HP OMEN by HP Laptop 16-b0xxx
Geekbench AI Score
1547
Single Precision Score
1681
Half Precision Score
1069
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | OMD |
| Upload Date | June 29 2025 10:31 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
681
126.6 IPS |
|
|
Image Classification (HP)
|
100% |
770
143.3 IPS |
|
|
Image Classification (Q)
|
100% |
591
109.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
932
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1182
19.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
737
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5246
6.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
5725
6.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
3459
4.05 IPS |
|
|
Object Detection (SP)
|
100% |
757
60.1 IPS |
|
|
Object Detection (HP)
|
98% |
658
52.4 IPS |
|
|
Object Detection (Q)
|
86% |
633
50.9 IPS |
|
|
Face Detection (SP)
|
100% |
1508
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1802
21.4 IPS |
|
|
Face Detection (Q)
|
97% |
1130
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2960
22.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3269
25.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
2198
17.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10331
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13777
17.7 IPS |
|
|
Style Transfer (Q)
|
98% |
7600
9.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1596
58.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2494
92.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
868
32.1 IPS |
|
|
Text Classification (SP)
|
100% |
683
911.5 IPS |
|
|
Text Classification (HP)
|
100% |
412
550.2 IPS |
|
|
Text Classification (Q)
|
97% |
367
491.5 IPS |
|
|
Machine Translation (SP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
632
10.9 IPS |
|
|
Machine Translation (Q)
|
70% |
340
6.38 IPS |
