Samsung Galaxy S20 5G
Geekbench ML Score
742
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 10 2023 07:55 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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
563
60.3 IPS |
|
|
Image Classification (F16)
|
100% |
919
98.5 IPS |
|
|
Image Classification (I8)
|
80% |
1725
184.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
839
5.18 IPS |
|
|
Image Segmentation (F16)
|
100% |
1010
6.24 IPS |
|
|
Image Segmentation (I8)
|
89% |
3406
21.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
408
1.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
1537
6.22 IPS |
|
|
Pose Estimation (I8)
|
80% |
5600
22.7 IPS |
|
|
Object Detection (F32)
|
100% |
600
21.1 IPS |
|
|
Object Detection (F16)
|
100% |
904
31.7 IPS |
|
|
Object Detection (I8)
|
52% |
1400
49.1 IPS |
|
|
Face Detection (F32)
|
100% |
1051
12.1 IPS |
|
|
Face Detection (F16)
|
97% |
1309
15.0 IPS |
|
|
Face Detection (I8)
|
75% |
4409
50.6 IPS |
|
|
Text Classification (F32)
|
54% |
16
6.31 IPS |
|
|
Text Classification (F16)
|
54% |
17
6.53 IPS |
|
|
Machine Translation (F32)
|
100% |
555
85.5 IPS |
|
|
Machine Translation (F16)
|
100% |
550
84.8 IPS |
