TINNO U616AT
Geekbench ML Score
78
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 14 2023 12:37 AM |
| Views | 104 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | TINNO U616AT |
| Model ID | TINNO U616AT |
| Motherboard | U616AT |
| CPU Information | |
|---|---|
| Name | ARM MT6761V/CAB |
| 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 | 2.72 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
55
5.87 IPS |
|
|
Image Classification (F16)
|
100% |
55
5.90 IPS |
|
|
Image Classification (I8)
|
81% |
194
20.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
101
0.62 IPS |
|
|
Image Segmentation (F16)
|
100% |
103
0.63 IPS |
|
|
Image Segmentation (I8)
|
89% |
350
2.16 IPS |
|
|
Pose Estimation (F32)
|
100% |
36
0.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
36
0.15 IPS |
|
|
Pose Estimation (I8)
|
80% |
73
0.30 IPS |
|
|
Object Detection (F32)
|
100% |
76
2.67 IPS |
|
|
Object Detection (F16)
|
100% |
75
2.65 IPS |
|
|
Object Detection (I8)
|
52% |
185
6.50 IPS |
|
|
Face Detection (F32)
|
100% |
109
1.26 IPS |
|
|
Face Detection (F16)
|
100% |
109
1.25 IPS |
|
|
Face Detection (I8)
|
75% |
285
3.28 IPS |
|
|
Text Classification (F32)
|
100% |
76
30.0 IPS |
|
|
Text Classification (F16)
|
100% |
76
29.9 IPS |
|
|
Machine Translation (F32)
|
100% |
16
2.44 IPS |
|
|
Machine Translation (F16)
|
100% |
16
2.45 IPS |
