Tag Archives: Nightly builds

[13 flat] Results for Node (master branch) 2017-10-20

Results for project node/master, build date: 2017-10-20 01:18:35-07:00.

  • commit: c3ae57f2536d3d7f3f496d6ee3e922c671ad7215
  • previous commit: 7be4a84c667f41da130163d083747dbd4187f1bd
  • revision date: N/A
  • environment: Broadwell-EP
    • cpu: Intel(R) Xeon(R) CPU E5-2699 v4 @ 2.20GHz 2×22 cores, stepping 1, LLC 55 MB
    • mem: 128 GB
    • os: Ubuntu 16.04.2 LTS
    • kernel: 4.4.0-62-generic x86_64 GNU/Linux

Baseline results were generated using release v6.11.3-1-g7cde322, with hash 7cde322c7fdc08630e528eab1caa3f4bd41ce2c2 from 2017-09-05 19:43:48+00:00.

benchmark relative std_dev* change since last run change since baseline
😐 LETS-CHAT-v0.4.8 0.706% +0.228% +0.419%
😐 Node-DC-SSR-v0.8 1.809% +1.513% +36.036%
😐 NODE-DC-EIS-v1.1.1 1.606% -0.832% +31.722%
😐 Arrays-Array 0.455% +0.080% -38.578%
😐 Arrays-Buffer 0.544% +0.228% -30.743%
😐 Arrays-Float32Array 0.569% -0.163% -25.339%
😐 Arrays-Float64Array 1.622% +0.000% -32.360%
😐 Arrays-Int16Array 0.567% -0.240% -30.927%
😐 Arrays-Int32Array 0.454% +0.015% -29.456%
😐 Arrays-Int8Array 0.335% -0.010% -29.125%
😐 Arrays-Uint16Array 0.671% +0.006% -29.472%
😐 Arrays-Uint32Array 0.511% +0.509% -28.463%
😐 Arrays-Uint8Array 0.713% -0.014% -30.064%

* Relative Standard Deviation (Standard Deviation/Average)

Our lab does a nightly source pull and build of the Node.JS project and measures performance changes against the previous stable version and the previous nightly measurement. This is provided as a service to the community so that quality issues with current hardware can be identified quickly.

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration.

[65 flat] Results for Python (master branch) 2017-10-20

Results for project python/master, build date: 2017-10-20 03:03:16-07:00.

  • commit: 525f40d
  • previous commit: 05a634b
  • revision date: 2017-10-19 15:46:40-04:00
  • environment: Broadwell-EP
    • cpu: Intel(R) Xeon(R) CPU E5-2699 v4 @ 2.20GHz 2×22 cores, stepping 1, LLC 55 MB
    • mem: 128 GB
    • os: Ubuntu 16.04.2 LTS
    • kernel: 4.4.0-62-generic x86_64 GNU/Linux

Baseline results were generated using release v3.6.0, with hash 5c4568a from 2016-12-22 23:38:47+00:00.

