Coosea SL101AE
Geekbench ML Score
77
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 16 2023 07:42 AM |
| Views | 343 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Coosea SL101AE |
| Model ID | Coosea SL101AE |
| Motherboard | SL101AE |
| CPU Information | |
|---|---|
| Name | ARM MT6761V/WBB |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 2.76 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
54
5.82 IPS |
|
|
Image Classification (F16)
|
100% |
55
5.88 IPS |
|
|
Image Classification (I8)
|
81% |
180
19.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
101
0.63 IPS |
|
|
Image Segmentation (F16)
|
100% |
101
0.62 IPS |
|
|
Image Segmentation (I8)
|
89% |
328
2.03 IPS |
|
|
Pose Estimation (F32)
|
100% |
35
0.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
35
0.14 IPS |
|
|
Pose Estimation (I8)
|
80% |
70
0.28 IPS |
|
|
Object Detection (F32)
|
100% |
73
2.57 IPS |
|
|
Object Detection (F16)
|
100% |
74
2.60 IPS |
|
|
Object Detection (I8)
|
52% |
178
6.25 IPS |
|
|
Face Detection (F32)
|
100% |
112
1.29 IPS |
|
|
Face Detection (F16)
|
100% |
111
1.28 IPS |
|
|
Face Detection (I8)
|
75% |
267
3.07 IPS |
|
|
Text Classification (F32)
|
100% |
75
29.7 IPS |
|
|
Text Classification (F16)
|
100% |
75
29.8 IPS |
|
|
Machine Translation (F32)
|
100% |
16
2.51 IPS |
|
|
Machine Translation (F16)
|
100% |
16
2.51 IPS |
