samsung SM-A047F
Geekbench ML Score
67
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 16 2023 10:56 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-A047F |
| Model ID | samsung SM-A047F |
| Motherboard | exynos850 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARM Samsung |
| 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 | 2.64 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
50
5.39 IPS |
|
|
Image Classification (F16)
|
100% |
50
5.40 IPS |
|
|
Image Classification (I8)
|
81% |
109
11.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
95
0.59 IPS |
|
|
Image Segmentation (F16)
|
100% |
95
0.59 IPS |
|
|
Image Segmentation (I8)
|
89% |
263
1.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
47
0.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
47
0.19 IPS |
|
|
Pose Estimation (I8)
|
80% |
66
0.27 IPS |
|
|
Object Detection (F32)
|
100% |
71
2.50 IPS |
|
|
Object Detection (F16)
|
100% |
71
2.50 IPS |
|
|
Object Detection (I8)
|
52% |
120
4.20 IPS |
|
|
Face Detection (F32)
|
100% |
104
1.19 IPS |
|
|
Face Detection (F16)
|
100% |
103
1.19 IPS |
|
|
Face Detection (I8)
|
75% |
196
2.25 IPS |
|
|
Text Classification (F32)
|
100% |
48
19.1 IPS |
|
|
Text Classification (F16)
|
100% |
48
19.1 IPS |
|
|
Machine Translation (F32)
|
100% |
14
2.09 IPS |
|
|
Machine Translation (F16)
|
100% |
14
2.10 IPS |
