Samsung Galaxy S20 FE 5G
Geekbench ML Score
581
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 08 2024 10:49 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20 FE 5G |
| Model ID | samsung SM-G780G |
| 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 | 5.50 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
265
49.6 IPS |
|
|
Image Classification (F16)
|
100% |
271
50.7 IPS |
|
|
Image Classification (I8)
|
97% |
606
113.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
384
6.42 IPS |
|
|
Image Segmentation (F16)
|
100% |
385
6.43 IPS |
|
|
Image Segmentation (I8)
|
98% |
488
8.16 IPS |
|
|
Pose Estimation (F32)
|
100% |
584
0.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
588
0.71 IPS |
|
|
Pose Estimation (I8)
|
100% |
2738
3.32 IPS |
|
|
Object Detection (F32)
|
100% |
317
23.7 IPS |
|
|
Object Detection (F16)
|
100% |
326
24.3 IPS |
|
|
Object Detection (I8)
|
61% |
827
61.8 IPS |
|
|
Face Detection (F32)
|
100% |
637
7.58 IPS |
|
|
Face Detection (F16)
|
100% |
619
7.36 IPS |
|
|
Face Detection (I8)
|
86% |
1517
18.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
579
4.49 IPS |
|
|
Depth Estimation (F16)
|
100% |
573
4.44 IPS |
|
|
Depth Estimation (I8)
|
95% |
1357
10.5 IPS |
|
|
Style Transfer (F32)
|
100% |
937
1.23 IPS |
|
|
Style Transfer (F16)
|
100% |
958
1.26 IPS |
|
|
Style Transfer (I8)
|
98% |
2931
3.86 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
337
12.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
337
12.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1203
43.0 IPS |
|
|
Text Classification (F32)
|
100% |
305
438.0 IPS |
|
|
Text Classification (F16)
|
100% |
303
435.0 IPS |
|
|
Text Classification (I8)
|
92% |
267
383.8 IPS |
|
|
Machine Translation (F32)
|
100% |
635
11.7 IPS |
|
|
Machine Translation (F16)
|
100% |
664
12.2 IPS |
|
|
Machine Translation (I8)
|
64% |
337
6.20 IPS |
