Qwen2.5 14B Instruct › Apple M3 Max (30-core GPU)
Qwen2.5 14B Instruct on the Apple M3 Max (30-core GPU)
Best measured: 20.1 tokens/s generation and 227 tokens/s prompt processing (Q4_K_M, llamafile).
For comparison, our size-scaling estimate for this combination is 29.3 tok/s.
Every run
| Quant | Backend | Generate tok/s | Prompt tok/s | Test | Build / by / notes | Source |
|---|---|---|---|---|---|---|
| Q4_K_M | llamafile | 20.8 | 239 | LocalScore avg | LocalScore rank 109/418 | LocalScore (localscore.ai) |
| Q4_K_M | llamafile | 19.4 | 216 | LocalScore avg | LocalScore rank 117/418 | LocalScore (localscore.ai) |
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.
No card yet?
Try it on a rented GPU (RunPod)Affiliate link: if you sign up, RigBench may earn a referral credit. It never affects rankings or numbers.
All results for the Apple M3 Max (30-core GPU) · Qwen2.5 14B Instruct on other hardware