Waydroid Raspberry Pi 5 Model B Rev 1.0
Geekbench AI Score
99
Single Precision Score
120
Half Precision Score
120
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | rothomp3 |
| Upload Date | August 20 2025 02:46 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
45
8.29 IPS |
|
|
Image Classification (HP)
|
100% |
63
11.6 IPS |
|
|
Image Classification (Q)
|
96% |
61
11.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
62
1.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
86
1.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
84
1.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
85
0.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
105
0.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
104
0.12 IPS |
|
|
Object Detection (SP)
|
100% |
35
2.81 IPS |
|
|
Object Detection (HP)
|
100% |
45
3.61 IPS |
|
|
Object Detection (Q)
|
86% |
43
3.47 IPS |
|
|
Face Detection (SP)
|
100% |
120
1.43 IPS |
|
|
Face Detection (HP)
|
100% |
155
1.84 IPS |
|
|
Face Detection (Q)
|
96% |
148
1.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
102
0.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
121
0.93 IPS |
|
|
Depth Estimation (Q)
|
63% |
99
0.93 IPS |
|
|
Style Transfer (SP)
|
100% |
259
0.33 IPS |
|
|
Style Transfer (HP)
|
100% |
314
0.40 IPS |
|
|
Style Transfer (Q)
|
98% |
312
0.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60
2.20 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
72
2.67 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
71
2.65 IPS |
|
|
Text Classification (SP)
|
100% |
207
275.6 IPS |
|
|
Text Classification (HP)
|
100% |
202
269.7 IPS |
|
|
Text Classification (Q)
|
91% |
362
485.9 IPS |
|
|
Machine Translation (SP)
|
100% |
304
5.24 IPS |
|
|
Machine Translation (HP)
|
100% |
298
5.13 IPS |
|
|
Machine Translation (Q)
|
57% |
243
5.94 IPS |
