motorola moto g(8) power lite
Geekbench ML Score
44
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | September 21 2024 11:06 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | motorola moto g(8) power lite |
| Model ID | motorola moto g(8) power lite |
| Motherboard | blackjack |
| CPU Information | |
|---|---|
| Name | ARM MT6765V/WB |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 3.68 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
27
2.89 IPS |
|
|
Image Classification (F16)
|
100% |
26
2.81 IPS |
|
|
Image Classification (I8)
|
81% |
67
7.18 IPS |
|
|
Image Segmentation (F32)
|
100% |
52
0.32 IPS |
|
|
Image Segmentation (F16)
|
100% |
55
0.34 IPS |
|
|
Image Segmentation (I8)
|
89% |
121
0.75 IPS |
|
|
Pose Estimation (F32)
|
100% |
37
0.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
37
0.15 IPS |
|
|
Pose Estimation (I8)
|
80% |
20
0.08 IPS |
|
|
Object Detection (F32)
|
100% |
42
1.47 IPS |
|
|
Object Detection (F16)
|
100% |
38
1.35 IPS |
|
|
Object Detection (I8)
|
52% |
96
3.37 IPS |
|
|
Face Detection (F32)
|
100% |
48
0.55 IPS |
|
|
Face Detection (F16)
|
100% |
48
0.55 IPS |
|
|
Face Detection (I8)
|
75% |
97
1.11 IPS |
|
|
Text Classification (F32)
|
100% |
81
31.8 IPS |
|
|
Text Classification (F16)
|
100% |
78
30.9 IPS |
|
|
Machine Translation (F32)
|
100% |
13
2.05 IPS |
|
|
Machine Translation (F16)
|
100% |
14
2.16 IPS |
