| Upload Date | October 30 2025 02:09 AM | 
| Views | 2 | 
| AI Information | |
|---|---|
| Framework | OpenVINO | 
| Backend | CPU | 
| Device | Intel(R) Xeon(R) 6515P | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Standard (64-bit) | 
| Model | Microsoft Corporation Virtual Machine | 
| Motherboard | Microsoft Corporation Virtual Machine | 
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) 6515P | 
| Topology | 1 Processor, 6 Cores, 12 Threads | 
| Identifier | GenuineIntel Family 6 Model 173 Stepping 1 | 
| Base Frequency | 2.30 GHz | 
| Cluster 1 | 6 Cores | 
| Memory Information | |
|---|---|
| Size | 20.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 2492 463.4 IPS | |
| Image Classification (HP) | 100% | 2117 393.7 IPS | |
| Image Classification (Q) | 100% | 5946 1.11 KIPS | |
| Image Segmentation (SP) | 100% | 3673 59.5 IPS | |
| Image Segmentation (HP) | 100% | 1381 22.4 IPS | |
| Image Segmentation (Q) | 99% | 10207 165.5 IPS | |
| Pose Estimation (SP) | 100% | 7681 8.96 IPS | |
| Pose Estimation (HP) | 100% | 4859 5.67 IPS | |
| Pose Estimation (Q) | 97% | 80170 93.9 IPS | |
| Object Detection (SP) | 100% | 2885 228.9 IPS | |
| Object Detection (HP) | 100% | 2283 181.1 IPS | |
| Object Detection (Q) | 88% | 7162 574.1 IPS | |
| Face Detection (SP) | 100% | 9149 108.7 IPS | |
| Face Detection (HP) | 100% | 5663 67.3 IPS | |
| Face Detection (Q) | 100% | 18337 217.9 IPS | |
| Depth Estimation (SP) | 100% | 8201 63.2 IPS | |
| Depth Estimation (HP) | 99% | 5786 44.6 IPS | |
| Depth Estimation (Q) | 88% | 21831 169.9 IPS | |
| Style Transfer (SP) | 100% | 22146 28.5 IPS | |
| Style Transfer (HP) | 100% | 11997 15.4 IPS | |
| Style Transfer (Q) | 98% | 156819 202.2 IPS | |
| Image Super-Resolution (SP) | 100% | 3982 147.0 IPS | |
| Image Super-Resolution (HP) | 100% | 2642 97.6 IPS | |
| Image Super-Resolution (Q) | 99% | 14485 536.4 IPS | |
| Text Classification (SP) | 100% | 1668 2.23 KIPS | |
| Text Classification (HP) | 100% | 1250 1.67 KIPS | |
| Text Classification (Q) | 92% | 2314 3.11 KIPS | |
| Machine Translation (SP) | 100% | 2544 43.8 IPS | |
| Machine Translation (HP) | 100% | 2486 42.8 IPS | |
| Machine Translation (Q) | 100% | 3102 53.4 IPS |