Upload Date | September 18 2024 03:50 AM |
Views | 1 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | GPU |
Device | ARM ARMv8 |
System Information | |
---|---|
Operating System | Android 13 |
Model | Google corsola |
Model ID | Google corsola |
Motherboard | kyogre |
Governor | schedutil |
CPU Information | |
---|---|
Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 3 part 3339 revision 0 |
Base Frequency | 2.00 GHz |
Cluster 1 | 6 Cores @ 2.00 GHz |
Cluster 2 | 2 Cores @ 2.05 GHz |
Memory Information | |
---|---|
Size | 6.99 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
59
11.0 IPS |
|
Image Classification (HP)
|
100% |
55
10.3 IPS |
|
Image Classification (Q)
|
99% |
54
10.1 IPS |
|
Image Segmentation (SP)
|
100% |
83
1.34 IPS |
|
Image Segmentation (HP)
|
100% |
80
1.30 IPS |
|
Image Segmentation (Q)
|
98% |
80
1.30 IPS |
|
Pose Estimation (SP)
|
100% |
60
0.07 IPS |
|
Pose Estimation (HP)
|
100% |
43
0.05 IPS |
|
Pose Estimation (Q)
|
97% |
43
0.05 IPS |
|
Object Detection (SP)
|
100% |
49
3.89 IPS |
|
Object Detection (HP)
|
100% |
47
3.72 IPS |
|
Object Detection (Q)
|
86% |
47
3.76 IPS |
|
Face Detection (SP)
|
100% |
168
1.99 IPS |
|
Face Detection (HP)
|
100% |
168
2.00 IPS |
|
Face Detection (Q)
|
97% |
163
1.94 IPS |
|
Depth Estimation (SP)
|
100% |
109
0.84 IPS |
|
Depth Estimation (HP)
|
99% |
92
0.71 IPS |
|
Depth Estimation (Q)
|
62% |
76
0.73 IPS |
|
Style Transfer (SP)
|
100% |
248
0.32 IPS |
|
Style Transfer (HP)
|
100% |
203
0.26 IPS |
|
Style Transfer (Q)
|
98% |
203
0.26 IPS |
|
Image Super-Resolution (SP)
|
100% |
65
2.41 IPS |
|
Image Super-Resolution (HP)
|
100% |
57
2.11 IPS |
|
Image Super-Resolution (Q)
|
97% |
57
2.10 IPS |
|
Text Classification (SP)
|
100% |
90
119.6 IPS |
|
Text Classification (HP)
|
100% |
89
119.3 IPS |
|
Text Classification (Q)
|
91% |
203
272.4 IPS |
|
Machine Translation (SP)
|
100% |
159
2.73 IPS |
|
Machine Translation (HP)
|
100% |
160
2.75 IPS |
|
Machine Translation (Q)
|
57% |
172
4.21 IPS |