We subjected the Vivo X80 Pro (MediaTek) to our rigorous SBMARK Camera test suite to measure its performance in terms of photo, video and zoom quality from an end-user perspective. This article analyzes how the device performed in a variety of tests and several common use cases and aims to highlight the most important results of our tests with an excerpt of the data captured.

Overview

Main camera specs:

  • Main: 50MP sensor, f/1.57 aperture lens
  • Ultra wide angle: 48MP sensor, f/2.2 aperture lens
  • Tele 2x: 12MP sensor, f/1.85 aperture lens
  • Tele 5x: 8MP sensor, f/3.4 aperture lens
  • LED flash
  • Video: 4K/1080p/720p at 60/30fps, 8K at 24fps (4K/30fps tested)

Pros

  • Pleasant white balance for photos and videos
  • Beautiful skin tones in most conditions
  • Fairly good compromise texture/noise in low light conditions
  • Accurate auto focus
  • Pretty good detail in close-up shots
  • High level of detail in medium-range tele shots
  • Effective video stabilization
  • Good detail in the video

Versus

  • Exposure instability in photos and videos
  • Occasionally low contrast on subjects in high contrast scenes
  • Motion blur in low light conditions
  • Occasional ghosting and blending artifacts on moving subjects in challenging conditions
  • Frequent loss of focus when shooting video in low light conditions

Thanks to a good performance in almost all test categories, the Vivo X80 Pro (MediaTek) was able to place itself not too far from the top in our SBMARK camera ranking. Still images showed nice colors, excellent dynamic range, and decent detail. The dual telephoto zoom lenses helped with detail at a medium-range tele setting, and in video tests the camera delivered good detail, pleasing colors, and effective stabilization.

Vivo X80 Pro (Mediatek) Photo Scores vs Ultra-Premium

Photo tests analyze image quality attributes such as exposure, color, texture and noise under various lighting conditions. Autofocus performance and the presence of artifacts are also evaluated on all images acquired under controlled laboratory conditions and on real-life images. All of these attributes have a significant impact on the final quality of the images captured with the tested device and can help you understand the main strengths and weaknesses of the camera.

Trial summary

About SBMARK Camera Tests: SBMARK’s camera evaluations are conducted in labs and in 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 lab setups and perceptual tests where a sophisticated set of metrics allows a panel of image experts to compare aspects of quality of the image that require human judgment. Testing a smartphone involves a team of engineers and technicians for about a week. Photo, zoom, and video quality are rated 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 smartphone camera scores can be found here. The following section compiles the key elements of SBMARK’s exhaustive testing and analysis. Full performance evaluations are available upon request. Please contact us on how to receive a full report.

Vivo X80 Pro (Mediatek) camera scores compared to Ultra-Premium

This graph 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

137

Huawei Mate 50 Pro

Huawei Mate 50 Pro

SBMARK camera photo test information

For scoring and analysis, SBMARK engineers capture and evaluate more than 2,600 test images in both controlled laboratory environments and outdoor, indoor, and low-light natural scenes using camera presets. The photographic protocol is designed to take into account the main use cases and is based on typical shooting scenarios, such as portrait, family and landscape photography. Evaluation is performed by visually inspecting images Cons a natural scene reference and by performing objective measurements on laboratory-acquired graph images under various lighting conditions from 1 to 1,000+ lux and color temperatures from 2,300 K to 6,500 K.

Exposure

108

Huawei Mate 50 Pro

Huawei Mate 50 Pro

In photo mode, the Vivo X80 Pro (MediaTek) produced beautiful colors in all conditions. A very wide dynamic range made it possible to obtain excellent night images and the texture/noise trade-off was good even in low light conditions, thanks to the excellent noise management. However, exposure could be unstable on backlit subjects, and some loss of contrast was visible on subjects in high-contrast scenes.

