Samsung Galaxy A52
Geekbench AI Score
330
Single Precision Score
549
Half Precision Score
505
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Paslik19 |
| Upload Date | March 04 2026 08:05 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 720G |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy A52 |
| Model ID | samsung SM-A525F |
| Motherboard | atoll |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 15 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.32 GHz |
| Memory Information | |
|---|---|
| Size | 3.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
232
43.2 IPS |
|
|
Image Classification (HP)
|
100% |
394
73.3 IPS |
|
|
Image Classification (Q)
|
99% |
372
69.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
343
5.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
584
9.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
544
8.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
1258
1.47 IPS |
|
|
Pose Estimation (HP)
|
99% |
2142
2.50 IPS |
|
|
Pose Estimation (Q)
|
97% |
2111
2.47 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (HP)
|
99% |
328
26.0 IPS |
|
|
Object Detection (Q)
|
85% |
315
25.3 IPS |
|
|
Face Detection (SP)
|
100% |
699
8.31 IPS |
|
|
Face Detection (HP)
|
100% |
1203
14.3 IPS |
|
|
Face Detection (Q)
|
97% |
1046
12.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
722
5.56 IPS |
|
|
Depth Estimation (HP)
|
98% |
1223
9.45 IPS |
|
|
Depth Estimation (Q)
|
63% |
997
9.21 IPS |
|
|
Style Transfer (SP)
|
100% |
1714
2.20 IPS |
|
|
Style Transfer (HP)
|
100% |
3319
4.27 IPS |
|
|
Style Transfer (Q)
|
98% |
3201
4.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
330
12.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
560
20.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
555
20.6 IPS |
|
|
Text Classification (SP)
|
35% |
13
127.2 IPS |
|
|
Text Classification (HP)
|
35% |
21
195.1 IPS |
|
|
Text Classification (Q)
|
35% |
21
189.6 IPS |
|
|
Machine Translation (SP)
|
100% |
206
3.54 IPS |
|
|
Machine Translation (HP)
|
97% |
268
4.64 IPS |
|
|
Machine Translation (Q)
|
64% |
209
4.29 IPS |
