Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026
24–48 GB zunifikowanej pamięci pokrywa większość codziennych zadań AI. Całkowite zużycie systemu 30W. Idealny dla użytkowników laptopów chcących poważnego AI bez karty graficznej.
| 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) | 17–35 tok/s (estimated) |
| Inference Speed (Llama 3.3 70B Q4_K_M) | Does not fit — needs ~44 GB of 18 GB usable |
or compare on Vast.ai from $0.35/hr (typical low · varies)
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All models below run comfortably in 24 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 · 7 GB VRAM · Q4_K_M · llama-3-2 |
| 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 |
| 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 |
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 zunifikowanej pamięci pokrywa większość codziennych zadań AI. Całkowite zużycie systemu 30W. Idealny dla użytko
The Apple M4 Pro is estimated to run Llama 3.1 8B at 17–35 tok/s with Q4_K_M quantization. Llama 3.3 70B does not fit: it needs about 44 GB against 18 GB usable. These are modelled estimates, not measurements — see /en/methodology.
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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