We subjected the Crosscall Core-Z5 to our rigorous SBMARK Camera test suite to measure its performance in terms of photo, video and zoom quality from an end-user perspective. This article analyzes how the device performed in a variety of tests and several common use cases and aims to highlight the most important results of our tests with an excerpt of the data captured.
Overview
Main camera specs:
- Primary: 48 MP, PDAF autofocus
Pros
- White balance generally accurate in outdoor and indoor conditions
- Accurate target exposure in outdoor and indoor conditions
- Correct texture level under the most tested conditions
Versus
- Autofocus unreliable and very unstable in all conditions tested
- Lack of stabilization, with strong residual movement visible in all conditions
- Exposure instability under all conditions tested
- Very visible noise in low light conditions
The Crosscall Core-Z5 smartphone from the French manufacturer of durable phones is primarily intended for users who need devices that are resistant to shocks and falls and capable of operating in extreme conditions. The Core-Z5 is also the brand’s first 5G phone and is in our premium price segment ($600 to $799).
When it comes to image quality from the single rear camera, however, the Core-Z5 still has a long way to go before it can compete with other phones in this segment. The camera, in general, is capable of capturing correct basic images under standard outdoor conditions, where the device is most likely to be used. In our tests, the Core-X5’s photos and videos turned out better than those taken with the Action-X5, a Crosscall model we’ve previously evaluated, but the Core-Z5’s image quality was severely limited due to the lack of an ultra-wide camera module, which affected the device’s zoom and overall score. The Core-Z5’s lack of a telephoto module, a feature commonly found on devices in this price range, also hampered the device’s camera performance.
Trial summary
About SBMARK Camera Tests: SBMARK’s camera evaluations are conducted in labs and in real-world situations using a wide variety of subjects. Scores are based on objective tests for which results are calculated directly by the measurement software on our lab setups and perceptual tests where a sophisticated set of metrics allows a panel of image experts to compare aspects of quality of the image that require human judgment. Testing a smartphone involves a team of engineers and technicians for about a week. Photo, zoom, and video quality are rated separately and then combined into an overall score for comparing cameras from different devices. For more information on the SBMARK camera protocol, click here. More details on smartphone camera scores can be found here. The following section compiles the key elements of SBMARK’s exhaustive testing and analysis. Full performance evaluations are available upon request. Please contact us on how to receive a full report.
Crosscall Core-Z5 camera scores
This graph compares the SBMARK photo, zoom and video scores between the tested device and the references. The 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 SBMARK database of tested devices.
Photo
52
Huawei Mate 50 Pro
Huawei Mate 50 Pro
SBMARK camera photo test information
For scoring and analysis, SBMARK engineers capture and evaluate more than 2,600 test images in both controlled laboratory environments and outdoor, indoor, and low-light natural scenes using camera presets. The photographic protocol is designed to take into account the main use cases and is based on typical shooting scenarios, such as portrait, family and landscape photography. Evaluation is performed by visually inspecting images Cons a natural scene reference and by performing objective measurements on laboratory-acquired graph images under various lighting conditions from 1 to 1,000+ lux and color temperatures from 2,300 K to 6,500 K.
Photo scores of Crosscall Core-Z5
Photo tests analyze image quality attributes such as exposure, color, texture and noise under various lighting conditions. Autofocus performance and the presence of artifacts are also evaluated on all images acquired under controlled laboratory conditions and on real-life images. All of these attributes have a significant impact on the final quality of the images captured with the tested device and can help you understand the main strengths and weaknesses of the camera.
Crosscall Core-Z5 – Low target exposure, narrow dynamic range and bad autofocus target.
Autofocus Ruggedness and Speed: 1000Lux Δ0EV Daylight Handheld
This graph illustrates focus accuracy and speed, and also zero shutter lag capability by showing edge acuity versus shooting time measured on the AFHDR setup over a series of images. All photos were taken at 1000 Lux with Daylight illuminant, 500 ms after blurring. Edge sharpness is measured on the four edges of the Dead Leaves graph and shooting time is measured on the Universal Timer LED.
SBMARK CHART (DMC) Detail Retention Score vs. Lux Levels for Tripod and Handheld Conditions
This graph shows the evolution of the DMC Detail Retention score with lux level, for two retention conditions. The DMC Detail Retention Score is derived from an AI-powered metric trained to evaluate texture and detail rendition on a selection of crops from our SBMARK chart.
Evolution of visual noise with illuminance levels in portable conditions
This graph shows the evolution of the visual noise metric with lux level under palmar conditions. The Visual Noise metric is the average of the Visual Noise measurement across all patches of the Dead Leaves graph in the AFHDR configuration. The SBMARK visual noise measurement is derived from the ISO15739 standard.
Zoom in
30
Honor Magic4 Ultimate
Honor Magic4 Ultimate
About SBMARK Camera Zoom Tests
SBMARK engineers capture and evaluate over 400 test images in controlled laboratory environments and natural outdoor, indoor, and low-light scenes using camera presets and pinch zoom at various zoom factors from ultra wide to very long zoom. Evaluation is performed by visually inspecting images Cons a natural scene reference and by performing objective measurements of lab-captured map images under varying conditions from 20 to 1000 lux and color temperatures from 2300K to 6500K.
Zoom Crosscall Core-Z5 scores
This graph illustrates the relative scores for the different zoom ranges evaluated. The abscissa is expressed in focal length equivalent to 35mm. Zoomed scores appear on the right and zoomed scores on the left.
video
37
Apple iPhone 14 Pro Max
Apple iPhone 14 Pro Max
About SBMARK Camera Video Tests
SBMARK engineers capture and evaluate more than 2.5 hours of video in controlled lab environments and low natural light scenes, indoors and out, using the camera’s default settings. Evaluation consists of visually inspecting natural video taken under various conditions and performing objective measurements on lab-recorded graph video under various conditions from 1 to 1000+ lux and color temperatures from 2,300K to 6,500K.
Crosscall Core-Z5 video scores
Video tests analyze the same image quality attributes as still images, such as exposure, color, texture or noise, as well as temporal aspects such as speed, exposure uniformity and stability, white balance and autofocus transitions.
Crosscall Core-Z5 – Strong exposure and autofocus instability.
SBMARK CHART (DMC) video score for detail retention versus lux levels
This graph shows the evolution of the video DMC detail retention score with the level of lux in the video. The DMC Detail Retention Score is derived from an AI-powered metric trained to evaluate texture and detail rendition on a selection of crops from our SBMARK chart.
Evolution of spatial visual noise with level of illumination
This graph shows the evolution of spatial visual noise with lux level. Spatial visual noise is measured on the visual noise table in the video noise setup. The SBMARK visual noise measurement is derived from the ISO15739 standard.
Time evolution of visual noise with level of illumination
This graph shows the evolution of visual noise over time with lux level. Temporal visual noise is measured on the visual noise table in the video noise configuration.
Start a new Thread