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Vivo X90 Pro+
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Vivo X90 Pro+ Selfie test

OTHER AVAILABLE TESTS FOR THIS DEVICE

We put the Vivo X90 Pro+  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:

  • 32MP 1/2.8″ sensor, 0.8µm pixels
  • f/2.5 aperture lens
  • 1080p video at 30fps/60fps

Scoring

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

Vivo X90 Pro+
Vivo X90 Pro+
125
selfie
121
Photo
74

99

89

110

86

105

65

79

76

94

76

91

74

93

55

80

131
Video
77

87

78

90

84

92

76

97

59

83

79

92

73

82

Pros

  • Good white balance in bright light and indoors in photo and video
  • Nice skin-tone rendering in photo and video
  • Wide dynamic range in photo
  • Good target exposure in photo and video
  • High levels of detail in photo and video

Cons

  • Lack of contrast on faces in high-contrast scenes
  • Flare, color fringing and hue shift artifacts
  • Noise, especially on backgrounds
  • White balance casts and color rendering issues in low light video
  • Focus stabilization is challenged in low-light conditions.
  • Dynamic range in video mode is not so extended for its price segment.

With a DXOMARK Selfie score of 125, the Vivo X90 Pro+ delivered a decent performance in our front camera tests but could not keep up with the very best devices in the Ultra-Premium segment. Overall, the camera provided pleasant image and video rendering, with good exposure, pleasant colors and nice skin tones, across a large array of shooting conditions.  However, the top Selfie devices in its class are capable of producing better contrast in still images and a wider dynamic range in video mode.

Vivo X90 Pro Plus 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.

Photo

121

Vivo X90 Pro+

149

Apple iPhone 16 Pro Max
Vivo X90 Pro Plus 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.

Exposure

74

Vivo X90 Pro+

99

Apple iPhone 16 Pro Max

Color

89

Vivo X90 Pro+

110

Google Pixel 9 Pro XL

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.

Vivo X90 Pro+ – Good exposure, nice color
Apple iPhone 14 Pro – Good exposure, nice color
Huawei Mate 50 Pro – Good exposure, nice color

Focus

86

Vivo X90 Pro+

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.

Vivo X90 Pro+ - Depth of field
Vivo X90 Pro+ - Front subject slightly blurred
Apple iPhone 14 Pro - Depth of field
Apple iPhone 14 Pro - Good sharpness on front subject
Huawei Mate 50 Pro - Depth of field
Huawei Mate 50 Pro - Good sharpness on front subject

Texture

65

Vivo X90 Pro+

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.

Noise

76

Vivo X90 Pro+

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.

Artifacts

76

Vivo X90 Pro+

91

Apple iPhone 16 Pro Max

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

Video

131

Vivo X90 Pro+

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.

Vivo X90 Pro Plus 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.

Exposure

77

Vivo X90 Pro+

87

Apple iPhone 16 Pro Max

Color

78

Vivo X90 Pro+

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.

Vivo X90 Pro+ – Limited dynamic range, good exposure, nice color

Apple iPhone 14 Pro – Fairly wide dynamic range, good exposure, nice color

Huawei Mate 50 Pro – Fairly wide dynamic range, good exposure, nice color

Texture

76

Vivo X90 Pro+

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.

Noise

59

Vivo X90 Pro+

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.

Stabilization

73

Vivo X90 Pro+

82

Apple iPhone 16 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 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.

Vivo X90 Pro+ – Some camera shake

Apple iPhone 14 Pro – Effective video stabilization

Huawei Mate 50 Pro – Effective video stabilization

Artifacts

79

Vivo X90 Pro+

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

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