Samsung Galaxy A50s
Geekbench ML Score
133
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 19 2022 09:35 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Samsung Galaxy A50s |
| Model ID | samsung SM-A507FN |
| Motherboard | exynos9611 |
| 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 | 5.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
73
7.79 IPS |
|
|
Image Classification (F16)
|
100% |
72
7.70 IPS |
|
|
Image Classification (I8)
|
81% |
113
12.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
203
1.25 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
1.23 IPS |
|
|
Image Segmentation (I8)
|
89% |
437
2.70 IPS |
|
|
Pose Estimation (F32)
|
100% |
75
0.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
76
0.31 IPS |
|
|
Pose Estimation (I8)
|
80% |
132
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
114
4.00 IPS |
|
|
Object Detection (F16)
|
100% |
125
4.38 IPS |
|
|
Object Detection (I8)
|
52% |
176
6.18 IPS |
|
|
Face Detection (F32)
|
100% |
177
2.03 IPS |
|
|
Face Detection (F16)
|
100% |
162
1.86 IPS |
|
|
Face Detection (I8)
|
75% |
267
3.07 IPS |
|
|
Text Classification (F32)
|
100% |
124
49.1 IPS |
|
|
Text Classification (F16)
|
100% |
124
48.9 IPS |
|
|
Machine Translation (F32)
|
100% |
104
16.1 IPS |
|
|
Machine Translation (F16)
|
100% |
98
15.1 IPS |
