| Upload Date | October 30 2025 01:15 AM | 
| Views | 2 | 
| AI Information | |
|---|---|
| Framework | OpenVINO | 
| Backend | NPU | 
| Device | Intel(R) AI Boost | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) | 
| Model | HP HP ProBook 4 G1i 16 inch Notebook AI PC | 
| Motherboard | HP 8DEA | 
| Power Plan | HP Optimized (Modern Standby) | 
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225U | 
| Topology | 1 Processor, 12 Cores, 14 Threads | 
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 | 
| Base Frequency | 1.50 GHz | 
| Cluster 1 | 2 Cores | 
| Cluster 2 | 10 Cores | 
| Memory Information | |
|---|---|
| Size | 64.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 1077 200.2 IPS | |
| Image Classification (HP) | 100% | 6224 1.16 KIPS | |
| Image Classification (Q) | 100% | 8607 1.60 KIPS | |
| Image Segmentation (SP) | 100% | 1745 28.3 IPS | |
| Image Segmentation (HP) | 100% | 2709 43.9 IPS | |
| Image Segmentation (Q) | 99% | 3672 59.5 IPS | |
| Pose Estimation (SP) | 100% | 2795 3.26 IPS | |
| Pose Estimation (HP) | 100% | 32190 37.6 IPS | |
| Pose Estimation (Q) | 96% | 69768 81.7 IPS | |
| Object Detection (SP) | 100% | 1000 79.3 IPS | |
| Object Detection (HP) | 100% | 5585 443.0 IPS | |
| Object Detection (Q) | 87% | 8997 722.1 IPS | |
| Face Detection (SP) | 100% | 3400 40.4 IPS | |
| Face Detection (HP) | 100% | 15088 179.3 IPS | |
| Face Detection (Q) | 100% | 26570 315.7 IPS | |
| Depth Estimation (SP) | 100% | 2917 22.5 IPS | |
| Depth Estimation (HP) | 99% | 13039 100.5 IPS | |
| Depth Estimation (Q) | 88% | 32161 250.2 IPS | |
| Style Transfer (SP) | 100% | 7301 9.39 IPS | |
| Style Transfer (HP) | 100% | 48902 62.9 IPS | |
| Style Transfer (Q) | 98% | 90490 116.7 IPS | |
| Image Super-Resolution (SP) | 100% | 1253 46.3 IPS | |
| Image Super-Resolution (HP) | 100% | 12422 458.7 IPS | |
| Image Super-Resolution (Q) | 99% | 20943 775.6 IPS | |
| Text Classification (SP) | 100% | 1158 1.55 KIPS | |
| Text Classification (HP) | 100% | 1630 2.18 KIPS | |
| Text Classification (Q) | 92% | 1800 2.42 KIPS | |
| Machine Translation (SP) | 100% | 1468 25.3 IPS | |
| Machine Translation (HP) | 100% | 3836 66.1 IPS | |
| Machine Translation (Q) | 100% | 4184 72.1 IPS |