rockchip orangepi5pro
Geekbench AI Score
185
Single Precision Score
189
Half Precision Score
395
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Hakim_Yusa |
| Upload Date | September 30 2024 03:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | rockchip orangepi5pro |
| Model ID | rockchip orangepi5pro |
| Motherboard | rk30sdk |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.35 GHz |
| Memory Information | |
|---|---|
| Size | 15.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
107
19.9 IPS |
|
|
Image Classification (HP)
|
100% |
112
20.8 IPS |
|
|
Image Classification (Q)
|
99% |
250
46.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
143
2.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
153
2.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
282
4.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
199
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
196
0.23 IPS |
|
|
Pose Estimation (Q)
|
98% |
733
0.86 IPS |
|
|
Object Detection (SP)
|
100% |
105
8.31 IPS |
|
|
Object Detection (HP)
|
100% |
110
8.76 IPS |
|
|
Object Detection (Q)
|
87% |
264
21.2 IPS |
|
|
Face Detection (SP)
|
100% |
298
3.54 IPS |
|
|
Face Detection (HP)
|
100% |
302
3.59 IPS |
|
|
Face Detection (Q)
|
97% |
561
6.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
248
1.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
256
1.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
516
4.69 IPS |
|
|
Style Transfer (SP)
|
100% |
396
0.51 IPS |
|
|
Style Transfer (HP)
|
100% |
398
0.51 IPS |
|
|
Style Transfer (Q)
|
98% |
1140
1.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
115
4.24 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
117
4.31 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
413
15.3 IPS |
|
|
Text Classification (SP)
|
100% |
157
210.0 IPS |
|
|
Text Classification (HP)
|
100% |
154
205.0 IPS |
|
|
Text Classification (Q)
|
91% |
280
376.9 IPS |
|
|
Machine Translation (SP)
|
100% |
280
4.82 IPS |
|
|
Machine Translation (HP)
|
100% |
293
5.04 IPS |
|
|
Machine Translation (Q)
|
57% |
181
4.41 IPS |
