| User | james_kwit | 
| Upload Date | October 29 2025 01:44 PM | 
| Views | 2 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | AMD Ryzen 9 7945HX | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | Micro Computer (HK) Tech Limited MotherBoard Series | 
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd DRFXL | 
| Power Plan | Balanced | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7945HX | 
| Topology | 1 Processor, 16 Cores, 32 Threads | 
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 | 
| Base Frequency | 2.50 GHz | 
| Cluster 1 | 16 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 4261 792.4 IPS | |
| Image Classification (HP) | 100% | 584 108.6 IPS | |
| Image Classification (Q) | 99% | 8890 1.66 KIPS | |
| Image Segmentation (SP) | 100% | 1692 27.4 IPS | |
| Image Segmentation (HP) | 100% | 834 13.5 IPS | |
| Image Segmentation (Q) | 98% | 12448 202.4 IPS | |
| Pose Estimation (SP) | 100% | 13833 16.1 IPS | |
| Pose Estimation (HP) | 100% | 9533 11.1 IPS | |
| Pose Estimation (Q) | 94% | 40531 47.5 IPS | |
| Object Detection (SP) | 100% | 3828 303.6 IPS | |
| Object Detection (HP) | 100% | 786 62.4 IPS | |
| Object Detection (Q) | 86% | 8780 705.6 IPS | |
| Face Detection (SP) | 100% | 7044 83.7 IPS | |
| Face Detection (HP) | 100% | 1467 17.4 IPS | |
| Face Detection (Q) | 97% | 12328 147.0 IPS | |
| Depth Estimation (SP) | 100% | 11789 90.8 IPS | |
| Depth Estimation (HP) | 99% | 2837 21.9 IPS | |
| Depth Estimation (Q) | 78% | 20003 159.6 IPS | |
| Style Transfer (SP) | 100% | 26968 34.7 IPS | |
| Style Transfer (HP) | 100% | 23421 30.1 IPS | |
| Style Transfer (Q) | 98% | 30279 39.0 IPS | |
| Image Super-Resolution (SP) | 100% | 2685 99.1 IPS | |
| Image Super-Resolution (HP) | 100% | 2423 89.5 IPS | |
| Image Super-Resolution (Q) | 99% | 4895 181.2 IPS | |
| Text Classification (SP) | 100% | 1552 2.07 KIPS | |
| Text Classification (HP) | 100% | 789 1.05 KIPS | |
| Text Classification (Q) | 97% | 1297 1.74 KIPS | |
| Machine Translation (SP) | 100% | 2660 45.8 IPS | |
| Machine Translation (HP) | 100% | 1023 17.6 IPS | |
| Machine Translation (Q) | 65% | 3771 75.8 IPS |