Samsung Galaxy A53 5G
Geekbench AI Score
410
Single Precision Score
416
Half Precision Score
813
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 20 2025 12:28 PM |
| Views | 1 |
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-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% |
229
42.5 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.7 IPS |
|
|
Image Classification (Q)
|
100% |
698
129.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
290
4.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
290
4.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
750
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1021
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
821
0.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
1191
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (HP)
|
100% |
163
13.0 IPS |
|
|
Object Detection (Q)
|
83% |
485
39.2 IPS |
|
|
Face Detection (SP)
|
100% |
522
6.20 IPS |
|
|
Face Detection (HP)
|
100% |
522
6.20 IPS |
|
|
Face Detection (Q)
|
95% |
1175
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
681
5.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
672
5.17 IPS |
|
|
Depth Estimation (Q)
|
64% |
1136
10.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1395
1.81 IPS |
|
|
Style Transfer (HP)
|
89% |
1746
2.27 IPS |
|
|
Style Transfer (Q)
|
98% |
3600
4.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
370
13.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
437
16.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
917
34.0 IPS |
|
|
Text Classification (SP)
|
100% |
199
265.0 IPS |
|
|
Text Classification (HP)
|
100% |
198
264.9 IPS |
|
|
Text Classification (Q)
|
88% |
395
532.1 IPS |
|
|
Machine Translation (SP)
|
100% |
333
5.73 IPS |
|
|
Machine Translation (HP)
|
100% |
337
5.81 IPS |
|
|
Machine Translation (Q)
|
50% |
241
8.54 IPS |
