Waydroid Raspberry Pi 5 Model B Rev 1.0
Geekbench AI Score
192
Single Precision Score
200
Half Precision Score
488
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | rothomp3 |
| Upload Date | August 20 2025 03:29 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Waydroid Raspberry Pi 5 Model B Rev 1.0 |
| Model ID | Waydroid Raspberry Pi 5 Model B Rev 1.0 |
| Motherboard | |
| Governor | ondemand |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
125
23.2 IPS |
|
|
Image Classification (HP)
|
100% |
123
22.9 IPS |
|
|
Image Classification (Q)
|
99% |
332
61.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
131
2.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
156
2.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
340
5.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
186
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
227
0.27 IPS |
|
|
Pose Estimation (Q)
|
98% |
905
1.06 IPS |
|
|
Object Detection (SP)
|
100% |
139
11.0 IPS |
|
|
Object Detection (HP)
|
100% |
139
11.0 IPS |
|
|
Object Detection (Q)
|
87% |
395
31.7 IPS |
|
|
Face Detection (SP)
|
100% |
271
3.22 IPS |
|
|
Face Detection (HP)
|
100% |
273
3.24 IPS |
|
|
Face Detection (Q)
|
97% |
730
8.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
207
1.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
204
1.57 IPS |
|
|
Depth Estimation (Q)
|
64% |
580
5.26 IPS |
|
|
Style Transfer (SP)
|
100% |
353
0.45 IPS |
|
|
Style Transfer (HP)
|
100% |
378
0.49 IPS |
|
|
Style Transfer (Q)
|
98% |
907
1.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
131
4.82 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
130
4.80 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
532
19.7 IPS |
|
|
Text Classification (SP)
|
100% |
208
277.1 IPS |
|
|
Text Classification (HP)
|
100% |
211
281.7 IPS |
|
|
Text Classification (Q)
|
91% |
363
487.6 IPS |
|
|
Machine Translation (SP)
|
100% |
301
5.18 IPS |
|
|
Machine Translation (HP)
|
100% |
301
5.18 IPS |
|
|
Machine Translation (Q)
|
57% |
257
6.27 IPS |
