| User | gMaX | 
| Upload Date | January 25 2025 03:29 AM | 
| Views | 5 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | AMD Ryzen 5 5500 | 
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) | 
| Model | Micro-Star International Co., Ltd. MS-7C96 | 
| Motherboard | Micro-Star International Co., Ltd. A520M-A PRO (MS-7C96) | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500 | 
| Topology | 1 Processor, 6 Cores, 12 Threads | 
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 | 
| Base Frequency | 3.60 GHz | 
| Cluster 1 | 6 Cores | 
| Memory Information | |
|---|---|
| Size | 8.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 1342 249.6 IPS | |
| Image Classification (HP) | 100% | 350 65.1 IPS | |
| Image Classification (Q) | 96% | 2783 519.7 IPS | |
| Image Segmentation (SP) | 100% | 854 13.8 IPS | |
| Image Segmentation (HP) | 100% | 522 8.47 IPS | |
| Image Segmentation (Q) | 97% | 1319 21.5 IPS | |
| Pose Estimation (SP) | 100% | 2514 2.93 IPS | |
| Pose Estimation (HP) | 100% | 2298 2.68 IPS | |
| Pose Estimation (Q) | 86% | 5814 6.87 IPS | |
| Object Detection (SP) | 100% | 1245 98.8 IPS | |
| Object Detection (HP) | 100% | 431 34.2 IPS | |
| Object Detection (Q) | 58% | 1701 185.8 IPS | |
| Face Detection (SP) | 100% | 1763 21.0 IPS | |
| Face Detection (HP) | 100% | 831 9.87 IPS | |
| Face Detection (Q) | 96% | 4258 50.8 IPS | |
| Depth Estimation (SP) | 100% | 3534 27.2 IPS | |
| Depth Estimation (HP) | 99% | 1316 10.1 IPS | |
| Depth Estimation (Q) | 78% | 5580 44.5 IPS | |
| Style Transfer (SP) | 100% | 6514 8.37 IPS | |
| Style Transfer (HP) | 100% | 5815 7.48 IPS | |
| Style Transfer (Q) | 87% | 7475 9.73 IPS | |
| Image Super-Resolution (SP) | 100% | 1234 45.6 IPS | |
| Image Super-Resolution (HP) | 100% | 1138 42.0 IPS | |
| Image Super-Resolution (Q) | 97% | 1755 65.0 IPS | |
| Text Classification (SP) | 100% | 1068 1.43 KIPS | |
| Text Classification (HP) | 100% | 513 684.3 IPS | |
| Text Classification (Q) | 97% | 367 491.2 IPS | |
| Machine Translation (SP) | 100% | 1247 21.5 IPS | |
| Machine Translation (HP) | 100% | 461 7.95 IPS | |
| Machine Translation (Q) | 68% | 1514 29.2 IPS |