Upload Date | May 15 2022 08:04 PM |
Views | 1 |
System Information | |
---|---|
Operating System | Android 12 |
Model | Samsung Galaxy S20 FE 5G |
Model ID | samsung SM-G781B |
Motherboard | kona |
Governor | schedutil |
CPU Information | |
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Name | ARM Qualcomm |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
Base Frequency | 1.80 GHz |
Cluster 1 | 4 Cores @ 1.80 GHz |
Cluster 2 | 3 Cores @ 2.42 GHz |
Cluster 3 | 1 Core @ 2.84 GHz |
Memory Information | |
---|---|
Size | 7.44 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
452
48.5 IPS |
|
Image Classification (F16)
|
100% |
458
49.0 IPS |
|
Image Classification (I8)
|
81% |
225
24.2 IPS |
|
Image Segmentation (F32)
|
100% |
685
4.23 IPS |
|
Image Segmentation (F16)
|
100% |
681
4.21 IPS |
|
Image Segmentation (I8)
|
89% |
953
5.89 IPS |
|
Pose Estimation (F32)
|
100% |
282
1.14 IPS |
|
Pose Estimation (F16)
|
100% |
282
1.14 IPS |
|
Pose Estimation (I8)
|
80% |
247
1.00 IPS |
|
Object Detection (F32)
|
100% |
504
17.7 IPS |
|
Object Detection (F16)
|
100% |
493
17.3 IPS |
|
Object Detection (I8)
|
52% |
363
12.7 IPS |
|
Face Detection (F32)
|
100% |
706
8.11 IPS |
|
Face Detection (F16)
|
100% |
696
8.00 IPS |
|
Face Detection (I8)
|
75% |
593
6.82 IPS |
|
Text Classification (F32)
|
100% |
402
159.0 IPS |
|
Text Classification (F16)
|
100% |
399
158.0 IPS |
|
Machine Translation (F32)
|
100% |
545
84.0 IPS |
|
Machine Translation (F16)
|
100% |
553
85.2 IPS |