| User | domdtxdissar | 
| Upload Date | April 15 2025 02:36 PM | 
| 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% | 7902 1.47 KIPS | |
| Image Classification (HP) | 100% | 7535 1.40 KIPS | |
| Image Classification (Q) | 100% | 19080 3.55 KIPS | |
| Image Segmentation (SP) | 100% | 10206 165.5 IPS | |
| Image Segmentation (HP) | 100% | 10642 172.5 IPS | |
| Image Segmentation (Q) | 99% | 30729 498.1 IPS | |
| Pose Estimation (SP) | 100% | 35046 40.9 IPS | |
| Pose Estimation (HP) | 100% | 34592 40.4 IPS | |
| Pose Estimation (Q) | 98% | 136102 159.3 IPS | |
| Object Detection (SP) | 100% | 9318 739.1 IPS | |
| Object Detection (HP) | 100% | 9723 771.2 IPS | |
| Object Detection (Q) | 88% | 22376 1.79 KIPS | |
| Face Detection (SP) | 100% | 20285 241.0 IPS | |
| Face Detection (HP) | 100% | 20467 243.2 IPS | |
| Face Detection (Q) | 100% | 57915 688.2 IPS | |
| Depth Estimation (SP) | 100% | 27739 213.7 IPS | |
| Depth Estimation (HP) | 99% | 27697 213.4 IPS | |
| Depth Estimation (Q) | 88% | 75866 590.5 IPS | |
| Style Transfer (SP) | 100% | 86435 111.1 IPS | |
| Style Transfer (HP) | 100% | 86612 111.3 IPS | |
| Style Transfer (Q) | 98% | 307719 396.8 IPS | |
| Image Super-Resolution (SP) | 100% | 15720 580.5 IPS | |
| Image Super-Resolution (HP) | 100% | 16320 602.6 IPS | |
| Image Super-Resolution (Q) | 99% | 41917 1.55 KIPS | |
| Text Classification (SP) | 100% | 5071 6.77 KIPS | |
| Text Classification (HP) | 100% | 5130 6.85 KIPS | |
| Text Classification (Q) | 92% | 6067 8.15 KIPS | |
| Machine Translation (SP) | 100% | 9498 163.6 IPS | |
| Machine Translation (HP) | 100% | 9490 163.5 IPS | |
| Machine Translation (Q) | 100% | 9691 166.9 IPS |