samsung SM-A528B
Geekbench ML Score
335
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Mansur892 |
| Upload Date | December 08 2022 08:29 AM |
| Views | 1 |
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 | 7.19 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
305
32.7 IPS |
|
|
Image Classification (F16)
|
100% |
316
33.8 IPS |
|
|
Image Classification (I8)
|
81% |
219
23.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
507
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
503
3.11 IPS |
|
|
Image Segmentation (I8)
|
89% |
414
2.56 IPS |
|
|
Pose Estimation (F32)
|
100% |
249
1.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
248
1.00 IPS |
|
|
Pose Estimation (I8)
|
80% |
66
0.27 IPS |
|
|
Object Detection (F32)
|
100% |
326
11.4 IPS |
|
|
Object Detection (F16)
|
100% |
321
11.3 IPS |
|
|
Object Detection (I8)
|
52% |
269
9.43 IPS |
|
|
Face Detection (F32)
|
100% |
439
5.04 IPS |
|
|
Face Detection (F16)
|
100% |
441
5.07 IPS |
|
|
Face Detection (I8)
|
75% |
326
3.75 IPS |
|
|
Text Classification (F32)
|
100% |
532
210.5 IPS |
|
|
Text Classification (F16)
|
100% |
531
210.0 IPS |
|
|
Machine Translation (F32)
|
100% |
460
71.0 IPS |
|
|
Machine Translation (F16)
|
100% |
468
72.1 IPS |
