Apple M2 Pro 16-Core GPU vs Radeon RX Vega 28 Mobile

Primary details

GPU architecture, market segment, value for money and other general parameters compared.

Place in the rankingnot ratednot rated
Place by popularitynot in top-100not in top-100
Market segmentLaptopLaptop
Release dateno data (2024 years ago)17 January 2023 (1 year ago)

Detailed specifications

General parameters such as number of shaders, GPU core base clock and boost clock speeds, manufacturing process, texturing and calculation speed. Note that power consumption of some graphics cards can well exceed their nominal TDP, especially when overclocked.

Pipelines / CUDA coresno data16
Manufacturing process technologyno data5 nm

Form factor & compatibility

Information on compatibility with other computer components. Useful when choosing a future computer configuration or upgrading an existing one. For desktop graphics cards it's interface and bus (motherboard compatibility), additional power connectors (power supply compatibility).

Laptop sizeno datamedium sized

VRAM capacity and type

Parameters of VRAM installed: its type, size, bus, clock and resulting bandwidth. Integrated GPUs have no dedicated video RAM and use a shared part of system RAM.

Memory typeno dataLPDDR5-6400
Shared memoryno data+

Pros & cons summary


We couldn't decide between Radeon RX Vega 28 Mobile and Apple M2 Pro 16-Core GPU. We've got no test results to judge.


Should you still have questions concerning choice between the reviewed GPUs, ask them in Comments section, and we shall answer.

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AMD Radeon RX Vega 28 Mobile
Radeon RX Vega 28 Mobile
Apple M2 Pro 16-Core GPU
M2 Pro 16-Core GPU

Comparisons with similar GPUs

We selected several comparisons of graphics cards with performance close to those reviewed, providing you with more options to consider.

Community ratings

Here you can see the user ratings of the compared graphics cards, as well as rate them yourself.


1.5 4 votes

Rate Radeon RX Vega 28 Mobile on a scale of 1 to 5:

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3.3 193 votes

Rate Apple M2 Pro 16-Core GPU on a scale of 1 to 5:

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Questions & comments

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