RaspberryPiFoundation rpi4
Geekbench AI Score
208
Single Precision Score
216
Half Precision Score
294
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 03 2025 02:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | RaspberryPiFoundation rpi4 |
| Model ID | RaspberryPiFoundation rpi4 |
| Motherboard | gd_rpi4 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3336 revision 3 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.61 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
112
20.8 IPS |
|
|
Image Classification (HP)
|
100% |
115
21.4 IPS |
|
|
Image Classification (Q)
|
100% |
216
40.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
135
2.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
136
2.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
272
4.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
448
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
476
0.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
472
0.56 IPS |
|
|
Object Detection (SP)
|
100% |
112
8.91 IPS |
|
|
Object Detection (HP)
|
100% |
121
9.60 IPS |
|
|
Object Detection (Q)
|
83% |
216
17.4 IPS |
|
|
Face Detection (SP)
|
100% |
249
2.96 IPS |
|
|
Face Detection (HP)
|
100% |
247
2.94 IPS |
|
|
Face Detection (Q)
|
95% |
443
5.29 IPS |
|
|
Depth Estimation (SP)
|
100% |
209
1.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
272
2.10 IPS |
|
|
Depth Estimation (Q)
|
64% |
437
4.01 IPS |
|
|
Style Transfer (SP)
|
89% |
905
1.17 IPS |
|
|
Style Transfer (HP)
|
89% |
892
1.16 IPS |
|
|
Style Transfer (Q)
|
98% |
860
1.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
159
5.89 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
159
5.86 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
255
9.45 IPS |
|
|
Text Classification (SP)
|
100% |
134
179.3 IPS |
|
|
Text Classification (HP)
|
100% |
129
172.1 IPS |
|
|
Text Classification (Q)
|
88% |
188
253.6 IPS |
|
|
Machine Translation (SP)
|
100% |
207
3.57 IPS |
|
|
Machine Translation (HP)
|
100% |
203
3.50 IPS |
|
|
Machine Translation (Q)
|
50% |
104
3.69 IPS |
