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ASUS NUC 14 Pro+ vs BOSGAME M5 AI Mini Desktop

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

Most Memory: BOSGAME M5 AI Mini Desktop (Ryzen AI Max+ 395)
Highest Bandwidth: ASUS NUC 14 Pro+ (Core Ultra 7 258V)
Highest NPU: BOSGAME M5 AI Mini Desktop (Ryzen AI Max+ 395)
Lowest Price: ASUS NUC 14 Pro+ (Core Ultra 7 258V)
Best Memory/Price: BOSGAME M5 AI Mini Desktop (Ryzen AI Max+ 395)
ASUS NUC 14 Pro+ (Core Ultra 7 258V)
ASUS
BOSGAME M5 AI Mini Desktop (Ryzen AI Max+ 395)
BOSGAME
Price $949MSRP $3,099MSRP
AI Framework OpenVINO, DirectML, IPEX —
CPU Cores 8 —
Ethernet 2.5GbE —
GPU Compute Units 8 —
GPU Intel Arc —
Memory Bandwidth (GB/s) 136.5 —
Memory Bus Width 128-bit —
Memory (GB) 32 128
Memory Type LPDDR5X 8533 LPDDR5X-8000
Memory Upgradeable No (soldered LPDDR5X) —
NPU TOPS 47 50
OCuLink / PCIe No —
OS Support Windows 11, Linux —
Platform Intel Lunar Lake —
Storage Type NVMe Gen4 SSD —
TDP (W) 30 —
Buy Check Price → No offer
Details View → View →

Model Fit Analysis

ASUS NUC 14 Pro+ (Core Ultra 7 258V)

Max Q4: 14B class models (21B params)
Usable AI memory: 14GB · Method: intel_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 ✓

BOSGAME M5 AI Mini Desktop (Ryzen AI Max+ 395)

Max Q4: 70B class models (182B params)
Usable AI memory: 94.5GB · 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 ✓

Specifications sourced from manufacturer datasheets. Prices are MSRP, verified 2026-07-21. Model-fit uses conservative estimates — actual performance varies. Methodology