| User | arefuiryentwrbe | 
| Upload Date | September 04 2025 07:55 AM | 
| Views | 9 | 
| AI Information | |
|---|---|
| Framework | OpenVINO | 
| Backend | CPU | 
| Device | AMD Ryzen 9 9950X 16-Core Processor | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | ASUS System Product Name | 
| Motherboard | ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI | 
| Power Plan | Balanced | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X | 
| 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 | 128.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 5747 1.07 KIPS | |
| Image Classification (HP) | 100% | 6297 1.17 KIPS | |
| Image Classification (Q) | 100% | 15787 2.94 KIPS | |
| Image Segmentation (SP) | 100% | 7307 118.5 IPS | |
| Image Segmentation (HP) | 100% | 7082 114.8 IPS | |
| Image Segmentation (Q) | 99% | 20578 333.6 IPS | |
| Pose Estimation (SP) | 100% | 26115 30.5 IPS | |
| Pose Estimation (HP) | 100% | 25578 29.8 IPS | |
| Pose Estimation (Q) | 98% | 105693 123.7 IPS | |
| Object Detection (SP) | 100% | 6369 505.2 IPS | |
| Object Detection (HP) | 100% | 6554 519.9 IPS | |
| Object Detection (Q) | 88% | 17301 1.39 KIPS | |
| Face Detection (SP) | 100% | 13420 159.5 IPS | |
| Face Detection (HP) | 100% | 12230 145.3 IPS | |
| Face Detection (Q) | 100% | 39970 474.9 IPS | |
| Depth Estimation (SP) | 100% | 17721 136.5 IPS | |
| Depth Estimation (HP) | 99% | 17655 136.0 IPS | |
| Depth Estimation (Q) | 88% | 53952 419.9 IPS | |
| Style Transfer (SP) | 100% | 65330 84.0 IPS | |
| Style Transfer (HP) | 100% | 67075 86.2 IPS | |
| Style Transfer (Q) | 98% | 239387 308.7 IPS | |
| Image Super-Resolution (SP) | 100% | 11905 439.6 IPS | |
| Image Super-Resolution (HP) | 100% | 12241 452.0 IPS | |
| Image Super-Resolution (Q) | 99% | 32623 1.21 KIPS | |
| Text Classification (SP) | 100% | 4046 5.40 KIPS | |
| Text Classification (HP) | 100% | 4158 5.55 KIPS | |
| Text Classification (Q) | 92% | 5046 6.78 KIPS | |
| Machine Translation (SP) | 100% | 5832 100.5 IPS | |
| Machine Translation (HP) | 100% | 6014 103.6 IPS | |
| Machine Translation (Q) | 100% | 6479 111.6 IPS |