Openpipe Qwen3 14B Instruct speed on AMD Ryzen AI Max Pro 385 and quantization-level VRAM fit.
AMD Ryzen AI Max Pro 385 meets the minimum VRAM requirement for Q4 inference of Openpipe Qwen3 14B Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
AMD Ryzen AI Max Pro 385 can run Openpipe Qwen3 14B Instruct with Q4 quantization. At approximately 27 tokens/second, you can expect Moderate speed - useful for batch processing.
You have 121GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 7GB | 128GB | 27.37 tok/s | ✅ Fits comfortably |
| Q8 | 14GB | 128GB | 19.16 tok/s | ✅ Fits comfortably |
| FP16 | 28GB | 128GB | 10.40 tok/s | ✅ Fits comfortably |
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AMD Ryzen AI Max Pro 385 can run Openpipe Qwen3 14B Instruct at Q4 with an estimated 27 tok/s.
Q4 inference is estimated to need about 7GB VRAM on this page, while AMD Ryzen AI Max Pro 385 has 128GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.