Edge Impulse Inc. / Keywords Detection - EON Tuner Search Space Public
Clone this project

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

Keyword spotting

Cortex-M7 216MHz

100 ms

340 kB

1024 kB

Filters

Status

DSP type

Network type

View

Data set

Precision

Sort

General

F1-score

Precision

Recall

94%
mfe-conv2d-b5c
Show logs
PERFORMANCE
LATENCY
220 ms of 100 ms
Exceeds target by 120 ms
RAM
43 kB of 340 kB
ROM
86 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

MFE

0.032 | 0.016 | 32

ACCURACY
CLASSIFICATION (KERAS)

0.005 | 100

Type Filters Kernel Rate
conv2d 8 3 -
conv2d 16 3 -
conv2d 32 3 -
conv2d 64 3 -
dropout - - 0.5

9/27/2022, 6:15:49 PM

93%
mfe-conv1d-f2e
Show logs
PERFORMANCE
LATENCY
229 ms of 100 ms
Exceeds target by 129 ms
RAM
31 kB of 340 kB
ROM
201 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

MFE

0.02 | 0.02 | 32

ACCURACY
CLASSIFICATION (KERAS)

0.005 | 100

Type Filters Kernel Rate
Data augmentation
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
conv1d 256 3 -
dropout - - 0.5

9/27/2022, 5:55:34 PM

93%
mfcc-conv1d-ab2
Show logs
PERFORMANCE
LATENCY
312 ms of 100 ms
Exceeds target by 212 ms
RAM
34 kB of 340 kB
ROM
200 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

MFCC

0.02 | 0.02 | 32

ACCURACY
CLASSIFICATION (KERAS)

0.005 | 100

Type Filters Kernel Rate
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
conv1d 256 3 -
dropout - - 0.25

9/27/2022, 5:16:54 PM

92%
mfcc-conv2d-587
Show logs
PERFORMANCE
LATENCY
201 ms of 100 ms
Exceeds target by 101 ms
RAM
42 kB of 340 kB
ROM
87 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

MFCC

0.05 | 0.025 | 32

ACCURACY
CLASSIFICATION (KERAS)

0.005 | 100

Type Filters Kernel Rate
conv2d 32 3 -
conv2d 64 3 -
dropout - - 0.5

9/27/2022, 6:34:45 PM

92%
mfcc-conv1d-edd
Show logs
PERFORMANCE
LATENCY
251 ms of 100 ms
Exceeds target by 151 ms
RAM
36 kB of 340 kB
ROM
200 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

MFCC

0.02 | 0.02 | 40

ACCURACY
CLASSIFICATION (KERAS)

0.005 | 100

Type Filters Kernel Rate
Data augmentation
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
conv1d 256 3 -
dropout - - 0.5

9/27/2022, 5:23:14 PM

92%
mfcc-conv2d-cbb
Show logs
PERFORMANCE
LATENCY
103 ms of 100 ms
Exceeds target by 3 ms
RAM
28 kB of 340 kB
ROM
66 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

MFCC

0.02 | 0.02 | 32

ACCURACY
CLASSIFICATION (KERAS)

0.005 | 100

Type Filters Kernel Rate
conv2d 8 3 -
conv2d 16 3 -
conv2d 32 3 -
dropout - - 0.5

9/27/2022, 5:39:23 PM

92%
mfe-conv1d-0ad
Show logs
PERFORMANCE
LATENCY
127 ms of 100 ms
Exceeds target by 27 ms
RAM
35 kB of 340 kB
ROM
102 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

MFE

0.02 | 0.01 | 32

ACCURACY
CLASSIFICATION (KERAS)

0.005 | 100

Type Filters Kernel Rate
Data augmentation
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
dropout - - 0.25

9/27/2022, 5:21:28 PM

91%
mfe-conv1d-8d7
Show logs
PERFORMANCE
LATENCY
126 ms of 100 ms
Exceeds target by 26 ms
RAM
35 kB of 340 kB
ROM
102 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

