motorola moto g stylus 5G
Geekbench ML Score
275
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 19 2023 03:16 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | motorola moto g stylus 5G |
| Model ID | motorola moto g stylus 5G |
| Motherboard | denver |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 8 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.04 GHz |
| Memory Information | |
|---|---|
| Size | 3.42 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
195
20.9 IPS |
|
|
Image Classification (F16)
|
100% |
197
21.1 IPS |
|
|
Image Classification (I8)
|
81% |
301
32.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
359
2.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
368
2.28 IPS |
|
|
Image Segmentation (I8)
|
89% |
657
4.06 IPS |
|
|
Pose Estimation (F32)
|
100% |
150
0.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
150
0.61 IPS |
|
|
Pose Estimation (I8)
|
80% |
152
0.61 IPS |
|
|
Object Detection (F32)
|
100% |
266
9.33 IPS |
|
|
Object Detection (F16)
|
100% |
263
9.22 IPS |
|
|
Object Detection (I8)
|
52% |
341
12.0 IPS |
|
|
Face Detection (F32)
|
100% |
377
4.33 IPS |
|
|
Face Detection (F16)
|
100% |
375
4.31 IPS |
|
|
Face Detection (I8)
|
75% |
510
5.85 IPS |
|
|
Text Classification (F32)
|
100% |
264
104.5 IPS |
|
|
Text Classification (F16)
|
100% |
257
101.7 IPS |
|
|
Machine Translation (F32)
|
100% |
238
36.6 IPS |
|
|
Machine Translation (F16)
|
100% |
238
36.7 IPS |
