samsung SM-A505F
Geekbench ML Score
131
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 07 2021 12:31 PM |
| Views | 25 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | samsung SM-A505F |
| Model ID | samsung SM-A505F |
| Motherboard | exynos9610 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3337 revision 2 |
| Base Frequency | 1.74 GHz |
| Cluster 1 | 4 Cores @ 1.74 GHz |
| Cluster 2 | 4 Cores @ 2.31 GHz |
| Memory Information | |
|---|---|
| Size | 3.52 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
87
9.31 IPS |
|
|
Image Classification (F16)
|
100% |
72
7.70 IPS |
|
|
Image Classification (I8)
|
81% |
109
11.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
190
1.18 IPS |
|
|
Image Segmentation (F16)
|
100% |
186
1.15 IPS |
|
|
Image Segmentation (I8)
|
89% |
422
2.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
71
0.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
69
0.28 IPS |
|
|
Pose Estimation (I8)
|
80% |
125
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
121
4.25 IPS |
|
|
Object Detection (F16)
|
100% |
112
3.92 IPS |
|
|
Object Detection (I8)
|
52% |
178
6.26 IPS |
|
|
Face Detection (F32)
|
100% |
165
1.89 IPS |
|
|
Face Detection (F16)
|
100% |
157
1.80 IPS |
|
|
Face Detection (I8)
|
75% |
263
3.03 IPS |
|
|
Text Classification (F32)
|
100% |
121
47.8 IPS |
|
|
Text Classification (F16)
|
100% |
123
48.6 IPS |
|
|
Machine Translation (F32)
|
100% |
106
16.4 IPS |
|
|
Machine Translation (F16)
|
100% |
106
16.4 IPS |
