Microsoft Phi 4 speed on RX 7900 GRE and quantization-level VRAM fit.
RX 7900 GRE meets the minimum VRAM requirement for Q4 inference of Microsoft Phi 4. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RX 7900 GRE can run Microsoft Phi 4 with Q4 quantization. At approximately 68 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 8GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 8GB | 16GB | 68.40 tok/s | ✅ Fits comfortably |
| Q8 | 15GB | 16GB | 47.88 tok/s | ⚠️ Tight fit |
| FP16 | 30GB | 16GB | 25.99 tok/s | ❌ Not recommended |
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RX 7900 GRE can run Microsoft Phi 4 at Q4 with an estimated 68 tok/s.
Q4 inference is estimated to need about 8GB VRAM on this page, while RX 7900 GRE has 16GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.