| Upload Date | October 27 2025 11:12 AM | 
| Views | 2 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | AMD Ryzen 5 7600X | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | Gigabyte Technology Co., Ltd. B650M GAMING WIFI6E | 
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING WIFI6E | 
| Power Plan | Balanced | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X | 
| Topology | 1 Processor, 6 Cores, 12 Threads | 
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 | 
| Base Frequency | 4.70 GHz | 
| Cluster 1 | 6 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 3521 654.7 IPS | |
| Image Classification (HP) | 100% | 786 146.1 IPS | |
| Image Classification (Q) | 99% | 8031 1.50 KIPS | |
| Image Segmentation (SP) | 100% | 1720 27.9 IPS | |
| Image Segmentation (HP) | 100% | 1073 17.4 IPS | |
| Image Segmentation (Q) | 98% | 3893 63.3 IPS | |
| Pose Estimation (SP) | 100% | 6390 7.46 IPS | |
| Pose Estimation (HP) | 100% | 5389 6.29 IPS | |
| Pose Estimation (Q) | 94% | 23390 27.4 IPS | |
| Object Detection (SP) | 100% | 2980 236.4 IPS | |
| Object Detection (HP) | 100% | 976 77.4 IPS | |
| Object Detection (Q) | 86% | 8540 686.4 IPS | |
| Face Detection (SP) | 100% | 7811 92.8 IPS | |
| Face Detection (HP) | 100% | 2221 26.4 IPS | |
| Face Detection (Q) | 97% | 10622 126.7 IPS | |
| Depth Estimation (SP) | 100% | 8407 64.8 IPS | |
| Depth Estimation (HP) | 99% | 2928 22.6 IPS | |
| Depth Estimation (Q) | 78% | 17308 138.1 IPS | |
| Style Transfer (SP) | 100% | 16508 21.2 IPS | |
| Style Transfer (HP) | 100% | 13561 17.4 IPS | |
| Style Transfer (Q) | 98% | 27441 35.4 IPS | |
| Image Super-Resolution (SP) | 100% | 3137 115.8 IPS | |
| Image Super-Resolution (HP) | 100% | 2784 102.8 IPS | |
| Image Super-Resolution (Q) | 99% | 4578 169.5 IPS | |
| Text Classification (SP) | 100% | 2005 2.68 KIPS | |
| Text Classification (HP) | 100% | 1030 1.37 KIPS | |
| Text Classification (Q) | 97% | 2196 2.94 KIPS | |
| Machine Translation (SP) | 100% | 2839 48.9 IPS | |
| Machine Translation (HP) | 100% | 1004 17.3 IPS | |
| Machine Translation (Q) | 65% | 4830 97.1 IPS |