benchmark relative std_dev* change since last run change since baseline current rev run with PGO
😐 2to3 1.114% +0.098% +4.991% +7.014%
😐 call_method 0.151% +0.132% +16.847% +17.945%
😐 call_method_slots 0.236% +0.084% +17.525% +18.268%
😐 call_method_unknown 0.521% -0.061% +16.570% +16.295%
😐 call_simple 1.874% +0.066% -1.666% +14.754%
😐 chameleon 1.235% +0.247% +8.038% +11.954%
😐 chaos 1.228% +0.019% +5.118% +11.715%
😐 crypto_pyaes 0.579% +0.070% +3.926% +5.133%
😐 deltablue 3.448% -0.056% +8.645% +18.042%
😐 django_template 4.111% -1.059% +8.603% +14.584%
😐 dulwich_log 1.046% -0.688% +2.819% +8.241%
😐 fannkuch 0.271% +0.040% +5.123% +2.797%
😐 float 0.890% -0.174% +2.752% +6.864%
😐 genshi_text 1.192% +0.209% +7.008% +13.042%
😐 genshi_xml 1.466% +0.242% +5.976% +10.165%
😐 go 0.771% -0.084% +5.283% +12.323%
😐 hexiom 0.687% -0.115% +8.244% +12.068%
😐 html5lib 2.862% +0.030% +7.810% +9.697%
😐 json_dumps 1.910% +0.353% +3.071% +10.129%
😐 json_loads 2.715% -0.028% +3.005% +11.048%
😐 logging_format 1.237% -1.244% +6.823% +11.187%
😐 logging_silent 2.418% +0.670% +46.918% +11.313%
😐 logging_simple 1.588% -1.100% +7.692% +13.566%
😐 mako 0.536% -0.106% +18.815% +10.649%
😐 mdp 1.201% +0.245% +8.461% +10.261%
😐 meteor_contest 2.543% -0.206% +2.989% +5.040%
😐 nbody 0.430% +0.154% -0.817% -0.048%
😐 nqueens 0.569% +0.220% +1.176% +8.557%
😐 pathlib 1.869% -1.693% +1.985% +10.616%
😐 pickle 1.478% +0.468% +1.297% +20.012%
😐 pickle_dict 0.232% +0.087% +2.118% +18.183%
😐 pickle_list 0.761% +0.144% +5.136% +14.411%
😐 pickle_pure_python 6.452% -1.096% +9.951% +11.077%
😐 pidigits 0.144% +0.001% +0.303% +9.302%
😐 python_startup 0.125% -0.001% +10.887% +4.672%
😐 python_startup_no_site 0.086% -0.017% +2.338% +4.779%
😐 raytrace 1.310% -0.577% +8.683% +13.991%
😐 regex_compile 5.343% -1.682% -0.104% +10.206%
😐 regex_dna 0.339% +0.331% -1.897% +12.857%
😐 regex_effbot 3.065% +0.246% -2.438% +5.319%
😐 regex_v8 1.135% +0.317% +5.957% +8.425%
😐 richards 1.278% +0.457% +6.516% +15.239%
😐 scimark_fft 0.716% +0.040% +0.071% +1.788%
😐 scimark_lu 1.555% -0.037% +26.080% +9.692%
😐 scimark_monte_carlo 2.610% +0.702% +3.600% +5.521%
😐 scimark_sor 0.913% +0.089% +12.094% +9.546%
😐 scimark_sparse_mat_mult 1.213% -0.026% -2.015% +0.164%
😐 spectral_norm 3.158% -1.183% +2.592% +3.264%
😐 sqlalchemy_declarative 1.298% +0.237% +6.980% +6.022%
😐 sqlalchemy_imperative 2.812% +1.067% +6.024% +4.738%
😐 sqlite_synth 6.385% +1.326% +18.609% +10.601%
😐 sympy_expand 2.920% +0.234% +11.069% +8.678%
😐 sympy_integrate 1.917% +0.164% +9.007% +7.453%
😐 sympy_str 4.428% +0.687% +10.084% +9.454%
😐 sympy_sum 4.884% +1.213% +11.909% +8.707%
😐 telco 4.134% -0.792% +21.621% +12.494%
😐 tornado_http 1.260% -0.034% +5.065% +6.518%
😐 unpack_sequence 0.661% +0.234% +0.993% +0.344%
😐 unpickle 10.394% -1.314% +6.656% +21.166%
😐 unpickle_list 1.137% -0.244% -1.036% +16.748%
😐 unpickle_pure_python 1.445% -0.106% +6.618% +7.319%
😐 xml_etree_generate 1.045% -0.354% +3.731% +9.142%
😐 xml_etree_iterparse 3.372% -0.334% +0.302% +7.942%
😐 xml_etree_parse 4.506% -0.453% -8.143% +11.164%
😐 xml_etree_process 2.237% -0.232% +4.047% +9.925%

* Relative Standard Deviation (Standard Deviation/Average)

Our lab does a nightly source pull and build of the Python project and measures performance changes against the previous stable version and the previous nightly measurement. This is provided as a service to the community so that quality issues with current hardware can be identified quickly.

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration.

[10 down, 3 flat] Results for Node (master branch) 2017-10-19

Results for project node/master, build date: 2017-10-19 01:21:40-07:00.

