| User | pdindetroit | 
| Upload Date | May 17 2025 08:32 PM | 
| Views | 8 | 
| AI Information | |
|---|---|
| Framework | OpenVINO | 
| Backend | CPU | 
| Device | AMD Ryzen 9 5900X 12-Core Processor | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | ASUS System Product Name | 
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PRO (WI-FI) | 
| Power Plan | Balanced | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X | 
| Topology | 1 Processor, 12 Cores, 24 Threads | 
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 | 
| Base Frequency | 3.70 GHz | 
| Cluster 1 | 12 Cores | 
| Memory Information | |
|---|---|
| Size | 64.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 3479 647.0 IPS | |
| Image Classification (HP) | 100% | 3495 649.9 IPS | |
| Image Classification (Q) | 100% | 5302 986.0 IPS | |
| Image Segmentation (SP) | 100% | 3840 62.3 IPS | |
| Image Segmentation (HP) | 100% | 4766 77.3 IPS | |
| Image Segmentation (Q) | 99% | 8345 135.7 IPS | |
| Pose Estimation (SP) | 100% | 7295 8.51 IPS | |
| Pose Estimation (HP) | 100% | 7435 8.68 IPS | |
| Pose Estimation (Q) | 94% | 21392 25.1 IPS | |
| Object Detection (SP) | 100% | 3750 297.4 IPS | |
| Object Detection (HP) | 100% | 3662 290.5 IPS | |
| Object Detection (Q) | 87% | 6677 535.5 IPS | |
| Face Detection (SP) | 100% | 8309 98.7 IPS | |
| Face Detection (HP) | 100% | 7936 94.3 IPS | |
| Face Detection (Q) | 97% | 20065 239.2 IPS | |
| Depth Estimation (SP) | 100% | 9758 75.2 IPS | |
| Depth Estimation (HP) | 99% | 9465 72.9 IPS | |
| Depth Estimation (Q) | 81% | 18221 143.7 IPS | |
| Style Transfer (SP) | 100% | 24648 31.7 IPS | |
| Style Transfer (HP) | 100% | 24461 31.4 IPS | |
| Style Transfer (Q) | 98% | 57147 73.7 IPS | |
| Image Super-Resolution (SP) | 100% | 5202 192.1 IPS | |
| Image Super-Resolution (HP) | 100% | 5137 189.7 IPS | |
| Image Super-Resolution (Q) | 98% | 10964 406.1 IPS | |
| Text Classification (SP) | 100% | 2743 3.66 KIPS | |
| Text Classification (HP) | 100% | 2590 3.46 KIPS | |
| Text Classification (Q) | 91% | 441 592.6 IPS | |
| Machine Translation (SP) | 100% | 3024 52.1 IPS | |
| Machine Translation (HP) | 100% | 3076 53.0 IPS | |
| Machine Translation (Q) | 100% | 3034 52.3 IPS |