| User | domdtxdissar | 
| Upload Date | August 15 2024 06:34 PM | 
| Views | 16 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | AMD Eng Sample: 100-000001277-60_Y | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 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 Eng Sample: 100-000001277-60_Y | 
| Topology | 1 Processor, 16 Cores, 32 Threads | 
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 | 
| Base Frequency | 3.60 GHz | 
| Cluster 1 | 16 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 2834 527.0 IPS | |
| Image Classification (HP) | 100% | 237 44.1 IPS | |
| Image Classification (Q) | 99% | 6112 1.14 KIPS | |
| Image Segmentation (SP) | 100% | 2868 46.5 IPS | |
| Image Segmentation (HP) | 100% | 409 6.63 IPS | |
| Image Segmentation (Q) | 98% | 4933 80.2 IPS | |
| Pose Estimation (SP) | 100% | 19262 22.5 IPS | |
| Pose Estimation (HP) | 100% | 18574 21.7 IPS | |
| Pose Estimation (Q) | 95% | 87918 103.0 IPS | |
| Object Detection (SP) | 100% | 3388 268.8 IPS | |
| Object Detection (HP) | 100% | 328 26.0 IPS | |
| Object Detection (Q) | 88% | 3426 274.7 IPS | |
| Face Detection (SP) | 100% | 4766 56.6 IPS | |
| Face Detection (HP) | 100% | 505 6.00 IPS | |
| Face Detection (Q) | 97% | 7728 92.1 IPS | |
| Depth Estimation (SP) | 100% | 13576 104.6 IPS | |
| Depth Estimation (HP) | 99% | 1669 12.9 IPS | |
| Depth Estimation (Q) | 76% | 17652 142.2 IPS | |
| Style Transfer (SP) | 100% | 49050 63.1 IPS | |
| Style Transfer (HP) | 100% | 39973 51.4 IPS | |
| Style Transfer (Q) | 98% | 57725 74.4 IPS | |
| Image Super-Resolution (SP) | 100% | 4830 178.3 IPS | |
| Image Super-Resolution (HP) | 100% | 3739 138.1 IPS | |
| Image Super-Resolution (Q) | 99% | 6575 243.5 IPS | |
| Text Classification (SP) | 100% | 2334 3.12 KIPS | |
| Text Classification (HP) | 100% | 1009 1.35 KIPS | |
| Text Classification (Q) | 97% | 1869 2.50 KIPS | |
| Machine Translation (SP) | 100% | 4590 79.1 IPS | |
| Machine Translation (HP) | 100% | 1001 17.2 IPS | |
| Machine Translation (Q) | 60% | 4908 109.5 IPS |