samsung SM-A236E
Geekbench ML Score
638
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Mansur892 |
| Upload Date | December 08 2022 08:23 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-A236E |
| Model ID | samsung SM-A236E |
| 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 | GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
432
46.3 IPS |
|
|
Image Classification (F16)
|
100% |
694
74.4 IPS |
|
|
Image Classification (I8)
|
80% |
654
70.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
964
5.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
1562
9.65 IPS |
|
|
Image Segmentation (I8)
|
89% |
1539
9.50 IPS |
|
|
Pose Estimation (F32)
|
100% |
461
1.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
821
3.32 IPS |
|
|
Pose Estimation (I8)
|
80% |
821
3.32 IPS |
|
|
Object Detection (F32)
|
100% |
286
10.0 IPS |
|
|
Object Detection (F16)
|
99% |
358
12.6 IPS |
|
|
Object Detection (I8)
|
53% |
360
12.6 IPS |
|
|
Face Detection (F32)
|
100% |
829
9.52 IPS |
|
|
Face Detection (F16)
|
97% |
1450
16.7 IPS |
|
|
Face Detection (I8)
|
75% |
1322
15.2 IPS |
|
|
Text Classification (F32)
|
100% |
438
173.1 IPS |
|
|
Text Classification (F16)
|
98% |
501
198.1 IPS |
|
|
Machine Translation (F32)
|
100% |
335
51.7 IPS |
|
|
Machine Translation (F16)
|
100% |
330
50.9 IPS |
