HP OMEN by HP Gaming Laptop 16-xd0xxx
Geekbench AI Score
15570
Single Precision Score
27160
Half Precision Score
12230
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 07 2025 06:54 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 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% |
6233
1.16 KIPS |
|
|
Image Classification (HP)
|
99% |
11229
2.09 KIPS |
|
|
Image Classification (Q)
|
99% |
5629
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11291
183.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16395
265.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10093
164.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
69844
81.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
219811
256.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
61300
71.8 IPS |
|
|
Object Detection (SP)
|
100% |
7812
619.7 IPS |
|
|
Object Detection (HP)
|
100% |
13452
1.07 KIPS |
|
|
Object Detection (Q)
|
84% |
6687
539.4 IPS |
|
|
Face Detection (SP)
|
100% |
16862
200.4 IPS |
|
|
Face Detection (HP)
|
100% |
30758
365.5 IPS |
|
|
Face Detection (Q)
|
97% |
16072
191.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
34936
269.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
69667
536.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
29192
233.5 IPS |
|
|
Style Transfer (SP)
|
100% |
117759
151.4 IPS |
|
|
Style Transfer (HP)
|
100% |
293225
376.9 IPS |
|
|
Style Transfer (Q)
|
98% |
106089
136.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24857
917.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40306
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18240
675.4 IPS |
|
|
Text Classification (SP)
|
100% |
3124
4.17 KIPS |
|
|
Text Classification (HP)
|
99% |
3637
4.85 KIPS |
|
|
Text Classification (Q)
|
97% |
1904
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4048
69.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4357
75.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1860
34.9 IPS |
