Deepseek AI Deepseek R1 Distill Qwen 1.5B speed on Apple M2 Pro and quantization-level VRAM fit.
Apple M2 Pro meets the minimum VRAM requirement for Q4 inference of Deepseek AI Deepseek R1 Distill Qwen 1.5B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
Apple M2 Pro can run Deepseek AI Deepseek R1 Distill Qwen 1.5B with Q4 quantization. At approximately 40 tokens/second, you can expect Moderate speed - useful for batch processing.
You have 31GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 1GB | 32GB | 40.26 tok/s | ✅ Fits comfortably |
| Q8 | 2GB | 32GB | 28.18 tok/s | ✅ Fits comfortably |
| FP16 | 4GB | 32GB | 15.30 tok/s | ✅ Fits comfortably |
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Apple M2 Pro can run Deepseek AI Deepseek R1 Distill Qwen 1.5B at Q4 with an estimated 40 tok/s.
Q4 inference is estimated to need about 1GB VRAM on this page, while Apple M2 Pro has 32GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.