Samsung Galaxy A51 5G
Geekbench ML Score
677
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 03 2021 11:06 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Samsung Galaxy A51 5G |
| Model ID | samsung SM-A516N |
| Motherboard | exynos980 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.79 GHz |
| Cluster 1 | 6 Cores @ 1.79 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.20 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
383
41.1 IPS |
|
|
Image Classification (F16)
|
100% |
718
77.0 IPS |
|
|
Image Classification (I8)
|
80% |
654
70.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
902
5.57 IPS |
|
|
Image Segmentation (F16)
|
100% |
1867
11.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
1824
11.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
201
0.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
955
3.86 IPS |
|
|
Pose Estimation (I8)
|
80% |
945
3.82 IPS |
|
|
Object Detection (F32)
|
100% |
332
11.6 IPS |
|
|
Object Detection (F16)
|
100% |
491
17.2 IPS |
|
|
Object Detection (I8)
|
54% |
483
16.9 IPS |
|
|
Face Detection (F32)
|
100% |
808
9.28 IPS |
|
|
Face Detection (F16)
|
97% |
1791
20.6 IPS |
|
|
Face Detection (I8)
|
75% |
1545
17.8 IPS |
|
|
Text Classification (F32)
|
100% |
426
168.3 IPS |
|
|
Text Classification (F16)
|
98% |
592
234.0 IPS |
|
|
Machine Translation (F32)
|
100% |
376
57.9 IPS |
|
|
Machine Translation (F16)
|
100% |
368
56.7 IPS |
