samsung SM-A236B
Geekbench ML Score
249
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 30 2022 02:52 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-A236B |
| Model ID | samsung SM-A236B |
| Motherboard | holi |
| 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 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 3.38 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
178
19.1 IPS |
|
|
Image Classification (F16)
|
100% |
170
18.2 IPS |
|
|
Image Classification (I8)
|
81% |
201
21.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
377
2.33 IPS |
|
|
Image Segmentation (F16)
|
100% |
381
2.36 IPS |
|
|
Image Segmentation (I8)
|
89% |
379
2.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
129
0.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
129
0.52 IPS |
|
|
Pose Estimation (I8)
|
80% |
61
0.24 IPS |
|
|
Object Detection (F32)
|
100% |
230
8.05 IPS |
|
|
Object Detection (F16)
|
100% |
238
8.35 IPS |
|
|
Object Detection (I8)
|
52% |
247
8.66 IPS |
|
|
Face Detection (F32)
|
100% |
317
3.65 IPS |
|
|
Face Detection (F16)
|
100% |
320
3.68 IPS |
|
|
Face Detection (I8)
|
75% |
299
3.44 IPS |
|
|
Text Classification (F32)
|
100% |
477
188.7 IPS |
|
|
Text Classification (F16)
|
100% |
478
189.0 IPS |
|
|
Machine Translation (F32)
|
100% |
334
51.5 IPS |
|
|
Machine Translation (F16)
|
100% |
339
52.3 IPS |
