| User | domdtxdissar | 
| Upload Date | September 19 2024 07:57 PM | 
| Views | 15 | 
| AI Information | |
|---|---|
| Framework | OpenVINO | 
| Backend | CPU | 
| Device | AMD Ryzen 9 7950X3D 16-Core Processor | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) | 
| Model | ASUS System Product Name | 
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE | 
| Power Plan | Balanced | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D | 
| Topology | 1 Processor, 16 Cores, 32 Threads | 
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 | 
| Base Frequency | 4.20 GHz | 
| Cluster 1 | 16 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 5332 991.6 IPS | |
| Image Classification (HP) | 100% | 5372 999.0 IPS | |
| Image Classification (Q) | 100% | 11547 2.15 KIPS | |
| Image Segmentation (SP) | 100% | 5202 84.3 IPS | |
| Image Segmentation (HP) | 100% | 5114 82.9 IPS | |
| Image Segmentation (Q) | 99% | 11670 189.2 IPS | |
| Pose Estimation (SP) | 100% | 17479 20.4 IPS | |
| Pose Estimation (HP) | 100% | 17449 20.4 IPS | |
| Pose Estimation (Q) | 98% | 66084 77.4 IPS | |
| Object Detection (SP) | 100% | 5858 464.7 IPS | |
| Object Detection (HP) | 100% | 5855 464.4 IPS | |
| Object Detection (Q) | 88% | 13266 1.06 KIPS | |
| Face Detection (SP) | 100% | 15571 185.0 IPS | |
| Face Detection (HP) | 100% | 15251 181.2 IPS | |
| Face Detection (Q) | 100% | 36556 434.4 IPS | |
| Depth Estimation (SP) | 100% | 18276 140.8 IPS | |
| Depth Estimation (HP) | 99% | 17871 137.7 IPS | |
| Depth Estimation (Q) | 88% | 42898 333.8 IPS | |
| Style Transfer (SP) | 100% | 43709 56.2 IPS | |
| Style Transfer (HP) | 100% | 41365 53.2 IPS | |
| Style Transfer (Q) | 98% | 146839 189.3 IPS | |
| Image Super-Resolution (SP) | 100% | 8755 323.3 IPS | |
| Image Super-Resolution (HP) | 100% | 8642 319.1 IPS | |
| Image Super-Resolution (Q) | 99% | 23855 883.5 IPS | |
| Text Classification (SP) | 100% | 4162 5.56 KIPS | |
| Text Classification (HP) | 100% | 4120 5.50 KIPS | |
| Text Classification (Q) | 92% | 4733 6.36 KIPS | |
| Machine Translation (SP) | 100% | 5697 98.1 IPS | |
| Machine Translation (HP) | 100% | 5618 96.8 IPS | |
| Machine Translation (Q) | 100% | 5886 101.4 IPS |