We inserted Google Pixel 9a through our rigorous DXOMark camera test suite to measure its performance as photos, videos and zoom from the point of view of the final user. This article disappears the way the device went to a variety of tests and several cases of common use and is intended to highlight the most important results of our tests with an extract of the acquired data.

Panoramic

Key camera specifications:

  • Primary: 48 MP 1/2 ″ sensor, opening lens F/1.7, Claf, OIS
  • Ultra-Wide: sensor 13 MP 1/3.1 ″, opening lens f/2.2, visual field at 120 °

Pros

  • Accurate exposure and good highlighting retention
  • White balance fairly neutral and beautiful colors in most test conditions
  • Good rendering of refined details in light and at home, as well as in macro mode

Google Pixel 9a offered an impressive quality of images and videos in the tests of the DXOMark camera, inheriting many of the qualities of its most premium as Pixel 9. It also offers high -level features, making it a convincing choice for mobile photographers in search of foggiai performance without the price of foggership. By superforming the quality of the camera of the devices with higher price levels, he gains the Smart Choice label, which recognizes the products that offer an exceptional experience of the camera within their category.

With an emphasis on accurate exposure, on the reproduction of pleasant colors and the reliable autofocus, the 9A pixel ensured high quality photographic catches and videos both in light of the day and under the typical internal lighting. Its wide depth of field has allowed subjects well focused on different types of scenes and the camera has provided excellent rendering of details and fine plots. However, in poor lighting scenes, our testers have observed a remarkable drop in detail, as well as some dynamic and noise inconsistencies through consecutive shots. During the zoom, the pixel offered a good quality from the ultra on a short level. The lack of a dedicated television camera meant that a decrease in image quality was evident to longer canvas settings.

Test summary

Information on DXOMark camera tests: The assessments of the DXOMark camera take place in the workshops and in situations from the real world using a wide variety of subjects. The scores are based on objective tests for which the results are calculated directly from the measurement software on our laboratory configurations and on perceptual tests in which a sophisticated set of metrics allows a group of images experts to compare the aspects of the quality of the image that require a human judgment. Testing a smartphone includes a team of engineers and technicians for about a week. The quality of photos, zooms and videos is evaluated separately and therefore combined in an overall score for the comparison between the cameras in different devices. For more information on the DXOMark camera protocol, click here. More details on the smartphone camera scores are available here. The following section collects key elements of the tests and exhaustive analyzes of DXomark. Complete performance assessments are available on request. Please contact us on how to receive a complete relationship.

Scores on Google Pixel 9th ​​Chamber

This graphic compares the Dxomark scores photos, zooms and videos between the tested device and the references. Average and maximum scores of the price segment are also indicated. The average and maximum scores for each price segment are calculated based on the DXOMark database of tested devices.

Photo

150

Huawei Pura 70 Ultra

Huawei Pura 70 Ultra

Information on the photographic tests of DXOMark Camera

For the score and analysis, DXOMark engineers acquire and evaluate over 2,600 test images both in controlled laboratory environments and in external, internal natural scenes and in low light conditions, using the predefined settings of the camera. The photographic protocol is designed to take into account the main cases of use and is based on typical shooting scenarios, such as portraits, family and landscape photography. The evaluation is performed by visually inspecting images compared to a reference of natural scenes and performing objective measurements on the images of graphs captured in the laboratory in different lighting conditions from 1 to 1,000+ lux and color temperatures of 2,300ka 6,500k.

In photographic mode, the 9a pixel was able to provide the same excellent exhibition, dynamic range and accuracy of the color of the most expensive pixel 9. However, the smaller image sensor of the 9a pixel fought to achieve the same great balance between consistency and noise, with consequent detail slightly less refined in some shooting conditions.

Having said that, the 9a pixel has still been excellent in the still, offering an accurate exposure in a range of light conditions, as well as a wide dynamic range that led to excellent highlighting details in high contrast scenes. The white balance was neutral, providing natural and pleasant colors in most test scenarios. The wide depth of field has ensured sharp subjects through focus planes and refined details have been made well to intense light, under internal lighting and macro shots.

There have remained some areas of improvement, in particular the instability of the dynamic range, the variation of the noise between consecutive images and artifacts of esteem of the depth in bokeh mode. In addition, in scenes in low light conditions, the detail level has decreased quickly, reducing the overall clarity of the images.

