Samsung Galaxy A54
Geekbench AI Score
475
Single Precision Score
752
Half Precision Score
561
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | tocophonic |
| Upload Date | November 21 2025 09:01 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
210
39.0 IPS |
|
|
Image Classification (HP)
|
100% |
248
46.0 IPS |
|
|
Image Classification (Q)
|
97% |
210
39.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
549
8.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
1096
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1051
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2341
2.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
4621
5.39 IPS |
|
|
Pose Estimation (Q)
|
95% |
4575
5.36 IPS |
|
|
Object Detection (SP)
|
100% |
345
27.4 IPS |
|
|
Object Detection (HP)
|
99% |
486
38.6 IPS |
|
|
Object Detection (Q)
|
83% |
452
36.5 IPS |
|
|
Face Detection (SP)
|
100% |
1123
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
1836
21.8 IPS |
|
|
Face Detection (Q)
|
96% |
1713
20.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1551
11.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
2784
21.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
2163
20.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3678
4.73 IPS |
|
|
Style Transfer (HP)
|
100% |
8511
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
8393
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
797
29.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1070
39.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1048
38.8 IPS |
|
|
Text Classification (SP)
|
35% |
6
57.0 IPS |
|
|
Text Classification (HP)
|
35% |
10
88.6 IPS |
|
|
Text Classification (Q)
|
29% |
5
87.5 IPS |
|
|
Machine Translation (SP)
|
100% |
209
3.60 IPS |
|
|
Machine Translation (HP)
|
100% |
206
3.55 IPS |
|
|
Machine Translation (Q)
|
43% |
42
2.42 IPS |
