The vivo X300 Ultra camera performance is evaluated across photo, zoom, and video use cases using DXOMARK’s Camera test suite, which combines objective measurements with perceptual analyses to assess imaging performance across a wide range of real-world shooting conditions.
This article provides a structured overview of the device’s imaging performance based on DXOMARK’s laboratory testing and perceptual evaluations. It highlights some of the most significant results from our testing, supported by selected data extracts and representative image samples captured during the evaluation process.
Overview
Key camera specifications:
- Primary: 200 MP, f/1.9, 35mm (wide), 1/1.12″, 0.7µm, PDAF, gimbal OIS
- Ultra-wide: 50 MP, f/2.0, 14mm, 116° (ultrawide), 1/1.28″, 1.22µm, dual pixel PDAF, OIS
- Tele: 200 MP, f/2.7, 85mm (telephoto), 1/1.4″, 0.56µm, PDAF, OIS, 3.7x optical zoom
The vivo X300 Ultra delivers a very high level of performance for both portrait and landscape photography. On Portrait photography, the device produces pleasant images with natural skin tones and sharp details in bright conditions. Its 35mm lens contributes significantly to a strong photographic rendering, giving most images a natural and immersive look. Portrait mode (Bokeh) on the vivo X300 Ultra is among the best we have evaluated on a smartphone so far, even though the simulated blur effect is slightly less pronounced than on its sibling, the vivo X300 Pro when using the default settings.
The smartphone delivers balanced photo rendering with bright exposure, vivid colors and wide dynamic range. However, compared with the current top performer in the Photo category, the device still demonstrates some limitations when rendering group portraits, with face rendering consistency varying across subjects positioned at different depths in the scene.
The vivo X300 Ultra also provides top-tier telephoto performance, combining efficient stabilization with a high level of detail preservation. In addition, the device significantly improves over its sibling, the vivo X300 Pro when using the ultra-wide camera module, thanks to notable hardware and image processing upgrades.
On the video side, the performance is slightly less impressive than on the vivo X300 Pro, particularly in challenging low-light conditions, where the device demonstrates limitations in dynamic range management and noise reduction.
Scoring
Sub-scores and attributes included in the calculations of the global score.
Vivo X300 Ultra
170
camera
175
Huawei Pura 80 Ultra
Best: Huawei Pura 80 Ultra (184)
180
Vivo X300 Pro
175
Vivo X300 Ultra
172
Vivo X300 Ultra
168
Apple iPhone 17 Pro
Best: Apple iPhone 17 Pro (186)
147
Motorola Signature
Best: Motorola Signature (151)
139
Vivo X200 Ultra
Best: Vivo X200 Ultra (140)
Use cases & Conditions
Use case scores indicate the product performance in specific situations. They are not included in the overall score calculations.
Portrait
Portrait photos of either one person or a group of people
Outdoor
Photos & videos shot in bright light conditions (≥1000 lux)
Indoor
Photos & videos shot in good lighting conditions (≥100lux)
Lowlight
Photos & videos shot in low lighting conditions (<100 lux)
Top score
Top score
%s
Zoom
Photos and videos captured using zoom (more than 1x)
Pros
- Excellent portrait photography performance: natural skin tones, a rendering that naturally highlights the subject, and one of the best portrait modes currently available on the market
- Outstanding zoom capabilities: a top-tier telephoto system delivering exceptional detail preservation even at long range, outperforming most competitors
- High-quality rendering in bright conditions: sharp images, low noise levels, and pleasant overall rendering for both landscapes and portraits
- Excellent detail preservation combined with natural and pleasant overall rendering from the ultra-wide camera module
Cons
- Inconsistent behavior in challenging conditions: exposure, color, and sharpness can fluctuate, particularly in low-light environments and video capture scenarios.
