| User | IMaT_UoA |
| Upload Date | March 18 2026 03:27 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP EliteBook 6 G1i 14 inch Notebook AI PC |
| Motherboard | HP 8DEB |
| Power Plan | UoA-Power Plan-Peak-15 min sleep |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 235U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2151
400.0 IPS |
|
|
Image Classification (HP)
|
100% |
3607
670.7 IPS |
|
|
Image Classification (Q)
|
99% |
1622
302.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4152
67.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1457
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6190
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
10762
12.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
5268
6.17 IPS |
|
|
Object Detection (SP)
|
100% |
2092
165.9 IPS |
|
|
Object Detection (HP)
|
100% |
4163
330.2 IPS |
|
|
Object Detection (Q)
|
86% |
1574
126.6 IPS |
|
|
Face Detection (SP)
|
100% |
3230
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
5977
71.0 IPS |
|
|
Face Detection (Q)
|
97% |
2203
26.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7343
56.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
13216
102.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
5536
44.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22151
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37781
48.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15613
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3864
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6738
248.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2605
96.5 IPS |
|
|
Text Classification (SP)
|
100% |
1122
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
860
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
679
909.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1903
32.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2089
36.1 IPS |
|
|
Machine Translation (Q)
|
70% |
762
14.3 IPS |