Apple Mac Mini (M4 Pro)
No editorial image yet — generic vendor mark shown. Credentials in spec table below.
The sweet-spot local-AI desktop for most people. M4 Pro with 24/48/64GB unified memory at 273 GB/s — more than double the base M4's bandwidth. A 64GB config runs 70B-class models that no single consumer GPU fits, at 30-40W, silently.
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Sub-scores sum to 485 / 1000. Headline = 485 × 0.70 (Estimated-confidence discount) = 340. 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 273 GB/s bandwidth — 38.2 tok/s estimated. No measured benchmarks yet.
Plain-English: Workable at 32B, comfortable at 14B and below — coding agent feels deliberate; vision models supported.
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 Pro Mac Mini is the value champion of local inference. The 273 GB/s memory bandwidth (vs 120 on the base M4) roughly doubles token-generation speed, and the 64GB option fits 70B-class models at Q4 — something that otherwise requires a $1,600+ RTX 5090 (32GB, still too small for 70B alone) or a multi-GPU rig. It does this at 30-40W in near silence, which makes it a phenomenal always-on inference server or agentic-workload box. MLX and Ollama are both first-class on Apple Silicon.
Where it struggles
Prompt-processing (prefill) on Apple Silicon trails NVIDIA badly — long-context or RAG workloads with big prompts feel slower than the token/s numbers suggest, because TTFT is compute-bound and Apple's GPU compute is modest next to a 4090/5090. There's also no CUDA, so the slice of tooling that's CUDA-only (some fine-tuning, TensorRT, a few research repos) is off the table.
Bottom line
For pure local inference up to 70B, the 64GB M4 Pro Mac Mini is arguably the best price/capability machine you can buy — better fit than any single consumer GPU. Skip it only if you need CUDA, fast prefill on huge prompts, or training.
Overview
The sweet-spot local-AI desktop for most people. M4 Pro with 24/48/64GB unified memory at 273 GB/s — more than double the base M4's bandwidth. A 64GB config runs 70B-class models that no single consumer GPU fits, at 30-40W, silently.
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Specs
| System RAM (typical) | 48 GB |
| Power draw (peak) | 90 W |
| Released | 2024 |
| MSRP | $1399 |
| Backends | Metal MLX |
Models that fit
Open-weight models small enough to run on Apple Mac Mini (M4 Pro) with usable context.
Frequently asked
Does Apple Mac Mini (M4 Pro) support CUDA?
Where next?
Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify hardware specifications.