Samsung Galaxy A30
Geekbench ML Score
98
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 03 2023 04:55 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Samsung Galaxy A30 |
| Model ID | samsung SM-A305N |
| Motherboard | exynos7904 |
| 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 | 1.59 GHz |
| Cluster 1 | 6 Cores @ 1.59 GHz |
| Cluster 2 | 2 Cores @ 1.77 GHz |
| Memory Information | |
|---|---|
| Size | 2.68 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
50
5.38 IPS |
|
|
Image Classification (F16)
|
100% |
51
5.41 IPS |
|
|
Image Classification (I8)
|
81% |
97
10.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
126
0.78 IPS |
|
|
Image Segmentation (F16)
|
100% |
127
0.79 IPS |
|
|
Image Segmentation (I8)
|
89% |
333
2.06 IPS |
|
|
Pose Estimation (F32)
|
100% |
66
0.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
65
0.26 IPS |
|
|
Pose Estimation (I8)
|
80% |
99
0.40 IPS |
|
|
Object Detection (F32)
|
100% |
70
2.47 IPS |
|
|
Object Detection (F16)
|
100% |
70
2.45 IPS |
|
|
Object Detection (I8)
|
52% |
166
5.84 IPS |
|
|
Face Detection (F32)
|
100% |
106
1.22 IPS |
|
|
Face Detection (F16)
|
100% |
103
1.18 IPS |
|
|
Face Detection (I8)
|
75% |
229
2.64 IPS |
|
|
Text Classification (F32)
|
100% |
91
36.0 IPS |
|
|
Text Classification (F16)
|
100% |
90
35.7 IPS |
|
|
Machine Translation (F32)
|
100% |
94
14.4 IPS |
|
|
Machine Translation (F16)
|
100% |
90
13.9 IPS |
