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Apple M2 Pro chip package (16-core GPU configuration)
Apple

Apple M2 Pro 16-Core GPU

Expert rating6.5 / 10

View on apple.com
GPU Brand:
Apple
Tier:
Integrated (binned config)
GPU Cores:
16
Process Node:
5nm enhanced (TSMC N5P)
Memory Type:
Unified
Max Unified Memory:
32GB
Memory Bandwidth:
200GB/s
PC-Installable:
No

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Manufacturer: Apple Last updated: September 12, 2026

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Apple M2 Pro 16-Core GPU Review

The Apple M2 Pro 16-core GPU is the binned graphics configuration of the M2 Pro chip, with 16 GPU cores, a 10-core CPU, up to 32GB of unified memory, and 200GB/s of memory bandwidth, found in mid-spec 14-inch and 16-inch MacBook Pro from early 2023.

Apple's binning here is comparatively gentle: this chip keeps the full 200GB/s bandwidth and 32GB memory ceiling of the 19-core M2 Pro, losing only three GPU cores and two CPU cores. For buyers whose workload isn't strictly GPU-bound, that makes it a genuinely good value pick within the M2 Pro tier, closer in real capability to its full-core sibling than the core-count difference alone would suggest.

A Gentler Cut Than Some Apple Binned Chips

Unlike bins that reduce memory bandwidth alongside core count, this M2 Pro configuration keeps the full 200GB/s bandwidth and 32GB ceiling, trading only three GPU cores and two CPU cores for a lower price.

Comparison to Alternatives

Against the full Apple M2 Pro 19-Core GPU, this chip's identical bandwidth and memory ceiling mean the gap is smaller than the core count suggests, mostly noticeable in sustained GPU-bound rendering rather than everyday use. Against the NVIDIA RTX A3000 Laptop GPU already in this catalog, a workstation-class mobile part from a similar era, the M2 Pro wins on power efficiency and unified memory flexibility, while the RTX A3000 retains the edge for CUDA-based professional applications and certified driver support.

Our verdict

Reviewed by Burooj Alam. Rated by us, not by users.

Expert rating6.5 / 10

A well-balanced mid-tier chip that keeps the full M2 Pro's memory bandwidth while trimming GPU cores, a solid value pick within the generation.

Best for

  • Everyday creative professionals editing photos and video in Metal-accelerated Adobe or Apple apps.
  • Software developers compiling and testing locally who benefit from the full 32GB memory ceiling.
  • Users who want M2 Pro-class memory bandwidth without paying for the full 19-core GPU.

Not for

  • Sustained GPU-bound 3D rendering or dense VFX work, where the full 19-core M2 Pro pulls ahead.
  • Workloads specifically requiring CUDA acceleration or NVIDIA driver certification.
  • Native Windows gaming.

Specifications

What these specs mean

Identity and type

Product TypeSoC GPU
GPU BrandApple
GPU ModelM2 Pro 16-Core GPU
SeriesApple Silicon
TierUpper Mid-Range

Performance

Memory TypeUnified LPDDR5
Ray Tracing SupportNo

Silicon

ArchitectureApple Silicon
Process Node5nm enhanced (TSMC N5P)

Memory

Memory Bandwidth200 GB/s

Power

Power ConnectorNone

Host interface

PCIe GenerationNot Applicable

FAQs

What are the key specifications of the Apple M2 Pro 16-Core GPU (Integrated Graphics/Apple Silicon 5nm/16-Core GPU/Up to 32GB Unified Memory/Not PC-Installable)?

Key specs for the Apple M2 Pro 16-Core GPU: Memory Bandwidth 200 GB/s, GPU Apple M2 Pro (integrated, binned config), Process Node 5nm enhanced (TSMC N5P), Paired CPU Config 10-core CPU (6P+4E), Memory Type Unified LPDDR5, Max Unified Memory 32GB.

Who is the Apple M2 Pro 16-Core GPU (Integrated Graphics/Apple Silicon 5nm/16-Core GPU/Up to 32GB Unified Memory/Not PC-Installable) best suited to?

Best suited to: Everyday creative professionals editing photos and video in Metal-accelerated Adobe or Apple apps; Software developers compiling and testing locally who benefit from the full 32GB memory ceiling; Users who want M2 Pro-class memory bandwidth without paying for the full 19-core GPU.

What are the drawbacks of the Apple M2 Pro 16-Core GPU (Integrated Graphics/Apple Silicon 5nm/16-Core GPU/Up to 32GB Unified Memory/Not PC-Installable)?

Not the best fit for: Sustained GPU-bound 3D rendering or dense VFX work, where the full 19-core M2 Pro pulls ahead; Workloads specifically requiring CUDA acceleration or NVIDIA driver certification; Native Windows gaming.

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