HP HP OmniBook 7 Laptop 14-fr0xxx
Geekbench AI Score
4452
Single Precision Score
9897
Half Precision Score
15316
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | tuldok89 |
| Upload Date | February 11 2026 11:13 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP OmniBook 7 Laptop 14-fr0xxx |
| Motherboard | HP 8E3B |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3280
610.0 IPS |
|
|
Image Classification (HP)
|
100% |
7054
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
9595
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3291
53.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2656
43.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3525
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6575
7.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
34700
40.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
74487
87.3 IPS |
|
|
Object Detection (SP)
|
100% |
2277
180.6 IPS |
|
|
Object Detection (HP)
|
100% |
6113
484.9 IPS |
|
|
Object Detection (Q)
|
88% |
10188
816.8 IPS |
|
|
Face Detection (SP)
|
100% |
7256
86.2 IPS |
|
|
Face Detection (HP)
|
100% |
17586
209.0 IPS |
|
|
Face Detection (Q)
|
100% |
32819
390.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6130
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
19195
147.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
34933
271.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17843
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
56623
72.8 IPS |
|
|
Style Transfer (Q)
|
98% |
98782
127.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3307
122.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15459
570.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31220
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2913
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
1989
2.66 KIPS |
|
|
Text Classification (Q)
|
92% |
1927
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2477
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3863
66.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4062
70.0 IPS |
