Samsung Galaxy A7
Geekbench ML Score
137
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 15 2022 01:38 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | Samsung Galaxy A7 |
| Model ID | samsung SM-A750FN |
| Motherboard | exynos7885 |
| 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 @ 2.18 GHz |
| Memory Information | |
|---|---|
| Size | 3.61 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
68
7.34 IPS |
|
|
Image Classification (F16)
|
100% |
65
6.98 IPS |
|
|
Image Classification (I8)
|
81% |
168
18.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
186
1.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
183
1.13 IPS |
|
|
Image Segmentation (I8)
|
89% |
456
2.82 IPS |
|
|
Pose Estimation (F32)
|
100% |
75
0.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
72
0.29 IPS |
|
|
Pose Estimation (I8)
|
80% |
114
0.46 IPS |
|
|
Object Detection (F32)
|
100% |
111
3.89 IPS |
|
|
Object Detection (F16)
|
100% |
109
3.81 IPS |
|
|
Object Detection (I8)
|
52% |
265
9.31 IPS |
|
|
Face Detection (F32)
|
100% |
171
1.96 IPS |
|
|
Face Detection (F16)
|
100% |
167
1.91 IPS |
|
|
Face Detection (I8)
|
75% |
326
3.74 IPS |
|
|
Text Classification (F32)
|
100% |
151
59.7 IPS |
|
|
Text Classification (F16)
|
100% |
151
59.5 IPS |
|
|
Machine Translation (F32)
|
100% |
97
14.9 IPS |
|
|
Machine Translation (F16)
|
100% |
95
14.6 IPS |
