作者： Jakub Rusinowski · 最后更新： 2026年7月12日
最高128 GB统一内存充当VRAM——可运行任何量化模型。35W TDP极为出色。静音、快速，70B模型38 t/s。Mac用户的全能之选。
| 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) | 31–64 tok/s (estimated) |
| Inference Speed (Llama 3.3 70B Q4_K_M) | 4.4–9.1 tok/s (estimated) |
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All models below run comfortably in 128 GB unified memory with Q4_K_M quantization.
| Llama 3.3 | Llama 3.3 70B Instruct · 43 GB VRAM · Q4_K_M · ollama run llama3.3 |
| Llama 3.1 Family | Llama 3.1 8B Instruct · 6 GB VRAM · Q4_K_M · ollama run llama3.1 |
| Llama 4 | Llama 4 Scout 17B · 67 GB VRAM · Q4_K_M · ollama run llama4:scout |
| DeepSeek R1 | DeepSeek R1 Distill Qwen 32B · 20 GB VRAM · Q4_K_M · ollama run deepseek-r1:32b |
| Qwen 3 | Qwen 3 32B · 21 GB VRAM · Q4_K_M · ollama run qwen3:32b |
| Gemma 3 | Gemma 3 27B Instruct · 17 GB VRAM · Q4_K_M · ollama run gemma3:27b |
| Mistral Small 3.1 | Mistral Small 3.1 24B · 15 GB VRAM · Q4_K_M · ollama run mistral-small3.1 |
| Phi-4 Family | Phi-4 (14B) · 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 最高128 GB统一内存充当VRAM——可运行任何量化模型。35W TDP极为出色。静音、快速，70B模型38 t/s。Mac用户的全能之选。
The Apple M4 Max is estimated to run Llama 3.1 8B at 31–64 tok/s with Q4_K_M quantization. For Llama 3.3 70B the estimate is 4.4–9.1 tok/s. These are modelled estimates, not measurements — see /en/methodology.
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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