HP HP OmniBook Ultra Flip Laptop 14-fh0xxx
Geekbench AI Score
2575
Single Precision Score
1790
Half Precision Score
6808
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 22 2025 08:52 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 226V |
| 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% |
1539
286.3 IPS |
|
|
Image Classification (HP)
|
100% |
1109
206.3 IPS |
|
|
Image Classification (Q)
|
100% |
4338
806.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1800
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
919
14.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4303
69.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2845
3.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1874
2.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
10982
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1456
115.5 IPS |
|
|
Object Detection (HP)
|
100% |
1067
84.6 IPS |
|
|
Object Detection (Q)
|
88% |
4389
351.8 IPS |
|
|
Face Detection (SP)
|
100% |
4506
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
3531
42.0 IPS |
|
|
Face Detection (Q)
|
100% |
11168
132.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3895
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2696
20.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
11865
92.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8469
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
5400
6.94 IPS |
|
|
Style Transfer (Q)
|
98% |
30394
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1731
63.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1206
44.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6081
225.2 IPS |
|
|
Text Classification (SP)
|
100% |
1761
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1182
1.58 KIPS |
|
|
Text Classification (Q)
|
92% |
3649
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2466
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2274
39.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2662
45.9 IPS |
