Up to 24 GB unified memory at 100 GB/s. Comfortably fits 7–8B models at Q4 with room for the OS. Common in the MacBook Air and Mac mini.
| VRAM | 24 GB unified memory |
| Memory Bandwidth | 100 GB/s |
| TDP | 20 W |
| Architecture | ARM, 5nm TSMC |
| Release Year | 2022 |
| MSRP at Launch | $1,099 |
| Inference Speed (Llama 3.1 8B Q4_K_M) | ~30 tokens/sec |
All models below run comfortably in 24 GB unified memory with Q4_K_M quantization.
| Llama 3.1 Family | 6 GB VRAM · Q4_K_M · ollama run llama3.1 |
| Llama 3.2 Family | 8 GB VRAM · Q4_K_M · ollama run llama3.2-vision:11b |
| Qwen 2.5 Family | 20 GB VRAM · Q4_K_M · ollama run qwen2.5-coder:32b |
| Gemma 2 Family | 8 GB VRAM · Q4_K_M · ollama run gemma2 |
| Phi-4 Mini | 2 GB VRAM · Q4_K_M · ollama run phi4-mini |
| Mistral Family | 16 GB VRAM · Q4_K_M · ollama run mistral-small |
| SmolLM2 | 1 GB VRAM · Q4_K_M · ollama run smollm2:1.7b |
Install Ollama then run the recommended model for this GPU:
ollama run llama3.2:3b
Yes — the Apple M2 has 24 GB unified memory and runs Up to 24 GB unified memory at 100 GB/s. Comfortably fits 7–8B models at Q4 with room for the OS. Common in the MacBook A
The Apple M2 runs Llama 3.1 8B at ~30 tokens/sec with Q4_K_M quantization.
With 24 GB you can run: Llama 3.1 Family, Llama 3.2 Family, Qwen 2.5 Family, Gemma 2 Family, Phi-4 Mini. Use Ollama for the easiest setup: ollama run llama3.2:3b.
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