Upload Date | September 28 2021 08:23 PM |
Views | 1 |
System Information | |
---|---|
Operating System | Android 11 |
Model | Samsung Galaxy S20 Ultra |
Model ID | samsung SM-G988B |
Motherboard | exynos990 |
Governor | energy_step |
CPU Information | |
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Name | ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 83 architecture 8 variant 1 part 4 revision 0 |
Base Frequency | 2.00 GHz |
Cluster 1 | 4 Cores @ 2.00 GHz |
Cluster 2 | 2 Cores @ 2.50 GHz |
Cluster 3 | 2 Cores @ 2.73 GHz |
Memory Information | |
---|---|
Size | 10.65 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
169
18.1 IPS |
|
Image Classification (F16)
|
100% |
172
18.4 IPS |
|
Image Classification (I8)
|
81% |
156
16.7 IPS |
|
Image Segmentation (F32)
|
100% |
364
2.25 IPS |
|
Image Segmentation (F16)
|
100% |
370
2.29 IPS |
|
Image Segmentation (I8)
|
89% |
655
4.05 IPS |
|
Pose Estimation (F32)
|
100% |
212
0.86 IPS |
|
Pose Estimation (F16)
|
100% |
213
0.86 IPS |
|
Pose Estimation (I8)
|
80% |
185
0.75 IPS |
|
Object Detection (F32)
|
100% |
202
7.08 IPS |
|
Object Detection (F16)
|
100% |
201
7.06 IPS |
|
Object Detection (I8)
|
52% |
232
8.13 IPS |
|
Face Detection (F32)
|
100% |
365
4.20 IPS |
|
Face Detection (F16)
|
100% |
353
4.06 IPS |
|
Face Detection (I8)
|
75% |
397
4.56 IPS |
|
Text Classification (F32)
|
100% |
182
72.0 IPS |
|
Text Classification (F16)
|
100% |
181
71.8 IPS |
|
Machine Translation (F32)
|
100% |
310
47.8 IPS |
|
Machine Translation (F16)
|
100% |
309
47.6 IPS |