Avi / micro_ros_ei Public
Clone this project

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

Cortex-M7 216MHz

75 ms

340 kB

1024 kB

Filters

Status

DSP type

Network type

View

Data set

Precision

Sort

General

F1-score

Precision

Recall

100%
rgb-mobilenetv1-0b4
Show logs
PERFORMANCE
LATENCY
592 ms of 75 ms
Exceeds target by 517 ms
RAM
135 kB of 340 kB
ROM
320 kB of 1024 kB
DSP NN Unused
INPUT

96 | 96

IMAGE

RGB

ACCURACY
TRANSFER LEARNING (IMAGES)

0.0005 | 20

MobileNetV1 0.25
64 | 0.5

9/10/2022, 8:44:00 AM

100%
grayscale-mobilenetv2-579
Show logs
PERFORMANCE
LATENCY
45 ms of 75 ms
RAM
351 kB of 340 kB
Exceeds target by 11 kB
ROM
581 kB of 1024 kB
DSP NN Unused
INPUT

96 | 96

IMAGE

Grayscale

ACCURACY
TRANSFER LEARNING (IMAGES)

0.0005 | 20

MobileNetV2 0.35
16 | 0.5 |

9/10/2022, 8:48:18 AM

100%
rgb-mobilenetv1-6a5
Show logs
PERFORMANCE
LATENCY
428 ms of 75 ms
Exceeds target by 353 ms
RAM
135 kB of 340 kB
ROM
320 kB of 1024 kB
DSP NN Unused
INPUT

96 | 96

IMAGE

RGB

ACCURACY
TRANSFER LEARNING (IMAGES)

0.0005 | 20

MobileNetV1 0.25
64 | 0.1

9/10/2022, 8:51:18 AM

94%
grayscale-mobilenetv1-9d4
Show logs
PERFORMANCE
LATENCY
546 ms of 75 ms
Exceeds target by 471 ms
RAM
135 kB of 340 kB
ROM
320 kB of 1024 kB
DSP NN Unused
INPUT

96 | 96

IMAGE

Grayscale

ACCURACY
TRANSFER LEARNING (IMAGES)

0.0005 | 20

MobileNetV1 0.25
64 | 0.5

9/10/2022, 8:48:59 AM

89%
rgb-mobilenetv2-bae
Show logs
PERFORMANCE
LATENCY
66 ms of 75 ms
RAM
684 kB of 340 kB
Exceeds target by 344 kB
ROM
219 kB of 1024 kB
DSP NN Unused
INPUT

160 | 160

IMAGE

RGB

ACCURACY
TRANSFER LEARNING (IMAGES)

0.0005 | 20

MobileNetV2 0.1
16 | 0.5

9/10/2022, 8:53:53 AM

83%
grayscale-mobilenetv2-d47
Show logs
PERFORMANCE
LATENCY
70 ms of 75 ms
RAM
684 kB of 340 kB
Exceeds target by 344 kB
ROM
219 kB of 1024 kB
DSP NN Unused
INPUT

160 | 160

IMAGE

Grayscale

ACCURACY
TRANSFER LEARNING (IMAGES)

0.0005 | 20

MobileNetV2 0.1
16 | 0.1 |

9/10/2022, 8:44:46 AM

83%
rgb-mobilenetv2-1ea
Show logs
PERFORMANCE
LATENCY
637 ms of 75 ms
Exceeds target by 562 ms
RAM
674 kB of 340 kB
Exceeds target by 334 kB
ROM
231 kB of 1024 kB
DSP NN Unused
INPUT

160 | 160

IMAGE

RGB

ACCURACY
TRANSFER LEARNING (IMAGES)

0.0005 | 20

MobileNetV2 0.05
64 | 0.5 |

9/10/2022, 8:47:58 AM

78%
rgb-mobilenetv2-7b8
Show logs
PERFORMANCE
LATENCY
66 ms of 75 ms
RAM
674 kB of 340 kB
Exceeds target by 334 kB
ROM
169 kB of 1024 kB
DSP NN Unused
INPUT

160 | 160

IMAGE

RGB

ACCURACY
TRANSFER LEARNING (IMAGES)

0.0005 | 20

MobileNetV2 0.05
16 | 0.1

9/10/2022, 8:51:30 AM

72%
rgb-mobilenetv1-6b4
Show logs
PERFORMANCE
LATENCY
328 ms of 75 ms
Exceeds target by 253 ms
RAM
208 kB of 340 kB
ROM
224 kB of 1024 kB
DSP NN Unused
INPUT

160 | 160

IMAGE

RGB

ACCURACY
TRANSFER LEARNING (IMAGES)

0.0005 | 20

MobileNetV1 0.2
16 | 0.5 |

9/10/2022, 8:43:54 AM

61%
rgb-conv2d-864
Show logs
PERFORMANCE
LATENCY
297 ms of 75 ms
Exceeds target by 222 ms
RAM
51 kB of 340 kB
ROM
36 kB of 1024 kB
DSP NN Unused
INPUT

64 | 64

IMAGE

RGB

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 10

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

9/10/2022, 8:45:13 AM

Help & documentation Get help on the forum Send feedback Contact sales
Join us
Terms of Service Privacy policy