rockchip orangepi5pro
Geekbench AI Score
864
Single Precision Score
864
Half Precision Score
1703
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Hakim_Yusa |
| Upload Date | September 30 2024 03:04 PM |
| Views | 25 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
442
82.2 IPS |
|
|
Image Classification (HP)
|
100% |
461
85.7 IPS |
|
|
Image Classification (Q)
|
100% |
1165
216.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
547
8.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
547
8.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
1348
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1845
2.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1788
2.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
3364
3.99 IPS |
|
|
Object Detection (SP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (HP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (Q)
|
83% |
1070
86.5 IPS |
|
|
Face Detection (SP)
|
100% |
1260
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
1275
15.1 IPS |
|
|
Face Detection (Q)
|
95% |
2990
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
826
6.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
806
6.21 IPS |
|
|
Depth Estimation (Q)
|
64% |
2875
26.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3329
4.32 IPS |
|
|
Style Transfer (HP)
|
89% |
3319
4.31 IPS |
|
|
Style Transfer (Q)
|
98% |
7035
9.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
862
31.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
860
31.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1738
64.4 IPS |
|
|
Text Classification (SP)
|
100% |
466
621.8 IPS |
|
|
Text Classification (HP)
|
100% |
483
645.0 IPS |
|
|
Text Classification (Q)
|
88% |
827
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
787
13.6 IPS |
|
|
Machine Translation (Q)
|
50% |
419
14.9 IPS |
