rockchip V7P
Geekbench ML Score
110
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 10 2023 03:56 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
64
6.83 IPS |
|
|
Image Classification (F16)
|
100% |
142
15.2 IPS |
|
|
Image Classification (I8)
|
81% |
134
14.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
110
0.68 IPS |
|
|
Image Segmentation (F16)
|
100% |
316
1.95 IPS |
|
|
Image Segmentation (I8)
|
89% |
307
1.90 IPS |
|
|
Pose Estimation (F32)
|
100% |
36
0.14 IPS |
|
|
Pose Estimation (F16)
|
0% |
138
0.56 IPS |
|
|
Pose Estimation (I8)
|
0% |
138
0.56 IPS |
|
|
Object Detection (F32)
|
100% |
67
2.35 IPS |
|
|
Object Detection (F16)
|
99% |
125
4.40 IPS |
|
|
Object Detection (I8)
|
54% |
123
4.32 IPS |
|
|
Face Detection (F32)
|
100% |
130
1.50 IPS |
|
|
Face Detection (F16)
|
97% |
297
3.41 IPS |
|
|
Face Detection (I8)
|
75% |
272
3.12 IPS |
|
|
Text Classification (F32)
|
100% |
94
37.1 IPS |
|
|
Text Classification (F16)
|
46% |
187
73.9 IPS |
|
|
Machine Translation (F32)
|
100% |
19
2.88 IPS |
|
|
Machine Translation (F16)
|
100% |
19
2.87 IPS |
