motorola moto g32
Geekbench ML Score
154
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 16 2023 12:10 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | motorola moto g32 |
| Model ID | motorola moto g32 |
| Motherboard | devon |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.58 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
83
8.91 IPS |
|
|
Image Classification (F16)
|
100% |
71
7.65 IPS |
|
|
Image Classification (I8)
|
81% |
246
26.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
189
1.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
185
1.14 IPS |
|
|
Image Segmentation (I8)
|
89% |
587
3.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
100
0.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
99
0.40 IPS |
|
|
Pose Estimation (I8)
|
80% |
173
0.70 IPS |
|
|
Object Detection (F32)
|
100% |
91
3.21 IPS |
|
|
Object Detection (F16)
|
100% |
97
3.40 IPS |
|
|
Object Detection (I8)
|
52% |
256
8.97 IPS |
|
|
Face Detection (F32)
|
100% |
161
1.85 IPS |
|
|
Face Detection (F16)
|
100% |
144
1.66 IPS |
|
|
Face Detection (I8)
|
75% |
445
5.11 IPS |
|
|
Text Classification (F32)
|
100% |
130
51.5 IPS |
|
|
Text Classification (F16)
|
100% |
128
50.7 IPS |
|
|
Machine Translation (F32)
|
100% |
136
20.9 IPS |
|
|
Machine Translation (F16)
|
100% |
140
21.6 IPS |