Google Pixel 9a photographic points

The photographic tests analyze the quality attributes of the image such as exposure, color, plot and noise in various light conditions. Autofocus performances and the presence of artifacts on all images captured in laboratory conditions controlled 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 understand the main strengths and weaknesses of the camera.

Exposure

122

Huawei Pura 70 Ultra

Huawei Pura 70 Ultra

Color

125

Apple iPhone 16 Pro

Apple iPhone 16 Pro

Exposure and color are the key attributes for technically good images. For the exhibition, the main attribute assessed is the brightness of the main subject through various use cases such as landscape, portrait or dead life. Other factors evaluated are the contrast and the dynamic interval, e.g. The ability to make the details visible in brilliant and dark areas of the image. Repeatability is also important because it demonstrates the camera’s ability to provide the same rendering when you take several images of the same scene.
For the color, the quality attributes of the analyzed image are rendering skin tone, white balance, color shading and repeatability. For the rendering of the color tone and the skin, we penalize the unnatural colors but we respect the choice of the signature of the color by a manufacturer.

Google Pixel 9a – Good exposure, large dynamic range, bright colors, high levels of detail but light noise

Google Pixel 9 – Good exposure, large dynamic range, bright colors, high levels of detail

Google Pixel 8a – Good exposure, large dynamic range, bright colors, low detail levels

Autofocus

109

Huawei Pura 70 Ultra

Huawei Pura 70 Ultra

Autofocus tests focus on the accuracy of the focus, on the repeatability of focus, on the shooting delay and on the depth of the field. The shooting delay is the difference between the time when the user presses the acquisition button and the time when the image is actually taken. It includes the focus speed and the device ability to acquire images at the right time, what is called “zero lag of the shutter” capacity. Even if a depth of surface field can be pleasant for a single portrait or a blow close to, it can also be a problem in some specific conditions such as group portraits; Both situations are tested. The accuracy of the focus is also evaluated in all the images of the real life taken, from infinity to close objects and in low light conditions on external conditions.

AUTOFOCUS Irregularities and Speed: 1000Lux δ0Ev daytake

This graph illustrates the accuracy and speed of focus and also the zero -shutter delay capacity by showing the exacerbation of the edges compared to the measurement time on the AFHDR configuration on a series of images. All the images were taken at 1000Lux with a daylight lighting light, 500 ms after the Defocus. The Edge’s mite is measured on the four edges of the dead leaves table and the shooting time is measured on the universal led timer.

Structure

112

Xiaomi 15 Ultra

Xiaomi 15 Ultra

The plot tests analyze the level of details and the plot of the subjects in the images taken in the laboratory and in the scenarios of real life. 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 images of the graph taken in various lighting conditions from 1 to 1000 lux and different types of dynamic range conditions. The graphs used are the owner DXomark graphic (DMC) and the graphic graph with dead leaves.

Dxomark Chart (DMC) detailed conservation score compared to Lux levels for the conditions of the tripod and the PDA

This graph shows the evolution of the DMC details conservation score with the Lux level, for two maintenance conditions. The DMC detail conservation score derives from a metric based on artificial intelligence trained to evaluate the plot and details that make the selection of crops of our DXOMark graph.

Noise

94

Huawei Pura 70 Ultra

Huawei Pura 70 Ultra

The noise tests analyze various attributes of noise such as intensity, chromaticity, wheat, structure on real life images and images of graphs taken in the laboratory. For natural images, particular attention is paid to noise on faces, landscapes, but also on dark areas and high dynamic range conditions. The noise on moving objects is also evaluated on natural images. Objective measurements are performed on images of graphs taken in various conditions from 1 to 1000 lux and different types of dynamic range conditions. The graph used is the dead leaves and the standardized measurement as the visual noise derived from ISO 15739.

Evolution of visual noise with levels of enlightenment in portable conditions

This graph shows the evolution of visual noise metric with the level of lux in portable conditions. The metric of visual noise is the average of the measurement of visual noise on all the patches of the graphic graphic designer in the AFHDR configuration. Dxomark visual noise measurement derives from the ISO15739 standard.

