| User | wavejunkie | 
| Upload Date | September 12 2025 11:25 PM | 
| Views | 6 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | AMD Ryzen 7 5800X3D | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | Gigabyte Technology Co., Ltd. X570S AERO G | 
| Motherboard | Gigabyte Technology Co., Ltd. X570S AERO G | 
| Power Plan | Ultimate Performance | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D | 
| Topology | 1 Processor, 8 Cores, 16 Threads | 
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 | 
| Base Frequency | 3.40 GHz | 
| Cluster 1 | 8 Cores | 
| Memory Information | |
|---|---|
| Size | 64.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 2765 514.2 IPS | |
| Image Classification (HP) | 100% | 618 114.9 IPS | |
| Image Classification (Q) | 96% | 4847 905.1 IPS | |
| Image Segmentation (SP) | 100% | 1990 32.3 IPS | |
| Image Segmentation (HP) | 100% | 825 13.4 IPS | |
| Image Segmentation (Q) | 97% | 5639 91.7 IPS | |
| Pose Estimation (SP) | 100% | 5000 5.83 IPS | |
| Pose Estimation (HP) | 100% | 4244 4.95 IPS | |
| Pose Estimation (Q) | 86% | 11415 13.5 IPS | |
| Object Detection (SP) | 100% | 2834 224.8 IPS | |
| Object Detection (HP) | 100% | 776 61.6 IPS | |
| Object Detection (Q) | 58% | 3605 393.9 IPS | |
| Face Detection (SP) | 100% | 8173 97.1 IPS | |
| Face Detection (HP) | 100% | 1813 21.5 IPS | |
| Face Detection (Q) | 96% | 8268 98.6 IPS | |
| Depth Estimation (SP) | 100% | 7476 57.6 IPS | |
| Depth Estimation (HP) | 99% | 2300 17.7 IPS | |
| Depth Estimation (Q) | 78% | 11288 90.1 IPS | |
| Style Transfer (SP) | 100% | 12833 16.5 IPS | |
| Style Transfer (HP) | 100% | 10517 13.5 IPS | |
| Style Transfer (Q) | 87% | 15900 20.7 IPS | |
| Image Super-Resolution (SP) | 100% | 2497 92.2 IPS | |
| Image Super-Resolution (HP) | 100% | 2086 77.0 IPS | |
| Image Super-Resolution (Q) | 97% | 4130 153.0 IPS | |
| Text Classification (SP) | 100% | 1855 2.48 KIPS | |
| Text Classification (HP) | 100% | 920 1.23 KIPS | |
| Text Classification (Q) | 97% | 1468 1.97 KIPS | |
| Machine Translation (SP) | 100% | 2845 49.0 IPS | |
| Machine Translation (HP) | 100% | 1010 17.4 IPS | |
| Machine Translation (Q) | 68% | 3304 63.8 IPS |