  • commit: 7be4a84c667f41da130163d083747dbd4187f1bd
  • previous commit: 9be3d99b2b94d8a08b5a36efb06f3a6fd196805a
  • revision date: N/A
  • environment: Broadwell-EP
    • cpu: Intel(R) Xeon(R) CPU E5-2699 v4 @ 2.20GHz 2×22 cores, stepping 1, LLC 55 MB
    • mem: 128 GB
    • os: Ubuntu 16.04.2 LTS
    • kernel: 4.4.0-62-generic x86_64 GNU/Linux

Baseline results were generated using release v6.11.3-1-g7cde322, with hash 7cde322c7fdc08630e528eab1caa3f4bd41ce2c2 from 2017-09-05 19:43:48+00:00.

benchmark relative std_dev* change since last run change since baseline
😐 LETS-CHAT-v0.4.8 0.828% -1.930% +0.191%
😐 Node-DC-SSR-v0.8 2.983% -4.313% +34.009%
😐 NODE-DC-EIS-v1.1.1 2.086% -3.250% +32.828%
🙁 Arrays-Array 0.405% -11.917% -38.627%
🙁 Arrays-Buffer 0.337% -18.388% -30.901%
🙁 Arrays-Float32Array 0.543% -17.187% -25.217%
🙁 Arrays-Float64Array 0.717% -13.685% -32.360%
🙁 Arrays-Int16Array 0.342% -17.908% -30.760%
🙁 Arrays-Int32Array 0.519% -16.677% -29.467%
🙁 Arrays-Int8Array 0.276% -18.311% -29.118%
🙁 Arrays-Uint16Array 0.333% -20.304% -29.476%
🙁 Arrays-Uint32Array 0.610% -17.559% -28.825%
🙁 Arrays-Uint8Array 0.440% -18.129% -30.054%

* Relative Standard Deviation (Standard Deviation/Average)

Our lab does a nightly source pull and build of the Node.JS project and measures performance changes against the previous stable version and the previous nightly measurement. This is provided as a service to the community so that quality issues with current hardware can be identified quickly.

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration.

[7 down, 58 flat] Results for Python (master branch) 2017-10-19

Results for project python/master, build date: 2017-10-19 03:03:15-07:00.

  • commit: 05a634b
  • previous commit: 59af94f
  • revision date: 2017-10-19 17:41:59+10:00
  • environment: Broadwell-EP
    • cpu: Intel(R) Xeon(R) CPU E5-2699 v4 @ 2.20GHz 2×22 cores, stepping 1, LLC 55 MB
    • mem: 128 GB
    • os: Ubuntu 16.04.2 LTS
    • kernel: 4.4.0-62-generic x86_64 GNU/Linux

Baseline results were generated using release v3.6.0, with hash 5c4568a from 2016-12-22 23:38:47+00:00.

