ACEMAGIC F9A 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.
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ACEMAGIC F9A (Ryzen AI Max+ PRO 495) ACEMAGIC |
HP Elite Mini 800 G9 (Core i7-13700T) HP |
|
|---|---|---|
| Price | $5,999MSRP | $1,099MSRP |
| AI Framework | — | OpenVINO (CPU) |
| CPU Cores | — | 16 |
| Ethernet | — | 2.5GbE |
| GPU Compute Units | — | 32 |
| GPU | — | Intel UHD 770 |
| Memory Bandwidth (GB/s) | — | 83.2 |
| Memory Bus Width | — | 128-bit |
| Memory (GB) | 192 | 64 |
| Memory Type | LPDDR5x-8533 | DDR5 5200 SODIMM |
| Memory Upgradeable | — | Yes (DDR5 SODIMM) |
| NPU TOPS | — | 0 |
| OCuLink / PCIe | — | No |
| OS Support | — | Windows 11, Linux |
| pcie interface | PCIe 4.0 x4 OCuLink | — |
| Platform | — | Intel Raptor Lake |
| Storage Type | — | NVMe Gen4 SSD |
| TDP (W) | — | 35 |
| vram gb | 192 | — |
| Buy | No offer | Check Price → |
| Details | View → | View → |
Model Fit Analysis
ACEMAGIC F9A (Ryzen AI Max+ PRO 495)
Max Q4: 70B class models (278B params)
Usable AI memory: 142.5GB · 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
✓
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