| User | Jeffnt326 | 
| Upload Date | November 21 2024 06:37 AM | 
| Views | 5 | 
| AI Information | |
|---|---|
| Framework | OpenVINO | 
| Backend | NPU | 
| Device | Intel(R) AI Boost | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | LENOVO 21NS0012US | 
| Motherboard | LENOVO 21NS0012US | 
| Power Plan | Balanced | 
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V | 
| 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% | 1943 361.3 IPS | |
| Image Classification (HP) | 100% | 8078 1.50 KIPS | |
| Image Classification (Q) | 100% | 11217 2.09 KIPS | |
| Image Segmentation (SP) | 100% | 1981 32.1 IPS | |
| Image Segmentation (HP) | 100% | 4559 73.9 IPS | |
| Image Segmentation (Q) | 99% | 5635 91.4 IPS | |
| Pose Estimation (SP) | 100% | 3324 3.88 IPS | |
| Pose Estimation (HP) | 100% | 95565 111.5 IPS | |
| Pose Estimation (Q) | 96% | 174554 204.5 IPS | |
| Object Detection (SP) | 100% | 1841 146.0 IPS | |
| Object Detection (HP) | 100% | 10083 799.8 IPS | |
| Object Detection (Q) | 87% | 12376 993.3 IPS | |
| Face Detection (SP) | 100% | 5607 66.6 IPS | |
| Face Detection (HP) | 100% | 23399 278.0 IPS | |
| Face Detection (Q) | 100% | 44086 523.8 IPS | |
| Depth Estimation (SP) | 100% | 4699 36.2 IPS | |
| Depth Estimation (HP) | 99% | 56805 437.6 IPS | |
| Depth Estimation (Q) | 88% | 85650 666.6 IPS | |
| Style Transfer (SP) | 100% | 9990 12.8 IPS | |
| Style Transfer (HP) | 100% | 185411 238.3 IPS | |
| Style Transfer (Q) | 98% | 276057 356.0 IPS | |
| Image Super-Resolution (SP) | 100% | 2091 77.2 IPS | |
| Image Super-Resolution (HP) | 100% | 23666 873.9 IPS | |
| Image Super-Resolution (Q) | 99% | 43585 1.61 KIPS | |
| Text Classification (SP) | 100% | 1900 2.54 KIPS | |
| Text Classification (HP) | 100% | 1202 1.60 KIPS | |
| Text Classification (Q) | 92% | 1297 1.74 KIPS | |
| Machine Translation (SP) | 100% | 2290 39.4 IPS | |
| Machine Translation (HP) | 100% | 2051 35.3 IPS | |
| Machine Translation (Q) | 100% | 2026 34.9 IPS |