Apple Mac Mini (M4)
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The cheapest entry into Apple unified memory and the most-recommended starter box for local AI. Base M4 with 16/24/32GB unified memory at 120 GB/s, in a tiny ~30-65W package. Runs 8B models comfortably and 14B at usable speeds; the 32GB config stretches to ~30B-class quantized.
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Sub-scores sum to 350 / 1000. Headline = 350 × 0.70 (Estimated-confidence discount) = 245. This is an algorithmic performance-tier score — distinct from, and often lower than, the editorial “Our verdict” below, which weighs value and real-world fit (especially for hardware we haven’t measured yet). How scoring works →
Extrapolated from 120 GB/s bandwidth — 16.8 tok/s estimated. No measured benchmarks yet.
Plain-English: Edge-of-fit for 7B; expect compromises.
Verdicts extrapolated from catalog VRAM + bandwidth + ecosystem flags. Hover any chip for the rationale. Want measured numbers? Submit your own run with runlocalai-bench --submit.
What it does well
The M4 Mac Mini is the single best on-ramp to local AI for someone who doesn't already own a GPU. For $599 you get a silent, ~30-65W machine that runs Llama 3.1 8B and Qwen2.5 7B at genuinely usable speeds via Ollama or MLX, and the unified-memory architecture means the whole RAM pool is addressable by the GPU — no 8GB-VRAM wall like a budget discrete card. Spec it to 24GB or 32GB and you comfortably run 14B models and reach into 30B-class territory at Q4, which no similarly-priced consumer GPU can fit.
Where it struggles
Memory bandwidth (120 GB/s) is the ceiling: token-generation speed on larger models is bandwidth-bound and noticeably slower than the M4 Pro's 273 GB/s or any desktop GPU. The base 16GB config is tight once you account for the OS — treat 24GB as the real floor for serious local work, and pay attention to Apple's steep memory-upgrade pricing.
Bottom line
The default recommendation for a first local-AI machine: cheap, silent, efficient, and unified memory beats VRAM-starved budget GPUs for fitting mid-size models. Buy the M4 Pro instead if token speed on 14B+ matters to you.
Overview
The cheapest entry into Apple unified memory and the most-recommended starter box for local AI. Base M4 with 16/24/32GB unified memory at 120 GB/s, in a tiny ~30-65W package. Runs 8B models comfortably and 14B at usable speeds; the 32GB config stretches to ~30B-class quantized.
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Specs
| System RAM (typical) | 16 GB |
| Power draw (peak) | 65 W |
| Released | 2024 |
| MSRP | $599 |
| Backends | Metal MLX |
Models that fit
Open-weight models small enough to run on Apple Mac Mini (M4) with usable context.
Frequently asked
Does Apple Mac Mini (M4) support CUDA?
Where next?
Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify hardware specifications.