Samsung Galaxy A53 5G
Geekbench AI Score
452
Single Precision Score
442
Half Precision Score
898
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 01:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 1280 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
216
40.2 IPS |
|
|
Image Classification (HP)
|
100% |
214
39.8 IPS |
|
|
Image Classification (Q)
|
100% |
667
124.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
285
4.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
279
4.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
818
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1064
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1057
1.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
1666
1.98 IPS |
|
|
Object Detection (SP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (HP)
|
100% |
224
17.7 IPS |
|
|
Object Detection (Q)
|
83% |
673
54.4 IPS |
|
|
Face Detection (SP)
|
100% |
648
7.70 IPS |
|
|
Face Detection (HP)
|
100% |
658
7.82 IPS |
|
|
Face Detection (Q)
|
95% |
1610
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
899
6.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
882
6.79 IPS |
|
|
Depth Estimation (Q)
|
64% |
1569
14.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1808
2.35 IPS |
|
|
Style Transfer (HP)
|
89% |
1575
2.04 IPS |
|
|
Style Transfer (Q)
|
98% |
2886
3.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
356
13.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
345
12.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
673
24.9 IPS |
|
|
Text Classification (SP)
|
100% |
198
263.6 IPS |
|
|
Text Classification (HP)
|
100% |
196
261.0 IPS |
|
|
Text Classification (Q)
|
88% |
396
533.7 IPS |
|
|
Machine Translation (SP)
|
100% |
330
5.68 IPS |
|
|
Machine Translation (HP)
|
100% |
327
5.64 IPS |
|
|
Machine Translation (Q)
|
50% |
288
10.2 IPS |
