| Upload Date | November 11 2025 09:57 AM |
| Views | 6 |
| 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% |
1936
359.9 IPS |
|
|
Image Classification (HP)
|
100% |
12217
2.27 KIPS |
|
|
Image Classification (Q)
|
100% |
19237
3.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2188
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19429
315.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
32981
534.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3474
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
110119
128.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
239273
280.3 IPS |
|
|
Object Detection (SP)
|
100% |
1899
150.6 IPS |
|
|
Object Detection (HP)
|
100% |
14116
1.12 KIPS |
|
|
Object Detection (Q)
|
88% |
19290
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
5780
68.7 IPS |
|
|
Face Detection (HP)
|
100% |
38297
455.1 IPS |
|
|
Face Detection (Q)
|
100% |
75262
894.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4792
36.9 IPS |
|
|
Depth Estimation (HP)
|
92% |
69740
541.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
146475
1.14 KIPS |
|
|
Style Transfer (SP)
|
100% |
10262
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
242644
311.9 IPS |
|
|
Style Transfer (Q)
|
98% |
423387
546.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1300
48.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44245
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77038
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2097
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
1640
2.19 KIPS |
|
|
Text Classification (Q)
|
92% |
2337
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3311
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6547
112.8 IPS |
|
|
Machine Translation (Q)
|
100% |
9280
159.9 IPS |