HP HP Pavilion Aero Laptop 13-be1xxx
Geekbench AI Score
1930
Single Precision Score
2166
Half Precision Score
1459
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | nwisecup |
| Upload Date | September 15 2024 09:45 PM |
| Views | 3 |
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% |
561
104.3 IPS |
|
|
Image Classification (HP)
|
100% |
581
108.1 IPS |
|
|
Image Classification (Q)
|
99% |
715
133.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
704
11.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
553
8.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
11592
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
20568
24.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
9360
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1089
86.3 IPS |
|
|
Object Detection (HP)
|
100% |
1079
85.6 IPS |
|
|
Object Detection (Q)
|
89% |
837
67.0 IPS |
|
|
Face Detection (SP)
|
100% |
2007
23.9 IPS |
|
|
Face Detection (HP)
|
100% |
2249
26.7 IPS |
|
|
Face Detection (Q)
|
97% |
1602
19.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5704
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4262
32.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
4230
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19539
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27419
35.2 IPS |
|
|
Style Transfer (Q)
|
98% |
15297
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1807
66.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2495
92.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1301
48.2 IPS |
|
|
Text Classification (SP)
|
100% |
356
474.6 IPS |
|
|
Text Classification (HP)
|
100% |
341
454.8 IPS |
|
|
Text Classification (Q)
|
97% |
202
270.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1059
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1121
19.3 IPS |
|
|
Machine Translation (Q)
|
60% |
519
11.7 IPS |
