| User | domdtxdissar | 
| Upload Date | April 16 2025 02:05 AM | 
| Views | 7 | 
| 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, 16 Cores, 32 Threads | 
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 | 
| Base Frequency | 4.30 GHz | 
| Cluster 1 | 16 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 7513 1.40 KIPS | |
| Image Classification (HP) | 100% | 7904 1.47 KIPS | |
| Image Classification (Q) | 100% | 19612 3.65 KIPS | |
| Image Segmentation (SP) | 100% | 10651 172.7 IPS | |
| Image Segmentation (HP) | 100% | 11091 179.8 IPS | |
| Image Segmentation (Q) | 99% | 31223 506.1 IPS | |
| Pose Estimation (SP) | 100% | 35439 41.4 IPS | |
| Pose Estimation (HP) | 100% | 34603 40.4 IPS | |
| Pose Estimation (Q) | 98% | 136970 160.4 IPS | |
| Object Detection (SP) | 100% | 9079 720.1 IPS | |
| Object Detection (HP) | 100% | 9222 731.5 IPS | |
| Object Detection (Q) | 88% | 22638 1.81 KIPS | |
| Face Detection (SP) | 100% | 23459 278.7 IPS | |
| Face Detection (HP) | 100% | 20921 248.6 IPS | |
| Face Detection (Q) | 100% | 55939 664.7 IPS | |
| Depth Estimation (SP) | 100% | 29446 226.9 IPS | |
| Depth Estimation (HP) | 99% | 29667 228.6 IPS | |
| Depth Estimation (Q) | 88% | 76894 598.5 IPS | |
| Style Transfer (SP) | 100% | 89736 115.4 IPS | |
| Style Transfer (HP) | 100% | 89541 115.1 IPS | |
| Style Transfer (Q) | 98% | 316678 408.4 IPS | |
| Image Super-Resolution (SP) | 100% | 16144 596.1 IPS | |
| Image Super-Resolution (HP) | 100% | 16379 604.8 IPS | |
| Image Super-Resolution (Q) | 99% | 41063 1.52 KIPS | |
| Text Classification (SP) | 100% | 5300 7.07 KIPS | |
| Text Classification (HP) | 100% | 5287 7.06 KIPS | |
| Text Classification (Q) | 92% | 6183 8.31 KIPS | |
| Machine Translation (SP) | 100% | 9339 160.9 IPS | |
| Machine Translation (HP) | 100% | 9596 165.3 IPS | |
| Machine Translation (Q) | 100% | 9788 168.6 IPS |