Samsung Galaxy A53 5G
Geekbench AI Score
371
Single Precision Score
365
Half Precision Score
728
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 06:19 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 | 5.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
162
30.2 IPS |
|
|
Image Classification (HP)
|
100% |
161
29.9 IPS |
|
|
Image Classification (Q)
|
100% |
495
92.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
211
3.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
211
3.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
570
9.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
821
0.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
792
0.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
1195
1.42 IPS |
|
|
Object Detection (SP)
|
100% |
163
13.0 IPS |
|
|
Object Detection (HP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (Q)
|
83% |
485
39.2 IPS |
|
|
Face Detection (SP)
|
100% |
512
6.08 IPS |
|
|
Face Detection (HP)
|
100% |
511
6.07 IPS |
|
|
Face Detection (Q)
|
95% |
1172
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
681
5.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
627
4.83 IPS |
|
|
Depth Estimation (Q)
|
64% |
1132
10.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1379
1.79 IPS |
|
|
Style Transfer (HP)
|
89% |
1358
1.76 IPS |
|
|
Style Transfer (Q)
|
98% |
2871
3.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
352
13.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
347
12.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
689
25.5 IPS |
|
|
Text Classification (SP)
|
100% |
199
265.0 IPS |
|
|
Text Classification (HP)
|
100% |
197
262.4 IPS |
|
|
Text Classification (Q)
|
88% |
394
531.4 IPS |
|
|
Machine Translation (SP)
|
100% |
328
5.66 IPS |
|
|
Machine Translation (HP)
|
100% |
325
5.60 IPS |
|
|
Machine Translation (Q)
|
50% |
250
8.87 IPS |
