Samsung Galaxy A50s
Geekbench ML Score
299
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 19 2022 09:39 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Samsung Galaxy A50s |
| Model ID | samsung SM-A507FN |
| 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 | 5.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
295
31.6 IPS |
|
|
Image Classification (F16)
|
100% |
525
56.2 IPS |
|
|
Image Classification (I8)
|
81% |
488
52.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
529
3.27 IPS |
|
|
Image Segmentation (F16)
|
100% |
1246
7.69 IPS |
|
|
Image Segmentation (I8)
|
89% |
1198
7.40 IPS |
|
|
Pose Estimation (F32)
|
100% |
154
0.62 IPS |
|
|
Pose Estimation (F16)
|
0% |
534
2.16 IPS |
|
|
Pose Estimation (I8)
|
0% |
532
2.15 IPS |
|
|
Object Detection (F32)
|
100% |
196
6.86 IPS |
|
|
Object Detection (F16)
|
99% |
259
9.11 IPS |
|
|
Object Detection (I8)
|
54% |
257
9.04 IPS |
|
|
Face Detection (F32)
|
100% |
521
5.99 IPS |
|
|
Face Detection (F16)
|
97% |
1105
12.7 IPS |
|
|
Face Detection (I8)
|
75% |
955
11.0 IPS |
|
|
Text Classification (F32)
|
0
|
||
|
Text Classification (F16)
|
46% |
570
225.6 IPS |
|
|
Machine Translation (F32)
|
100% |
105
16.2 IPS |
|
|
Machine Translation (F16)
|
100% |
102
15.7 IPS |
