HP HP OmniBook 7 Laptop 14-fr0xxx
Geekbench AI Score
3852
Single Precision Score
9833
Half Precision Score
14966
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 04 2025 04:29 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP OmniBook 7 Laptop 14-fr0xxx |
| Motherboard | HP 8E3B |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 225H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2053
381.9 IPS |
|
|
Image Classification (HP)
|
100% |
6893
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
9448
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3346
54.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2740
44.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3499
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6468
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
34296
40.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
74298
87.0 IPS |
|
|
Object Detection (SP)
|
100% |
2032
161.2 IPS |
|
|
Object Detection (HP)
|
100% |
6033
478.5 IPS |
|
|
Object Detection (Q)
|
87% |
9943
798.0 IPS |
|
|
Face Detection (SP)
|
100% |
6042
71.8 IPS |
|
|
Face Detection (HP)
|
100% |
17239
204.8 IPS |
|
|
Face Detection (Q)
|
100% |
32659
388.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6380
49.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18952
146.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
34834
271.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16868
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
54790
70.4 IPS |
|
|
Style Transfer (Q)
|
98% |
97596
125.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2741
101.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14254
526.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24178
895.4 IPS |
|
|
Text Classification (SP)
|
100% |
1968
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
2046
2.73 KIPS |
|
|
Text Classification (Q)
|
92% |
2044
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2276
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4144
71.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4209
72.5 IPS |
