| Upload Date | August 27 2024 07:45 AM | 
| Views | 20 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | Intel Core i9-13900K | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | bluechip Computer AG BUSINESSline | 
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z790-P | 
| Power Plan | Ausbalanciert | 
| 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 | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 2458 457.0 IPS | |
| Image Classification (HP) | 100% | 150 27.9 IPS | |
| Image Classification (Q) | 99% | 4541 847.0 IPS | |
| Image Segmentation (SP) | 100% | 2109 34.2 IPS | |
| Image Segmentation (HP) | 100% | 280 4.53 IPS | |
| Image Segmentation (Q) | 98% | 4038 65.7 IPS | |
| Pose Estimation (SP) | 100% | 11534 13.5 IPS | |
| Pose Estimation (HP) | 100% | 4751 5.54 IPS | |
| Pose Estimation (Q) | 95% | 37668 44.1 IPS | |
| Object Detection (SP) | 100% | 2758 218.7 IPS | |
| Object Detection (HP) | 100% | 214 17.0 IPS | |
| Object Detection (Q) | 88% | 2691 215.7 IPS | |
| Face Detection (SP) | 100% | 4685 55.7 IPS | |
| Face Detection (HP) | 100% | 327 3.88 IPS | |
| Face Detection (Q) | 97% | 5635 67.2 IPS | |
| Depth Estimation (SP) | 100% | 10795 83.2 IPS | |
| Depth Estimation (HP) | 99% | 974 7.50 IPS | |
| Depth Estimation (Q) | 76% | 10681 86.1 IPS | |
| Style Transfer (SP) | 100% | 25112 32.3 IPS | |
| Style Transfer (HP) | 100% | 11748 15.1 IPS | |
| Style Transfer (Q) | 98% | 26741 34.5 IPS | |
| Image Super-Resolution (SP) | 100% | 3751 138.5 IPS | |
| Image Super-Resolution (HP) | 100% | 2155 79.6 IPS | |
| Image Super-Resolution (Q) | 99% | 5887 218.0 IPS | |
| Text Classification (SP) | 100% | 1798 2.40 KIPS | |
| Text Classification (HP) | 100% | 708 945.1 IPS | |
| Text Classification (Q) | 97% | 1748 2.34 KIPS | |
| Machine Translation (SP) | 100% | 2100 36.2 IPS | |
| Machine Translation (HP) | 100% | 700 12.1 IPS | |
| Machine Translation (Q) | 60% | 3035 67.7 IPS |