Kosmas Deligkaris / FrogAI-FirstTest Public
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 #4

Sony Spresense (Cortex-M4F 156MHz)

100 ms

1536 kB

8192 kB

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General

F1-score

Precision

Recall

85%
spectr-conv2d-e7e
PERFORMANCE
LATENCY
144 ms of 100 ms
Exceeds target by 44 ms
RAM
73 kB of 1536 kB
ROM
60 kB of 8192 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
250 ms |
Enabled

SPECTROGRAM

0.05 | 0.025 | -32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 85%

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

0 7/10/2025, 3:00:59 AM

75%
spectr-conv1d-a91
PERFORMANCE
LATENCY
31 ms of 100 ms
RAM
28 kB of 1536 kB
ROM
35 kB of 8192 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
500 ms |
Enabled

SPECTROGRAM

0.05 | 0.025 | -72

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 75%

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

0 7/10/2025, 1:57:31 AM

70%
spectr-conv2d-8c1
PERFORMANCE
LATENCY
120 ms of 100 ms
Exceeds target by 20 ms
RAM
47 kB of 1536 kB
ROM
39 kB of 8192 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
250 ms |
Enabled

SPECTROGRAM

0.05 | 0.025 | -72

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 70%

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

0 7/10/2025, 2:36:12 AM

55%
spectr-conv2d-844
PERFORMANCE
LATENCY
93 ms of 100 ms
RAM
47 kB of 1536 kB
ROM
39 kB of 8192 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
250 ms |
Enabled

SPECTROGRAM

0.05 | 0.025 | -72

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 55%

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

0 7/10/2025, 3:14:43 AM

54%
spectr-conv2d-894
PERFORMANCE
LATENCY
108 ms of 100 ms
Exceeds target by 8 ms
RAM
47 kB of 1536 kB
ROM
39 kB of 8192 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
250 ms |
Enabled

SPECTROGRAM

0.05 | 0.025 | -32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 54%

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

0 7/10/2025, 2:31:19 AM