| Upload Date | October 29 2025 01:07 PM | 
| Views | 2 | 
| AI Information | |
|---|---|
| Framework | OpenVINO | 
| Backend | NPU | 
| Device | Intel(R) AI Boost | 
| 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% | 4105 763.5 IPS | |
| Image Classification (HP) | 100% | 7190 1.34 KIPS | |
| Image Classification (Q) | 100% | 10217 1.90 KIPS | |
| Image Segmentation (SP) | 100% | 5249 85.1 IPS | |
| Image Segmentation (HP) | 100% | 2765 44.8 IPS | |
| Image Segmentation (Q) | 99% | 3531 57.2 IPS | |
| Pose Estimation (SP) | 100% | 7955 9.28 IPS | |
| Pose Estimation (HP) | 100% | 34682 40.5 IPS | |
| Pose Estimation (Q) | 96% | 74020 86.7 IPS | |
| Object Detection (SP) | 100% | 3866 306.7 IPS | |
| Object Detection (HP) | 100% | 6006 476.4 IPS | |
| Object Detection (Q) | 87% | 9850 790.5 IPS | |
| Face Detection (SP) | 100% | 11437 135.9 IPS | |
| Face Detection (HP) | 100% | 16554 196.7 IPS | |
| Face Detection (Q) | 100% | 33238 394.9 IPS | |
| Depth Estimation (SP) | 100% | 9947 76.6 IPS | |
| Depth Estimation (HP) | 99% | 16288 125.5 IPS | |
| Depth Estimation (Q) | 88% | 30042 233.8 IPS | |
| Style Transfer (SP) | 100% | 23943 30.8 IPS | |
| Style Transfer (HP) | 100% | 50023 64.3 IPS | |
| Style Transfer (Q) | 98% | 91323 117.8 IPS | |
| Image Super-Resolution (SP) | 100% | 4965 183.4 IPS | |
| Image Super-Resolution (HP) | 100% | 14255 526.4 IPS | |
| Image Super-Resolution (Q) | 99% | 23852 883.3 IPS | |
| Text Classification (SP) | 100% | 4057 5.42 KIPS | |
| Text Classification (HP) | 100% | 2251 3.00 KIPS | |
| Text Classification (Q) | 92% | 2231 3.00 KIPS | |
| Machine Translation (SP) | 100% | 4781 82.4 IPS | |
| Machine Translation (HP) | 100% | 4252 73.2 IPS | |
| Machine Translation (Q) | 100% | 4329 74.6 IPS |