Upload Date | February 01 2025 07:57 PM |
Views | 49 |
System Information | |
---|---|
Operating System | Android 15 |
Model | motorola moto g power - 2025 |
Model ID | motorola moto g power - 2025 |
Motherboard | vegas |
CPU Information | |
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Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
Base Frequency | 2.00 GHz |
Cluster 1 | 6 Cores @ 2.00 GHz |
Cluster 2 | 2 Cores @ 2.40 GHz |
Memory Information | |
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Size | 7.48 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
189
35.3 IPS |
|
Image Classification (F16)
|
100% |
185
34.7 IPS |
|
Image Classification (I8)
|
97% |
305
57.1 IPS |
|
Image Segmentation (F32)
|
100% |
284
4.75 IPS |
|
Image Segmentation (F16)
|
100% |
289
4.83 IPS |
|
Image Segmentation (I8)
|
98% |
413
6.90 IPS |
|
Pose Estimation (F32)
|
100% |
396
0.48 IPS |
|
Pose Estimation (F16)
|
100% |
393
0.48 IPS |
|
Pose Estimation (I8)
|
100% |
1811
2.19 IPS |
|
Object Detection (F32)
|
100% |
219
16.4 IPS |
|
Object Detection (F16)
|
100% |
219
16.4 IPS |
|
Object Detection (I8)
|
61% |
368
27.5 IPS |
|
Face Detection (F32)
|
100% |
437
5.19 IPS |
|
Face Detection (F16)
|
100% |
430
5.11 IPS |
|
Face Detection (I8)
|
86% |
872
10.4 IPS |
|
Depth Estimation (F32)
|
100% |
422
3.28 IPS |
|
Depth Estimation (F16)
|
100% |
423
3.28 IPS |
|
Depth Estimation (I8)
|
95% |
872
6.76 IPS |
|
Style Transfer (F32)
|
100% |
663
0.87 IPS |
|
Style Transfer (F16)
|
100% |
659
0.87 IPS |
|
Style Transfer (I8)
|
98% |
1878
2.47 IPS |
|
Image Super-Resolution (F32)
|
100% |
202
7.21 IPS |
|
Image Super-Resolution (F16)
|
100% |
228
8.13 IPS |
|
Image Super-Resolution (I8)
|
98% |
694
24.8 IPS |
|
Text Classification (F32)
|
100% |
233
334.1 IPS |
|
Text Classification (F16)
|
100% |
232
333.5 IPS |
|
Text Classification (I8)
|
92% |
203
291.5 IPS |
|
Machine Translation (F32)
|
100% |
409
7.53 IPS |
|
Machine Translation (F16)
|
100% |
410
7.54 IPS |
|
Machine Translation (I8)
|
64% |
210
3.86 IPS |