Samsung Galaxy S20 FE 5G
Geekbench ML Score
522
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 06 2024 09:49 PM |
| Views | 1 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
264
49.5 IPS |
|
|
Image Classification (F16)
|
100% |
394
73.7 IPS |
|
|
Image Classification (I8)
|
97% |
407
76.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
346
5.77 IPS |
|
|
Image Segmentation (F16)
|
100% |
653
10.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
690
11.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
474
0.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
957
1.16 IPS |
|
|
Pose Estimation (I8)
|
100% |
958
1.16 IPS |
|
|
Object Detection (F32)
|
100% |
205
15.3 IPS |
|
|
Object Detection (F16)
|
100% |
321
24.0 IPS |
|
|
Object Detection (I8)
|
62% |
374
27.9 IPS |
|
|
Face Detection (F32)
|
100% |
653
7.76 IPS |
|
|
Face Detection (F16)
|
97% |
1140
13.6 IPS |
|
|
Face Detection (I8)
|
87% |
1205
14.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
587
4.55 IPS |
|
|
Depth Estimation (F16)
|
100% |
1156
8.96 IPS |
|
|
Depth Estimation (I8)
|
95% |
1143
8.86 IPS |
|
|
Style Transfer (F32)
|
100% |
1080
1.42 IPS |
|
|
Style Transfer (F16)
|
100% |
2693
3.54 IPS |
|
|
Style Transfer (I8)
|
98% |
2700
3.55 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
272
9.73 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
465
16.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
476
17.0 IPS |
|
|
Text Classification (F32)
|
100% |
151
217.5 IPS |
|
|
Text Classification (F16)
|
100% |
157
226.0 IPS |
|
|
Text Classification (I8)
|
92% |
264
378.7 IPS |
|
|
Machine Translation (F32)
|
100% |
269
4.96 IPS |
|
|
Machine Translation (F16)
|
100% |
271
4.99 IPS |
|
|
Machine Translation (I8)
|
64% |
329
6.05 IPS |
