HP OMEN by HP Gaming Laptop 16-n0xxx
Geekbench AI Score
2687
Single Precision Score
1279
Half Precision Score
4785
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 11:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 6800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN by HP Gaming Laptop 16-n0xxx |
| Motherboard | HP 8A44 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 6800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2249
418.3 IPS |
|
|
Image Classification (HP)
|
100% |
494
91.8 IPS |
|
|
Image Classification (Q)
|
96% |
4359
813.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
778
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
459
7.44 IPS |
|
|
Image Segmentation (Q)
|
97% |
4907
79.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4056
4.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
3558
4.15 IPS |
|
|
Pose Estimation (Q)
|
86% |
9579
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
2017
160.0 IPS |
|
|
Object Detection (HP)
|
100% |
620
49.2 IPS |
|
|
Object Detection (Q)
|
58% |
2819
308.0 IPS |
|
|
Face Detection (SP)
|
100% |
4354
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
1352
16.1 IPS |
|
|
Face Detection (Q)
|
96% |
7100
84.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5415
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1887
14.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
9178
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10495
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8755
11.3 IPS |
|
|
Style Transfer (Q)
|
87% |
15369
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1843
68.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1627
60.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3618
134.1 IPS |
|
|
Text Classification (SP)
|
100% |
1611
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
834
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1282
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1870
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
776
13.4 IPS |
|
|
Machine Translation (Q)
|
68% |
2348
45.4 IPS |
