Apple M5 Pro (20-core GPU, 64GB) × Phi-4 14B
Can the Apple M5 Pro (20-core GPU, 64GB) run Phi-4 14B?
Yes
Yes. The Apple M5 Pro (20-core GPU, 64GB) can run Phi-4 14B at up to F16 (needs ~32.8 GB of 48.0 GB usable), at an estimated ~28.4 tokens/sec at Q4_K_M.
Speed is estimated from memory bandwidth calibrated with a measured 66.33 tok/s Llama 2 7B Q4_0 result (source). No direct public benchmark of this exact pair is recorded yet.
By quantization (8K context)
| Quant | Memory needed | Fits? | Est. tok/s |
|---|---|---|---|
| Q3_K_M | 9.9 GB | ✅ | ~35.4 |
| Q4_K_M | 11.7 GB | ✅ | ~28.4 |
| Q5_K_M | 13.3 GB | ✅ | ~24.2 |
| Q6_K | 15.0 GB | ✅ | ~20.9 |
| Q8_0 | 18.6 GB | ✅ | ~16.2 |
| F16 | 32.8 GB | ✅ | ~8.6 |
Fastest hardware for Phi-4 14B
- NVIDIA GeForce RTX 5090 — ~124 tok/s at Q4_K_M
- NVIDIA GeForce RTX 4090 — ~79.9 tok/s at Q4_K_M
- AMD Radeon RX 7900 XTX — ~79.1 tok/s at Q4_K_M
- NVIDIA GeForce RTX 5080 — ~78.1 tok/s at Q4_K_M
- NVIDIA GeForce RTX 5070 Ti — ~75.9 tok/s at Q4_K_M
No suitable GPU? Rent one by the hour on Vast.ai or RunPod (affiliate links).
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