Upload Date | May 11 2021 12:20 PM |
Views | 3 |
System Information | |
---|---|
Operating System | Android 10 |
Model | LG G8 ThinQ |
Model ID | LGE LM-G850 |
Motherboard | msmnile |
Governor | schedutil |
CPU Information | |
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Name | Qualcomm Qualcomm |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
Base Frequency | 1.78 GHz |
Cluster 1 | 4 Cores @ 1.79 GHz |
Cluster 2 | 3 Cores @ 2.42 GHz |
Cluster 3 | 1 Core @ 2.84 GHz |
Memory Information | |
---|---|
Size | 5.38 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | NNAPI |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
384
41.1 IPS |
|
Image Classification (F16)
|
100% |
494
52.9 IPS |
|
Image Classification (I8)
|
80% |
922
98.8 IPS |
|
Image Segmentation (F32)
|
100% |
391
2.41 IPS |
|
Image Segmentation (F16)
|
100% |
404
2.50 IPS |
|
Image Segmentation (I8)
|
89% |
516
3.19 IPS |
|
Pose Estimation (F32)
|
100% |
361
1.46 IPS |
|
Pose Estimation (F16)
|
100% |
836
3.38 IPS |
|
Pose Estimation (I8)
|
80% |
205
0.83 IPS |
|
Object Detection (F32)
|
100% |
453
15.9 IPS |
|
Object Detection (F16)
|
100% |
555
19.5 IPS |
|
Object Detection (I8)
|
52% |
792
27.8 IPS |
|
Face Detection (F32)
|
100% |
808
9.28 IPS |
|
Face Detection (F16)
|
100% |
1000
11.5 IPS |
|
Face Detection (I8)
|
75% |
2769
31.8 IPS |
|
Text Classification (F32)
|
100% |
29
11.4 IPS |
|
Text Classification (F16)
|
100% |
29
11.3 IPS |
|
Machine Translation (F32)
|
100% |
291
44.9 IPS |
|
Machine Translation (F16)
|
100% |
289
44.5 IPS |