Up to 128 GB unified memory. Very popular among AI developers. 95 t/s on 8B, 28 t/s on 70B models. Available as MacBook Pro or Mac Studio.
| VRAM | 64 GB unified memory |
| Memory Bandwidth | 400 GB/s |
| TDP | 35 W |
| Architecture | ARM, 3nm TSMC |
| Release Year | 2023 |
| MSRP at Launch | $2,499 |
| Inference Speed (Llama 3.1 8B Q4_K_M) | ~95 tokens/sec |
| Inference Speed (Llama 3.3 70B Q4_K_M) | ~28 tokens/sec |
All models below run comfortably in 64 GB unified memory with Q4_K_M quantization.
| Llama 3.3 | 43 GB VRAM · Q2_K_XS (Tight) · ollama run llama3.3 |
| Llama 3.1 Family | 6 GB VRAM · Q4_K_M · ollama run llama3.1 |
| DeepSeek R1 | 20 GB VRAM · Q4_K_M · ollama run deepseek-r1:32b |
| Qwen 3 | 20 GB VRAM · Q4_K_M · ollama run qwen3:32b |
| Gemma 3 | 17 GB VRAM · Q4_K_M · ollama run gemma3:27b |
| Mistral Small 3.1 | 14 GB VRAM · Q4_K_M · ollama run mistral-small3.1 |
| Phi-4 Family | 9 GB VRAM · Q4_K_M · ollama run phi4 |
Install Ollama then run the recommended model for this GPU:
ollama run llama3.3:70b
Yes — the Apple M3 Max has 64 GB unified memory and runs Up to 128 GB unified memory. Very popular among AI developers. 95 t/s on 8B, 28 t/s on 70B models. Available as MacBook
The Apple M3 Max runs Llama 3.1 8B at ~95 tokens/sec with Q4_K_M quantization. For the 70B model it achieves ~28 tokens/sec.
With 64 GB you can run: Llama 3.3, Llama 3.1 Family, DeepSeek R1, Qwen 3, Gemma 3. Use Ollama for the easiest setup: ollama run llama3.3:70b.
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