Upload Date | July 18 2024 03:25 PM |
Views | 2 |
System Information | |
---|---|
Operating System | Android 14 |
Model | Samsung Galaxy A33 |
Model ID | samsung SM-A336E |
Motherboard | s5e8825 |
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 | 6 Cores @ 2.00 GHz |
Cluster 2 | 2 Cores @ 2.40 GHz |
Memory Information | |
---|---|
Size | 7.22 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
199
37.2 IPS |
|
Image Classification (F16)
|
100% |
206
38.5 IPS |
|
Image Classification (I8)
|
97% |
467
87.3 IPS |
|
Image Segmentation (F32)
|
100% |
273
4.56 IPS |
|
Image Segmentation (F16)
|
100% |
203
3.39 IPS |
|
Image Segmentation (I8)
|
98% |
232
3.88 IPS |
|
Pose Estimation (F32)
|
100% |
366
0.44 IPS |
|
Pose Estimation (F16)
|
100% |
375
0.45 IPS |
|
Pose Estimation (I8)
|
100% |
2224
2.69 IPS |
|
Object Detection (F32)
|
100% |
224
16.8 IPS |
|
Object Detection (F16)
|
100% |
246
18.4 IPS |
|
Object Detection (I8)
|
61% |
85
6.37 IPS |
|
Face Detection (F32)
|
100% |
233
2.77 IPS |
|
Face Detection (F16)
|
100% |
220
2.62 IPS |
|
Face Detection (I8)
|
86% |
288
3.42 IPS |
|
Depth Estimation (F32)
|
100% |
335
2.59 IPS |
|
Depth Estimation (F16)
|
100% |
265
2.05 IPS |
|
Depth Estimation (I8)
|
95% |
285
2.21 IPS |
|
Style Transfer (F32)
|
100% |
703
0.92 IPS |
|
Style Transfer (F16)
|
100% |
697
0.92 IPS |
|
Style Transfer (I8)
|
98% |
1747
2.30 IPS |
|
Image Super-Resolution (F32)
|
100% |
122
4.37 IPS |
|
Image Super-Resolution (F16)
|
100% |
182
6.50 IPS |
|
Image Super-Resolution (I8)
|
98% |
245
8.75 IPS |
|
Text Classification (F32)
|
100% |
10
14.1 IPS |
|
Text Classification (F16)
|
100% |
11
15.2 IPS |
|
Text Classification (I8)
|
92% |
11
16.1 IPS |
|
Machine Translation (F32)
|
100% |
24
0.45 IPS |
|
Machine Translation (F16)
|
100% |
68
1.25 IPS |
|
Machine Translation (I8)
|
64% |
104
1.91 IPS |