Upload Date | July 17 2024 05:06 PM |
Views | 1 |
System Information | |
---|---|
Operating System | Android 14 |
Model | samsung SM-A356E |
Model ID | samsung SM-A356E |
Motherboard | s5e8835 |
Governor | energy_aware |
CPU Information | |
---|---|
Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
Base Frequency | 2.00 GHz |
Cluster 1 | 4 Cores @ 2.00 GHz |
Cluster 2 | 4 Cores @ 2.40 GHz |
Memory Information | |
---|---|
Size | 7.26 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
246
46.1 IPS |
|
Image Classification (F16)
|
100% |
181
33.9 IPS |
|
Image Classification (I8)
|
97% |
169
31.5 IPS |
|
Image Segmentation (F32)
|
100% |
255
4.26 IPS |
|
Image Segmentation (F16)
|
100% |
225
3.76 IPS |
|
Image Segmentation (I8)
|
98% |
340
5.69 IPS |
|
Pose Estimation (F32)
|
100% |
480
0.58 IPS |
|
Pose Estimation (F16)
|
100% |
468
0.57 IPS |
|
Pose Estimation (I8)
|
100% |
2909
3.52 IPS |
|
Object Detection (F32)
|
100% |
288
21.5 IPS |
|
Object Detection (F16)
|
100% |
311
23.2 IPS |
|
Object Detection (I8)
|
61% |
494
36.9 IPS |
|
Face Detection (F32)
|
100% |
389
4.63 IPS |
|
Face Detection (F16)
|
100% |
333
3.96 IPS |
|
Face Detection (I8)
|
86% |
601
7.14 IPS |
|
Depth Estimation (F32)
|
100% |
492
3.81 IPS |
|
Depth Estimation (F16)
|
100% |
429
3.33 IPS |
|
Depth Estimation (I8)
|
95% |
796
6.17 IPS |
|
Style Transfer (F32)
|
100% |
875
1.15 IPS |
|
Style Transfer (F16)
|
100% |
845
1.11 IPS |
|
Style Transfer (I8)
|
98% |
2278
3.00 IPS |
|
Image Super-Resolution (F32)
|
100% |
333
11.9 IPS |
|
Image Super-Resolution (F16)
|
100% |
345
12.3 IPS |
|
Image Super-Resolution (I8)
|
98% |
819
29.2 IPS |
|
Text Classification (F32)
|
100% |
347
498.9 IPS |
|
Text Classification (F16)
|
100% |
350
503.7 IPS |
|
Text Classification (I8)
|
92% |
313
450.1 IPS |
|
Machine Translation (F32)
|
100% |
346
6.37 IPS |
|
Machine Translation (F16)
|
100% |
485
8.92 IPS |
|
Machine Translation (I8)
|
64% |
108
1.99 IPS |