| User | eunu | 
| Upload Date | August 03 2025 01:00 AM | 
| Views | 7 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | AMD Ryzen 7 5700X | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | ASUS System Product Name | 
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550-PLUS WIFI II | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X | 
| 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 | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 3082 573.1 IPS | |
| Image Classification (HP) | 100% | 607 112.8 IPS | |
| Image Classification (Q) | 96% | 4881 911.5 IPS | |
| Image Segmentation (SP) | 100% | 1922 31.2 IPS | |
| Image Segmentation (HP) | 100% | 827 13.4 IPS | |
| Image Segmentation (Q) | 97% | 6043 98.3 IPS | |
| Pose Estimation (SP) | 100% | 5211 6.08 IPS | |
| Pose Estimation (HP) | 100% | 4257 4.97 IPS | |
| Pose Estimation (Q) | 86% | 10930 12.9 IPS | |
| Object Detection (SP) | 100% | 2392 189.7 IPS | |
| Object Detection (HP) | 100% | 664 52.6 IPS | |
| Object Detection (Q) | 58% | 3160 345.3 IPS | |
| Face Detection (SP) | 100% | 5270 62.6 IPS | |
| Face Detection (HP) | 100% | 1377 16.4 IPS | |
| Face Detection (Q) | 96% | 7376 88.0 IPS | |
| Depth Estimation (SP) | 100% | 6050 46.6 IPS | |
| Depth Estimation (HP) | 99% | 1923 14.8 IPS | |
| Depth Estimation (Q) | 78% | 9723 77.6 IPS | |
| Style Transfer (SP) | 100% | 13243 17.0 IPS | |
| Style Transfer (HP) | 100% | 10526 13.5 IPS | |
| Style Transfer (Q) | 87% | 16038 20.9 IPS | |
| Image Super-Resolution (SP) | 100% | 2751 101.6 IPS | |
| Image Super-Resolution (HP) | 100% | 2074 76.6 IPS | |
| Image Super-Resolution (Q) | 97% | 4409 163.4 IPS | |
| Text Classification (SP) | 100% | 1850 2.47 KIPS | |
| Text Classification (HP) | 100% | 886 1.18 KIPS | |
| Text Classification (Q) | 97% | 1467 1.97 KIPS | |
| Machine Translation (SP) | 100% | 2575 44.4 IPS | |
| Machine Translation (HP) | 100% | 945 16.3 IPS | |
| Machine Translation (Q) | 68% | 3285 63.5 IPS |