| User | paultissue | 
| Upload Date | September 04 2025 12:36 AM | 
| Views | 9 | 
| AI Information | |
|---|---|
| Framework | OpenVINO | 
| Backend | GPU | 
| Device | Intel(R) UHD Graphics 630 (iGPU) | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | LENOVO 81LL | 
| Motherboard | LENOVO LNVNB161216 | 
| Power Plan | High performance | 
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H | 
| Topology | 1 Processor, 6 Cores, 12 Threads | 
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 | 
| Base Frequency | 2.59 GHz | 
| Cluster 1 | 6 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 966 179.6 IPS | |
| Image Classification (HP) | 100% | 1513 281.4 IPS | |
| Image Classification (Q) | 100% | 1379 256.5 IPS | |
| Image Segmentation (SP) | 100% | 1178 19.1 IPS | |
| Image Segmentation (HP) | 100% | 2127 34.5 IPS | |
| Image Segmentation (Q) | 99% | 2038 33.1 IPS | |
| Pose Estimation (SP) | 100% | 2662 3.11 IPS | |
| Pose Estimation (HP) | 99% | 2448 2.86 IPS | |
| Pose Estimation (Q) | 97% | 3569 4.18 IPS | |
| Object Detection (SP) | 100% | 989 78.4 IPS | |
| Object Detection (HP) | 99% | 1603 127.5 IPS | |
| Object Detection (Q) | 88% | 1499 120.2 IPS | |
| Face Detection (SP) | 100% | 1994 23.7 IPS | |
| Face Detection (HP) | 100% | 3942 46.8 IPS | |
| Face Detection (Q) | 97% | 3691 44.0 IPS | |
| Depth Estimation (SP) | 100% | 3021 23.3 IPS | |
| Depth Estimation (HP) | 98% | 5109 39.5 IPS | |
| Depth Estimation (Q) | 89% | 4664 36.3 IPS | |
| Style Transfer (SP) | 100% | 6984 8.98 IPS | |
| Style Transfer (HP) | 100% | 9882 12.7 IPS | |
| Style Transfer (Q) | 98% | 8842 11.4 IPS | |
| Image Super-Resolution (SP) | 100% | 1245 46.0 IPS | |
| Image Super-Resolution (HP) | 100% | 2221 82.0 IPS | |
| Image Super-Resolution (Q) | 99% | 2096 77.6 IPS | |
| Text Classification (SP) | 71% | 679 982.5 IPS | |
| Text Classification (HP) | 71% | 801 1.16 KIPS | |
| Text Classification (Q) | 92% | 622 835.5 IPS | |
| Machine Translation (SP) | 100% | 634 10.9 IPS | |
| Machine Translation (HP) | 99% | 1226 21.2 IPS | |
| Machine Translation (Q) | 98% | 1223 21.1 IPS |