Upload Date | August 16 2024 09:55 PM |
Views | 1 |
System Information | |
---|---|
Operating System | Android 14 |
Model | Samsung Galaxy A73 |
Model ID | samsung SM-A736B |
Motherboard | lahaina |
Governor | schedutil |
CPU Information | |
---|---|
Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
Base Frequency | 1.80 GHz |
Cluster 1 | 4 Cores @ 1.80 GHz |
Cluster 2 | 4 Cores @ 2.40 GHz |
Memory Information | |
---|---|
Size | 7.16 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | NNAPI |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
124
23.1 IPS |
|
Image Classification (F16)
|
100% |
124
23.2 IPS |
|
Image Classification (I8)
|
97% |
340
63.6 IPS |
|
Image Segmentation (F32)
|
100% |
164
2.73 IPS |
|
Image Segmentation (F16)
|
100% |
164
2.73 IPS |
|
Image Segmentation (I8)
|
98% |
365
6.09 IPS |
|
Pose Estimation (F32)
|
100% |
220
0.27 IPS |
|
Pose Estimation (F16)
|
100% |
219
0.27 IPS |
|
Pose Estimation (I8)
|
100% |
834
1.01 IPS |
|
Object Detection (F32)
|
100% |
130
9.67 IPS |
|
Object Detection (F16)
|
100% |
130
9.67 IPS |
|
Object Detection (I8)
|
61% |
371
27.7 IPS |
|
Face Detection (F32)
|
100% |
317
3.77 IPS |
|
Face Detection (F16)
|
100% |
317
3.77 IPS |
|
Face Detection (I8)
|
86% |
749
8.91 IPS |
|
Depth Estimation (F32)
|
100% |
277
2.15 IPS |
|
Depth Estimation (F16)
|
100% |
277
2.15 IPS |
|
Depth Estimation (I8)
|
95% |
808
6.27 IPS |
|
Style Transfer (F32)
|
100% |
471
0.62 IPS |
|
Style Transfer (F16)
|
100% |
471
0.62 IPS |
|
Style Transfer (I8)
|
98% |
1299
1.71 IPS |
|
Image Super-Resolution (F32)
|
100% |
142
5.07 IPS |
|
Image Super-Resolution (F16)
|
100% |
142
5.08 IPS |
|
Image Super-Resolution (I8)
|
98% |
502
17.9 IPS |
|
Text Classification (F32)
|
100% |
167
240.7 IPS |
|
Text Classification (F16)
|
100% |
168
240.8 IPS |
|
Text Classification (I8)
|
92% |
322
462.2 IPS |
|
Machine Translation (F32)
|
100% |
300
5.52 IPS |
|
Machine Translation (F16)
|
100% |
299
5.50 IPS |
|
Machine Translation (I8)
|
64% |
391
7.19 IPS |