Samsung Galaxy A52S 5G
Geekbench ML Score
310
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 02 2024 09:27 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 | 5.25 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
166
31.0 IPS |
|
|
Image Classification (F16)
|
100% |
214
40.1 IPS |
|
|
Image Classification (I8)
|
97% |
209
39.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
277
4.63 IPS |
|
|
Image Segmentation (F16)
|
100% |
366
6.10 IPS |
|
|
Image Segmentation (I8)
|
98% |
377
6.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
255
0.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
180
0.22 IPS |
|
|
Pose Estimation (I8)
|
100% |
179
0.22 IPS |
|
|
Object Detection (F32)
|
100% |
135
10.1 IPS |
|
|
Object Detection (F16)
|
100% |
159
11.8 IPS |
|
|
Object Detection (I8)
|
62% |
154
11.5 IPS |
|
|
Face Detection (F32)
|
100% |
563
6.70 IPS |
|
|
Face Detection (F16)
|
97% |
810
9.63 IPS |
|
|
Face Detection (I8)
|
87% |
781
9.29 IPS |
|
|
Depth Estimation (F32)
|
100% |
406
3.15 IPS |
|
|
Depth Estimation (F16)
|
100% |
610
4.73 IPS |
|
|
Depth Estimation (I8)
|
95% |
609
4.72 IPS |
|
|
Style Transfer (F32)
|
100% |
781
1.03 IPS |
|
|
Style Transfer (F16)
|
100% |
1332
1.75 IPS |
|
|
Style Transfer (I8)
|
98% |
1328
1.75 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
181
6.45 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
320
11.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
311
11.1 IPS |
|
|
Text Classification (F32)
|
100% |
125
179.9 IPS |
|
|
Text Classification (F16)
|
100% |
125
179.9 IPS |
|
|
Text Classification (I8)
|
92% |
233
334.4 IPS |
|
|
Machine Translation (F32)
|
100% |
231
4.24 IPS |
|
|
Machine Translation (F16)
|
100% |
230
4.22 IPS |
|
|
Machine Translation (I8)
|
64% |
293
5.39 IPS |
