HP OMEN by HP Gaming Laptop 16-xd0xxx
Geekbench ML Score
11126
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 05 2025 02:20 PM |
| Views | 5 |
System Information
| 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 |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5002
936.0 IPS |
|
|
Image Classification (F16)
|
100% |
5034
941.9 IPS |
|
|
Image Classification (I8)
|
100% |
4555
852.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
8287
138.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
8313
138.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
7555
126.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
62563
75.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
62992
76.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
55357
67.0 IPS |
|
|
Object Detection (F32)
|
100% |
4020
300.2 IPS |
|
|
Object Detection (F16)
|
100% |
3877
289.4 IPS |
|
|
Object Detection (I8)
|
61% |
3748
279.8 IPS |
|
|
Face Detection (F32)
|
100% |
13456
160.0 IPS |
|
|
Face Detection (F16)
|
100% |
13011
154.7 IPS |
|
|
Face Detection (I8)
|
89% |
11035
131.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
30193
234.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
31612
245.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
25486
197.6 IPS |
|
|
Style Transfer (F32)
|
100% |
100795
132.6 IPS |
|
|
Style Transfer (F16)
|
100% |
103770
136.5 IPS |
|
|
Style Transfer (I8)
|
98% |
91252
120.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20662
737.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20517
732.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15985
570.9 IPS |
|
|
Text Classification (F32)
|
100% |
2410
3.46 KIPS |
|
|
Text Classification (F16)
|
100% |
2248
3.23 KIPS |
|
|
Text Classification (I8)
|
98% |
1495
2.15 KIPS |
|
|
Machine Translation (F32)
|
100% |
2594
47.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2984
54.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1696
31.2 IPS |
