| User | IMaT_UoA |
| Upload Date | March 26 2026 01:51 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 130V GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP EliteBook X G1i 14 inch Notebook Next Gen AI PC |
| Motherboard | HP 8D84 |
| Power Plan | UoA-Power Plan-Peak-15 min sleep |
| 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% |
4085
759.8 IPS |
|
|
Image Classification (HP)
|
100% |
5501
1.02 KIPS |
|
|
Image Classification (Q)
|
100% |
3386
629.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6298
102.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13155
213.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4800
78.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11218
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30327
35.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
9844
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
4073
323.1 IPS |
|
|
Object Detection (HP)
|
100% |
7569
600.4 IPS |
|
|
Object Detection (Q)
|
88% |
3810
305.5 IPS |
|
|
Face Detection (SP)
|
100% |
9690
115.1 IPS |
|
|
Face Detection (HP)
|
100% |
17134
203.6 IPS |
|
|
Face Detection (Q)
|
97% |
6483
77.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16950
130.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
32644
251.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
11793
94.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43358
55.7 IPS |
|
|
Style Transfer (HP)
|
100% |
168128
216.1 IPS |
|
|
Style Transfer (Q)
|
98% |
33295
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8082
298.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15116
558.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4675
173.1 IPS |
|
|
Text Classification (SP)
|
100% |
1177
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1486
1.98 KIPS |
|
|
Text Classification (Q)
|
97% |
718
962.2 IPS |
|
|
Machine Translation (SP)
|
100% |
3321
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2846
49.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1284
24.1 IPS |