TCL T602DL
Geekbench ML Score
78
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 27 2023 03:35 PM |
| Views | 47 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | TCL T602DL |
| Model ID | TCL T602DL |
| Motherboard | MT6761 |
| 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 | 2.74 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
54
5.81 IPS |
|
|
Image Classification (F16)
|
100% |
55
5.87 IPS |
|
|
Image Classification (I8)
|
81% |
187
20.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
103
0.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
103
0.64 IPS |
|
|
Image Segmentation (I8)
|
89% |
334
2.06 IPS |
|
|
Pose Estimation (F32)
|
100% |
36
0.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
36
0.15 IPS |
|
|
Pose Estimation (I8)
|
80% |
71
0.29 IPS |
|
|
Object Detection (F32)
|
100% |
76
2.65 IPS |
|
|
Object Detection (F16)
|
100% |
76
2.68 IPS |
|
|
Object Detection (I8)
|
52% |
183
6.43 IPS |
|
|
Face Detection (F32)
|
100% |
113
1.30 IPS |
|
|
Face Detection (F16)
|
100% |
113
1.30 IPS |
|
|
Face Detection (I8)
|
75% |
276
3.17 IPS |
|
|
Text Classification (F32)
|
100% |
75
29.5 IPS |
|
|
Text Classification (F16)
|
100% |
75
29.5 IPS |
|
|
Machine Translation (F32)
|
100% |
16
2.43 IPS |
|
|
Machine Translation (F16)
|
100% |
16
2.47 IPS |
