| User | oldnick | 
| Upload Date | April 26 2025 09:12 PM | 
| Views | 5 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | Intel Core i9-13900HX | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | Dell Inc. Dell G16 7630 | 
| Motherboard | Dell Inc. 0V4JDG | 
| Power Plan | Balanced | 
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HX | 
| Topology | 1 Processor, 24 Cores, 32 Threads | 
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 | 
| Base Frequency | 2.20 GHz | 
| Cluster 1 | 8 Cores | 
| Cluster 2 | 16 Cores | 
| Memory Information | |
|---|---|
| Size | 64.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 3753 697.9 IPS | |
| Image Classification (HP) | 100% | 498 92.5 IPS | |
| Image Classification (Q) | 99% | 6191 1.15 KIPS | |
| Image Segmentation (SP) | 100% | 2140 34.7 IPS | |
| Image Segmentation (HP) | 100% | 876 14.2 IPS | |
| Image Segmentation (Q) | 98% | 3500 56.9 IPS | |
| Pose Estimation (SP) | 100% | 9681 11.3 IPS | |
| Pose Estimation (HP) | 100% | 4056 4.73 IPS | |
| Pose Estimation (Q) | 94% | 27828 32.6 IPS | |
| Object Detection (SP) | 100% | 3634 288.2 IPS | |
| Object Detection (HP) | 100% | 614 48.7 IPS | |
| Object Detection (Q) | 86% | 6860 551.3 IPS | |
| Face Detection (SP) | 100% | 10625 126.3 IPS | |
| Face Detection (HP) | 100% | 1508 17.9 IPS | |
| Face Detection (Q) | 97% | 10555 125.8 IPS | |
| Depth Estimation (SP) | 100% | 10938 84.3 IPS | |
| Depth Estimation (HP) | 99% | 1823 14.0 IPS | |
| Depth Estimation (Q) | 78% | 16029 127.9 IPS | |
| Style Transfer (SP) | 100% | 21498 27.6 IPS | |
| Style Transfer (HP) | 100% | 10748 13.8 IPS | |
| Style Transfer (Q) | 98% | 24612 31.7 IPS | |
| Image Super-Resolution (SP) | 100% | 3460 127.8 IPS | |
| Image Super-Resolution (HP) | 100% | 1969 72.7 IPS | |
| Image Super-Resolution (Q) | 99% | 4996 185.0 IPS | |
| Text Classification (SP) | 100% | 1442 1.92 KIPS | |
| Text Classification (HP) | 100% | 655 873.7 IPS | |
| Text Classification (Q) | 97% | 1458 1.95 KIPS | |
| Machine Translation (SP) | 100% | 2091 36.0 IPS | |
| Machine Translation (HP) | 100% | 766 13.2 IPS | |
| Machine Translation (Q) | 65% | 3579 71.9 IPS |