| User | IMaT_UoA |
| Upload Date | March 26 2026 02:26 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 130V GPU (16GB) (iGPU) |
| 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% |
6515
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
14220
2.64 KIPS |
|
|
Image Classification (Q)
|
100% |
19345
3.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9231
149.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
26671
432.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30571
495.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20689
24.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
119778
139.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
227618
266.5 IPS |
|
|
Object Detection (SP)
|
100% |
6044
479.4 IPS |
|
|
Object Detection (HP)
|
100% |
16905
1.34 KIPS |
|
|
Object Detection (Q)
|
88% |
22183
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
14204
168.8 IPS |
|
|
Face Detection (HP)
|
100% |
34398
408.7 IPS |
|
|
Face Detection (Q)
|
100% |
47602
565.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21374
164.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
52662
405.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
61728
480.0 IPS |
|
|
Style Transfer (SP)
|
100% |
51744
66.5 IPS |
|
|
Style Transfer (HP)
|
100% |
200001
257.1 IPS |
|
|
Style Transfer (Q)
|
98% |
279186
360.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8885
328.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40201
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43618
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
3799
5.07 KIPS |
|
|
Text Classification (HP)
|
100% |
5768
7.70 KIPS |
|
|
Text Classification (Q)
|
92% |
3038
4.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3554
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7308
125.9 IPS |
|
|
Machine Translation (Q)
|
100% |
7274
125.3 IPS |