Developer Relations / Coffee Machine Stages - Multi-label data 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-M7 216MHz

100 ms

340 kB

1024 kB

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General

F1-score

Precision

Recall

66%
spectr-dense-821
PERFORMANCE
LATENCY
9 ms of 100 ms
RAM
10 kB of 340 kB
ROM
20 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
500 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 66%

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

12/5/2023, 9:58:37 AM

62%
spectr-dense-408
PERFORMANCE
LATENCY
9 ms of 100 ms
RAM
10 kB of 340 kB
ROM
17 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
500 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 62%

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

12/5/2023, 9:58:31 AM

61%
spectr-dense-0eb
PERFORMANCE
LATENCY
7 ms of 100 ms
RAM
10 kB of 340 kB
ROM
18 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
500 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 61%

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

12/5/2023, 9:56:20 AM

60%
spectr-dense-551
PERFORMANCE
LATENCY
7 ms of 100 ms
RAM
10 kB of 340 kB
ROM
19 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
500 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 60%

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

12/5/2023, 10:00:44 AM

60%
spectr-dense-529
PERFORMANCE
LATENCY
24 ms of 100 ms
RAM
7 kB of 340 kB
ROM
17 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
500 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 60%

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

12/5/2023, 9:57:10 AM

58%
spectr-dense-c74
PERFORMANCE
LATENCY
13 ms of 100 ms
RAM
18 kB of 340 kB
ROM
20 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

4000 ms |
1000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 58%

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

12/5/2023, 10:00:46 AM

58%
spectr-dense-527
PERFORMANCE
LATENCY
13 ms of 100 ms
RAM
18 kB of 340 kB
ROM
20 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

4000 ms |
1000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 58%

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

12/5/2023, 9:50:37 AM

47%
spectr-dense-788
PERFORMANCE
LATENCY
13 ms of 100 ms
RAM
17 kB of 340 kB
ROM
18 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

4000 ms |
1000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 47%

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

12/5/2023, 9:47:37 AM

44%
spectr-dense-e96
PERFORMANCE
LATENCY
8 ms of 100 ms
RAM
7 kB of 340 kB
ROM
17 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
500 ms |
Enabled

SPECTRAL-ANALYSIS

64

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 44%

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

12/5/2023, 10:04:05 AM

41%
spectr-dense-7b2
PERFORMANCE
LATENCY
15 ms of 100 ms
RAM
18 kB of 340 kB
ROM
17 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

4000 ms |
1000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 41%

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

12/5/2023, 9:57:12 AM

40%
spectr-dense-9fe
PERFORMANCE
LATENCY
8 ms of 100 ms
RAM
10 kB of 340 kB
ROM
16 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
500 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 40%

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

12/5/2023, 10:00:45 AM

38%
spectr-dense-edd
PERFORMANCE
LATENCY
9 ms of 100 ms
RAM
10 kB of 340 kB
ROM
20 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
1000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 38%

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

12/5/2023, 10:00:31 AM

38%
spectr-dense-cbe
PERFORMANCE
LATENCY
13 ms of 100 ms
RAM
17 kB of 340 kB
ROM
16 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

4000 ms |
1000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 38%

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

12/5/2023, 9:47:57 AM

34%
spectr-dense-782
PERFORMANCE
LATENCY
15 ms of 100 ms
RAM
18 kB of 340 kB
ROM
20 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

4000 ms |
4000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 34%

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

12/5/2023, 9:50:15 AM

34%
spectr-dense-ee5
PERFORMANCE
LATENCY
24 ms of 100 ms
RAM
7 kB of 340 kB
ROM
15 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
2000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 34%

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

12/5/2023, 10:00:59 AM