Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026
Do 64 GB pamięci zunifikowanej przy 307 GB/s — dwukrotność limitu pamięci M4 Pro. Wydany w marcu 2026 w MacBookach Pro 14"/16". Wygodnie mieści modele 32B w Q4.
| VRAM | 64 GB unified memory |
| Memory Bandwidth | 307 GB/s |
| TDP | 30 W |
| Architecture | ARM, 3nm TSMC |
| Release Year | 2026 |
| MSRP at Launch | $1,999 |
| Inference Speed (Llama 3.1 8B Q4_K_M) | 19–39 tok/s (estimated) |
| Inference Speed (Llama 3.3 70B Q4_K_M) | 2.5–5.1 tok/s (estimated) |
or compare on Vast.ai from $0.77/hr (typical low · varies)
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All models below run comfortably in 64 GB unified memory with Q4_K_M quantization.
| Llama 3.1 Family | Llama 3.1 8B Instruct · 6 GB VRAM · Q4_K_M · ollama run llama3.1 |
| Llama 3.3 | Llama 3.3 70B Instruct · 43 GB VRAM · Q4_K_M · ollama run llama3.3 |
| Qwen 3 | Qwen 3 32B · 21 GB VRAM · Q4_K_M · ollama run qwen3:32b |
| Qwen3-Coder | Qwen3-Coder 80B-A3B (MoE) · 49 GB VRAM · Q4_K_M · ollama run qwen3-coder:80b-a3b-q4 |
| Gemma 3 | Gemma 3 27B Instruct · 17 GB VRAM · Q4_K_M · ollama run gemma3:27b |
| Phi-4 Family | Phi-4 (14B) · 9 GB VRAM · Q4_K_M · ollama run phi4 |
| Phi-4 Mini | Phi-4 Mini (3.8B) · 3 GB VRAM · Q4_K_M · ollama run phi4-mini |
| Mistral Small 3.1 | Mistral Small 3.1 24B · 15 GB VRAM · Q4_K_M · ollama run mistral-small3.1 |
Install Ollama then run the recommended model for this GPU:
ollama run qwen3:14b
Yes — the Apple M5 Pro has 64 GB unified memory and runs Do 64 GB pamięci zunifikowanej przy 307 GB/s — dwukrotność limitu pamięci M4 Pro. Wydany w marcu 2026 w MacBookach Pro 1
The Apple M5 Pro is estimated to run Llama 3.1 8B at 19–39 tok/s with Q4_K_M quantization. For Llama 3.3 70B the estimate is 2.5–5.1 tok/s. These are modelled estimates, not measurements — see /en/methodology.
With 64 GB you can run: Llama 3.1 Family, Llama 3.3, Qwen 3, Qwen3-Coder, Gemma 3. Use Ollama for the easiest setup: ollama run qwen3:14b.
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