benchmark relative std_dev* change since last run change since baseline current rev run with PGO
😐 2to3 1.137% +0.086% +4.897% +7.415%
🙁 call_method 0.357% -2.032% +16.737% +15.279%
🙁 call_method_slots 0.318% -2.576% +17.456% +15.557%
🙁 call_method_unknown 0.299% -2.221% +16.620% +14.045%
🙁 call_simple 1.569% -5.492% -1.734% +19.178%
😐 chameleon 1.334% -2.047% +7.811% +13.194%
😐 chaos 0.942% -2.342% +5.099% +11.523%
😐 crypto_pyaes 0.417% +0.240% +3.859% +5.347%
😐 deltablue 3.613% +6.503% +8.696% +18.333%
😐 django_template 2.982% +0.242% +9.561% +11.430%
😐 dulwich_log 1.115% -1.042% +3.483% +7.625%
😐 fannkuch 0.323% -1.386% +5.085% +5.846%
😐 float 0.695% -0.221% +2.921% +6.810%
😐 genshi_text 1.350% -2.225% +6.813% +13.313%
😐 genshi_xml 1.614% +0.373% +5.747% +9.753%
😐 go 0.730% -0.213% +5.362% +12.331%
😐 hexiom 0.437% -0.896% +8.349% +12.153%
😐 html5lib 2.954% -1.237% +7.782% +9.702%
😐 json_dumps 2.483% -0.633% +2.728% +9.877%
😐 json_loads 2.701% -0.439% +3.032% +9.515%
😐 logging_format 1.570% -0.572% +7.968% +10.277%
😐 logging_silent 2.902% +0.753% +46.560% +12.839%
😐 logging_simple 1.563% +0.369% +8.696% +11.840%
😐 mako 0.489% +1.575% +18.901% +11.104%
😐 mdp 1.731% -0.682% +8.236% +10.658%
😐 meteor_contest 2.896% -0.417% +3.189% +5.932%
😐 nbody 0.824% -0.859% -0.972% +2.463%
😐 nqueens 1.157% -1.545% +0.958% +8.317%
😐 pathlib 1.239% -1.629% +3.616% +12.323%
😐 pickle 2.658% +1.614% +0.833% +21.795%
🙁 pickle_dict 0.232% -2.943% +2.032% +21.397%
😐 pickle_list 0.818% -0.899% +4.999% +15.674%
😐 pickle_pure_python 3.659% -0.823% +10.927% +9.971%
😐 pidigits 0.130% -0.056% +0.302% +9.321%
😐 python_startup 0.133% -0.002% +10.887% +4.830%
😐 python_startup_no_site 0.089% +0.116% +2.355% +4.958%
😐 raytrace 0.993% +0.957% +9.207% +14.093%
😐 regex_compile 5.534% -3.087% +1.552% +13.303%
🙁 regex_dna 1.212% -4.265% -2.235% +12.946%
😐 regex_effbot 3.073% -0.748% -2.691% +6.063%
😐 regex_v8 1.915% -4.165% +5.658% +6.715%
😐 richards 2.760% -0.795% +6.087% +15.380%
😐 scimark_fft 2.043% -2.678% +0.032% +1.960%
😐 scimark_lu 1.685% -1.724% +26.108% +10.191%
😐 scimark_monte_carlo 2.237% -1.540% +2.919% +8.779%
😐 scimark_sor 0.931% -3.370% +12.016% +12.115%
🙁 scimark_sparse_mat_mult 1.203% -4.196% -1.989% -4.212%
😐 spectral_norm 2.576% -3.164% +3.731% +1.737%
😐 sqlalchemy_declarative 1.164% -0.082% +6.759% +5.496%
😐 sqlalchemy_imperative 2.964% -1.368% +5.010% +5.313%
😐 sqlite_synth 5.516% -1.947% +17.515% +12.463%
😐 sympy_expand 2.873% -1.015% +10.860% +8.337%
😐 sympy_integrate 2.543% -1.384% +8.857% +7.260%
😐 sympy_str 4.638% -1.059% +9.462% +10.170%
😐 sympy_sum 5.339% -0.933% +10.828% +9.495%
😐 telco 3.092% -0.650% +22.238% +9.726%
😐 tornado_http 1.163% -1.314% +5.097% +6.875%
😐 unpack_sequence 1.458% -1.414% +0.761% +1.344%
😐 unpickle 9.116% +0.106% +7.867% +20.646%
😐 unpickle_list 0.778% +1.171% -0.790% +17.529%
😐 unpickle_pure_python 0.739% -1.536% +6.717% +7.602%
😐 xml_etree_generate 1.002% -2.086% +4.071% +9.959%
😐 xml_etree_iterparse 3.274% -0.240% +0.634% +8.794%
😐 xml_etree_parse 3.881% +2.510% -7.655% +11.510%
😐 xml_etree_process 2.269% -1.359% +4.269% +10.473%

* Relative Standard Deviation (Standard Deviation/Average)

Our lab does a nightly source pull and build of the Python project and measures performance changes against the previous stable version and the previous nightly measurement. This is provided as a service to the community so that quality issues with current hardware can be identified quickly.

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration.

[13 flat] Results for Node (master branch) 2017-10-18

Results for project node/master, build date: 2017-10-18 01:18:28-07:00.

  • commit: 9be3d99b2b94d8a08b5a36efb06f3a6fd196805a
  • previous commit: 7ab0a9a3c841d61593891b0a86cb9c2dc7483248
  • revision date: N/A
  • environment: Broadwell-EP
    • cpu: Intel(R) Xeon(R) CPU E5-2699 v4 @ 2.20GHz 2×22 cores, stepping 1, LLC 55 MB
    • mem: 128 GB
    • os: Ubuntu 16.04.2 LTS
    • kernel: 4.4.0-62-generic x86_64 GNU/Linux

Baseline results were generated using release v6.11.3-1-g7cde322, with hash 7cde322c7fdc08630e528eab1caa3f4bd41ce2c2 from 2017-09-05 19:43:48+00:00.

benchmark relative std_dev* change since last run change since baseline
😐 LETS-CHAT-v0.4.8 0.303% -0.040% +2.162%
😐 Node-DC-SSR-v0.8 2.881% +0.803% +40.049%
😐 NODE-DC-EIS-v1.1.1 1.974% +0.455% +37.289%
😐 Arrays-Array 0.898% +0.223% -30.323%
😐 Arrays-Buffer 0.612% +0.286% -15.331%
😐 Arrays-Float32Array 0.855% -0.084% -9.697%
😐 Arrays-Float64Array 1.116% -0.478% -21.636%
😐 Arrays-Int16Array 0.356% +0.434% -15.656%
😐 Arrays-Int32Array 1.004% -0.415% -15.350%
😐 Arrays-Int8Array 0.585% -0.182% -13.229%
😐 Arrays-Uint16Array 9.182% +1.622% -11.508%
😐 Arrays-Uint32Array 0.454% -0.701% -13.665%
😐 Arrays-Uint8Array 1.142% -0.083% -14.565%

* Relative Standard Deviation (Standard Deviation/Average)

Our lab does a nightly source pull and build of the Node.JS project and measures performance changes against the previous stable version and the previous nightly measurement. This is provided as a service to the community so that quality issues with current hardware can be identified quickly.

