HP HP OmniBook Ultra Flip Laptop 14-fh0xxx
Geekbench AI Score
2661
Single Precision Score
18906
Half Precision Score
23292
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 07:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 268V |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1726
321.0 IPS |
|
|
Image Classification (HP)
|
100% |
9363
1.74 KIPS |
|
|
Image Classification (Q)
|
100% |
4992
928.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1806
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10331
167.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11285
182.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3013
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
97945
114.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
197908
231.8 IPS |
|
|
Object Detection (SP)
|
100% |
1487
117.9 IPS |
|
|
Object Detection (HP)
|
100% |
12515
992.7 IPS |
|
|
Object Detection (Q)
|
87% |
14519
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
4423
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
19865
236.0 IPS |
|
|
Face Detection (Q)
|
100% |
33515
398.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4172
32.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
62672
482.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
95102
740.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9094
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
194274
249.7 IPS |
|
|
Style Transfer (Q)
|
98% |
300106
387.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1955
72.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31262
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51668
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
1807
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
2377
3.17 KIPS |
|
|
Text Classification (Q)
|
92% |
2194
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2158
37.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2739
47.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2678
46.1 IPS |
