rockchip rk3568_r104wt
Geekbench ML Score
77
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | April 26 2025 01:53 PM |
| Views | 6 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
51
5.44 IPS |
|
|
Image Classification (F16)
|
100% |
51
5.43 IPS |
|
|
Image Classification (I8)
|
81% |
164
17.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
105
0.65 IPS |
|
|
Image Segmentation (F16)
|
100% |
105
0.65 IPS |
|
|
Image Segmentation (I8)
|
89% |
297
1.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
41
0.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
41
0.17 IPS |
|
|
Pose Estimation (I8)
|
80% |
59
0.24 IPS |
|
|
Object Detection (F32)
|
100% |
79
2.76 IPS |
|
|
Object Detection (F16)
|
100% |
79
2.76 IPS |
|
|
Object Detection (I8)
|
52% |
221
7.77 IPS |
|
|
Face Detection (F32)
|
100% |
110
1.26 IPS |
|
|
Face Detection (F16)
|
100% |
109
1.25 IPS |
|
|
Face Detection (I8)
|
75% |
243
2.80 IPS |
|
|
Text Classification (F32)
|
100% |
82
32.4 IPS |
|
|
Text Classification (F16)
|
100% |
83
32.7 IPS |
|
|
Machine Translation (F32)
|
100% |
14
2.11 IPS |
|
|
Machine Translation (F16)
|
100% |
14
2.11 IPS |
