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
Run #5
Sony Spresense (Cortex-M4F 156MHz)
100 ms
1536 kB
8192 kB
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Run #5 (Jan 27 2026, 03:26:42, finished)
5%
spectr-conv1d-4c9
PERFORMANCE
LATENCY
104 ms of
100 ms
Exceeds target by 4 ms
RAM
70 kB of
1536 kB
ROM
34 kB of
8192 kB
DSP
NN
Unused
TIME-SERIES INPUT
2000 ms
|
2000 ms
|
Enabled
SPECTROGRAM
0.025 | 0.0125 | -52
ACCURACY (OVERALL)
CLASSIFICATION
0.005 | 100 | 5%
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| conv1d | 8 | 3 | - |
| conv1d | 16 | 3 | - |
| dropout | - | - | 0.5 |
0 1/27/2026, 3:36:01 AM
0%
spectr-conv2d-fe3
PERFORMANCE
LATENCY
222 ms of
100 ms
Exceeds target by 122 ms
RAM
133 kB of
1536 kB
ROM
77 kB of
8192 kB
DSP
NN
Unused
TIME-SERIES INPUT
2000 ms
|
2000 ms
|
Enabled
SPECTROGRAM
0.05 | 0.025 | -52
ACCURACY (OVERALL)
CLASSIFICATION
0.005 | 100 | 0%
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| Data augmentation | |||
| conv2d | 16 | 3 | - |
| conv2d | 32 | 3 | - |
| dropout | - | - | 0.25 |
0 1/27/2026, 3:36:34 AM
0%
spectr-conv2d-29d
PERFORMANCE
LATENCY
130 ms of
100 ms
Exceeds target by 30 ms
RAM
58 kB of
1536 kB
ROM
62 kB of
8192 kB
DSP
NN
Unused
TIME-SERIES INPUT
1000 ms
|
250 ms
|
Enabled
SPECTROGRAM
0.075 | 0.0375 | -52
ACCURACY (OVERALL)
CLASSIFICATION
0.005 | 100 | 0%
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| Data augmentation | |||
| conv2d | 16 | 3 | - |
| conv2d | 32 | 3 | - |
| conv2d | 64 | 3 | - |
| dropout | - | - | 0.25 |
0 1/27/2026, 3:37:19 AM
Training output
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