motorola moto g play (2021)
Geekbench ML Score
129
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 15 2021 10:00 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | motorola moto g play (2021) |
| Model ID | motorola moto g play (2021) |
| Motherboard | guamna |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.61 GHz |
| Cluster 2 | 4 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 2.66 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
80
8.60 IPS |
|
|
Image Classification (F16)
|
100% |
75
8.02 IPS |
|
|
Image Classification (I8)
|
81% |
219
23.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
160
0.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
158
0.98 IPS |
|
|
Image Segmentation (I8)
|
89% |
387
2.39 IPS |
|
|
Pose Estimation (F32)
|
100% |
78
0.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
78
0.32 IPS |
|
|
Pose Estimation (I8)
|
80% |
131
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
107
3.77 IPS |
|
|
Object Detection (F16)
|
100% |
104
3.66 IPS |
|
|
Object Detection (I8)
|
52% |
198
6.95 IPS |
|
|
Face Detection (F32)
|
100% |
152
1.75 IPS |
|
|
Face Detection (F16)
|
100% |
161
1.84 IPS |
|
|
Face Detection (I8)
|
75% |
370
4.25 IPS |
|
|
Text Classification (F32)
|
100% |
91
36.1 IPS |
|
|
Text Classification (F16)
|
100% |
92
36.6 IPS |
|
|
Machine Translation (F32)
|
100% |
88
13.6 IPS |
|
|
Machine Translation (F16)
|
100% |
87
13.4 IPS |
