Raspberry Pi 5 Model B Rev 1.0
Geekbench AI Score
104
Single Precision Score
126
Half Precision Score
125
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | December 23 2025 11:33 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
47
8.81 IPS |
|
|
Image Classification (HP)
|
100% |
66
12.3 IPS |
|
|
Image Classification (Q)
|
96% |
64
12.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
65
1.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
90
1.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
88
1.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
91
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
112
0.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
111
0.13 IPS |
|
|
Object Detection (SP)
|
100% |
37
2.97 IPS |
|
|
Object Detection (HP)
|
100% |
48
3.79 IPS |
|
|
Object Detection (Q)
|
86% |
46
3.66 IPS |
|
|
Face Detection (SP)
|
100% |
128
1.52 IPS |
|
|
Face Detection (HP)
|
100% |
165
1.96 IPS |
|
|
Face Detection (Q)
|
96% |
156
1.87 IPS |
|
|
Depth Estimation (SP)
|
100% |
108
0.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
128
0.99 IPS |
|
|
Depth Estimation (Q)
|
63% |
105
0.99 IPS |
|
|
Style Transfer (SP)
|
100% |
275
0.35 IPS |
|
|
Style Transfer (HP)
|
100% |
334
0.43 IPS |
|
|
Style Transfer (Q)
|
98% |
332
0.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
63
2.33 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
77
2.84 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
75
2.79 IPS |
|
|
Text Classification (SP)
|
100% |
207
276.2 IPS |
|
|
Text Classification (HP)
|
100% |
205
273.5 IPS |
|
|
Text Classification (Q)
|
91% |
362
487.1 IPS |
|
|
Machine Translation (SP)
|
100% |
297
5.12 IPS |
|
|
Machine Translation (HP)
|
100% |
290
5.00 IPS |
|
|
Machine Translation (Q)
|
57% |
235
5.74 IPS |
