Samsung Galaxy A52S 5G
Geekbench ML Score
556
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 22 2024 06:53 AM |
| Views | 1 |
System Information
| 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 | 7.19 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
265
49.6 IPS |
|
|
Image Classification (F16)
|
100% |
260
48.7 IPS |
|
|
Image Classification (I8)
|
97% |
644
120.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
349
5.83 IPS |
|
|
Image Segmentation (F16)
|
100% |
355
5.92 IPS |
|
|
Image Segmentation (I8)
|
98% |
502
8.39 IPS |
|
|
Pose Estimation (F32)
|
100% |
518
0.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
511
0.62 IPS |
|
|
Pose Estimation (I8)
|
100% |
2660
3.22 IPS |
|
|
Object Detection (F32)
|
100% |
279
20.8 IPS |
|
|
Object Detection (F16)
|
100% |
286
21.3 IPS |
|
|
Object Detection (I8)
|
61% |
745
55.6 IPS |
|
|
Face Detection (F32)
|
100% |
520
6.18 IPS |
|
|
Face Detection (F16)
|
100% |
518
6.16 IPS |
|
|
Face Detection (I8)
|
86% |
1450
17.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
541
4.20 IPS |
|
|
Depth Estimation (F16)
|
100% |
530
4.11 IPS |
|
|
Depth Estimation (I8)
|
95% |
1375
10.7 IPS |
|
|
Style Transfer (F32)
|
100% |
928
1.22 IPS |
|
|
Style Transfer (F16)
|
100% |
919
1.21 IPS |
|
|
Style Transfer (I8)
|
98% |
2531
3.33 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
362
12.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
353
12.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1249
44.6 IPS |
|
|
Text Classification (F32)
|
100% |
345
496.2 IPS |
|
|
Text Classification (F16)
|
100% |
342
491.5 IPS |
|
|
Text Classification (I8)
|
92% |
288
414.0 IPS |
|
|
Machine Translation (F32)
|
100% |
625
11.5 IPS |
|
|
Machine Translation (F16)
|
100% |
635
11.7 IPS |
|
|
Machine Translation (I8)
|
64% |
280
5.14 IPS |
