HP HP OmniBook 7 Laptop 16-ay0xxx
Geekbench AI Score
4254
Single Precision Score
9481
Half Precision Score
14562
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ChrissoChrisso |
| Upload Date | June 03 2025 12:17 AM |
| Views | 9 |
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 16-ay0xxx |
| Motherboard | HP 8E13 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
3012
560.1 IPS |
|
|
Image Classification (HP)
|
100% |
7081
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
9620
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3251
52.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2868
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3874
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6468
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
34017
39.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
73626
86.2 IPS |
|
|
Object Detection (SP)
|
100% |
2204
174.9 IPS |
|
|
Object Detection (HP)
|
100% |
6111
484.7 IPS |
|
|
Object Detection (Q)
|
87% |
10006
803.0 IPS |
|
|
Face Detection (SP)
|
100% |
6798
80.8 IPS |
|
|
Face Detection (HP)
|
100% |
13413
159.4 IPS |
|
|
Face Detection (Q)
|
100% |
25532
303.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5643
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18263
140.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
33045
257.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16932
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
51319
66.0 IPS |
|
|
Style Transfer (Q)
|
98% |
93882
121.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3138
115.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14001
517.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23602
874.1 IPS |
|
|
Text Classification (SP)
|
100% |
2661
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1876
2.50 KIPS |
|
|
Text Classification (Q)
|
92% |
1959
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2568
44.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4212
72.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4265
73.5 IPS |
