brcm Raspberry Pi 5
Geekbench ML Score
203
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 09 2024 06:49 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | brcm Raspberry Pi 5 |
| Model ID | brcm Raspberry Pi 5 |
| Motherboard | rpi5 |
| 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 | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.75 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
86
16.1 IPS |
|
|
Image Classification (F16)
|
100% |
84
15.8 IPS |
|
|
Image Classification (I8)
|
97% |
212
39.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
142
2.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
140
2.34 IPS |
|
|
Image Segmentation (I8)
|
98% |
352
5.88 IPS |
|
|
Pose Estimation (F32)
|
100% |
215
0.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
215
0.26 IPS |
|
|
Pose Estimation (I8)
|
100% |
848
1.03 IPS |
|
|
Object Detection (F32)
|
100% |
94
7.00 IPS |
|
|
Object Detection (F16)
|
100% |
98
7.32 IPS |
|
|
Object Detection (I8)
|
61% |
259
19.3 IPS |
|
|
Face Detection (F32)
|
100% |
156
1.85 IPS |
|
|
Face Detection (F16)
|
100% |
155
1.84 IPS |
|
|
Face Detection (I8)
|
86% |
465
5.52 IPS |
|
|
Depth Estimation (F32)
|
100% |
157
1.22 IPS |
|
|
Depth Estimation (F16)
|
100% |
148
1.14 IPS |
|
|
Depth Estimation (I8)
|
95% |
418
3.24 IPS |
|
|
Style Transfer (F32)
|
100% |
255
0.34 IPS |
|
|
Style Transfer (F16)
|
100% |
259
0.34 IPS |
|
|
Style Transfer (I8)
|
98% |
914
1.20 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
98
3.49 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
92
3.30 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
447
15.9 IPS |
|
|
Text Classification (F32)
|
100% |
257
369.6 IPS |
|
|
Text Classification (F16)
|
100% |
294
422.2 IPS |
|
|
Text Classification (I8)
|
92% |
233
335.5 IPS |
|
|
Machine Translation (F32)
|
100% |
174
3.21 IPS |
|
|
Machine Translation (F16)
|
100% |
165
3.04 IPS |
|
|
Machine Translation (I8)
|
64% |
133
2.45 IPS |
