Upload Date | July 25 2024 11:06 PM |
Views | 1 |
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 |
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 |