motorola moto g stylus 5G - 2023
Geekbench ML Score
453
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 22 2024 08:26 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | motorola moto g stylus 5G - 2023 |
| Model ID | motorola moto g stylus 5G - 2023 |
| Motherboard | genevn |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.39 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
159
29.8 IPS |
|
|
Image Classification (F16)
|
100% |
166
31.0 IPS |
|
|
Image Classification (I8)
|
97% |
555
103.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
307
5.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
283
4.73 IPS |
|
|
Image Segmentation (I8)
|
98% |
372
6.21 IPS |
|
|
Pose Estimation (F32)
|
100% |
463
0.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
445
0.54 IPS |
|
|
Pose Estimation (I8)
|
100% |
1941
2.35 IPS |
|
|
Object Detection (F32)
|
100% |
253
18.9 IPS |
|
|
Object Detection (F16)
|
100% |
231
17.2 IPS |
|
|
Object Detection (I8)
|
61% |
676
50.5 IPS |
|
|
Face Detection (F32)
|
100% |
372
4.42 IPS |
|
|
Face Detection (F16)
|
100% |
359
4.26 IPS |
|
|
Face Detection (I8)
|
86% |
1074
12.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
392
3.04 IPS |
|
|
Depth Estimation (F16)
|
100% |
442
3.43 IPS |
|
|
Depth Estimation (I8)
|
95% |
1223
9.48 IPS |
|
|
Style Transfer (F32)
|
100% |
816
1.07 IPS |
|
|
Style Transfer (F16)
|
100% |
846
1.11 IPS |
|
|
Style Transfer (I8)
|
98% |
2234
2.94 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
323
11.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
227
8.11 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1125
40.2 IPS |
|
|
Text Classification (F32)
|
100% |
299
429.2 IPS |
|
|
Text Classification (F16)
|
100% |
293
420.6 IPS |
|
|
Text Classification (I8)
|
92% |
270
388.6 IPS |
|
|
Machine Translation (F32)
|
100% |
542
9.98 IPS |
|
|
Machine Translation (F16)
|
100% |
557
10.3 IPS |
|
|
Machine Translation (I8)
|
64% |
238
4.37 IPS |
