Edge Impulse Experts / ei_cypress_cn0549_moto_pump Public
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

Cortex-M4F 80MHz

100 ms

128 kB

1024 kB

Filters

Status

DSP type

Model type

View

Data set

Variant

Sort

General

F1-score

Precision

Recall

49%
spectr-dense-721
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
4 kB of 128 kB
ROM
16 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

4000 ms |
4000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 49%

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

5/20/2023, 7:24:33 AM

47%
spectr-dense-847
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
4 kB of 128 kB
ROM
15 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

4000 ms |
4000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 47%

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

5/20/2023, 7:21:53 AM

47%
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
TIME-SERIES INPUT

4000 ms |
2000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 47%

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

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

41%
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
TIME-SERIES INPUT

4000 ms |
2000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 41%

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

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

41%
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
TIME-SERIES INPUT

4000 ms |
4000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 41%

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

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

36%
spectr-dense-5bc
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
4 kB of 128 kB
ROM
16 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

4000 ms |
2000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 36%

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

5/20/2023, 7:13:08 AM

32%
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
TIME-SERIES INPUT

4000 ms |
2000 ms |
Enabled

SPECTRAL-ANALYSIS

64

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 32%

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

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

28%
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
TIME-SERIES INPUT

4000 ms |
2000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 28%

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

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

4%
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
TIME-SERIES INPUT

4000 ms |
4000 ms |
Enabled

SPECTRAL-ANALYSIS

64

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 4%

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

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

4%
spectr-dense-644
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
3 kB of 128 kB
ROM
16 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

4000 ms |
2000 ms |
Enabled

SPECTRAL-ANALYSIS

64

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 4%

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

5/20/2023, 7:30:35 AM

4%
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
TIME-SERIES INPUT

4000 ms |
2000 ms |
Enabled

SPECTRAL-ANALYSIS

64

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 4%

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

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

4%
spectr-dense-00e
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
3 kB of 128 kB
ROM
16 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

4000 ms |
4000 ms |
Enabled

SPECTRAL-ANALYSIS

64

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 4%

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

5/20/2023, 7:31:14 AM

2%
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
TIME-SERIES INPUT

4000 ms |
2000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 2%

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

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

2%
spectr-dense-949
PERFORMANCE
LATENCY
9 ms of 100 ms
RAM
3 kB of 128 kB
ROM
15 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

4000 ms |
4000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 2%

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

5/20/2023, 7:16:46 AM

1%
spectr-dense-511
PERFORMANCE
LATENCY
5 ms of 100 ms
RAM
4 kB of 128 kB
ROM
17 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

4000 ms |
4000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 1%

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

5/20/2023, 7:24:26 AM