Samsung Galaxy A54
Geekbench AI Score
671
Single Precision Score
682
Half Precision Score
1495
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | tocophonic |
| Upload Date | November 21 2025 08:54 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 1380 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy A54 |
| Model ID | samsung SM-A546B |
| 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 | 7.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
206
38.3 IPS |
|
|
Image Classification (HP)
|
100% |
184
34.3 IPS |
|
|
Image Classification (Q)
|
100% |
869
161.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
268
4.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
301
4.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
1190
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1546
1.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1745
2.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
2841
3.37 IPS |
|
|
Object Detection (SP)
|
100% |
345
27.4 IPS |
|
|
Object Detection (HP)
|
100% |
366
29.0 IPS |
|
|
Object Detection (Q)
|
83% |
1074
86.8 IPS |
|
|
Face Detection (SP)
|
100% |
932
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
940
11.2 IPS |
|
|
Face Detection (Q)
|
95% |
2635
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1321
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1364
10.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2675
24.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3018
3.92 IPS |
|
|
Style Transfer (HP)
|
89% |
3008
3.91 IPS |
|
|
Style Transfer (Q)
|
98% |
6133
7.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
744
27.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
799
29.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1570
58.2 IPS |
|
|
Text Classification (SP)
|
100% |
384
512.6 IPS |
|
|
Text Classification (HP)
|
100% |
393
524.5 IPS |
|
|
Text Classification (Q)
|
88% |
734
990.6 IPS |
|
|
Machine Translation (SP)
|
100% |
594
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
514
8.85 IPS |
|
|
Machine Translation (Q)
|
50% |
357
12.7 IPS |
