motorola moto e32(s)
Geekbench ML Score
86
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 12 2023 03:05 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | motorola moto e32(s) |
| Model ID | motorola moto e32(s) |
| Motherboard | p410ae |
| CPU Information | |
|---|---|
| Name | ARM MT6765H |
| 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 | 2.70 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
48
5.10 IPS |
|
|
Image Classification (F16)
|
100% |
45
4.77 IPS |
|
|
Image Classification (I8)
|
81% |
227
24.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
118
0.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
121
0.75 IPS |
|
|
Image Segmentation (I8)
|
89% |
458
2.83 IPS |
|
|
Pose Estimation (F32)
|
100% |
60
0.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
59
0.24 IPS |
|
|
Pose Estimation (I8)
|
80% |
118
0.48 IPS |
|
|
Object Detection (F32)
|
100% |
67
2.36 IPS |
|
|
Object Detection (F16)
|
100% |
79
2.77 IPS |
|
|
Object Detection (I8)
|
52% |
226
7.92 IPS |
|
|
Face Detection (F32)
|
100% |
102
1.18 IPS |
|
|
Face Detection (F16)
|
100% |
116
1.34 IPS |
|
|
Face Detection (I8)
|
75% |
342
3.93 IPS |
|
|
Text Classification (F32)
|
100% |
70
27.7 IPS |
|
|
Text Classification (F16)
|
100% |
72
28.6 IPS |
|
|
Machine Translation (F32)
|
100% |
13
1.94 IPS |
|
|
Machine Translation (F16)
|
100% |
14
2.21 IPS |
