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Vivo X80 Pro (Snapdragon) Camera test

OTHER AVAILABLE TESTS FOR THIS DEVICE

We put the Vivo X80 Pro (Snapdragon)  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 sensor, f/1.57-aperture lens
  • Ultra-wide: 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

Scoring

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


Vivo X80 Pro (Snapdragon)
137
camera
139
photo
109

117

107

119

97

116

99

114

107

115

77

81

70
bokeh
70

80

59
preview
59

91

133
zoom
102

116

102

117

133
video
102

115

96

117

97

117

104

115

105

118

81

86

112

117

Use cases & Conditions

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

BEST 165

Outdoor

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

BEST 151

Indoor

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

BEST 122

Lowlight

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

BEST 142

Friends & Family

Portrait and group photo & videos

Pros

  • Wide dynamic range in most scenes
  • Good texture in low-light portraits
  • Pretty good face exposure, even in high contrast night scenes
  • Accurate and stable video exposure
  • Stable video color
  • Fast and accurate video autofocus

Cons

  • Ghosting and halos artifacts in difficult high-contrast scenes
  • Unstable exposure in low light and indoors
  • Occasional loss of detail in bright light and indoor portraits
  • Luminance noise in all light conditions for video
  • Highlight clippings in high-contrast video scenes

 

In our tests, the Vivo X80 Pro delivered a good overall camera performance, securing itself a spot in the upper regions of the DXOMARK Camera ranking. When shooting still images, the device’s main strengths were the good color rendering and accurate face exposure, as well as a good texture/noise trade-off down to low light. The Vivo also did well for zooming, with nice colors on the ultra-wide camera and decent detail when zooming into the distance. Video clips showed stable exposure and color, in addition to a fast and accurate autofocus performance.

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.

Vivo X80 Pro (Snapdragon) Camera Scores vs Ultra-Premium
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

139

Vivo X80 Pro (Snapdragon)

152

Huawei Mate 50 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.

In photo mode, the Vivo produced accurate face exposure when capturing portrait shots in most light conditions, even at night, but our testers also found the exposure to be occasionally unstable on backlit subjects. The camera rendered nice textures in low-light portraits and was capable of capturing nice contrast. On the downside, we saw halo effects and ghosting in high-contrast scenes and an occasional loss of detail in bright light and indoor portrait images.

Vivo X80 Pro (Snapdragon) Photo scores vs Ultra-Premium
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

109

Vivo X80 Pro (Snapdragon)

117

Huawei Mate 50 Pro

Color

107

Vivo X80 Pro (Snapdragon)

119

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 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.

Vivo X80 Pro (Snapdragon) – accurate target exposure, but halo artifact is noticeable
Xiaomi 12S Ultra – accurate target exposure but limited dynamic range and reddish skin tones on model in foreground
Honor Magic 4 Ultimate – accurate target exposure and nice colors
Vivo X80 Pro (Snapdragon) – pleasant exposure and contrast, with warm white balance in low light
Xiaomi 12S Ultra – accurate target exposure with nice colors
Honor Magic 4 Ultimate – accurate target exposure, colder white balance

Autofocus

97

Vivo X80 Pro (Snapdragon)

116

Huawei Mate 50 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: 1000Lux Δ7EV Daylight 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 1000Lux with Daylight 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

99

Vivo X80 Pro (Snapdragon)

114

Oppo Find X5

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

107

Vivo X80 Pro (Snapdragon)

115

Honor Magic4 Ultimate

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

77

Vivo X80 Pro (Snapdragon)

81

Google Pixel 6

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

59

Vivo X80 Pro (Snapdragon)

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.

Vivo X80 Pro (Snapdragon) – Preview – highlight clipping
Vivo X80 Pro (Snapdragon) – Capture – better dynamic range

Zoom

133

Vivo X80 Pro (Snapdragon)

151

Honor Magic4 Ultimate
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.

The Vivo X80 Pro offered a decent performance when zooming in our out from the primary camera. The super-wide camera captured nice colors. When zooming in using the tele camera, images showed good texture and accurate exposure.

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

102

Vivo X80 Pro (Snapdragon)

117

Huawei Mate 50 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.

Vivo X80 Pro (Snapdragon) – good color rendering
Xiaomi 12S Ultra – anamorphosis on the edge of the frame
Honor Magic 4 Ultimate – good color rendering

Tele

102

Vivo X80 Pro (Snapdragon)

116

Honor Magic4 Ultimate

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

133

Vivo X80 Pro (Snapdragon)

149

Apple iPhone 14 Pro Max
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.

In our tests, exposure and color were stable in all conditions in Vivo X80 Pro video clips. In addition, the autofocus performed swiftly and accurately in video mode. However, some luminance noise was visible in all conditions and we observed some highlight clipping in high-contrast scenes.

Vivo X80 Pro (Snapdragon) 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, and smoothness and stability of exposure, white balance, and autofocus transitions.

Exposure

102

Vivo X80 Pro (Snapdragon)

115

Apple iPhone 14 Pro Max

Color

96

Vivo X80 Pro (Snapdragon)

117

Apple iPhone 14 Pro Max

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.

Vivo X80 Pro (Snapdragon) – fast and accurate exposure adaptation

Xiaomi 12S Ultra – bright and vivid colors in most test conditions

Honor Magic 4 Ultimate – accurate colors indoors

Texture

104

Vivo X80 Pro (Snapdragon)

115

Xiaomi Mi 11 Ultra

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

105

Vivo X80 Pro (Snapdragon)

118

Samsung Galaxy A23 5G

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

Vivo X80 Pro (Snapdragon)

117

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 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.

Vivo X80 Pro (Snapdragon) – effective video stabilization in all tested conditions

Xiaomi 12S Ultra – some noticeable camera shake when running

Honor Magic 4 Ultimate – some noticeable camera shake when running

Artifacts

81

Vivo X80 Pro (Snapdragon)

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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