| User | konopek1971 | 
| Upload Date | January 27 2025 04:23 AM | 
| Views | 9 | 
| AI Information | |
|---|---|
| Framework | OpenVINO | 
| Backend | CPU | 
| Device | Intel(R) Xeon(R) CPU E5520 @ 2.27GHz | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) | 
| Model | HUANANZHI X58 | 
| Motherboard | HUANANZHI X58 | 
| Power Plan | Zrwnowaony | 
| CPU Information | |
|---|---|
| Name | Intel Xeon E5520 | 
| Topology | 1 Processor, 4 Cores, 8 Threads | 
| Identifier | GenuineIntel Family 6 Model 26 Stepping 5 | 
| Base Frequency | 2.27 GHz | 
| Cluster 1 | 4 Cores | 
| Memory Information | |
|---|---|
| Size | 4.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 234 43.5 IPS | |
| Image Classification (HP) | 100% | 232 43.2 IPS | |
| Image Classification (Q) | 100% | 488 90.7 IPS | |
| Image Segmentation (SP) | 100% | 298 4.84 IPS | |
| Image Segmentation (HP) | 100% | 302 4.89 IPS | |
| Image Segmentation (Q) | 99% | 557 9.05 IPS | |
| Pose Estimation (SP) | 100% | 414 0.48 IPS | |
| Pose Estimation (HP) | 100% | 414 0.48 IPS | |
| Pose Estimation (Q) | 94% | 1058 1.24 IPS | |
| Object Detection (SP) | 100% | 224 17.7 IPS | |
| Object Detection (HP) | 100% | 223 17.7 IPS | |
| Object Detection (Q) | 87% | 487 39.0 IPS | |
| Face Detection (SP) | 100% | 734 8.72 IPS | |
| Face Detection (HP) | 100% | 732 8.70 IPS | |
| Face Detection (Q) | 97% | 1365 16.3 IPS | |
| Depth Estimation (SP) | 100% | 581 4.48 IPS | |
| Depth Estimation (HP) | 99% | 581 4.48 IPS | |
| Depth Estimation (Q) | 81% | 1241 9.80 IPS | |
| Style Transfer (SP) | 100% | 1013 1.30 IPS | |
| Style Transfer (HP) | 100% | 1016 1.31 IPS | |
| Style Transfer (Q) | 98% | 3153 4.07 IPS | |
| Image Super-Resolution (SP) | 100% | 261 9.64 IPS | |
| Image Super-Resolution (HP) | 100% | 261 9.64 IPS | |
| Image Super-Resolution (Q) | 98% | 628 23.3 IPS | |
| Text Classification (SP) | 100% | 279 372.4 IPS | |
| Text Classification (HP) | 100% | 282 376.3 IPS | |
| Text Classification (Q) | 91% | 371 499.2 IPS | |
| Machine Translation (SP) | 100% | 339 5.84 IPS | |
| Machine Translation (HP) | 100% | 367 6.31 IPS | |
| Machine Translation (Q) | 100% | 365 6.29 IPS |