Upload Date | August 19 2024 09:41 PM |
Views | 1 |
System Information | |
---|---|
Operating System | Android 12 |
Model | rockchip orangepi5b |
Model ID | rockchip orangepi5b |
Motherboard | rk30sdk |
Governor | schedutil |
CPU Information | |
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Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
Base Frequency | 1.80 GHz |
Cluster 1 | 4 Cores @ 1.80 GHz |
Cluster 2 | 4 Cores @ 2.26 GHz |
Memory Information | |
---|---|
Size | 15.57 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | NNAPI |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
152
16.3 IPS |
|
Image Classification (F16)
|
100% |
138
14.8 IPS |
|
Image Classification (I8)
|
81% |
192
20.5 IPS |
|
Image Segmentation (F32)
|
100% |
333
2.05 IPS |
|
Image Segmentation (F16)
|
100% |
344
2.13 IPS |
|
Image Segmentation (I8)
|
89% |
346
2.14 IPS |
|
Pose Estimation (F32)
|
100% |
199
0.80 IPS |
|
Pose Estimation (F16)
|
100% |
196
0.79 IPS |
|
Pose Estimation (I8)
|
80% |
58
0.23 IPS |
|
Object Detection (F32)
|
100% |
211
7.41 IPS |
|
Object Detection (F16)
|
100% |
207
7.25 IPS |
|
Object Detection (I8)
|
52% |
267
9.39 IPS |
|
Face Detection (F32)
|
100% |
302
3.47 IPS |
|
Face Detection (F16)
|
100% |
322
3.70 IPS |
|
Face Detection (I8)
|
75% |
264
3.03 IPS |
|
Text Classification (F32)
|
100% |
482
190.8 IPS |
|
Text Classification (F16)
|
100% |
483
190.9 IPS |
|
Machine Translation (F32)
|
100% |
309
47.6 IPS |
|
Machine Translation (F16)
|
100% |
304
46.8 IPS |