Samsung Galaxy A20
Geekbench ML Score
84
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 31 2023 09:13 PM |
| Views | 19 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
48
5.13 IPS |
|
|
Image Classification (F16)
|
100% |
48
5.18 IPS |
|
|
Image Classification (I8)
|
81% |
84
8.97 IPS |
|
|
Image Segmentation (F32)
|
100% |
111
0.69 IPS |
|
|
Image Segmentation (F16)
|
100% |
111
0.69 IPS |
|
|
Image Segmentation (I8)
|
89% |
294
1.82 IPS |
|
|
Pose Estimation (F32)
|
100% |
51
0.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
51
0.21 IPS |
|
|
Pose Estimation (I8)
|
80% |
83
0.34 IPS |
|
|
Object Detection (F32)
|
100% |
66
2.32 IPS |
|
|
Object Detection (F16)
|
100% |
66
2.33 IPS |
|
|
Object Detection (I8)
|
52% |
142
4.97 IPS |
|
|
Face Detection (F32)
|
100% |
98
1.12 IPS |
|
|
Face Detection (F16)
|
100% |
100
1.14 IPS |
|
|
Face Detection (I8)
|
75% |
201
2.31 IPS |
|
|
Text Classification (F32)
|
100% |
70
27.9 IPS |
|
|
Text Classification (F16)
|
100% |
70
27.6 IPS |
|
|
Machine Translation (F32)
|
100% |
71
11.0 IPS |
|
|
Machine Translation (F16)
|
100% |
69
10.7 IPS |
