Microsoft Phi 4 Multimodal Instruct speed on Apple M3 Pro and quantization-level VRAM fit.
Apple M3 Pro 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.
Apple M3 Pro can run Microsoft Phi 4 Multimodal Instruct with Q4 quantization. At approximately 20 tokens/second, you can expect Moderate speed - useful for batch processing.
You have 34GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 2GB | 36GB | 20.14 tok/s | ✅ Fits comfortably |
| Q8 | 4GB | 36GB | 14.10 tok/s | ✅ Fits comfortably |
| FP16 | 8GB | 36GB | 7.65 tok/s | ✅ Fits comfortably |
Check current pricing links for Apple M3 Pro and similar cards.
Open Apple M3 Pro buy links →Use workload-focused recommendations before committing to a purchase.
Browse best GPU guides →Compare complete systems if you want ready-to-run hardware.
Compare prebuilt systems →Rent cloud GPUs by the hour — no upfront hardware cost.
Apple M3 Pro can run Microsoft Phi 4 Multimodal Instruct at Q4 with an estimated 20 tok/s.
Q4 inference is estimated to need about 2GB VRAM on this page, while Apple M3 Pro has 36GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.