Up to 128 GB unified memory acts as VRAM — can run any quantized model. 35W TDP is extraordinary. Silent, fast, and runs 70B models at 38 t/s. Best all-around for Mac users.
| VRAM | 128 GB unified memory |
| Memory Bandwidth | 546 GB/s |
| TDP | 35 W |
| Architecture | ARM, 3nm TSMC |
| Release Year | 2024 |
| MSRP at Launch | $3,499 |
| Inference Speed (Llama 3.1 8B Q4_K_M) | ~110 tokens/sec |
| Inference Speed (Llama 3.3 70B Q4_K_M) | ~38 tokens/sec |
All models below run comfortably in 128 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 |
| Llama 4 | 67 GB VRAM · Q4_K_M · ollama run llama4:scout |
| DeepSeek R1 | 20 GB VRAM · Q4_K_M · ollama run deepseek-r1:32b |
| Qwen 3 | 80 GB VRAM · Q4_K_M · ollama run qwen3:235b-a22b |
| 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 llama4:scout
Yes — the Apple M4 Max has 128 GB unified memory and runs Up to 128 GB unified memory acts as VRAM — can run any quantized model. 35W TDP is extraordinary. Silent, fast, and runs
The Apple M4 Max runs Llama 3.1 8B at ~110 tokens/sec with Q4_K_M quantization. For the 70B model it achieves ~38 tokens/sec.
With 128 GB you can run: Llama 3.3, Llama 3.1 Family, Llama 4, DeepSeek R1, Qwen 3. Use Ollama for the easiest setup: ollama run llama4:scout.
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