| Upload Date | October 29 2025 01:02 PM | 
| Views | 2 | 
| AI Information | |
|---|---|
| Framework | OpenVINO | 
| Backend | GPU | 
| Device | Intel(R) Graphics (iGPU) | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | LENOVO 21RRS04B01 | 
| Motherboard | LENOVO 21RRS04B01 | 
| Power Plan | Balanced | 
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265HX | 
| Topology | 1 Processor, 20 Cores | 
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 | 
| Base Frequency | 2.60 GHz | 
| Cluster 1 | 8 Cores | 
| Cluster 2 | 12 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 3537 657.7 IPS | |
| Image Classification (HP) | 100% | 5147 957.2 IPS | |
| Image Classification (Q) | 100% | 7609 1.41 KIPS | |
| Image Segmentation (SP) | 100% | 3047 49.4 IPS | |
| Image Segmentation (HP) | 100% | 7577 122.8 IPS | |
| Image Segmentation (Q) | 99% | 10699 173.4 IPS | |
| Pose Estimation (SP) | 100% | 11382 13.3 IPS | |
| Pose Estimation (HP) | 99% | 10553 12.3 IPS | |
| Pose Estimation (Q) | 97% | 36152 42.3 IPS | |
| Object Detection (SP) | 100% | 3188 252.9 IPS | |
| Object Detection (HP) | 100% | 5427 430.5 IPS | |
| Object Detection (Q) | 88% | 8687 696.2 IPS | |
| Face Detection (SP) | 100% | 6277 74.6 IPS | |
| Face Detection (HP) | 100% | 12938 153.7 IPS | |
| Face Detection (Q) | 100% | 21705 257.9 IPS | |
| Depth Estimation (SP) | 100% | 11534 88.9 IPS | |
| Depth Estimation (HP) | 98% | 20769 160.5 IPS | |
| Depth Estimation (Q) | 89% | 24512 190.5 IPS | |
| Style Transfer (SP) | 100% | 27418 35.2 IPS | |
| Style Transfer (HP) | 100% | 38878 50.0 IPS | |
| Style Transfer (Q) | 98% | 84466 108.9 IPS | |
| Image Super-Resolution (SP) | 100% | 4900 180.9 IPS | |
| Image Super-Resolution (HP) | 100% | 8952 330.6 IPS | |
| Image Super-Resolution (Q) | 99% | 14395 533.1 IPS | |
| Text Classification (SP) | 71% | 1494 2.16 KIPS | |
| Text Classification (HP) | 71% | 2326 3.36 KIPS | |
| Text Classification (Q) | 92% | 2399 3.22 KIPS | |
| Machine Translation (SP) | 100% | 1690 29.1 IPS | |
| Machine Translation (HP) | 98% | 3333 57.6 IPS | |
| Machine Translation (Q) | 98% | 3375 58.3 IPS |