| User | IMaT_UoA |
| Upload Date | March 26 2026 02:24 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% |
6622
1.23 KIPS |
|
|
Image Classification (HP)
|
100% |
14368
2.67 KIPS |
|
|
Image Classification (Q)
|
100% |
19256
3.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9098
147.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
26725
433.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
31190
505.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20610
24.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
119007
138.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
227587
266.4 IPS |
|
|
Object Detection (SP)
|
100% |
6105
484.3 IPS |
|
|
Object Detection (HP)
|
100% |
15639
1.24 KIPS |
|
|
Object Detection (Q)
|
88% |
21333
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
13812
164.1 IPS |
|
|
Face Detection (HP)
|
100% |
34636
411.6 IPS |
|
|
Face Detection (Q)
|
100% |
46770
555.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21181
163.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
51852
399.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
60869
473.3 IPS |
|
|
Style Transfer (SP)
|
100% |
51811
66.6 IPS |
|
|
Style Transfer (HP)
|
100% |
195401
251.2 IPS |
|
|
Style Transfer (Q)
|
98% |
269417
347.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8701
321.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39974
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38848
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
3791
5.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5791
7.73 KIPS |
|
|
Text Classification (Q)
|
92% |
3122
4.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3551
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7289
125.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7346
126.5 IPS |