Upload Date | January 19 2022 09:22 AM |
Views | 5 |
System Information | |
---|---|
Operating System | Android 12 |
Model | samsung SM-G970N |
Model ID | samsung SM-G970N |
Motherboard | exynos9820 |
Governor | schedutil |
CPU Information | |
---|---|
Name | ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 83 architecture 8 variant 1 part 3 revision 0 |
Base Frequency | 1.95 GHz |
Cluster 1 | 4 Cores @ 1.95 GHz |
Cluster 2 | 2 Cores @ 2.31 GHz |
Cluster 3 | 2 Cores @ 2.73 GHz |
Memory Information | |
---|---|
Size | 5.29 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
152
16.3 IPS |
|
Image Classification (F16)
|
100% |
109
11.7 IPS |
|
Image Classification (I8)
|
81% |
156
16.7 IPS |
|
Image Segmentation (F32)
|
100% |
314
1.94 IPS |
|
Image Segmentation (F16)
|
100% |
312
1.93 IPS |
|
Image Segmentation (I8)
|
89% |
617
3.81 IPS |
|
Pose Estimation (F32)
|
100% |
161
0.65 IPS |
|
Pose Estimation (F16)
|
100% |
148
0.60 IPS |
|
Pose Estimation (I8)
|
80% |
182
0.73 IPS |
|
Object Detection (F32)
|
100% |
134
4.72 IPS |
|
Object Detection (F16)
|
100% |
139
4.88 IPS |
|
Object Detection (I8)
|
52% |
225
7.90 IPS |
|
Face Detection (F32)
|
100% |
232
2.66 IPS |
|
Face Detection (F16)
|
100% |
251
2.88 IPS |
|
Face Detection (I8)
|
75% |
390
4.48 IPS |
|
Text Classification (F32)
|
100% |
271
107.2 IPS |
|
Text Classification (F16)
|
100% |
214
84.5 IPS |
|
Machine Translation (F32)
|
100% |
546
84.1 IPS |
|
Machine Translation (F16)
|
100% |
524
80.8 IPS |