HP HP Pavilion Aero Laptop 13-be1xxx
Geekbench AI Score
1831
Single Precision Score
1859
Half Precision Score
1489
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | nwisecup |
| Upload Date | August 29 2024 11:55 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon (TM) Graphics |
| 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% |
556
103.4 IPS |
|
|
Image Classification (HP)
|
100% |
588
109.4 IPS |
|
|
Image Classification (Q)
|
99% |
595
110.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
671
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
700
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
567
9.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
12168
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20939
24.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
9823
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1000
79.4 IPS |
|
|
Object Detection (HP)
|
100% |
829
65.7 IPS |
|
|
Object Detection (Q)
|
89% |
935
74.9 IPS |
|
|
Face Detection (SP)
|
100% |
1972
23.4 IPS |
|
|
Face Detection (HP)
|
100% |
1651
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
1616
19.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3313
25.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4075
31.4 IPS |
|
|
Depth Estimation (Q)
|
72% |
4644
38.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20880
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13657
17.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15836
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1848
68.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2604
96.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1397
51.7 IPS |
|
|
Text Classification (SP)
|
100% |
359
479.2 IPS |
|
|
Text Classification (HP)
|
100% |
325
434.4 IPS |
|
|
Text Classification (Q)
|
97% |
203
272.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1031
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
891
15.4 IPS |
|
|
Machine Translation (Q)
|
60% |
515
11.6 IPS |
