HP HP Pavilion Aero Laptop 13-be1xxx
Geekbench AI Score
1769
Single Precision Score
909
Half Precision Score
3230
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 10:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5625U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP Pavilion Aero Laptop 13-be1xxx |
| Motherboard | HP 89FA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5625U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1287
239.4 IPS |
|
|
Image Classification (HP)
|
100% |
373
69.3 IPS |
|
|
Image Classification (Q)
|
96% |
3057
570.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
855
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
536
8.69 IPS |
|
|
Image Segmentation (Q)
|
97% |
3447
56.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2743
3.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
2261
2.64 IPS |
|
|
Pose Estimation (Q)
|
86% |
6117
7.23 IPS |
|
|
Object Detection (SP)
|
100% |
1396
110.7 IPS |
|
|
Object Detection (HP)
|
100% |
467
37.0 IPS |
|
|
Object Detection (Q)
|
58% |
1931
210.9 IPS |
|
|
Face Detection (SP)
|
100% |
2056
24.4 IPS |
|
|
Face Detection (HP)
|
100% |
888
10.5 IPS |
|
|
Face Detection (Q)
|
96% |
4937
58.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3330
25.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1246
9.60 IPS |
|
|
Depth Estimation (Q)
|
78% |
5888
47.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6326
8.13 IPS |
|
|
Style Transfer (HP)
|
100% |
5067
6.51 IPS |
|
|
Style Transfer (Q)
|
87% |
8164
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1204
44.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1034
38.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2681
99.3 IPS |
|
|
Text Classification (SP)
|
100% |
1108
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
601
801.6 IPS |
|
|
Text Classification (Q)
|
97% |
957
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1237
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
529
9.12 IPS |
|
|
Machine Translation (Q)
|
68% |
1635
31.6 IPS |
