24–48 GB unified memory covers most everyday AI tasks. 30W total system power. Ideal for laptop users who want serious AI without a desktop GPU.
| VRAM | 24 GB unified memory |
| Memory Bandwidth | 273 GB/s |
| TDP | 30 W |
| Architecture | ARM, 3nm TSMC |
| Release Year | 2024 |
| MSRP at Launch | $1,999 |
| Inference Speed (Llama 3.1 8B Q4_K_M) | ~65 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 3 | 20 GB VRAM · Q4_K_M · ollama run qwen3:32b |
| Gemma 3 | 17 GB VRAM · Q4_K_M · ollama run gemma3:27b |
| Phi-4 Mini | 3 GB VRAM · Q4_K_M · ollama run phi4-mini |
| Mistral Family | 15 GB VRAM · Q4_K_M · ollama run mistral-small |
| DeepSeek R1 | 20 GB VRAM · Q4_K_M · ollama run deepseek-r1:32b |
Install Ollama then run the recommended model for this GPU:
ollama run qwen3:14b
Yes — the Apple M4 Pro has 24 GB unified memory and runs 24–48 GB unified memory covers most everyday AI tasks. 30W total system power. Ideal for laptop users who want serious A
The Apple M4 Pro runs Llama 3.1 8B at ~65 tokens/sec with Q4_K_M quantization.
With 24 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 qwen3:14b.
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