HP OMEN by HP Gaming Laptop 16-xd0xxx
Geekbench AI Score
3639
Single Precision Score
1716
Half Precision Score
6738
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 05:06 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% |
3155
586.8 IPS |
|
|
Image Classification (HP)
|
100% |
628
116.9 IPS |
|
|
Image Classification (Q)
|
99% |
7494
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
942
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
856
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3581
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6737
7.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
5644
6.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
23415
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
2831
224.6 IPS |
|
|
Object Detection (HP)
|
100% |
833
66.0 IPS |
|
|
Object Detection (Q)
|
86% |
7459
599.5 IPS |
|
|
Face Detection (SP)
|
100% |
5108
60.7 IPS |
|
|
Face Detection (HP)
|
100% |
1658
19.7 IPS |
|
|
Face Detection (Q)
|
97% |
10289
122.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8903
68.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2683
20.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
8311
66.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15796
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13432
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22877
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2524
93.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2287
84.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3288
121.8 IPS |
|
|
Text Classification (SP)
|
100% |
1841
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
818
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1875
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2155
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3413
68.6 IPS |
