| Upload Date | October 17 2025 08:20 PM | 
| Views | 9 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | Intel Core i5-3570K | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) | 
| Model | System manufacturer System Product Name | 
| Motherboard | ASUSTeK COMPUTER INC. MAXIMUS V EXTREME | 
| Power Plan | Wysoka wydajno | 
| CPU Information | |
|---|---|
| Name | Intel Core i5-3570K | 
| Topology | 1 Processor, 4 Cores | 
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 | 
| Base Frequency | 3.40 GHz | 
| Cluster 1 | 4 Cores | 
| Memory Information | |
|---|---|
| Size | 16.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 1061 197.3 IPS | |
| Image Classification (HP) | 100% | 352 65.4 IPS | |
| Image Classification (Q) | 96% | 978 182.6 IPS | |
| Image Segmentation (SP) | 100% | 692 11.2 IPS | |
| Image Segmentation (HP) | 100% | 483 7.84 IPS | |
| Image Segmentation (Q) | 97% | 1029 16.7 IPS | |
| Pose Estimation (SP) | 100% | 1770 2.07 IPS | |
| Pose Estimation (HP) | 100% | 1506 1.76 IPS | |
| Pose Estimation (Q) | 86% | 1896 2.24 IPS | |
| Object Detection (SP) | 100% | 972 77.1 IPS | |
| Object Detection (HP) | 100% | 410 32.5 IPS | |
| Object Detection (Q) | 58% | 691 75.5 IPS | |
| Face Detection (SP) | 100% | 2147 25.5 IPS | |
| Face Detection (HP) | 100% | 931 11.1 IPS | |
| Face Detection (Q) | 96% | 2025 24.2 IPS | |
| Depth Estimation (SP) | 100% | 2531 19.5 IPS | |
| Depth Estimation (HP) | 99% | 1188 9.15 IPS | |
| Depth Estimation (Q) | 78% | 2174 17.3 IPS | |
| Style Transfer (SP) | 100% | 4508 5.79 IPS | |
| Style Transfer (HP) | 100% | 3980 5.12 IPS | |
| Style Transfer (Q) | 87% | 4134 5.38 IPS | |
| Image Super-Resolution (SP) | 100% | 976 36.0 IPS | |
| Image Super-Resolution (HP) | 100% | 870 32.1 IPS | |
| Image Super-Resolution (Q) | 97% | 1081 40.1 IPS | |
| Text Classification (SP) | 100% | 960 1.28 KIPS | |
| Text Classification (HP) | 100% | 499 666.7 IPS | |
| Text Classification (Q) | 97% | 403 539.4 IPS | |
| Machine Translation (SP) | 100% | 1203 20.7 IPS | |
| Machine Translation (HP) | 100% | 536 9.24 IPS | |
| Machine Translation (Q) | 68% | 1201 23.2 IPS |