| User | TechnoCat | 
| Upload Date | April 21 2025 03:34 AM | 
| Views | 5 | 
| AI Information | |
|---|---|
| Framework | OpenVINO | 
| Backend | NPU | 
| Device | Intel(R) AI Boost | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) | 
| Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LX_G835LX | 
| Motherboard | ASUSTeK COMPUTER INC. G835LX | 
| Power Plan | Performance | 
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 275HX | 
| Topology | 1 Processor, 24 Cores | 
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 | 
| Base Frequency | 2.70 GHz | 
| Cluster 1 | 8 Cores | 
| Cluster 2 | 16 Cores | 
| Memory Information | |
|---|---|
| Size | 64.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 3161 587.8 IPS | |
| Image Classification (HP) | 100% | 6929 1.29 KIPS | |
| Image Classification (Q) | 100% | 9657 1.80 KIPS | |
| Image Segmentation (SP) | 100% | 4630 75.1 IPS | |
| Image Segmentation (HP) | 100% | 2918 47.3 IPS | |
| Image Segmentation (Q) | 99% | 3949 64.0 IPS | |
| Pose Estimation (SP) | 100% | 8658 10.1 IPS | |
| Pose Estimation (HP) | 100% | 33823 39.5 IPS | |
| Pose Estimation (Q) | 96% | 73479 86.1 IPS | |
| Object Detection (SP) | 100% | 2952 234.1 IPS | |
| Object Detection (HP) | 100% | 6076 481.9 IPS | |
| Object Detection (Q) | 87% | 9995 802.2 IPS | |
| Face Detection (SP) | 100% | 9598 114.0 IPS | |
| Face Detection (HP) | 100% | 16350 194.3 IPS | |
| Face Detection (Q) | 100% | 28133 334.3 IPS | |
| Depth Estimation (SP) | 100% | 8590 66.2 IPS | |
| Depth Estimation (HP) | 99% | 18649 143.7 IPS | |
| Depth Estimation (Q) | 88% | 34737 270.3 IPS | |
| Style Transfer (SP) | 100% | 19715 25.3 IPS | |
| Style Transfer (HP) | 100% | 51236 65.9 IPS | |
| Style Transfer (Q) | 98% | 94636 122.0 IPS | |
| Image Super-Resolution (SP) | 100% | 5623 207.6 IPS | |
| Image Super-Resolution (HP) | 100% | 14365 530.4 IPS | |
| Image Super-Resolution (Q) | 99% | 25626 949.0 IPS | |
| Text Classification (SP) | 100% | 2559 3.42 KIPS | |
| Text Classification (HP) | 100% | 1978 2.64 KIPS | |
| Text Classification (Q) | 92% | 1957 2.63 KIPS | |
| Machine Translation (SP) | 100% | 2367 40.8 IPS | |
| Machine Translation (HP) | 100% | 4384 75.5 IPS | |
| Machine Translation (Q) | 100% | 4435 76.4 IPS |