Apple M4 Pro (20-core GPU, 48GB) × DeepSeek R1 Distill Qwen 32B
Can the Apple M4 Pro (20-core GPU, 48GB) run DeepSeek R1 Distill Qwen 32B?
Yes, usable
Yes. The Apple M4 Pro (20-core GPU, 48GB) can run DeepSeek R1 Distill Qwen 32B at up to Q6_K (needs ~30.8 GB of 36.0 GB usable), at an estimated ~9.8 tokens/sec at Q4_K_M.
Speed is estimated from memory bandwidth calibrated with a measured 50.74 tok/s Llama 2 7B Q4_0 result (source). No direct public benchmark of this exact pair is recorded yet.
By quantization (8K context)
| Quant | Memory needed | Fits? | Est. tok/s |
|---|---|---|---|
| Q3_K_M | 19.4 GB | ✅ | ~12.1 |
| Q4_K_M | 23.4 GB | ✅ | ~9.8 |
| Q5_K_M | 27.0 GB | ✅ | ~8.3 |
| Q6_K | 30.8 GB | ✅ | ~7.2 |
| Q8_0 | 38.8 GB | ❌ | — |
| F16 | 70.5 GB | ❌ | — |
Fastest hardware for DeepSeek R1 Distill Qwen 32B
- NVIDIA GeForce RTX 5090 — ~55.7 tok/s at Q4_K_M
- NVIDIA GeForce RTX 4090 — ~35.8 tok/s at Q4_K_M
- AMD Radeon RX 7900 XTX — ~35.4 tok/s at Q4_K_M
- NVIDIA GeForce RTX 3090 Ti — ~32.9 tok/s at Q4_K_M
- NVIDIA GeForce RTX 3090 — ~30.4 tok/s at Q4_K_M
No suitable GPU? Rent one by the hour on Vast.ai or RunPod (affiliate links).
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