| Upload Date | February 02 2026 12:16 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook X G1i 14 inch Notebook Next Gen AI PC |
| Motherboard | HP 8D84 |
| Power Plan | Zrwnowaony |
| 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% |
1634
303.9 IPS |
|
|
Image Classification (HP)
|
100% |
10537
1.96 KIPS |
|
|
Image Classification (Q)
|
100% |
15215
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1990
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13798
223.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24777
401.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2872
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
84079
98.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
188271
220.5 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
100% |
14944
1.19 KIPS |
|
|
Object Detection (Q)
|
88% |
23798
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
4392
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
40845
485.3 IPS |
|
|
Face Detection (Q)
|
100% |
94875
1.13 KIPS |
|
|
Depth Estimation (SP)
|
100% |
3821
29.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
75314
582.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
146945
1.14 KIPS |
|
|
Style Transfer (SP)
|
100% |
8437
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
197705
254.2 IPS |
|
|
Style Transfer (Q)
|
98% |
353517
455.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1775
65.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32080
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59914
2.22 KIPS |
|
|
Text Classification (SP)
|
100% |
1838
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
3071
4.10 KIPS |
|
|
Text Classification (Q)
|
92% |
3521
4.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2815
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6528
112.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7366
126.9 IPS |