Benchmarks#
The following section provides some performance figures for CleverDocs’s CPU and GPU pipelines/containers on various AWS instance types
PDF de-identification#
For evaluation, we are used 3 PDF documents with total number of pages is 410 which contain scanned documents.
Please look more detail about performance of CleverDoc
in related blog post: Automated PDF de-identification: Performance Analysis
CPU#
Instance Type |
vCPUs |
Memory |
Price |
Throughput |
Latency for 410 |
---|---|---|---|---|---|
32 |
128 |
$1.232 |
4.4 |
98 |
GPU#
Instance Type |
vCPUs |
GPUs |
Memory |
GPU Memory |
Price |
Throughput |
Latency for 410 |
---|---|---|---|---|---|---|---|
32 |
1 |
128 |
16 |
$2.176 |
7.4 |
55 |
Image de-identification#
Dataset:
100 PNG images of scanned documents with text
Resolution: 300 dpi
Width: 2469 px
Height: 3500 px
CPU#
Instance Type |
vCPUs |
Memory |
Price |
Throughput |
Latency for 100 images request (secs) |
---|---|---|---|---|---|
32 |
128 |
$1.232 |
6.8 |
14.5 |
GPU#
Instance Type |
vCPUs |
GPUs |
Memory |
GPU Memory |
Price |
Throughput |
Latency for 100 |
---|---|---|---|---|---|---|---|
32 |
1 |
128 |
16 |
$2.176 |
9 |
11 |