Samsung Galaxy A54
Geekbench AI Score
830
Single Precision Score
826
Half Precision Score
1774
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | yakovlev |
| Upload Date | April 02 2025 10:39 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 1380 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy A54 |
| Model ID | samsung SM-A546E |
| Motherboard | s5e8835 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
443
82.4 IPS |
|
|
Image Classification (HP)
|
100% |
426
79.2 IPS |
|
|
Image Classification (Q)
|
100% |
1352
251.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
505
8.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
484
7.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
1545
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1787
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1776
2.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
3313
3.93 IPS |
|
|
Object Detection (SP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (HP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (Q)
|
83% |
1203
97.2 IPS |
|
|
Face Detection (SP)
|
100% |
1085
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
1084
12.9 IPS |
|
|
Face Detection (Q)
|
95% |
2958
35.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1536
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1519
11.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3020
27.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3127
4.06 IPS |
|
|
Style Transfer (HP)
|
89% |
3079
4.00 IPS |
|
|
Style Transfer (Q)
|
98% |
7559
9.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
733
27.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
821
30.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1792
66.4 IPS |
|
|
Text Classification (SP)
|
100% |
419
559.4 IPS |
|
|
Text Classification (HP)
|
100% |
422
563.2 IPS |
|
|
Text Classification (Q)
|
88% |
871
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
605
10.4 IPS |
|
|
Machine Translation (Q)
|
50% |
352
12.5 IPS |
