vs

 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
 mandelbrot1/97 ±
 spectral-norm †1/47 
 fasta †1/33 
 fannkuch-redux1/23 ±
 n-body1/15 
 k-nucleotide †1/81/8
 reverse-complement1/71/2
 binary-trees1/71/2
 pidigits1/3 
 regex-dna1/21/2±
 Clojure used what fraction? used how many times more? 
Time-used  |-  |---  25% median  75%  ---|  -|
(Elapsed secs)1/971/971/331/111/71/31/2

† 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 
Clojure32.128.94144,4241195  88% 96% 86% 91%
Ruby JRuby3,371.07864.012,262,712866  98% 98% 98% 98%
 spectral-norm 
Clojure18.305.2564,960918  84% 83% 98% 85% †
Ruby JRuby251.58245.32660,988326  29% 35% 17% 24% †
 fasta 
Clojure7.996.5767,4001653  88% 5% 10% 20% †
Ruby JRuby222.09218.60625,440760  22% 22% 38% 24% †
 fannkuch-redux 
Clojure82.0121.3359,1761491  99% 95% 96% 96%
Ruby JRuby1,816.07489.43650,4721426  98% 91% 94% 90%
 n-body 
Clojure27.8726.6162,6242162  99% 2% 3% 2%
Ruby JRuby418.49409.03665,3601137  30% 29% 25% 20%
 k-nucleotide 
Clojure24.8610.20241,9602723  48% 98% 26% 73% †
Ruby JRuby92.2383.491,825,996449  5% 55% 47% 5% †
 reverse-complement 
Clojure4.382.86571,340727  44% 30% 64% 19%
Ruby JRuby26.4619.661,243,664255  12% 49% 61% 15%
 binary-trees 
Clojure50.5615.08572,800750  88% 82% 85% 82%
Ruby JRuby161.45102.931,173,932439  27% 59% 47% 25%
 pidigits 
Clojure5.574.2477,4681944  28% 62% 29% 15%
Ruby JRuby17.5912.66650,764240  77% 29% 18% 16%
 regex-dna 
Clojure5.532.21136,216707  96% 52% 53% 52%
Ruby JRuby12.664.15239,832507  77% 71% 88% 71%
 fasta-redux 
Clojure2.791.3748,8041428  39% 41% 94% 32%
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"
Java(TM) SE Runtime Environment (build 1.8.0-b132)
Java HotSpot(TM) 64-Bit Server VM (build 25.0-b70, mixed mode)

Clojure 1.6

Clojure benchmarks

Home Page: http://clojure.org/

Download: http://clojure.org/downloads

Revised BSD license

  Home   Conclusions   License   Play