HP OMEN by HP Gaming Laptop 16-n0xxx
Geekbench AI Score
15412
Single Precision Score
25284
Half Precision Score
10049
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 11:25 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Ti Laptop GPU |
| 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% |
6201
1.15 KIPS |
|
|
Image Classification (HP)
|
99% |
10092
1.88 KIPS |
|
|
Image Classification (Q)
|
100% |
4530
842.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
10720
173.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16306
264.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8167
132.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
85848
100.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
240193
280.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
68475
80.2 IPS |
|
|
Object Detection (SP)
|
100% |
8234
653.1 IPS |
|
|
Object Detection (HP)
|
100% |
13147
1.04 KIPS |
|
|
Object Detection (Q)
|
85% |
6045
486.6 IPS |
|
|
Face Detection (SP)
|
100% |
18229
216.6 IPS |
|
|
Face Detection (HP)
|
100% |
29253
347.6 IPS |
|
|
Face Detection (Q)
|
97% |
13820
164.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
39170
301.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
74076
570.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
25417
203.6 IPS |
|
|
Style Transfer (SP)
|
100% |
144735
186.1 IPS |
|
|
Style Transfer (HP)
|
100% |
370670
476.5 IPS |
|
|
Style Transfer (Q)
|
98% |
114585
147.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23570
870.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30529
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14810
548.4 IPS |
|
|
Text Classification (SP)
|
100% |
2244
3.00 KIPS |
|
|
Text Classification (HP)
|
99% |
2466
3.29 KIPS |
|
|
Text Classification (Q)
|
97% |
960
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2945
50.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3398
58.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1199
22.5 IPS |
