Handtop HTA11
Geekbench ML Score
83
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 28 2023 05:26 AM |
| Views | 25 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Handtop HTA11 |
| Model ID | Handtop HTA11 |
| Motherboard | Handtop |
| CPU Information | |
|---|---|
| Name | ARM MT6765V/CB |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 2.70 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
50
5.38 IPS |
|
|
Image Classification (F16)
|
100% |
57
6.07 IPS |
|
|
Image Classification (I8)
|
81% |
173
18.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
108
0.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
110
0.68 IPS |
|
|
Image Segmentation (I8)
|
89% |
380
2.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
54
0.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
57
0.23 IPS |
|
|
Pose Estimation (I8)
|
80% |
107
0.43 IPS |
|
|
Object Detection (F32)
|
100% |
76
2.67 IPS |
|
|
Object Detection (F16)
|
100% |
76
2.65 IPS |
|
|
Object Detection (I8)
|
52% |
178
6.26 IPS |
|
|
Face Detection (F32)
|
100% |
121
1.39 IPS |
|
|
Face Detection (F16)
|
100% |
122
1.40 IPS |
|
|
Face Detection (I8)
|
75% |
320
3.67 IPS |
|
|
Text Classification (F32)
|
100% |
73
28.8 IPS |
|
|
Text Classification (F16)
|
100% |
70
27.9 IPS |
|
|
Machine Translation (F32)
|
100% |
14
2.21 IPS |
|
|
Machine Translation (F16)
|
100% |
14
2.17 IPS |
