Apple Mac Mini (M4, 2024)
The Apple Mac Mini M4 is the most affordable path to Apple Silicon AI inference in 2026. With 16GB of unified memory at 120 GB/s bandwidth and a 10-core CPU, it runs 7B models at 40–60 tokens/second via Ollama — faster than any competing mini PC at the same price.
MEMORY
16 GB
BANDWIDTH
120 GB/s
TDP
20W
MAX LLM
13B (Q4 quantized)
RATING
4.7/5.0
Bottom Line
The Apple Mac Mini M4 is the most affordable path to Apple Silicon AI inference in 2026. With 16GB of unified memory at 120 GB/s bandwidth and a 10-core CPU, it runs 7B models at 40–60 tokens/second via Ollama — faster than any competing mini PC at the same price.
What Can You Run on This?
- ✓Local LLM inference for 7B models (Llama 3, Phi-3, Gemma)
- ✓Always-on home AI assistant server
- ✓On-device coding companion (Continue.dev)
- ✓Light Stable Diffusion inference (SD 1.5, SDXL slow)
Full Specifications
| Chip / Processor | Apple M4 |
|---|---|
| CPU Cores | 10 |
| GPU Cores | 10 |
| Unified Memory | 16 GB |
| Memory Bandwidth | 120 GB/s |
| Storage | 256 GB |
| TDP (Power Draw) | 20W |
| Max LLM Size | 13B (Q4 quantized) |
| Form Factor | Mini PC |
Pros & Cons
Pros
- +Lowest cost Apple Silicon entry point for local AI
- +16GB unified memory is enough for all 7B and most 13B Q4 models
- +20W TDP — cheapest to run 24/7 of any AI-capable machine
- +Silent — fanless under light-to-moderate AI workloads
- +Native Ollama and llama.cpp Metal support
Cons
- −16GB ceiling limits 13B performance and rules out 34B+ models
- −120 GB/s bandwidth (vs 273 GB/s on M4 Pro) means noticeably slower 13B inference
- −10-core GPU less capable for Stable Diffusion vs M4 Pro
- −Non-upgradeable memory — buy the right configuration upfront
Our Verdict
The Mac Mini M4 base model is the ideal entry-level AI machine for users who primarily run 7B models and want the Apple Silicon experience at the lowest cost. It runs Ollama out of the box, handles most popular LLMs, and consumes only 20W — making it practical to leave on 24/7 as a home AI server. If you anticipate running 13B+ models frequently, spend more and get the M4 Pro; otherwise, this is outstanding value.
Frequently Asked Questions
Q1What is the difference between the Mac Mini M4 and M4 Pro for AI?
The M4 Pro has 14 CPU cores (vs 10), 20 GPU cores (vs 10), 273 GB/s memory bandwidth (vs 120 GB/s), and scales to 64GB RAM (vs 32GB max). In practice, the M4 Pro runs 13B models about 2x faster and is the only base Mac Mini option capable of 70B models (with 64GB upgrade). The base M4 is better for 7B-focused workflows.
Q2Can the Mac Mini M4 run Stable Diffusion?
Yes, but moderately. SD 1.5 at 512×512 runs at 6–10 it/s. SDXL is slow (20–40 seconds per image). For serious image generation, the M4 Pro or a discrete GPU like the RTX 4070 Super is significantly better. The M4 base is adequate for occasional use but not production workflows.
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