| User | domdtxdissar | 
| Upload Date | April 16 2025 02:11 AM | 
| Views | 6 | 
| 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% | 7731 1.44 KIPS | |
| Image Classification (HP) | 100% | 7857 1.46 KIPS | |
| Image Classification (Q) | 100% | 19773 3.68 KIPS | |
| Image Segmentation (SP) | 100% | 10375 168.2 IPS | |
| Image Segmentation (HP) | 100% | 11681 189.4 IPS | |
| Image Segmentation (Q) | 99% | 28522 462.4 IPS | |
| Pose Estimation (SP) | 100% | 35616 41.6 IPS | |
| Pose Estimation (HP) | 100% | 35720 41.7 IPS | |
| Pose Estimation (Q) | 98% | 137025 160.4 IPS | |
| Object Detection (SP) | 100% | 9428 747.8 IPS | |
| Object Detection (HP) | 100% | 9505 754.0 IPS | |
| Object Detection (Q) | 88% | 22351 1.79 KIPS | |
| Face Detection (SP) | 100% | 21326 253.4 IPS | |
| Face Detection (HP) | 100% | 21719 258.1 IPS | |
| Face Detection (Q) | 100% | 55400 658.3 IPS | |
| Depth Estimation (SP) | 100% | 29188 224.9 IPS | |
| Depth Estimation (HP) | 99% | 28380 218.6 IPS | |
| Depth Estimation (Q) | 88% | 77171 600.6 IPS | |
| Style Transfer (SP) | 100% | 89279 114.8 IPS | |
| Style Transfer (HP) | 100% | 90077 115.8 IPS | |
| Style Transfer (Q) | 98% | 319019 411.4 IPS | |
| Image Super-Resolution (SP) | 100% | 15825 584.3 IPS | |
| Image Super-Resolution (HP) | 100% | 16806 620.6 IPS | |
| Image Super-Resolution (Q) | 99% | 42269 1.57 KIPS | |
| Text Classification (SP) | 100% | 5244 7.00 KIPS | |
| Text Classification (HP) | 100% | 5287 7.06 KIPS | |
| Text Classification (Q) | 92% | 5913 7.94 KIPS | |
| Machine Translation (SP) | 100% | 9200 158.5 IPS | |
| Machine Translation (HP) | 100% | 9199 158.5 IPS | |
| Machine Translation (Q) | 100% | 10044 173.0 IPS |