Samsung Galaxy A20
Geekbench ML Score
81
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 31 2023 02:38 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | Samsung Galaxy A20 |
| Model ID | samsung SM-A205U |
| Motherboard | exynos7904 |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3337 revision 2 |
| Base Frequency | 1.59 GHz |
| Cluster 1 | 6 Cores @ 1.59 GHz |
| Cluster 2 | 2 Cores @ 1.77 GHz |
| Memory Information | |
|---|---|
| Size | 2.65 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
41
4.38 IPS |
|
|
Image Classification (F16)
|
100% |
58
6.25 IPS |
|
|
Image Classification (I8)
|
81% |
98
10.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
117
0.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
119
0.74 IPS |
|
|
Image Segmentation (I8)
|
89% |
173
1.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
47
0.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
45
0.18 IPS |
|
|
Pose Estimation (I8)
|
80% |
31
0.13 IPS |
|
|
Object Detection (F32)
|
100% |
58
2.05 IPS |
|
|
Object Detection (F16)
|
100% |
57
2.01 IPS |
|
|
Object Detection (I8)
|
52% |
108
3.79 IPS |
|
|
Face Detection (F32)
|
100% |
89
1.02 IPS |
|
|
Face Detection (F16)
|
100% |
90
1.04 IPS |
|
|
Face Detection (I8)
|
75% |
131
1.50 IPS |
|
|
Text Classification (F32)
|
100% |
134
53.0 IPS |
|
|
Text Classification (F16)
|
100% |
134
53.0 IPS |
|
|
Machine Translation (F32)
|
100% |
88
13.6 IPS |
|
|
Machine Translation (F16)
|
100% |
94
14.5 IPS |