- Limitations in low light: increased noise levels, visible artifacts such as ghosting as well as AI-driven unnatural textures impact image quality in difficult scenes
- Occasional overprocessing artifacts: AI-driven image enhancement may sometimes produce unnatural renderings, particularly on faces and fine textures in challenging conditions such as lowlight or strong backlit scenes
In low-light conditions, the device delivers very satisfying image quality and generally achieves a more pleasant rendering than its predecessor, the vivo x200 Ultra. However, some inconsistencies remain. While AI processing can enhance face detail, it may also introduce unnatural texture rendering. Noise noise becomes more noticeable, particularly in flat areas of the image.
In video mode, low-light scenes further expose the device’s limitations with strong noise levels (especially during motion), slower autofocus behavior and a reduced dynamic range. As a result, video performance in challenging lighting conditions remains below that of the vivo x300 Pro.
vivo X300 Ultra – Pleasant skin tones and well exposed portrait under challenging conditions
vivo X200 Ultra – Slight under saturated colors on Portrait
The device delivers excellent performance in portrait use cases, producing natural skin tones, pleasing contrast, and a distinctive photographic rendering supported by its ~35 mm focal length. Portrait mode is particularly impressive, with accurate and natural subject segmentation combined with attractive depth rendering.
In more challenging situations, such as long-distance portraits or low-light scenes, AI processing can occasionally introduce visible artifacts or slightly unnatural skin textures. In addition, the relatively narrow depth of field may limit sharpness consistency in group portraits.
vivo X300 Ultra – Vivid colors, natural skin tones and face details well preserved
Xiaomi 17 Ultra – Some clippings visible in the brightest areas of the face and clothing
Top score
Top score
On the vivo X300 Ultra, telephoto performance is outstanding, delivering very high levels of detail across all zoom ranges and particularly excelling at long and very long distances, where the device outperforms most competitors. Video telephoto performance is also excellent, maintaining strong sharpness and zoom consistency. In challenging conditions such as low-light, however, artifacts and increased noise can become more visible, and AI reconstruction may occasionally produce slightly unnatural facial textures.
vivo X300 Ultra – Excellent rendering with telephoto camera
Test summary
About DXOMARK Camera tests: DXOMARK’s camera evaluations take place in laboratories and real-world situations using a wide variety of use-cases. The scores rely on objective tests for which the results are calculated directly using measurement software in our laboratory setups, and on perceptual tests where 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 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 X300 Ultra Camera Scores
This graph compares DXOMARK photo 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
174
Huawei Pura 80 Ultra
Huawei Pura 80 Ultra
About DXOMARK Camera Photo tests
For scoring and analysis, DXOMARK engineers capture and evaluate more than 3,800 test images in controlled lab environments as well as 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, landscape and zoom 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 0.1 to 10,000+ lux and color temperatures from 2,300K to 6,500K.
Photo performance is overall very strong, delivering pleasant rendering, natural skin tones, accurate exposure, and a high level of detail in bright conditions, making the device particularly well-suited for portrait and landscape photography. However, some instabilities and inconsistencies remain, including occasional autofocus limitations and noticeable degradation in challenging conditions in low-light conditions where noise, artifacts, and unnatural texture can appear.
Main
175
Huawei Pura 80 Ultra
Huawei Pura 80 Ultra
Vivo X300 Ultra Photo scores
The photo Main 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 at 1x.
Exposure
133
Huawei Pura 80 Ultra
Huawei Pura 80 Ultra
Exposure is one of the key attributes for technically good pictures. The main attribute evaluated is the brightness level of the main subject through various use cases such as landscape, portrait, or still life. Other factors evaluated are the global contrast and the ability to render the dynamic range of the scene (ability to render visible details in both bright and dark areas). When the camera provides Photo HDR format, the images are analyzed with a visualization on an HDR reference monitor, under reference conditions specified in the ISO-22028-5 standard. Repeatability is also important because it demonstrates the camera’s ability to provide the same rendering when shooting several images of the same scene.
