HP HP OmniBook Ultra Flip Laptop 14-fh0xxx
Geekbench AI Score
2610
Single Precision Score
20681
Half Precision Score
32348
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 22 2025 08:57 AM |
| Views | 2 |
System Information
| 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 5 226V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1553
288.8 IPS |
|
|
Image Classification (HP)
|
100% |
11613
2.16 KIPS |
|
|
Image Classification (Q)
|
100% |
16208
3.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1794
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13258
214.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24823
402.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2850
3.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
72328
84.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
170931
200.2 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.4 IPS |
|
|
Object Detection (HP)
|
100% |
14716
1.17 KIPS |
|
|
Object Detection (Q)
|
87% |
22538
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
4480
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
27654
328.6 IPS |
|
|
Face Detection (Q)
|
100% |
65578
779.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3884
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
63722
490.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
101098
786.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8439
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
184344
237.0 IPS |
|
|
Style Transfer (Q)
|
98% |
276561
356.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1777
65.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29116
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47351
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
1781
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
2370
3.16 KIPS |
|
|
Text Classification (Q)
|
92% |
2274
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2674
46.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3898
67.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4100
70.6 IPS |
