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Target: TI LAUNCHXL-CC1352P (Cortex-M4F 48MHz) Clone this project
Experiments 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

TI LAUNCHXL-CC1352P (Cortex-M4F 48MHz)

100 ms

80 kB

352 kB

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F1-score

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Recall

99%
mfe-conv2d-08e
Show logs
PERFORMANCE
LATENCY
1527 ms of 100 ms
Exceeds target by 1427 ms
RAM
21 kB of 80 kB
ROM
45 kB of 352 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.05 | 0.05 | 40

ACCURACY (KERAS)

4/5/2022, 2:28:13 PM

99%
mfe-conv1d-97d
Show logs
PERFORMANCE
LATENCY
205 ms of 100 ms
Exceeds target by 105 ms
RAM
27 kB of 80 kB
ROM
74 kB of 352 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
500 ms |
Enabled

MFE

0.02 | 0.02 | 40

ACCURACY (KERAS)

4/5/2022, 2:25:34 PM

99%
mfe-conv2d-7f0
Show logs
PERFORMANCE
LATENCY
1206 ms of 100 ms
Exceeds target by 1106 ms
RAM
24 kB of 80 kB
ROM
48 kB of 352 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
250 ms |
Enabled

MFE

0.05 | 0.05 | 40

ACCURACY (KERAS)

4/5/2022, 2:23:54 PM

97%
mfe-conv1d-b27
Show logs
PERFORMANCE
LATENCY
21 ms of 100 ms
RAM
23 kB of 80 kB
ROM
46 kB of 352 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
500 ms |
Enabled

MFE

0.05 | 0.05 | 40

ACCURACY (KERAS)

4/5/2022, 2:24:50 PM

97%
mfe-conv1d-f97
Show logs
PERFORMANCE
LATENCY
55 ms of 100 ms
RAM
33 kB of 80 kB
ROM
127 kB of 352 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
250 ms |
Enabled

MFE

0.05 | 0.025 | 40

ACCURACY (KERAS)

4/5/2022, 2:21:42 PM

97%
mfe-conv1d-a7f
Show logs
PERFORMANCE
LATENCY
312 ms of 100 ms
Exceeds target by 212 ms
RAM
25 kB of 80 kB
ROM
46 kB of 352 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
250 ms |
Enabled

MFE

0.032 | 0.032 | 40

ACCURACY (KERAS)

4/5/2022, 2:20:41 PM

97%
mfe-conv1d-939
Show logs
PERFORMANCE
LATENCY
362 ms of 100 ms
Exceeds target by 262 ms
RAM
25 kB of 80 kB
ROM
46 kB of 352 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.05 | 0.025 | 40

ACCURACY (KERAS)

4/5/2022, 2:17:34 PM

96%
mfe-conv1d-b7c
Show logs
PERFORMANCE
LATENCY
117 ms of 100 ms
Exceeds target by 17 ms
RAM
25 kB of 80 kB
ROM
58 kB of 352 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
500 ms |
Enabled

MFE

0.05 | 0.025 | 40

ACCURACY (KERAS)

4/5/2022, 2:22:08 PM

96%
mfe-conv1d-14f
Show logs
PERFORMANCE
LATENCY
203 ms of 100 ms
Exceeds target by 103 ms
RAM
27 kB of 80 kB
ROM
46 kB of 352 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
250 ms |
Enabled

MFE

0.02 | 0.02 | 40

ACCURACY (KERAS)

4/5/2022, 2:20:37 PM

94%
mfe-conv1d-a3f
Show logs
PERFORMANCE
LATENCY
19 ms of 100 ms
RAM
20 kB of 80 kB
ROM
38 kB of 352 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.05 | 0.05 | 40

ACCURACY (KERAS)

4/5/2022, 2:24:14 PM

94%
mfe-conv2d-35c
Show logs
PERFORMANCE
LATENCY
227 ms of 100 ms
Exceeds target by 127 ms
RAM
22 kB of 80 kB
ROM
46 kB of 352 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
500 ms |
Enabled

MFE

0.05 | 0.05 | 40

ACCURACY (KERAS)

4/5/2022, 2:17:39 PM

93%
mfe-conv1d-e60
Show logs
PERFORMANCE
LATENCY
761 ms of 100 ms
Exceeds target by 661 ms
RAM
25 kB of 80 kB
ROM
85 kB of 352 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
500 ms |
Enabled

MFE

0.05 | 0.025 | 40

ACCURACY (KERAS)

4/5/2022, 2:20:08 PM

93%
mfe-conv2d-68b
Show logs
PERFORMANCE
LATENCY
195 ms of 100 ms
Exceeds target by 95 ms
RAM
49 kB of 80 kB
ROM
61 kB of 352 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
250 ms |
Enabled

MFE

0.05 | 0.05 | 40

ACCURACY (KERAS)

4/5/2022, 2:15:33 PM

91%
mfe-conv1d-b55
Show logs
PERFORMANCE
LATENCY
44 ms of 100 ms
RAM
24 kB of 80 kB
ROM
38 kB of 352 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.05 | 0.025 | 40

ACCURACY (KERAS)

4/5/2022, 2:22:55 PM

90%
mfe-conv1d-5b6
Show logs
PERFORMANCE
LATENCY
51 ms of 100 ms
RAM
25 kB of 80 kB
ROM
89 kB of 352 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
250 ms |
Enabled

MFE

0.05 | 0.05 | 40

ACCURACY (KERAS)

4/5/2022, 2:19:11 PM

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