TCL 8051_EEA
Geekbench ML Score
35
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 03 2023 09:21 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 9 |
| Model | TCL 8051_EEA |
| Model ID | TCL 8051_EEA |
| Motherboard | ts6710_e37mme_64 |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | ARM MT8167D |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3332 revision 1 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 4 Cores @ 1.30 GHz |
| Memory Information | |
|---|---|
| Size | 1.42 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
28
3.02 IPS |
|
|
Image Classification (F16)
|
100% |
28
3.01 IPS |
|
|
Image Classification (I8)
|
81% |
83
8.88 IPS |
|
|
Image Segmentation (F32)
|
100% |
46
0.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
46
0.28 IPS |
|
|
Image Segmentation (I8)
|
89% |
146
0.90 IPS |
|
|
Pose Estimation (F32)
|
100% |
12
0.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
12
0.05 IPS |
|
|
Pose Estimation (I8)
|
80% |
29
0.12 IPS |
|
|
Object Detection (F32)
|
100% |
38
1.34 IPS |
|
|
Object Detection (F16)
|
100% |
38
1.33 IPS |
|
|
Object Detection (I8)
|
52% |
85
3.00 IPS |
|
|
Face Detection (F32)
|
100% |
54
0.62 IPS |
|
|
Face Detection (F16)
|
100% |
53
0.61 IPS |
|
|
Face Detection (I8)
|
75% |
126
1.45 IPS |
|
|
Text Classification (F32)
|
100% |
25
9.99 IPS |
|
|
Text Classification (F16)
|
100% |
27
10.8 IPS |
|
|
Machine Translation (F32)
|
100% |
11
1.72 IPS |
|
|
Machine Translation (F16)
|
100% |
11
1.72 IPS |
