| User | IMaT_UoA |
| Upload Date | March 18 2026 03:22 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% |
2146
399.1 IPS |
|
|
Image Classification (HP)
|
100% |
3610
671.4 IPS |
|
|
Image Classification (Q)
|
99% |
1675
312.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2186
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4122
66.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1488
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6196
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
10858
12.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
5315
6.23 IPS |
|
|
Object Detection (SP)
|
100% |
1998
158.5 IPS |
|
|
Object Detection (HP)
|
100% |
4200
333.2 IPS |
|
|
Object Detection (Q)
|
86% |
1565
125.8 IPS |
|
|
Face Detection (SP)
|
100% |
3242
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
6052
71.9 IPS |
|
|
Face Detection (Q)
|
97% |
2250
26.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7879
60.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13015
100.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
5566
44.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21629
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37445
48.1 IPS |
|
|
Style Transfer (Q)
|
98% |
15704
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3931
145.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6832
252.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2576
95.4 IPS |
|
|
Text Classification (SP)
|
100% |
1187
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
930
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
652
873.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1959
33.7 IPS |
|
|
Machine Translation (HP)
|
96% |
2169
37.5 IPS |
|
|
Machine Translation (Q)
|
70% |
756
14.2 IPS |