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration.

[3 down, 1 up, 61 flat] Results for Python (master branch) 2017-10-18

Results for project python/master, build date: 2017-10-18 03:03:14-07:00.

  • commit: 59af94f
  • previous commit: 2bd37c2
  • revision date: 2017-10-18 10:13:09+03:00
  • environment: Broadwell-EP
    • cpu: Intel(R) Xeon(R) CPU E5-2699 v4 @ 2.20GHz 2×22 cores, stepping 1, LLC 55 MB
    • mem: 128 GB
    • os: Ubuntu 16.04.2 LTS
    • kernel: 4.4.0-62-generic x86_64 GNU/Linux

Baseline results were generated using release v3.6.0, with hash 5c4568a from 2016-12-22 23:38:47+00:00.

benchmark relative std_dev* change since last run change since baseline current rev run with PGO
😐 2to3 1.143% -0.014% +4.815% +8.359%
🙁 call_method 0.523% -2.369% +18.395% +14.032%
😐 call_method_slots 0.663% -1.673% +19.529% +14.936%
🙁 call_method_unknown 0.611% -3.013% +18.432% +12.935%
😐 call_simple 2.202% -0.809% +3.563% +12.445%
😐 chameleon 1.656% -0.646% +9.660% +9.733%
😐 chaos 0.678% +0.334% +7.271% +10.391%
😐 crypto_pyaes 0.725% -0.797% +3.628% +7.005%
😐 deltablue 2.982% -1.547% +2.345% +23.926%
😐 django_template 5.105% +3.432% +9.341% +13.163%
😐 dulwich_log 1.091% -0.102% +4.478% +6.371%
😐 fannkuch 0.567% -0.886% +6.383% +3.396%
😐 float 0.458% -0.515% +3.135% +7.083%
😐 genshi_text 1.298% +0.511% +8.841% +11.155%
😐 genshi_xml 1.604% -2.109% +5.394% +11.286%
😐 go 0.879% -0.509% +5.563% +11.185%
😐 hexiom 0.918% +0.360% +9.163% +10.153%
😐 html5lib 3.001% -0.017% +8.909% +8.882%
😐 json_dumps 1.249% -0.791% +3.340% +8.400%
🙂 json_loads 1.203% +5.264% +3.456% +9.525%
😐 logging_format 1.896% -1.188% +8.492% +11.015%
😐 logging_silent 2.771% +0.230% +46.154% +11.920%
😐 logging_simple 2.077% -1.939% +8.358% +13.195%
😐 mako 0.628% +0.067% +17.603% +11.953%
😐 mdp 1.682% -0.384% +8.857% +10.169%
😐 meteor_contest 1.971% +1.315% +3.591% +4.569%
😐 nbody 0.680% +1.973% -0.113% -0.050%
😐 nqueens 0.825% +0.558% +2.465% +7.709%
😐 pathlib 1.454% +0.173% +5.161% +10.903%
😐 pickle 1.426% -0.548% -0.794% +22.089%
😐 pickle_dict 0.860% +1.763% +4.833% +16.159%
😐 pickle_list 0.632% +1.256% +5.845% +14.503%
😐 pickle_pure_python 5.443% +0.301% +11.654% +9.467%
😐 pidigits 0.049% +0.140% +0.358% +9.774%
😐 python_startup 0.125% -0.134% +10.889% +5.056%
😐 python_startup_no_site 0.092% -0.089% +2.242% +5.018%
😐 raytrace 2.553% -1.712% +8.329% +15.273%
😐 regex_compile 5.429% +0.815% +4.500% +10.677%
😐 regex_dna 1.400% -0.264% +1.947% +7.757%
😐 regex_effbot 1.600% -0.302% -1.928% +5.245%
😐 regex_v8 2.818% +0.587% +9.430% +2.962%
😐 richards 1.141% -1.436% +6.828% +15.334%
😐 scimark_fft 0.341% -0.669% +2.639% +0.264%
😐 scimark_lu 0.911% +0.514% +27.360% +5.521%
😐 scimark_monte_carlo 2.394% +0.110% +4.392% +7.070%
😐 scimark_sor 1.710% +0.136% +14.884% +9.133%
😐 scimark_sparse_mat_mult 1.766% +1.574% +2.119% -0.590%
😐 spectral_norm 0.417% +0.553% +6.684% +0.530%
😐 sqlalchemy_declarative 1.058% +0.088% +6.835% +9.161%
😐 sqlalchemy_imperative 3.231% -0.233% +6.293% +5.478%
😐 sqlite_synth 5.365% -0.021% +19.090% +8.132%
😐 sympy_expand 2.697% +2.172% +11.756% +8.140%
😐 sympy_integrate 1.820% +0.326% +10.101% +6.910%
😐 sympy_str 5.087% +1.558% +10.410% +10.436%
😐 sympy_sum 5.442% -0.149% +11.652% +11.332%
😐 telco 6.718% +0.729% +22.740% +7.323%
😐 tornado_http 0.977% +0.365% +6.328% +6.508%
😐 unpack_sequence 0.794% -0.416% +2.145% -1.263%
😐 unpickle 8.450% -1.907% +7.769% +21.019%
🙁 unpickle_list 1.010% -2.982% -1.985% +18.862%
😐 unpickle_pure_python 1.122% -0.363% +8.129% +4.899%
😐 xml_etree_generate 0.951% +0.392% +6.032% +6.359%
😐 xml_etree_iterparse 2.415% -0.699% +0.872% +8.104%
😐 xml_etree_parse 4.556% -1.336% -10.427% +14.549%
😐 xml_etree_process 2.080% +0.062% +5.553% +8.577%

