Samsung Galaxy A53 5G
Geekbench AI Score
387
Single Precision Score
382
Half Precision Score
732
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 08:43 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-A5360 |
| 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% |
197
36.7 IPS |
|
|
Image Classification (HP)
|
100% |
179
33.2 IPS |
|
|
Image Classification (Q)
|
100% |
495
92.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
215
3.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
570
9.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
842
0.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
833
0.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
1199
1.42 IPS |
|
|
Object Detection (SP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (HP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (Q)
|
83% |
487
39.3 IPS |
|
|
Face Detection (SP)
|
100% |
533
6.34 IPS |
|
|
Face Detection (HP)
|
100% |
531
6.31 IPS |
|
|
Face Detection (Q)
|
95% |
1183
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
716
5.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
708
5.45 IPS |
|
|
Depth Estimation (Q)
|
64% |
1137
10.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1393
1.81 IPS |
|
|
Style Transfer (HP)
|
89% |
1403
1.82 IPS |
|
|
Style Transfer (Q)
|
98% |
2882
3.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
370
13.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
369
13.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
692
25.6 IPS |
|
|
Text Classification (SP)
|
100% |
198
264.8 IPS |
|
|
Text Classification (HP)
|
100% |
196
262.1 IPS |
|
|
Text Classification (Q)
|
88% |
400
539.6 IPS |
|
|
Machine Translation (SP)
|
100% |
333
5.73 IPS |
|
|
Machine Translation (HP)
|
100% |
329
5.67 IPS |
|
|
Machine Translation (Q)
|
50% |
252
8.96 IPS |
