We put the HP Spectre x360 2024 through our rigorous DXOMARK Laptop test suite to measure its performance in sound, camera and display. In this review, we will break down how it fared in a variety of tests and several common use cases.
Overview
Scoring
Use-case and feature subscores included in the calculations of the global score
HP Spectre X360 2024
113
camera
72
Apple MacBook Pro 14" (M3 Pro, 2023)
Best: Apple MacBook Pro 14" (M3 Pro, 2023) (93)
42
Microsoft Surface Pro 11th edition Copilot+PC
Best: Microsoft Surface Pro 11th edition Copilot+PC (54)
65
Apple MacBook Pro 14" (M3 Pro, 2023)
Best: Apple MacBook Pro 14" (M3 Pro, 2023) (76)
78
Apple MacBook Pro 14" (M2 Pro, 2023)
Best: Apple MacBook Pro 14" (M2 Pro, 2023) (83)
Pros
- Good face exposure, even in difficult conditions
- Colors, skin tones and white balance are generally pleasant
- High level of details in bright light conditions
- Subjects are always 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
113
Apple MacBook Pro 14" (M3 Pro, 2023)
Apple MacBook Pro 14" (M3 Pro, 2023)
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 HP Spectre x360 2024 offers accurate target exposure in all conditions, even in backlit or difficult ones. Colors are also generally pleasant with a natural white balance. Some color instabilities are occasionally visible with slight color shading. The level of details is pretty high in most conditions with accurate focus. Noise can be visible in low-light scenes.
The following chart presents the camera subscores for the video call use case:
Camera texture acutance on Deadleaves with illuminance levels
This graph shows the evolution of texture acutance with the level of lux measured on a Deadleaves chart.
The following graphs show the objective measurements performed in our camera labs:
Camera visual noise evolution with illuminance levels
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.
Target exposure on face with illuminance levels
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.
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.