AAEON MF-001 vs AAEON MF-001
| AAEON MF-001 | AAEON MF-001 | Difference | |
|---|---|---|---|
| Single Precision | 137 | 137 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Half Precision | 135 | 135 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Quantized | 110 | 110 | 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 | OpenVINO | OpenVINO |
| AI Backend | CPU | CPU |
| AI Device | Intel(R) Atom(TM) x5-Z8350 CPU @ 1.44GHz | Intel(R) Atom(TM) x5-Z8350 CPU @ 1.44GHz |
| 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) | 92 | 92 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Image Classification (HP) | 90 | 90 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Image Classification (Q) | 68 | 68 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Image Segmentation (SP) | 118 | 118 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Image Segmentation (HP) | 117 | 117 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Image Segmentation (Q) | 89 | 89 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Pose Estimation (SP) | 153 | 153 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Pose Estimation (HP) | 154 | 154 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Pose Estimation (Q) | 126 | 126 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Object Detection (SP) | 87 | 87 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Object Detection (HP) | 86 | 86 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Object Detection (Q) | 67 | 67 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Face Detection (SP) | 284 | 284 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Face Detection (HP) | 284 | 284 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Face Detection (Q) | 208 | 208 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Depth Estimation (SP) | 214 | 214 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Depth Estimation (HP) | 215 | 215 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Depth Estimation (Q) | 167 | 167 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Style Transfer (SP) | 336 | 336 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Style Transfer (HP) | 302 | 302 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Style Transfer (Q) | 388 | 388 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Image Super-Resolution (SP) | 94 | 94 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Image Super-Resolution (HP) | 94 | 94 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Image Super-Resolution (Q) | 78 | 78 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Text Classification (SP) | 72 | 72 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Text Classification (HP) | 72 | 72 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Text Classification (Q) | 45 | 45 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Machine Translation (SP) | 118 | 118 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Machine Translation (HP) | 118 | 118 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
| Machine Translation (Q) | 117 | 117 | 100.0% |
| AAEON MF-001 | |||
| AAEON MF-001 | |||
