Tobias Lindhorst / Alerto2 Public
Target: Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz) Clone this project
Experiments EON Tuner
The EON Tuner helps you quickly run hyper-parameter sweeps that explore different pre-processing + model architectures optimized for your defined objectives. Clone this project to use the EON Tuner.

Target

Run #1

Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz)

100 ms

256 kB

1024 kB

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General

F1-score

Precision

Recall

Run #5 (Mar 25 2025, 13:02:33, finished) Run #4 (Mar 25 2025, 12:40:42, failed) Run #3 (Mar 25 2025, 12:06:07, failed) Run #2 (Mar 25 2025, 11:59:56, failed) Run #1 (Mar 25 2025, 11:49:34, failed)
82%
mfe-conv1d-32e
PERFORMANCE
LATENCY
255 ms of 100 ms
Exceeds target by 155 ms
RAM
28 kB of 256 kB
ROM
71 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
500 ms |
Enabled

MFE

0.05 | 0.025 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 82%

Type Filters Kernel Rate
Data augmentation
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
dropout - - 0.5

3/25/2025, 11:59:40 AM

0%
spectr-conv1d-01e
PERFORMANCE
LATENCY
47 ms of 100 ms
RAM
22 kB of 256 kB
ROM
73 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
2000 ms |
Enabled

SPECTROGRAM

0.075 | 0.075 | -72

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 0%

Type Filters Kernel Rate
Data augmentation
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
dropout - - 0.25

3/25/2025, 11:57:48 AM

0%
spectr-conv1d-84e
PERFORMANCE
LATENCY
205 ms of 100 ms
Exceeds target by 105 ms
RAM
67 kB of 256 kB
ROM
35 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
2000 ms |
Enabled

SPECTROGRAM

0.025 | 0.0125 | -52

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 0%

Type Filters Kernel Rate
Data augmentation
conv1d 8 3 -
conv1d 16 3 -
dropout - - 0.5

3/25/2025, 11:55:51 AM

spectr-conv1d-1de
PERFORMANCE
LATENCY
100 ms
RAM
256 kB
ROM
1024 kB
Unused
TIME-SERIES INPUT

2000 ms |
500 ms |
Enabled

SPECTROGRAM

0.075 | 0.075 | -32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100

Type Filters Kernel Rate
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
dropout - - 0.5

mfcc-conv1d-67a
PERFORMANCE
LATENCY
100 ms
RAM
256 kB
ROM
1024 kB
Unused
TIME-SERIES INPUT

2000 ms |
2000 ms |
Enabled

MFCC

0.032 | 0.032 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100

Type Filters Kernel Rate
conv1d 8 3 -
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
dropout - - 0.25

mfcc-conv1d-1d7
PERFORMANCE
LATENCY
100 ms
RAM
256 kB
ROM
1024 kB
Unused
TIME-SERIES INPUT

2000 ms |
1000 ms |
Enabled

MFCC

0.05 | 0.025 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100

Type Filters Kernel Rate
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
dropout - - 0.5

spectr-conv1d-6ef
PERFORMANCE
LATENCY
100 ms
RAM
256 kB
ROM
1024 kB
Unused
TIME-SERIES INPUT

2000 ms |
1000 ms |
Enabled

SPECTROGRAM

0.025 | 0.025 | -32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100

Type Filters Kernel Rate
conv1d 8 3 -
conv1d 16 3 -
dropout - - 0.25

mfe-conv1d-5ab
PERFORMANCE
LATENCY
100 ms
RAM
256 kB
ROM
1024 kB
Unused
TIME-SERIES INPUT

2000 ms |
2000 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100

Type Filters Kernel Rate
conv1d 8 3 -
conv1d 16 3 -
conv1d 32 3 -
dropout - - 0.5

spectr-conv1d-3d9
PERFORMANCE
LATENCY
100 ms
RAM
256 kB
ROM
1024 kB
Unused
TIME-SERIES INPUT

2000 ms |
500 ms |
Enabled

SPECTROGRAM

0.025 | 0.0125 | -72

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100

Type Filters Kernel Rate
Data augmentation
conv1d 8 3 -
conv1d 16 3 -
dropout - - 0.25

mfe-conv1d-406
PERFORMANCE
LATENCY
100 ms
RAM
256 kB
ROM
1024 kB
Unused
TIME-SERIES INPUT

2000 ms |
2000 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100

Type Filters Kernel Rate
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
dropout - - 0.25

mfe-conv1d-0ec
PERFORMANCE
LATENCY
100 ms
RAM
256 kB
ROM
1024 kB
Unused
TIME-SERIES INPUT

2000 ms |
500 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100

Type Filters Kernel Rate
conv1d 8 3 -
conv1d 16 3 -
dropout - - 0.25

spectr-conv1d-dba
PERFORMANCE
LATENCY
100 ms
RAM
256 kB
ROM
1024 kB
Unused
TIME-SERIES INPUT

2000 ms |
500 ms |
Enabled

SPECTROGRAM

0.025 | 0.025 | -32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100

Type Filters Kernel Rate
Data augmentation
conv1d 8 3 -
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
dropout - - 0.25

mfcc-conv1d-e0c
PERFORMANCE
LATENCY
100 ms
RAM
256 kB
ROM
1024 kB
Unused
TIME-SERIES INPUT

2000 ms |
1000 ms |
Enabled

MFCC

0.05 | 0.05 | 40

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100

Type Filters Kernel Rate
Data augmentation
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
dropout - - 0.25

mfe-conv1d-6cd
PERFORMANCE
LATENCY
100 ms
RAM
256 kB
ROM
1024 kB
Unused
TIME-SERIES INPUT

2000 ms |
1000 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100

Type Filters Kernel Rate
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
dropout - - 0.5

spectr-conv1d-471
PERFORMANCE
LATENCY
100 ms
RAM
256 kB
ROM
1024 kB
Unused
TIME-SERIES INPUT

2000 ms |
500 ms |
Enabled

SPECTROGRAM

0.025 | 0.025 | -32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100

Type Filters Kernel Rate
Data augmentation
conv1d 16 3 -
conv1d 32 3 -
dropout - - 0.5

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