MFE

0.02 | 0.01 | 32

ACCURACY
CLASSIFICATION (KERAS)

0.005 | 100

Type Filters Kernel Rate
Data augmentation
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
dropout - - 0.5

9/27/2022, 5:33:42 PM

91%
mfe-conv1d-7ed
Show logs
PERFORMANCE
LATENCY
105 ms of 100 ms
Exceeds target by 5 ms
RAM
31 kB of 340 kB
ROM
65 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

MFE

0.02 | 0.01 | 32

ACCURACY
CLASSIFICATION (KERAS)

0.005 | 100

Type Filters Kernel Rate
Data augmentation
conv1d 16 3 -
conv1d 32 3 -
dropout - - 0.25

9/27/2022, 6:19:30 PM

91%
mfe-conv1d-1a8
Show logs
PERFORMANCE
LATENCY
125 ms of 100 ms
Exceeds target by 25 ms
RAM
35 kB of 340 kB
ROM
102 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

MFE

0.02 | 0.01 | 32

ACCURACY
CLASSIFICATION (KERAS)

0.005 | 100

Type Filters Kernel Rate
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
dropout - - 0.5

9/27/2022, 5:17:14 PM

91%
mfcc-conv1d-a94
Show logs
PERFORMANCE
LATENCY
190 ms of 100 ms
Exceeds target by 90 ms
RAM
34 kB of 340 kB
ROM
200 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

MFCC

0.02 | 0.02 | 32

ACCURACY
CLASSIFICATION (KERAS)

0.005 | 100

Type Filters Kernel Rate
Data augmentation
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
conv1d 256 3 -
dropout - - 0.5

9/27/2022, 5:30:46 PM

91%
mfe-conv1d-f83
Show logs
PERFORMANCE
LATENCY
107 ms of 100 ms
Exceeds target by 7 ms
RAM
33 kB of 340 kB
ROM
64 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

MFE

0.02 | 0.01 | 32

ACCURACY
CLASSIFICATION (KERAS)

0.005 | 100

Type Filters Kernel Rate
conv1d 8 3 -
conv1d 16 3 -
conv1d 32 3 -
dropout - - 0.5

9/27/2022, 6:22:33 PM

91%
mfe-conv2d-9b1
Show logs
PERFORMANCE
LATENCY
204 ms of 100 ms
Exceeds target by 104 ms
RAM
50 kB of 340 kB
ROM
76 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

MFE

0.02 | 0.02 | 32

ACCURACY
CLASSIFICATION (KERAS)

0.005 | 100

Type Filters Kernel Rate
conv2d 16 3 -
conv2d 32 3 -
dropout - - 0.25

9/27/2022, 6:18:02 PM

91%
mfcc-conv2d-4ac
Show logs
PERFORMANCE
LATENCY
232 ms of 100 ms
Exceeds target by 132 ms
RAM
39 kB of 340 kB
ROM
159 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

MFCC

0.05 | 0.025 | 40

ACCURACY
CLASSIFICATION (KERAS)

0.005 | 100

Type Filters Kernel Rate
Data augmentation
conv2d 16 3 -
conv2d 32 3 -
conv2d 64 3 -
conv2d 128 3 -
dropout - - 0.5

9/27/2022, 6:31:17 PM

91%
mfcc-conv2d-9cc
Show logs
PERFORMANCE
LATENCY
301 ms of 100 ms
Exceeds target by 201 ms
RAM
36 kB of 340 kB
ROM
69 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

MFCC

0.02 | 0.02 | 40

ACCURACY
CLASSIFICATION (KERAS)

0.005 | 100

Type Filters Kernel Rate
Data augmentation
conv2d 16 3 -
conv2d 32 3 -
dropout - - 0.5

9/27/2022, 5:41:49 PM

Help & documentation Get help on the forum Send feedback Contact sales
Join us
Terms of Service Privacy policy