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-b8e
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

11/25/2024, 1:28:38 PM

74%
mfe-conv1d-3b0
PERFORMANCE
LATENCY
6 ms of 100 ms
RAM
45 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

11/25/2024, 1:46:17 PM

73%
mfe-conv1d-281
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

11/25/2024, 1:44:06 PM

56%
mfe-conv2d-a44
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 | 56%

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

11/25/2024, 1:32:11 PM

52%
mfe-conv2d-e5f
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

11/25/2024, 1:37:42 PM

51%
mfe-conv1d-8fc
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

11/25/2024, 1:21:46 PM

50%
mfe-conv2d-6d7
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 | 50%

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

11/25/2024, 1:32:15 PM

49%
mfcc-conv2d-6a2
PERFORMANCE
LATENCY
7 ms of 100 ms
RAM
120 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

11/25/2024, 1:36:56 PM

49%
mfe-conv1d-2f6
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
25 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

11/25/2024, 1:33:30 PM

43%
mfe-conv2d-c23
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

11/25/2024, 1:32:56 PM

43%
mfe-conv1d-f25
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
44 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

11/25/2024, 1:37:40 PM

40%
mfe-conv1d-839
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

11/25/2024, 1:27:12 PM

38%
mfcc-conv1d-a13
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

11/25/2024, 1:34:25 PM

35%
mfcc-conv2d-826
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

11/25/2024, 1:41:44 PM

32%
mfcc-conv2d-6e7
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
53 kB of 4194304 kB
ROM
127 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 | 32%

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

11/25/2024, 1:42:08 PM

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