rockchip rk3568_r104wt
Geekbench ML Score
52
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | April 26 2025 02:41 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | rockchip rk3568_r104wt |
| Model ID | rockchip rk3568_r104wt |
| Motherboard | rk30sdk |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | ARM Rockchip |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3333 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 3.80 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
46
4.95 IPS |
|
|
Image Classification (F16)
|
100% |
46
4.95 IPS |
|
|
Image Classification (I8)
|
81% |
51
5.43 IPS |
|
|
Image Segmentation (F32)
|
100% |
88
0.55 IPS |
|
|
Image Segmentation (F16)
|
100% |
88
0.54 IPS |
|
|
Image Segmentation (I8)
|
89% |
94
0.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
41
0.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
41
0.17 IPS |
|
|
Pose Estimation (I8)
|
80% |
14
0.06 IPS |
|
|
Object Detection (F32)
|
100% |
72
2.52 IPS |
|
|
Object Detection (F16)
|
100% |
72
2.51 IPS |
|
|
Object Detection (I8)
|
52% |
71
2.50 IPS |
|
|
Face Detection (F32)
|
100% |
83
0.96 IPS |
|
|
Face Detection (F16)
|
100% |
83
0.95 IPS |
|
|
Face Detection (I8)
|
75% |
77
0.88 IPS |
|
|
Text Classification (F32)
|
100% |
83
32.9 IPS |
|
|
Text Classification (F16)
|
100% |
83
33.0 IPS |
|
|
Machine Translation (F32)
|
100% |
14
2.11 IPS |
|
|
Machine Translation (F16)
|
100% |
14
2.12 IPS |
