Samsung Galaxy A52S 5G
Geekbench AI Score
504
Single Precision Score
794
Half Precision Score
721
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 25 2025 05:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 778G |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy A52S 5G |
| Model ID | samsung SM-A528B |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
372
69.3 IPS |
|
|
Image Classification (HP)
|
100% |
535
99.5 IPS |
|
|
Image Classification (Q)
|
99% |
510
95.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
606
9.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
961
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
776
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2235
2.61 IPS |
|
|
Pose Estimation (HP)
|
99% |
3999
4.67 IPS |
|
|
Pose Estimation (Q)
|
97% |
3905
4.57 IPS |
|
|
Object Detection (SP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (HP)
|
99% |
420
33.3 IPS |
|
|
Object Detection (Q)
|
85% |
395
31.8 IPS |
|
|
Face Detection (SP)
|
100% |
957
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
1502
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
1304
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1362
10.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2252
17.4 IPS |
|
|
Depth Estimation (Q)
|
65% |
1857
16.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2763
3.55 IPS |
|
|
Style Transfer (HP)
|
100% |
5736
7.37 IPS |
|
|
Style Transfer (Q)
|
98% |
5632
7.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
580
21.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
905
33.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
819
30.3 IPS |
|
|
Text Classification (SP)
|
35% |
20
199.5 IPS |
|
|
Text Classification (HP)
|
35% |
32
295.3 IPS |
|
|
Text Classification (Q)
|
35% |
32
287.5 IPS |
|
|
Machine Translation (SP)
|
100% |
159
2.74 IPS |
|
|
Machine Translation (HP)
|
97% |
206
3.56 IPS |
|
|
Machine Translation (Q)
|
64% |
174
3.58 IPS |
