Samsung Galaxy S20 FE 5G
Geekbench ML Score
492
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 21 2024 03:50 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 | 7.44 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
171
32.0 IPS |
|
|
Image Classification (F16)
|
100% |
213
39.9 IPS |
|
|
Image Classification (I8)
|
97% |
484
90.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
319
5.33 IPS |
|
|
Image Segmentation (F16)
|
100% |
293
4.90 IPS |
|
|
Image Segmentation (I8)
|
98% |
438
7.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
526
0.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
524
0.63 IPS |
|
|
Pose Estimation (I8)
|
100% |
2318
2.81 IPS |
|
|
Object Detection (F32)
|
100% |
239
17.9 IPS |
|
|
Object Detection (F16)
|
100% |
245
18.3 IPS |
|
|
Object Detection (I8)
|
61% |
693
51.8 IPS |
|
|
Face Detection (F32)
|
100% |
528
6.28 IPS |
|
|
Face Detection (F16)
|
100% |
541
6.43 IPS |
|
|
Face Detection (I8)
|
86% |
1141
13.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
506
3.92 IPS |
|
|
Depth Estimation (F16)
|
100% |
514
3.99 IPS |
|
|
Depth Estimation (I8)
|
95% |
1004
7.79 IPS |
|
|
Style Transfer (F32)
|
100% |
894
1.18 IPS |
|
|
Style Transfer (F16)
|
100% |
906
1.19 IPS |
|
|
Style Transfer (I8)
|
98% |
2248
2.96 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
277
9.90 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
280
10.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
926
33.1 IPS |
|
|
Text Classification (F32)
|
100% |
259
372.8 IPS |
|
|
Text Classification (F16)
|
100% |
288
414.2 IPS |
|
|
Text Classification (I8)
|
92% |
325
466.6 IPS |
|
|
Machine Translation (F32)
|
100% |
610
11.2 IPS |
|
|
Machine Translation (F16)
|
100% |
597
11.0 IPS |
|
|
Machine Translation (I8)
|
64% |
327
6.02 IPS |
