| User | selyob46 | 
| Upload Date | September 02 2025 02:44 AM | 
| Views | 7 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | AMD Ryzen 9 9950X3D | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | ASUS System Product Name | 
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870E-E GAMING WIFI | 
| Power Plan | Balanced | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D | 
| Topology | 1 Processor, 16 Cores, 32 Threads | 
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 | 
| Base Frequency | 4.30 GHz | 
| Cluster 1 | 16 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 5209 968.6 IPS | |
| Image Classification (HP) | 100% | 953 177.3 IPS | |
| Image Classification (Q) | 99% | 13497 2.52 KIPS | |
| Image Segmentation (SP) | 100% | 2261 36.6 IPS | |
| Image Segmentation (HP) | 100% | 1432 23.2 IPS | |
| Image Segmentation (Q) | 98% | 18907 307.4 IPS | |
| Pose Estimation (SP) | 100% | 23759 27.7 IPS | |
| Pose Estimation (HP) | 100% | 14424 16.8 IPS | |
| Pose Estimation (Q) | 94% | 78449 92.0 IPS | |
| Object Detection (SP) | 100% | 5161 409.4 IPS | |
| Object Detection (HP) | 100% | 1168 92.6 IPS | |
| Object Detection (Q) | 86% | 14291 1.15 KIPS | |
| Face Detection (SP) | 100% | 9984 118.6 IPS | |
| Face Detection (HP) | 100% | 2334 27.7 IPS | |
| Face Detection (Q) | 97% | 14854 177.1 IPS | |
| Depth Estimation (SP) | 100% | 17575 135.4 IPS | |
| Depth Estimation (HP) | 99% | 4152 32.0 IPS | |
| Depth Estimation (Q) | 78% | 31974 255.1 IPS | |
| Style Transfer (SP) | 100% | 38677 49.7 IPS | |
| Style Transfer (HP) | 100% | 37233 47.9 IPS | |
| Style Transfer (Q) | 98% | 47627 61.4 IPS | |
| Image Super-Resolution (SP) | 100% | 4320 159.5 IPS | |
| Image Super-Resolution (HP) | 100% | 3629 134.0 IPS | |
| Image Super-Resolution (Q) | 99% | 2653 98.2 IPS | |
| Text Classification (SP) | 100% | 2199 2.94 KIPS | |
| Text Classification (HP) | 100% | 1024 1.37 KIPS | |
| Text Classification (Q) | 97% | 1738 2.33 KIPS | |
| Machine Translation (SP) | 100% | 3623 62.4 IPS | |
| Machine Translation (HP) | 100% | 1294 22.3 IPS | |
| Machine Translation (Q) | 65% | 4515 90.7 IPS |