motorola moto g6 play
Geekbench ML Score
61
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2024 11:03 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | motorola moto g6 play |
| Model ID | motorola moto g6 play |
| Motherboard | MSM8937 |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 4 Cores @ 1.09 GHz |
| Cluster 2 | 4 Cores @ 1.40 GHz |
| Memory Information | |
|---|---|
| Size | 2.78 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
38
4.09 IPS |
|
|
Image Classification (F16)
|
100% |
39
4.19 IPS |
|
|
Image Classification (I8)
|
81% |
180
19.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
71
0.44 IPS |
|
|
Image Segmentation (F16)
|
100% |
71
0.44 IPS |
|
|
Image Segmentation (I8)
|
89% |
201
1.24 IPS |
|
|
Pose Estimation (F32)
|
100% |
46
0.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
46
0.19 IPS |
|
|
Pose Estimation (I8)
|
80% |
77
0.31 IPS |
|
|
Object Detection (F32)
|
100% |
52
1.83 IPS |
|
|
Object Detection (F16)
|
100% |
53
1.87 IPS |
|
|
Object Detection (I8)
|
52% |
81
2.84 IPS |
|
|
Face Detection (F32)
|
100% |
79
0.91 IPS |
|
|
Face Detection (F16)
|
100% |
79
0.91 IPS |
|
|
Face Detection (I8)
|
75% |
270
3.10 IPS |
|
|
Text Classification (F32)
|
100% |
51
20.1 IPS |
|
|
Text Classification (F16)
|
100% |
51
20.1 IPS |
|
|
Machine Translation (F32)
|
100% |
14
2.13 IPS |
|
|
Machine Translation (F16)
|
100% |
14
2.14 IPS |
