HP HP Pavilion Aero Laptop 13-be1xxx
Geekbench AI Score
649
Single Precision Score
634
Half Precision Score
1029
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | nwisecup |
| Upload Date | September 15 2024 10:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5825U with Radeon 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% |
420
78.0 IPS |
|
|
Image Classification (HP)
|
100% |
362
67.4 IPS |
|
|
Image Classification (Q)
|
100% |
656
122.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
406
6.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
401
6.51 IPS |
|
|
Image Segmentation (Q)
|
99% |
591
9.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
809
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
851
0.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
1792
2.10 IPS |
|
|
Object Detection (SP)
|
100% |
365
29.0 IPS |
|
|
Object Detection (HP)
|
100% |
346
27.5 IPS |
|
|
Object Detection (Q)
|
87% |
623
49.9 IPS |
|
|
Face Detection (SP)
|
100% |
1113
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
1149
13.6 IPS |
|
|
Face Detection (Q)
|
97% |
1708
20.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
979
7.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
962
7.41 IPS |
|
|
Depth Estimation (Q)
|
81% |
1760
13.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2107
2.71 IPS |
|
|
Style Transfer (HP)
|
100% |
2176
2.80 IPS |
|
|
Style Transfer (Q)
|
98% |
4794
6.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
452
16.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
447
16.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
910
33.7 IPS |
|
|
Text Classification (SP)
|
100% |
324
431.8 IPS |
|
|
Text Classification (HP)
|
100% |
312
416.8 IPS |
|
|
Text Classification (Q)
|
91% |
312
418.8 IPS |
|
|
Machine Translation (SP)
|
100% |
787
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
739
12.7 IPS |
|
|
Machine Translation (Q)
|
100% |
755
13.0 IPS |
