Raspberry Raspberry Pi 4
Geekbench ML Score
121
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | GyBHard |
| Upload Date | January 20 2022 05:39 AM |
| Views | 22 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Raspberry Raspberry Pi 4 |
| Model ID | Raspberry Raspberry Pi 4 |
| Motherboard | |
| Governor | performance |
| CPU Information | |
|---|---|
| Name | ARM BCM2835 |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3336 revision 3 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 4 Cores @ 1.50 GHz |
| Memory Information | |
|---|---|
| Size | 3.70 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
77
8.24 IPS |
|
|
Image Classification (F16)
|
100% |
77
8.28 IPS |
|
|
Image Classification (I8)
|
81% |
265
28.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
139
0.86 IPS |
|
|
Image Segmentation (F16)
|
100% |
143
0.88 IPS |
|
|
Image Segmentation (I8)
|
89% |
473
2.92 IPS |
|
|
Pose Estimation (F32)
|
100% |
51
0.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
52
0.21 IPS |
|
|
Pose Estimation (I8)
|
80% |
101
0.41 IPS |
|
|
Object Detection (F32)
|
100% |
103
3.61 IPS |
|
|
Object Detection (F16)
|
100% |
103
3.63 IPS |
|
|
Object Detection (I8)
|
52% |
251
8.82 IPS |
|
|
Face Detection (F32)
|
100% |
112
1.29 IPS |
|
|
Face Detection (F16)
|
100% |
114
1.31 IPS |
|
|
Face Detection (I8)
|
75% |
356
4.09 IPS |
|
|
Text Classification (F32)
|
100% |
133
52.7 IPS |
|
|
Text Classification (F16)
|
100% |
132
52.4 IPS |
|
|
Machine Translation (F32)
|
100% |
69
10.6 IPS |
|
|
Machine Translation (F16)
|
100% |
68
10.5 IPS |
