ACEMAGIC F9A vs Mac mini M4
Side-by-side specification comparison with AI model-fit analysis. Data sourced from manufacturer specs, verified 2026-07-21.
|
ACEMAGIC F9A (Ryzen AI Max+ PRO 495) ACEMAGIC |
Mac mini M4 (Base) Apple |
|
|---|---|---|
| Price | $5,999MSRP | $799MSRP |
| AI Framework | — | MLX, CoreML, llama.cpp |
| CPU Cores | — | 10 |
| Ethernet | — | 1GbE |
| GPU Compute Units | — | 10 |
| GPU | — | Apple M4 GPU |
| Memory Bandwidth (GB/s) | — | 120 |
| Memory Bus Width | — | 128-bit |
| Memory (GB) | 192 | 16 |
| Memory Type | LPDDR5x-8533 | Unified LPDDR5X |
| Memory Upgradeable | — | No (unified memory) |
| NPU TOPS | — | 38 |
| OCuLink / PCIe | — | No |
| OS Support | — | macOS |
| pcie interface | PCIe 4.0 x4 OCuLink | — |
| Platform | — | Apple M4 |
| Storage Type | — | NVMe SSD |
| TDP (W) | — | 40 |
| vram gb | 192 | — |
| Buy | No offer | Check Price → |
| Details | View → | View → |
Model Fit Analysis
ACEMAGIC F9A (Ryzen AI Max+ PRO 495)
Max Q4: 70B class models (278B params)
Usable AI memory: 142.5GB · Method: amd_igpu_bios_limited Conservative
Llama 3.1 8B
✓
Llama 3.1 70B
✓
Llama 3.2 1B
✓
Llama 3.2 3B
✓
Qwen 2.5 7B
✓
Qwen 2.5 14B
✓
Qwen 2.5 32B
✓
Qwen 2.5 72B
✓
Mistral 7B
✓
Mixtral 8x7B
✓
DeepSeek R1 7B
✓
DeepSeek R1 32B
✓
DeepSeek R1 70B
✓
Phi-3 Medium 14B
✓
Gemma 2 9B
✓
Gemma 2 27B
✓
Stable Diffusion XL
✓
Flux.1 Dev
✓
Flux.1 Schnell
✓
Mac mini M4 (Base)
Max Q4: 8B class models (11.2B params)
Usable AI memory: 9.1GB · Method: unified_memory_desktop_workload Conservative
Llama 3.1 8B
✓
Llama 3.1 70B
✗
Llama 3.2 1B
✓
Llama 3.2 3B
✓
Qwen 2.5 7B
✓
Qwen 2.5 14B
✓
Qwen 2.5 32B
✗
Qwen 2.5 72B
✗
Mistral 7B
✓
Mixtral 8x7B
✗
DeepSeek R1 7B
✓
DeepSeek R1 32B
✗
DeepSeek R1 70B
✗
Phi-3 Medium 14B
✓
Gemma 2 9B
✓
Gemma 2 27B
✗
Stable Diffusion XL
✓
Flux.1 Dev
✓
Flux.1 Schnell
✓
Specifications sourced from manufacturer datasheets. Prices are MSRP, verified 2026-07-21. Model-fit uses conservative estimates — actual performance varies. Methodology