Amanda Johansen / Overall Mini Project Testing Public
Target: Nvidia Jetson Nano Clone this project
Experiments EON Tuner
The EON Tuner helps you quickly run hyper-parameter sweeps that explore different pre-processing + model architectures optimized for your defined objectives. Clone this project to use the EON Tuner.

Target

Test1

Nvidia Jetson Nano

100 ms

4194304 kB

16777216 kB

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Run #4 - Test1 (Nov 26 2024, 12:30:33, finished) Run #3 - Test1 (Nov 25 2024, 13:18:33, finished) Run #2 - Test1 (Nov 21 2024, 19:51:33, finished) Run #1 - Test1 (Nov 21 2024, 19:31:46, finished)
77%
mfe-conv1d-00b
PERFORMANCE
LATENCY
1 ms of 100 ms
RAM
10 kB of 4194304 kB
ROM
65 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.032 | 0.032 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 77%

Type Filters Kernel Rate
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
dropout - - 0.5

11/21/2024, 8:16:37 PM

76%
mfe-conv1d-7c5
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
23 kB of 4194304 kB
ROM
37 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.05 | 0.025 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 76%

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

11/21/2024, 8:11:49 PM

75%
mfe-conv1d-a3f
View
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
19 kB of 4194304 kB
ROM
36 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.032 | 0.032 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 75%

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

11/21/2024, 8:06:47 PM

75%
mfe-conv1d-d35
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
19 kB of 4194304 kB
ROM
65 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.032 | 0.032 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 75%

Type Filters Kernel Rate
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
dropout - - 0.25

11/21/2024, 8:04:21 PM

51%
mfe-conv1d-32a
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
23 kB of 4194304 kB
ROM
164 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.05 | 0.025 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 51%

Type Filters Kernel Rate
Data augmentation
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
dropout - - 0.5

11/21/2024, 7:59:42 PM

45%
mfe-conv2d-ab8
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
49 kB of 4194304 kB
ROM
47 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.032 | 0.032 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 45%

Type Filters Kernel Rate
Data augmentation
conv2d 8 3 -
conv2d 16 3 -
dropout - - 0.25

11/21/2024, 8:11:04 PM

33%
mfe-conv1d-04c
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
22 kB of 4194304 kB
ROM
31 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.05 | 0.025 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 33%

Type Filters Kernel Rate
Data augmentation
conv1d 8 3 -
conv1d 16 3 -
dropout - - 0.5

11/21/2024, 8:11:51 PM

32%
mfcc-conv2d-212
PERFORMANCE
LATENCY
1 ms of 100 ms
RAM
22 kB of 4194304 kB
ROM
40 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.05 | 0.025 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 32%

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

11/21/2024, 8:02:03 PM

29%
mfcc-conv2d-9dc
PERFORMANCE
LATENCY
1 ms of 100 ms
RAM
12 kB of 4194304 kB
ROM
34 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.05 | 0.05 | 40

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 29%

Type Filters Kernel Rate
Data augmentation
conv2d 8 3 -
conv2d 16 3 -
dropout - - 0.5

11/21/2024, 8:15:57 PM

29%
mfe-conv2d-512
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
35 kB of 4194304 kB
ROM
40 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 29%

Type Filters Kernel Rate
conv2d 8 3 -
conv2d 16 3 -
dropout - - 0.25

11/21/2024, 7:59:04 PM

28%
mfcc-conv1d-f5a
PERFORMANCE
LATENCY
5 ms of 100 ms
RAM
22 kB of 4194304 kB
ROM
62 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.05 | 0.025 | 40

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 28%

Type Filters Kernel Rate
Data augmentation
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
dropout - - 0.25

11/21/2024, 8:10:20 PM

28%
mfcc-conv2d-dd9
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
36 kB of 4194304 kB
ROM
40 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.05 | 0.025 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 28%

Type Filters Kernel Rate
Data augmentation
conv2d 8 3 -
conv2d 16 3 -
dropout - - 0.5

11/21/2024, 8:02:11 PM

27%
mfcc-conv2d-9e5
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
31 kB of 4194304 kB
ROM
37 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.032 | 0.032 | 40

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 27%

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

11/21/2024, 7:59:39 PM

26%
mfe-conv1d-554
PERFORMANCE
LATENCY
1 ms of 100 ms
RAM
10 kB of 4194304 kB
ROM
69 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.032 | 0.032 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 26%

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

11/21/2024, 8:17:20 PM

25%
mfe-conv2d-2ac
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
35 kB of 4194304 kB
ROM
40 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 25%

Type Filters Kernel Rate
Data augmentation
conv2d 8 3 -
conv2d 16 3 -
dropout - - 0.25

11/21/2024, 8:14:27 PM

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