Kosmas Deligkaris / FrogAI-FirstTest Public
Target: ST STM32N6 (Cortex-M55 800MHz + ST Neural-ART accelerator) 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

Run #5

ST STM32N6 (Cortex-M55 800MHz + ST Neural-ART accelerator)

100 ms

512 kB

32768 kB

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F1-score

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Recall

Run #5 (Jan 27 2026, 03:26:42, finished) Run #4 (Jul 10 2025, 01:46:25, finished) Run #3 (Jul 09 2025, 06:25:04, finished) Run #2 (Jul 09 2025, 06:20:02, finished) Run #1 (Jul 01 2025, 08:15:36, finished)
5%
spectr-conv1d-4c9
PERFORMANCE
LATENCY
10876 ms of 100 ms
Exceeds target by 10776 ms
RAM
70 kB of 512 kB
ROM
34 kB of 32768 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
6627 ms of 100 ms
Exceeds target by 6527 ms
RAM
133 kB of 512 kB
ROM
77 kB of 32768 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
2501 ms of 100 ms
Exceeds target by 2401 ms
RAM
58 kB of 512 kB
ROM
62 kB of 32768 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

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