| Upload Date | November 11 2025 10:00 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP OmniBook Ultra Flip Laptop 14-fh0xxx |
| Motherboard | HP 8CDE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 288V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1927
358.4 IPS |
|
|
Image Classification (HP)
|
100% |
14399
2.68 KIPS |
|
|
Image Classification (Q)
|
100% |
21543
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1559
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20054
325.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32970
534.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3474
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
114585
133.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
252844
296.2 IPS |
|
|
Object Detection (SP)
|
100% |
1249
99.0 IPS |
|
|
Object Detection (HP)
|
100% |
18788
1.49 KIPS |
|
|
Object Detection (Q)
|
88% |
29201
2.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3003
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
41645
494.8 IPS |
|
|
Face Detection (Q)
|
100% |
90182
1.07 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4708
36.3 IPS |
|
|
Depth Estimation (HP)
|
92% |
86186
668.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
168936
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
10287
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
240172
308.7 IPS |
|
|
Style Transfer (Q)
|
98% |
429860
554.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2154
79.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43418
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79438
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2179
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2961
3.95 KIPS |
|
|
Text Classification (Q)
|
92% |
3488
4.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3352
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8413
144.9 IPS |
|
|
Machine Translation (Q)
|
100% |
9894
170.4 IPS |