Samsung Galaxy A52S 5G
Geekbench AI Score
299
Single Precision Score
375
Half Precision Score
382
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | andreadandrea |
| Upload Date | January 04 2025 11:54 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
201
37.4 IPS |
|
|
Image Classification (HP)
|
100% |
274
50.9 IPS |
|
|
Image Classification (Q)
|
97% |
256
47.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
242
3.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
344
5.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
323
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
229
0.27 IPS |
|
|
Pose Estimation (Q)
|
95% |
230
0.27 IPS |
|
|
Object Detection (SP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (HP)
|
100% |
195
15.5 IPS |
|
|
Object Detection (Q)
|
89% |
187
15.0 IPS |
|
|
Face Detection (SP)
|
100% |
640
7.60 IPS |
|
|
Face Detection (HP)
|
100% |
915
10.9 IPS |
|
|
Face Detection (Q)
|
97% |
824
9.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
496
3.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
747
5.77 IPS |
|
|
Depth Estimation (Q)
|
62% |
607
5.75 IPS |
|
|
Style Transfer (SP)
|
100% |
979
1.26 IPS |
|
|
Style Transfer (HP)
|
100% |
1658
2.13 IPS |
|
|
Style Transfer (Q)
|
98% |
1652
2.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
210
7.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
375
13.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
360
13.4 IPS |
|
|
Text Classification (SP)
|
100% |
144
192.3 IPS |
|
|
Text Classification (HP)
|
100% |
144
192.0 IPS |
|
|
Text Classification (Q)
|
91% |
275
369.4 IPS |
|
|
Machine Translation (SP)
|
100% |
245
4.22 IPS |
|
|
Machine Translation (HP)
|
100% |
245
4.22 IPS |
|
|
Machine Translation (Q)
|
57% |
215
5.26 IPS |
