samsung SM-A528B
Geekbench ML Score
348
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 28 2023 02:33 PM |
| Views | 22 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-A528B |
| 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 | 5.24 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
363
38.9 IPS |
|
|
Image Classification (F16)
|
100% |
297
31.8 IPS |
|
|
Image Classification (I8)
|
81% |
201
21.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
581
3.59 IPS |
|
|
Image Segmentation (F16)
|
100% |
577
3.56 IPS |
|
|
Image Segmentation (I8)
|
89% |
876
5.41 IPS |
|
|
Pose Estimation (F32)
|
100% |
249
1.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
231
0.94 IPS |
|
|
Pose Estimation (I8)
|
80% |
239
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
281
9.87 IPS |
|
|
Object Detection (F16)
|
100% |
283
9.94 IPS |
|
|
Object Detection (I8)
|
52% |
268
9.40 IPS |
|
|
Face Detection (F32)
|
100% |
450
5.17 IPS |
|
|
Face Detection (F16)
|
100% |
443
5.09 IPS |
|
|
Face Detection (I8)
|
75% |
442
5.07 IPS |
|
|
Text Classification (F32)
|
100% |
296
116.9 IPS |
|
|
Text Classification (F16)
|
100% |
296
117.0 IPS |
|
|
Machine Translation (F32)
|
100% |
369
56.8 IPS |
|
|
Machine Translation (F16)
|
100% |
373
57.5 IPS |
