| Upload Date | March 19 2026 05:04 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP OmniBook Ultra Flip Laptop 14-fh0xxx |
| Motherboard | HP 8CDE |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1754
326.3 IPS |
|
|
Image Classification (HP)
|
100% |
11215
2.09 KIPS |
|
|
Image Classification (Q)
|
100% |
15710
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1651
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19332
313.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30718
498.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3065
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
110432
128.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
243124
284.8 IPS |
|
|
Object Detection (SP)
|
100% |
1659
131.6 IPS |
|
|
Object Detection (HP)
|
100% |
14124
1.12 KIPS |
|
|
Object Detection (Q)
|
88% |
23235
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
4983
59.2 IPS |
|
|
Face Detection (HP)
|
100% |
32623
387.6 IPS |
|
|
Face Detection (Q)
|
100% |
80766
959.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4256
32.8 IPS |
|
|
Depth Estimation (HP)
|
92% |
72142
559.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
160030
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
9146
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
222933
286.6 IPS |
|
|
Style Transfer (Q)
|
98% |
346474
446.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1908
70.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31705
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
67317
2.49 KIPS |
|
|
Text Classification (SP)
|
100% |
1917
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
2714
3.62 KIPS |
|
|
Text Classification (Q)
|
92% |
3043
4.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2911
50.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6940
119.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7265
125.1 IPS |