Performance on i5 better then on latest i9

[golojads]

I have very basic test and very strange results.

console.time("ROTATE-RESIZE")
sharp('./photo.JPG')
  .rotate(90)
  .resize(200)
  .toBuffer()
    .then(()=> {
      console.timeEnd("ROTATE-RESIZE")
    })

On Macbook Pro Mojave ( Core i5-7267U, 8RAM, Iris VGA) execution time is ~93ms
While on Desktop Ubuntu 18.4 (Core i9-7944X, 16Ram , M2 SSD, Geforce 1050) execution time is ~121ms

I bought this monster PC to speed up resizing, but in reality I got 20% performance decrease.
Do you have any explanation ?

Thank you.

[golojads]

Both running Node v10.13

[golojads]

test/bench/parallel.js results

Macbook:

1 parallel calls: fastest=59ms slowest=59ms mean=59ms
1 parallel calls: fastest=20ms slowest=20ms mean=20ms
{ queue: 0, process: 2 }
2 parallel calls: fastest=32ms slowest=33ms mean=32.5ms
4 parallel calls: fastest=50ms slowest=52ms mean=51.5ms
{ queue: 0, process: 8 }
8 parallel calls: fastest=103ms slowest=96ms mean=91.125ms
{ queue: 0, process: 16 }
{ queue: 0, process: 13 }
16 parallel calls: fastest=118ms slowest=191ms mean=164.625ms
{ queue: 0, process: 32 }
{ queue: 0, process: 32 }
{ queue: 0, process: 22 }
32 parallel calls: fastest=230ms slowest=401ms mean=337.90625ms
{ queue: 4, process: 60 }
{ queue: 0, process: 64 }
{ queue: 0, process: 63 }
{ queue: 0, process: 51 }
{ queue: 0, process: 45 }
{ queue: 0, process: 26 }
64 parallel calls: fastest=192ms slowest=820ms mean=674.359375ms
{ queue: 0, process: 0 }

Ubuntu

1 parallel calls: fastest=56ms slowest=56ms mean=56ms
1 parallel calls: fastest=27ms slowest=27ms mean=27ms
{ queue: 0, process: 2 }
2 parallel calls: fastest=31ms slowest=42ms mean=36.5ms
4 parallel calls: fastest=33ms slowest=42ms mean=37.25ms
{ queue: 0, process: 8 }
8 parallel calls: fastest=40ms slowest=49ms mean=44.125ms
16 parallel calls: fastest=56ms slowest=71ms mean=63.8125ms
{ queue: 0, process: 32 }
{ queue: 0, process: 32 }
32 parallel calls: fastest=127ms slowest=159ms mean=148.40625ms
{ queue: 0, process: 64 }
{ queue: 0, process: 64 }
{ queue: 0, process: 64 }
64 parallel calls: fastest=259ms slowest=313ms mean=304.3125ms
{ queue: 0, process: 0 }

[lovell]

Hello, is this using the latest sharp? Are the prebuilt libvips binaries being used or could vips have been compiled/installed globally? If globally, were the same compiler flags used?

Are you able to run the full set of benchmark tests on each? http://sharp.pixelplumbing.com/en/stable/performance/#running-the-benchmark-test

The newer CPU has a higher clock speed, more cores and a larger CPU cache so I'd expect it to be a bit faster, although you may be approaching the I/O limits of libjpeg.

[golojads]

is this using the latest sharp?

• YES v0.21

Are the prebuilt libvips binaries ...?

• I simply installed latest sharp on both machines. I did not compile/install manually any libraries ( libvips , vips ). Just "npm install sharp"

Are you able to run the full set of benchmark tests on each?

No it is failing on both machines here -> "cd test/bench > npm install" with

npm ERR! imagemagick-native@1.9.3 install: `node-gyp rebuild` npm ERR! Exit status 1

test/bench/parallel.js is the only test I can run

approaching the I/O limits

I'm using this SSD -> Samsung 970 Pro SSD review: The fastest M.2 NVMe drive yet

[lovell]

There are a few prerequisites that need to be installed for the benchmark test dependencies to compile correctly.

http://sharp.pixelplumbing.com/en/stable/performance/#benchmark-test-prerequisites

I should probably create a Docker image to make these easier to run.

[golojads]

False alarm. One file processing make no sense.
Once I run it on 590 different files, each applied unique set of modifications( scale, rotate, combine, extend, extract) - the result on Ubuntu machine was 4.1 times faster. ( 6.81min vs 1.66min)

More than happy.

Thank you for assistance and the package itself.
Do you have donations wallet for "Sharp" ?

[lovell]

Glad you worked it out. If you'd like to donate something, please do so to a homelessness charity local to you.