HP HP Pavilion Aero Laptop 13-be1xxx
Geekbench AI Score
1011
Single Precision Score
271
Half Precision Score
1161
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | nwisecup |
| Upload Date | August 29 2024 11:51 PM |
| Views | 4 |
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% |
555
103.2 IPS |
|
|
Image Classification (HP)
|
100% |
51
9.44 IPS |
|
|
Image Classification (Q)
|
97% |
1052
196.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
611
9.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
86
1.39 IPS |
|
|
Image Segmentation (Q)
|
97% |
694
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1628
1.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
1423
1.66 IPS |
|
|
Pose Estimation (Q)
|
87% |
3572
4.22 IPS |
|
|
Object Detection (SP)
|
100% |
639
50.7 IPS |
|
|
Object Detection (HP)
|
100% |
73
5.81 IPS |
|
|
Object Detection (Q)
|
86% |
636
51.1 IPS |
|
|
Face Detection (SP)
|
100% |
1054
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
111
1.32 IPS |
|
|
Face Detection (Q)
|
96% |
1653
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1995
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
330
2.54 IPS |
|
|
Depth Estimation (Q)
|
76% |
2328
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4285
5.51 IPS |
|
|
Style Transfer (HP)
|
100% |
3534
4.54 IPS |
|
|
Style Transfer (Q)
|
87% |
6341
8.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
754
27.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
652
24.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1001
37.1 IPS |
|
|
Text Classification (SP)
|
100% |
588
785.1 IPS |
|
|
Text Classification (HP)
|
100% |
248
331.1 IPS |
|
|
Text Classification (Q)
|
97% |
148
197.9 IPS |
|
|
Machine Translation (SP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
232
3.99 IPS |
|
|
Machine Translation (Q)
|
60% |
747
16.7 IPS |
