Mateusz / CBM Fault Classifier Public
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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

Motion events

Nordic nRF9160 DK (Cortex-M33 64MHz)

1000 ms

256 kB

1024 kB

Filters

Status

DSP type

Network type

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Data set

Precision

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General

F1-score

Precision

Recall

83%
spectr-dense-0cd
Show logs
PERFORMANCE
LATENCY
44 ms of 1000 ms
RAM
33 kB of 256 kB
ROM
79 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 250 ms

SPECTRAL-ANALYSIS

1024

ACCURACY
NEURAL NETWORK (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 80 - -
dropout - - 0.25
dense 40 - -
dropout - - 0.25

4/29/2022, 12:04:07 AM

83%
spectr-dense-029
Show logs
PERFORMANCE
LATENCY
38 ms of 1000 ms
RAM
31 kB of 256 kB
ROM
82 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 500 ms

SPECTRAL-ANALYSIS

1024

ACCURACY
NEURAL NETWORK (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 80 - -
dropout - - 0.25
dense 40 - -
dropout - - 0.25

4/29/2022, 12:04:19 AM

82%
spectr-dense-f2e
Show logs
PERFORMANCE
LATENCY
44 ms of 1000 ms
RAM
31 kB of 256 kB
ROM
82 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 250 ms

SPECTRAL-ANALYSIS

1024

ACCURACY
NEURAL NETWORK (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 80 - -
dense 40 - -

4/28/2022, 11:53:36 PM

82%
spectr-dense-3db
Show logs
PERFORMANCE
LATENCY
56 ms of 1000 ms
RAM
16 kB of 256 kB
ROM
82 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 250 ms

SPECTRAL-ANALYSIS

128

ACCURACY
NEURAL NETWORK (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 80 - -
dense 40 - -

4/28/2022, 11:57:17 PM

82%
spectr-dense-b30
Show logs
PERFORMANCE
LATENCY
46 ms of 1000 ms
RAM
32 kB of 256 kB
ROM
83 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 250 ms

SPECTRAL-ANALYSIS

1024

ACCURACY
NEURAL NETWORK (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 80 - -
dropout - - 0.25
dense 40 - -
dropout - - 0.25
dense 20 - -
dropout - - 0.25

4/29/2022, 12:00:20 AM

82%
spectr-dense-837
Show logs
PERFORMANCE
LATENCY
42 ms of 1000 ms
RAM
32 kB of 256 kB
ROM
83 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 500 ms

SPECTRAL-ANALYSIS

1024

ACCURACY
NEURAL NETWORK (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 80 - -
dropout - - 0.25
dense 40 - -
dropout - - 0.25
dense 20 - -
dropout - - 0.25

4/29/2022, 12:01:22 AM

82%
spectr-dense-6e1
Show logs
PERFORMANCE
LATENCY
54 ms of 1000 ms
RAM
32 kB of 256 kB
ROM
83 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

SPECTRAL-ANALYSIS

1024

ACCURACY
NEURAL NETWORK (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 80 - -
dense 40 - -
dense 20 - -

4/29/2022, 12:05:58 AM

81%
spectr-dense-d7a
Show logs
PERFORMANCE
LATENCY
42 ms of 1000 ms
RAM
31 kB of 256 kB
ROM
82 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

SPECTRAL-ANALYSIS

1024

ACCURACY
NEURAL NETWORK (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 80 - -
dropout - - 0.5
dense 40 - -
dropout - - 0.5

4/28/2022, 11:54:57 PM

81%
spectr-dense-8e9
Show logs
PERFORMANCE
LATENCY
28 ms of 1000 ms
RAM
31 kB of 256 kB
ROM
82 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 250 ms

SPECTRAL-ANALYSIS

1024

ACCURACY
NEURAL NETWORK (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 80 - -
dropout - - 0.5
dense 40 - -
dropout - - 0.5

4/29/2022, 12:05:33 AM

78%
spectr-dense-10c
Show logs
PERFORMANCE
LATENCY
38 ms of 1000 ms
RAM
16 kB of 256 kB
ROM
50 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 250 ms

SPECTRAL-ANALYSIS

128

ACCURACY
NEURAL NETWORK (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dense 10 - -

4/28/2022, 11:54:38 PM

78%
spectr-dense-e19
Show logs
PERFORMANCE
LATENCY
44 ms of 1000 ms
RAM
16 kB of 256 kB
ROM
50 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 500 ms

SPECTRAL-ANALYSIS

128

ACCURACY
NEURAL NETWORK (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dense 10 - -

4/28/2022, 11:56:15 PM

78%
spectr-dense-753
Show logs
PERFORMANCE
LATENCY
34 ms of 1000 ms
RAM
16 kB of 256 kB
ROM
50 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

SPECTRAL-ANALYSIS

128

ACCURACY
NEURAL NETWORK (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dense 10 - -

4/29/2022, 12:02:54 AM

74%
spectr-dense-f92
Show logs
PERFORMANCE
LATENCY
10 ms of 1000 ms
RAM
16 kB of 256 kB
ROM
34 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 500 ms

SPECTRAL-ANALYSIS

128

ACCURACY
NEURAL NETWORK (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 20 - -
dense 10 - -

4/29/2022, 12:04:27 AM

71%
spectr-dense-4b3
Show logs
PERFORMANCE
LATENCY
40 ms of 1000 ms
RAM
16 kB of 256 kB
ROM
82 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 500 ms

SPECTRAL-ANALYSIS

128

ACCURACY
NEURAL NETWORK (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 20 - -
dropout - - 0.5
dense 10 - -
dropout - - 0.5

4/28/2022, 11:54:54 PM

71%
spectr-dense-11b
Show logs
PERFORMANCE
LATENCY
22 ms of 1000 ms
RAM
31 kB of 256 kB
ROM
34 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

SPECTRAL-ANALYSIS

1024

ACCURACY
NEURAL NETWORK (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 20 - -
dropout - - 0.25
dense 10 - -
dropout - - 0.25

4/28/2022, 11:57:31 PM

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