Brightness on face with illuminance levels (Diana)
Brightness on face with illuminance levels (Diana)
These graphs represent the output level on the face measured on the images captured by the device under test in multiple lighting conditions on the AFHDR Portrait setup. We show here the intensity measured on the forehead of the realistic mannequin, for a picture displayed on a HDR monitor in standard ISO/TS 22028-5 playback conditions. The multiple lighting conditions of the scene are characterized by the illumination level in lux and the relative brightness of the backlit panel simulating high dynamic range conditions. Delta EV specifies the difference of luminance in stops between the face and the light panel simulating HDR conditions. The intensity is measured in JND derived from the ICtCp color space.
Brightness on face with illuminance levels (Diana)
These graphs represent the output level on the face measured on the images captured by the device under test in multiple lighting conditions on the AFHDR Portrait setup. We show here the intensity measured on the forehead of the realistic mannequin, for a picture displayed on a HDR monitor in standard ISO/TS 22028-5 playback conditions. The multiple lighting conditions of the scene are characterized by the illumination level in lux and the relative brightness of the backlit panel simulating high dynamic range conditions. Delta EV specifies the difference of luminance in stops between the face and the light panel simulating HDR conditions. The intensity is measured in JND derived from the ICtCp color space.
Brightness on face with illuminance levels (Diana)
These graphs represent the output level on the face measured on the images captured by the device under test in multiple lighting conditions on the AFHDR Portrait setup. We show here the intensity measured on the forehead of the realistic mannequin, for a picture displayed on a HDR monitor in standard ISO/TS 22028-5 playback conditions. The multiple lighting conditions of the scene are characterized by the illumination level in lux and the relative brightness of the backlit panel simulating high dynamic range conditions. Delta EV specifies the difference of luminance in stops between the face and the light panel simulating HDR conditions. The intensity is measured in JND derived from the ICtCp color space.
Brightness on face with illuminance levels (Eugene)
These graphs represent the output level on the face measured on the images captured by the device under test in multiple lighting conditions on the AFHDR Portrait setup. We show here the intensity measured on the forehead of the realistic mannequin, for a picture displayed on a HDR monitor in standard ISO/TS 22028-5 playback conditions. The multiple lighting conditions of the scene are characterized by the illumination level in lux and the relative brightness of the backlit panel simulating high dynamic range conditions. Delta EV specifies the difference of luminance in stops between the face and the light panel simulating HDR conditions. The intensity is measured in JND derived from the ICtCp color space.
Brightness on face with illuminance levels (Eugene)
These graphs represent the output level on the face measured on the images captured by the device under test in multiple lighting conditions on the AFHDR Portrait setup. We show here the intensity measured on the forehead of the realistic mannequin, for a picture displayed on a HDR monitor in standard ISO/TS 22028-5 playback conditions. The multiple lighting conditions of the scene are characterized by the illumination level in lux and the relative brightness of the backlit panel simulating high dynamic range conditions. Delta EV specifies the difference of luminance in stops between the face and the light panel simulating HDR conditions. The intensity is measured in JND derived from the ICtCp color space.
Brightness on face with illuminance levels (Eugene)
These graphs represent the output level on the face measured on the images captured by the device under test in multiple lighting conditions on the AFHDR Portrait setup. We show here the intensity measured on the forehead of the realistic mannequin, for a picture displayed on a HDR monitor in standard ISO/TS 22028-5 playback conditions. The multiple lighting conditions of the scene are characterized by the illumination level in lux and the relative brightness of the backlit panel simulating high dynamic range conditions. Delta EV specifies the difference of luminance in stops between the face and the light panel simulating HDR conditions. The intensity is measured in JND derived from the ICtCp color space.
Brightness on face with illuminance levels (Eugene)
These graphs represent the output level on the face measured on the images captured by the device under test in multiple lighting conditions on the AFHDR Portrait setup. We show here the intensity measured on the forehead of the realistic mannequin, for a picture displayed on a HDR monitor in standard ISO/TS 22028-5 playback conditions. The multiple lighting conditions of the scene are characterized by the illumination level in lux and the relative brightness of the backlit panel simulating high dynamic range conditions. Delta EV specifies the difference of luminance in stops between the face and the light panel simulating HDR conditions. The intensity is measured in JND derived from the ICtCp color space.
