Up to 32 GB unified memory at 120 GB/s. Fits 7–8B models with room for larger context windows, and can run some 13–14B models at aggressive quantization. Ships in the MacBook Air, Mac mini, iMac, and iPad Pro.
| VRAM | 32 GB unified memory |
| Memory Bandwidth | 120 GB/s |
| TDP | 22 W |
| Architecture | ARM, 3nm TSMC |
| Release Year | 2024 |
| MSRP at Launch | $999 |
| Inference Speed (Llama 3.1 8B Q4_K_M) | ~38 tokens/sec |
All models below run comfortably in 32 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 3.2 Family | Llama 3.2 11B Vision Instruct · 8 GB VRAM · Q4_K_M · ollama run llama3.2-vision:11b |
| Qwen 3 | Qwen 3 32B · 20 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 |
| Phi-4 Mini | Phi-4 Mini (3.8B) · 3 GB VRAM · Q4_K_M · ollama run phi4-mini |
| Mistral Family | Mistral Small 3 (24B) · 15 GB VRAM · Q4_K_M · ollama run mistral-small |
| DeepSeek R1 | DeepSeek R1 Distill Qwen 32B · 20 GB VRAM · Q4_K_M · ollama run deepseek-r1:32b |
| SmolLM2 | SmolLM2 1.7B Instruct · 1 GB VRAM · Q4_K_M · ollama run smollm2:1.7b |
Install Ollama then run the recommended model for this GPU:
ollama run llama3.1:8b
Yes — the Apple M4 has 32 GB unified memory and runs Up to 32 GB unified memory at 120 GB/s. Fits 7–8B models with room for larger context windows, and can run some 13–14B m
The Apple M4 runs Llama 3.1 8B at ~38 tokens/sec with Q4_K_M quantization.
With 32 GB you can run: Llama 3.1 Family, Llama 3.2 Family, Qwen 3, Gemma 3, Phi-4 Mini. Use Ollama for the easiest setup: ollama run llama3.1:8b.
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