Samsung Galaxy Note10 Lite
Geekbench ML Score
486
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2022 09:28 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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% |
332
35.6 IPS |
|
|
Image Classification (F16)
|
100% |
581
62.2 IPS |
|
|
Image Classification (I8)
|
81% |
536
57.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
742
4.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
1558
9.62 IPS |
|
|
Image Segmentation (I8)
|
89% |
1547
9.56 IPS |
|
|
Pose Estimation (F32)
|
100% |
161
0.65 IPS |
|
|
Pose Estimation (F16)
|
0% |
575
2.33 IPS |
|
|
Pose Estimation (I8)
|
0% |
576
2.33 IPS |
|
|
Object Detection (F32)
|
100% |
206
7.21 IPS |
|
|
Object Detection (F16)
|
99% |
337
11.8 IPS |
|
|
Object Detection (I8)
|
54% |
324
11.4 IPS |
|
|
Face Detection (F32)
|
100% |
572
6.57 IPS |
|
|
Face Detection (F16)
|
97% |
1142
13.1 IPS |
|
|
Face Detection (I8)
|
75% |
1186
13.6 IPS |
|
|
Text Classification (F32)
|
100% |
370
146.4 IPS |
|
|
Text Classification (F16)
|
98% |
554
219.2 IPS |
|
|
Machine Translation (F32)
|
100% |
178
27.4 IPS |
|
|
Machine Translation (F16)
|
100% |
180
27.7 IPS |
