| User | Betancd | 
| Upload Date | September 29 2024 10:26 PM | 
| Views | 15 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | Intel Core i7-13700KF | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) | 
| Model | ASUSTeK COMPUTER INC. ROG STRIX G16CH_G16CH | 
| Motherboard | ASUSTeK COMPUTER INC. G16CH | 
| Power Plan | Performance | 
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700KF | 
| Topology | 1 Processor, 16 Cores, 24 Threads | 
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 | 
| Base Frequency | 3.40 GHz | 
| Cluster 1 | 8 Cores | 
| Cluster 2 | 8 Cores | 
| Memory Information | |
|---|---|
| Size | 64.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 2122 394.6 IPS | |
| Image Classification (HP) | 100% | 544 101.2 IPS | |
| Image Classification (Q) | 99% | 4279 798.1 IPS | |
| Image Segmentation (SP) | 100% | 1802 29.2 IPS | |
| Image Segmentation (HP) | 100% | 1079 17.5 IPS | |
| Image Segmentation (Q) | 98% | 3174 51.6 IPS | |
| Pose Estimation (SP) | 100% | 8457 9.87 IPS | |
| Pose Estimation (HP) | 100% | 4763 5.56 IPS | |
| Pose Estimation (Q) | 95% | 26632 31.2 IPS | |
| Object Detection (SP) | 100% | 2330 184.8 IPS | |
| Object Detection (HP) | 100% | 712 56.5 IPS | |
| Object Detection (Q) | 88% | 2234 179.1 IPS | |
| Face Detection (SP) | 100% | 2810 33.4 IPS | |
| Face Detection (HP) | 100% | 1567 18.6 IPS | |
| Face Detection (Q) | 97% | 3754 44.8 IPS | |
| Depth Estimation (SP) | 100% | 7620 58.7 IPS | |
| Depth Estimation (HP) | 99% | 2201 17.0 IPS | |
| Depth Estimation (Q) | 77% | 7749 62.0 IPS | |
| Style Transfer (SP) | 100% | 18581 23.9 IPS | |
| Style Transfer (HP) | 100% | 12078 15.5 IPS | |
| Style Transfer (Q) | 98% | 16658 21.5 IPS | |
| Image Super-Resolution (SP) | 100% | 3291 121.5 IPS | |
| Image Super-Resolution (HP) | 100% | 2099 77.5 IPS | |
| Image Super-Resolution (Q) | 99% | 4762 176.3 IPS | |
| Text Classification (SP) | 100% | 1820 2.43 KIPS | |
| Text Classification (HP) | 100% | 710 948.1 IPS | |
| Text Classification (Q) | 97% | 577 773.1 IPS | |
| Machine Translation (SP) | 100% | 2024 34.9 IPS | |
| Machine Translation (HP) | 100% | 727 12.5 IPS | |
| Machine Translation (Q) | 60% | 2417 53.9 IPS |