onn 100003562
Geekbench ML Score
74
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 09 2023 02:32 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | onn 100003562 |
| Model ID | onn 100003562 |
| Motherboard | mid1035a_mq |
| CPU Information | |
|---|---|
| Name | ARM MT8768WA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 1.50 GHz |
| Cluster 2 | 4 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 2.84 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
44
4.75 IPS |
|
|
Image Classification (F16)
|
100% |
51
5.46 IPS |
|
|
Image Classification (I8)
|
81% |
180
19.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
106
0.65 IPS |
|
|
Image Segmentation (F16)
|
100% |
103
0.64 IPS |
|
|
Image Segmentation (I8)
|
89% |
366
2.26 IPS |
|
|
Pose Estimation (F32)
|
100% |
53
0.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
54
0.22 IPS |
|
|
Pose Estimation (I8)
|
80% |
96
0.39 IPS |
|
|
Object Detection (F32)
|
100% |
75
2.64 IPS |
|
|
Object Detection (F16)
|
100% |
76
2.65 IPS |
|
|
Object Detection (I8)
|
52% |
159
5.57 IPS |
|
|
Face Detection (F32)
|
100% |
107
1.23 IPS |
|
|
Face Detection (F16)
|
100% |
107
1.23 IPS |
|
|
Face Detection (I8)
|
75% |
260
2.98 IPS |
|
|
Text Classification (F32)
|
100% |
61
24.3 IPS |
|
|
Text Classification (F16)
|
100% |
63
25.0 IPS |
|
|
Machine Translation (F32)
|
100% |
9
1.43 IPS |
|
|
Machine Translation (F16)
|
100% |
9
1.45 IPS |
