rockchip orangepi5ultra
Geekbench AI Score
200
Single Precision Score
200
Half Precision Score
426
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 12 2025 04:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
120
22.3 IPS |
|
|
Image Classification (HP)
|
100% |
120
22.3 IPS |
|
|
Image Classification (Q)
|
99% |
268
50.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
159
2.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
160
2.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
292
4.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
214
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
213
0.25 IPS |
|
|
Pose Estimation (Q)
|
98% |
805
0.94 IPS |
|
|
Object Detection (SP)
|
100% |
119
9.42 IPS |
|
|
Object Detection (HP)
|
100% |
118
9.37 IPS |
|
|
Object Detection (Q)
|
87% |
294
23.5 IPS |
|
|
Face Detection (SP)
|
100% |
304
3.61 IPS |
|
|
Face Detection (HP)
|
100% |
308
3.66 IPS |
|
|
Face Detection (Q)
|
97% |
606
7.22 IPS |
|
|
Depth Estimation (SP)
|
100% |
258
1.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
258
1.99 IPS |
|
|
Depth Estimation (Q)
|
64% |
566
5.13 IPS |
|
|
Style Transfer (SP)
|
100% |
430
0.55 IPS |
|
|
Style Transfer (HP)
|
100% |
429
0.55 IPS |
|
|
Style Transfer (Q)
|
98% |
1278
1.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
126
4.64 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
125
4.63 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
455
16.8 IPS |
|
|
Text Classification (SP)
|
100% |
173
230.4 IPS |
|
|
Text Classification (HP)
|
100% |
172
229.3 IPS |
|
|
Text Classification (Q)
|
91% |
277
371.8 IPS |
|
|
Machine Translation (SP)
|
100% |
293
5.04 IPS |
|
|
Machine Translation (HP)
|
100% |
297
5.12 IPS |
|
|
Machine Translation (Q)
|
57% |
196
4.80 IPS |
