| User | alexb | 
| Upload Date | July 03 2025 05:32 AM | 
| Views | 8 | 
| AI Information | |
|---|---|
| Framework | OpenVINO | 
| Backend | CPU | 
| Device | Intel(R) Core(TM) Ultra 9 285K | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | ASUS System Product Name | 
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-I GAMING WIFI | 
| Power Plan | High performance | 
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K | 
| Topology | 1 Processor, 24 Cores | 
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 | 
| Base Frequency | 3.70 GHz | 
| Cluster 1 | 8 Cores | 
| Cluster 2 | 16 Cores | 
| Memory Information | |
|---|---|
| Size | 96.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 6123 1.14 KIPS | |
| Image Classification (HP) | 100% | 7260 1.35 KIPS | |
| Image Classification (Q) | 100% | 11058 2.06 KIPS | |
| Image Segmentation (SP) | 100% | 8528 138.2 IPS | |
| Image Segmentation (HP) | 100% | 4964 80.5 IPS | |
| Image Segmentation (Q) | 99% | 13723 222.5 IPS | |
| Pose Estimation (SP) | 100% | 14719 17.2 IPS | |
| Pose Estimation (HP) | 100% | 14094 16.4 IPS | |
| Pose Estimation (Q) | 96% | 33218 38.9 IPS | |
| Object Detection (SP) | 100% | 5908 468.6 IPS | |
| Object Detection (HP) | 100% | 7649 606.8 IPS | |
| Object Detection (Q) | 88% | 11979 960.2 IPS | |
| Face Detection (SP) | 100% | 16941 201.3 IPS | |
| Face Detection (HP) | 100% | 21492 255.4 IPS | |
| Face Detection (Q) | 100% | 31649 376.1 IPS | |
| Depth Estimation (SP) | 100% | 14898 114.8 IPS | |
| Depth Estimation (HP) | 99% | 18197 140.2 IPS | |
| Depth Estimation (Q) | 89% | 32468 252.4 IPS | |
| Style Transfer (SP) | 100% | 41829 53.8 IPS | |
| Style Transfer (HP) | 100% | 39282 50.5 IPS | |
| Style Transfer (Q) | 98% | 92074 118.7 IPS | |
| Image Super-Resolution (SP) | 100% | 8787 324.5 IPS | |
| Image Super-Resolution (HP) | 100% | 9487 350.3 IPS | |
| Image Super-Resolution (Q) | 99% | 17701 655.5 IPS | |
| Text Classification (SP) | 100% | 4372 5.83 KIPS | |
| Text Classification (HP) | 100% | 3423 4.57 KIPS | |
| Text Classification (Q) | 92% | 6233 8.37 KIPS | |
| Machine Translation (SP) | 100% | 4136 71.2 IPS | |
| Machine Translation (HP) | 100% | 7849 135.2 IPS | |
| Machine Translation (Q) | 100% | 4006 69.0 IPS |