samsung SM-A536W
Geekbench ML Score
374
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2022 09:55 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-A536W |
| Model ID | samsung SM-A536W |
| Motherboard | s5e8825 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.26 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
226
24.2 IPS |
|
|
Image Classification (F16)
|
100% |
225
24.2 IPS |
|
|
Image Classification (I8)
|
81% |
217
23.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
435
2.68 IPS |
|
|
Image Segmentation (F16)
|
100% |
435
2.69 IPS |
|
|
Image Segmentation (I8)
|
89% |
685
4.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
196
0.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
627
2.54 IPS |
|
|
Pose Estimation (I8)
|
80% |
609
2.46 IPS |
|
|
Object Detection (F32)
|
100% |
345
12.1 IPS |
|
|
Object Detection (F16)
|
99% |
525
18.4 IPS |
|
|
Object Detection (I8)
|
52% |
266
9.32 IPS |
|
|
Face Detection (F32)
|
100% |
370
4.25 IPS |
|
|
Face Detection (F16)
|
100% |
366
4.21 IPS |
|
|
Face Detection (I8)
|
75% |
321
3.69 IPS |
|
|
Text Classification (F32)
|
100% |
517
204.6 IPS |
|
|
Text Classification (F16)
|
100% |
517
204.5 IPS |
|
|
Machine Translation (F32)
|
100% |
361
55.6 IPS |
|
|
Machine Translation (F16)
|
100% |
361
55.7 IPS |
