[2019] Tablet: Dragon Touch Max10 [S5V-TABK10] incar MAX 10
Geekbench ML Score
55
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| User | inc7007 |
| Upload Date | August 20 2024 06:23 AM |
| Views | 2 |
System Information
| 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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
64
6.82 IPS |
|
|
Image Classification (F16)
|
100% |
64
6.83 IPS |
|
|
Image Classification (I8)
|
81% |
70
7.52 IPS |
|
|
Image Segmentation (F32)
|
100% |
87
0.54 IPS |
|
|
Image Segmentation (F16)
|
100% |
87
0.54 IPS |
|
|
Image Segmentation (I8)
|
89% |
100
0.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
48
0.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
47
0.19 IPS |
|
|
Pose Estimation (I8)
|
80% |
41
0.17 IPS |
|
|
Object Detection (F32)
|
100% |
96
3.36 IPS |
|
|
Object Detection (F16)
|
100% |
97
3.40 IPS |
|
|
Object Detection (I8)
|
52% |
168
5.89 IPS |
|
|
Face Detection (F32)
|
100% |
91
1.05 IPS |
|
|
Face Detection (F16)
|
100% |
92
1.05 IPS |
|
|
Face Detection (I8)
|
75% |
94
1.08 IPS |
|
|
Text Classification (F32)
|
100% |
15
5.89 IPS |
|
|
Text Classification (F16)
|
100% |
15
5.85 IPS |
|
|
Machine Translation (F32)
|
100% |
17
2.65 IPS |
|
|
Machine Translation (F16)
|
100% |
17
2.65 IPS |
