| Upload Date | November 11 2025 09:34 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% |
1878
349.3 IPS |
|
|
Image Classification (HP)
|
100% |
15697
2.92 KIPS |
|
|
Image Classification (Q)
|
100% |
22027
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2192
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20073
325.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33808
548.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3515
4.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
114643
133.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
257400
301.5 IPS |
|
|
Object Detection (SP)
|
100% |
1905
151.1 IPS |
|
|
Object Detection (HP)
|
100% |
19180
1.52 KIPS |
|
|
Object Detection (Q)
|
88% |
29208
2.34 KIPS |
|
|
Face Detection (SP)
|
100% |
5829
69.3 IPS |
|
|
Face Detection (HP)
|
100% |
43742
519.8 IPS |
|
|
Face Detection (Q)
|
100% |
103961
1.24 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4779
36.8 IPS |
|
|
Depth Estimation (HP)
|
92% |
88009
682.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
170617
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
10367
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
250820
322.4 IPS |
|
|
Style Transfer (Q)
|
98% |
434294
560.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2173
80.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44112
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82061
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2209
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3173
4.23 KIPS |
|
|
Text Classification (Q)
|
92% |
3529
4.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3488
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8929
153.8 IPS |
|
|
Machine Translation (Q)
|
100% |
11195
192.8 IPS |