| User | hanyu | 
| Upload Date | August 16 2024 02:29 AM | 
| Views | 6 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) | 
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401WV_FA401WV | 
| Motherboard | ASUSTeK COMPUTER INC. FA401WV | 
| Power Plan | Turbo | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M | 
| Topology | 1 Processor, 12 Cores, 24 Threads | 
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 | 
| Base Frequency | 2.00 GHz | 
| Cluster 1 | 4 Cores | 
| Cluster 2 | 8 Cores | 
| Memory Information | |
|---|---|
| Size | 16.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 1381 256.7 IPS | |
| Image Classification (HP) | 100% | 177 33.0 IPS | |
| Image Classification (Q) | 99% | 3691 688.5 IPS | |
| Image Segmentation (SP) | 100% | 1017 16.5 IPS | |
| Image Segmentation (HP) | 100% | 283 4.58 IPS | |
| Image Segmentation (Q) | 98% | 3195 52.0 IPS | |
| Pose Estimation (SP) | 100% | 8184 9.55 IPS | |
| Pose Estimation (HP) | 100% | 6269 7.31 IPS | |
| Pose Estimation (Q) | 95% | 28445 33.3 IPS | |
| Object Detection (SP) | 100% | 1784 141.5 IPS | |
| Object Detection (HP) | 100% | 247 19.6 IPS | |
| Object Detection (Q) | 88% | 1918 153.8 IPS | |
| Face Detection (SP) | 100% | 2614 31.1 IPS | |
| Face Detection (HP) | 100% | 375 4.46 IPS | |
| Face Detection (Q) | 97% | 4832 57.6 IPS | |
| Depth Estimation (SP) | 100% | 6483 49.9 IPS | |
| Depth Estimation (HP) | 99% | 1199 9.24 IPS | |
| Depth Estimation (Q) | 76% | 10555 85.0 IPS | |
| Style Transfer (SP) | 100% | 17183 22.1 IPS | |
| Style Transfer (HP) | 100% | 15684 20.2 IPS | |
| Style Transfer (Q) | 98% | 27667 35.7 IPS | |
| Image Super-Resolution (SP) | 100% | 2314 85.5 IPS | |
| Image Super-Resolution (HP) | 100% | 2091 77.2 IPS | |
| Image Super-Resolution (Q) | 99% | 3623 134.2 IPS | |
| Text Classification (SP) | 100% | 1370 1.83 KIPS | |
| Text Classification (HP) | 100% | 620 827.7 IPS | |
| Text Classification (Q) | 97% | 1359 1.82 KIPS | |
| Machine Translation (SP) | 100% | 2361 40.7 IPS | |
| Machine Translation (HP) | 100% | 613 10.6 IPS | |
| Machine Translation (Q) | 60% | 2727 60.8 IPS |