motorola moto e13
Geekbench ML Score
163
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 27 2023 05:13 AM |
| Views | 22 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | motorola moto e13 |
| Model ID | motorola moto e13 |
| Motherboard | m170 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Unisoc |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 8 Cores @ 1.61 GHz |
| Memory Information | |
|---|---|
| Size | 1.78 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
88
9.39 IPS |
|
|
Image Classification (F16)
|
100% |
98
10.5 IPS |
|
|
Image Classification (I8)
|
81% |
204
21.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
225
1.39 IPS |
|
|
Image Segmentation (F16)
|
100% |
223
1.38 IPS |
|
|
Image Segmentation (I8)
|
89% |
508
3.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
96
0.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
96
0.39 IPS |
|
|
Pose Estimation (I8)
|
80% |
125
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
150
5.25 IPS |
|
|
Object Detection (F16)
|
100% |
152
5.34 IPS |
|
|
Object Detection (I8)
|
52% |
261
9.18 IPS |
|
|
Face Detection (F32)
|
100% |
214
2.45 IPS |
|
|
Face Detection (F16)
|
100% |
214
2.46 IPS |
|
|
Face Detection (I8)
|
75% |
382
4.39 IPS |
|
|
Text Classification (F32)
|
100% |
135
53.5 IPS |
|
|
Text Classification (F16)
|
100% |
138
54.6 IPS |
|
|
Machine Translation (F32)
|
100% |
108
16.7 IPS |
|
|
Machine Translation (F16)
|
100% |
111
17.2 IPS |
