Microsoft Phi 4 Multimodal Instruct speed on RX 7900 XTX and quantization-level VRAM fit.
RX 7900 XTX 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.
RX 7900 XTX can run Microsoft Phi 4 Multimodal Instruct with Q4 quantization. At approximately 145 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 22GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 2GB | 24GB | 145.45 tok/s | ✅ Fits comfortably |
| Q8 | 4GB | 24GB | 101.81 tok/s | ✅ Fits comfortably |
| FP16 | 8GB | 24GB | 55.27 tok/s | ✅ Fits comfortably |
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RX 7900 XTX can run Microsoft Phi 4 Multimodal Instruct at Q4 with an estimated 145 tok/s.
Q4 inference is estimated to need about 2GB VRAM on this page, while RX 7900 XTX has 24GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.