rockchip rk3399_Android12
Geekbench AI Score
147
Single Precision Score
148
Half Precision Score
161
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 04 2024 10:26 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Rockchip |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | rockchip rk3399_Android12 |
| Model ID | rockchip rk3399_Android12 |
| Motherboard | rk30sdk |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | ARM Rockchip |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3336 revision 2 |
| Base Frequency | 1.42 GHz |
| Cluster 1 | 4 Cores @ 1.42 GHz |
| Cluster 2 | 2 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 1.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
74
13.7 IPS |
|
|
Image Classification (HP)
|
100% |
77
14.3 IPS |
|
|
Image Classification (Q)
|
100% |
122
22.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
91
1.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
91
1.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
146
2.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
307
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
310
0.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
217
0.26 IPS |
|
|
Object Detection (SP)
|
100% |
67
5.35 IPS |
|
|
Object Detection (HP)
|
100% |
68
5.39 IPS |
|
|
Object Detection (Q)
|
83% |
104
8.39 IPS |
|
|
Face Detection (SP)
|
100% |
198
2.35 IPS |
|
|
Face Detection (HP)
|
100% |
200
2.37 IPS |
|
|
Face Detection (Q)
|
95% |
242
2.89 IPS |
|
|
Depth Estimation (SP)
|
100% |
231
1.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
233
1.79 IPS |
|
|
Depth Estimation (Q)
|
64% |
225
2.06 IPS |
|
|
Style Transfer (SP)
|
89% |
547
0.71 IPS |
|
|
Style Transfer (HP)
|
89% |
544
0.71 IPS |
|
|
Style Transfer (Q)
|
98% |
560
0.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
130
4.81 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
131
4.83 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
128
4.75 IPS |
|
|
Text Classification (SP)
|
100% |
79
106.0 IPS |
|
|
Text Classification (HP)
|
100% |
80
107.4 IPS |
|
|
Text Classification (Q)
|
88% |
105
141.6 IPS |
|
|
Machine Translation (SP)
|
100% |
135
2.32 IPS |
|
|
Machine Translation (HP)
|
100% |
133
2.30 IPS |
|
|
Machine Translation (Q)
|
50% |
75
2.66 IPS |
