The Oppo Find X9 Ultra camera performance is evaluated across photo, zoom, and video use cases using DXOMARK’s objective measurements and perceptual analyses to assess imaging performance across common shooting conditions. This article provides a structured summary of DXOMARK’s lab measurements and perceptual analyses to describe the device’s imaging performance.
Overview
Key camera specifications:
-
- Primary: 200 MP, f/1.5, 23mm (wide), 1/1.12″, PDAF, OIS
- Ultra-wide: 50 MP, f/2.0, 14mm (ultrawide), 1/1.95″
- Tele: 200 MP, f/2.2, 70mm (telephoto), 1/1.28″, PDAF, OIS, 3x optical zoom
- Tele(2): 50 MP, f/3.5, 230mm (telephoto), 1/2.75″, PDAF, OIS, 10x optical zoom
With a score of 170 points, the Oppo Find X9 Ultra ranks third in our camera ranking, at the same level as the to the Vivo X300 Ultra. It delivers strong overall performance in both photo and video, with its main strengths being detail preservation, noise control, portrait bokeh, and long-range zoom performance. The camera is capable of producing consistent results across a wide range of conditions, while its main limitations become more apparent in challenging low-light and high-dynamic-range scenes.
In photo, the Oppo Find X9 Ultra combines accurate exposure, generally pleasant color rendering, and very good detail preservation. Texture is a particular strength, with very high measurements and strong real-world results. Noise is also effectively controlled in most conditions, while portrait images benefit from natural segmentation and pleasant spotlight effects. Zoom performance is strong across the range, with a very good level of detail at long and extra-long distances and a natural rendering.
The camera’s limitations in photo are relatively moderate but become more visible in difficult conditions. Slight exposure instabilities can occasionally appear between consecutive shots, while warm low-light scenes may show color casts. Motion blur can affect texture in low light, and some flare and color quantization artifacts can be visible. In strong HDR scenes, highlight clipping can also occur.
Video performance is good overall, with effective stabilization and a good compromise between texture and noise. Exposure is generally accurate and the dynamic range is wide, although clipping can occur in very high dynamic range scenes. Autofocus is accurate overall but can be slightly slow, with occasional failures and visible stepping in low light. The main limitations are found in low-light conditions, where fine details are lost and noise becomes more pronounced, as well as in the presence of some video artifacts and visible transitions between cameras.
Scoring
Sub-scores and attributes included in the calculations of the global score.
Oppo Find X9 Ultra
170
camera
176
Huawei Pura 80 Ultra
Best: Huawei Pura 80 Ultra (184)
185
Oppo Find X9 Ultra
166
Vivo X300 Ultra
Best: Vivo X300 Ultra (175)
173
Oppo Find X9 Ultra
170
Apple iPhone 17 Pro
Best: Apple iPhone 17 Pro (186)
148
Motorola Signature
Best: Motorola Signature (151)
128
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)
Zoom
Photos and videos captured using zoom (more than 1x)
Pros
- Good brightness in both Photos and Videos
- Pleasant color rendering with faithful skintones in outdoor and indoor conditions for photos and videos
- High level of detail in photos, for the main camera but also at specific zoom ranges
- Very limited noise in photos across all ranges
- Portrait mode delivering natural pictures with a high level of detail
Cons
- Slight focus shifts can be seen during transitions, and the camera occasionally focuses on the wrong subject
- Visible noise appears in backlit and low-light conditions
- Color casts are sometimes too strong in low-light conditions
Oppo Find X9 Ultra – Warm cast, high level of details, controlled noise
vivo X300 Ultra – Neutral cast, high level of details, slight luminance noise
Apple iPhone 17 Pro – Warm cast, low level of details and visible noise
Low-light photography is one of the strongest areas of the camera’s performance, with the Oppo Find X9 Ultra achieving a top score in the low-light photography use case (This top score applies specifically to low-light photo performance and not to video). Images generally retain a good level of detail while noise is effectively controlled, and exposure and color remain consistent across challenging lighting conditions. Some limitations can still be observed, including slight motion blur and occasional low-frequency chromatic noise in very dark areas, as well as color casts under warm illuminants.
The performance is less consistent in low-light video, where fine details are more noticeably lost and noise becomes stronger, particularly in darker areas of the scene. Color casts can also affect rendering and skin tones, while occasional hue shifts may appear around light sources or in the sky. This difference between photo and video performance is an important factor in the overall low-light evaluation and prevents the Oppo Find X9 Ultra from reaching the same level across both use cases.
Oppo Find X9 Ultra – Pleasant skin tones, vibrant colors, high level of details on face
vivo X300 Ultra – Pleasant skin tones and color rendering, lower level of fine details
Huawei Pura 80 Ultra – More neutral and less saturated colors, high level of details on face
The Oppo Find X9 Ultra is an excellent device for portrait photography. It consistently delivers well-balanced exposure and pleasant color rendering across a wide range of skin tones, particularly in photo mode. The device also excels in bokeh mode, leveraging its first telephoto camera module to produce images with outstanding detail and a very natural-looking background blur. This results in portraits that are both sharp and visually appealing.
