Raspberry Pi 5 Model B Rev 1.0
Geekbench AI Score
219
Single Precision Score
218
Half Precision Score
127
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | Zerogreat |
| Upload Date | July 16 2025 01:29 PM |
| Views | 34 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Box64 on Cortex-A76 @2.40 GHz |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Raspberry Pi 5 Model B Rev 1.0 |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | Box64 on Cortex-A76 @2.40 GHz |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 70 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
120
22.3 IPS |
|
|
Image Classification (HP)
|
100% |
118
21.9 IPS |
|
|
Image Classification (Q)
|
99% |
63
11.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
197
3.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
197
3.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
105
1.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
268
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
259
0.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
185
0.22 IPS |
|
|
Object Detection (SP)
|
100% |
142
11.2 IPS |
|
|
Object Detection (HP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (Q)
|
85% |
84
6.75 IPS |
|
|
Face Detection (SP)
|
100% |
290
3.44 IPS |
|
|
Face Detection (HP)
|
100% |
288
3.42 IPS |
|
|
Face Detection (Q)
|
97% |
199
2.37 IPS |
|
|
Depth Estimation (SP)
|
100% |
269
2.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
268
2.07 IPS |
|
|
Depth Estimation (Q)
|
63% |
171
1.60 IPS |
|
|
Style Transfer (SP)
|
100% |
389
0.50 IPS |
|
|
Style Transfer (HP)
|
100% |
387
0.50 IPS |
|
|
Style Transfer (Q)
|
98% |
460
0.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
140
5.15 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
142
5.24 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
109
4.04 IPS |
|
|
Text Classification (SP)
|
100% |
237
316.5 IPS |
|
|
Text Classification (HP)
|
100% |
238
317.6 IPS |
|
|
Text Classification (Q)
|
92% |
81
109.1 IPS |
|
|
Machine Translation (SP)
|
100% |
287
4.94 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (Q)
|
58% |
78
1.83 IPS |
