| User | domdtxdissar | 
| Upload Date | April 13 2025 11:57 AM | 
| Views | 5 | 
| AI Information | |
|---|---|
| Framework | OpenVINO | 
| Backend | CPU | 
| Device | AMD Ryzen 9 9950X3D 16-Core Processor | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | ASUS System Product Name | 
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E APEX | 
| Power Plan | Balanced | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor | 
| Topology | 1 Processor, 8 Cores | 
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 | 
| Base Frequency | 4.30 GHz | 
| Cluster 1 | 8 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 9388 1.75 KIPS | |
| Image Classification (HP) | 100% | 9371 1.74 KIPS | |
| Image Classification (Q) | 100% | 22540 4.19 KIPS | |
| Image Segmentation (SP) | 100% | 10362 168.0 IPS | |
| Image Segmentation (HP) | 100% | 10339 167.6 IPS | |
| Image Segmentation (Q) | 99% | 27702 449.1 IPS | |
| Pose Estimation (SP) | 100% | 18579 21.7 IPS | |
| Pose Estimation (HP) | 100% | 18870 22.0 IPS | |
| Pose Estimation (Q) | 98% | 74070 86.7 IPS | |
| Object Detection (SP) | 100% | 9759 774.1 IPS | |
| Object Detection (HP) | 100% | 9738 772.4 IPS | |
| Object Detection (Q) | 88% | 24299 1.95 KIPS | |
| Face Detection (SP) | 100% | 29746 353.4 IPS | |
| Face Detection (HP) | 100% | 29883 355.1 IPS | |
| Face Detection (Q) | 100% | 59412 705.9 IPS | |
| Depth Estimation (SP) | 100% | 25423 195.9 IPS | |
| Depth Estimation (HP) | 99% | 25478 196.3 IPS | |
| Depth Estimation (Q) | 88% | 68345 531.9 IPS | |
| Style Transfer (SP) | 100% | 53390 68.6 IPS | |
| Style Transfer (HP) | 100% | 53304 68.5 IPS | |
| Style Transfer (Q) | 98% | 185982 239.8 IPS | |
| Image Super-Resolution (SP) | 100% | 11388 420.5 IPS | |
| Image Super-Resolution (HP) | 100% | 11676 431.1 IPS | |
| Image Super-Resolution (Q) | 99% | 34448 1.28 KIPS | |
| Text Classification (SP) | 100% | 7045 9.40 KIPS | |
| Text Classification (HP) | 100% | 7063 9.43 KIPS | |
| Text Classification (Q) | 92% | 9468 12.7 KIPS | |
| Machine Translation (SP) | 100% | 12788 220.3 IPS | |
| Machine Translation (HP) | 100% | 12504 215.4 IPS | |
| Machine Translation (Q) | 100% | 15028 258.9 IPS |