Samsung Galaxy Note10 Lite
Geekbench ML Score
509
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | July 16 2022 03:31 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy Note10 Lite |
| Model ID | samsung SM-N770F |
| Motherboard | exynos9810 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 2 revision 0 |
| Base Frequency | 1.79 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 4 Cores @ 2.70 GHz |
| Memory Information | |
|---|---|
| Size | 5.45 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
361
38.7 IPS |
|
|
Image Classification (F16)
|
100% |
591
63.4 IPS |
|
|
Image Classification (I8)
|
81% |
540
57.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
794
4.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
1765
10.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
1599
9.88 IPS |
|
|
Pose Estimation (F32)
|
100% |
186
0.75 IPS |
|
|
Pose Estimation (F16)
|
0% |
598
2.42 IPS |
|
|
Pose Estimation (I8)
|
0% |
604
2.44 IPS |
|
|
Object Detection (F32)
|
100% |
207
7.28 IPS |
|
|
Object Detection (F16)
|
99% |
329
11.5 IPS |
|
|
Object Detection (I8)
|
54% |
326
11.4 IPS |
|
|
Face Detection (F32)
|
100% |
654
7.51 IPS |
|
|
Face Detection (F16)
|
97% |
1270
14.6 IPS |
|
|
Face Detection (I8)
|
75% |
1047
12.0 IPS |
|
|
Text Classification (F32)
|
100% |
392
155.0 IPS |
|
|
Text Classification (F16)
|
98% |
556
219.9 IPS |
|
|
Machine Translation (F32)
|
100% |
187
28.9 IPS |
|
|
Machine Translation (F16)
|
100% |
199
30.7 IPS |
