Samsung Galaxy A52S 5G
Geekbench AI Score
170
Single Precision Score
171
Half Precision Score
409
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | andreadandrea |
| Upload Date | January 04 2025 12:16 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 5.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
99
18.5 IPS |
|
|
Image Classification (HP)
|
100% |
100
18.6 IPS |
|
|
Image Classification (Q)
|
99% |
272
50.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
135
2.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
136
2.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
300
4.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
182
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
181
0.21 IPS |
|
|
Pose Estimation (Q)
|
98% |
702
0.82 IPS |
|
|
Object Detection (SP)
|
100% |
99
7.88 IPS |
|
|
Object Detection (HP)
|
100% |
100
7.90 IPS |
|
|
Object Detection (Q)
|
87% |
292
23.4 IPS |
|
|
Face Detection (SP)
|
100% |
259
3.07 IPS |
|
|
Face Detection (HP)
|
100% |
261
3.10 IPS |
|
|
Face Detection (Q)
|
97% |
587
7.00 IPS |
|
|
Depth Estimation (SP)
|
100% |
222
1.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
223
1.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
540
4.90 IPS |
|
|
Style Transfer (SP)
|
100% |
392
0.50 IPS |
|
|
Style Transfer (HP)
|
100% |
391
0.50 IPS |
|
|
Style Transfer (Q)
|
98% |
1081
1.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
112
4.12 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
112
4.13 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
387
14.3 IPS |
|
|
Text Classification (SP)
|
100% |
144
192.2 IPS |
|
|
Text Classification (HP)
|
100% |
145
192.9 IPS |
|
|
Text Classification (Q)
|
91% |
275
369.9 IPS |
|
|
Machine Translation (SP)
|
100% |
242
4.17 IPS |
|
|
Machine Translation (HP)
|
100% |
242
4.16 IPS |
|
|
Machine Translation (Q)
|
57% |
216
5.29 IPS |
