We put the Apple Macbook Professional (M5, 2025) by means of our rigorous DXOMARK Laptop computer take a look at suite to measure its efficiency in sound, digital camera and show. On this evaluate, we are going to break down the way it fared in quite a lot of assessments and several other frequent use instances.
Overview
Scoring
Use-case and have subscores included within the calculations of the worldwide rating
Apple MacBook Professional 14 (M5, 2025)
135
digital camera
88
Apple MacBook Professional 14″ (M3 Professional, 2023)
Greatest: Apple MacBook Professional 14″ (M3 Professional, 2023) (93)
43
Lenovo ThinkPad X9 Aura
Greatest: Lenovo ThinkPad X9 Aura (56)
67
Microsoft Floor Laptop computer 13-inch
Greatest: Microsoft Floor Laptop computer 13-inch (79)
85
Apple MacBook Professional 14″ (M2 Professional, 2023)
Professionals
- Face publicity is commonly correct with an prolonged dynamic range in all tested conditions
- Good noise control with well-preserved details
- Subjects constantly appear in focus
Test summary
About DXOMARK Laptop tests: For scoring and analysis in our laptop reviews, DXOMARK engineers perform a variety of objective tests and undertake more than 20 hours of perceptual evaluations under controlled lab conditions and real-life scenarios. (For more details about the Laptop protocol, click here.)
The following section gathers key elements of our exhaustive tests and analyses performed in DXOMARK laboratories. Detailed performance evaluations in the form of reports are available upon request. Do not hesitate to contact us.
Camera
135
Apple MacBook Pro 14 (M5, 2025)
136
Apple MacBook Pro 14″ (M4, 2024)
Apple MacBook Pro 14″ (M4, 2024)
About DXOMARK Camera Laptop tests
DXOMARK evaluates the image quality of the built in camera during video calls, whether with a single person or with multiple people, in a variety of lighting conditions. Our camera evaluation particularly assesses the ability of the built-in camera to clearly render human faces during video calls. Other intrinsic camera quality aspects are also evaluated, like color reproduction, texture, and noise, as well as artifacts.
The MacBook Pro (M5, 2025) delivers a performance very much in line with its predecessor, retaining many of the strong qualities seen in the MacBook Pro (M4, 2024). Exposure remains generally well-controlled, with pleasing skin tone rendering and good dynamic range that preserves details in both highlights and shadows. Noise management sees a slight improvement, contributing to cleaner and more stable imagery overall.
However, this generation also introduces a slight regression in texture rendering. Fine details are not reproduced with quite the same level of clarity, and this can occasionally be perceived in certain scenes. Additionally, the default field of view is marginally narrower than on the MacBook Pro (M4, 2024), offering a slightly tighter framing.
Overall, while the device maintains strong imaging fundamentals and even improves in noise performance, the reduced texture quality and narrower field of view represent minor trade-offs compared to its predecessor. Considering these relatively small changes, the MacBook Pro (M5,2025) does not bring significant advancements to the camera system and largely continues the performance profile established by previous generations.
The following chart presents the camera subscores for the video call use case:
Camera texture acutance on Deadleaves with illuminance levels
The following graphs show the objective measurements performed in our camera labs:
Camera visual noise evolution with illuminance levels
Target exposure on face with illuminance levels
Target exposure on face with illuminance levels in HDR conditions
These measurements take place on a setup combining realistic mannequins and a backlit panel simulating high dynamic range conditions. This graph shows the evolution of lightness measured on the forehead of the realistic mannequin with the level of lux, for multiple lighting conditions. The lightness is measured in L*. Delta EV specifies the difference of luminance in stops between the face and the light panel simulating HDR conditions.
Target exposure on face with illuminance levels in HDR conditions
These measurements take place on a setup combining realistic mannequins and a backlit panel simulating high dynamic range conditions. This graph shows the evolution of lightness measured on the forehead of the realistic mannequin with the level of lux, for multiple lighting conditions. The lightness is measured in L*. Delta EV specifies the difference of luminance in stops between the face and the light panel simulating HDR conditions.
