Inference Net Schematron 3B 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 Inference Net Schematron 3B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
AMD Ryzen AI Max Pro 385 can run Inference Net Schematron 3B with Q4 quantization. At approximately 37 tokens/second, you can expect Moderate speed - useful for batch processing.
You have 126GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 2GB | 128GB | 36.50 tok/s | ✅ Fits comfortably |
| Q8 | 4GB | 128GB | 25.55 tok/s | ✅ Fits comfortably |
| FP16 | 7GB | 128GB | 13.87 tok/s | ✅ Fits comfortably |
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AMD Ryzen AI Max Pro 385 can run Inference Net Schematron 3B at Q4 with an estimated 37 tok/s.
Q4 inference is estimated to need about 2GB 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.