Samsung Galaxy A52S 5G
Geekbench ML Score
560
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 04 2024 07:38 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% |
261
48.8 IPS |
|
|
Image Classification (F16)
|
100% |
263
49.2 IPS |
|
|
Image Classification (I8)
|
97% |
643
120.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
346
5.77 IPS |
|
|
Image Segmentation (F16)
|
100% |
343
5.74 IPS |
|
|
Image Segmentation (I8)
|
98% |
508
8.48 IPS |
|
|
Pose Estimation (F32)
|
100% |
520
0.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
512
0.62 IPS |
|
|
Pose Estimation (I8)
|
100% |
2619
3.17 IPS |
|
|
Object Detection (F32)
|
100% |
283
21.2 IPS |
|
|
Object Detection (F16)
|
100% |
286
21.4 IPS |
|
|
Object Detection (I8)
|
61% |
752
56.1 IPS |
|
|
Face Detection (F32)
|
100% |
531
6.31 IPS |
|
|
Face Detection (F16)
|
100% |
530
6.30 IPS |
|
|
Face Detection (I8)
|
86% |
1466
17.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
535
4.15 IPS |
|
|
Depth Estimation (F16)
|
100% |
531
4.12 IPS |
|
|
Depth Estimation (I8)
|
95% |
1419
11.0 IPS |
|
|
Style Transfer (F32)
|
100% |
930
1.22 IPS |
|
|
Style Transfer (F16)
|
100% |
926
1.22 IPS |
|
|
Style Transfer (I8)
|
98% |
2544
3.35 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
356
12.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
365
13.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1243
44.4 IPS |
|
|
Text Classification (F32)
|
100% |
354
509.1 IPS |
|
|
Text Classification (F16)
|
100% |
344
494.4 IPS |
|
|
Text Classification (I8)
|
92% |
316
454.6 IPS |
|
|
Machine Translation (F32)
|
100% |
626
11.5 IPS |
|
|
Machine Translation (F16)
|
100% |
616
11.3 IPS |
|
|
Machine Translation (I8)
|
64% |
296
5.45 IPS |
