Samsung Galaxy A50
Geekbench ML Score
129
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2022 01:17 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Samsung Galaxy A50 |
| Model ID | samsung SM-A505FN |
| 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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
69
7.43 IPS |
|
|
Image Classification (F16)
|
100% |
64
6.82 IPS |
|
|
Image Classification (I8)
|
81% |
107
11.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
192
1.19 IPS |
|
|
Image Segmentation (F16)
|
100% |
195
1.20 IPS |
|
|
Image Segmentation (I8)
|
89% |
421
2.60 IPS |
|
|
Pose Estimation (F32)
|
100% |
72
0.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
69
0.28 IPS |
|
|
Pose Estimation (I8)
|
80% |
123
0.50 IPS |
|
|
Object Detection (F32)
|
100% |
116
4.08 IPS |
|
|
Object Detection (F16)
|
100% |
113
3.96 IPS |
|
|
Object Detection (I8)
|
52% |
177
6.22 IPS |
|
|
Face Detection (F32)
|
100% |
171
1.96 IPS |
|
|
Face Detection (F16)
|
100% |
167
1.92 IPS |
|
|
Face Detection (I8)
|
75% |
260
2.99 IPS |
|
|
Text Classification (F32)
|
100% |
123
48.7 IPS |
|
|
Text Classification (F16)
|
100% |
124
49.2 IPS |
|
|
Machine Translation (F32)
|
100% |
106
16.3 IPS |
|
|
Machine Translation (F16)
|
100% |
105
16.1 IPS |
