HP HP OmniBook Ultra Flip Laptop 14-fh0xxx
Geekbench AI Score
2668
Single Precision Score
14971
Half Precision Score
19775
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 01:58 AM |
| Views | 2 |
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 7 256V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1722
320.2 IPS |
|
|
Image Classification (HP)
|
100% |
7997
1.49 KIPS |
|
|
Image Classification (Q)
|
100% |
6247
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1736
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9578
155.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11281
182.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2890
3.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
93896
109.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
179566
210.3 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.8 IPS |
|
|
Object Detection (HP)
|
100% |
9542
756.9 IPS |
|
|
Object Detection (Q)
|
87% |
10044
806.1 IPS |
|
|
Face Detection (SP)
|
100% |
4482
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
18841
223.9 IPS |
|
|
Face Detection (Q)
|
100% |
28250
335.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4086
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
57692
444.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
90263
702.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8932
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
182305
234.4 IPS |
|
|
Style Transfer (Q)
|
98% |
257939
332.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1864
68.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21862
807.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29608
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
1954
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
864
1.15 KIPS |
|
|
Text Classification (Q)
|
92% |
1557
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2248
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2202
37.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2373
40.9 IPS |
