Samsung Galaxy S20 5G
Geekbench ML Score
342
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 10 2023 07:58 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20 5G |
| Model ID | samsung SM-G981U |
| 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 | 10.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
310
33.3 IPS |
|
|
Image Classification (F16)
|
100% |
311
33.3 IPS |
|
|
Image Classification (I8)
|
81% |
200
21.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
486
3.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
484
2.99 IPS |
|
|
Image Segmentation (I8)
|
89% |
709
4.38 IPS |
|
|
Pose Estimation (F32)
|
100% |
218
0.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
218
0.88 IPS |
|
|
Pose Estimation (I8)
|
80% |
193
0.78 IPS |
|
|
Object Detection (F32)
|
100% |
331
11.6 IPS |
|
|
Object Detection (F16)
|
100% |
327
11.5 IPS |
|
|
Object Detection (I8)
|
52% |
290
10.2 IPS |
|
|
Face Detection (F32)
|
100% |
540
6.21 IPS |
|
|
Face Detection (F16)
|
100% |
538
6.18 IPS |
|
|
Face Detection (I8)
|
75% |
487
5.59 IPS |
|
|
Text Classification (F32)
|
100% |
281
111.2 IPS |
|
|
Text Classification (F16)
|
100% |
279
110.4 IPS |
|
|
Machine Translation (F32)
|
100% |
375
57.7 IPS |
|
|
Machine Translation (F16)
|
100% |
375
57.8 IPS |
