Samsung Galaxy A20s
Geekbench ML Score
63
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 22 2025 03:31 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Samsung Galaxy A20s |
| Model ID | samsung SM-A207F |
| Motherboard | msm8953 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 8 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 2.72 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
45
4.87 IPS |
|
|
Image Classification (F16)
|
100% |
54
5.78 IPS |
|
|
Image Classification (I8)
|
81% |
82
8.76 IPS |
|
|
Image Segmentation (F32)
|
100% |
96
0.60 IPS |
|
|
Image Segmentation (F16)
|
100% |
93
0.58 IPS |
|
|
Image Segmentation (I8)
|
89% |
264
1.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
32
0.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
35
0.14 IPS |
|
|
Pose Estimation (I8)
|
80% |
72
0.29 IPS |
|
|
Object Detection (F32)
|
100% |
64
2.24 IPS |
|
|
Object Detection (F16)
|
100% |
74
2.60 IPS |
|
|
Object Detection (I8)
|
52% |
95
3.34 IPS |
|
|
Face Detection (F32)
|
100% |
106
1.21 IPS |
|
|
Face Detection (F16)
|
100% |
108
1.24 IPS |
|
|
Face Detection (I8)
|
75% |
174
2.00 IPS |
|
|
Text Classification (F32)
|
100% |
54
21.2 IPS |
|
|
Text Classification (F16)
|
100% |
56
22.3 IPS |
|
|
Machine Translation (F32)
|
100% |
14
2.15 IPS |
|
|
Machine Translation (F16)
|
100% |
14
2.19 IPS |
