rockchip RK3566 Car
Geekbench AI Score
107
Single Precision Score
108
Half Precision Score
233
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 30 2025 11:07 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM rockchip,rk3568 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | rockchip RK3566 Car |
| Model ID | rockchip RK3566 Car |
| Motherboard | rk30sdk |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | ARM rockchip,rk3568 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
53
9.87 IPS |
|
|
Image Classification (HP)
|
100% |
53
9.84 IPS |
|
|
Image Classification (Q)
|
100% |
147
27.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
70
1.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
74
1.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
215
3.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
245
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
255
0.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
503
0.60 IPS |
|
|
Object Detection (SP)
|
100% |
53
4.19 IPS |
|
|
Object Detection (HP)
|
100% |
54
4.31 IPS |
|
|
Object Detection (Q)
|
83% |
150
12.2 IPS |
|
|
Face Detection (SP)
|
100% |
132
1.57 IPS |
|
|
Face Detection (HP)
|
100% |
141
1.67 IPS |
|
|
Face Detection (Q)
|
95% |
362
4.32 IPS |
|
|
Depth Estimation (SP)
|
100% |
165
1.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
167
1.29 IPS |
|
|
Depth Estimation (Q)
|
64% |
381
3.49 IPS |
|
|
Style Transfer (SP)
|
89% |
516
0.67 IPS |
|
|
Style Transfer (HP)
|
89% |
524
0.68 IPS |
|
|
Style Transfer (Q)
|
98% |
1018
1.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
91
3.37 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
92
3.38 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
250
9.28 IPS |
|
|
Text Classification (SP)
|
100% |
50
67.2 IPS |
|
|
Text Classification (HP)
|
100% |
47
63.3 IPS |
|
|
Text Classification (Q)
|
88% |
105
141.5 IPS |
|
|
Machine Translation (SP)
|
100% |
81
1.40 IPS |
|
|
Machine Translation (HP)
|
100% |
82
1.41 IPS |
|
|
Machine Translation (Q)
|
50% |
56
1.97 IPS |
