Samsung Galaxy S20 FE 5G
Geekbench ML Score
833
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 19 2023 01:52 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20 FE 5G |
| Model ID | samsung SM-G781U |
| 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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
619
66.3 IPS |
|
|
Image Classification (F16)
|
100% |
1038
111.2 IPS |
|
|
Image Classification (I8)
|
80% |
2163
231.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
930
5.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
1118
6.91 IPS |
|
|
Image Segmentation (I8)
|
89% |
3513
21.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
408
1.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
1583
6.40 IPS |
|
|
Pose Estimation (I8)
|
80% |
5698
23.1 IPS |
|
|
Object Detection (F32)
|
100% |
669
23.5 IPS |
|
|
Object Detection (F16)
|
100% |
977
34.3 IPS |
|
|
Object Detection (I8)
|
52% |
1339
47.0 IPS |
|
|
Face Detection (F32)
|
100% |
1293
14.9 IPS |
|
|
Face Detection (F16)
|
97% |
1695
19.5 IPS |
|
|
Face Detection (I8)
|
75% |
5176
59.5 IPS |
|
|
Text Classification (F32)
|
54% |
24
9.46 IPS |
|
|
Text Classification (F16)
|
54% |
23
9.03 IPS |
|
|
Machine Translation (F32)
|
100% |
548
84.4 IPS |
|
|
Machine Translation (F16)
|
100% |
554
85.4 IPS |