How does the vivo X300 Ultra perform in terms of Photo Exposure?
- Accurate target exposure on both portrait and landscape scenes
- Slightly elevated target exposure can occasionally appear on deeper skin tones
- Wide dynamic range overall, combined with soft and pleasant contrast on portraits
- Reduced background contrast in high dynamic range scenes
- Slight exposure instabilities visible across consecutive shots
Vivo X300 Ultra – Bright portrait with well-balanced contrast
Vivo X200 Ultra – Bright portrait with slightly low global contrast
Xiaomi 17 Ultra – Slight dark portrait with well- balanced contrast
Color
131
Huawei Pura 80 Ultra
Huawei Pura 80 Ultra
Color is one of the key attributes for technically good pictures. 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 according to results gathered in various studies and consumer insights while respecting the manufacturer’s choice of color signature.
How does the vivo x300 Ultra perform in terms of Photo Color?
- Pleasant skin tone rendering across most lighting conditions
- Neutral and generally accurate white balance in bright conditions
- Slight rendering instabilities visible across consecutive shots
Vivo X200 Ultra – Inaccurate color rendering and cold white balance cast
Xiaomi 17 Ultra – Low saturated color with slight cold cast
Sharpness & Timing
114
Huawei Pura 80 Ultra
Huawei Pura 80 Ultra
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.
How does the vivo X300 Ultra perform in terms of Photo Autofocus?
- Relatively narrow depth of field can limit sharpness consistency in group portraits
- Stable and generally reliable autofocus performance in most shooting conditions
- Occasional slow focus convergence during repetitive refocusing scenarios, which can lead to out-of-focus captures
Sharpness and Timing: irregularity and speed: 1000Lux Δ0EV Daylight Handheld
Sharpness and Timing: irregularity and speed: 100Lux Δ4EV TL84 Handheld
This graph illustrates focus accuracy and speed as well as 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 in one light condition and indicated illuminant, 500ms after the defocus. 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.
vivo x300 Ultra – Group portrait showing a blurred background subject, with applied detail enhancement on facial areas
Sharp facial rendering, but with a slightly unnatural appearance
vivo X200 Ultra- Inconsistent facial detail rendering in group portrait scenes
Noticeable loss of facial detail on subjects positioned in the background
Huawei Pura 80 Ultra – Consistent sharpness on face in group portrait
High level of details on background face
Texture
126
Vivo X200 Ultra
Vivo X200 Ultra
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 0.1 to 10,000+ lux and different kinds of dynamic range conditions. The charts used are the proprietary DXOMARK chart (DMC), and the Dead Leaves chart. We also have an AI based metric for the level of details on our realistic mannequins Eugene and Diana.
How does the vivo X300 Ultra perform in terms of Photo Texture?
- Very good detail preservation in bright lighting conditions, with sharp textures and fine details maintained across most scenes
- In low-light conditions, AI-driven face enhancement can occasionally introduce slightly artificial texture rendering and less natural facial details
DXOMARK CHART (DMC) detail preservation score vs lux levels for 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.
vivo X300 Ultra – Fine details well preserved on the face
Xiaomi 17 Ultra – Details well preserved on the face
Apple iPhone 17 Pro Max – Details well preserved on the face
Noise
128
Oppo Find X8 Ultra
Oppo Find X8 Ultra
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 0.1 to 10000 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.
How does the vivo X300 Ultra perform in terms of Photo noise?
- In bright lighting conditions, image noise is virtually imperceptible, resulting in clean and detailed photos
- In low-light conditions, a slight amount of chromatic noise may be visible, particularly in flat or uniform areas such as skies or walls, but it remains well controlled overall
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.
vivo X300 Ultra – Very well controlled noise
Xiaomi 17 Ultra – Very well controlled noise
Apple iPhone 17 Pro Max – Slight luminance noise
The artifacts evaluation looks at flare, 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.
