HP OMEN by HP Gaming Laptop 16-xd0xxx
Geekbench AI Score
17168
Single Precision Score
29477
Half Precision Score
13561
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 26 2025 09:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP OMEN by HP Gaming Laptop 16-xd0xxx |
| Motherboard | HP 8BCD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6805
1.27 KIPS |
|
|
Image Classification (HP)
|
99% |
11846
2.21 KIPS |
|
|
Image Classification (Q)
|
99% |
6183
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12612
204.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17933
290.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
11201
182.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
87150
101.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
246352
287.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
76257
89.3 IPS |
|
|
Object Detection (SP)
|
100% |
8539
677.3 IPS |
|
|
Object Detection (HP)
|
100% |
15501
1.23 KIPS |
|
|
Object Detection (Q)
|
84% |
7539
608.0 IPS |
|
|
Face Detection (SP)
|
100% |
21082
250.5 IPS |
|
|
Face Detection (HP)
|
100% |
33721
400.7 IPS |
|
|
Face Detection (Q)
|
97% |
18333
218.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
40269
310.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
80554
620.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
33200
265.6 IPS |
|
|
Style Transfer (SP)
|
100% |
134653
173.1 IPS |
|
|
Style Transfer (HP)
|
100% |
344796
443.2 IPS |
|
|
Style Transfer (Q)
|
98% |
121326
156.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26757
988.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44639
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20670
765.4 IPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
99% |
3440
4.59 KIPS |
|
|
Text Classification (Q)
|
97% |
1837
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3864
66.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4246
73.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1885
35.4 IPS |
