EON Tuner
The EON Tuner helps you find the most optimal architecture for your embedded machine-learning application. Clone this project to use the EON Tuner.
Target
No name set
Vision
SiLabs EFR32MG24 (Cortex-M33 78MHz)
300 ms
256 kB
1536 kB
Filters
Status
DSP type
Network type
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Data set
Precision
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General
F1-score
Precision
Recall
PERFORMANCE
LATENCY
1235 ms of
300 ms
Exceeds target by 935 ms
RAM
264 kB of
256 kB
Exceeds target by 8 kB
ROM
323 kB of
1536 kB
DSP
NN
Unused
INPUT
160 | 160
IMAGE
Grayscale
ACCURACY
TRANSFER LEARNING (IMAGES)
0.0005 | 40
MobileNetV1 0.25
64
|
0.05
|
4/10/2023, 12:40:49 PM
PERFORMANCE
LATENCY
1326 ms of
300 ms
Exceeds target by 1026 ms
RAM
264 kB of
256 kB
Exceeds target by 8 kB
ROM
311 kB of
1536 kB
DSP
NN
Unused
INPUT
160 | 160
IMAGE
Grayscale
ACCURACY
TRANSFER LEARNING (IMAGES)
0.0005 | 40
MobileNetV1 0.25
16
|
0.05
|
4/10/2023, 12:40:43 PM
Training output
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Click 'Run EON Tuner' to begin
