Michael Darby / Ammo Counter 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

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General

F1-score

Precision

Recall

99%
spectr-dense-cac
PERFORMANCE
LATENCY
551 ms of 100 ms
Exceeds target by 451 ms
RAM
42 kB of 264 kB
ROM
25 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

6000 ms |
6000 ms |
Enabled

SPECTRAL-ANALYSIS

64

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 99%

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

1/11/2023, 8:26:18 PM

98%
spectr-dense-c93
PERFORMANCE
LATENCY
451 ms of 100 ms
Exceeds target by 351 ms
RAM
35 kB of 264 kB
ROM
25 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

5000 ms |
5000 ms |
Enabled

SPECTRAL-ANALYSIS

64

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 98%

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

1/11/2023, 8:27:33 PM

97%
spectr-dense-baa
PERFORMANCE
LATENCY
551 ms of 100 ms
Exceeds target by 451 ms
RAM
42 kB of 264 kB
ROM
25 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

6000 ms |
6000 ms |
Enabled

SPECTRAL-ANALYSIS

64

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 97%

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

1/11/2023, 8:22:22 PM

96%
spectr-dense-eae
PERFORMANCE
LATENCY
1530 ms of 100 ms
Exceeds target by 1430 ms
RAM
34 kB of 264 kB
ROM
19 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

5000 ms |
5000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 96%

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

1/11/2023, 8:26:48 PM

96%
spectr-dense-584
PERFORMANCE
LATENCY
459 ms of 100 ms
Exceeds target by 359 ms
RAM
35 kB of 264 kB
ROM
25 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

5000 ms |
5000 ms |
Enabled

SPECTRAL-ANALYSIS

64

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 96%

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

1/11/2023, 8:25:51 PM

95%
spectr-dense-06e
PERFORMANCE
LATENCY
1845 ms of 100 ms
Exceeds target by 1745 ms
RAM
41 kB of 264 kB
ROM
19 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

6000 ms |
6000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 95%

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

1/11/2023, 8:23:16 PM

90%
spectr-dense-567
PERFORMANCE
LATENCY
547 ms of 100 ms
Exceeds target by 447 ms
RAM
42 kB of 264 kB
ROM
20 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

6000 ms |
6000 ms |
Enabled

SPECTRAL-ANALYSIS

64

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 90%

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

1/11/2023, 8:22:24 PM

88%
spectr-dense-26f
PERFORMANCE
LATENCY
447 ms of 100 ms
Exceeds target by 347 ms
RAM
35 kB of 264 kB
ROM
20 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

5000 ms |
5000 ms |
Enabled

SPECTRAL-ANALYSIS

64

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 88%

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

1/11/2023, 8:26:39 PM

88%
spectr-dense-e6a
PERFORMANCE
LATENCY
1846 ms of 100 ms
Exceeds target by 1746 ms
RAM
41 kB of 264 kB
ROM
19 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

6000 ms |
6000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 88%

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

1/11/2023, 8:23:53 PM

87%
spectr-dense-d0c
PERFORMANCE
LATENCY
550 ms of 100 ms
Exceeds target by 450 ms
RAM
42 kB of 264 kB
ROM
25 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

6000 ms |
6000 ms |
Enabled

SPECTRAL-ANALYSIS

64

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 87%

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

1/11/2023, 8:24:11 PM

87%
spectr-dense-cd4
PERFORMANCE
LATENCY
547 ms of 100 ms
Exceeds target by 447 ms
RAM
42 kB of 264 kB
ROM
20 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

6000 ms |
6000 ms |
Enabled

SPECTRAL-ANALYSIS

64

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 87%

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

1/11/2023, 8:23:01 PM

85%
spectr-dense-337
PERFORMANCE
LATENCY
1529 ms of 100 ms
Exceeds target by 1429 ms
RAM
34 kB of 264 kB
ROM
19 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

5000 ms |
5000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 85%

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

1/11/2023, 8:27:45 PM

83%
spectr-dense-e97
PERFORMANCE
LATENCY
446 ms of 100 ms
Exceeds target by 346 ms
RAM
35 kB of 264 kB
ROM
20 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

5000 ms |
5000 ms |
Enabled

SPECTRAL-ANALYSIS

64

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 83%

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

1/11/2023, 8:28:33 PM

74%
spectr-dense-b88
PERFORMANCE
LATENCY
1527 ms of 100 ms
Exceeds target by 1427 ms
RAM
34 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

0.0005 | 30 | 74%

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

1/11/2023, 8:29:09 PM

72%
spectr-dense-32d
PERFORMANCE
LATENCY
1844 ms of 100 ms
Exceeds target by 1744 ms
RAM
41 kB of 264 kB
ROM
17 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

6000 ms |
6000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 72%

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

1/11/2023, 8:29:36 PM