ASRock DeskMeet X600 vs HP Elite Mini 800 G9
Side-by-side specification comparison with AI model-fit analysis. Data sourced from manufacturer specs, verified 2026-07-21.
|
ASRock DeskMeet X600 (Ryzen 7 7600) ASRock |
HP Elite Mini 800 G9 (Core i7-13700T) HP |
|
|---|---|---|
| Price | $599MSRP | $1,099MSRP |
| AI Framework | CUDA (with dGPU), ROCm | OpenVINO (CPU) |
| CPU Cores | 6 | 16 |
| Ethernet | 2.5GbE | 2.5GbE |
| GPU Compute Units | 0 | 32 |
| GPU | Discrete GPU slot (RTX 4060) | Intel UHD 770 |
| Memory Bandwidth (GB/s) | 83.2 | 83.2 |
| Memory Bus Width | 128-bit | 128-bit |
| Memory (GB) | 64 | 64 |
| Memory Type | DDR5 5200 SODIMM | DDR5 5200 SODIMM |
| Memory Upgradeable | Yes (DDR5 SODIMM) | Yes (DDR5 SODIMM) |
| NPU TOPS | 0 | 0 |
| OCuLink / PCIe | Yes (PCIe x16 slot) | No |
| OS Support | Windows 11, Linux | Windows 11, Linux |
| Platform | AMD Raphael | Intel Raptor Lake |
| Storage Type | NVMe Gen4 SSD | NVMe Gen4 SSD |
| TDP (W) | 65 | 35 |
| Buy | Check Price → | Check Price → |
| Details | View → | View → |
Model Fit Analysis
ASRock DeskMeet X600 (Ryzen 7 7600)
Max Q4: 70B class models (117B params)
Usable AI memory: 62GB · Method: discrete_gpu_slot_unknown_vram 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
✓
HP Elite Mini 800 G9 (Core i7-13700T)
Max Q4: 34B class models (53B params)
Usable AI memory: 30GB · 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
✓
Specifications sourced from manufacturer datasheets. Prices are MSRP, verified 2026-07-21. Model-fit uses conservative estimates — actual performance varies. Methodology