* Relative Standard Deviation (Standard Deviation/Average)

Our lab does a nightly source pull and build of the Python project and measures performance changes against the previous stable version and the previous nightly measurement. This is provided as a service to the community so that quality issues with current hardware can be identified quickly.

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration.

[13 flat] Results for Node (master branch) 2017-10-17

Results for project node/master, build date: 2017-10-17 01:18:50-07:00.

  • commit: 7ab0a9a3c841d61593891b0a86cb9c2dc7483248
  • previous commit: c81fd7c5ea94685d6aaf175f24a547b3e95b5089
  • revision date: N/A
  • environment: Broadwell-EP
    • cpu: Intel(R) Xeon(R) CPU E5-2699 v4 @ 2.20GHz 2×22 cores, stepping 1, LLC 55 MB
    • mem: 128 GB
    • os: Ubuntu 16.04.2 LTS
    • kernel: 4.4.0-62-generic x86_64 GNU/Linux

Baseline results were generated using release v6.11.3-1-g7cde322, with hash 7cde322c7fdc08630e528eab1caa3f4bd41ce2c2 from 2017-09-05 19:43:48+00:00.

benchmark relative std_dev* change since last run change since baseline
😐 LETS-CHAT-v0.4.8 0.388% -0.321% +2.203%
😐 Node-DC-SSR-v0.8 1.977% -1.641% +38.934%
😐 NODE-DC-EIS-v1.1.1 2.268% -0.344% +36.667%
😐 Arrays-Array 1.624% -0.001% -30.478%
😐 Arrays-Buffer 0.557% -0.094% -15.573%
😐 Arrays-Float32Array 0.984% +0.173% -9.621%
😐 Arrays-Float64Array 0.699% -0.242% -21.259%
😐 Arrays-Int16Array 0.750% -0.578% -16.020%
😐 Arrays-Int32Array 0.996% -0.602% -14.997%
😐 Arrays-Int8Array 0.768% +0.171% -13.071%
😐 Arrays-Uint16Array 2.049% +0.932% -12.921%
😐 Arrays-Uint32Array 2.107% -2.846% -13.056%
😐 Arrays-Uint8Array 0.483% -0.080% -14.495%

* Relative Standard Deviation (Standard Deviation/Average)

Our lab does a nightly source pull and build of the Node.JS project and measures performance changes against the previous stable version and the previous nightly measurement. This is provided as a service to the community so that quality issues with current hardware can be identified quickly.

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration.

[2 up, 63 flat] Results for Python (master branch) 2017-10-17

Results for project python/master, build date: 2017-10-17 03:03:10-07:00.

