| User | drive5600x | 
| Upload Date | September 16 2025 09:18 AM | 
| Views | 3 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | AMD Ryzen 7 9800X3D 8-Core Processor | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | ASUS System Product Name | 
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-E WIFI | 
| Power Plan | Ultimate Performance | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D | 
| Topology | 1 Processor, 8 Cores, 16 Threads | 
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 | 
| Base Frequency | 4.70 GHz | 
| Cluster 1 | 8 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 5221 971.0 IPS | |
| Image Classification (HP) | 100% | 915 170.1 IPS | |
| Image Classification (Q) | 99% | 12919 2.41 KIPS | |
| Image Segmentation (SP) | 100% | 2960 48.0 IPS | |
| Image Segmentation (HP) | 100% | 1426 23.1 IPS | |
| Image Segmentation (Q) | 98% | 4788 77.9 IPS | |
| Pose Estimation (SP) | 100% | 9724 11.3 IPS | |
| Pose Estimation (HP) | 100% | 8387 9.79 IPS | |
| Pose Estimation (Q) | 94% | 42930 50.3 IPS | |
| Object Detection (SP) | 100% | 6011 476.8 IPS | |
| Object Detection (HP) | 100% | 1117 88.6 IPS | |
| Object Detection (Q) | 86% | 13524 1.09 KIPS | |
| Face Detection (SP) | 100% | 14632 173.9 IPS | |
| Face Detection (HP) | 100% | 2649 31.5 IPS | |
| Face Detection (Q) | 97% | 13998 166.9 IPS | |
| Depth Estimation (SP) | 100% | 13792 106.3 IPS | |
| Depth Estimation (HP) | 99% | 3717 28.6 IPS | |
| Depth Estimation (Q) | 78% | 31021 247.5 IPS | |
| Style Transfer (SP) | 100% | 24651 31.7 IPS | |
| Style Transfer (HP) | 100% | 17877 23.0 IPS | |
| Style Transfer (Q) | 98% | 32813 42.3 IPS | |
| Image Super-Resolution (SP) | 100% | 4140 152.9 IPS | |
| Image Super-Resolution (HP) | 100% | 3827 141.3 IPS | |
| Image Super-Resolution (Q) | 99% | 6229 230.6 IPS | |
| Text Classification (SP) | 100% | 2752 3.67 KIPS | |
| Text Classification (HP) | 100% | 1173 1.57 KIPS | |
| Text Classification (Q) | 97% | 2436 3.26 KIPS | |
| Machine Translation (SP) | 100% | 4734 81.5 IPS | |
| Machine Translation (HP) | 100% | 1212 20.9 IPS | |
| Machine Translation (Q) | 65% | 6408 128.8 IPS |