Apple Mac Mini M4 (base) vs Beelink SER8 Mini PC for AI
A head-to-head comparison of specs, pricing, and real-world AI performance to help you pick the right hardware.
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Quick Verdict
Both the Apple Mac Mini M4 (base) and Beelink SER8 Mini PC are strong contenders for AI workloads. Your choice should come down to specific workload requirements, budget, and ecosystem preferences. Check the specs comparison below to find the best fit.
Apple Mac Mini M4 (base)
$499 – $799
The cheapest way into Apple unified memory. The base M4 Mac mini is silent, tiny, and great for small local models via Ollama/MLX — but 120 GB/s bandwidth and a 24GB memory ceiling cap it at ~7–14B-class models. A genuine entry point, not a big-model box. Step up to the M4 Pro for 64GB / 273 GB/s.
Beelink SER8 Mini PC
$449 – $599
Budget-friendly mini PC for lightweight AI tasks. AMD Ryzen 7 8845HS with integrated RDNA 3 graphics handles small LLMs, AI agents, and inference workloads in a palm-sized package.
Specs Comparison
| Spec | Apple Mac Mini M4 (base) | Beelink SER8 Mini PC |
|---|---|---|
| Price | $499 – $799 | $449 – $599 |
| Chip | Apple M4 (10-core CPU / 10-core GPU) | — |
| Neural Engine | 16-core | — |
| Unified Memory | 16GB – 24GB | — |
| Memory Bandwidth | 120 GB/s | — |
| Storage | 256GB – 2TB SSD | 1TB NVMe SSD |
| I/O | 3× Thunderbolt 4, HDMI, Gigabit (10GbE option) | — |
| CPU | — | AMD Ryzen 7 8845HS |
| GPU | — | Radeon 780M (RDNA 3) |
| RAM | — | 32GB DDR5-5600 |
| Form Factor | — | 5" x 5" x 2" |
Apple Mac Mini M4 (base)
Pros
- +Cheapest path into unified memory + macOS MLX/Ollama/llama.cpp
- +Silent, tiny, 16-core Neural Engine
- +Excellent single-thread performance
Cons
- -120 GB/s bandwidth caps token throughput on bigger models
- -24GB memory ceiling locks out 30B+ models
- -Soldered RAM, no CUDA — buy the right config the first time
Beelink SER8 Mini PC
Pros
- +Excellent value for lightweight AI inference
- +Near-silent operation
- +Tiny footprint for desk or home lab
Cons
- -No dedicated GPU — limited to small models
- -32GB RAM ceiling on most configs
- -Integrated GPU not suitable for training