  • commit: 2bd37c2
  • previous commit: 0df1905
  • revision date: 2017-10-17 02:10:44-04:00
  • environment: Broadwell-EP
    • cpu: Intel(R) Xeon(R) CPU E5-2699 v4 @ 2.20GHz 2×22 cores, stepping 1, LLC 55 MB
    • mem: 128 GB
    • os: Ubuntu 16.04.2 LTS
    • kernel: 4.4.0-62-generic x86_64 GNU/Linux

Baseline results were generated using release v3.6.0, with hash 5c4568a from 2016-12-22 23:38:47+00:00.

benchmark relative std_dev* change since last run change since baseline current rev run with PGO
😐 2to3 1.000% -1.156% +4.829% +8.141%
😐 call_method 0.621% +1.433% +20.283% +13.062%
😐 call_method_slots 1.217% +0.818% +20.853% +12.240%
🙂 call_method_unknown 0.610% +3.085% +20.818% +10.887%
😐 call_simple 1.952% -2.231% +4.336% +13.861%
😐 chameleon 1.522% -1.404% +10.240% +9.603%
😐 chaos 0.587% -0.535% +6.960% +11.184%
😐 crypto_pyaes 0.462% +0.436% +4.390% +4.549%
😐 deltablue 3.891% -1.089% +3.833% +21.749%
😐 django_template 7.594% -4.775% +6.119% +16.641%
😐 dulwich_log 1.354% -0.384% +4.576% +5.682%
😐 fannkuch 0.608% +0.561% +7.205% +2.575%
😐 float 0.782% +1.260% +3.632% +5.046%
😐 genshi_text 1.233% -1.790% +8.374% +12.842%
😐 genshi_xml 1.910% -0.156% +7.349% +10.139%
😐 go 0.897% +0.113% +6.042% +11.092%
😐 hexiom 0.956% -0.075% +8.835% +10.224%
😐 html5lib 2.865% -0.117% +8.925% +9.444%
😐 json_dumps 1.617% -0.008% +4.099% +8.812%
😐 json_loads 0.775% -3.136% -1.908% +14.708%
😐 logging_format 1.621% +0.104% +9.567% +10.940%
😐 logging_silent 2.533% -0.492% +46.030% +11.435%
😐 logging_simple 2.008% +0.429% +10.100% +13.089%
😐 mako 0.554% -0.867% +17.548% +13.233%
😐 mdp 1.065% +0.728% +9.206% +7.869%
😐 meteor_contest 1.831% -1.018% +2.306% +5.702%
😐 nbody 0.579% -0.897% -2.127% +3.323%
😐 nqueens 0.572% -0.652% +1.918% +6.733%
😐 pathlib 1.567% -1.607% +4.997% +9.821%
😐 pickle 1.252% -0.293% -0.244% +21.062%
😐 pickle_dict 0.592% -0.055% +3.125% +18.144%
😐 pickle_list 1.238% -1.076% +4.647% +15.499%
😐 pickle_pure_python 6.059% -0.290% +11.387% +10.782%
😐 pidigits 0.318% -0.156% +0.218% +10.508%
😐 python_startup 0.131% -0.140% +11.009% +4.769%
😐 python_startup_no_site 0.093% -0.206% +2.329% +5.002%
😐 raytrace 1.610% -0.414% +9.873% +13.093%
😐 regex_compile 5.702% -1.132% +3.715% +11.940%
🙂 regex_dna 1.384% +3.873% +2.205% +8.506%
😐 regex_effbot 1.831% +0.748% -1.621% +3.310%
😐 regex_v8 3.763% -1.497% +8.896% +2.960%
😐 richards 1.729% +1.401% +8.147% +14.515%
😐 scimark_fft 0.436% -1.112% +3.287% -0.315%
😐 scimark_lu 1.829% -0.878% +26.984% +7.990%
😐 scimark_monte_carlo 2.140% +1.357% +4.287% +6.319%
😐 scimark_sor 0.670% +0.759% +14.768% +8.686%
😐 scimark_sparse_mat_mult 0.638% -2.358% +0.553% -2.518%
😐 spectral_norm 2.003% -1.273% +6.165% +0.504%
😐 sqlalchemy_declarative 0.902% -1.127% +6.753% +7.804%
😐 sqlalchemy_imperative 2.862% +0.543% +6.511% +4.976%
😐 sqlite_synth 4.719% +0.622% +19.107% +7.137%
😐 sympy_expand 2.952% -2.107% +9.797% +10.869%
😐 sympy_integrate 2.037% -0.880% +9.807% +7.453%
😐 sympy_str 4.897% -2.349% +8.992% +12.141%
😐 sympy_sum 4.954% -0.723% +11.784% +11.080%
😐 telco 4.746% -1.878% +22.173% +10.641%
😐 tornado_http 1.154% -0.461% +5.985% +6.451%
😐 unpack_sequence 0.676% +0.807% +2.550% -0.322%
😐 unpickle 4.236% +2.274% +9.495% +18.701%
😐 unpickle_list 0.858% +1.163% +0.969% +17.394%
😐 unpickle_pure_python 1.038% +0.517% +8.461% +5.313%
😐 xml_etree_generate 1.199% -0.465% +5.663% +6.909%
😐 xml_etree_iterparse 2.865% +0.235% +1.560% +7.667%
😐 xml_etree_parse 4.108% +0.626% -8.971% +13.376%
😐 xml_etree_process 2.262% -0.449% +5.495% +8.563%

