Samsung Galaxy A52S 5G
Geekbench ML Score
498
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 08 2024 04:06 PM |
| 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% |
235
44.0 IPS |
|
|
Image Classification (F16)
|
100% |
242
45.4 IPS |
|
|
Image Classification (I8)
|
97% |
549
102.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
324
5.41 IPS |
|
|
Image Segmentation (F16)
|
100% |
325
5.43 IPS |
|
|
Image Segmentation (I8)
|
98% |
413
6.89 IPS |
|
|
Pose Estimation (F32)
|
100% |
492
0.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
497
0.60 IPS |
|
|
Pose Estimation (I8)
|
100% |
2405
2.91 IPS |
|
|
Object Detection (F32)
|
100% |
248
18.5 IPS |
|
|
Object Detection (F16)
|
100% |
250
18.7 IPS |
|
|
Object Detection (I8)
|
61% |
695
51.9 IPS |
|
|
Face Detection (F32)
|
100% |
513
6.10 IPS |
|
|
Face Detection (F16)
|
100% |
519
6.17 IPS |
|
|
Face Detection (I8)
|
86% |
1307
15.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
480
3.73 IPS |
|
|
Depth Estimation (F16)
|
100% |
503
3.90 IPS |
|
|
Depth Estimation (I8)
|
95% |
1361
10.6 IPS |
|
|
Style Transfer (F32)
|
100% |
861
1.13 IPS |
|
|
Style Transfer (F16)
|
100% |
865
1.14 IPS |
|
|
Style Transfer (I8)
|
98% |
1954
2.57 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
341
12.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
325
11.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
963
34.4 IPS |
|
|
Text Classification (F32)
|
100% |
299
430.0 IPS |
|
|
Text Classification (F16)
|
100% |
302
433.8 IPS |
|
|
Text Classification (I8)
|
92% |
272
390.9 IPS |
|
|
Machine Translation (F32)
|
100% |
550
10.1 IPS |
|
|
Machine Translation (F16)
|
100% |
491
9.04 IPS |
|
|
Machine Translation (I8)
|
64% |
209
3.86 IPS |
