1 : Are the Clojure programs faster? At a glance.

Each chart bar shows, for one unidentified benchmark, how much the fastest Clojure program used compared to the fastest Ruby JRuby program.

(Memory use is only compared for tasks that require memory to be allocated.)


These are not the only compilers and interpreters. These are not the only programs that could be written. These are not the only tasks that could be solved. These are just 10 tiny examples.

 2 : Are the Clojure programs faster? Approximately.

Each table row shows, for one named benchmark, how much the fastest Clojure program used compared to the fastest Ruby JRuby program.

(Memory use is only compared for tasks that require memory to be allocated.)

 Clojure used what fraction? used how many times more? 
Benchmark Time Memory Code
 mandelbrot1/95 ±
 spectral-norm †1/46 
 fasta †1/31 
 fannkuch-redux1/18 ±
 n-body1/14 ±
 k-nucleotide †1/91/5
 binary-trees1/71/2
 reverse-complement1/71/2
 pidigits1/3 
 regex-dna1/2±±
 Clojure used what fraction? used how many times more? 
Time-used  |-  |---  25% median  75%  ---|  -|
(Elapsed secs)1/951/951/311/111/71/31/2

† possible mismatch - one-core program compared to multi-core program.

± read the measurements and then read the program source code.

 3 : Are the Clojure programs faster? Measurements.

These are not the only tasks that could be solved. These are just 10 tiny examples. These are not the only compilers and interpreters. These are not the only programs that could be written.

For each named benchmark, measurements of the fastest Clojure program are shown for comparison against measurements of the fastest Ruby JRuby program.

Program Source Code CPU secs Elapsed secs Memory KB Code B ≈ CPU Load
 mandelbrot 
Clojure32.178.95154,3401195  89% 89% 87% 97%
Ruby JRuby3,308.31847.98762,944866  98% 98% 98% 98%
 spectral-norm 
Clojure18.375.2865,296918  84% 98% 83% 84% †
Ruby JRuby250.63243.93673,640326  21% 24% 31% 28% †
 fasta 
Clojure7.976.6473,5001653  5% 50% 8% 58% †
Ruby JRuby214.27207.73664,912760  27% 35% 20% 22% †
 fannkuch-redux 
Clojure76.3319.9469,4561491  97% 97% 96% 95%
Ruby JRuby1,296.44357.64684,4681426  90% 92% 99% 82%
 n-body 
Clojure28.2027.0173,6641440  98% 3% 2% 3%
Ruby JRuby382.88375.10755,9801137  23% 23% 28% 29%
 k-nucleotide 
Clojure21.878.56403,4682723  68% 36% 84% 69% †
Ruby JRuby85.3580.181,870,964449  8% 37% 20% 45% †
 binary-trees 
Clojure47.0413.93609,300750  83% 87% 89% 81%
Ruby JRuby157.7997.791,168,552402  52% 25% 25% 68%
 reverse-complement 
Clojure4.062.73569,780727  15% 35% 95% 7%
Ruby JRuby24.8418.241,284,372255  22% 14% 14% 88%
 pidigits 
Clojure5.434.1984,5881944  64% 13% 47% 8%
Ruby JRuby18.5412.70666,456242  18% 46% 66% 17%
 regex-dna 
Clojure27.168.59606,564707  69% 92% 75% 81%
Ruby JRuby49.5816.58787,976507  69% 67% 81% 84%
 fasta-redux 
Clojure2.451.3459,7161428  39% 33% 89% 26%
No program

† possible mismatch - one-core program compared to multi-core program.

 4 : Are there other Clojure programs for these benchmarks?

Remember - those are just the fastest Clojure and Ruby JRuby programs measured on this OS/machine. Check if there are other implementations of these benchmark programs for Clojure.

Maybe one of those other Clojure programs is fastest on a different OS/machine.

 5 : Are there other faster programs for these benchmarks?

Remember - those are just the fastest Clojure and Ruby JRuby programs measured on this OS/machine. Check if there are faster implementations of these benchmark programs for other programming languages.

Maybe one of those other programs is fastest on a different OS/machine.

 Clojure :  

java version "1.8.0_25"
Java(TM) SE Runtime Environment (build 1.8.0_25-b17)
Java HotSpot(TM) 64-Bit Server VM (build 25.25-b02, mixed mode)

Clojure 1.6

Clojure benchmarks

Home Page: http://clojure.org/

Download: http://clojure.org/downloads

Revised BSD license

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