Beelink SER9 (Ryzen AI 9 HX 370) vs Mac mini M4 Max (128GB) for Local AI: Local AI Performance

Side-by-side specification comparison with AI model-fit analysis. Data sourced from manufacturer specs, verified 2026-07-21.

Most Memory: Mac mini M4 Max (128GB)
Highest Bandwidth: Mac mini M4 Max (128GB)
Highest NPU: Beelink SER9 (Ryzen AI 9 HX 370)
Lowest Price: Beelink SER9 (Ryzen AI 9 HX 370)
Best Memory/Price: Beelink SER9 (Ryzen AI 9 HX 370)
Beelink SER9 (Ryzen AI 9 HX 370)
Beelink
Mac mini M4 Max (128GB)
Apple
Price $749MSRP $3,199MSRP
AI Framework ROCm, Vulkan, ONNX RT MLX, CoreML, llama.cpp
CPU Cores 12 16
Ethernet 2.5GbE 10GbE (optional)
GPU Compute Units 16 40
GPU Radeon 890M Apple M4 Max GPU
Memory Bandwidth (GB/s) 120 546
Memory Bus Width 128-bit 256-bit
Memory (GB) 32 128
Memory Type LPDDR5X 7500 Unified LPDDR5X
Memory Upgradeable No (soldered LPDDR5X) No (unified memory)
NPU TOPS 50 38
OCuLink / PCIe No No
OS Support Windows 11, Linux macOS
Platform AMD Strix Point Apple M4 Max
Storage Type NVMe Gen4 SSD NVMe SSD
TDP (W) 65 80
Buy Check Price → Check Price →
Details View → View →

Model Fit Analysis

Beelink SER9 (Ryzen AI 9 HX 370)

Max Q4: 34B class models (38B params)
Usable AI memory: 22.5GB · 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 Max (128GB)

Max Q4: 70B class models (168B params)
Usable AI memory: 87.5GB · 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