Samsung Galaxy A53 5G
Geekbench AI Score
400
Single Precision Score
395
Half Precision Score
793
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 03:02 PM |
| Views | 2 |
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 | 5.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
178
33.0 IPS |
|
|
Image Classification (HP)
|
100% |
176
32.6 IPS |
|
|
Image Classification (Q)
|
100% |
538
100.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
226
3.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
227
3.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
614
9.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
865
1.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
849
0.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
1329
1.58 IPS |
|
|
Object Detection (SP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (HP)
|
100% |
177
14.1 IPS |
|
|
Object Detection (Q)
|
83% |
526
42.5 IPS |
|
|
Face Detection (SP)
|
100% |
555
6.60 IPS |
|
|
Face Detection (HP)
|
100% |
555
6.60 IPS |
|
|
Face Detection (Q)
|
95% |
1275
15.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
740
5.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
689
5.31 IPS |
|
|
Depth Estimation (Q)
|
64% |
1242
11.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1499
1.95 IPS |
|
|
Style Transfer (HP)
|
89% |
1496
1.94 IPS |
|
|
Style Transfer (Q)
|
98% |
3172
4.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
367
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
367
13.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
752
27.9 IPS |
|
|
Text Classification (SP)
|
100% |
213
284.0 IPS |
|
|
Text Classification (HP)
|
100% |
212
282.7 IPS |
|
|
Text Classification (Q)
|
88% |
425
572.9 IPS |
|
|
Machine Translation (SP)
|
100% |
358
6.17 IPS |
|
|
Machine Translation (HP)
|
100% |
353
6.08 IPS |
|
|
Machine Translation (Q)
|
50% |
266
9.45 IPS |
