Samsung Galaxy A53 5G
Geekbench AI Score
522
Single Precision Score
520
Half Precision Score
1068
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 15 2025 03:43 PM |
| 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 | 7.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
226
42.1 IPS |
|
|
Image Classification (HP)
|
100% |
231
43.0 IPS |
|
|
Image Classification (Q)
|
100% |
734
136.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
293
4.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
302
4.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
848
13.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1128
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1113
1.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
1696
2.01 IPS |
|
|
Object Detection (SP)
|
100% |
224
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
224
17.8 IPS |
|
|
Object Detection (Q)
|
83% |
712
57.5 IPS |
|
|
Face Detection (SP)
|
100% |
732
8.70 IPS |
|
|
Face Detection (HP)
|
100% |
735
8.74 IPS |
|
|
Face Detection (Q)
|
95% |
1711
20.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
915
7.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
894
6.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
1639
15.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1922
2.49 IPS |
|
|
Style Transfer (HP)
|
89% |
1912
2.48 IPS |
|
|
Style Transfer (Q)
|
98% |
4124
5.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
505
18.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
505
18.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1018
37.7 IPS |
|
|
Text Classification (SP)
|
100% |
296
395.0 IPS |
|
|
Text Classification (HP)
|
100% |
293
390.5 IPS |
|
|
Text Classification (Q)
|
88% |
608
819.6 IPS |
|
|
Machine Translation (SP)
|
100% |
470
8.10 IPS |
|
|
Machine Translation (HP)
|
100% |
454
7.82 IPS |
|
|
Machine Translation (Q)
|
50% |
360
12.8 IPS |
