| Upload Date | August 28 2025 10:05 PM | 
| Views | 4 | 
| AI Information | |
|---|---|
| Framework | OpenVINO | 
| Backend | CPU | 
| Device | 13th Gen Intel(R) Core(TM) i5-1345U | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | HP HP EliteBook 840 14 inch G10 Notebook PC | 
| Motherboard | HP 8B41 | 
| Power Plan | HP Optimized (Modern Standby) | 
| CPU Information | |
|---|---|
| Name | Intel Core i5-1345U | 
| Topology | 1 Processor, 10 Cores, 12 Threads | 
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 | 
| Base Frequency | 1.60 GHz | 
| Cluster 1 | 2 Cores | 
| Cluster 2 | 8 Cores | 
| Memory Information | |
|---|---|
| Size | 16.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 1292 240.3 IPS | |
| Image Classification (HP) | 100% | 1299 241.6 IPS | |
| Image Classification (Q) | 100% | 2716 505.1 IPS | |
| Image Segmentation (SP) | 100% | 1858 30.1 IPS | |
| Image Segmentation (HP) | 100% | 1990 32.3 IPS | |
| Image Segmentation (Q) | 99% | 3367 54.6 IPS | |
| Pose Estimation (SP) | 100% | 3258 3.80 IPS | |
| Pose Estimation (HP) | 100% | 3082 3.60 IPS | |
| Pose Estimation (Q) | 96% | 7101 8.32 IPS | |
| Object Detection (SP) | 100% | 1282 101.7 IPS | |
| Object Detection (HP) | 100% | 1314 104.2 IPS | |
| Object Detection (Q) | 88% | 2708 217.1 IPS | |
| Face Detection (SP) | 100% | 3667 43.6 IPS | |
| Face Detection (HP) | 100% | 3697 43.9 IPS | |
| Face Detection (Q) | 100% | 7229 85.9 IPS | |
| Depth Estimation (SP) | 100% | 3581 27.6 IPS | |
| Depth Estimation (HP) | 99% | 3700 28.5 IPS | |
| Depth Estimation (Q) | 89% | 8035 62.5 IPS | |
| Style Transfer (SP) | 100% | 7444 9.57 IPS | |
| Style Transfer (HP) | 100% | 7567 9.73 IPS | |
| Style Transfer (Q) | 98% | 20768 26.8 IPS | |
| Image Super-Resolution (SP) | 100% | 1553 57.3 IPS | |
| Image Super-Resolution (HP) | 100% | 1569 57.9 IPS | |
| Image Super-Resolution (Q) | 99% | 4270 158.1 IPS | |
| Text Classification (SP) | 100% | 1542 2.06 KIPS | |
| Text Classification (HP) | 100% | 1576 2.10 KIPS | |
| Text Classification (Q) | 92% | 2216 2.98 KIPS | |
| Machine Translation (SP) | 100% | 2121 36.5 IPS | |
| Machine Translation (HP) | 100% | 2022 34.8 IPS | |
| Machine Translation (Q) | 100% | 2118 36.5 IPS |