| Upload Date | October 29 2025 01:09 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% | 4049 753.1 IPS | |
| Image Classification (HP) | 100% | 7005 1.30 KIPS | |
| Image Classification (Q) | 100% | 9794 1.82 KIPS | |
| Image Segmentation (SP) | 100% | 5321 86.3 IPS | |
| Image Segmentation (HP) | 100% | 2763 44.8 IPS | |
| Image Segmentation (Q) | 99% | 3468 56.2 IPS | |
| Pose Estimation (SP) | 100% | 7950 9.28 IPS | |
| Pose Estimation (HP) | 100% | 34584 40.4 IPS | |
| Pose Estimation (Q) | 96% | 74570 87.4 IPS | |
| Object Detection (SP) | 100% | 3843 304.9 IPS | |
| Object Detection (HP) | 100% | 6005 476.4 IPS | |
| Object Detection (Q) | 87% | 9848 790.3 IPS | |
| Face Detection (SP) | 100% | 11161 132.6 IPS | |
| Face Detection (HP) | 100% | 16581 197.0 IPS | |
| Face Detection (Q) | 100% | 32689 388.4 IPS | |
| Depth Estimation (SP) | 100% | 10092 77.8 IPS | |
| Depth Estimation (HP) | 99% | 16358 126.0 IPS | |
| Depth Estimation (Q) | 88% | 30377 236.4 IPS | |
| Style Transfer (SP) | 100% | 23533 30.3 IPS | |
| Style Transfer (HP) | 100% | 50230 64.6 IPS | |
| Style Transfer (Q) | 98% | 89001 114.8 IPS | |
| Image Super-Resolution (SP) | 100% | 4843 178.8 IPS | |
| Image Super-Resolution (HP) | 100% | 14156 522.7 IPS | |
| Image Super-Resolution (Q) | 99% | 23520 871.0 IPS | |
| Text Classification (SP) | 100% | 4034 5.38 KIPS | |
| Text Classification (HP) | 100% | 2146 2.86 KIPS | |
| Text Classification (Q) | 92% | 2137 2.87 KIPS | |
| Machine Translation (SP) | 100% | 4956 85.4 IPS | |
| Machine Translation (HP) | 100% | 4230 72.9 IPS | |
| Machine Translation (Q) | 100% | 4314 74.3 IPS |