rockchip BlueBerry
Geekbench ML Score
261
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 06 2022 03:39 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | rockchip BlueBerry |
| Model ID | rockchip BlueBerry |
| Motherboard | rk30sdk |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 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 |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
154
16.4 IPS |
|
|
Image Classification (F16)
|
100% |
163
17.5 IPS |
|
|
Image Classification (I8)
|
81% |
215
23.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
297
1.83 IPS |
|
|
Image Segmentation (F16)
|
100% |
299
1.85 IPS |
|
|
Image Segmentation (I8)
|
89% |
645
3.98 IPS |
|
|
Pose Estimation (F32)
|
100% |
216
0.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
211
0.85 IPS |
|
|
Pose Estimation (I8)
|
80% |
172
0.70 IPS |
|
|
Object Detection (F32)
|
100% |
170
5.95 IPS |
|
|
Object Detection (F16)
|
100% |
176
6.17 IPS |
|
|
Object Detection (I8)
|
52% |
263
9.22 IPS |
|
|
Face Detection (F32)
|
100% |
295
3.38 IPS |
|
|
Face Detection (F16)
|
100% |
290
3.33 IPS |
|
|
Face Detection (I8)
|
75% |
431
4.95 IPS |
|
|
Text Classification (F32)
|
100% |
289
114.3 IPS |
|
|
Text Classification (F16)
|
100% |
448
177.3 IPS |
|
|
Machine Translation (F32)
|
100% |
330
50.9 IPS |
|
|
Machine Translation (F16)
|
100% |
284
43.8 IPS |
