| User | IMaT_UoA |
| Upload Date | March 18 2026 03:40 PM |
| Views | 10 |
| 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% |
2058
382.6 IPS |
|
|
Image Classification (HP)
|
100% |
3347
622.4 IPS |
|
|
Image Classification (Q)
|
99% |
1596
297.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2069
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4102
66.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1462
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6121
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
10646
12.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
5331
6.25 IPS |
|
|
Object Detection (SP)
|
100% |
2087
165.6 IPS |
|
|
Object Detection (HP)
|
100% |
4170
330.8 IPS |
|
|
Object Detection (Q)
|
86% |
1630
131.0 IPS |
|
|
Face Detection (SP)
|
100% |
3219
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
5999
71.3 IPS |
|
|
Face Detection (Q)
|
97% |
2228
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7597
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13090
101.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
5653
45.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21575
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37905
48.7 IPS |
|
|
Style Transfer (Q)
|
98% |
15489
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3772
139.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6750
249.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2576
95.4 IPS |
|
|
Text Classification (SP)
|
100% |
1003
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
698
931.2 IPS |
|
|
Text Classification (Q)
|
97% |
616
825.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1860
32.0 IPS |
|
|
Machine Translation (HP)
|
96% |
2038
35.2 IPS |
|
|
Machine Translation (Q)
|
70% |
759
14.2 IPS |