Edge Impulse Experts / ei_cypress_cn0549_moto_pump 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

Cortex-M4F 80MHz

100 ms

128 kB

1024 kB

Filters

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DSP type

Network type

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Data set

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General

F1-score

Precision

Recall

53%
spectr-dense-20a
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
3 kB of 128 kB
ROM
17 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 - -
dense 10 - -
dropout - - 0.25

5/20/2023, 7:28:30 AM

53%
spectr-dense-b54
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
3 kB of 128 kB
ROM
15 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 - - 0.25

5/20/2023, 7:21:02 AM

52%
spectr-dense-ad8
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
4 kB of 128 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 40 - -
dense 20 - -
dropout - - 0.25

5/20/2023, 7:28:35 AM

51%
spectr-dense-390
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
3 kB of 128 kB
ROM
15 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 - -
dropout - - 0.25

5/20/2023, 7:24:42 AM

50%
spectr-dense-603
PERFORMANCE
LATENCY
5 ms of 100 ms
RAM
4 kB of 128 kB
ROM
17 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

5/20/2023, 7:21:44 AM

50%
spectr-dense-20e
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
4 kB of 128 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 - -
dense 5 - -
dropout - - 0.25

5/20/2023, 7:23:28 AM

50%
spectr-dense-1de
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
4 kB of 128 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 40 - -
dense 20 - -
dropout - - 0.5

5/20/2023, 7:28:06 AM

50%
spectr-dense-53a
PERFORMANCE
LATENCY
7 ms of 100 ms
RAM
3 kB of 128 kB
ROM
12 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 - -
dense 5 - -
dropout - - 0.5

5/20/2023, 7:10:51 AM

50%
spectr-dense-632
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
4 kB of 128 kB
ROM
17 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

5/20/2023, 7:11:18 AM

50%
spectr-dense-5c2
PERFORMANCE
LATENCY
9 ms of 100 ms
RAM
3 kB of 128 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 40 - -
dense 20 - -
dropout - - 0.25

5/20/2023, 7:13:46 AM

50%
spectr-dense-2bf
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
4 kB of 128 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 40 - -
dense 20 - -
dropout - - 0.5

5/20/2023, 7:19:22 AM

50%
spectr-dense-8a1
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
4 kB of 128 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 40 - -
dense 20 - -
dropout - - 0.25

5/20/2023, 7:22:15 AM

50%
spectr-dense-174
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
4 kB of 128 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 - -
dense 5 - -
dropout - - 0.5

5/20/2023, 7:29:55 AM

50%
spectr-dense-2f4
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
3 kB of 128 kB
ROM
17 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 - -
dense 10 - -
dropout - - 0.5

5/20/2023, 7:30:13 AM

50%
spectr-dense-604
PERFORMANCE
LATENCY
8 ms of 100 ms
RAM
3 kB of 128 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 40 - -
dense 20 - -
dense 10 - -
dropout - - 0.25

5/20/2023, 7:28:22 AM