Brainchip / Akida Image Classification Public
Target: BrainChip AKD1000 MINI PCIe Board Clone this project
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Target

No name set

BrainChip AKD1000 MINI PCIe Board

100 ms

524288 kB

16384 kB

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General

F1-score

Precision

Recall

91%
rgb-other-d47
Show logs
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
4 kB of 524288 kB
ROM
829 kB of 16384 kB
Allocated NPs
33
Activity sparsity
69.47%
MACs
357642988
DSP NN Unused
IMAGE INPUT

224 |
224

IMAGE

RGB

ACCURACY (KERAS-AKIDA-TRANSFER-IMAGE)
TRANSFER LEARNING (IMAGES) - BRAINCHIP AKIDA™

0.0005 | 20 | 91%

Type Filters Kernel Rate
transfer_akidanet_imagenet_160_a50 64 - 0.5

8/8/2023, 1:26:44 PM

91%
rgb-other-d4e
Show logs
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
4 kB of 524288 kB
ROM
810 kB of 16384 kB
Allocated NPs
33
Activity sparsity
69.39%
MACs
357556228
DSP NN Unused
IMAGE INPUT

224 |
224

IMAGE

RGB

ACCURACY (KERAS-AKIDA-TRANSFER-IMAGE)
TRANSFER LEARNING (IMAGES) - BRAINCHIP AKIDA™

0.0005 | 20 | 91%

Type Filters Kernel Rate
transfer_akidanet_imagenet_160_a50 16 - 0.1

8/8/2023, 2:00:39 PM

88%
rgb-conv2d-b3a
Show logs
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
4 kB of 524288 kB
ROM
62 kB of 16384 kB
Allocated NPs
4
Activity sparsity
81.08%
MACs
3766672
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

RGB

ACCURACY (KERAS-AKIDA)
CLASSIFICATION - BRAINCHIP AKIDA™

0.0005 | 10 | 88%

Type Filters Kernel Rate
conv2d 8 3 -
conv2d 16 3 -
dropout - - 0.5

8/8/2023, 1:11:52 PM

72%
grayscale-conv2d-606
Show logs
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
4 kB of 524288 kB
ROM
42 kB of 16384 kB
Allocated NPs
6
Activity sparsity
95.28%
MACs
4230409
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

Grayscale

ACCURACY (KERAS-AKIDA)
CLASSIFICATION - BRAINCHIP AKIDA™

0.0005 | 10 | 72%

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

8/8/2023, 1:12:41 PM

71%
rgb-other-184
Show logs
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
4 kB of 524288 kB
ROM
829 kB of 16384 kB
Allocated NPs
33
Activity sparsity
68.19%
MACs
350037225
DSP NN Unused
IMAGE INPUT

224 |
224

IMAGE

RGB

ACCURACY (KERAS-AKIDA-TRANSFER-IMAGE)
TRANSFER LEARNING (IMAGES) - BRAINCHIP AKIDA™

0.0005 | 20 | 71%

Type Filters Kernel Rate
transfer_akidanet_imagenet_160_a50 64 - 0.1

8/8/2023, 1:42:20 PM

67%
grayscale-other-480
Show logs
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
4 kB of 524288 kB
ROM
715 kB of 16384 kB
Allocated NPs
25
Activity sparsity
73.13%
MACs
176764137
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

Grayscale

ACCURACY (KERAS-AKIDA-TRANSFER-IMAGE)
TRANSFER LEARNING (IMAGES) - BRAINCHIP AKIDA™

0.0005 | 20 | 67%

Type Filters Kernel Rate
transfer_akidanet_imagenet_224_a50 64 - 0.1

8/8/2023, 1:19:56 PM

62%
grayscale-other-c36
Show logs
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
4 kB of 524288 kB
ROM
828 kB of 16384 kB
Allocated NPs
33
Activity sparsity
76.98%
MACs
346424553
DSP NN Unused
IMAGE INPUT

224 |
224

IMAGE

Grayscale

ACCURACY (KERAS-AKIDA-TRANSFER-IMAGE)
TRANSFER LEARNING (IMAGES) - BRAINCHIP AKIDA™

0.0005 | 20 | 62%

Type Filters Kernel Rate
transfer_akidanet_imagenet_160_a50 64 - 0.5

8/8/2023, 1:23:33 PM

57%
grayscale-other-f2c
Show logs
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
4 kB of 524288 kB
ROM
715 kB of 16384 kB
Allocated NPs
25
Activity sparsity
74.60%
MACs
176764137
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

Grayscale

ACCURACY (KERAS-AKIDA-TRANSFER-IMAGE)
TRANSFER LEARNING (IMAGES) - BRAINCHIP AKIDA™

0.0005 | 20 | 57%

Type Filters Kernel Rate
transfer_akidanet_imagenet_224_a50 64 - 0.5

8/8/2023, 1:29:37 PM

24%
rgb-other-0cb
Show logs
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
4 kB of 524288 kB
ROM
697 kB of 16384 kB
Allocated NPs
25
Activity sparsity
68.56%
MACs
178582593
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

RGB

ACCURACY (KERAS-AKIDA-TRANSFER-IMAGE)
TRANSFER LEARNING (IMAGES) - BRAINCHIP AKIDA™

0.0005 | 20 | 24%

Type Filters Kernel Rate
transfer_akidanet_imagenet_160_a50 16 - 0.1

8/8/2023, 1:22:28 PM

rgb-other-d54
Show logs
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
4 kB of 524288 kB
ROM
810 kB of 16384 kB
Allocated NPs
33
Activity sparsity
69.29%
MACs
350012481
DSP NN Unused
IMAGE INPUT

224 |
224

IMAGE

RGB

ACCURACY (KERAS-AKIDA-TRANSFER-IMAGE)
TRANSFER LEARNING (IMAGES) - BRAINCHIP AKIDA™

0.0005 | 20 | 0%

Type Filters Kernel Rate
transfer_akidanet_imagenet_160_a50 16 - 0.5

8/8/2023, 1:40:38 PM

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