| 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% | 2603 484.1 IPS | |
| Image Classification (HP) | 100% | 2095 389.6 IPS | |
| Image Classification (Q) | 100% | 6689 1.24 KIPS | |
| Image Segmentation (SP) | 100% | 3448 55.9 IPS | |
| Image Segmentation (HP) | 100% | 1426 23.1 IPS | |
| Image Segmentation (Q) | 99% | 11746 190.4 IPS | |
| Pose Estimation (SP) | 100% | 7802 9.10 IPS | |
| Pose Estimation (HP) | 100% | 4841 5.65 IPS | |
| Pose Estimation (Q) | 97% | 79154 92.7 IPS | |
| Object Detection (SP) | 100% | 2807 222.6 IPS | |
| Object Detection (HP) | 100% | 2160 171.3 IPS | |
| Object Detection (Q) | 88% | 6379 511.4 IPS | |
| Face Detection (SP) | 100% | 9727 115.6 IPS | |
| Face Detection (HP) | 100% | 5963 70.8 IPS | |
| Face Detection (Q) | 100% | 22894 272.0 IPS | |
| Depth Estimation (SP) | 100% | 8118 62.5 IPS | |
| Depth Estimation (HP) | 99% | 5756 44.3 IPS | |
| Depth Estimation (Q) | 88% | 22850 177.8 IPS | |
| Style Transfer (SP) | 100% | 22816 29.3 IPS | |
| Style Transfer (HP) | 100% | 11873 15.3 IPS | |
| Style Transfer (Q) | 98% | 160672 207.2 IPS | |
| Image Super-Resolution (SP) | 100% | 4001 147.7 IPS | |
| Image Super-Resolution (HP) | 100% | 2676 98.8 IPS | |
| Image Super-Resolution (Q) | 99% | 14472 535.9 IPS | |
| Text Classification (SP) | 100% | 1658 2.21 KIPS | |
| Text Classification (HP) | 100% | 1247 1.66 KIPS | |
| Text Classification (Q) | 92% | 2295 3.08 KIPS | |
| Machine Translation (SP) | 100% | 2575 44.4 IPS | |
| Machine Translation (HP) | 100% | 2450 42.2 IPS | |
| Machine Translation (Q) | 100% | 2852 49.1 IPS |