Upload Date | October 29 2022 10:05 PM |
Views | 1 |
System Information | |
---|---|
Operating System | Android 13 |
Model | samsung SM-S908B |
Model ID | samsung SM-S908B |
Motherboard | s5e9925 |
Governor | energy_aware |
CPU Information | |
---|---|
Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
Base Frequency | 1.82 GHz |
Cluster 1 | 4 Cores @ 1.82 GHz |
Cluster 2 | 3 Cores @ 2.52 GHz |
Cluster 3 | 1 Core @ 2.80 GHz |
Memory Information | |
---|---|
Size | 10.27 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
327
35.0 IPS |
|
Image Classification (F16)
|
100% |
246
26.3 IPS |
|
Image Classification (I8)
|
81% |
168
18.0 IPS |
|
Image Segmentation (F32)
|
100% |
408
2.52 IPS |
|
Image Segmentation (F16)
|
100% |
414
2.56 IPS |
|
Image Segmentation (I8)
|
89% |
587
3.62 IPS |
|
Pose Estimation (F32)
|
100% |
208
0.84 IPS |
|
Pose Estimation (F16)
|
100% |
208
0.84 IPS |
|
Pose Estimation (I8)
|
80% |
158
0.64 IPS |
|
Object Detection (F32)
|
100% |
260
9.13 IPS |
|
Object Detection (F16)
|
100% |
252
8.86 IPS |
|
Object Detection (I8)
|
52% |
208
7.29 IPS |
|
Face Detection (F32)
|
100% |
422
4.85 IPS |
|
Face Detection (F16)
|
100% |
436
5.01 IPS |
|
Face Detection (I8)
|
75% |
387
4.44 IPS |
|
Text Classification (F32)
|
100% |
288
114.1 IPS |
|
Text Classification (F16)
|
100% |
311
122.9 IPS |
|
Machine Translation (F32)
|
100% |
573
88.3 IPS |
|
Machine Translation (F16)
|
100% |
572
88.2 IPS |