| User | mmbawareth | 
| Upload Date | October 18 2025 09:15 PM | 
| Views | 9 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | Intel Core i7-1355U | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) | 
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop X1504VA_X1504VA | 
| Motherboard | ASUSTeK COMPUTER INC. X1504VA | 
| CPU Information | |
|---|---|
| Name | Intel Core i7-1355U | 
| Topology | 1 Processor, 10 Cores, 12 Threads | 
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 | 
| Base Frequency | 1.70 GHz | 
| Cluster 1 | 2 Cores | 
| Cluster 2 | 8 Cores | 
| Memory Information | |
|---|---|
| Size | 16.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 1478 274.9 IPS | |
| Image Classification (HP) | 100% | 345 64.2 IPS | |
| Image Classification (Q) | 99% | 3280 611.9 IPS | |
| Image Segmentation (SP) | 100% | 940 15.2 IPS | |
| Image Segmentation (HP) | 100% | 587 9.51 IPS | |
| Image Segmentation (Q) | 98% | 4568 74.3 IPS | |
| Pose Estimation (SP) | 100% | 3037 3.54 IPS | |
| Pose Estimation (HP) | 100% | 1985 2.32 IPS | |
| Pose Estimation (Q) | 94% | 9288 10.9 IPS | |
| Object Detection (SP) | 100% | 1507 119.5 IPS | |
| Object Detection (HP) | 100% | 425 33.7 IPS | |
| Object Detection (Q) | 86% | 3180 255.6 IPS | |
| Face Detection (SP) | 100% | 3179 37.8 IPS | |
| Face Detection (HP) | 100% | 856 10.2 IPS | |
| Face Detection (Q) | 97% | 5475 65.3 IPS | |
| Depth Estimation (SP) | 100% | 4009 30.9 IPS | |
| Depth Estimation (HP) | 99% | 1072 8.26 IPS | |
| Depth Estimation (Q) | 78% | 7738 61.7 IPS | |
| Style Transfer (SP) | 100% | 6998 9.00 IPS | |
| Style Transfer (HP) | 100% | 4185 5.38 IPS | |
| Style Transfer (Q) | 98% | 11060 14.3 IPS | |
| Image Super-Resolution (SP) | 100% | 1392 51.4 IPS | |
| Image Super-Resolution (HP) | 100% | 941 34.7 IPS | |
| Image Super-Resolution (Q) | 99% | 2935 108.7 IPS | |
| Text Classification (SP) | 100% | 954 1.27 KIPS | |
| Text Classification (HP) | 100% | 448 598.6 IPS | |
| Text Classification (Q) | 97% | 1241 1.66 KIPS | |
| Machine Translation (SP) | 100% | 1109 19.1 IPS | |
| Machine Translation (HP) | 100% | 438 7.55 IPS | |
| Machine Translation (Q) | 65% | 1694 34.0 IPS |