| Upload Date | October 25 2025 03:03 AM | 
| Views | 3 | 
| AI Information | |
|---|---|
| Framework | OpenVINO | 
| Backend | NPU | 
| Device | Intel(R) AI Boost | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) | 
| Model | Acer Predator PHN16S-71 | 
| Motherboard | ARL FTYPE_ARX | 
| Power Plan | Acer | 
| 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 | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 4835 899.1 IPS | |
| Image Classification (HP) | 100% | 6948 1.29 KIPS | |
| Image Classification (Q) | 100% | 9672 1.80 KIPS | |
| Image Segmentation (SP) | 100% | 6922 112.2 IPS | |
| Image Segmentation (HP) | 100% | 2888 46.8 IPS | |
| Image Segmentation (Q) | 99% | 3944 63.9 IPS | |
| Pose Estimation (SP) | 100% | 11267 13.1 IPS | |
| Pose Estimation (HP) | 100% | 34514 40.3 IPS | |
| Pose Estimation (Q) | 96% | 74960 87.8 IPS | |
| Object Detection (SP) | 100% | 4583 363.6 IPS | |
| Object Detection (HP) | 100% | 6189 490.9 IPS | |
| Object Detection (Q) | 87% | 10106 811.1 IPS | |
| Face Detection (SP) | 100% | 13909 165.3 IPS | |
| Face Detection (HP) | 100% | 17163 203.9 IPS | |
| Face Detection (Q) | 100% | 32405 385.0 IPS | |
| Depth Estimation (SP) | 100% | 12286 94.7 IPS | |
| Depth Estimation (HP) | 99% | 18890 145.5 IPS | |
| Depth Estimation (Q) | 88% | 34442 268.0 IPS | |
| Style Transfer (SP) | 100% | 27898 35.9 IPS | |
| Style Transfer (HP) | 100% | 52425 67.4 IPS | |
| Style Transfer (Q) | 98% | 96344 124.2 IPS | |
| Image Super-Resolution (SP) | 100% | 6585 243.1 IPS | |
| Image Super-Resolution (HP) | 100% | 14236 525.7 IPS | |
| Image Super-Resolution (Q) | 99% | 23655 876.0 IPS | |
| Text Classification (SP) | 100% | 3894 5.20 KIPS | |
| Text Classification (HP) | 100% | 2111 2.82 KIPS | |
| Text Classification (Q) | 92% | 2099 2.82 KIPS | |
| Machine Translation (SP) | 100% | 3459 59.6 IPS | |
| Machine Translation (HP) | 100% | 4525 77.9 IPS | |
| Machine Translation (Q) | 100% | 4578 78.9 IPS |