Samsung Galaxy A52S 5G
Geekbench AI Score
805
Single Precision Score
806
Half Precision Score
1635
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | andreadandrea |
| Upload Date | January 04 2025 11:31 AM |
| Views | 5 |
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 | 5.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
416
77.4 IPS |
|
|
Image Classification (HP)
|
100% |
411
76.5 IPS |
|
|
Image Classification (Q)
|
100% |
1149
213.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
448
7.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
450
7.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
1364
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1783
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1842
2.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
2999
3.56 IPS |
|
|
Object Detection (SP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (HP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (Q)
|
83% |
1138
91.9 IPS |
|
|
Face Detection (SP)
|
100% |
990
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
988
11.7 IPS |
|
|
Face Detection (Q)
|
95% |
2798
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1492
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1486
11.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2746
25.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3074
3.99 IPS |
|
|
Style Transfer (HP)
|
89% |
3076
3.99 IPS |
|
|
Style Transfer (Q)
|
98% |
6895
8.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
781
28.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
783
28.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1641
60.8 IPS |
|
|
Text Classification (SP)
|
100% |
408
544.5 IPS |
|
|
Text Classification (HP)
|
100% |
405
540.2 IPS |
|
|
Text Classification (Q)
|
88% |
735
991.1 IPS |
|
|
Machine Translation (SP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
621
10.7 IPS |
|
|
Machine Translation (Q)
|
50% |
401
14.2 IPS |
