| User | IMaT_UoA |
| Upload Date | March 26 2026 02:18 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% |
6642
1.24 KIPS |
|
|
Image Classification (HP)
|
100% |
14380
2.67 KIPS |
|
|
Image Classification (Q)
|
100% |
19364
3.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9197
149.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
26786
434.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
31267
506.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20370
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
119810
139.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
227375
266.2 IPS |
|
|
Object Detection (SP)
|
100% |
5992
475.3 IPS |
|
|
Object Detection (HP)
|
100% |
16537
1.31 KIPS |
|
|
Object Detection (Q)
|
88% |
22094
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
14102
167.6 IPS |
|
|
Face Detection (HP)
|
100% |
34284
407.4 IPS |
|
|
Face Detection (Q)
|
100% |
48085
571.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21072
162.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
51631
397.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
61393
477.4 IPS |
|
|
Style Transfer (SP)
|
100% |
51754
66.5 IPS |
|
|
Style Transfer (HP)
|
100% |
199851
256.9 IPS |
|
|
Style Transfer (Q)
|
98% |
277017
357.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8814
325.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39735
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42183
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
3803
5.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5743
7.67 KIPS |
|
|
Text Classification (Q)
|
92% |
3123
4.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3612
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7283
125.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7334
126.3 IPS |