Samsung Galaxy A53 5G
Geekbench AI Score
238
Single Precision Score
328
Half Precision Score
343
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 18 2024 08:54 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
167
31.1 IPS |
|
|
Image Classification (HP)
|
100% |
300
55.7 IPS |
|
|
Image Classification (Q)
|
97% |
289
53.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
232
3.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
394
6.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
379
6.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
153
0.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
180
0.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
179
0.21 IPS |
|
|
Object Detection (SP)
|
100% |
143
11.3 IPS |
|
|
Object Detection (HP)
|
100% |
239
18.9 IPS |
|
|
Object Detection (Q)
|
92% |
236
18.8 IPS |
|
|
Face Detection (SP)
|
100% |
559
6.64 IPS |
|
|
Face Detection (HP)
|
100% |
832
9.88 IPS |
|
|
Face Detection (Q)
|
97% |
776
9.25 IPS |
|
|
Depth Estimation (SP)
|
100% |
296
2.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
381
2.93 IPS |
|
|
Depth Estimation (Q)
|
72% |
354
2.93 IPS |
|
|
Style Transfer (SP)
|
100% |
597
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
841
1.08 IPS |
|
|
Style Transfer (Q)
|
98% |
839
1.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
159
5.86 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
245
9.05 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
244
9.04 IPS |
|
|
Text Classification (SP)
|
100% |
162
216.4 IPS |
|
|
Text Classification (HP)
|
100% |
162
216.4 IPS |
|
|
Text Classification (Q)
|
91% |
333
447.3 IPS |
|
|
Machine Translation (SP)
|
100% |
274
4.72 IPS |
|
|
Machine Translation (HP)
|
100% |
276
4.75 IPS |
|
|
Machine Translation (Q)
|
57% |
266
6.50 IPS |
