Apple M3
Figures assume the 512 GB unified memory pool shared between CPU and GPU. "What runs on it" is judged at a 8,192-token context. Speeds are estimates, not measurements.
| Model | Sweet-spot quant | Est. speed | Community |
|---|---|---|---|
| DeepSeek-R1-Distill-Llama-8B deepseek-ai | Q4_K_M Runs fully on GPU @ 8K ctx | 82–109 tok/s (estimate) | no community data |
| DeepSeek-R1-Distill-Qwen-1.5B deepseek-ai | Q4_K_M Runs fully on GPU @ 8K ctx | 363–485 tok/s (estimate) | no community data |
| DeepSeek-R1-Distill-Qwen-14B deepseek-ai | Q4_K_M Runs fully on GPU @ 8K ctx | 46–62 tok/s (estimate) | no community data |
| DeepSeek-R1-Distill-Qwen-32B deepseek-ai | Q4_K_M Runs fully on GPU @ 8K ctx | 22–30 tok/s (estimate) | no community data |
| DeepSeek-R1-Distill-Qwen-7B deepseek-ai | Q4_K_M Runs fully on GPU @ 8K ctx | 95–127 tok/s (estimate) | no community data |
| Mistral-Small-3.2-24B-Instruct-2506 mistralai | Q4_K_M Runs fully on GPU @ 8K ctx | 34–46 tok/s (estimate) | no community data |
| Qwen2.5-7B-Instruct Qwen | Q4_K_M Runs fully on GPU @ 8K ctx | 45–60 tok/s (estimate) | no community data |
| Qwen3-30B-A3B-Instruct-2507 Qwen | Q4_K_M Runs fully on GPU @ 8K ctx | 173–230 tok/s (estimate) | no community data |
| Qwen3-32B Qwen | Q4_K_M Runs fully on GPU @ 8K ctx | 22–30 tok/s (estimate) | no community data |
| Qwen3-8B Qwen | Q4_K_M Runs fully on GPU @ 8K ctx | 79–105 tok/s (estimate) | no community data |
| Qwen3-Coder-30B-A3B-Instruct Qwen | Q4_K_M Runs fully on GPU @ 8K ctx | 173–230 tok/s (estimate) | no community data |
| Qwen3.6-27B Qwen | Q4_K_M Runs fully on GPU @ 8K ctx | 26–35 tok/s (estimate) | no community data |
| Qwen3.6-35B-A3B Qwen | Q4_K_M Runs fully on GPU @ 8K ctx | 22–29 tok/s (estimate) | no community data |
| gemma-4-12B-it google | Q4_K_M Runs fully on GPU @ 8K ctx | 69–92 tok/s (estimate) | no community data |
| gemma-4-26B-A4B-it google | Q4_K_M Runs fully on GPU @ 8K ctx | 26–35 tok/s (estimate) | no community data |
| gemma-4-31B-it google | Q4_K_M Runs fully on GPU @ 8K ctx | 27–36 tok/s (estimate) | no community data |
| gemma-4-E2B-it google | Q4_K_M Runs fully on GPU @ 8K ctx | 158–211 tok/s (estimate) | no community data |
| gemma-4-E4B-it google | Q4_K_M Runs fully on GPU @ 8K ctx | 99–132 tok/s (estimate) | no community data |
| gpt-oss-120b openai | F16 Runs fully on GPU @ 8K ctx | 87–116 tok/s (estimate) | no community data |
| gpt-oss-20b openai | F16 Runs fully on GPU @ 8K ctx | 141–189 tok/s (estimate) | no community data |
"Est. speed" is a modelled range labelled estimate (D8) for generation (decode) throughput. "Community" shows the median of approved user-submitted reports on this GPU class only where enough exist — never an estimate. "pp" is measured prompt-processing (ingestion) throughput from approved community reports; rows without a measurement show none.
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