Eoin / AI Mechanic Public
Target: Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz) Clone this project
Experiments 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

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

100 ms

256 kB

1024 kB

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100%
mfcc-conv1d-f37
Show logs
PERFORMANCE
LATENCY
13 ms of 100 ms
RAM
33 kB of 256 kB
ROM
194 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.032 | 0.032 | 40

ACCURACY (KERAS)

12/17/2021, 12:42:58 PM

100%
mfe-conv1d-ac9
Show logs
PERFORMANCE
LATENCY
44 ms of 100 ms
RAM
32 kB of 256 kB
ROM
62 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.032 | 0.016 | 40

ACCURACY (KERAS)

12/17/2021, 12:44:25 PM

100%
mfcc-conv2d-10f
Show logs
PERFORMANCE
LATENCY
28 ms of 100 ms
RAM
19 kB of 256 kB
ROM
34 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.05 | 0.05 | 32

ACCURACY (KERAS)

12/17/2021, 12:45:29 PM

100%
mfcc-conv1d-c25
Show logs
PERFORMANCE
LATENCY
47 ms of 100 ms
RAM
33 kB of 256 kB
ROM
169 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.05 | 0.025 | 32

ACCURACY (KERAS)

12/17/2021, 12:46:25 PM

100%
mfe-conv2d-6d4
Show logs
PERFORMANCE
LATENCY
92 ms of 100 ms
RAM
37 kB of 256 kB
ROM
102 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
250 ms |
Enabled

MFE

0.05 | 0.05 | 40

ACCURACY (KERAS)

12/17/2021, 12:49:06 PM

100%
mfe-conv2d-49f
Show logs
PERFORMANCE
LATENCY
221 ms of 100 ms
Exceeds target by 121 ms
RAM
29 kB of 256 kB
ROM
83 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
250 ms |
Enabled

MFE

0.05 | 0.05 | 40

ACCURACY (KERAS)

12/17/2021, 12:50:02 PM

50%
mfcc-conv1d-606
Show logs
PERFORMANCE
LATENCY
11 ms of 100 ms
RAM
21 kB of 256 kB
ROM
44 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
250 ms |
Enabled

MFCC

0.032 | 0.032 | 32

ACCURACY (KERAS)

12/17/2021, 12:49:38 PM

50%
mfe-conv1d-2db
Show logs
PERFORMANCE
LATENCY
16 ms of 100 ms
RAM
22 kB of 256 kB
ROM
77 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.032 | 0.032 | 40

ACCURACY (KERAS)

12/17/2021, 12:50:44 PM

50%
mfcc-conv1d-b7e
Show logs
PERFORMANCE
LATENCY
5 ms of 100 ms
RAM
20 kB of 256 kB
ROM
39 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
500 ms |
Enabled

MFCC

0.05 | 0.05 | 40

ACCURACY (KERAS)

12/17/2021, 12:37:37 PM

spectr-conv1d-42d
Show logs
PERFORMANCE
LATENCY
24 ms of 100 ms
RAM
24 kB of 256 kB
ROM
38 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
250 ms |
Enabled

SPECTROGRAM

0.025 | 0.025 | -32

ACCURACY (KERAS)

12/17/2021, 12:34:00 PM

mfe-conv1d-20f
Show logs
PERFORMANCE
LATENCY
24 ms of 100 ms
RAM
19 kB of 256 kB
ROM
0 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.032 | 0.016 | 40

ACCURACY (KERAS)

12/17/2021, 12:49:23 PM

mfcc-conv1d-8f3
Show logs
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
20 kB of 256 kB
ROM
36 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.05 | 0.05 | 32

ACCURACY (KERAS)

12/17/2021, 12:41:57 PM

mfcc-conv1d-1e7
Show logs
PERFORMANCE
LATENCY
17 ms of 100 ms
RAM
22 kB of 256 kB
ROM
44 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
250 ms |
Enabled

MFCC

0.05 | 0.05 | 40

ACCURACY (KERAS)

12/17/2021, 12:49:40 PM

mfe-conv2d-439
Show logs
PERFORMANCE
LATENCY
124 ms of 100 ms
Exceeds target by 24 ms
RAM
24 kB of 256 kB
ROM
35 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.032 | 0.032 | 40

ACCURACY (KERAS)

12/17/2021, 12:50:25 PM

mfcc-conv1d-5e2
Show logs
PERFORMANCE
LATENCY
6 ms of 100 ms
RAM
23 kB of 256 kB
ROM
46 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
250 ms |
Enabled

MFCC

0.05 | 0.05 | 32

ACCURACY (KERAS)

12/17/2021, 12:41:02 PM

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