AAEON MF-001 vs AAEON MF-001
| AAEON MF-001 | AAEON MF-001 | Difference | |
|---|---|---|---|
| Single Precision | 136 | 136 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Half Precision | 66 | 66 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Quantized | 160 | 160 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Geekbench AI 1.3.0 | Geekbench AI 1.3.0 | ||
System Information
| AAEON MF-001 | AAEON MF-001 | |
|---|---|---|
| AI Framework | ONNX | ONNX |
| AI Backend | CPU | CPU |
| AI Device | Intel Atom x5-Z8350 | Intel Atom x5-Z8350 |
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | AAEON MF-001 | AAEON MF-001 |
| Processor |
Intel Atom x5-Z8350 @ 1.44 GHz
1 Processor, 4 Cores |
Intel Atom x5-Z8350 @ 1.44 GHz
1 Processor, 4 Cores |
| Processor ID | GenuineIntel Family 6 Model 76 Stepping 4 | GenuineIntel Family 6 Model 76 Stepping 4 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | AAEON MF-001 | AAEON MF-001 |
| Northbridge | ||
| Southbridge | ||
| BIOS | American Megatrends Inc. MFC1AM12 | American Megatrends Inc. MFC1AM12 |
| Memory | 2.00 GB | 2.00 GB |
AI Performance
| AAEON MF-001 | AAEON MF-001 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 89 | 89 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Image Classification (HP) | 31 | 31 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Image Classification (Q) | 125 | 125 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Image Segmentation (SP) | 70 | 70 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Image Segmentation (HP) | 46 | 46 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Image Segmentation (Q) | 92 | 92 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Pose Estimation (SP) | 170 | 170 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Pose Estimation (HP) | 101 | 101 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Pose Estimation (Q) | 244 | 244 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Object Detection (SP) | 86 | 86 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Object Detection (HP) | 36 | 36 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Object Detection (Q) | 90 | 90 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Face Detection (SP) | 245 | 245 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Face Detection (HP) | 102 | 102 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Face Detection (Q) | 293 | 293 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Depth Estimation (SP) | 232 | 232 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Depth Estimation (HP) | 100 | 100 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Depth Estimation (Q) | 274 | 274 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Style Transfer (SP) | 431 | 431 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Style Transfer (HP) | 300 | 300 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Style Transfer (Q) | 529 | 529 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Image Super-Resolution (SP) | 96 | 96 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Image Super-Resolution (HP) | 60 | 60 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Image Super-Resolution (Q) | 116 | 116 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Text Classification (SP) | 67 | 67 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Text Classification (HP) | 41 | 41 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Text Classification (Q) | 57 | 57 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Machine Translation (SP) | 154 | 154 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Machine Translation (HP) | 46 | 46 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Machine Translation (Q) | 161 | 161 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
