HP HP Pavilion Aero Laptop 13-be1xxx
Geekbench AI Score
1035
Single Precision Score
501
Half Precision Score
1160
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | nwisecup |
| Upload Date | September 15 2024 09:55 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5825U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Pavilion Aero Laptop 13-be1xxx |
| Motherboard | HP 89FA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5825U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
622
115.6 IPS |
|
|
Image Classification (HP)
|
100% |
190
35.3 IPS |
|
|
Image Classification (Q)
|
96% |
1033
193.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
635
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
308
4.99 IPS |
|
|
Image Segmentation (Q)
|
97% |
679
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1637
1.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
1431
1.67 IPS |
|
|
Pose Estimation (Q)
|
87% |
3589
4.24 IPS |
|
|
Object Detection (SP)
|
100% |
688
54.6 IPS |
|
|
Object Detection (HP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (Q)
|
86% |
662
53.2 IPS |
|
|
Face Detection (SP)
|
100% |
1131
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
545
6.48 IPS |
|
|
Face Detection (Q)
|
96% |
1603
19.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2025
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
715
5.51 IPS |
|
|
Depth Estimation (Q)
|
77% |
2192
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4301
5.53 IPS |
|
|
Style Transfer (HP)
|
100% |
3688
4.74 IPS |
|
|
Style Transfer (Q)
|
87% |
6344
8.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
762
28.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
665
24.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1009
37.4 IPS |
|
|
Text Classification (SP)
|
100% |
555
740.6 IPS |
|
|
Text Classification (HP)
|
100% |
238
318.0 IPS |
|
|
Text Classification (Q)
|
97% |
161
215.2 IPS |
|
|
Machine Translation (SP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
230
3.96 IPS |
|
|
Machine Translation (Q)
|
60% |
736
16.4 IPS |
