| User | NeilB | 
| Upload Date | September 24 2024 07:30 AM | 
| Views | 18 | 
| 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. ROG CROSSHAIR X670E GENE | 
| Power Plan | Balanced | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 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% | 7493 1.39 KIPS | |
| Image Classification (HP) | 100% | 7712 1.43 KIPS | |
| Image Classification (Q) | 100% | 16266 3.02 KIPS | |
| Image Segmentation (SP) | 100% | 8916 144.5 IPS | |
| Image Segmentation (HP) | 100% | 9346 151.5 IPS | |
| Image Segmentation (Q) | 99% | 18665 302.6 IPS | |
| Pose Estimation (SP) | 100% | 33546 39.1 IPS | |
| Pose Estimation (HP) | 100% | 33861 39.5 IPS | |
| Pose Estimation (Q) | 98% | 135728 158.9 IPS | |
| Object Detection (SP) | 100% | 8488 673.3 IPS | |
| Object Detection (HP) | 100% | 8736 693.0 IPS | |
| Object Detection (Q) | 88% | 19036 1.53 KIPS | |
| Face Detection (SP) | 100% | 19122 227.2 IPS | |
| Face Detection (HP) | 100% | 19648 233.5 IPS | |
| Face Detection (Q) | 100% | 47165 560.4 IPS | |
| Depth Estimation (SP) | 100% | 26264 202.3 IPS | |
| Depth Estimation (HP) | 100% | 26130 201.3 IPS | |
| Depth Estimation (Q) | 80% | 68146 540.1 IPS | |
| Style Transfer (SP) | 100% | 87454 112.4 IPS | |
| Style Transfer (HP) | 100% | 88083 113.2 IPS | |
| Style Transfer (Q) | 98% | 308494 397.8 IPS | |
| Image Super-Resolution (SP) | 100% | 15693 579.5 IPS | |
| Image Super-Resolution (HP) | 100% | 15360 567.2 IPS | |
| Image Super-Resolution (Q) | 99% | 40822 1.51 KIPS | |
| Text Classification (SP) | 100% | 5123 6.84 KIPS | |
| Text Classification (HP) | 100% | 5121 6.84 KIPS | |
| Text Classification (Q) | 92% | 6162 8.28 KIPS | |
| Machine Translation (SP) | 100% | 7607 131.0 IPS | |
| Machine Translation (HP) | 100% | 7578 130.5 IPS | |
| Machine Translation (Q) | 85% | 7127 124.6 IPS |