Samsung Galaxy A53 5G
Geekbench AI Score
448
Single Precision Score
453
Half Precision Score
915
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 01:24 AM |
| Views | 1 |
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-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% |
232
43.2 IPS |
|
|
Image Classification (HP)
|
100% |
228
42.4 IPS |
|
|
Image Classification (Q)
|
100% |
734
136.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
288
4.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
290
4.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
840
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1082
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1038
1.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
1693
2.01 IPS |
|
|
Object Detection (SP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (HP)
|
100% |
215
17.1 IPS |
|
|
Object Detection (Q)
|
83% |
608
49.1 IPS |
|
|
Face Detection (SP)
|
100% |
620
7.37 IPS |
|
|
Face Detection (HP)
|
100% |
582
6.91 IPS |
|
|
Face Detection (Q)
|
95% |
1324
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
745
5.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
685
5.28 IPS |
|
|
Depth Estimation (Q)
|
64% |
1134
10.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1382
1.79 IPS |
|
|
Style Transfer (HP)
|
89% |
1369
1.78 IPS |
|
|
Style Transfer (Q)
|
98% |
2867
3.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
690
25.6 IPS |
|
|
Text Classification (SP)
|
100% |
198
264.8 IPS |
|
|
Text Classification (HP)
|
100% |
299
399.2 IPS |
|
|
Text Classification (Q)
|
88% |
614
828.0 IPS |
|
|
Machine Translation (SP)
|
100% |
477
8.21 IPS |
|
|
Machine Translation (HP)
|
100% |
446
7.68 IPS |
|
|
Machine Translation (Q)
|
50% |
358
12.7 IPS |
