rockchip V7P
Geekbench ML Score
55
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 10 2023 04:13 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | rockchip V7P |
| Model ID | rockchip V7P |
| 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 | 1.99 GHz |
| Cluster 1 | 4 Cores @ 1.99 GHz |
| Memory Information | |
|---|---|
| Size | 3.80 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
52
5.52 IPS |
|
|
Image Classification (F16)
|
100% |
51
5.52 IPS |
|
|
Image Classification (I8)
|
81% |
55
5.85 IPS |
|
|
Image Segmentation (F32)
|
100% |
92
0.57 IPS |
|
|
Image Segmentation (F16)
|
100% |
92
0.57 IPS |
|
|
Image Segmentation (I8)
|
89% |
98
0.60 IPS |
|
|
Pose Estimation (F32)
|
100% |
38
0.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
38
0.15 IPS |
|
|
Pose Estimation (I8)
|
80% |
16
0.06 IPS |
|
|
Object Detection (F32)
|
100% |
70
2.44 IPS |
|
|
Object Detection (F16)
|
100% |
69
2.44 IPS |
|
|
Object Detection (I8)
|
52% |
67
2.36 IPS |
|
|
Face Detection (F32)
|
100% |
89
1.02 IPS |
|
|
Face Detection (F16)
|
100% |
89
1.02 IPS |
|
|
Face Detection (I8)
|
75% |
79
0.91 IPS |
|
|
Text Classification (F32)
|
100% |
87
34.5 IPS |
|
|
Text Classification (F16)
|
100% |
88
34.7 IPS |
|
|
Machine Translation (F32)
|
100% |
19
2.88 IPS |
|
|
Machine Translation (F16)
|
100% |
19
2.88 IPS |
