HP HP OmniBook Ultra Flip Laptop 14-fh0xxx
Geekbench AI Score
2756
Single Precision Score
1220
Half Precision Score
5547
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 22 2025 08:49 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
2118
394.0 IPS |
|
|
Image Classification (HP)
|
100% |
446
82.9 IPS |
|
|
Image Classification (Q)
|
99% |
4538
846.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1195
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
800
13.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6399
104.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4285
5.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
3153
3.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
15424
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2015
159.8 IPS |
|
|
Object Detection (HP)
|
100% |
559
44.4 IPS |
|
|
Object Detection (Q)
|
86% |
4373
351.5 IPS |
|
|
Face Detection (SP)
|
100% |
5320
63.2 IPS |
|
|
Face Detection (HP)
|
100% |
1354
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
6927
82.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5494
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1721
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
11589
92.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10567
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7809
10.0 IPS |
|
|
Style Transfer (Q)
|
98% |
17752
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1990
73.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1433
52.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4089
151.4 IPS |
|
|
Text Classification (SP)
|
100% |
1168
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
566
754.9 IPS |
|
|
Text Classification (Q)
|
97% |
1129
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1614
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2142
43.0 IPS |
