motorola moto g 5G plus
Geekbench ML Score
261
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | October 29 2024 02:41 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | motorola moto g 5G plus |
| Model ID | motorola moto g 5G plus |
| Motherboard | nairo |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 1 Core @ 2.21 GHz |
| Cluster 3 | 1 Core @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
147
15.7 IPS |
|
|
Image Classification (F16)
|
100% |
159
17.0 IPS |
|
|
Image Classification (I8)
|
81% |
194
20.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
347
2.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
345
2.13 IPS |
|
|
Image Segmentation (I8)
|
89% |
599
3.70 IPS |
|
|
Pose Estimation (F32)
|
100% |
147
0.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
147
0.60 IPS |
|
|
Pose Estimation (I8)
|
80% |
149
0.60 IPS |
|
|
Object Detection (F32)
|
100% |
241
8.46 IPS |
|
|
Object Detection (F16)
|
100% |
225
7.89 IPS |
|
|
Object Detection (I8)
|
52% |
372
13.1 IPS |
|
|
Face Detection (F32)
|
100% |
333
3.82 IPS |
|
|
Face Detection (F16)
|
100% |
333
3.83 IPS |
|
|
Face Detection (I8)
|
75% |
445
5.11 IPS |
|
|
Text Classification (F32)
|
100% |
265
104.7 IPS |
|
|
Text Classification (F16)
|
100% |
261
103.3 IPS |
|
|
Machine Translation (F32)
|
100% |
345
53.1 IPS |
|
|
Machine Translation (F16)
|
100% |
346
53.3 IPS |
