Techempower Framework Benchmark 10

Yesterday, Techempower framework benchmark 10 released, no significant changes.. As usual, in my opinion, only update-benchmark are important, since write are always be the biggest bottleneck and read can always be cached. So here's the result for Amazon EC2:

And the result for Peak Hosting:

As seen on the graph and previous benchmark, C++, JavaScript, Scala, Nimrod, Dart, Perl, Go, Java still the top performer. I don't know why EC2 perform lot worse than Peak, maybe because they use non-SSD disk or have lesser processing power.

Here's the result for multiple-queries on Amazon EC2:

And multiple-queries on Peak:

Crystal Internal Benchmark (April 2015)

So, today I stumbled upon a benchmark by Kostya. It's quite interesting to see the result :3
UPDATE: see the newer one (Nov 2016) here.

• gcc (Ubuntu 4.8.2-19ubuntu1) 4.8.2
• Nim Compiler Version 0.10.2 (2014-12-29) [Linux: amd64]
• Crystal 0.5.5 [d814c6c] (Fri Dec 12 22:50:10 UTC 2014)
• go version go1.4 linux/amd64
• DMD64 D Compiler v2.066.1
• V8 version 3.29.62 (candidate)
• rustc 0.13.0-nightly (5745e4195 2014-11-12 22:57:16 +0000)
• Scala compiler version 2.11.4 -- Copyright 2002-2013, LAMP/EPFL
• Nodejs v0.10.25
• PyPy 2.4.0 with GCC 4.6.3
• topaz (ruby-1.9.3p125) (git rev b95c858) [x86_64-linux]
• ruby 2.1.2p95 (2014-05-08 revision 45877) [x86_64-linux]
• Python 2.7.6
• rubinius 2.2.10 (2.1.0 bf61ae2e 2014-06-27 JI) [x86_64-linux-gnu]
• jruby 1.7.19 (1.9.3p551) 2015-01-29 20786bd on Java HotSpot(TM) 64-Bit Server VM 1.7.0_67-b01 +jit [linux-amd64]
• jruby 9.0.0.0.pre1 (2.2.0p0) 2015-01-20 d537cab Java HotSpot(TM) 64-Bit Server VM 24.65-b04 on 1.7.0_67-b01 +jit [linux-amd64]
• Java HotSpot(TM) 64-Bit Server VM (build 24.65-b04, mixed mode)
• julia version 0.3.1
• clang version 3.5-1ubuntu1 (trunk) (based on LLVM 3.5)

Halvak loop finder

Language	Time,s	Memory, Mb
Crystal	15.66	390.9
Nim	16.74	887.7
C++	17.72	174.5
Scala	33.38	341.0
D	34.84	274.2
Go	44.56	424.9
Python Pypy	69.46	730.2
Python	396.54	724.0

Matrix multiplication

Language	Time,s	Memory, Mb
Julia Native	0.69	119.6
C	3.64	69.2
Java	3.68	134.3
Nim	3.73	131.8
D	3.75	71.8
Rust	3.79	100.9
Crystal	3.84	72.1
Go	4.77	75.6
Javascript V8	6.87	81.5
Python Pypy	7.10	89.2
Scala	10.26	154.0
Julia	27.74	159.7
Ruby Topaz	81.41	206.2
Ruby	338.40	82.8
Python	447.39	74.0
Ruby JRuby	412.61	574.9
Ruby JRuby9k	467.99	602.3
Ruby Rbx	591.70	325.0

JSON parse

Language	Time,s	Memory, Mb
C++ Rapid	0.79	687.1
Crystal Schema	1.39	292.3
Crystal Pull	1.75	1.2
Crystal	2.27	1085.8
Nim	3.32	1344.3
Python Pypy	4.99	1365.4
Rust	5.24	1519.1
C++ LibJson	5.49	2796.3
Go	6.27	420.9
Python	9.85	1409.1
Julia	10.48	2342.9
Ruby	10.54	2086.2
Javascript Node	11.61	926.4
C++ Boost	16.44	2915.2
Ruby JRuby9k	18.89	1996.8
Ruby JRuby	25.78	2712.6
D	35.39	926.6
Ruby Rbx	67.13	4681.0
Scala	343.13	2373.0

Base64 encode and decode

Language	Time,s	Memory, Mb
C	2.70	32.3
Ruby	2.73	125.3
Crystal	3.35	82.4
Nim	4.13	52.4
Ruby Rbx	4.29	30.7
C++	5.69	65.5
D	6.05	43.9
Python	7.62	52.6
Rust	7.84	42.9
Javascript Node	7.93	777.1
Python Pypy	8.22	114.6
Ruby JRuby	16.76	496.6
Ruby JRuby9k	17.72	417.1
Julia	19.08	155.7
Go	21.24	94.2
Scala	35.06	301.2

Brainfuck interpreter

Language	Time,s	Memory, Mb
Nim Clang	2.55	0.7
Nim Gcc	4.75	0.6
C++	5.08	1.1
Crystal	6.76	0.9
Go	7.57	1.0
Javascript V8	9.41	8.1
D	9.42	0.9
Rust	9.54	5.0
Scala	11.99	1.6
Javascript Node	17.72	9.5
Python Pypy	20.12	20.8
Ruby JRuby	96.20	97.0
Ruby Topaz	112.91	36.0
Ruby	226.86	8.0
Ruby JRuby9k	241.16	256.6
Julia	354.55	57.0
Python	452.44	4.9
Ruby Rbx	472.08	45.0