| Upload Date | December 08 2022 07:43 PM |
| Views | 1 |
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Google octopus |
| Model ID | Google octopus |
| Motherboard | bobba |
| CPU Information | |
|---|---|
| Name | placeholder |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 78 architecture 8 variant 2 part 0 revision 1 |
| Base Frequency | 0 MHz |
| Cluster 1 | 4 Cores @ 0.00 Hz |
| Memory Information | |
|---|---|
| Size | 2.70 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
102
10.9 IPS |
|
|
Image Classification (F16)
|
100% |
103
11.0 IPS |
|
|
Image Classification (I8)
|
81% |
76
8.16 IPS |
|
|
Image Segmentation (F32)
|
100% |
120
0.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
121
0.75 IPS |
|
|
Image Segmentation (I8)
|
89% |
151
0.94 IPS |
|
|
Pose Estimation (F32)
|
100% |
52
0.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
50
0.20 IPS |
|
|
Pose Estimation (I8)
|
80% |
37
0.15 IPS |
|
|
Object Detection (F32)
|
100% |
128
4.50 IPS |
|
|
Object Detection (F16)
|
100% |
127
4.45 IPS |
|
|
Object Detection (I8)
|
52% |
101
3.53 IPS |
|
|
Face Detection (F32)
|
100% |
165
1.90 IPS |
|
|
Face Detection (F16)
|
100% |
166
1.90 IPS |
|
|
Face Detection (I8)
|
75% |
101
1.15 IPS |
|
|
Text Classification (F32)
|
100% |
103
40.6 IPS |
|
|
Text Classification (F16)
|
100% |
104
41.2 IPS |
|
|
Machine Translation (F32)
|
100% |
142
21.9 IPS |
|
|
Machine Translation (F16)
|
100% |
145
22.4 IPS |
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