motorola moto g power (2021)
Geekbench ML Score
145
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 19 2023 03:30 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | motorola moto g power (2021) |
| Model ID | motorola moto g power (2021) |
| Motherboard | borneo |
| 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 @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 2.66 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
104
11.2 IPS |
|
|
Image Classification (F16)
|
100% |
101
10.8 IPS |
|
|
Image Classification (I8)
|
81% |
229
24.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
1.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
191
1.18 IPS |
|
|
Image Segmentation (I8)
|
89% |
463
2.86 IPS |
|
|
Pose Estimation (F32)
|
100% |
81
0.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
81
0.33 IPS |
|
|
Pose Estimation (I8)
|
80% |
139
0.56 IPS |
|
|
Object Detection (F32)
|
100% |
123
4.30 IPS |
|
|
Object Detection (F16)
|
100% |
122
4.27 IPS |
|
|
Object Detection (I8)
|
52% |
213
7.48 IPS |
|
|
Face Detection (F32)
|
100% |
176
2.03 IPS |
|
|
Face Detection (F16)
|
100% |
165
1.90 IPS |
|
|
Face Detection (I8)
|
75% |
351
4.04 IPS |
|
|
Text Classification (F32)
|
100% |
102
40.2 IPS |
|
|
Text Classification (F16)
|
100% |
113
44.8 IPS |
|
|
Machine Translation (F32)
|
100% |
98
15.1 IPS |
|
|
Machine Translation (F16)
|
100% |
97
15.0 IPS |
