Microsoft Phi 4 Multimodal Instruct speed on AMD Ryzen AI Max+ 395 and quantization-level VRAM fit.
AMD Ryzen AI Max+ 395 meets the minimum VRAM requirement for Q4 inference of Microsoft Phi 4 Multimodal Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
AMD Ryzen AI Max+ 395 can run Microsoft Phi 4 Multimodal Instruct 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 | 8GB | 128GB | 13.87 tok/s | ✅ Fits comfortably |
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AMD Ryzen AI Max+ 395 can run Microsoft Phi 4 Multimodal Instruct 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+ 395 has 128GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.