samsung SM-A536N
Geekbench ML Score
275
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 13 2023 07:47 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-A536N |
| Model ID | samsung SM-A536N |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
193
20.7 IPS |
|
|
Image Classification (F16)
|
100% |
192
20.5 IPS |
|
|
Image Classification (I8)
|
81% |
176
18.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
428
2.65 IPS |
|
|
Image Segmentation (F16)
|
100% |
430
2.66 IPS |
|
|
Image Segmentation (I8)
|
89% |
532
3.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
142
0.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
142
0.57 IPS |
|
|
Pose Estimation (I8)
|
80% |
127
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
277
9.74 IPS |
|
|
Object Detection (F16)
|
100% |
278
9.74 IPS |
|
|
Object Detection (I8)
|
52% |
261
9.16 IPS |
|
|
Face Detection (F32)
|
100% |
380
4.37 IPS |
|
|
Face Detection (F16)
|
100% |
367
4.22 IPS |
|
|
Face Detection (I8)
|
75% |
367
4.21 IPS |
|
|
Text Classification (F32)
|
100% |
335
132.4 IPS |
|
|
Text Classification (F16)
|
100% |
335
132.7 IPS |
|
|
Machine Translation (F32)
|
100% |
345
53.2 IPS |
|
|
Machine Translation (F16)
|
100% |
342
52.7 IPS |
