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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

Motion events

Cortex-M7 216MHz

400 ms

340 kB

1024 kB

Filters

Status

DSP type

Network type

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Data set

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General

F1-score

Precision

Recall

81%
spectr-dense-a07
PERFORMANCE
LATENCY
13 ms of 400 ms
RAM
18 kB of 340 kB
ROM
20 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 - -
dense 10 - -
dropout - - 0.25

12/5/2023, 9:43:36 AM

80%
spectr-dense-993
PERFORMANCE
LATENCY
8 ms of 400 ms
RAM
7 kB of 340 kB
ROM
17 kB of 1024 kB
DSP NN Unused
INPUT

2000 ms | 500 ms

SPECTRAL-ANALYSIS

64

ACCURACY
CLASSIFICATION

0.0005 | 30

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

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

76%
spectr-dense-75e
PERFORMANCE
LATENCY
47 ms of 400 ms
RAM
11 kB of 340 kB
ROM
17 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

12/5/2023, 9:54:06 AM

75%
spectr-dense-faf
PERFORMANCE
LATENCY
9 ms of 400 ms
RAM
10 kB of 340 kB
ROM
20 kB of 1024 kB
DSP NN Unused
INPUT

2000 ms | 500 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION

0.0005 | 30

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

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

74%
spectr-dense-086
PERFORMANCE
LATENCY
9 ms of 400 ms
RAM
10 kB of 340 kB
ROM
17 kB of 1024 kB
DSP NN Unused
INPUT

2000 ms | 500 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION

0.0005 | 30

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

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

73%
spectr-dense-bc8
PERFORMANCE
LATENCY
24 ms of 400 ms
RAM
7 kB of 340 kB
ROM
17 kB of 1024 kB
DSP NN Unused
INPUT

2000 ms | 500 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION

0.0005 | 30

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

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

73%
spectr-dense-e42
PERFORMANCE
LATENCY
7 ms of 400 ms
RAM
10 kB of 340 kB
ROM
18 kB of 1024 kB
DSP NN Unused
INPUT

2000 ms | 500 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION

0.0005 | 30

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

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

71%
spectr-dense-b60
PERFORMANCE
LATENCY
7 ms of 400 ms
RAM
10 kB of 340 kB
ROM
19 kB of 1024 kB
DSP NN Unused
INPUT

2000 ms | 500 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION

0.0005 | 30

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

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

67%
spectr-dense-c96
PERFORMANCE
LATENCY
13 ms of 400 ms
RAM
18 kB of 340 kB
ROM
20 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 1000 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION

0.0005 | 30

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

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

67%
spectr-dense-06c
PERFORMANCE
LATENCY
13 ms of 400 ms
RAM
18 kB of 340 kB
ROM
20 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 1000 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION

0.0005 | 30

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

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

63%
spectr-dense-5fc
PERFORMANCE
LATENCY
9 ms of 400 ms
RAM
10 kB of 340 kB
ROM
20 kB of 1024 kB
DSP NN Unused
INPUT

2000 ms | 1000 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION

0.0005 | 30

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

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

63%
spectr-dense-f54
PERFORMANCE
LATENCY
15 ms of 400 ms
RAM
18 kB of 340 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 20 - -
dense 10 - -
dropout - - 0.5

12/5/2023, 9:50:09 AM

62%
spectr-dense-c17
PERFORMANCE
LATENCY
15 ms of 400 ms
RAM
18 kB of 340 kB
ROM
20 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

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

58%
spectr-dense-ca3
PERFORMANCE
LATENCY
15 ms of 400 ms
RAM
18 kB of 340 kB
ROM
17 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 1000 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION

0.0005 | 30

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

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

58%
spectr-dense-e86
PERFORMANCE
LATENCY
47 ms of 400 ms
RAM
11 kB of 340 kB
ROM
17 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 1000 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION

0.0005 | 30

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

12/5/2023, 9:50:44 AM