HP HP OmniBook 5 Flip Laptop 14-fp0xxx
Geekbench AI Score
1288
Single Precision Score
532
Half Precision Score
2507
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | nccz11 |
| Upload Date | April 11 2026 03:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 5 120U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP OmniBook 5 Flip Laptop 14-fp0xxx |
| Motherboard | HP 8E03 |
| CPU Information | |
|---|---|
| Name | Intel Core 5 120U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1003
186.6 IPS |
|
|
Image Classification (HP)
|
100% |
192
35.8 IPS |
|
|
Image Classification (Q)
|
99% |
1778
331.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
452
7.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
339
5.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
2644
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2046
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1411
1.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
6079
7.13 IPS |
|
|
Object Detection (SP)
|
100% |
1034
82.0 IPS |
|
|
Object Detection (HP)
|
100% |
260
20.6 IPS |
|
|
Object Detection (Q)
|
86% |
1920
154.3 IPS |
|
|
Face Detection (SP)
|
100% |
2732
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
607
7.22 IPS |
|
|
Face Detection (Q)
|
97% |
3391
40.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2690
20.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
768
5.92 IPS |
|
|
Depth Estimation (Q)
|
78% |
4840
38.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5092
6.55 IPS |
|
|
Style Transfer (HP)
|
100% |
3216
4.13 IPS |
|
|
Style Transfer (Q)
|
98% |
8672
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
890
32.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
608
22.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1721
63.7 IPS |
|
|
Text Classification (SP)
|
100% |
537
716.9 IPS |
|
|
Text Classification (HP)
|
100% |
262
350.0 IPS |
|
|
Text Classification (Q)
|
97% |
671
898.3 IPS |
|
|
Machine Translation (SP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
321
5.54 IPS |
|
|
Machine Translation (Q)
|
65% |
1090
21.9 IPS |
