Dialn X62
Geekbench ML Score
71
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 06 2023 11:20 PM |
| Views | 37 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Dialn X62 |
| Model ID | Dialn X62 |
| Motherboard | X62 |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
57
6.09 IPS |
|
|
Image Classification (F16)
|
61% |
98
10.5 IPS |
|
|
Image Classification (I8)
|
79% |
84
8.97 IPS |
|
|
Image Segmentation (F32)
|
100% |
85
0.53 IPS |
|
|
Image Segmentation (F16)
|
100% |
86
0.53 IPS |
|
|
Image Segmentation (I8)
|
89% |
51
0.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
49
0.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
87
0.35 IPS |
|
|
Pose Estimation (I8)
|
87% |
85
0.34 IPS |
|
|
Object Detection (F32)
|
100% |
63
2.20 IPS |
|
|
Object Detection (F16)
|
60% |
100
3.50 IPS |
|
|
Object Detection (I8)
|
45% |
95
3.34 IPS |
|
|
Face Detection (F32)
|
100% |
63
0.72 IPS |
|
|
Face Detection (F16)
|
96% |
203
2.33 IPS |
|
|
Face Detection (I8)
|
75% |
151
1.73 IPS |
|
|
Text Classification (F32)
|
100% |
84
33.4 IPS |
|
|
Text Classification (F16)
|
54% |
137
54.0 IPS |
|
|
Machine Translation (F32)
|
100% |
15
2.29 IPS |
|
|
Machine Translation (F16)
|
100% |
15
2.28 IPS |
