Kosmas Deligkaris / FrogAI-FirstTest Public
Target: Alif HE (Cortex-M55 160MHz + U55-128MACC) 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

Alif HE (Cortex-M55 160MHz + U55-128MACC)

100 ms

13824 kB

5632 kB

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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
38 ms of 100 ms
RAM
46 kB of 13824 kB
ROM
0 kB of 5632 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
23 ms of 100 ms
RAM
30 kB of 13824 kB
ROM
0 kB of 5632 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
9 ms of 100 ms
RAM
22 kB of 13824 kB
ROM
0 kB of 5632 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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