| Upload Date | October 30 2025 08:54 PM | 
| Views | 2 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | ASUSTeK COMPUTER INC. ProArt P16 H7606WX_H7606WX | 
| Motherboard | ASUSTeK COMPUTER INC. H7606WX | 
| Power Plan | Performance | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 | 
| 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 | 64.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 3017 561.0 IPS | |
| Image Classification (HP) | 100% | 580 108.0 IPS | |
| Image Classification (Q) | 99% | 7588 1.42 KIPS | |
| Image Segmentation (SP) | 100% | 1930 31.3 IPS | |
| Image Segmentation (HP) | 100% | 1060 17.2 IPS | |
| Image Segmentation (Q) | 98% | 4043 65.7 IPS | |
| Pose Estimation (SP) | 100% | 8141 9.50 IPS | |
| Pose Estimation (HP) | 100% | 6456 7.53 IPS | |
| Pose Estimation (Q) | 94% | 27943 32.8 IPS | |
| Object Detection (SP) | 100% | 3211 254.7 IPS | |
| Object Detection (HP) | 100% | 879 69.7 IPS | |
| Object Detection (Q) | 86% | 8161 655.9 IPS | |
| Face Detection (SP) | 100% | 6318 75.1 IPS | |
| Face Detection (HP) | 100% | 1957 23.3 IPS | |
| Face Detection (Q) | 97% | 11881 141.7 IPS | |
| Depth Estimation (SP) | 100% | 9122 70.3 IPS | |
| Depth Estimation (HP) | 99% | 2947 22.7 IPS | |
| Depth Estimation (Q) | 78% | 17736 141.5 IPS | |
| Style Transfer (SP) | 100% | 17994 23.1 IPS | |
| Style Transfer (HP) | 100% | 16403 21.1 IPS | |
| Style Transfer (Q) | 98% | 33241 42.9 IPS | |
| Image Super-Resolution (SP) | 100% | 2608 96.3 IPS | |
| Image Super-Resolution (HP) | 100% | 2296 84.8 IPS | |
| Image Super-Resolution (Q) | 99% | 4067 150.6 IPS | |
| Text Classification (SP) | 100% | 1722 2.30 KIPS | |
| Text Classification (HP) | 100% | 736 982.7 IPS | |
| Text Classification (Q) | 97% | 1788 2.40 KIPS | |
| Machine Translation (SP) | 100% | 2276 39.2 IPS | |
| Machine Translation (HP) | 100% | 765 13.2 IPS | |
| Machine Translation (Q) | 65% | 3678 73.9 IPS |