Samsung Galaxy S20+ 5G
Geekbench ML Score
448
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 21 2022 09:26 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy S20+ 5G |
| Model ID | samsung SM-G986U1 |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 10.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
452
48.4 IPS |
|
|
Image Classification (F16)
|
100% |
455
48.7 IPS |
|
|
Image Classification (I8)
|
81% |
216
23.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
641
3.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
659
4.07 IPS |
|
|
Image Segmentation (I8)
|
89% |
948
5.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
271
1.10 IPS |
|
|
Pose Estimation (F16)
|
100% |
254
1.03 IPS |
|
|
Pose Estimation (I8)
|
80% |
244
0.99 IPS |
|
|
Object Detection (F32)
|
100% |
476
16.7 IPS |
|
|
Object Detection (F16)
|
100% |
472
16.6 IPS |
|
|
Object Detection (I8)
|
52% |
329
11.5 IPS |
|
|
Face Detection (F32)
|
100% |
687
7.89 IPS |
|
|
Face Detection (F16)
|
100% |
682
7.83 IPS |
|
|
Face Detection (I8)
|
75% |
605
6.96 IPS |
|
|
Text Classification (F32)
|
100% |
354
140.1 IPS |
|
|
Text Classification (F16)
|
100% |
350
138.3 IPS |
|
|
Machine Translation (F32)
|
100% |
556
85.7 IPS |
|
|
Machine Translation (F16)
|
100% |
554
85.3 IPS |
