| User | dennis_dydx | 
| Upload Date | December 29 2024 10:56 AM | 
| Views | 17 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | Intel Core i9-13900K | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) | 
| Model | ASUS System Product Name | 
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 HERO | 
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K | 
| Topology | 1 Processor, 24 Cores, 32 Threads | 
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 | 
| Base Frequency | 3.00 GHz | 
| Cluster 1 | 8 Cores | 
| Cluster 2 | 16 Cores | 
| Memory Information | |
|---|---|
| Size | 96.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 4686 871.5 IPS | |
| Image Classification (HP) | 100% | 602 111.9 IPS | |
| Image Classification (Q) | 99% | 7394 1.38 KIPS | |
| Image Segmentation (SP) | 100% | 2586 41.9 IPS | |
| Image Segmentation (HP) | 100% | 1010 16.4 IPS | |
| Image Segmentation (Q) | 98% | 4295 69.8 IPS | |
| Pose Estimation (SP) | 100% | 13089 15.3 IPS | |
| Pose Estimation (HP) | 100% | 5487 6.40 IPS | |
| Pose Estimation (Q) | 94% | 36458 42.7 IPS | |
| Object Detection (SP) | 100% | 4632 367.4 IPS | |
| Object Detection (HP) | 100% | 778 61.7 IPS | |
| Object Detection (Q) | 86% | 7802 627.0 IPS | |
| Face Detection (SP) | 100% | 13260 157.6 IPS | |
| Face Detection (HP) | 100% | 1841 21.9 IPS | |
| Face Detection (Q) | 97% | 11321 135.0 IPS | |
| Depth Estimation (SP) | 100% | 14289 110.1 IPS | |
| Depth Estimation (HP) | 99% | 2372 18.3 IPS | |
| Depth Estimation (Q) | 78% | 18340 146.3 IPS | |
| Style Transfer (SP) | 100% | 28490 36.6 IPS | |
| Style Transfer (HP) | 100% | 13674 17.6 IPS | |
| Style Transfer (Q) | 98% | 30153 38.9 IPS | |
| Image Super-Resolution (SP) | 100% | 4431 163.6 IPS | |
| Image Super-Resolution (HP) | 100% | 2511 92.7 IPS | |
| Image Super-Resolution (Q) | 99% | 5014 185.7 IPS | |
| Text Classification (SP) | 100% | 1850 2.47 KIPS | |
| Text Classification (HP) | 100% | 846 1.13 KIPS | |
| Text Classification (Q) | 97% | 1715 2.30 KIPS | |
| Machine Translation (SP) | 100% | 2459 42.4 IPS | |
| Machine Translation (HP) | 100% | 863 14.9 IPS | |
| Machine Translation (Q) | 65% | 3265 65.6 IPS |