| User | IMaT_UoA |
| Upload Date | March 18 2026 03:24 PM |
| Views | 13 |
| 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% |
2065
384.0 IPS |
|
|
Image Classification (HP)
|
100% |
3625
674.1 IPS |
|
|
Image Classification (Q)
|
99% |
1636
305.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2177
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4189
67.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1482
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6249
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
10889
12.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
5389
6.31 IPS |
|
|
Object Detection (SP)
|
100% |
2004
158.9 IPS |
|
|
Object Detection (HP)
|
100% |
4204
333.4 IPS |
|
|
Object Detection (Q)
|
86% |
1559
125.3 IPS |
|
|
Face Detection (SP)
|
100% |
3222
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
5886
69.9 IPS |
|
|
Face Detection (Q)
|
97% |
2234
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7588
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13102
101.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
5605
44.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21999
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38696
49.7 IPS |
|
|
Style Transfer (Q)
|
98% |
16014
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3889
143.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6984
257.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2591
95.9 IPS |
|
|
Text Classification (SP)
|
100% |
1140
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
847
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
686
918.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1928
33.2 IPS |
|
|
Machine Translation (HP)
|
96% |
2135
36.9 IPS |
|
|
Machine Translation (Q)
|
70% |
769
14.4 IPS |