HP OMEN by HP Gaming Laptop 16-n0xxx
Geekbench AI Score
6209
Single Precision Score
8658
Half Precision Score
4586
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 11:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| 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% |
2184
406.1 IPS |
|
|
Image Classification (HP)
|
100% |
3022
562.0 IPS |
|
|
Image Classification (Q)
|
100% |
1913
355.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2522
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3230
52.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2128
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
31278
36.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
57505
67.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23263
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
2352
186.6 IPS |
|
|
Object Detection (HP)
|
100% |
3214
255.0 IPS |
|
|
Object Detection (Q)
|
87% |
2179
175.0 IPS |
|
|
Face Detection (SP)
|
100% |
5065
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
8167
97.0 IPS |
|
|
Face Detection (Q)
|
97% |
4264
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14721
113.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
21232
163.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
11102
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
57688
74.2 IPS |
|
|
Style Transfer (HP)
|
100% |
85372
109.7 IPS |
|
|
Style Transfer (Q)
|
98% |
38687
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11097
409.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15900
587.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6762
250.4 IPS |
|
|
Text Classification (SP)
|
100% |
1512
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1789
2.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1117
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2912
50.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3119
53.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1444
27.1 IPS |
