Samsung Galaxy A52
Geekbench AI Score
178
Single Precision Score
268
Half Precision Score
274
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | February 25 2025 10:02 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 | 7.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
101
18.7 IPS |
|
|
Image Classification (HP)
|
100% |
160
29.7 IPS |
|
|
Image Classification (Q)
|
97% |
163
30.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
129
2.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
223
3.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
226
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
201
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
278
0.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
275
0.32 IPS |
|
|
Object Detection (SP)
|
100% |
91
7.22 IPS |
|
|
Object Detection (HP)
|
100% |
134
10.6 IPS |
|
|
Object Detection (Q)
|
89% |
139
11.2 IPS |
|
|
Face Detection (SP)
|
100% |
241
2.86 IPS |
|
|
Face Detection (HP)
|
100% |
436
5.18 IPS |
|
|
Face Detection (Q)
|
97% |
448
5.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
240
1.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
410
3.17 IPS |
|
|
Depth Estimation (Q)
|
62% |
337
3.19 IPS |
|
|
Style Transfer (SP)
|
100% |
474
0.61 IPS |
|
|
Style Transfer (HP)
|
100% |
1006
1.29 IPS |
|
|
Style Transfer (Q)
|
98% |
1007
1.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
121
4.49 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
200
7.37 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
197
7.31 IPS |
|
|
Text Classification (SP)
|
100% |
157
209.6 IPS |
|
|
Text Classification (HP)
|
100% |
158
211.2 IPS |
|
|
Text Classification (Q)
|
91% |
269
361.7 IPS |
|
|
Machine Translation (SP)
|
100% |
266
4.58 IPS |
|
|
Machine Translation (HP)
|
100% |
262
4.52 IPS |
|
|
Machine Translation (Q)
|
57% |
213
5.21 IPS |
