| User | Vlafi | 
| Upload Date | June 15 2025 08:34 PM | 
| Views | 4 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | Intel Core i9-11900K | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | Gigabyte Technology Co., Ltd. Z590 AORUS ULTRA | 
| Motherboard | Gigabyte Technology Co., Ltd. Z590 AORUS ULTRA | 
| Power Plan | Vysok vkon | 
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K | 
| Topology | 1 Processor, 8 Cores, 16 Threads | 
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 | 
| Base Frequency | 3.50 GHz | 
| Cluster 1 | 8 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 3636 676.2 IPS | |
| Image Classification (HP) | 100% | 587 109.2 IPS | |
| Image Classification (Q) | 99% | 8298 1.55 KIPS | |
| Image Segmentation (SP) | 100% | 1830 29.7 IPS | |
| Image Segmentation (HP) | 100% | 910 14.8 IPS | |
| Image Segmentation (Q) | 98% | 3552 57.8 IPS | |
| Pose Estimation (SP) | 100% | 7013 8.18 IPS | |
| Pose Estimation (HP) | 100% | 5794 6.76 IPS | |
| Pose Estimation (Q) | 94% | 24653 28.9 IPS | |
| Object Detection (SP) | 100% | 2638 209.3 IPS | |
| Object Detection (HP) | 100% | 775 61.5 IPS | |
| Object Detection (Q) | 86% | 8073 648.8 IPS | |
| Face Detection (SP) | 100% | 5064 60.2 IPS | |
| Face Detection (HP) | 100% | 1607 19.1 IPS | |
| Face Detection (Q) | 97% | 10015 119.4 IPS | |
| Depth Estimation (SP) | 100% | 9432 72.7 IPS | |
| Depth Estimation (HP) | 99% | 2501 19.3 IPS | |
| Depth Estimation (Q) | 78% | 17868 142.6 IPS | |
| Style Transfer (SP) | 100% | 18461 23.7 IPS | |
| Style Transfer (HP) | 100% | 14003 18.0 IPS | |
| Style Transfer (Q) | 98% | 23818 30.7 IPS | |
| Image Super-Resolution (SP) | 100% | 2969 109.6 IPS | |
| Image Super-Resolution (HP) | 100% | 2719 100.4 IPS | |
| Image Super-Resolution (Q) | 99% | 4597 170.2 IPS | |
| Text Classification (SP) | 100% | 1982 2.64 KIPS | |
| Text Classification (HP) | 100% | 990 1.32 KIPS | |
| Text Classification (Q) | 97% | 1730 2.32 KIPS | |
| Machine Translation (SP) | 100% | 2349 40.5 IPS | |
| Machine Translation (HP) | 100% | 855 14.7 IPS | |
| Machine Translation (Q) | 65% | 3451 69.3 IPS |