Samsung Galaxy A53 5G
Geekbench ML Score
282
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | February 01 2025 12:56 PM |
| Views | 3 |
System Information
| 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 |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
102
19.2 IPS |
|
|
Image Classification (F16)
|
100% |
201
37.6 IPS |
|
|
Image Classification (I8)
|
97% |
195
36.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
203
3.39 IPS |
|
|
Image Segmentation (F16)
|
100% |
367
6.12 IPS |
|
|
Image Segmentation (I8)
|
98% |
363
6.06 IPS |
|
|
Pose Estimation (F32)
|
100% |
148
0.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
174
0.21 IPS |
|
|
Pose Estimation (I8)
|
100% |
173
0.21 IPS |
|
|
Object Detection (F32)
|
100% |
138
10.3 IPS |
|
|
Object Detection (F16)
|
100% |
226
16.9 IPS |
|
|
Object Detection (I8)
|
62% |
217
16.2 IPS |
|
|
Face Detection (F32)
|
100% |
542
6.45 IPS |
|
|
Face Detection (F16)
|
98% |
813
9.66 IPS |
|
|
Face Detection (I8)
|
86% |
758
9.02 IPS |
|
|
Depth Estimation (F32)
|
100% |
293
2.27 IPS |
|
|
Depth Estimation (F16)
|
100% |
379
2.94 IPS |
|
|
Depth Estimation (I8)
|
95% |
376
2.92 IPS |
|
|
Style Transfer (F32)
|
100% |
583
0.77 IPS |
|
|
Style Transfer (F16)
|
100% |
822
1.08 IPS |
|
|
Style Transfer (I8)
|
98% |
822
1.08 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
164
5.85 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
250
8.94 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
250
8.93 IPS |
|
|
Text Classification (F32)
|
100% |
148
212.7 IPS |
|
|
Text Classification (F16)
|
100% |
152
219.0 IPS |
|
|
Text Classification (I8)
|
92% |
310
445.7 IPS |
|
|
Machine Translation (F32)
|
100% |
262
4.82 IPS |
|
|
Machine Translation (F16)
|
100% |
268
4.92 IPS |
|
|
Machine Translation (I8)
|
64% |
362
6.67 IPS |