In addition, its highly reliable photo autofocus enables accurate capture of decisive moments, both indoors and outdoors, making it particularly effective for photographing people in motion.
Oppo Find X9 Ultra – Fine details, controlled noise and warm cast
vivo X300 Ultra – Slightly artificial details, fine luminance noise, slightly warm color cast
Huawei Pura 80 Ultra – Inconsistent sharpness on the model, neutral color cast
The Oppo Find X9 Ultra benefits from an exceptionally powerful camera setup, featuring two large 200 MP sensors for the main (1x) and telephoto (3x) cameras, complemented by an additional 10x telephoto module.
Its zoom performance is outstanding, particularly on the telephoto side, where it delivers excellent detail and image quality across a wide range of zoom levels. However, it narrowly misses the top position in the overall Zoom ranking when considering the complete zoom experience. Compared with the Vivo X300 Ultra, it shows slightly lower overall performance, with less detailed measurements and weaker results in some areas, particularly in video tele performance and low-light scenarios. It also delivers less consistent smoothness and overall performance in natural scenes, which ultimately places it just behind the Vivo X300 Ultra.
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.
Oppo Find X9 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
175
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.
The Oppo Find X9 Ultra delivers strong photo performance, with accurate target exposure across portrait and landscape scenes and a wide dynamic range. Color rendering is generally pleasant, with natural skin tones and neutral white balance in bright conditions. Autofocus is accurate overall, although the depth of field can be slightly limited in group portraits, with AI-based face enhancements helping to compensate for this limitation.
Texture preservation is one of the camera’s strongest areas. The device maintains a very high level of detail in most conditions and achieves very high laboratory measurements. Noise is also well controlled, with efficient denoising contributing to clean images in most conditions. In very low light, however, slight chromatic noise can appear in flat areas, while motion blur can affect texture.
Portrait bokeh is another strong point, with very good and natural subject segmentation and pleasant spotlight effects. The zoom system also provides a very good level of detail, particularly at long and extra-long distances, with a natural rendering that does not rely heavily on AI-generated detail. The main limitations are occasional exposure instabilities, color casts under warm low-light illumination, and some flare and color quantization artifacts. Highlight clipping can also occur in very strong HDR scenes.
Main
176
Huawei Pura 80 Ultra
Huawei Pura 80 Ultra
Oppo Find X9 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
129
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)
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.
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.
Oppo Find X9 Ultra – Well balanced brightness and natural skintones
iPhone 17 Pro – Slight lower brightness overall, colder rendering
Vivo X300 Ultra – Higher brightness of faces, lower saturation in highlights.
How does the Oppo Find X9 Ultra perform in Photo Exposure ?
-
- Accurate target exposure on portraits and landscapes across most conditions
- Wide dynamic range with generally pleasant contrast
- Slight exposure instabilities can occasionally appear between consecutive shots
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.
Oppo Find X9 Ultra – Accurate white balance and accurate skintones
Apple iPhone 17 Pro – Visible blue cast affecting skintones
Vivo X300 Ultra – Acceptable color cast
How does the Oppo Find X9 Ultra perform in Photo Color ?
-
- Generally pleasant color rendering with natural skin tones
- Neutral white balance in bright-light conditions
- Color casts can become visible under warm low-light illuminants
Sharpness & Timing
121
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.
Autofocus irregularity and speed: 1000Lux Δ0EV Daylight 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.
How does the Oppo Find X9 Ultra perform in Photo Autofocus ?
-
- Generally accurate autofocus performance.
- The lack of a variable-aperture system results in a slightly limited depth of field in group portraits; while AI-based face enhancements help compensate, the Vivo X300 Ultra uses its software solution slightly more effectively to maintain facial sharpness across multiple subjects
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.
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.
How does the Oppo Find X9 Ultra perform in Photo Texture ?
-
- Fine details are well preserved across a wide range of lighting conditions
- Slight texture degradation can occur in low light due to motion blur
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.
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.
No noise visible on uniform area
Fine luminance noise visible
Fine luminance noise very slightly visible
How does the Oppo FInd X9 Ultra perform in Photo Noise ?
-
- Efficient denoising maintains clean images while preserving fine details
- Slight low-frequency chromatic noise can become visible in very low-light scenes
Artifacts
76
Vivo X300 Ultra
Vivo X300 Ultra
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.
Main photo artifacts penalties
How does the Oppo Find X9 Ultra perform in Photo Artifacts ?
-
- Occasional flare can result in a loss of contrast
- Artifact control is generally effective outside challenging lighting conditions
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.
High level of detail, free of segmentation artifacts around the subject
Loss of fine details, presence of slight artifacts around subject
High level of detail, accurate segmentation
How does the Oppo Find X9 Ultra perform in Photo Bokeh ?
-
- Very good and natural subject segmentation
- Pleasant rendering of background spotlights
- Background blur may therefore be less visible in some portrait scenes
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.
Oppo Find X9 Ultra Telephoto 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.
