Tord / wirelesswizardwand Public

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

Continuous motion

Nordic nRF52840 DK (Cortex-M4F 64MHz)

100 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

93%
spectr-dense-5ca
PERFORMANCE
LATENCY
22 ms of 100 ms
RAM
7 kB of 256 kB
ROM
19 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 4000 ms

SPECTRAL-ANALYSIS

64

ACCURACY
CLASSIFICATION

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dropout - - 0.5

8/20/2023, 8:46:17 PM

90%
spectr-dense-071
PERFORMANCE
LATENCY
22 ms of 100 ms
RAM
7 kB of 256 kB
ROM
19 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 2000 ms

SPECTRAL-ANALYSIS

64

ACCURACY
CLASSIFICATION

0.0005 | 30

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

8/20/2023, 8:37:30 PM

86%
spectr-dense-d19
PERFORMANCE
LATENCY
22 ms of 100 ms
RAM
7 kB of 256 kB
ROM
19 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 2000 ms

SPECTRAL-ANALYSIS

64

ACCURACY
CLASSIFICATION

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dropout - - 0.5

8/20/2023, 8:48:01 PM

78%
spectr-dense-1a4
PERFORMANCE
LATENCY
22 ms of 100 ms
RAM
7 kB of 256 kB
ROM
19 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 4000 ms

SPECTRAL-ANALYSIS

64

ACCURACY
CLASSIFICATION

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dense 10 - -
dropout - - 0.25

8/20/2023, 8:42:26 PM

78%
spectr-dense-6b1
PERFORMANCE
LATENCY
23 ms of 100 ms
RAM
10 kB of 256 kB
ROM
20 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 4000 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dense 10 - -
dropout - - 0.5

8/20/2023, 8:46:03 PM

70%
spectr-dense-9dd
PERFORMANCE
LATENCY
20 ms of 100 ms
RAM
10 kB of 256 kB
ROM
18 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 4000 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dense 10 - -
dropout - - 0.25

8/20/2023, 8:48:03 PM

66%
spectr-dense-4f8
PERFORMANCE
LATENCY
17 ms of 100 ms
RAM
10 kB of 256 kB
ROM
18 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 2000 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dense 10 - -
dropout - - 0.25

8/20/2023, 8:42:20 PM

59%
spectr-dense-592
PERFORMANCE
LATENCY
21 ms of 100 ms
RAM
7 kB of 256 kB
ROM
16 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 2000 ms

SPECTRAL-ANALYSIS

64

ACCURACY
CLASSIFICATION

0.0005 | 30

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

8/20/2023, 8:43:59 PM

59%
spectr-dense-e67
PERFORMANCE
LATENCY
16 ms of 100 ms
RAM
10 kB of 256 kB
ROM
16 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 2000 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION

0.0005 | 30

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

8/20/2023, 8:49:03 PM

59%
spectr-dense-17b
PERFORMANCE
LATENCY
19 ms of 100 ms
RAM
10 kB of 256 kB
ROM
18 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 2000 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dense 10 - -
dropout - - 0.5

8/20/2023, 8:44:19 PM

55%
spectr-dense-db8
PERFORMANCE
LATENCY
70 ms of 100 ms
RAM
7 kB of 256 kB
ROM
15 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 2000 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION

0.0005 | 30

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

8/20/2023, 8:42:32 PM

48%
spectr-dense-91b
PERFORMANCE
LATENCY
16 ms of 100 ms
RAM
10 kB of 256 kB
ROM
16 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 4000 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION

0.0005 | 30

Type Filters Kernel Rate
dense 20 - -
dense 10 - -
dense 5 - -
dropout - - 0.25

8/20/2023, 8:37:21 PM

44%
spectr-dense-57a
PERFORMANCE
LATENCY
23 ms of 100 ms
RAM
7 kB of 256 kB
ROM
16 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 4000 ms

SPECTRAL-ANALYSIS

64

ACCURACY
CLASSIFICATION

0.0005 | 30

Type Filters Kernel Rate
dense 20 - -
dense 10 - -
dense 5 - -
dropout - - 0.25

8/20/2023, 8:46:10 PM

41%
spectr-dense-38b
PERFORMANCE
LATENCY
16 ms of 100 ms
RAM
10 kB of 256 kB
ROM
16 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 4000 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION

0.0005 | 30

Type Filters Kernel Rate
dense 20 - -
dense 10 - -
dense 5 - -
dropout - - 0.5

8/20/2023, 8:48:08 PM

33%
spectr-dense-ff7
PERFORMANCE
LATENCY
20 ms of 100 ms
RAM
10 kB of 256 kB
ROM
17 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 4000 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION

0.0005 | 30

Type Filters Kernel Rate
dense 20 - -
dense 10 - -
dense 5 - -
dropout - - 0.25

8/20/2023, 8:43:38 PM