| Upload Date | October 29 2025 03:30 PM | 
| Views | 1 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | Intel(R) Core(TM) Ultra 7 265KF | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) | 
| Model | ASUS System Product Name | 
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z890-P | 
| Power Plan | AMD Ryzen Balanced | 
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF | 
| Topology | 1 Processor, 20 Cores | 
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 | 
| Base Frequency | 3.90 GHz | 
| Cluster 1 | 8 Cores | 
| Cluster 2 | 12 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 5236 973.7 IPS | |
| Image Classification (HP) | 100% | 863 160.5 IPS | |
| Image Classification (Q) | 99% | 9074 1.69 KIPS | |
| Image Segmentation (SP) | 100% | 2814 45.6 IPS | |
| Image Segmentation (HP) | 100% | 1575 25.5 IPS | |
| Image Segmentation (Q) | 98% | 15974 259.7 IPS | |
| Pose Estimation (SP) | 100% | 13890 16.2 IPS | |
| Pose Estimation (HP) | 100% | 8091 9.44 IPS | |
| Pose Estimation (Q) | 94% | 43195 50.6 IPS | |
| Object Detection (SP) | 100% | 4522 358.7 IPS | |
| Object Detection (HP) | 100% | 1143 90.7 IPS | |
| Object Detection (Q) | 86% | 10723 861.8 IPS | |
| Face Detection (SP) | 100% | 14054 167.0 IPS | |
| Face Detection (HP) | 100% | 2444 29.0 IPS | |
| Face Detection (Q) | 97% | 12930 154.2 IPS | |
| Depth Estimation (SP) | 100% | 15047 115.9 IPS | |
| Depth Estimation (HP) | 99% | 3475 26.8 IPS | |
| Depth Estimation (Q) | 78% | 22760 181.6 IPS | |
| Style Transfer (SP) | 100% | 31129 40.0 IPS | |
| Style Transfer (HP) | 100% | 20133 25.9 IPS | |
| Style Transfer (Q) | 98% | 25021 32.3 IPS | |
| Image Super-Resolution (SP) | 100% | 5116 188.9 IPS | |
| Image Super-Resolution (HP) | 100% | 3560 131.5 IPS | |
| Image Super-Resolution (Q) | 99% | 7007 259.5 IPS | |
| Text Classification (SP) | 100% | 1923 2.57 KIPS | |
| Text Classification (HP) | 100% | 1022 1.36 KIPS | |
| Text Classification (Q) | 97% | 1666 2.23 KIPS | |
| Machine Translation (SP) | 100% | 2931 50.5 IPS | |
| Machine Translation (HP) | 100% | 1419 24.4 IPS | |
| Machine Translation (Q) | 65% | 4363 87.7 IPS |