| Upload Date | November 11 2025 10:22 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% |
1935
359.8 IPS |
|
|
Image Classification (HP)
|
100% |
14691
2.73 KIPS |
|
|
Image Classification (Q)
|
100% |
22366
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2187
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18861
305.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
31206
505.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3403
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
116201
135.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
258834
303.2 IPS |
|
|
Object Detection (SP)
|
100% |
1854
147.1 IPS |
|
|
Object Detection (HP)
|
100% |
19316
1.53 KIPS |
|
|
Object Detection (Q)
|
88% |
30181
2.42 KIPS |
|
|
Face Detection (SP)
|
100% |
5129
60.9 IPS |
|
|
Face Detection (HP)
|
100% |
42829
508.9 IPS |
|
|
Face Detection (Q)
|
100% |
107944
1.28 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4689
36.1 IPS |
|
|
Depth Estimation (HP)
|
92% |
74115
574.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
167230
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
9717
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
235496
302.7 IPS |
|
|
Style Transfer (Q)
|
98% |
433384
558.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2160
79.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42660
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
74533
2.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2096
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2825
3.77 KIPS |
|
|
Text Classification (Q)
|
92% |
3068
4.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3231
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8637
148.8 IPS |
|
|
Machine Translation (Q)
|
100% |
10752
185.2 IPS |