Samsung Galaxy A52S 5G
Geekbench AI Score
351
Single Precision Score
314
Half Precision Score
736
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 25 2025 05:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
217
40.4 IPS |
|
|
Image Classification (HP)
|
100% |
162
30.1 IPS |
|
|
Image Classification (Q)
|
100% |
561
104.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
173
2.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
175
2.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
493
8.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
1105
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
627
0.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
1171
1.39 IPS |
|
|
Object Detection (SP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (HP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (Q)
|
83% |
521
42.1 IPS |
|
|
Face Detection (SP)
|
100% |
350
4.15 IPS |
|
|
Face Detection (HP)
|
100% |
335
3.98 IPS |
|
|
Face Detection (Q)
|
95% |
875
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
489
3.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
489
3.77 IPS |
|
|
Depth Estimation (Q)
|
64% |
1394
12.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1152
1.50 IPS |
|
|
Style Transfer (HP)
|
89% |
1151
1.49 IPS |
|
|
Style Transfer (Q)
|
98% |
3678
4.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
290
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
291
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
622
23.1 IPS |
|
|
Text Classification (SP)
|
100% |
214
285.6 IPS |
|
|
Text Classification (HP)
|
100% |
179
238.8 IPS |
|
|
Text Classification (Q)
|
88% |
370
498.9 IPS |
|
|
Machine Translation (SP)
|
100% |
355
6.11 IPS |
|
|
Machine Translation (HP)
|
100% |
344
5.93 IPS |
|
|
Machine Translation (Q)
|
50% |
270
9.58 IPS |
