Samsung Galaxy A54
Geekbench AI Score
490
Single Precision Score
752
Half Precision Score
638
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | December 22 2025 09:26 PM |
| Views | 3 |
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% |
262
48.8 IPS |
|
|
Image Classification (HP)
|
100% |
194
36.2 IPS |
|
|
Image Classification (Q)
|
97% |
387
72.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
544
8.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
1125
18.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1034
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2308
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
4585
5.35 IPS |
|
|
Pose Estimation (Q)
|
95% |
4544
5.33 IPS |
|
|
Object Detection (SP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (HP)
|
99% |
486
38.6 IPS |
|
|
Object Detection (Q)
|
83% |
473
38.2 IPS |
|
|
Face Detection (SP)
|
100% |
1113
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
1893
22.5 IPS |
|
|
Face Detection (Q)
|
96% |
1796
21.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1541
11.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
2812
21.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
2154
20.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3683
4.73 IPS |
|
|
Style Transfer (HP)
|
100% |
8546
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
8381
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
786
29.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
887
32.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1013
37.5 IPS |
|
|
Text Classification (SP)
|
35% |
6
58.5 IPS |
|
|
Text Classification (HP)
|
35% |
10
86.6 IPS |
|
|
Text Classification (Q)
|
29% |
5
88.7 IPS |
|
|
Machine Translation (SP)
|
100% |
241
4.15 IPS |
|
|
Machine Translation (HP)
|
100% |
298
5.13 IPS |
|
|
Machine Translation (Q)
|
43% |
80
4.66 IPS |
