HP HP Pavilion Aero Laptop 13-be1xxx
Geekbench AI Score
2310
Single Precision Score
2333
Half Precision Score
4351
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 10:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5625U with Radeon Graphics |
| 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% |
1466
272.6 IPS |
|
|
Image Classification (HP)
|
100% |
1522
283.1 IPS |
|
|
Image Classification (Q)
|
100% |
3141
584.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1576
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1647
26.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3131
50.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2638
3.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
2701
3.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
6243
7.32 IPS |
|
|
Object Detection (SP)
|
100% |
1479
117.3 IPS |
|
|
Object Detection (HP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (Q)
|
87% |
3114
249.8 IPS |
|
|
Face Detection (SP)
|
100% |
2764
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
2725
32.4 IPS |
|
|
Face Detection (Q)
|
97% |
8901
106.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3618
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3652
28.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
7660
60.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8049
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8143
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
20612
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1627
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1601
59.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4297
159.2 IPS |
|
|
Text Classification (SP)
|
100% |
1600
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
1582
2.11 KIPS |
|
|
Text Classification (Q)
|
91% |
930
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2294
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2288
39.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2266
39.0 IPS |
