Samsung Galaxy S20 5G
Geekbench ML Score
1031
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 10 2023 07:51 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 | GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
764
81.8 IPS |
|
|
Image Classification (F16)
|
100% |
1256
134.5 IPS |
|
|
Image Classification (I8)
|
80% |
1122
120.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1840
11.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
3254
20.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
3305
20.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
927
3.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
1559
6.31 IPS |
|
|
Pose Estimation (I8)
|
80% |
1562
6.32 IPS |
|
|
Object Detection (F32)
|
100% |
500
17.5 IPS |
|
|
Object Detection (F16)
|
99% |
611
21.5 IPS |
|
|
Object Detection (I8)
|
53% |
632
22.2 IPS |
|
|
Face Detection (F32)
|
100% |
1414
16.2 IPS |
|
|
Face Detection (F16)
|
97% |
2496
28.7 IPS |
|
|
Face Detection (I8)
|
76% |
2215
25.4 IPS |
|
|
Text Classification (F32)
|
100% |
403
159.4 IPS |
|
|
Text Classification (F16)
|
98% |
437
172.9 IPS |
|
|
Machine Translation (F32)
|
100% |
374
57.7 IPS |
|
|
Machine Translation (F16)
|
100% |
377
58.1 IPS |