Vivo X80 Pro (MediaTek) – good highlight retention

Vivo X80 Pro (MediaTek) – strong clipping of background highlights in consecutive shot

Color

108

Google Pixel 7 Pro

Google Pixel 7 Pro

Exposure and color are key attributes for technically good images. For exposure, 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, e.g. the ability to make details visible in light and dark areas of the image. Repeatability is also important because it demonstrates the camera’s ability to provide the same rendering when taking multiple images of the same scene.
For color, the image quality attributes analyzed are skin tone rendering, white balance, color shading, and repeatability. With regards to color rendition and skin tone, we penalize unnatural colors but respect the manufacturer’s choice of color signature.

Vivo X80 Pro (MediaTek) – good exposure and nice colors

Honor Magic4 Ultimate – wide dynamic range, slightly inaccurate skin tones

Xiaomi 12S Ultra – strong clipping

Auto focus

95

Huawei Mate 50 Pro

Huawei Mate 50 Pro

Autofocus Ruggedness and Speed: 1000Lux Δ2EV Daylight Handheld

This graph illustrates focus accuracy and speed, and also zero shutter lag capability by showing edge acuity versus shooting time measured on the AFHDR setup over a series of images. All photos were taken at 1000 Lux with Daylight illuminant, 500 ms after blurring. 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 2, which we denote by an exposure value difference of 2 Edge sharpness is measured on the four edges of the Dead Leaves graph and shooting time is measured on the Universal Timer LED.

Framework

102

Oppo Find X5

Oppo Find X5

Texture tests analyze the level of detail and texture of subjects in images taken in the lab as well as 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.

SBMARK CHART (DMC) Detail Retention Score vs. Lux Levels for Tripod and Handheld Conditions

This graph shows the evolution of the DMC Retention of Detail score with lux level, for two sealing conditions. The DMC Detail Retention Score is derived from an AI-powered metric trained to evaluate texture and detail rendition on a selection of crops from our SBMARK chart.

Noise

101

Honor Magic4 Ultimate

Honor Magic4 Ultimate

Noise tests analyze various noise attributes such as intensity, chromaticity, grain, texture on real-life images and lab-captured graph images. For natural images, special attention is paid to noise on faces and landscapes, as well as dark areas and high dynamic range conditions. Noise on moving objects is also evaluated on natural images. Objective measurements are performed on chart images captured 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.

Evolution of visual noise with illuminance levels in portable conditions

This graph shows the evolution of the visual noise metric with lux level under palmar conditions. The Visual Noise metric is the average of the Visual Noise measurement across all patches of the Dead Leaves graph in the AFHDR configuration. The SBMARK visual noise measurement is derived from the ISO15739 standard.

Vivo X80 Pro (MediaTek) – low light

Vivo X80 Pro (MediaTek) – quite high level of detail, very light noise

Honor Magic4 Ultimate – low light

Honor Magic4 Ultimate – high level of detail, very light noise

Xiaomi 12S Ultra – Low light conditions

Xiaomi 12S Ultra – slight loss of detail, slight noise

Artifacts

74

Google Pixel 6

Google Pixel 6

Artifact assessment examines lens shading, chromatic aberrations, geometric distortion, ringing edges, halos, ghosting, quantization, unexpected color tone shifts, among other types of possible effects unnatural on photos. The more serious and frequent the artifact, the greater the deduction of points from the score. The main artifacts observed and the corresponding loss of points are listed below.

Major penalties for photographic artifacts

Bokeh

70

Huawei Mate 50 Pro

Huawei Mate 50 Pro

Bokeh is tested in a dedicated mode, usually portrait or aperture mode, and analyzed by visually inspecting all images captured in laboratory and natural conditions. The goal is to reproduce a portrait photograph comparable to one taken with a DLSR and a wide aperture. The main image quality attributes paid attention to are depth estimation, artifacts, blur gradient, and bokeh blur reflector shape. Vertical image quality attributes (exposure, color, texture) are also taken into account.

