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EON Tuner

The EON Tuner helps you find the most optimal architecture for your embedded machine-learning application. Clone this project to use the EON Tuner.

Target

No name set

Vision

Nvidia Jetson Nano

100 ms

1024 kB

1024 kB

Filters

Status

DSP type

Network type

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Data set

Precision

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General

F1-score

Precision

Recall

81%
rgb-mobilenetv1-2d8
Show logs
PERFORMANCE
LATENCY
5 ms of 100 ms
RAM
848 kB of 8388608 kB
ROM
923 kB of 16777216 kB
DSP NN Unused
INPUT

160 | 160

IMAGE

RGB

ACCURACY
TRANSFER LEARNING (IMAGES)

0.0005 | 20

MobileNetV1 0.25
64 | 0.1 |

12/22/2022, 4:14:27 PM

80%
rgb-mobilenetv2-b2f
Show logs
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
938 kB of 8388608 kB
ROM
683 kB of 16777216 kB
DSP NN Unused
INPUT

96 | 96

IMAGE

RGB

ACCURACY
TRANSFER LEARNING (IMAGES)

0.0005 | 20

MobileNetV2 0.1
64 | 0.1 |

12/22/2022, 4:17:48 PM

79%
rgb-mobilenetv2-ab3
Show logs
PERFORMANCE
LATENCY
5 ms of 100 ms
RAM
982 kB of 8388608 kB
ROM
2766 kB of 16777216 kB
Exceeds target by 1742 kB
DSP NN Unused
INPUT

96 | 96

IMAGE

RGB

ACCURACY
TRANSFER LEARNING (IMAGES)

0.0005 | 20

MobileNetV2 160x160 0.5
16 | 0.1

12/22/2022, 4:19:13 PM

78%
rgb-mobilenetv1-465
Show logs
PERFORMANCE
LATENCY
5 ms of 100 ms
RAM
641 kB of 8388608 kB
ROM
619 kB of 16777216 kB
DSP NN Unused
INPUT

160 | 160

IMAGE

RGB

ACCURACY
TRANSFER LEARNING (IMAGES)

0.0005 | 20

MobileNetV1 0.2
64 | 0.5 |

12/22/2022, 4:10:34 PM

73%
rgb-mobilenetv1-629
Show logs
PERFORMANCE
LATENCY
1 ms of 100 ms
RAM
332 kB of 8388608 kB
ROM
874 kB of 16777216 kB
DSP NN Unused
INPUT

96 | 96

IMAGE

RGB

ACCURACY
TRANSFER LEARNING (IMAGES)

0.0005 | 20

MobileNetV1 0.25
16 | 0.5 |

12/22/2022, 4:03:28 PM

73%
rgb-mobilenetv1-b4d
Show logs
PERFORMANCE
LATENCY
1 ms of 100 ms
RAM
160 kB of 8388608 kB
ROM
206 kB of 16777216 kB
DSP NN Unused
INPUT

96 | 96

IMAGE

RGB

ACCURACY
TRANSFER LEARNING (IMAGES)

0.0005 | 20

MobileNetV1 0.1
64 | 0.1

12/22/2022, 4:10:23 PM

73%
rgb-mobilenetv2-380
Show logs
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
938 kB of 8388608 kB
ROM
438 kB of 16777216 kB
DSP NN Unused
INPUT

96 | 96

IMAGE

RGB

ACCURACY
TRANSFER LEARNING (IMAGES)

0.0005 | 20

MobileNetV2 0.1
16 | 0.5 |

12/22/2022, 4:20:37 PM

71%
rgb-conv2d-d25
Show logs
PERFORMANCE
LATENCY
6 ms of 100 ms
RAM
89 kB of 8388608 kB
ROM
405 kB of 16777216 kB
DSP NN Unused
INPUT

32 | 32

IMAGE

RGB

ACCURACY
CLASSIFICATION

0.0005 | 10

Type Filters Kernel Rate
conv2d 16 3 -
conv2d 32 3 -
conv2d 64 3 -
conv2d 128 3 -
dropout - - 0.25

12/22/2022, 4:06:24 PM

70%
rgb-mobilenetv2-ab5
Show logs
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
938 kB of 8388608 kB
ROM
438 kB of 16777216 kB
DSP NN Unused
INPUT

96 | 96

IMAGE

RGB

ACCURACY
TRANSFER LEARNING (IMAGES)

0.0005 | 20

MobileNetV2 0.1
16 | 0.1

12/22/2022, 4:04:25 PM

67%
rgb-conv2d-254
Show logs
PERFORMANCE
LATENCY
8 ms of 100 ms
RAM
184 kB of 8388608 kB
ROM
126 kB of 16777216 kB
DSP NN Unused
INPUT

64 | 64

IMAGE

RGB

ACCURACY
CLASSIFICATION

0.0005 | 10

Type Filters Kernel Rate
conv2d 8 3 -
conv2d 16 3 -
conv2d 32 3 -
conv2d 64 3 -
dropout - - 0.25

12/22/2022, 4:01:06 PM

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