| User | boriga7 | 
| Upload Date | June 24 2025 01:42 PM | 
| Views | 7 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | AMD Ryzen 9 5950X | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) | 
| Model | Gigabyte Technology Co., Ltd. B550 AORUS ELITE AX V2 | 
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS ELITE AX V2 | 
| Power Plan | Balanced | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X | 
| Topology | 1 Processor, 16 Cores, 32 Threads | 
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 | 
| Base Frequency | 3.40 GHz | 
| Cluster 1 | 16 Cores | 
| Memory Information | |
|---|---|
| Size | 64.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 2641 491.1 IPS | |
| Image Classification (HP) | 100% | 504 93.8 IPS | |
| Image Classification (Q) | 96% | 5983 1.12 KIPS | |
| Image Segmentation (SP) | 100% | 1949 31.6 IPS | |
| Image Segmentation (HP) | 100% | 736 11.9 IPS | |
| Image Segmentation (Q) | 97% | 2756 44.8 IPS | |
| Pose Estimation (SP) | 100% | 7747 9.04 IPS | |
| Pose Estimation (HP) | 100% | 5448 6.36 IPS | |
| Pose Estimation (Q) | 86% | 19709 23.3 IPS | |
| Object Detection (SP) | 100% | 2958 234.6 IPS | |
| Object Detection (HP) | 100% | 627 49.7 IPS | |
| Object Detection (Q) | 58% | 4221 461.2 IPS | |
| Face Detection (SP) | 100% | 6150 73.1 IPS | |
| Face Detection (HP) | 100% | 1496 17.8 IPS | |
| Face Detection (Q) | 96% | 9750 116.3 IPS | |
| Depth Estimation (SP) | 100% | 8681 66.9 IPS | |
| Depth Estimation (HP) | 99% | 2200 16.9 IPS | |
| Depth Estimation (Q) | 78% | 14682 117.2 IPS | |
| Style Transfer (SP) | 100% | 17165 22.1 IPS | |
| Style Transfer (HP) | 100% | 14944 19.2 IPS | |
| Style Transfer (Q) | 87% | 21060 27.4 IPS | |
| Image Super-Resolution (SP) | 100% | 2026 74.8 IPS | |
| Image Super-Resolution (HP) | 100% | 1805 66.6 IPS | |
| Image Super-Resolution (Q) | 97% | 3336 123.6 IPS | |
| Text Classification (SP) | 100% | 1254 1.67 KIPS | |
| Text Classification (HP) | 100% | 603 804.3 IPS | |
| Text Classification (Q) | 97% | 425 569.6 IPS | |
| Machine Translation (SP) | 100% | 2190 37.7 IPS | |
| Machine Translation (HP) | 100% | 674 11.6 IPS | |
| Machine Translation (Q) | 68% | 2849 55.0 IPS |