| Upload Date | November 11 2025 09:28 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% |
1923
357.7 IPS |
|
|
Image Classification (HP)
|
100% |
15574
2.90 KIPS |
|
|
Image Classification (Q)
|
100% |
22208
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20292
328.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
33734
546.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3450
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
115096
134.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
236932
277.5 IPS |
|
|
Object Detection (SP)
|
100% |
1890
149.9 IPS |
|
|
Object Detection (HP)
|
100% |
18544
1.47 KIPS |
|
|
Object Detection (Q)
|
88% |
28635
2.30 KIPS |
|
|
Face Detection (SP)
|
100% |
5784
68.7 IPS |
|
|
Face Detection (HP)
|
100% |
43604
518.1 IPS |
|
|
Face Detection (Q)
|
100% |
101926
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4801
37.0 IPS |
|
|
Depth Estimation (HP)
|
92% |
87147
676.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
167700
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
10157
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
252039
324.0 IPS |
|
|
Style Transfer (Q)
|
98% |
438749
565.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1892
69.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44530
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85092
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2172
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3175
4.24 KIPS |
|
|
Text Classification (Q)
|
92% |
3945
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2970
51.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9696
167.0 IPS |
|
|
Machine Translation (Q)
|
100% |
12029
207.2 IPS |