Samsung Galaxy A53 5G
Geekbench AI Score
347
Single Precision Score
363
Half Precision Score
666
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 18 2025 02:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 1280 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy A53 5G |
| Model ID | samsung SM-A536W |
| 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% |
154
28.6 IPS |
|
|
Image Classification (HP)
|
100% |
168
31.2 IPS |
|
|
Image Classification (Q)
|
100% |
430
80.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
223
3.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
166
2.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
407
6.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
765
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
798
0.93 IPS |
|
|
Pose Estimation (Q)
|
84% |
1216
1.44 IPS |
|
|
Object Detection (SP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (HP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (Q)
|
83% |
414
33.4 IPS |
|
|
Face Detection (SP)
|
100% |
547
6.51 IPS |
|
|
Face Detection (HP)
|
100% |
548
6.52 IPS |
|
|
Face Detection (Q)
|
95% |
1084
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
671
5.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
645
4.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
1139
10.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1283
1.67 IPS |
|
|
Style Transfer (HP)
|
89% |
1418
1.84 IPS |
|
|
Style Transfer (Q)
|
98% |
2905
3.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
259
9.58 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
353
13.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
627
23.2 IPS |
|
|
Text Classification (SP)
|
100% |
198
264.6 IPS |
|
|
Text Classification (HP)
|
100% |
179
239.2 IPS |
|
|
Text Classification (Q)
|
88% |
343
463.0 IPS |
|
|
Machine Translation (SP)
|
100% |
285
4.91 IPS |
|
|
Machine Translation (HP)
|
100% |
342
5.89 IPS |
|
|
Machine Translation (Q)
|
50% |
254
9.02 IPS |
