Upload Date | July 26 2024 11:54 PM |
Views | 1 |
System Information | |
---|---|
Operating System | Android 14 |
Model | motorola moto g power 5G - 2024 |
Model ID | motorola moto g power 5G - 2024 |
Motherboard | cancunn |
CPU Information | |
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Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
Base Frequency | 2.00 GHz |
Cluster 1 | 6 Cores @ 2.00 GHz |
Cluster 2 | 2 Cores @ 2.20 GHz |
Memory Information | |
---|---|
Size | 7.44 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | NNAPI |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
180
33.7 IPS |
|
Image Classification (F16)
|
97% |
341
63.8 IPS |
|
Image Classification (I8)
|
97% |
72
13.5 IPS |
|
Image Segmentation (F32)
|
100% |
244
4.08 IPS |
|
Image Segmentation (F16)
|
100% |
624
10.4 IPS |
|
Image Segmentation (I8)
|
98% |
84
1.40 IPS |
|
Pose Estimation (F32)
|
100% |
995
1.21 IPS |
|
Pose Estimation (F16)
|
100% |
2168
2.63 IPS |
|
Pose Estimation (I8)
|
80% |
1205
1.46 IPS |
|
Object Detection (F32)
|
100% |
177
13.2 IPS |
|
Object Detection (F16)
|
100% |
326
24.4 IPS |
|
Object Detection (I8)
|
51% |
94
7.00 IPS |
|
Face Detection (F32)
|
100% |
600
7.13 IPS |
|
Face Detection (F16)
|
97% |
1146
13.6 IPS |
|
Face Detection (I8)
|
87% |
130
1.55 IPS |
|
Depth Estimation (F32)
|
98% |
667
5.17 IPS |
|
Depth Estimation (F16)
|
98% |
1497
11.6 IPS |
|
Depth Estimation (I8)
|
93% |
374
2.90 IPS |
|
Style Transfer (F32)
|
99% |
881
1.16 IPS |
|
Style Transfer (F16)
|
99% |
1218
1.60 IPS |
|
Style Transfer (I8)
|
98% |
1784
2.35 IPS |
|
Image Super-Resolution (F32)
|
98% |
438
15.7 IPS |
|
Image Super-Resolution (F16)
|
0
|
||
Image Super-Resolution (I8)
|
98% |
501
17.9 IPS |
|
Text Classification (F32)
|
36% |
40
57.4 IPS |
|
Text Classification (F16)
|
36% |
36
52.1 IPS |
|
Text Classification (I8)
|
94% |
70
101.2 IPS |
|
Machine Translation (F32)
|
100% |
153
2.81 IPS |
|
Machine Translation (F16)
|
100% |
247
4.54 IPS |
|
Machine Translation (I8)
|
57% |
153
2.82 IPS |