Qwen2.5 Coder 7B › Apple M2 Ultra
Qwen2.5 Coder 7B on the Apple M2 Ultra
Best measured: 79.7 tokens/s generation and 1,566 tokens/s prompt processing (Q8_0, Metal, FA on).
Every run
| Quant | Backend | Generate tok/s | Prompt tok/s | Test | Build / by / notes | Source |
|---|---|---|---|---|---|---|
| Q8_0 | Metal FA on | 79.7 | 1,566 | tg32 | ggml-org maintainers Benchmarked repo: https://huggingface.co/ggml-org/Qwen2.5-Coder-7B-Q8_0-GGUF; chip named only by the file's directory (M2 Ultra), GPU core count not stated | llama.cpp benches/ (maintainer runs) |
tg128 = generating 128 tokens; pp512 = reading a 512-token prompt (llama-bench). LocalScore averages several prompt and output lengths, so its numbers run lower than tg128.
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