HP OMEN by HP Gaming Laptop 16-xd0xxx
Geekbench AI Score
3306
Single Precision Score
1527
Half Precision Score
5987
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 05:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| 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% |
3281
610.2 IPS |
|
|
Image Classification (HP)
|
100% |
623
115.9 IPS |
|
|
Image Classification (Q)
|
99% |
7615
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1012
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
847
13.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3599
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6843
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
5622
6.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
22811
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
3035
240.7 IPS |
|
|
Object Detection (HP)
|
100% |
822
65.2 IPS |
|
|
Object Detection (Q)
|
86% |
7378
592.9 IPS |
|
|
Face Detection (SP)
|
100% |
5143
61.1 IPS |
|
|
Face Detection (HP)
|
100% |
1711
20.3 IPS |
|
|
Face Detection (Q)
|
97% |
10138
120.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8628
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2644
20.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
6856
54.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9966
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9026
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18572
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1744
64.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1635
60.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2555
94.6 IPS |
|
|
Text Classification (SP)
|
100% |
1571
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
640
854.2 IPS |
|
|
Text Classification (Q)
|
97% |
1472
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1872
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2646
53.2 IPS |