How does the vivo X300 Ultra perform in terms of Photo Artifact?
- Colored flare can occasionally appear, sometimes accompanied by a slight loss of contrast in the affected areas
- Face rendering artifacts may be noticeable in long-distance portrait shots or in cases where AI processing/enhancement does not perform optimally
Main photo artifacts penalties
Bokeh is tested in one dedicated mode, usually portrait or aperture mode, and analyzed by visually inspecting all the images captured in the lab and in natural conditions. The goal is to reproduce portrait photography 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 the shape of the bokeh blur spotlights. Portrait image quality attributes (exposure, color, texture) are also taken into account.
How does the vivo X300 Ultra perform in terms of Photo Bokeh?
- Very good performance with natural subject separation and pleasing background spotlight effects
- Compared to the vivo x300 Pro, blur intensity is slightly reduced, resulting in marginally less pronounced subject isolation
vivo X300 Ultra – Well exposed image and bright color
Fine details and precise segmentation
Xiaomi 17 Ultra – Well-exposed portrait but under saturated colors
Fine details on face with precise segmentation
Apple iPhone 17 Pro Max – Well exposed image with bright colors
Some details lost on face and slight segmentation issues
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.
Vivo X300 Ultra Telephoto Scores
This graph illustrates the relative scores for the different zoom ranges evaluated. The abscissa is expressed in 35mm equivalent focal length.
How does the vivo X300 Ultra perform in terms of Photo Telephoto?
- Telephoto performance is outstanding, delivering highly detailed images across all zoom ranges, with particularly strong results at long and very long distances where it outperforms many competitors
- Despite using a similar camera module and tuning approach, image rendering remains consistent and well controlled
- AI-reconstructed textures are generally natural, although facial rendering can occasionally appear slightly unnatural due to elevated micro-contrast in fine skin details
DXOMARK CHART (DMC) detail preservation score per focal length
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.
Natural details in bright environments
well-preserved details with sharpening
Fine details and micro-contrast enhancement
vivo X300 Ultra – Well-exposed portrait and pleasant colors
Fine details on face with some unnatural texture reconstruction and visible smoothing of the skin texture
Xiaomi 17 Ultra – Lower but natural face exposure on the face
Good detail preservation with natural rendering
vivo x200 Ultra – Well exposed portrait
Some fine details lost on the face
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.
How does the vivo X300 Ultra perform in terms of Photo Ultrawide?
- The ultrawide camera delivers strong performance, producing highly detailed images with minimal noise
- Detail preservation is significantly improved compared to previous generations, thanks to the new camera module and updated image processing
Vivo X300 Ultra Ultra-Wide Scores
This graph illustrates the relative scores for the different zoom ranges evaluated. The abscissa is expressed in 35mm equivalent focal length.
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
162
Apple iPhone 17 Pro
Apple iPhone 17 Pro
About DXOMARK Camera Video tests
DXOMARK engineers capture and evaluate almost 3 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 0.1 to 10000+ lux and color temperatures from 2,300K to 6,500K.
Main
168
Apple iPhone 17 Pro
Apple iPhone 17 Pro
Vivo X300 Ultra Video scores
The video score presented here refers to performance using the 35mm module, which is not the default mode (14mm), but delivers the best overall video quality, especially in low-light conditions where the default mode can exhibit strong ghosting artifacts. vivo explicitly recommends using the 35mm mode in dim lighting. Overall, video performance is solid but does not reach the level of the Pro version. The combination of different hardware, chipset, and tuning provides generally good exposure control, pleasant color rendering, and satisfactory detail in most situations. However, performance becomes less consistent in more challenging scenarios, with limitations in dynamic range, increased noise in low light (particularly with motion), and noticeable temporal instabilities such as exposure and white balance fluctuations, as well as occasional ghosting.
