
Apple M2 Pro 16-Core GPU
Expert rating6.5 / 10
- 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
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 meanIdentity and type
| Product Type | SoC GPU |
|---|---|
| GPU Brand | Apple |
| GPU Model | M2 Pro 16-Core GPU |
| Series | Apple Silicon |
| Tier | Upper Mid-Range |
Performance
| Memory Type | Unified LPDDR5 |
|---|---|
| Ray Tracing Support | No |
Silicon
| Architecture | Apple Silicon |
|---|---|
| Process Node | 5nm enhanced (TSMC N5P) |
Memory
| Memory Bandwidth | 200 GB/s |
|---|
Power
| Power Connector | None |
|---|
Host interface
| PCIe Generation | Not 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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