motorola moto g stylus 5G - 2024
Geekbench ML Score
586
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 25 2024 11:06 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola moto g stylus 5G - 2024 |
| Model ID | motorola moto g stylus 5G - 2024 |
| Motherboard | boston |
| 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 | 7.29 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
290
54.3 IPS |
|
|
Image Classification (F16)
|
100% |
282
52.8 IPS |
|
|
Image Classification (I8)
|
97% |
675
126.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
344
5.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
346
5.77 IPS |
|
|
Image Segmentation (I8)
|
98% |
477
7.96 IPS |
|
|
Pose Estimation (F32)
|
100% |
512
0.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
511
0.62 IPS |
|
|
Pose Estimation (I8)
|
100% |
2857
3.46 IPS |
|
|
Object Detection (F32)
|
100% |
309
23.1 IPS |
|
|
Object Detection (F16)
|
100% |
306
22.9 IPS |
|
|
Object Detection (I8)
|
61% |
803
60.0 IPS |
|
|
Face Detection (F32)
|
100% |
537
6.38 IPS |
|
|
Face Detection (F16)
|
100% |
544
6.47 IPS |
|
|
Face Detection (I8)
|
86% |
1509
17.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
539
4.18 IPS |
|
|
Depth Estimation (F16)
|
100% |
533
4.13 IPS |
|
|
Depth Estimation (I8)
|
95% |
1487
11.5 IPS |
|
|
Style Transfer (F32)
|
100% |
885
1.16 IPS |
|
|
Style Transfer (F16)
|
100% |
883
1.16 IPS |
|
|
Style Transfer (I8)
|
98% |
2484
3.27 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
404
14.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
406
14.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1361
48.6 IPS |
|
|
Text Classification (F32)
|
100% |
427
614.3 IPS |
|
|
Text Classification (F16)
|
100% |
413
592.9 IPS |
|
|
Text Classification (I8)
|
92% |
417
599.1 IPS |
|
|
Machine Translation (F32)
|
100% |
630
11.6 IPS |
|
|
Machine Translation (F16)
|
100% |
619
11.4 IPS |
|
|
Machine Translation (I8)
|
64% |
271
4.99 IPS |
