Upload Date | May 29 2024 08:38 AM |
Views | 1 |
System Information | |
---|---|
Operating System | Android 13 |
Model | motorola moto g54 5G |
Model ID | motorola moto g54 5G |
Motherboard | cancunf |
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 | 11.35 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
186
34.9 IPS |
|
Image Classification (F16)
|
100% |
190
35.5 IPS |
|
Image Classification (I8)
|
97% |
391
73.2 IPS |
|
Image Segmentation (F32)
|
100% |
266
4.45 IPS |
|
Image Segmentation (F16)
|
100% |
278
4.64 IPS |
|
Image Segmentation (I8)
|
98% |
457
7.63 IPS |
|
Pose Estimation (F32)
|
100% |
386
0.47 IPS |
|
Pose Estimation (F16)
|
100% |
384
0.46 IPS |
|
Pose Estimation (I8)
|
100% |
1779
2.15 IPS |
|
Object Detection (F32)
|
100% |
206
15.4 IPS |
|
Object Detection (F16)
|
100% |
206
15.3 IPS |
|
Object Detection (I8)
|
61% |
438
32.7 IPS |
|
Face Detection (F32)
|
100% |
445
5.30 IPS |
|
Face Detection (F16)
|
100% |
442
5.25 IPS |
|
Face Detection (I8)
|
86% |
963
11.4 IPS |
|
Depth Estimation (F32)
|
100% |
426
3.30 IPS |
|
Depth Estimation (F16)
|
100% |
418
3.24 IPS |
|
Depth Estimation (I8)
|
95% |
1011
7.84 IPS |
|
Style Transfer (F32)
|
100% |
731
0.96 IPS |
|
Style Transfer (F16)
|
100% |
730
0.96 IPS |
|
Style Transfer (I8)
|
98% |
2086
2.74 IPS |
|
Image Super-Resolution (F32)
|
100% |
256
9.13 IPS |
|
Image Super-Resolution (F16)
|
100% |
249
8.88 IPS |
|
Image Super-Resolution (I8)
|
98% |
681
24.3 IPS |
|
Text Classification (F32)
|
100% |
225
322.7 IPS |
|
Text Classification (F16)
|
100% |
222
318.8 IPS |
|
Text Classification (I8)
|
92% |
189
271.2 IPS |
|
Machine Translation (F32)
|
100% |
480
8.84 IPS |
|
Machine Translation (F16)
|
100% |
487
8.96 IPS |
|
Machine Translation (I8)
|
64% |
260
4.78 IPS |