Samsung Galaxy S20 FE 5G
Geekbench ML Score
441
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 12 2021 06:29 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Samsung Galaxy S20 FE 5G |
| Model ID | samsung SM-G781B |
| 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 | 5.43 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
445
47.6 IPS |
|
|
Image Classification (F16)
|
100% |
417
44.7 IPS |
|
|
Image Classification (I8)
|
81% |
217
23.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
625
3.86 IPS |
|
|
Image Segmentation (F16)
|
100% |
631
3.90 IPS |
|
|
Image Segmentation (I8)
|
89% |
948
5.86 IPS |
|
|
Pose Estimation (F32)
|
100% |
280
1.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
277
1.12 IPS |
|
|
Pose Estimation (I8)
|
80% |
240
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
455
16.0 IPS |
|
|
Object Detection (F16)
|
100% |
394
13.8 IPS |
|
|
Object Detection (I8)
|
52% |
336
11.8 IPS |
|
|
Face Detection (F32)
|
100% |
633
7.27 IPS |
|
|
Face Detection (F16)
|
100% |
687
7.90 IPS |
|
|
Face Detection (I8)
|
75% |
593
6.81 IPS |
|
|
Text Classification (F32)
|
100% |
359
142.1 IPS |
|
|
Text Classification (F16)
|
100% |
379
150.0 IPS |
|
|
Machine Translation (F32)
|
100% |
556
85.7 IPS |
|
|
Machine Translation (F16)
|
100% |
548
84.4 IPS |
