samsung SM-A205S
Geekbench ML Score
92
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 22 2023 09:35 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | samsung SM-A205S |
| Model ID | samsung SM-A205S |
| Motherboard | exynos7884B |
| 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 | 1.35 GHz |
| Cluster 1 | 6 Cores @ 1.35 GHz |
| Cluster 2 | 2 Cores @ 1.56 GHz |
| Memory Information | |
|---|---|
| Size | 2.68 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
46
4.88 IPS |
|
|
Image Classification (F16)
|
100% |
50
5.39 IPS |
|
|
Image Classification (I8)
|
81% |
72
7.72 IPS |
|
|
Image Segmentation (F32)
|
100% |
106
0.66 IPS |
|
|
Image Segmentation (F16)
|
100% |
120
0.74 IPS |
|
|
Image Segmentation (I8)
|
89% |
294
1.82 IPS |
|
|
Pose Estimation (F32)
|
100% |
54
0.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
56
0.23 IPS |
|
|
Pose Estimation (I8)
|
80% |
87
0.35 IPS |
|
|
Object Detection (F32)
|
100% |
76
2.65 IPS |
|
|
Object Detection (F16)
|
100% |
79
2.76 IPS |
|
|
Object Detection (I8)
|
52% |
131
4.59 IPS |
|
|
Face Detection (F32)
|
100% |
113
1.30 IPS |
|
|
Face Detection (F16)
|
100% |
113
1.29 IPS |
|
|
Face Detection (I8)
|
75% |
197
2.26 IPS |
|
|
Text Classification (F32)
|
100% |
90
35.8 IPS |
|
|
Text Classification (F16)
|
100% |
91
35.8 IPS |
|
|
Machine Translation (F32)
|
100% |
89
13.8 IPS |
|
|
Machine Translation (F16)
|
100% |
89
13.7 IPS |
