| User | thermalwone | 
| Upload Date | April 18 2025 10:48 PM | 
| Views | 7 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | AMD Ryzen 9 3900X | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | Gigabyte Technology Co., Ltd. X570 AORUS ELITE | 
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS ELITE | 
| Power Plan | AMD Ryzen High Performance | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X | 
| Topology | 1 Processor, 12 Cores, 24 Threads | 
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 | 
| Base Frequency | 3.80 GHz | 
| Cluster 1 | 12 Cores | 
| Memory Information | |
|---|---|
| Size | 128.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 2165 402.6 IPS | |
| Image Classification (HP) | 100% | 402 74.8 IPS | |
| Image Classification (Q) | 96% | 3351 625.8 IPS | |
| Image Segmentation (SP) | 100% | 963 15.6 IPS | |
| Image Segmentation (HP) | 100% | 484 7.84 IPS | |
| Image Segmentation (Q) | 97% | 2055 33.4 IPS | |
| Pose Estimation (SP) | 100% | 6897 8.05 IPS | |
| Pose Estimation (HP) | 100% | 4489 5.24 IPS | |
| Pose Estimation (Q) | 86% | 8639 10.2 IPS | |
| Object Detection (SP) | 100% | 2091 165.9 IPS | |
| Object Detection (HP) | 100% | 512 40.6 IPS | |
| Object Detection (Q) | 58% | 2478 270.7 IPS | |
| Face Detection (SP) | 100% | 4459 53.0 IPS | |
| Face Detection (HP) | 100% | 1105 13.1 IPS | |
| Face Detection (Q) | 96% | 6523 77.8 IPS | |
| Depth Estimation (SP) | 100% | 6231 48.0 IPS | |
| Depth Estimation (HP) | 99% | 1766 13.6 IPS | |
| Depth Estimation (Q) | 78% | 7719 61.6 IPS | |
| Style Transfer (SP) | 100% | 13631 17.5 IPS | |
| Style Transfer (HP) | 100% | 11818 15.2 IPS | |
| Style Transfer (Q) | 87% | 14336 18.7 IPS | |
| Image Super-Resolution (SP) | 100% | 1752 64.7 IPS | |
| Image Super-Resolution (HP) | 100% | 1447 53.4 IPS | |
| Image Super-Resolution (Q) | 97% | 1710 63.4 IPS | |
| Text Classification (SP) | 100% | 868 1.16 KIPS | |
| Text Classification (HP) | 100% | 438 584.3 IPS | |
| Text Classification (Q) | 97% | 839 1.12 KIPS | |
| Machine Translation (SP) | 100% | 1587 27.3 IPS | |
| Machine Translation (HP) | 100% | 510 8.79 IPS | |
| Machine Translation (Q) | 68% | 2070 40.0 IPS |