HP OMEN by HP Laptop 16-b0xxx
Geekbench AI Score
2514
Single Precision Score
1144
Half Precision Score
4603
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | OMD |
| Upload Date | June 09 2025 03:46 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP OMEN by HP Laptop 16-b0xxx |
| Motherboard | HP 88FD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1920
357.0 IPS |
|
|
Image Classification (HP)
|
100% |
421
78.2 IPS |
|
|
Image Classification (Q)
|
99% |
5704
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1134
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
630
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2044
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3532
4.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
2994
3.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
13997
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1807
143.4 IPS |
|
|
Object Detection (HP)
|
100% |
545
43.2 IPS |
|
|
Object Detection (Q)
|
86% |
4196
337.2 IPS |
|
|
Face Detection (SP)
|
100% |
4171
49.6 IPS |
|
|
Face Detection (HP)
|
100% |
1182
14.0 IPS |
|
|
Face Detection (Q)
|
97% |
6916
82.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4719
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1594
12.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
12135
96.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8673
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7349
9.45 IPS |
|
|
Style Transfer (Q)
|
98% |
17272
22.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1699
62.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1459
53.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3421
126.7 IPS |
|
|
Text Classification (SP)
|
100% |
1339
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
701
936.1 IPS |
|
|
Text Classification (Q)
|
97% |
454
608.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1874
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
630
10.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2775
55.8 IPS |
