rockchip BlueBerry
Geekbench ML Score
215
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 06 2022 03:47 AM |
| Views | 3 |
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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
164
17.6 IPS |
|
|
Image Classification (F16)
|
100% |
142
15.2 IPS |
|
|
Image Classification (I8)
|
81% |
186
19.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
268
1.65 IPS |
|
|
Image Segmentation (F16)
|
100% |
252
1.56 IPS |
|
|
Image Segmentation (I8)
|
89% |
341
2.11 IPS |
|
|
Pose Estimation (F32)
|
100% |
176
0.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
170
0.69 IPS |
|
|
Pose Estimation (I8)
|
80% |
56
0.22 IPS |
|
|
Object Detection (F32)
|
100% |
152
5.34 IPS |
|
|
Object Detection (F16)
|
100% |
150
5.25 IPS |
|
|
Object Detection (I8)
|
52% |
224
7.87 IPS |
|
|
Face Detection (F32)
|
100% |
248
2.85 IPS |
|
|
Face Detection (F16)
|
100% |
240
2.76 IPS |
|
|
Face Detection (I8)
|
75% |
254
2.92 IPS |
|
|
Text Classification (F32)
|
100% |
454
179.7 IPS |
|
|
Text Classification (F16)
|
100% |
454
179.5 IPS |
|
|
Machine Translation (F32)
|
100% |
318
49.1 IPS |
|
|
Machine Translation (F16)
|
100% |
263
40.6 IPS |