Artifacts

81

Xiaomi Redmi 12 5g

Xiaomi Redmi 12 5g

The evaluation of the artifacts examines the shading of the objective, the chromatic aberrations, the geometric distortion, the evil of the edges, the halos, the ghost, the quantization, the unexpected changes of the color shade, among other possible innatural effects on the photos. The more serious and more frequent the artifact is, the greater the deduction of the point on the score. The main artifacts observed and the loss of corresponding points are listed below.

Criminal Penality for Main Photos

Zoom

121

Xiaomi 15 Ultra

Xiaomi 15 Ultra

Information on the Zoom tests of the DXOMark camera

Dxomark engineers acquire and evaluate over 400 images of tests in controlled laboratory environments and in external natural scenes, internal and in low light conditions, using the default settings of the camera and pinch the zoom to various zoom zoom factors long -range zoom. The evaluation is carried out by visually inspecting the images compared to a reference of natural scenes and performing objective measurements of the graphic magicians captured in the laboratory in different conditions from 20 to 1000 lux and color temperatures from 2300k to 6500k.

The terms of Tele Zoom, the 9a pixel was somehow behind the best devices of the class such as Honor 200 Pro or Samsung Galaxy S23 FE, due to the lack of a dedicated camera module. While the conservation of details in the short -range canvases settings was decent, our testers observed a significant loss of media and long -range details. At the opposite end of the zoom spectrum, the ultra wide camera captured high quality images. Overall, the 9a pixel is a good option for wide angle photographers and for filming with standard focal lengths up to short films. Better alternatives are available if you frequently acquire subjects for a long time from the lens.

Google Pixel 9a zoom scores

This graph illustrates the relative scores for the different ranges of zooms assessed. The abscissa is expressed in focal length equivalent to 35 mm. The zoom-in scores are displayed on the right and zoom-out scores on the left.

Wide

113

Huawei Pura 70 Ultra

Huawei Pura 70 Ultra

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

Google Pixel 9a – High levels of detail, balance of neutral white

Google Pixel 9 – High levels of detail, balance of neutral white

Samsung Galaxy A55 – Low Detail Levels, Blue Color helmets

Canvase

86

Xiaomi 15 Ultra

Xiaomi 15 Ultra

All the quality attributes of the image are evaluated in focal lengths from about 40 mm to 300 mm, with particular attention to the plot and details. The score derives from a series of objective measurements in the laboratory and perceptual analysis of images of real life.

Dxomark Chart (DMC) Detail conservation score for focal length

This graph shows the evolution of the DMC detail conservation score with respect to the focal length equivalent to full-smile for different light conditions. Axis X represents the equivalent focal length measured for each corresponding shooting distance and the Y axis represents the maximum details metric score: higher value means better quality. The large points correspond to the zoom ratio available in the user interface of the camera application.

Dxomark Chart (DMC) Detail conservation score for focal length

This graph shows the evolution of the DMC detail conservation score with respect to the focal length equivalent to full-smile for different light conditions. Axis X represents the equivalent focal length measured for each corresponding shooting distance and the Y axis represents the maximum details metric score: higher value means better quality. The large points correspond to the zoom ratio available in the user interface of the camera application.

Dxomark Chart (DMC) Detail conservation score for focal length

This graph shows the evolution of the DMC detail conservation score with respect to the focal length equivalent to full-smile for different light conditions. Axis X represents the equivalent focal length measured for each corresponding shooting distance and the Y axis represents the maximum details metric score: higher value means better quality. The large points correspond to the zoom ratio available in the user interface of the camera application.

Dxomark Chart (DMC) Detail conservation score for focal length

This graph shows the evolution of the DMC detail conservation score with respect to the focal length equivalent to full-smile for different light conditions. Axis X represents the equivalent focal length measured for each corresponding shooting distance and the Y axis represents the maximum details metric score: higher value means better quality. The large points correspond to the zoom ratio available in the user interface of the camera application.

Video

137

Apple iPhone 16 Pro

Apple iPhone 16 Pro

Information on the video tests of the DXOMark camera

Dxomark engineers acquire and evaluate more than 2.5 hours of videos in controlled laboratory environments and in natural scenes of poor lighting, internal and external, using the default settings of the camera. The evaluation consists in visually inspecting the natural videos taken in various conditions and the execution of objective measurements on the videos of the graphs recorded in the laboratory in different conditions from 1 to 1000+ lux and color temperatures of 2,300ka 6,500k.

