HP HP OmniBook X Flip Laptop 14-fm0xxx
Geekbench AI Score
2568
Single Precision Score
23391
Half Precision Score
36253
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | January 29 2026 07:12 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP OmniBook X Flip Laptop 14-fm0xxx |
| Motherboard | HP 8D9F |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
1575
292.9 IPS |
|
|
Image Classification (HP)
|
100% |
13388
2.49 KIPS |
|
|
Image Classification (Q)
|
100% |
18839
3.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1780
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15039
243.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25401
411.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2844
3.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
83204
97.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
184191
215.8 IPS |
|
|
Object Detection (SP)
|
100% |
1491
118.2 IPS |
|
|
Object Detection (HP)
|
100% |
15899
1.26 KIPS |
|
|
Object Detection (Q)
|
87% |
23989
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4498
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
38420
456.5 IPS |
|
|
Face Detection (Q)
|
100% |
80910
961.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3859
29.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
66540
514.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
131517
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
8422
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
191396
246.0 IPS |
|
|
Style Transfer (Q)
|
98% |
347169
447.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1774
65.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31470
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48813
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
1809
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (Q)
|
92% |
2536
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2244
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4050
69.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4056
69.9 IPS |
