Samsung Galaxy A53 5G
Geekbench AI Score
438
Single Precision Score
426
Half Precision Score
853
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 27 2025 08:12 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 1280 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy A53 5G |
| Model ID | samsung SM-A536B |
| Motherboard | s5e8825 |
| 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 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
235
43.8 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.7 IPS |
|
|
Image Classification (Q)
|
100% |
735
136.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
283
4.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
284
4.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
840
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1094
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1015
1.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
1651
1.96 IPS |
|
|
Object Detection (SP)
|
100% |
221
17.5 IPS |
|
|
Object Detection (HP)
|
100% |
220
17.5 IPS |
|
|
Object Detection (Q)
|
83% |
662
53.5 IPS |
|
|
Face Detection (SP)
|
100% |
666
7.91 IPS |
|
|
Face Detection (HP)
|
100% |
664
7.89 IPS |
|
|
Face Detection (Q)
|
95% |
1532
18.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
811
6.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
738
5.68 IPS |
|
|
Depth Estimation (Q)
|
64% |
1133
10.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1374
1.78 IPS |
|
|
Style Transfer (HP)
|
89% |
1360
1.77 IPS |
|
|
Style Transfer (Q)
|
98% |
2869
3.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
350
12.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
352
13.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
685
25.4 IPS |
|
|
Text Classification (SP)
|
100% |
192
256.0 IPS |
|
|
Text Classification (HP)
|
100% |
183
244.5 IPS |
|
|
Text Classification (Q)
|
88% |
355
478.3 IPS |
|
|
Machine Translation (SP)
|
100% |
326
5.61 IPS |
|
|
Machine Translation (HP)
|
100% |
323
5.56 IPS |
|
|
Machine Translation (Q)
|
50% |
250
8.87 IPS |