Vivo X300 Ultra – Visible Noise and limited dynamic range
Vivo X300 Pro – Slight Noise and extended dynamic range
Apple iPhone 17 Pro Max – Well controlled noise and extended dynamic range
Exposure
126
Vivo X300 Pro
Vivo X300 Pro
Exposure tests evaluate the brightness level of the main subject, the global contrast and the ability to render the dynamic range of the scene (ability to render visible details in both bright and dark areas). When the camera provides Video HDR format, the videos are analyzed with a visualization on an HDR reference monitor, under reference conditions specified in the metadata. Stability and temporal adaption of the exposure are also analyzed.
How does the vivo X300 Ultra perform in terms of Video Exposure?
- Exposure is generally accurate across most lighting conditions
- In some low-light or backlit scenes, facial exposure may appear slightly underexposed
- Dynamic range is limited, especially when compared to the vivo X300 Pro
- Auto-exposure is sensitive to small lighting changes in indoor and low-light environments, which can lead to abrupt adjustments and occasional exposure overshoots
Brightness on face with illuminance levels (Diana)
These graphs represent the output level on the face measured on the images captured by the device under test in multiple lighting conditions on the AFHDR Portrait setup. We show here the intensity measured on the forehead of the realistic mannequin, for a picture displayed on a HDR monitor in standard ISO/TS 22028-5 playback conditions. The multiple lighting conditions of the scene are characterized by the illumination level in lux and the relative brightness of the backlit panel simulating high dynamic range conditions. Delta EV specifies the difference of luminance in stops between the face and the light panel simulating HDR conditions. The intensity is measured in JND derived from the ICtCp color space.
Brightness on face with illuminance levels (Diana)
These graphs represent the output level on the face measured on the images captured by the device under test in multiple lighting conditions on the AFHDR Portrait setup. We show here the intensity measured on the forehead of the realistic mannequin, for a picture displayed on a HDR monitor in standard ISO/TS 22028-5 playback conditions. The multiple lighting conditions of the scene are characterized by the illumination level in lux and the relative brightness of the backlit panel simulating high dynamic range conditions. Delta EV specifies the difference of luminance in stops between the face and the light panel simulating HDR conditions. The intensity is measured in JND derived from the ICtCp color space.
Brightness on face with illuminance levels (Diana)
These graphs represent the output level on the face measured on the images captured by the device under test in multiple lighting conditions on the AFHDR Portrait setup. We show here the intensity measured on the forehead of the realistic mannequin, for a picture displayed on a HDR monitor in standard ISO/TS 22028-5 playback conditions. The multiple lighting conditions of the scene are characterized by the illumination level in lux and the relative brightness of the backlit panel simulating high dynamic range conditions. Delta EV specifies the difference of luminance in stops between the face and the light panel simulating HDR conditions. The intensity is measured in JND derived from the ICtCp color space.
Brightness on face with illuminance levels (Diana)
These graphs represent the output level on the face measured on the images captured by the device under test in multiple lighting conditions on the AFHDR Portrait setup. We show here the intensity measured on the forehead of the realistic mannequin, for a picture displayed on a HDR monitor in standard ISO/TS 22028-5 playback conditions. The multiple lighting conditions of the scene are characterized by the illumination level in lux and the relative brightness of the backlit panel simulating high dynamic range conditions. Delta EV specifies the difference of luminance in stops between the face and the light panel simulating HDR conditions. The intensity is measured in JND derived from the ICtCp color space.
Vivo X300 Ultra – Pleasant and stable exposure, slight limited dynamic range
Vivo X200 Ultra – Pleasant and stable exposure
Apple iPhone 17 Pro Max – Pleasant exposure and extended dynamic range
Color
124
Apple iPhone 17 Pro
Apple iPhone 17 Pro
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.
How does vivo X300 Ultra perform in terms of Video Color?
