| User | ery | 
| Upload Date | December 04 2024 10:43 AM | 
| Views | 6 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | DirectML | 
| Device | AMD Radeon 780M Graphics | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | AZW GTR | 
| Motherboard | AZW GTR | 
| Power Plan | Balanced | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS | 
| Topology | 1 Processor, 8 Cores, 16 Threads | 
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 | 
| Base Frequency | 3.80 GHz | 
| Cluster 1 | 8 Cores | 
| Memory Information | |
|---|---|
| Size | 64.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 2906 540.5 IPS | |
| Image Classification (HP) | 100% | 4711 876.1 IPS | |
| Image Classification (Q) | 100% | 2726 506.9 IPS | |
| Image Segmentation (SP) | 100% | 3596 58.3 IPS | |
| Image Segmentation (HP) | 100% | 4422 71.7 IPS | |
| Image Segmentation (Q) | 98% | 2931 47.7 IPS | |
| Pose Estimation (SP) | 100% | 39398 46.0 IPS | |
| Pose Estimation (HP) | 100% | 71257 83.1 IPS | |
| Pose Estimation (Q) | 96% | 28040 32.8 IPS | |
| Object Detection (SP) | 100% | 2549 202.2 IPS | |
| Object Detection (HP) | 100% | 3736 296.3 IPS | |
| Object Detection (Q) | 87% | 2327 186.9 IPS | |
| Face Detection (SP) | 100% | 5540 65.8 IPS | |
| Face Detection (HP) | 100% | 10090 119.9 IPS | |
| Face Detection (Q) | 97% | 4636 55.3 IPS | |
| Depth Estimation (SP) | 100% | 16786 129.3 IPS | |
| Depth Estimation (HP) | 99% | 25545 196.8 IPS | |
| Depth Estimation (Q) | 77% | 12685 101.7 IPS | |
| Style Transfer (SP) | 100% | 68422 88.0 IPS | |
| Style Transfer (HP) | 100% | 109006 140.1 IPS | |
| Style Transfer (Q) | 98% | 42804 55.2 IPS | |
| Image Super-Resolution (SP) | 100% | 13265 489.8 IPS | |
| Image Super-Resolution (HP) | 100% | 19427 717.3 IPS | |
| Image Super-Resolution (Q) | 99% | 7977 295.4 IPS | |
| Text Classification (SP) | 100% | 2447 3.27 KIPS | |
| Text Classification (HP) | 100% | 2763 3.69 KIPS | |
| Text Classification (Q) | 97% | 1766 2.37 KIPS | |
| Machine Translation (SP) | 100% | 2686 46.3 IPS | |
| Machine Translation (HP) | 100% | 3057 52.7 IPS | |
| Machine Translation (Q) | 70% | 1538 28.8 IPS |