Raspberry Pi 5 Model B Rev 1.0
Geekbench AI Score
209
Single Precision Score
209
Half Precision Score
496
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | December 23 2025 10:42 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Raspberry Pi 5 Model B Rev 1.0 |
| Model ID | Raspberry Pi 5 Model B Rev 1.0 |
| Motherboard | bcm2712 |
| Governor | performance |
| 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 | 7.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
137
25.5 IPS |
|
|
Image Classification (HP)
|
100% |
139
25.8 IPS |
|
|
Image Classification (Q)
|
99% |
327
61.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
186
3.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
187
3.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
369
6.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
232
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
229
0.27 IPS |
|
|
Pose Estimation (Q)
|
98% |
878
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (HP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (Q)
|
87% |
357
28.6 IPS |
|
|
Face Detection (SP)
|
100% |
295
3.51 IPS |
|
|
Face Detection (HP)
|
100% |
293
3.49 IPS |
|
|
Face Detection (Q)
|
97% |
714
8.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
244
1.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
242
1.87 IPS |
|
|
Depth Estimation (Q)
|
64% |
636
5.77 IPS |
|
|
Style Transfer (SP)
|
100% |
386
0.50 IPS |
|
|
Style Transfer (HP)
|
100% |
383
0.49 IPS |
|
|
Style Transfer (Q)
|
98% |
1210
1.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
125
4.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
125
4.62 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
530
19.6 IPS |
|
|
Text Classification (SP)
|
100% |
205
273.7 IPS |
|
|
Text Classification (HP)
|
100% |
204
272.2 IPS |
|
|
Text Classification (Q)
|
91% |
362
486.8 IPS |
|
|
Machine Translation (SP)
|
100% |
291
5.02 IPS |
|
|
Machine Translation (HP)
|
100% |
290
5.00 IPS |
|
|
Machine Translation (Q)
|
57% |
230
5.61 IPS |