- White balance is generally pleasant, with natural rendering in outdoor scenes and good preservation of warm ambiance in low-light conditions
- Skin tones can sometimes appear slightly pale, particularly in outdoor bright light and nighttime scenes
- Auto white balance is sensitive to small lighting changes in indoor and low-light environments, which can lead to visible shifts and occasional overshooting during adaptation
Vivo X300 Ultra – Neutral white balance, slightly low saturated colors
Vivo X200 Ultra- Neutral white balance, slightly low saturated colors
Apple iPhone 17 Pro Max – Warmer white balance and vivid colors
Sharpness & Timing
116
Google Pixel 9 Pro XL
Google Pixel 9 Pro XL
For video, autofocus tests concentrate on focus accuracy, focus stability and analysis of convergence regarding speed and smoothness.
How does the vivo X300 Ultra perform in terms of Video Autofocus?
- Autofocus is generally accurate and stable across most shooting conditions. However, in very low-light environments, focus can occasionally degrade, leading to noticeable softness and a loss of fine detail
- AF response is slightly slower than expected for a flagship device, with reduced speed in refocusing and subject tracking
- In low-light conditions, focus convergence can also be delayed, resulting in a less immediate lock-on to the subject
Texture
107
Huawei Pura 80 Ultra
Huawei Pura 80 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 0.1 to 10000 lux. The charts used are the DXOMARK chart (DMC) and Dead Leaves chart.
How does the vivo X300 Ultra perform in terms of Video Texture?
- In natural scenes, texture rendering is generally good, delivering a satisfying level of detail that is on par with competitors such as the iPhone 17 Pro across most conditions
- Low-light texture reproduction is improved compared to the vivo X200 Ultra, with better detail retention and overall clarity in challenging lighting environments
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
106
Apple iPhone 17 Pro
Apple iPhone 17 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 0.1 to 10000 lux. The chart used is the DXOMARK visual noise chart.
How does the vivo X300 Ultra perform in terms of Video Noise?
- Noise is well controlled in bright lighting conditions, resulting in clean and stable video footage
- In indoor and low-light environments, noise becomes visible in darker areas and can be quite pronounced in very low-light scenes
- Motion, whether from the subject or camera movement, further amplifies noise in indoor and low-light conditions, making it more noticeable and unstable
- Overall, noise levels are higher than on the vivo X200 Ultra and also more visible compared to the vivo X300 Pro
Spatial visual noise evolution with the illuminance level
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
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Apple iPhone 17 Pro
Apple iPhone 17 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, jello 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.
How does the vivo X300 Ultra perform in terms of Video Stabilization?
- Stabilization is effective during static shots and normal walking movements, providing generally smooth and stable footage
- In indoor and low-light conditions, there can be noticeable variations in sharpness between frames, leading to a slightly less consistent stabilized image
Vivo X300 Ultra – Well stabilized video with almost no residual motion
Vivo X200 Ultra – Some residual motion
Apple iPhone 17 Pro Max – Well stabilized with few residual motion
Artifacts
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Apple iPhone 17 Pro
Apple iPhone 17 Pro
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.
How does the vivo X300 Ultra perform in Video Artifacts?
- Video artifacts are generally minimal in good lighting conditions.
- In low-light scenarios, artifacts become more noticeable and can impact overall image cleanliness.
Main video artifacts penalties
UltraWide
147
Motorola Signature
Motorola Signature
All image quality attributes are evaluated at focal lengths from approximately 12 mm to 300 mm, with particular attention paid to texture and smoothness of the zooming effect. The score is derived from a number of objective measurements in the lab and perceptual analysis of real-life video recordings.
How does the vivo X300 Ultra perform in Video Ultrawide?
- The ultrawide video performance delivers excellent sharpness, with strong edge-to-edge consistency that is particularly impressive for this focal length.
- Dynamic range is strong, with well-balanced exposure that handles bright skies and high-contrast scenes effectively, even in wide-angle compositions.
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.
Tele
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Vivo X200 Ultra
Vivo X200 Ultra
How does the vivo X300 Ultra perform in terms of Video Telephoto?
- The telephoto video performance delivers very high levels of detail, with strong zoom consistency and stable sharpness even at longer focal lengths
- In challenging conditions, performance degrades, with increased noise and more visible artifacts, particularly in low-light environments
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.
