HP HP OmniBook Ultra Flip Laptop 14-fh0xxx
Geekbench AI Score
2960
Single Precision Score
28494
Half Precision Score
48849
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 01 2026 08:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1835
341.2 IPS |
|
|
Image Classification (HP)
|
100% |
16488
3.07 KIPS |
|
|
Image Classification (Q)
|
100% |
22781
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2008
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19986
324.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
34208
554.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3203
3.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
113764
132.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
250192
293.1 IPS |
|
|
Object Detection (SP)
|
100% |
1755
139.2 IPS |
|
|
Object Detection (HP)
|
100% |
18423
1.46 KIPS |
|
|
Object Detection (Q)
|
88% |
28035
2.25 KIPS |
|
|
Face Detection (SP)
|
100% |
5280
62.7 IPS |
|
|
Face Detection (HP)
|
100% |
37623
447.0 IPS |
|
|
Face Detection (Q)
|
100% |
98229
1.17 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4304
33.2 IPS |
|
|
Depth Estimation (HP)
|
92% |
86146
668.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
164439
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
9043
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
196241
252.3 IPS |
|
|
Style Transfer (Q)
|
98% |
372485
480.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1913
70.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37607
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78751
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2019
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2846
3.80 KIPS |
|
|
Text Classification (Q)
|
92% |
3533
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3148
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7506
129.3 IPS |
|
|
Machine Translation (Q)
|
100% |
8456
145.7 IPS |
