Samsung Galaxy A51
Geekbench ML Score
297
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 21 2021 07:45 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Samsung Galaxy A51 |
| Model ID | samsung SM-A515F |
| Motherboard | exynos9611 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3337 revision 2 |
| Base Frequency | 1.74 GHz |
| Cluster 1 | 4 Cores @ 1.74 GHz |
| Cluster 2 | 4 Cores @ 2.31 GHz |
| Memory Information | |
|---|---|
| Size | 5.44 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
302
32.3 IPS |
|
|
Image Classification (F16)
|
100% |
524
56.1 IPS |
|
|
Image Classification (I8)
|
81% |
488
52.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
530
3.27 IPS |
|
|
Image Segmentation (F16)
|
100% |
1273
7.86 IPS |
|
|
Image Segmentation (I8)
|
89% |
1254
7.75 IPS |
|
|
Pose Estimation (F32)
|
100% |
151
0.61 IPS |
|
|
Pose Estimation (F16)
|
0% |
533
2.16 IPS |
|
|
Pose Estimation (I8)
|
0% |
530
2.15 IPS |
|
|
Object Detection (F32)
|
100% |
180
6.32 IPS |
|
|
Object Detection (F16)
|
99% |
300
10.5 IPS |
|
|
Object Detection (I8)
|
54% |
271
9.51 IPS |
|
|
Face Detection (F32)
|
100% |
514
5.91 IPS |
|
|
Face Detection (F16)
|
97% |
1089
12.5 IPS |
|
|
Face Detection (I8)
|
75% |
939
10.8 IPS |
|
|
Text Classification (F32)
|
0
|
||
|
Text Classification (F16)
|
46% |
479
189.4 IPS |
|
|
Machine Translation (F32)
|
100% |
99
15.2 IPS |
|
|
Machine Translation (F16)
|
100% |
98
15.2 IPS |