Vivo X80 Pro (MediaTek) – good depth estimation overall, some artifacts around the palette and red threads

Preview

57

Apple iPhone 14 Pro Max

Apple iPhone 14 Pro Max

The preview tests analyze the image quality of the camera app’s image preview, with particular attention to the difference between the capture and the preview, especially regarding the dynamic range and the application of the bokeh effect. The uniformity of exposure, color and focus adaptation when zooming from the minimum to the maximum available zoom factor is also evaluated. The preview frame rate is measured using the Universal Timer LED.

Vivo X80 Pro (MediaTek), preview: stronger highlight clipping than capture

Vivo X80 Pro (MediaTek), capture

Zoom in

136

Honor Magic4 Ultimate

Honor Magic4 Ultimate

About SBMARK Camera Zoom Tests

SBMARK engineers capture and evaluate over 400 test images in controlled laboratory environments and natural outdoor, indoor, and low-light scenes using camera presets and pinch zoom at various zoom factors from ultra wide to very long zoom. Evaluation is performed by visually inspecting images Cons a natural scene reference and by performing objective measurements of lab-captured map images under varying conditions from 20 to 1000 lux and color temperatures from 2300K to 6500K.

The Vivo X80 Pro (MediaTek) did very well in the Zoom category, thanks to its dual tele modules with 2x and 5x tele factors respectively. Textures were well preserved at the mid-range tele zoom. Colors were also accurate in most conditions, and both ultra-wide-angle and telephoto images exhibited a wide dynamic range. On the downside, there was some loss of detail in ultra-wide images.

Vivo X80 Pro (Mediatek) Zoom Scores vs Ultra-Premium

This graph illustrates the relative scores for the different zoom ranges evaluated. The abscissa is expressed in focal length equivalent to 35 mm. Zoomed scores appear on the right and zoomed scores on the left.

Wide

103

Huawei Mate 50 Pro

Huawei Mate 50 Pro

These tests analyze the performance of the ultra wide angle camera at different focal lengths from 12mm to 20mm. All attributes of image quality are evaluated, with particular attention to artifacts such as chromatic aberrations, lens softness and distortion. The images below are an excerpt from the tested scenes.

Vivo X80 Pro – ultra wide (18mm)

Vivo X80 Pro – loss of details

Honor Magic4 Ultimate – ultra wide (18 mm)

Honor Magic4 Ultimate – high level of detail

Xiaomi 12S Ultra – ultra wide (18mm)

Xiaomi 12S Ultra: loss of fine details

tele

105

Honor Magic4 Ultimate

Honor Magic4 Ultimate

All image quality attributes are evaluated at focal lengths from approximately 40mm to 300mm, with an emphasis on texture and detail. The score comes from a series of objective laboratory measurements and perceptual analysis of real-life images.

SBMARK CHART Detail Retention Score (DMC) 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 detail retention metric score: higher value means better quality. Large dots correspond to the zoom ratio available in the camera application UI.

SBMARK CHART Detail Retention Score (DMC) 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 detail retention metric score: higher value means better quality. Large dots correspond to the zoom ratio available in the camera application UI.

SBMARK CHART Detail Retention Score (DMC) 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 detail retention metric score: higher value means better quality. Large dots correspond to the zoom ratio available in the camera application UI.

SBMARK CHART Detail Retention Score (DMC) 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 detail retention metric score: higher value means better quality. Large dots correspond to the zoom ratio available in the camera application UI.

Vivo X80 Pro (Mediatek) – Mid-range zoom

Good rendering of textures, fine details are quite well preserved

Vivo X80 Pro (Snapdragon) – mid-range zoom

Honor Magic 4 Ultimate – Mid-range zoom

Good rendering of textures, fine details are quite well preserved

video

129

Apple iPhone 14 Pro Max

Apple iPhone 14 Pro Max

About SBMARK Camera Video Tests

SBMARK engineers capture and evaluate more than 2.5 hours of video in controlled lab environments and low natural light scenes, indoors and out, using the camera’s default settings. Evaluation consists of visually inspecting natural video taken under various conditions and performing objective measurements on lab-recorded graph video under various conditions from 1 to 1000+ lux and color temperatures from 2,300K to 6,500K.