In our video tests, Google Pixel 9a has offered solid performance, in particular in terms of speed and accuracy of the autofocus. The video stabilization system has been effective in reducing camera shocks and capturing smooth movies. In addition, the colors were beautiful in the scenes of daylight. However, a loss of refined details was evident at home and in low light conditions, reducing sharpness. The video noise became more intrusive with the camera movement during recording and our testers have also noticed some exposure and color inconsistencies in the scenes with moving subjects. Despite these minor problems, the 9a pixel offered a complete video performance, making it a good option for mobile videographers.

The 9a pixel works slightly below the pixel 9, with movies that tends to be undue and a less optimal balance between noise and detail. Although it is still capable, it does not correspond precisely to the level of improvement of the flagship in demanding lighting conditions.

Google Pixel 9a video scores

The video tests analyze the same quality attributes of the image of fixed images, such as exposure, color, plot or noise, as well as temporal aspects such as speed and fluidity and stability of the exposure, white balance and autofocus transitions.

Exposure

104

Oppo Find X8 Pro

Oppo Find X8 Pro

Color

106

Oppo Find X8 Pro

Oppo Find X8 Pro

Exposure tests evaluate the brightness of the main subject and the dynamic interval, e.g. The ability to make the details visible in brilliant and dark areas of the image. The stability and temporal adaptation of the exposure are also analyzed.
The analysis of the color quality of the image examines the color rendering, the skin rendering of the skin, the white balance, the shading of the color, the stability of the white balance and its adaptation when the light is changing.

Google Pixel 9a – Clipping shadow and noise

Google Pixel 9 – Some tone mapping instability

Samsung Galaxy A55 – Clipping shadow, low detail levels

Structure

93

Oppo Find X6 Pro

Oppo Find X6 Pro

The plot tests analyze the level of details and the plot of the videos of real life, as well as the videos of the graphs recorded in the laboratory. Natural video recordings are visually evaluated, with particular attention to the level of details in the bright areas and in the dark. Objective measurements of images of graphs taken in various conditions from 1 to 1000 lux are performed. The graphs used are the DXOMark (DMC) and Dead Leaves graphic designer.

Dxomark Chart (DMC) Detail Book of preservation Vide Lux

This graph shows the evolution of the DMC details of the DMC detail with the Lux level on video. The DMC detail conservation score derives from a metric based on artificial intelligence trained to evaluate the plot and details that make the selection of crops of our DXOMark graph.

Noise

96

Apple iPhone 16 Pro

Apple iPhone 16 Pro

The noise tests analyze various attributes of noise such as intensity, chromaticity, wheat, structure, temporal aspects on video recording of real life and video of graphs taken in the laboratory. Natural videos are visually evaluated, with particular attention to noise in dark areas and high dynamic range conditions. Objective measurements are performed on the videos of the graphs recorded in various conditions from 1 to 1000 lux. The graphic designer used is the DXOMark visual noise diagram.

Evolution of the visual spatial noise with the level of enlightenment

This graph shows the evolution of visual spatial noise with the level of Lux. The visual spatial noise is measured on the visual noise graph in the configuration of the noise video. Dxomark visual noise measurement derives from the ISO15739 standard.

Evolution of the time visual noise with the level of enlightenment

This graph shows the evolution of time visual noise with the Lux level. The time visual noise is measured on the visual noise graph in the configuration of the noise video.

Stabilization

110

Apple iPhone 16 Pro

Apple iPhone 16 Pro

The evaluation of stabilization verifies the ability of the device to stabilize movies thanks to software or hardware technologies such as OIS, EIS or any other means. The evaluation examines the residual movement, the softness, the yellow artifacts and the blur of the residual movement on cases of use of walking and running in various lighting conditions. The video below is an extract of one of the tested scenes.

Google Pixel 9a – Effective stabilization

Google Pixel 9 – Effective stabilization

Samsung Galaxy A55 – Frame changes

Artifacts

84

Xiaomi 12s ultra

Xiaomi 12s ultra

The artifacts are evaluated with MTF and store measurements on the SFR graphic designer in the laboratory, as well as measurements of the installment with frame using the universal led timer. Natural videos are visually evaluated by paying particular attention to artifacts such as aliasing, quantization, blocking and shift of shades, among others. The more serious and more frequent the artifact is, the greater the deduction of the point from the score. The main artifacts and the loss of corresponding points are listed below.

Summary of main video factors

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Philip Owell

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