Samsung Galaxy A53 5G
Geekbench AI Score
476
Single Precision Score
464
Half Precision Score
950
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 12:00 AM |
| 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-A536U |
| 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% |
222
41.2 IPS |
|
|
Image Classification (HP)
|
100% |
220
40.9 IPS |
|
|
Image Classification (Q)
|
100% |
716
133.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
286
4.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
287
4.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
794
12.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1098
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
901
1.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
1199
1.42 IPS |
|
|
Object Detection (SP)
|
100% |
163
12.9 IPS |
|
|
Object Detection (HP)
|
100% |
163
12.9 IPS |
|
|
Object Detection (Q)
|
83% |
484
39.1 IPS |
|
|
Face Detection (SP)
|
100% |
513
6.09 IPS |
|
|
Face Detection (HP)
|
100% |
510
6.06 IPS |
|
|
Face Detection (Q)
|
95% |
1173
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
879
6.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
850
6.55 IPS |
|
|
Depth Estimation (Q)
|
64% |
1696
15.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1885
2.45 IPS |
|
|
Style Transfer (HP)
|
89% |
1890
2.45 IPS |
|
|
Style Transfer (Q)
|
98% |
4100
5.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
451
16.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
452
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1026
38.0 IPS |
|
|
Text Classification (SP)
|
100% |
298
398.3 IPS |
|
|
Text Classification (HP)
|
100% |
296
395.7 IPS |
|
|
Text Classification (Q)
|
88% |
596
804.2 IPS |
|
|
Machine Translation (SP)
|
100% |
465
8.01 IPS |
|
|
Machine Translation (HP)
|
100% |
457
7.87 IPS |
|
|
Machine Translation (Q)
|
50% |
364
12.9 IPS |
