| Upload Date | October 29 2025 01:23 PM | 
| Views | 2 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | Intel(R) Core(TM) Ultra 5 238V | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) | 
| Model | Dell Inc. Dell Pro 14 Plus PB14250 | 
| Motherboard | Dell Inc. 06WFGJ | 
| Power Plan | Ausbalanciert | 
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 238V | 
| Topology | 1 Processor, 8 Cores | 
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 | 
| Base Frequency | 2.10 GHz | 
| Cluster 1 | 4 Cores | 
| Cluster 2 | 4 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 1421 264.3 IPS | |
| Image Classification (HP) | 100% | 446 82.9 IPS | |
| Image Classification (Q) | 99% | 3354 625.6 IPS | |
| Image Segmentation (SP) | 100% | 1001 16.2 IPS | |
| Image Segmentation (HP) | 100% | 731 11.8 IPS | |
| Image Segmentation (Q) | 98% | 1993 32.4 IPS | |
| Pose Estimation (SP) | 100% | 2648 3.09 IPS | |
| Pose Estimation (HP) | 100% | 2314 2.70 IPS | |
| Pose Estimation (Q) | 94% | 10207 12.0 IPS | |
| Object Detection (SP) | 100% | 1438 114.1 IPS | |
| Object Detection (HP) | 100% | 546 43.3 IPS | |
| Object Detection (Q) | 86% | 3456 277.8 IPS | |
| Face Detection (SP) | 100% | 4165 49.5 IPS | |
| Face Detection (HP) | 100% | 1466 17.4 IPS | |
| Face Detection (Q) | 97% | 5694 67.9 IPS | |
| Depth Estimation (SP) | 100% | 3674 28.3 IPS | |
| Depth Estimation (HP) | 99% | 1622 12.5 IPS | |
| Depth Estimation (Q) | 78% | 8715 69.5 IPS | |
| Style Transfer (SP) | 100% | 6890 8.86 IPS | |
| Style Transfer (HP) | 100% | 5848 7.52 IPS | |
| Style Transfer (Q) | 98% | 15088 19.5 IPS | |
| Image Super-Resolution (SP) | 100% | 1517 56.0 IPS | |
| Image Super-Resolution (HP) | 100% | 1214 44.8 IPS | |
| Image Super-Resolution (Q) | 99% | 2954 109.4 IPS | |
| Text Classification (SP) | 100% | 1014 1.35 KIPS | |
| Text Classification (HP) | 100% | 525 700.2 IPS | |
| Text Classification (Q) | 97% | 1244 1.67 KIPS | |
| Machine Translation (SP) | 100% | 1500 25.8 IPS | |
| Machine Translation (HP) | 100% | 618 10.6 IPS | |
| Machine Translation (Q) | 65% | 2029 40.8 IPS |