Samsung Galaxy A40
Geekbench ML Score
102
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 15 2022 01:39 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Samsung Galaxy A40 |
| Model ID | samsung SM-A405FN |
| 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 | 3.66 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
53
5.69 IPS |
|
|
Image Classification (F16)
|
100% |
57
6.11 IPS |
|
|
Image Classification (I8)
|
81% |
94
10.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
123
0.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
130
0.80 IPS |
|
|
Image Segmentation (I8)
|
89% |
353
2.18 IPS |
|
|
Pose Estimation (F32)
|
100% |
64
0.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
64
0.26 IPS |
|
|
Pose Estimation (I8)
|
80% |
103
0.42 IPS |
|
|
Object Detection (F32)
|
100% |
79
2.79 IPS |
|
|
Object Detection (F16)
|
100% |
79
2.76 IPS |
|
|
Object Detection (I8)
|
52% |
167
5.88 IPS |
|
|
Face Detection (F32)
|
100% |
114
1.31 IPS |
|
|
Face Detection (F16)
|
100% |
115
1.32 IPS |
|
|
Face Detection (I8)
|
75% |
229
2.63 IPS |
|
|
Text Classification (F32)
|
100% |
93
36.7 IPS |
|
|
Text Classification (F16)
|
100% |
93
36.8 IPS |
|
|
Machine Translation (F32)
|
100% |
89
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
94
14.4 IPS |
