| Upload Date | October 29 2025 01:23 PM |
| Views | 3 |
| 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 |