| Upload Date | November 11 2025 09:54 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% |
1879
349.4 IPS |
|
|
Image Classification (HP)
|
100% |
13622
2.53 KIPS |
|
|
Image Classification (Q)
|
100% |
20278
3.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2194
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19256
312.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30572
495.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3487
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
110322
128.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
242537
284.1 IPS |
|
|
Object Detection (SP)
|
100% |
1855
147.2 IPS |
|
|
Object Detection (HP)
|
100% |
14709
1.17 KIPS |
|
|
Object Detection (Q)
|
88% |
19914
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
5816
69.1 IPS |
|
|
Face Detection (HP)
|
100% |
42450
504.4 IPS |
|
|
Face Detection (Q)
|
100% |
77126
916.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4840
37.3 IPS |
|
|
Depth Estimation (HP)
|
92% |
78060
605.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
119530
930.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10386
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245877
316.1 IPS |
|
|
Style Transfer (Q)
|
98% |
431191
556.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1239
45.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44329
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81867
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2029
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2782
3.71 KIPS |
|
|
Text Classification (Q)
|
92% |
2836
3.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3344
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7806
134.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7456
128.4 IPS |