Samsung Galaxy A53 5G
Geekbench AI Score
209
Single Precision Score
263
Half Precision Score
329
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 20 2025 02:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Samsung Exynos 1280 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy A53 5G |
| Model ID | samsung SM-A536E |
| 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 | 7.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
115
21.4 IPS |
|
|
Image Classification (HP)
|
100% |
116
21.5 IPS |
|
|
Image Classification (Q)
|
99% |
322
60.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
176
2.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
247
4.01 IPS |
|
|
Image Segmentation (Q)
|
98% |
370
6.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
682
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1764
2.06 IPS |
|
|
Pose Estimation (Q)
|
98% |
737
0.86 IPS |
|
|
Object Detection (SP)
|
100% |
112
8.90 IPS |
|
|
Object Detection (HP)
|
100% |
109
8.62 IPS |
|
|
Object Detection (Q)
|
87% |
310
24.9 IPS |
|
|
Face Detection (SP)
|
100% |
282
3.35 IPS |
|
|
Face Detection (HP)
|
100% |
275
3.26 IPS |
|
|
Face Detection (Q)
|
97% |
610
7.28 IPS |
|
|
Depth Estimation (SP)
|
100% |
232
1.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
213
1.64 IPS |
|
|
Depth Estimation (Q)
|
64% |
523
4.74 IPS |
|
|
Style Transfer (SP)
|
100% |
439
0.56 IPS |
|
|
Style Transfer (HP)
|
100% |
328
0.42 IPS |
|
|
Style Transfer (Q)
|
98% |
377
0.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
236
8.72 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
326
12.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
443
16.4 IPS |
|
|
Text Classification (SP)
|
100% |
56
74.6 IPS |
|
|
Text Classification (HP)
|
100% |
170
226.5 IPS |
|
|
Text Classification (Q)
|
91% |
44
59.4 IPS |
|
|
Machine Translation (SP)
|
100% |
282
4.85 IPS |
|
|
Machine Translation (HP)
|
100% |
278
4.79 IPS |
|
|
Machine Translation (Q)
|
57% |
240
5.87 IPS |
