered by our current testing protocol.
These sample clips show the video autofocus performance of the Apple iPhone 13 Pro in daylight.
Apple iPhone 13 Pro, good tracking
Apple iPhone 12 Pro Max, good tracking
Huawei P50 Pro, good tracking, slight focus delay in the background after the model is out of range
Structure
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Xiaomi Mi 11 Ultra
Xiaomi Mi 11 Ultra
Consistency tests analyze the level of detail and texture of real-life videos, as well as graph videos recorded in the lab. Natural video recordings are evaluated visually, with particular attention to the level of detail in bright areas and dark areas. Objective measurements are performed on images of graphs taken under various conditions from 1 to 1000 lux. The charts used are the SBMARK (DMC) chart and the Dead Leaves chart.
The iPhone 13 Pro handles the tradeoff between texture and noise in videos well, but texture rendering artifacts can be visible, especially on faces when recording in bright light or indoors. These sample clips show the texture performance of the Apple iPhone 13 Pro in low light conditions.
Apple iPhone 13 Pro, loss of fine details
Apple iPhone 12 Pro Max, loss of fine details
Huawei P50 Pro, good detail
This graph shows the retention of the details of the Apple iPhone 13 Pro in video in different lighting conditions. These sample clips show the noise performance of the Apple iPhone 13 Pro in low light conditions.
SBMARK CHART (DMC) detail retention video score versus lux levels
This graph shows the evolution of the DMC detail retention video score with the lux level in the video. The DMC detail retention score is derived from an AI-based metric trained to evaluate texture and detail rendering on a selection of crops from our SBMARK chart.
Noise tests analyze various noise attributes such as intensity, chromaticity, grain, texture, temporal aspects on real-life video recordings and graph videos taken in the laboratory. Natural videos are evaluated visually, with a focus on noise in dark areas and high dynamic range conditions. Objective measurements are performed on card videos recorded under various conditions from 1 to 1000 lux. The graph used is the SBMARK visual noise graph.
Apple iPhone 13 Pro, very light noise
Apple iPhone 12 Pro Max, noise
Huawei P50 Pro, slight noise
This graph shows the Apple iPhone 13 Pro’s noise performance in the lab.
Spatial evolution of visual noise with the level of illuminance
This graph shows the evolution of spatial visual noise with the level of lux. Spatial visual noise is measured on the visual noise graph in the video noise setting. SBMARK visual noise measurement is derived from the ISO15739 standard.
Time evolution of visual noise with the level of illuminance
This graph shows the evolution of temporal visual noise with the level of lux. Visual temporal noise is measured on the visual noise graph in the video noise setting.
Manufactured goods
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Xiaomi 12S Ultra
Xiaomi 12S Ultra
Artifacts are evaluated with MTF and ring measurements on the SFR graph in the lab, as well as frame rate measurements using the Universal Timer LED. Natural videos are visually evaluated with special attention paid to artifacts such as aliasing, quantization, locking and toning, among others. The more severe and frequent the artifact, the greater the point deduction from the score. The main artifacts and the corresponding point loss are listed below.
Main penalties for video artifacts
This video shows a glow effect in low light conditions.
Stabilization
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Viva X70 Pro +
Viva X70 Pro +
The stabilization assessment verifies the device’s ability to stabilize footage using software or hardware technologies such as OIS, EIS, or any other means. The assessment examines residual motion, smoothness, yellow artifacts, and residual motion blur in walking and running use cases under various lighting conditions. The video below is an excerpt from one of the tested scenes.
The difference in sharpness between frames is sometimes visible and strong residual motion is visible during the running motion. These sample clips show the stabilization performance of the Apple iPhone 13 Pro in daylight.
Apple iPhone 13 Pro, strong residual movement when running
Huawei P50 Pro, slight residual movement when running
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