ASUS Zenbook S14 (2025) vs GMKtec NucBox M5 Pro Mini PC

Both have 32 GB memory, so bandwidth decides. GMKtec NucBox M5 Pro Mini PC's 51 GB/s vs 0 GB/s translates directly to more tokens per second at equivalent model sizes.

Neither is optimised for image generation, but GMKtec NucBox M5 Pro Mini PC's 51 GB/s bandwidth makes generation faster. Both run SDXL via Metal (macOS) or ROCm (Linux). Expect slower generation times than a discrete GPU.

GMKtec NucBox M5 Pro Mini PC draws 45W at peak vs 999W — a 954W difference. Running AI workloads 12 hours/day, that's roughly 4179 kWh saved per year. For always-on inference, GMKtec NucBox M5 Pro Mini PC has meaningfully lower operating costs.

Both products are closely matched. Your choice should come down to price, ecosystem preference, and the specific models you plan to run.

Q1Which runs Ollama faster — ASUS Zenbook S14 (2025) or GMKtec NucBox M5 Pro Mini PC?

GMKtec NucBox M5 Pro Mini PC runs Ollama faster. Its 51 GB/s memory bandwidth vs 0 GB/s means faster token generation — roughly — more tokens/second on the same model. On Llama 3.1 8B, expect around 2 tok/s vs 0 tok/s.

Q2Can either mini PC run Llama 3 70B?

Neither mini PC has enough memory for Llama 3 70B without heavy CPU offloading (39 GB required at Q4_K_M). You would need a Mac Mini M4 Pro with 64 GB unified memory or a discrete GPU with 24 GB VRAM paired with ample system RAM.

Q3Which is better value for local AI in 2026?

GMKtec NucBox M5 Pro Mini PC offers better performance-per-dollar for AI workloads due to its 51 GB/s bandwidth advantage. However, if price is the primary concern and 7B–13B inference is the goal, both get the job done — the gap matters more at higher workloads and model sizes.

Q4Which has better software support for local AI?

Both run Ollama well. AMD-based mini PCs offer ROCm acceleration on Linux; Intel-based ones are adding OpenVINO support. macOS Apple Silicon has the most polished Ollama experience.