ASUS Ascent QN10 vs MinisForum EM680
Side-by-side specification comparison with AI model-fit analysis. Data sourced from manufacturer specs, verified 2026-07-21.
|
ASUS Ascent QN10 ASUS |
MinisForum EM680 (Ryzen 7 6800H) MinisForum |
|
|---|---|---|
| Price | $1,699MSRP | $399MSRP |
| AI Framework | — | ROCm, Vulkan |
| CPU Cores | — | 8 |
| Ethernet | — | 2.5GbE |
| GPU Compute Units | — | 12 |
| GPU | — | Radeon 680M |
| Memory Bandwidth (GB/s) | — | 76.8 |
| Memory Bus Width | — | 128-bit |
| Memory (GB) | 32 | 32 |
| Memory Type | LPDDR5x 8533/9600MHz | DDR5 4800 SODIMM |
| Memory Upgradeable | — | Yes (DDR5 SODIMM) |
| NPU TOPS | 80 | 0 |
| OCuLink / PCIe | — | No |
| OS Support | — | Windows 11, Linux |
| Platform | — | AMD Rembrandt |
| Storage Type | — | NVMe Gen3 SSD |
| TDP (W) | — | 45 |
| Buy | Check Price → | Check Price → |
| Details | View → | View → |
Model Fit Analysis
ASUS Ascent QN10
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
✓
MinisForum EM680 (Ryzen 7 6800H)
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
✓
Specifications sourced from manufacturer datasheets. Prices are MSRP, verified 2026-07-21. Model-fit uses conservative estimates — actual performance varies. Methodology