Sobhit Panda / WizFi360_Sobhit 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

Raspberry Pi RP2040 (Cortex-M0+ 133MHz)

100 ms

264 kB

2048 kB

Filters

Status

DSP type

Model type

View

Data set

Variant

Sort

General

F1-score

Precision

Recall

100%
spectr-dense-5c9
PERFORMANCE
LATENCY
60 ms of 100 ms
RAM
7 kB of 264 kB
ROM
21 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

4000 ms |
4000 ms |
Enabled

SPECTRAL-ANALYSIS

64

ACCURACY (KERAS)
CLASSIFICATION (KERAS)

0.0005 | 30 | 100%

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

10/31/2022, 2:40:06 PM

100%
spectr-dense-106
PERFORMANCE
LATENCY
193 ms of 100 ms
Exceeds target by 93 ms
RAM
6 kB of 264 kB
ROM
18 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

4000 ms |
4000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION (KERAS)

0.0005 | 30 | 100%

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

10/31/2022, 2:40:10 PM

100%
spectr-dense-e17
PERFORMANCE
LATENCY
60 ms of 100 ms
RAM
7 kB of 264 kB
ROM
21 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

4000 ms |
4000 ms |
Enabled

SPECTRAL-ANALYSIS

64

ACCURACY (KERAS)
CLASSIFICATION (KERAS)

0.0005 | 30 | 100%

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

10/31/2022, 2:49:48 PM

50%
spectr-dense-96d
PERFORMANCE
LATENCY
60 ms of 100 ms
RAM
7 kB of 264 kB
ROM
21 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

4000 ms |
4000 ms |
Enabled

SPECTRAL-ANALYSIS

64

ACCURACY (KERAS)
CLASSIFICATION (KERAS)

0.0005 | 30 | 50%

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

10/31/2022, 2:40:13 PM

50%
spectr-dense-23a
PERFORMANCE
LATENCY
77 ms of 100 ms
RAM
8 kB of 264 kB
ROM
21 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

5000 ms |
5000 ms |
Enabled

SPECTRAL-ANALYSIS

64

ACCURACY (KERAS)
CLASSIFICATION (KERAS)

0.0005 | 30 | 50%

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

10/31/2022, 2:43:46 PM

50%
spectr-dense-640
PERFORMANCE
LATENCY
60 ms of 100 ms
RAM
7 kB of 264 kB
ROM
21 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

4000 ms |
4000 ms |
Enabled

SPECTRAL-ANALYSIS

64

ACCURACY (KERAS)
CLASSIFICATION (KERAS)

0.0005 | 30 | 50%

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

10/31/2022, 2:47:22 PM

50%
spectr-dense-b41
PERFORMANCE
LATENCY
193 ms of 100 ms
Exceeds target by 93 ms
RAM
6 kB of 264 kB
ROM
18 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

4000 ms |
4000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION (KERAS)

0.0005 | 30 | 50%

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

10/31/2022, 2:47:26 PM

spectr-dense-c1e
PERFORMANCE
LATENCY
193 ms of 100 ms
Exceeds target by 93 ms
RAM
7 kB of 264 kB
ROM
18 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

4000 ms |
4000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION (KERAS)

0.0005 | 30 | 0%

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

10/31/2022, 2:41:18 PM

spectr-dense-904
PERFORMANCE
LATENCY
59 ms of 100 ms
RAM
7 kB of 264 kB
ROM
18 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

4000 ms |
4000 ms |
Enabled

SPECTRAL-ANALYSIS

64

ACCURACY (KERAS)
CLASSIFICATION (KERAS)

0.0005 | 30 | 0%

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

10/31/2022, 2:41:19 PM

spectr-dense-cca
PERFORMANCE
LATENCY
59 ms of 100 ms
RAM
7 kB of 264 kB
ROM
18 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

4000 ms |
4000 ms |
Enabled

SPECTRAL-ANALYSIS

64

ACCURACY (KERAS)
CLASSIFICATION (KERAS)

0.0005 | 30 | 0%

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

10/31/2022, 2:41:27 PM

spectr-dense-b76
PERFORMANCE
LATENCY
193 ms of 100 ms
Exceeds target by 93 ms
RAM
7 kB of 264 kB
ROM
17 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

4000 ms |
4000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION (KERAS)

0.0005 | 30 | 0%

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

10/31/2022, 2:42:34 PM

spectr-dense-544
PERFORMANCE
LATENCY
76 ms of 100 ms
RAM
8 kB of 264 kB
ROM
18 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

5000 ms |
5000 ms |
Enabled

SPECTRAL-ANALYSIS

64

ACCURACY (KERAS)
CLASSIFICATION (KERAS)

0.0005 | 30 | 0%

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

10/31/2022, 2:42:34 PM

spectr-dense-6e7
PERFORMANCE
LATENCY
243 ms of 100 ms
Exceeds target by 143 ms
RAM
8 kB of 264 kB
ROM
17 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

5000 ms |
5000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION (KERAS)

0.0005 | 30 | 0%

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

10/31/2022, 2:42:42 PM

spectr-dense-ee6
PERFORMANCE
LATENCY
59 ms of 100 ms
RAM
7 kB of 264 kB
ROM
18 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

4000 ms |
4000 ms |
Enabled

SPECTRAL-ANALYSIS

64

ACCURACY (KERAS)
CLASSIFICATION (KERAS)

0.0005 | 30 | 0%

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

10/31/2022, 2:43:51 PM

spectr-dense-b2a
PERFORMANCE
LATENCY
76 ms of 100 ms
RAM
8 kB of 264 kB
ROM
18 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

5000 ms |
5000 ms |
Enabled

SPECTRAL-ANALYSIS

64

ACCURACY (KERAS)
CLASSIFICATION (KERAS)

0.0005 | 30 | 0%

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

10/31/2022, 2:43:58 PM