Samsung Galaxy A70
Geekbench ML Score
217
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 26 2022 03:05 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Samsung Galaxy A70 |
| Model ID | samsung SM-A705FN |
| Motherboard | sm6150 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.71 GHz |
| Cluster 1 | 6 Cores @ 1.71 GHz |
| Cluster 2 | 2 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 5.40 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
141
15.1 IPS |
|
|
Image Classification (F16)
|
100% |
160
17.1 IPS |
|
|
Image Classification (I8)
|
81% |
208
22.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
331
2.04 IPS |
|
|
Image Segmentation (F16)
|
100% |
327
2.02 IPS |
|
|
Image Segmentation (I8)
|
89% |
536
3.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
128
0.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
126
0.51 IPS |
|
|
Pose Estimation (I8)
|
80% |
129
0.52 IPS |
|
|
Object Detection (F32)
|
100% |
182
6.37 IPS |
|
|
Object Detection (F16)
|
100% |
169
5.95 IPS |
|
|
Object Detection (I8)
|
52% |
229
8.03 IPS |
|
|
Face Detection (F32)
|
100% |
297
3.41 IPS |
|
|
Face Detection (F16)
|
100% |
298
3.42 IPS |
|
|
Face Detection (I8)
|
75% |
416
4.78 IPS |
|
|
Text Classification (F32)
|
100% |
219
86.7 IPS |
|
|
Text Classification (F16)
|
100% |
215
85.2 IPS |
|
|
Machine Translation (F32)
|
100% |
199
30.6 IPS |
|
|
Machine Translation (F16)
|
100% |
194
29.8 IPS |
