Samsung Galaxy Note10 Lite
Geekbench ML Score
285
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 15 2022 07:15 PM |
| Views | 1 |
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 | 7.41 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
301
32.3 IPS |
|
|
Image Classification (F16)
|
100% |
291
31.2 IPS |
|
|
Image Classification (I8)
|
81% |
131
14.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
388
2.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
388
2.40 IPS |
|
|
Image Segmentation (I8)
|
89% |
530
3.27 IPS |
|
|
Pose Estimation (F32)
|
100% |
175
0.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
167
0.68 IPS |
|
|
Pose Estimation (I8)
|
80% |
129
0.52 IPS |
|
|
Object Detection (F32)
|
100% |
283
9.93 IPS |
|
|
Object Detection (F16)
|
100% |
274
9.62 IPS |
|
|
Object Detection (I8)
|
52% |
199
6.98 IPS |
|
|
Face Detection (F32)
|
100% |
454
5.21 IPS |
|
|
Face Detection (F16)
|
100% |
447
5.14 IPS |
|
|
Face Detection (I8)
|
75% |
355
4.07 IPS |
|
|
Text Classification (F32)
|
100% |
276
109.0 IPS |
|
|
Text Classification (F16)
|
100% |
271
107.3 IPS |
|
|
Machine Translation (F32)
|
100% |
405
62.4 IPS |
|
|
Machine Translation (F16)
|
100% |
401
61.8 IPS |
