samsung SM-A516B
Geekbench ML Score
86
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 13 2023 10:45 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | samsung SM-A516B |
| Model ID | samsung SM-A516B |
| Motherboard | exynos7870 |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 1.59 GHz |
| Cluster 1 | 8 Cores @ 1.59 GHz |
| Memory Information | |
|---|---|
| Size | 2.75 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
49
5.22 IPS |
|
|
Image Classification (F16)
|
100% |
54
5.77 IPS |
|
|
Image Classification (I8)
|
81% |
253
27.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
96
0.59 IPS |
|
|
Image Segmentation (F16)
|
100% |
95
0.59 IPS |
|
|
Image Segmentation (I8)
|
89% |
419
2.59 IPS |
|
|
Pose Estimation (F32)
|
100% |
56
0.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
55
0.22 IPS |
|
|
Pose Estimation (I8)
|
80% |
112
0.45 IPS |
|
|
Object Detection (F32)
|
100% |
75
2.65 IPS |
|
|
Object Detection (F16)
|
100% |
76
2.68 IPS |
|
|
Object Detection (I8)
|
52% |
196
6.89 IPS |
|
|
Face Detection (F32)
|
100% |
116
1.33 IPS |
|
|
Face Detection (F16)
|
100% |
114
1.31 IPS |
|
|
Face Detection (I8)
|
75% |
368
4.23 IPS |
|
|
Text Classification (F32)
|
100% |
61
24.1 IPS |
|
|
Text Classification (F16)
|
100% |
61
24.1 IPS |
|
|
Machine Translation (F32)
|
100% |
19
2.85 IPS |
|
|
Machine Translation (F16)
|
100% |
18
2.85 IPS |
