| User | IMaT_UoA |
| Upload Date | March 26 2026 02:15 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% |
6360
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
13397
2.49 KIPS |
|
|
Image Classification (Q)
|
100% |
17938
3.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8541
138.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
26007
421.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30044
487.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19901
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
113795
132.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
216115
253.0 IPS |
|
|
Object Detection (SP)
|
100% |
5746
455.8 IPS |
|
|
Object Detection (HP)
|
100% |
15248
1.21 KIPS |
|
|
Object Detection (Q)
|
88% |
19342
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
13353
158.7 IPS |
|
|
Face Detection (HP)
|
100% |
32835
390.2 IPS |
|
|
Face Detection (Q)
|
100% |
44515
528.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21174
163.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
49511
381.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
58242
452.9 IPS |
|
|
Style Transfer (SP)
|
100% |
51165
65.8 IPS |
|
|
Style Transfer (HP)
|
100% |
196858
253.1 IPS |
|
|
Style Transfer (Q)
|
98% |
268331
346.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8828
326.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37097
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36810
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
3746
5.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5808
7.75 KIPS |
|
|
Text Classification (Q)
|
92% |
3096
4.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3617
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7166
123.4 IPS |
|
|
Machine Translation (Q)
|
100% |
7210
124.2 IPS |