rockchip orangepi5pro
Geekbench AI Score
409
Single Precision Score
498
Half Precision Score
481
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Hakim_Yusa |
| Upload Date | September 30 2024 03:19 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
311
57.9 IPS |
|
|
Image Classification (HP)
|
100% |
429
79.8 IPS |
|
|
Image Classification (Q)
|
99% |
405
75.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
450
7.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
599
9.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
586
9.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
336
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
451
0.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
448
0.52 IPS |
|
|
Object Detection (SP)
|
100% |
244
19.4 IPS |
|
|
Object Detection (HP)
|
100% |
347
27.5 IPS |
|
|
Object Detection (Q)
|
83% |
337
27.3 IPS |
|
|
Face Detection (SP)
|
100% |
933
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
1150
13.7 IPS |
|
|
Face Detection (Q)
|
97% |
1058
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
648
4.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
710
5.47 IPS |
|
|
Depth Estimation (Q)
|
62% |
567
5.37 IPS |
|
|
Style Transfer (SP)
|
100% |
1476
1.90 IPS |
|
|
Style Transfer (HP)
|
100% |
1789
2.30 IPS |
|
|
Style Transfer (Q)
|
98% |
1779
2.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
279
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
360
13.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
355
13.1 IPS |
|
|
Text Classification (SP)
|
100% |
161
214.4 IPS |
|
|
Text Classification (HP)
|
100% |
154
205.8 IPS |
|
|
Text Classification (Q)
|
91% |
280
376.0 IPS |
|
|
Machine Translation (SP)
|
100% |
289
4.98 IPS |
|
|
Machine Translation (HP)
|
100% |
292
5.03 IPS |
|
|
Machine Translation (Q)
|
57% |
178
4.35 IPS |