Video clips captured with the Vivo X80 Pro (MediaTek) offered pleasant colors and nice details in all conditions. Also, video stabilization was effective, despite some stabilization when walking or running. Some differences in sharpness between frames were visible and reduced the level of detail when the user was moving during the recording. In low light, our testers also noted focus instability and breathing, as well as moving texture artifacts and the occasional abrupt exposure adjustment.

Vivo X80 Pro (Mediatek) Video Scores vs Ultra-Premium

Video tests analyze the same image quality attributes as still images, such as exposure, color, texture or noise, as well as temporal aspects such as speed, exposure uniformity and stability, white balance and autofocus transitions.

Exposure

88

Apple iPhone 14 Pro Max

Apple iPhone 14 Pro Max

Color

108

Apple iPhone 14 Pro Max

Apple iPhone 14 Pro Max

Exposure tests evaluate the brightness of the main subject and the dynamic range, e.g. the ability to make details visible in light and dark areas of the image. The stability and temporal adaptation of the exposure are also analysed.
Image quality color analysis examines color rendition, skin tone rendition, white balance, color shading, white balance stability and its adaptation when the light changes.

Vivo X80 Pro (MediaTek) – good colors, some steps in exposure transitions and focus swings

Honor Magic4 Ultimate – nice colors

Framework

110

Xiaomi Mi 11 Ultra

Xiaomi Mi 11 Ultra

Texture tests analyze the level of detail and texture of real-life videos as well as graphics 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 of card images taken under various conditions from 1 to 1000 lux are performed. The charts used are the SBMARK (DMC) chart and the Dead Leaves chart.

SBMARK CHART (DMC) video score for detail retention versus lux levels

This graph shows the evolution of the video DMC detail retention score with the level of lux in the video. The DMC Detail Retention Score is derived from an AI-powered metric trained to evaluate texture and detail rendition on a selection of crops from our SBMARK chart.

Noise

111

Samsung Galaxy A23 5G

Samsung Galaxy A23 5G

Noise tests analyze various noise attributes such as intensity, chromaticity, grain, texture, temporal aspects on real-life video recording, as well as graph videos taken in the lab. Natural videos are evaluated visually, with an emphasis on noise in dark areas and high dynamic range conditions. Objective measurements are performed on graph videos recorded under various conditions from 1 to 1000 lux. The graph used is the SBMARK visual noise graph.

Evolution of spatial visual noise with level of illumination

This graph shows the evolution of spatial visual noise with lux level. Spatial visual noise is measured on the visual noise table in the video noise setup. The SBMARK visual noise measurement is derived from the ISO15739 standard.

Time evolution of visual noise with level of illumination

This graph shows the evolution of visual noise over time with lux level. Temporal visual noise is measured on the visual noise table in the video noise setup.

Stabilization

112

Apple iPhone 14 Pro Max

Apple iPhone 14 Pro Max

The stabilization rating tests the device’s ability to stabilize footage using software or hardware technologies such as OIS, EIS, or any other means. The evaluation looks at 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.

Vivo X80 Pro (MediaTek) – good stabilization

Honor Magic4 Ultimate – good stabilization

Artifacts

81

Xiaomi 12S Ultra

Xiaomi 12S Ultra

Artifacts are evaluated with MTF and ringing measurements on the SFR graph in the lab, as well as frame rate measurements using the Universal Timer LED. Natural videos are visually evaluated by paying close attention to artifacts such as aliasing, quantization, blocking, and pitch shifting, among others. The more severe and frequent the artifact, the more points will be deducted from the score. The main artifacts and the corresponding point loss are listed below.

Top penalties for video artifacts

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Philip Owell

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