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 #3

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

100 ms

256 kB

1024 kB

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General

F1-score

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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)
86%
mfe-conv1d-185
PERFORMANCE
LATENCY
244 ms of 100 ms
Exceeds target by 144 ms
RAM
25 kB of 256 kB
ROM
36 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 | 86%

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

3/25/2025, 12:20:52 PM

86%
mfe-conv1d-242
PERFORMANCE
LATENCY
125 ms of 100 ms
Exceeds target by 25 ms
RAM
16 kB of 256 kB
ROM
35 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
2000 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 86%

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

3/25/2025, 12:19:06 PM

86%
mfe-conv1d-97d
PERFORMANCE
LATENCY
132 ms of 100 ms
Exceeds target by 32 ms
RAM
20 kB of 256 kB
ROM
70 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
2000 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 86%

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

3/25/2025, 12:09:40 PM

85%
mfe-conv1d-139
View
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
5 kB of 256 kB
ROM
32 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
500 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 85%

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

3/25/2025, 12:19:16 PM

84%
mfe-conv1d-696
PERFORMANCE
LATENCY
127 ms of 100 ms
Exceeds target by 27 ms
RAM
17 kB of 256 kB
ROM
35 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
1000 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 84%

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

3/25/2025, 12:13:09 PM

84%
mfe-conv1d-1ba
PERFORMANCE
LATENCY
245 ms of 100 ms
Exceeds target by 145 ms
RAM
25 kB of 256 kB
ROM
36 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 | 84%

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

3/25/2025, 12:21:56 PM

84%
mfcc-conv1d-952
PERFORMANCE
LATENCY
235 ms of 100 ms
Exceeds target by 135 ms
RAM
23 kB of 256 kB
ROM
69 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
500 ms |
Enabled

MFCC

0.05 | 0.05 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 84%

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

3/25/2025, 12:14:23 PM

75%
mfe-conv1d-69b
PERFORMANCE
LATENCY
5 ms of 100 ms
RAM
6 kB of 256 kB
ROM
35 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
2000 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 75%

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

3/25/2025, 12:09:38 PM

74%
mfe-conv1d-4ec
PERFORMANCE
LATENCY
245 ms of 100 ms
Exceeds target by 145 ms
RAM
25 kB of 256 kB
ROM
36 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
1000 ms |
Enabled

MFE

0.05 | 0.025 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 74%

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

3/25/2025, 12:13:24 PM

72%
mfcc-conv1d-d3d
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
4 kB of 256 kB
ROM
34 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
2000 ms |
Enabled

MFCC

0.05 | 0.05 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 72%

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

3/25/2025, 12:18:48 PM

71%
spectr-conv2d-e0d
PERFORMANCE
LATENCY
150 ms of 100 ms
Exceeds target by 50 ms
RAM
31 kB of 256 kB
ROM
39 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
500 ms |
Enabled

SPECTROGRAM

0.075 | 0.075 | -72

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 71%

Type Filters Kernel Rate
conv2d 8 3 -
conv2d 16 3 -
dropout - - 0.5

3/25/2025, 12:20:03 PM

71%
mfcc-conv1d-8db
PERFORMANCE
LATENCY
306 ms of 100 ms
Exceeds target by 206 ms
RAM
22 kB of 256 kB
ROM
70 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
1000 ms |
Enabled

MFCC

0.05 | 0.05 | 40

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 71%

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

3/25/2025, 12:16:17 PM

70%
mfcc-conv1d-eff
PERFORMANCE
LATENCY
222 ms of 100 ms
Exceeds target by 122 ms
RAM
18 kB of 256 kB
ROM
32 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
1000 ms |
Enabled

MFCC

0.05 | 0.05 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 70%

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

3/25/2025, 12:22:33 PM

68%
mfe-conv1d-367
PERFORMANCE
LATENCY
7 ms of 100 ms
RAM
9 kB of 256 kB
ROM
36 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
1000 ms |
Enabled

MFE

0.05 | 0.025 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 68%

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

3/25/2025, 12:19:57 PM

65%
mfe-conv1d-608
PERFORMANCE
LATENCY
124 ms of 100 ms
Exceeds target by 24 ms
RAM
16 kB of 256 kB
ROM
35 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
500 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 65%

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

3/25/2025, 12:15:07 PM

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