rockchip orangepi5ultra
Geekbench AI Score
411
Single Precision Score
502
Half Precision Score
484
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 12 2025 04:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | rockchip orangepi5ultra |
| Model ID | rockchip orangepi5ultra |
| 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 | 2 Cores @ 2.30 GHz |
| Cluster 3 | 2 Cores @ 2.35 GHz |
| Memory Information | |
|---|---|
| Size | 15.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
308
57.4 IPS |
|
|
Image Classification (HP)
|
100% |
439
81.6 IPS |
|
|
Image Classification (Q)
|
99% |
413
77.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
467
7.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
633
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
613
9.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
333
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
449
0.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
446
0.52 IPS |
|
|
Object Detection (SP)
|
100% |
225
17.8 IPS |
|
|
Object Detection (HP)
|
100% |
315
24.9 IPS |
|
|
Object Detection (Q)
|
83% |
309
25.0 IPS |
|
|
Face Detection (SP)
|
100% |
920
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
1126
13.4 IPS |
|
|
Face Detection (Q)
|
97% |
1045
12.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
635
4.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
716
5.52 IPS |
|
|
Depth Estimation (Q)
|
62% |
578
5.47 IPS |
|
|
Style Transfer (SP)
|
100% |
1501
1.93 IPS |
|
|
Style Transfer (HP)
|
100% |
1787
2.30 IPS |
|
|
Style Transfer (Q)
|
98% |
1780
2.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
291
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
359
13.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
352
13.0 IPS |
|
|
Text Classification (SP)
|
100% |
172
229.5 IPS |
|
|
Text Classification (HP)
|
100% |
171
228.1 IPS |
|
|
Text Classification (Q)
|
91% |
276
371.3 IPS |
|
|
Machine Translation (SP)
|
100% |
292
5.02 IPS |
|
|
Machine Translation (HP)
|
100% |
296
5.11 IPS |
|
|
Machine Translation (Q)
|
57% |
197
4.82 IPS |
