HP OMEN by HP Laptop 16-b0xxx
Geekbench AI Score
13014
Single Precision Score
22513
Half Precision Score
9033
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | willus |
| Upload Date | November 29 2025 04:19 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN by HP Laptop 16-b0xxx |
| Motherboard | HP 88F4 |
| Power Plan | Ultimate Performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5233
973.2 IPS |
|
|
Image Classification (HP)
|
99% |
9057
1.69 KIPS |
|
|
Image Classification (Q)
|
99% |
4151
774.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
8997
145.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12202
197.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6809
110.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
63943
74.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
184610
215.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
53257
62.4 IPS |
|
|
Object Detection (SP)
|
100% |
6411
508.5 IPS |
|
|
Object Detection (HP)
|
100% |
11584
918.9 IPS |
|
|
Object Detection (Q)
|
85% |
5195
418.2 IPS |
|
|
Face Detection (SP)
|
100% |
15871
188.6 IPS |
|
|
Face Detection (HP)
|
100% |
25181
299.2 IPS |
|
|
Face Detection (Q)
|
97% |
12486
148.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
34161
263.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
62883
485.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
23151
185.3 IPS |
|
|
Style Transfer (SP)
|
100% |
108815
139.9 IPS |
|
|
Style Transfer (HP)
|
100% |
290079
372.9 IPS |
|
|
Style Transfer (Q)
|
98% |
87902
113.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19414
716.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32941
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13102
485.2 IPS |
|
|
Text Classification (SP)
|
100% |
2336
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3022
4.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1150
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2700
46.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3095
53.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1209
22.7 IPS |
