HP OMEN by HP Laptop 16-b0xxx
Geekbench AI Score
14689
Single Precision Score
25240
Half Precision Score
9870
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | OMD |
| Upload Date | June 29 2025 10:42 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Laptop GPU |
| 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% |
6081
1.13 KIPS |
|
|
Image Classification (HP)
|
99% |
9404
1.75 KIPS |
|
|
Image Classification (Q)
|
100% |
4587
853.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
10125
164.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15387
249.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8147
132.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
68192
79.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
223142
260.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
58051
68.0 IPS |
|
|
Object Detection (SP)
|
100% |
7451
591.1 IPS |
|
|
Object Detection (HP)
|
100% |
12869
1.02 KIPS |
|
|
Object Detection (Q)
|
85% |
5790
466.1 IPS |
|
|
Face Detection (SP)
|
100% |
18496
219.8 IPS |
|
|
Face Detection (HP)
|
100% |
29414
349.5 IPS |
|
|
Face Detection (Q)
|
97% |
14533
173.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
34300
264.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
71567
551.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
24294
194.5 IPS |
|
|
Style Transfer (SP)
|
100% |
126452
162.6 IPS |
|
|
Style Transfer (HP)
|
100% |
332237
427.1 IPS |
|
|
Style Transfer (Q)
|
98% |
97748
126.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23806
879.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35337
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14176
524.9 IPS |
|
|
Text Classification (SP)
|
100% |
2396
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
3062
4.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1184
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3269
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3338
57.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1206
22.6 IPS |
