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 #1
XIAO ESP32S3 Sense
300 ms
512 kB
8192 kB
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Run #1 (May 12 2026, 17:54:20, finished)
97%
rgb-mobilenetv1-a22
PERFORMANCE
LATENCY
1860 ms of
300 ms
Exceeds target by 1560 ms
RAM
255 kB of
512 kB
ROM
284 kB of
8192 kB
DSP
NN
Unused
IMAGE INPUT
160
|
160
IMAGE
RGB
ACCURACY (OVERALL)
TRANSFER LEARNING (IMAGES)
0.0005 | 20 | 97%
MobileNetV1 0.25
16
|
0.5
|
0 5/12/2026, 7:26:05 PM
97%
rgb-mobilenetv1-604
PERFORMANCE
LATENCY
2501 ms of
300 ms
Exceeds target by 2201 ms
RAM
255 kB of
512 kB
ROM
284 kB of
8192 kB
DSP
NN
Unused
IMAGE INPUT
160
|
160
IMAGE
RGB
ACCURACY (OVERALL)
TRANSFER LEARNING (IMAGES)
0.0005 | 20 | 97%
MobileNetV1 0.25
16
|
0.1
|
0 5/12/2026, 7:47:47 PM
96%
rgb-mobilenetv1-b44
PERFORMANCE
LATENCY
986 ms of
300 ms
Exceeds target by 686 ms
RAM
127 kB of
512 kB
ROM
284 kB of
8192 kB
DSP
NN
Unused
IMAGE INPUT
96
|
96
IMAGE
RGB
ACCURACY (OVERALL)
TRANSFER LEARNING (IMAGES)
0.0005 | 20 | 96%
MobileNetV1 0.25
16
|
0.1
0 5/12/2026, 8:59:22 PM
92%
rgb-mobilenetv1-2a0
PERFORMANCE
LATENCY
980 ms of
300 ms
Exceeds target by 680 ms
RAM
127 kB of
512 kB
ROM
284 kB of
8192 kB
DSP
NN
Unused
IMAGE INPUT
96
|
96
IMAGE
RGB
ACCURACY (OVERALL)
TRANSFER LEARNING (IMAGES)
0.0005 | 20 | 92%
MobileNetV1 0.25
16
|
0.5
0 5/12/2026, 7:37:52 PM
rgb-mobilenetv1-451
PERFORMANCE
LATENCY
300 ms
RAM
512 kB
ROM
8192 kB
Unused
IMAGE INPUT
160
|
160
IMAGE
RGB
ACCURACY (KERAS-TRANSFER-IMAGE)
TRANSFER LEARNING (IMAGES)
0.0005 | 20
MobileNetV1 0.25
16
|
0.1
0
Training output
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