Samsung Galaxy A52
Geekbench AI Score
502
Single Precision Score
888
Half Precision Score
1034
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Paslik19 |
| Upload Date | March 04 2026 07:56 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
230
42.7 IPS |
|
|
Image Classification (HP)
|
100% |
457
85.1 IPS |
|
|
Image Classification (Q)
|
99% |
681
127.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
276
4.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
504
8.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
734
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1066
1.24 IPS |
|
|
Pose Estimation (HP)
|
92% |
2179
2.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
1719
2.01 IPS |
|
|
Object Detection (SP)
|
100% |
234
18.5 IPS |
|
|
Object Detection (HP)
|
97% |
459
36.6 IPS |
|
|
Object Detection (Q)
|
85% |
677
54.5 IPS |
|
|
Face Detection (SP)
|
100% |
670
7.96 IPS |
|
|
Face Detection (HP)
|
100% |
1226
14.6 IPS |
|
|
Face Detection (Q)
|
97% |
1547
18.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
846
6.52 IPS |
|
|
Depth Estimation (HP)
|
98% |
1696
13.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
1566
14.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1885
2.45 IPS |
|
|
Style Transfer (HP)
|
88% |
2404
3.12 IPS |
|
|
Style Transfer (Q)
|
98% |
3893
5.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
471
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
909
33.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
968
35.9 IPS |
|
|
Text Classification (SP)
|
100% |
277
369.9 IPS |
|
|
Text Classification (HP)
|
100% |
450
600.8 IPS |
|
|
Text Classification (Q)
|
93% |
541
726.2 IPS |
|
|
Machine Translation (SP)
|
100% |
462
7.96 IPS |
|
|
Machine Translation (HP)
|
96% |
654
11.3 IPS |
|
|
Machine Translation (Q)
|
55% |
490
13.2 IPS |
