HP OMEN by HP Gaming Laptop 16-xd0xxx
Geekbench AI Score
3089
Single Precision Score
1448
Half Precision Score
6719
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 12:35 PM |
| Views | 5 |
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% |
2872
534.0 IPS |
|
|
Image Classification (HP)
|
100% |
557
103.6 IPS |
|
|
Image Classification (Q)
|
99% |
6622
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1195
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6571
106.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4001
4.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
3489
4.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
16513
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2045
162.2 IPS |
|
|
Object Detection (HP)
|
100% |
590
46.8 IPS |
|
|
Object Detection (Q)
|
86% |
5680
456.5 IPS |
|
|
Face Detection (SP)
|
100% |
4271
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
1319
15.7 IPS |
|
|
Face Detection (Q)
|
97% |
8784
104.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5497
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2364
18.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
7391
59.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12604
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11090
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22449
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2449
90.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2074
76.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5909
218.8 IPS |
|
|
Text Classification (SP)
|
100% |
1904
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
899
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1704
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2047
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3131
62.9 IPS |
