Samsung Galaxy A21s
Geekbench ML Score
83
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 31 2023 01:29 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Samsung Galaxy A21s |
| Model ID | samsung SM-A217F |
| Motherboard | exynos850 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3333 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 2.61 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
53
5.65 IPS |
|
|
Image Classification (F16)
|
100% |
53
5.67 IPS |
|
|
Image Classification (I8)
|
81% |
218
23.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
105
0.65 IPS |
|
|
Image Segmentation (F16)
|
100% |
105
0.65 IPS |
|
|
Image Segmentation (I8)
|
89% |
395
2.44 IPS |
|
|
Pose Estimation (F32)
|
100% |
61
0.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
61
0.25 IPS |
|
|
Pose Estimation (I8)
|
80% |
95
0.38 IPS |
|
|
Object Detection (F32)
|
100% |
81
2.84 IPS |
|
|
Object Detection (F16)
|
100% |
80
2.82 IPS |
|
|
Object Detection (I8)
|
52% |
181
6.35 IPS |
|
|
Face Detection (F32)
|
100% |
119
1.37 IPS |
|
|
Face Detection (F16)
|
100% |
119
1.37 IPS |
|
|
Face Detection (I8)
|
75% |
344
3.95 IPS |
|
|
Text Classification (F32)
|
100% |
57
22.4 IPS |
|
|
Text Classification (F16)
|
100% |
57
22.4 IPS |
|
|
Machine Translation (F32)
|
100% |
14
2.21 IPS |
|
|
Machine Translation (F16)
|
100% |
14
2.22 IPS |
