Rig score · mac
Apple M2 (16GB)
Runs 62 of 135 models (46%)
Strong, runs mid-size models up to ~14B.
Biggest it can run: Qwen2.5 Coder 14B
- Grade
- B
- Runnable
- 62
- Total
- 135
- Coverage
- 46%
What Apple M2 (16GB) can run
At 16 GB of unified memory, Apple M2 (16GB) runs 62 of 135 tracked local models, 46% coverage that earns a B. The largest it handles is Qwen2.5 Coder 14B at 14B parameters; anything bigger needs more memory or a lower quantization.
Apple Silicon shares one 16 GB pool between CPU and GPU, so almost all of it is available to a model. MLX and llama.cpp Metal builds give the best speed here; close memory-heavy apps before loading a large model.
Top models on Apple M2 (16GB)
FAQ
What local AI rig score does Apple M2 (16GB) get?
Apple M2 (16GB) scores B: it runs 62 of 135 tracked local LLMs (46%). The biggest it can run is Qwen2.5 Coder 14B.
How big a model can Apple M2 (16GB) run?
Apple M2 (16GB) runs models up to Qwen2.5 Coder 14B (14B parameters) at Q4_K_M. Its memory is shared with the system, so leave a few GB for the OS.
Is Apple M2 (16GB) good for running local LLMs?
Apple Silicon shares one 16 GB pool between CPU and GPU, so almost all of it is available to a model. MLX and llama.cpp Metal builds give the best speed here; close memory-heavy apps before loading a large model.
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Score from coverage of 135 tracked models, estimated with our memory methodology.