How does the Oppo Find X9 Ultra perform in Photo Telephoto ?
-
- Very good detail preservation at long and extra-long focal lengths
- Natural rendering without obvious reliance on AI-generated detail
- Higher detail levels than the Vivo X300 Ultra at long and extra-long zoom ranges
UltraWide
166
Vivo X300 Ultra
Vivo X300 Ultra
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.
Oppo Find X9 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.
Oppo Find X9 Ultra – slight loss of detail in darks
Apple iPhone 17 Pro – well balanced brightness on subject
Vivo X300 Ultra – well balanced brightness and brighter rendering
How does the Oppo Find X9 Ultra perform in Photo Ultrawide ?
-
- Good level of detail, although slightly behind the category leaders.
- Slight clipping visible in brights or darks, and noticeable artifacts as color fringing or fusion artifacts
Video
161
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.
The Oppo Find X9 Ultra provides good overall video performance, with generally accurate exposure and a wide dynamic range. Color rendering is often pleasant, although strong color casts can appear in low light and may affect skin tones. Autofocus is accurate overall but can be slightly slow, with occasional failures visible during side-to-side movements and slight stepping during low-light focus transitions.
The camera maintains a good level of detail in bright conditions and provides a good compromise between texture and noise. In low light, however, fine details are lost and noise becomes more pronounced, particularly in darker areas. Several artifacts can occasionally be observed, including flare, color quantization, and hue shifts in areas such as the sky or around light sources.
Video stabilization is effective overall, without significant visible stabilization artifacts, although very slight shaking can remain visible in static parts of the scene. Slight jumps between cameras can be observed, while the ultra-wide camera may occasionally show texture loss, color fringing, and fusion artifacts. Overall, the strongest video results are obtained in good lighting, while low-light scenes remain the main area where image quality is reduced.
Main
170
Apple iPhone 17 Pro
Apple iPhone 17 Pro
Oppo Find X9 Ultra Video scores
Video Main 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
127
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 adaptation of the exposure are also analyzed.
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.
Oppo Find X9 Ultra – Well-balanced brightness, very slight clipping
Apple iPhone 17 Pro – Well-balanced brightness, slight clipping on yellow background
Vivo X300 Ultra – Well-balanced brightness, slight overexposure during transitions
How does the Oppo Find X9 Ultra perform in Video Exposure ?
-
- Generally accurate target exposure across most lighting conditions
- Wide dynamic range in high-contrast scenes
- Occasional exposure adaptation issues during changes in lighting
Color
125
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 adaptation when light is changing.
Oppo Find X9 Ultra – Significant orange cast in lowlight
Apple iPhone 17 Pro – Warm rendering, pleasant color separation
How does the Oppo Find X9 Ultra perform in Video Color ?
-
- Color rendering is generally pleasant in outdoor and indoor conditions
- Significant orange casts are visible in lowlight environments
Sharpness & Timing
104
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.
Oppo Finx X9 Ultra – Occasionally wrong focus target
Apple iPhone 17 Pro – Focus is accurate and switches between subjects
Vivo X300 Pro – Focus is accurate and switches between subjects
How does the Oppo Find X9 Ultra perform in Video Autofocus ?
-
- Autofocus is accurate, but very slight stepping is sometimes visible during focus transitions.
- Wrong focus targets are occasionally visible
Texture
111
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.
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.
How does the Oppo Find X9 Ultraperform in Video Texture ?
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- High level of detail in bright light
- Loss of fine details in backlit and lowlight conditions
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.
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.
How does the Oppo Find X9 Ultra perform in Video Noise ?
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- Noise is very well handlhed in bright conditions
- Visible noise in darks in backlit or lowlight conditions
Oppo Find X9 Ultra – Noise on curtains, loss of details on face
Apple iPhone 17Pro – High details on subject, no visible noise
Stabilization
123
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.
Oppo Find X9 Ultra – Fluid motion and efficient stabilization
Apple iPhone 17 Pro – Fluid motion and efficient stabilization
How does the Oppo Find X9 Ultra perform in Video Stabilization ?
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- Effective stabilization delivers smooth results enhanced by the 60fps
- Very slight residual shaking can remain visible in static areas of the scene
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
How does the Oppo Find X9 Ultra perform in Video Artifcats ?
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- Flare and Color quantization are visible in backlit conditions
- Moiré pattern can be visible sometimes on fine details, and inaccurate hue shifts can be visible near lights.
UltraWide
148
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.
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.
How does the Oppo find X9 Ultra perform in Video Ultra wide?
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- Generally good ultra-wide video performance
- Color fringing can appear in challenging scenes
- Fusion artifacts can be visible in some situations
Tele
128
Vivo X200 Ultra
Vivo X200 Ultra
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.
How does the Oppo find X9 Ultra perform in Video Telephoto ?
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- Excellent video zoom performances, with high performances from 20 to 100mm (equiv. 35 mm) in all conditions, as well as at 300mm in bright light
- Visible drop of detail at 200mm (equiv. 35mm)
