samsung SM-A528B
Geekbench ML Score
347
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 16 2023 07:58 AM |
| Views | 4 |
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% |
283
30.3 IPS |
|
|
Image Classification (F16)
|
100% |
244
26.1 IPS |
|
|
Image Classification (I8)
|
81% |
170
18.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
516
3.19 IPS |
|
|
Image Segmentation (F16)
|
100% |
518
3.20 IPS |
|
|
Image Segmentation (I8)
|
89% |
855
5.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
235
0.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
208
0.84 IPS |
|
|
Pose Estimation (I8)
|
80% |
201
0.82 IPS |
|
|
Object Detection (F32)
|
100% |
366
12.8 IPS |
|
|
Object Detection (F16)
|
100% |
364
12.8 IPS |
|
|
Object Detection (I8)
|
52% |
250
8.77 IPS |
|
|
Face Detection (F32)
|
100% |
478
5.49 IPS |
|
|
Face Detection (F16)
|
100% |
467
5.36 IPS |
|
|
Face Detection (I8)
|
75% |
463
5.32 IPS |
|
|
Text Classification (F32)
|
100% |
341
134.8 IPS |
|
|
Text Classification (F16)
|
100% |
332
131.2 IPS |
|
|
Machine Translation (F32)
|
100% |
430
66.2 IPS |
|
|
Machine Translation (F16)
|
100% |
425
65.5 IPS |
