User | inc7007 |
Upload Date | August 17 2024 03:14 PM |
Views | 4 |
System Information | |
---|---|
Operating System | Android 9 |
Model | incar MAX 10 |
Model ID | incar MAX 10 |
Motherboard | sp9863a_2h10 |
Governor | schedutil |
CPU Information | |
---|---|
Name | ARM Unisoc |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 1 part 3333 revision 0 |
Base Frequency | 1.20 GHz |
Cluster 1 | 4 Cores @ 1.20 GHz |
Cluster 2 | 4 Cores @ 1.60 GHz |
Memory Information | |
---|---|
Size | 2.76 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
55
5.85 IPS |
|
Image Classification (F16)
|
100% |
56
6.01 IPS |
|
Image Classification (I8)
|
81% |
209
22.4 IPS |
|
Image Segmentation (F32)
|
100% |
111
0.69 IPS |
|
Image Segmentation (F16)
|
100% |
111
0.68 IPS |
|
Image Segmentation (I8)
|
89% |
375
2.32 IPS |
|
Pose Estimation (F32)
|
100% |
69
0.28 IPS |
|
Pose Estimation (F16)
|
100% |
67
0.27 IPS |
|
Pose Estimation (I8)
|
80% |
89
0.36 IPS |
|
Object Detection (F32)
|
100% |
102
3.59 IPS |
|
Object Detection (F16)
|
100% |
105
3.67 IPS |
|
Object Detection (I8)
|
52% |
294
10.3 IPS |
|
Face Detection (F32)
|
100% |
138
1.59 IPS |
|
Face Detection (F16)
|
100% |
138
1.58 IPS |
|
Face Detection (I8)
|
75% |
318
3.65 IPS |
|
Text Classification (F32)
|
100% |
71
28.2 IPS |
|
Text Classification (F16)
|
100% |
71
28.2 IPS |
|
Machine Translation (F32)
|
100% |
17
2.64 IPS |
|
Machine Translation (F16)
|
100% |
17
2.64 IPS |