HP OMEN by HP Gaming Laptop 16-n0xxx
Geekbench AI Score
3012
Single Precision Score
1437
Half Precision Score
5131
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 11:23 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% |
2421
450.2 IPS |
|
|
Image Classification (HP)
|
100% |
560
104.2 IPS |
|
|
Image Classification (Q)
|
96% |
4676
873.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
904
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
582
9.43 IPS |
|
|
Image Segmentation (Q)
|
97% |
5763
93.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4693
5.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
4057
4.73 IPS |
|
|
Pose Estimation (Q)
|
86% |
10586
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
2202
174.7 IPS |
|
|
Object Detection (HP)
|
100% |
703
55.7 IPS |
|
|
Object Detection (Q)
|
58% |
2992
326.9 IPS |
|
|
Face Detection (SP)
|
100% |
4682
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
1498
17.8 IPS |
|
|
Face Detection (Q)
|
96% |
7591
90.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5899
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2132
16.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
9973
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11891
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9394
12.1 IPS |
|
|
Style Transfer (Q)
|
87% |
16070
20.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2074
76.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1789
66.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3729
138.2 IPS |
|
|
Text Classification (SP)
|
100% |
1901
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
923
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1378
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2100
36.2 IPS |
|
|
Machine Translation (HP)
|
100% |
818
14.1 IPS |
|
|
Machine Translation (Q)
|
68% |
2371
45.8 IPS |
