Apple M1
Figures assume the 16 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 | 20–27 tok/s (estimate) | no community data |
| DeepSeek-R1-Distill-Qwen-1.5B deepseek-ai | Q4_K_M Runs fully on GPU @ 8K ctx | 89–118 tok/s (estimate) | no community data |
| DeepSeek-R1-Distill-Qwen-14B deepseek-ai | Q4_K_M Runs fully on GPU @ 8K ctx | 11–15 tok/s (estimate) | no community data |
| DeepSeek-R1-Distill-Qwen-7B deepseek-ai | Q4_K_M Runs fully on GPU @ 8K ctx | 23–31 tok/s (estimate) | no community data |
| Mistral-Small-3.2-24B-Instruct-2506 mistralai | Q4_K_M Runs fully on GPU @ 8K ctx | 8–11 tok/s (estimate) | no community data |
| Qwen2.5-7B-Instruct Qwen | Q4_K_M Runs fully on GPU @ 8K ctx | 11–15 tok/s (estimate) | no community data |
| Qwen3-8B Qwen | Q4_K_M Runs fully on GPU @ 8K ctx | 19–26 tok/s (estimate) | no community data |
| gemma-4-12B-it google | Q4_K_M Runs fully on GPU @ 8K ctx | 17–22 tok/s (estimate) | no community data |
| gemma-4-E2B-it google | Q4_K_M Runs fully on GPU @ 8K ctx | 39–52 tok/s (estimate) | no community data |
| gemma-4-E4B-it google | Q4_K_M Runs fully on GPU @ 8K ctx | 24–32 tok/s (estimate) | no community data |
| gpt-oss-20b openai | F16 Runs fully on GPU @ 8K ctx | 35–46 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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