Head-to-Head
ASUS Zenbook S14 (2025) vs GEEKOM IT12 Mini PC (Intel i5-12450H)
GEEKOM IT12 Mini PC (Intel i5-12450H)
GEEKOM · mini pc
Winner for LLMs
Winner for Stable Diffusion
Winner for Power Efficiency
Overall Winner
TieGEEKOM IT12 Mini PC (Intel i5-12450H) leads in memory bandwidth (51 GB/s vs 0 GB/s), making it faster for LLM token generation. ASUS Zenbook S14 (2025) has 100% more memory (32 GB vs 16 GB).
Spec Comparison
Performance Verdicts
Winner for LLM Inference
S14 (2025) winsASUS Zenbook S14 (2025) edges ahead with 32 GB vs 16 GB — enough headroom to run larger quantized models without offloading. ASUS Zenbook S14 (2025)'s 0 GB/s bandwidth also generates tokens faster.
Winner for Stable Diffusion / Image Generation
(Intel i5-12450H) winsNeither is optimised for image generation, but GEEKOM IT12 Mini PC (Intel i5-12450H)'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.
Winner for Power Efficiency
(Intel i5-12450H) winsGEEKOM IT12 Mini PC (Intel i5-12450H) 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, GEEKOM IT12 Mini PC (Intel i5-12450H) has meaningfully lower operating costs.
Overall Winner
tieBoth products are closely matched. Your choice should come down to price, ecosystem preference, and the specific models you plan to run.
Who Should Buy Which?
Buy the S14 (2025) if…
Buy the ASUS Zenbook S14 (2025) if budget is your primary constraint or if you need 32 GB of memory at a lower price point. Good for 7B–13B model inference.
Buy the (Intel i5-12450H) if…
Buy the GEEKOM IT12 Mini PC (Intel i5-12450H) if LLM inference speed is your priority — its 51 GB/s bandwidth delivers faster token generation. Also choose it for GEEKOM ecosystem advantages.
Related Comparisons
Frequently Asked Questions
Q1Which runs Ollama faster — ASUS Zenbook S14 (2025) or GEEKOM IT12 Mini PC (Intel i5-12450H)?
GEEKOM IT12 Mini PC (Intel i5-12450H) 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?
GEEKOM IT12 Mini PC (Intel i5-12450H) 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.
Full Reviews
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