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)
75%
mfe-conv1d-cdd
View
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 | 75%

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

11/26/2024, 12:36:40 PM

74%
mfe-conv1d-c93
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
29 kB of 4194304 kB
ROM
576 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.02 | 0.01 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 74%

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

11/26/2024, 12:41:28 PM

73%
mfe-conv1d-426
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
29 kB of 4194304 kB
ROM
576 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.02 | 0.01 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 73%

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

11/26/2024, 12:39:31 PM

53%
mfe-conv2d-57b
PERFORMANCE
LATENCY
1 ms of 100 ms
RAM
51 kB of 4194304 kB
ROM
52 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 | 53%

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

11/26/2024, 12:38:01 PM

52%
mfe-conv2d-f95
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
52 kB of 4194304 kB
ROM
129 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 | 52%

Type Filters Kernel Rate
conv2d 16 3 -
conv2d 32 3 -
conv2d 64 3 -
dropout - - 0.25

11/26/2024, 12:39:14 PM

51%
mfe-conv1d-8e7
PERFORMANCE
LATENCY
1 ms of 100 ms
RAM
12 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

11/26/2024, 12:32:36 PM

49%
mfcc-conv2d-997
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
105 kB of 4194304 kB
ROM
161 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.02 | 0.02 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 49%

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

11/26/2024, 12:39:29 PM

49%
mfe-conv1d-f6d
PERFORMANCE
LATENCY
1 ms of 100 ms
RAM
14 kB of 4194304 kB
ROM
31 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.02 | 0.02 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 49%

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

11/26/2024, 12:37:02 PM

43%
mfe-conv2d-b3f
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
65 kB of 4194304 kB
ROM
128 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.02 | 0.02 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 43%

Type Filters Kernel Rate
Data augmentation
conv2d 8 3 -
conv2d 16 3 -
conv2d 32 3 -
conv2d 64 3 -
dropout - - 0.25

11/26/2024, 12:37:30 PM

43%
mfe-conv1d-f7e
PERFORMANCE
LATENCY
1 ms of 100 ms
RAM
27 kB of 4194304 kB
ROM
42 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.02 | 0.01 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 43%

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

11/26/2024, 12:37:39 PM

41%
spectr-conv2d-56e
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
69 kB of 4194304 kB
ROM
136 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

SPECTROGRAM

0.075 | 0.075 | -32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 41%

Type Filters Kernel Rate
conv2d 16 3 -
conv2d 32 3 -
conv2d 64 3 -
dropout - - 0.25

11/26/2024, 12:34:16 PM

40%
mfe-conv1d-699
PERFORMANCE
LATENCY
1 ms of 100 ms
RAM
15 kB of 4194304 kB
ROM
64 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.02 | 0.02 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 40%

Type Filters Kernel Rate
Data augmentation
conv1d 8 3 -
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
dropout - - 0.5

11/26/2024, 12:32:57 PM

39%
mfe-conv2d-773
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
52 kB of 4194304 kB
ROM
412 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 | 39%

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

11/26/2024, 12:39:26 PM

38%
mfcc-conv1d-83b
PERFORMANCE
LATENCY
1 ms of 100 ms
RAM
14 kB of 4194304 kB
ROM
47 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.02 | 0.01 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 38%

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

11/26/2024, 12:36:05 PM

35%
mfcc-conv2d-f3d
PERFORMANCE
LATENCY
1 ms of 100 ms
RAM
28 kB of 4194304 kB
ROM
123 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.02 | 0.02 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 35%

Type Filters Kernel Rate
Data augmentation
conv2d 8 3 -
conv2d 16 3 -
conv2d 32 3 -
conv2d 64 3 -
dropout - - 0.25

11/26/2024, 12:40:10 PM

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