Upload Date | August 17 2024 12:19 AM |
Views | 3 |
System Information | |
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Operating System | Android 14 |
Model | samsung SM-A155M |
Model ID | samsung SM-A155M |
Motherboard | a15 |
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 @ 2.20 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% |
161
30.1 IPS |
|
Image Classification (F16)
|
100% |
165
30.9 IPS |
|
Image Classification (I8)
|
97% |
268
50.2 IPS |
|
Image Segmentation (F32)
|
100% |
251
4.19 IPS |
|
Image Segmentation (F16)
|
100% |
245
4.09 IPS |
|
Image Segmentation (I8)
|
98% |
331
5.54 IPS |
|
Pose Estimation (F32)
|
100% |
351
0.43 IPS |
|
Pose Estimation (F16)
|
100% |
358
0.43 IPS |
|
Pose Estimation (I8)
|
100% |
1491
1.81 IPS |
|
Object Detection (F32)
|
100% |
191
14.2 IPS |
|
Object Detection (F16)
|
100% |
191
14.3 IPS |
|
Object Detection (I8)
|
61% |
339
25.3 IPS |
|
Face Detection (F32)
|
100% |
381
4.52 IPS |
|
Face Detection (F16)
|
100% |
387
4.61 IPS |
|
Face Detection (I8)
|
86% |
657
7.81 IPS |
|
Depth Estimation (F32)
|
100% |
375
2.91 IPS |
|
Depth Estimation (F16)
|
100% |
371
2.87 IPS |
|
Depth Estimation (I8)
|
95% |
698
5.41 IPS |
|
Style Transfer (F32)
|
100% |
606
0.80 IPS |
|
Style Transfer (F16)
|
100% |
608
0.80 IPS |
|
Style Transfer (I8)
|
98% |
1757
2.31 IPS |
|
Image Super-Resolution (F32)
|
100% |
215
7.66 IPS |
|
Image Super-Resolution (F16)
|
100% |
216
7.71 IPS |
|
Image Super-Resolution (I8)
|
98% |
610
21.8 IPS |
|
Text Classification (F32)
|
100% |
197
282.9 IPS |
|
Text Classification (F16)
|
100% |
193
277.7 IPS |
|
Text Classification (I8)
|
92% |
157
225.6 IPS |
|
Machine Translation (F32)
|
100% |
377
6.95 IPS |
|
Machine Translation (F16)
|
100% |
374
6.88 IPS |
|
Machine Translation (I8)
|
64% |
211
3.88 IPS |