| Upload Date | October 23 2025 04:36 AM | 
| Views | 2 | 
| AI Information | |
|---|---|
| Framework | OpenVINO | 
| Backend | GPU | 
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | HP HP EliteBook 8 G1i 14 inch Notebook Next Gen AI PC | 
| Motherboard | HP 8D8A | 
| Power Plan | HP Optimized (Modern Standby) | 
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 268V | 
| Topology | 1 Processor, 8 Cores | 
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 | 
| Base Frequency | 2.20 GHz | 
| Cluster 1 | 4 Cores | 
| Cluster 2 | 4 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 7463 1.39 KIPS | |
| Image Classification (HP) | 100% | 15321 2.85 KIPS | |
| Image Classification (Q) | 100% | 19052 3.54 KIPS | |
| Image Segmentation (SP) | 100% | 10038 162.7 IPS | |
| Image Segmentation (HP) | 100% | 26432 428.5 IPS | |
| Image Segmentation (Q) | 99% | 31229 506.3 IPS | |
| Pose Estimation (SP) | 100% | 24035 28.0 IPS | |
| Pose Estimation (HP) | 100% | 135604 158.2 IPS | |
| Pose Estimation (Q) | 97% | 265498 310.8 IPS | |
| Object Detection (SP) | 100% | 6700 531.4 IPS | |
| Object Detection (HP) | 100% | 16327 1.30 KIPS | |
| Object Detection (Q) | 88% | 18110 1.45 KIPS | |
| Face Detection (SP) | 100% | 15233 181.0 IPS | |
| Face Detection (HP) | 100% | 33240 395.0 IPS | |
| Face Detection (Q) | 100% | 45794 544.1 IPS | |
| Depth Estimation (SP) | 100% | 25487 196.4 IPS | |
| Depth Estimation (HP) | 99% | 61501 473.8 IPS | |
| Depth Estimation (Q) | 89% | 71432 555.5 IPS | |
| Style Transfer (SP) | 100% | 54837 70.5 IPS | |
| Style Transfer (HP) | 100% | 154142 198.2 IPS | |
| Style Transfer (Q) | 98% | 180638 232.9 IPS | |
| Image Super-Resolution (SP) | 100% | 10134 374.2 IPS | |
| Image Super-Resolution (HP) | 100% | 30373 1.12 KIPS | |
| Image Super-Resolution (Q) | 99% | 33082 1.23 KIPS | |
| Text Classification (SP) | 100% | 4556 6.08 KIPS | |
| Text Classification (HP) | 100% | 5945 7.94 KIPS | |
| Text Classification (Q) | 92% | 3593 4.83 KIPS | |
| Machine Translation (SP) | 100% | 3729 64.2 IPS | |
| Machine Translation (HP) | 98% | 8129 140.5 IPS | |
| Machine Translation (Q) | 100% | 8140 140.2 IPS |