Samsung Galaxy A54
Geekbench AI Score
759
Single Precision Score
749
Half Precision Score
1449
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 20 2025 08:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 1380 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
380
70.7 IPS |
|
|
Image Classification (HP)
|
100% |
390
72.5 IPS |
|
|
Image Classification (Q)
|
100% |
830
154.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
451
7.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
442
7.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
1229
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1704
1.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
1667
1.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
2847
3.38 IPS |
|
|
Object Detection (SP)
|
100% |
348
27.6 IPS |
|
|
Object Detection (HP)
|
100% |
332
26.3 IPS |
|
|
Object Detection (Q)
|
83% |
974
78.7 IPS |
|
|
Face Detection (SP)
|
100% |
920
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
1044
12.4 IPS |
|
|
Face Detection (Q)
|
95% |
2429
29.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1386
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1241
9.56 IPS |
|
|
Depth Estimation (Q)
|
64% |
2366
21.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2998
3.89 IPS |
|
|
Style Transfer (HP)
|
89% |
2910
3.78 IPS |
|
|
Style Transfer (Q)
|
98% |
6589
8.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
803
29.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
802
29.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1455
53.9 IPS |
|
|
Text Classification (SP)
|
100% |
349
466.5 IPS |
|
|
Text Classification (HP)
|
100% |
342
456.7 IPS |
|
|
Text Classification (Q)
|
88% |
724
976.9 IPS |
|
|
Machine Translation (SP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
568
9.78 IPS |
|
|
Machine Translation (Q)
|
50% |
363
12.9 IPS |
