Apple M4 (10-core GPU, 24GB) × Phi-4 14B
Can the Apple M4 (10-core GPU, 24GB) run Phi-4 14B?
Yes, usable
Yes. The Apple M4 (10-core GPU, 24GB) can run Phi-4 14B at up to Q8_0 (needs ~17.7 GB at 4K context of 18.0 GB usable), at an estimated ~10.3 tokens/sec at Q4_K_M.
Speed is estimated from memory bandwidth calibrated with a measured 24.11 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 | ✅ | ~12.9 |
| Q4_K_M | 11.7 GB | ✅ | ~10.3 |
| Q5_K_M | 13.3 GB | ✅ | ~8.8 |
| Q6_K | 15.0 GB | ✅ | ~7.6 |
| Q8_0 | 18.6 GB | ✅ at 4K ctx | ~5.9 |
| F16 | 32.8 GB | ❌ | — |
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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