HP OMEN by HP Laptop 16-b1xxx
Geekbench AI Score
3596
Single Precision Score
1439
Half Precision Score
6559
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 25 2025 03:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN by HP Laptop 16-b1xxx |
| Motherboard | HP 8A14 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2883
536.2 IPS |
|
|
Image Classification (HP)
|
100% |
538
100.0 IPS |
|
|
Image Classification (Q)
|
99% |
5326
993.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1702
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
964
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7765
126.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5852
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
3745
4.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
18650
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
2668
211.6 IPS |
|
|
Object Detection (HP)
|
100% |
684
54.3 IPS |
|
|
Object Detection (Q)
|
86% |
5207
418.5 IPS |
|
|
Face Detection (SP)
|
100% |
6742
80.1 IPS |
|
|
Face Detection (HP)
|
100% |
1527
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
8387
100.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7536
58.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2016
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
13155
105.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13494
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9174
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18595
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2401
88.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1833
67.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4890
181.1 IPS |
|
|
Text Classification (SP)
|
100% |
1516
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
725
968.1 IPS |
|
|
Text Classification (Q)
|
97% |
1371
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1892
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
766
13.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2668
53.6 IPS |
