GPUs & Macs › Apple M2 Pro (19-core GPU)
Apple M2 Pro (19-core GPU): local LLM speed
Llama 2 7B (Q4_0) generates 38.9 tokens/s on the Apple M2 Pro (19-core GPU) (Metal), and processes prompts at 341 tokens/s.
Measured results
| Model | Generate tok/s | Prompt tok/s | Quant | Backend | Test | Source |
|---|---|---|---|---|---|---|
| Llama 2 7B | 38.9 | 341 | Q4_0 | Metal FA off | tg128 | llama.cpp #4167 details |
| Llama 2 7B | 23.0 | 344 | Q8_0 | Metal FA off | tg128 | llama.cpp #4167 details |
| Llama 2 7B | 13.1 | 384 | F16 | Metal FA off | tg128 | llama.cpp #4167 details |
| Llama 3.2 1B Instruct | 99.9 | 1,473 | Q4_K_M | llamafile | LocalScore avg · n=2 | LocalScore LocalScore details |
| Llama 3.1 8B Instruct | 26.3 | 262 | Q4_K_M | llamafile | LocalScore avg | LocalScore details |
| Qwen2.5 14B Instruct | 14.1 | 137 | Q4_K_M | llamafile | LocalScore avg | LocalScore details |
What fits on the Apple M2 Pro (19-core GPU)
Estimates for this chip are scaled from a measured run: Llama 2 7B F16 at 13.1 tok/s (Metal, source). Fit assumes the whole model in GPU memory with ~8K context.
With 16 GB unified memory
| Model | Best quant that fits | File | Expected tok/s |
|---|---|---|---|
| Qwen3.8-27B | UD-IQ2_XXS | 7.3 GB | 24.2 estimate |
| gemma-4-12B-it | Q6_K | 9.8 GB | 18.0 estimate |
| Qwen3.5-9B | Q8_0 | 9.5 GB | 18.5 estimate |
| Qwen3.5-4B | Q8_0 | 4.5 GB | 39.3 estimate |
| Qwen3.6-35B-A3B | UD-IQ1_M | 10.0 GB | 102 estimate |
| gemma-4-26B-A4B-it | UD-IQ2_M | 10.0 GB | 57.1 estimate |
| MiMo-V2.6-Distill-Qwen-9B | Q8_0 | 9.5 GB | 18.4 estimate |
| gemma-4-E4B-it | Q8_0 | 8.2 GB | 21.5 estimate |
With 36 GB unified memory
| Model | Best quant that fits | File | Expected tok/s |
|---|---|---|---|
| Qwen3.8-27B | UD-Q6_K | 22.0 GB | 8.0 estimate |
| gemma-4-12B-it | Q8_0 | 12.7 GB | 13.9 estimate |
| Qwen3.5-9B | Q8_0 | 9.5 GB | 18.5 estimate |
| Qwen3.5-4B | Q8_0 | 4.5 GB | 39.3 estimate |
| Qwen3.6-35B-A3B | UD-Q5_K_S | 24.9 GB | 41.2 estimate |
| gemma-4-26B-A4B-it | UD-Q6_K | 23.2 GB | 24.7 estimate |
| MiMo-V2.6-Distill-Qwen-9B | Q8_0 | 9.5 GB | 18.4 estimate |
| gemma-4-E4B-it | Q8_0 | 8.2 GB | 21.5 estimate |
With 64 GB unified memory
| Model | Best quant that fits | File | Expected tok/s |
|---|---|---|---|
| Qwen3.8-27B | Q8_0 | 29.0 GB | 6.1 estimate |
| gemma-4-12B-it | Q8_0 | 12.7 GB | 13.9 estimate |
| Qwen3.5-9B | Q8_0 | 9.5 GB | 18.5 estimate |
| Qwen3.5-4B | Q8_0 | 4.5 GB | 39.3 estimate |
| Qwen3.6-35B-A3B | Q8_0 | 36.9 GB | 27.8 estimate |
| gemma-4-26B-A4B-it | Q8_0 | 26.9 GB | 21.3 estimate |
| MiMo-V2.6-Distill-Qwen-9B | Q8_0 | 9.5 GB | 18.4 estimate |
| gemma-4-E4B-it | Q8_0 | 8.2 GB | 21.5 estimate |
With 128 GB unified memory
| Model | Best quant that fits | File | Expected tok/s |
|---|---|---|---|
| Qwen3.8-27B | Q8_0 | 29.0 GB | 6.1 estimate |
| gemma-4-12B-it | Q8_0 | 12.7 GB | 13.9 estimate |
| Qwen3.5-9B | Q8_0 | 9.5 GB | 18.5 estimate |
| Qwen3.5-4B | Q8_0 | 4.5 GB | 39.3 estimate |
| Qwen3.6-35B-A3B | Q8_0 | 36.9 GB | 27.8 estimate |
| Qwen3.8-Flash-Next | UD-IQ3_XXS | 82.0 GB | 2.1 estimate |
| gemma-4-26B-A4B-it | Q8_0 | 26.9 GB | 21.3 estimate |
| MiMo-V2.6-Distill-Qwen-9B | Q8_0 | 9.5 GB | 18.4 estimate |
Similar hardware
Apple M1 (7-core GPU) · Apple M1 (8-core GPU) · Apple M1 Pro (14-core GPU) · Apple M1 Pro (16-core GPU) · Apple M1 Max (24-core GPU) · Apple M1 Max (32-core GPU) · Apple M1 Ultra (48-core GPU) · Apple M1 Ultra (64-core GPU)