Upload Date | August 17 2024 02:02 PM |
Views | 2 |
System Information | |
---|---|
Operating System | Android 14 |
Model | samsung SM-X810 |
Model ID | samsung SM-X810 |
Motherboard | kalama |
Governor | walt |
CPU Information | |
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Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
Base Frequency | 2.02 GHz |
Cluster 1 | 3 Cores @ 2.02 GHz |
Cluster 2 | 4 Cores @ 2.80 GHz |
Cluster 3 | 1 Core @ 3.36 GHz |
Memory Information | |
---|---|
Size | 10.91 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
519
97.0 IPS |
|
Image Classification (F16)
|
100% |
519
97.2 IPS |
|
Image Classification (I8)
|
97% |
866
162.1 IPS |
|
Image Segmentation (F32)
|
100% |
643
10.7 IPS |
|
Image Segmentation (F16)
|
100% |
653
10.9 IPS |
|
Image Segmentation (I8)
|
98% |
748
12.5 IPS |
|
Pose Estimation (F32)
|
100% |
1211
1.47 IPS |
|
Pose Estimation (F16)
|
100% |
1048
1.27 IPS |
|
Pose Estimation (I8)
|
100% |
4790
5.80 IPS |
|
Object Detection (F32)
|
100% |
487
36.4 IPS |
|
Object Detection (F16)
|
100% |
537
40.1 IPS |
|
Object Detection (I8)
|
61% |
1151
86.0 IPS |
|
Face Detection (F32)
|
100% |
1145
13.6 IPS |
|
Face Detection (F16)
|
100% |
1126
13.4 IPS |
|
Face Detection (I8)
|
86% |
1886
22.4 IPS |
|
Depth Estimation (F32)
|
100% |
1146
8.89 IPS |
|
Depth Estimation (F16)
|
100% |
1156
8.97 IPS |
|
Depth Estimation (I8)
|
95% |
2152
16.7 IPS |
|
Style Transfer (F32)
|
100% |
2119
2.79 IPS |
|
Style Transfer (F16)
|
100% |
2129
2.80 IPS |
|
Style Transfer (I8)
|
98% |
4471
5.88 IPS |
|
Image Super-Resolution (F32)
|
100% |
739
26.4 IPS |
|
Image Super-Resolution (F16)
|
100% |
762
27.2 IPS |
|
Image Super-Resolution (I8)
|
98% |
2100
75.0 IPS |
|
Text Classification (F32)
|
100% |
574
825.1 IPS |
|
Text Classification (F16)
|
100% |
600
862.9 IPS |
|
Text Classification (I8)
|
92% |
426
612.7 IPS |
|
Machine Translation (F32)
|
100% |
1190
21.9 IPS |
|
Machine Translation (F16)
|
100% |
1139
21.0 IPS |
|
Machine Translation (I8)
|
64% |
437
8.04 IPS |