* Relative Standard Deviation (Standard Deviation/Average)

Our lab does a nightly source pull and build of the Python project and measures performance changes against the previous stable version and the previous nightly measurement. This is provided as a service to the community so that quality issues with current hardware can be identified quickly.

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration.

[13 flat] Results for Node (master branch) 2017-10-16

Results for project node/master, build date: 2017-10-16 01:19:42-07:00.

  • commit: c81fd7c5ea94685d6aaf175f24a547b3e95b5089
  • previous commit: c29e3661095dfc7ff00f0efbecdca73a11a4184f
  • revision date: N/A
  • environment: Broadwell-EP
    • cpu: Intel(R) Xeon(R) CPU E5-2699 v4 @ 2.20GHz 2×22 cores, stepping 1, LLC 55 MB
    • mem: 128 GB
    • os: Ubuntu 16.04.2 LTS
    • kernel: 4.4.0-62-generic x86_64 GNU/Linux

Baseline results were generated using release v6.11.3-1-g7cde322, with hash 7cde322c7fdc08630e528eab1caa3f4bd41ce2c2 from 2017-09-05 19:43:48+00:00.

benchmark relative std_dev* change since last run change since baseline
😐 LETS-CHAT-v0.4.8 0.428% +0.925% +2.533%
😐 Node-DC-SSR-v0.8 2.158% +0.952% +41.252%
😐 NODE-DC-EIS-v1.1.1 2.611% +1.308% +37.139%
😐 Arrays-Array 1.258% -0.312% -30.477%
😐 Arrays-Buffer 0.669% -0.228% -15.494%
😐 Arrays-Float32Array 0.464% +0.005% -9.777%
😐 Arrays-Float64Array 0.883% +0.055% -21.068%
😐 Arrays-Int16Array 0.251% -0.020% -15.532%
😐 Arrays-Int32Array 0.866% +0.235% -14.482%
😐 Arrays-Int8Array 0.215% -0.634% -13.220%
😐 Arrays-Uint16Array 0.581% +0.246% -13.725%
😐 Arrays-Uint32Array 11.216% +2.581% -10.509%
😐 Arrays-Uint8Array 0.553% -0.402% -14.426%

* Relative Standard Deviation (Standard Deviation/Average)

Our lab does a nightly source pull and build of the Node.JS project and measures performance changes against the previous stable version and the previous nightly measurement. This is provided as a service to the community so that quality issues with current hardware can be identified quickly.

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration.

[1 down, 64 flat] Results for Python (master branch) 2017-10-16

Results for project python/master, build date: 2017-10-16 03:03:09-07:00.

  • commit: 0df1905
  • previous commit: b22273e
  • revision date: 2017-10-16 11:24:22+03:00
  • environment: Broadwell-EP
    • cpu: Intel(R) Xeon(R) CPU E5-2699 v4 @ 2.20GHz 2×22 cores, stepping 1, LLC 55 MB
    • mem: 128 GB
    • os: Ubuntu 16.04.2 LTS
    • kernel: 4.4.0-62-generic x86_64 GNU/Linux

Baseline results were generated using release v3.6.0, with hash 5c4568a from 2016-12-22 23:38:47+00:00.

benchmark relative std_dev* change since last run change since baseline current rev run with PGO
😐 2to3 1.258% +0.384% +5.916% +7.415%
😐 call_method 0.352% +0.533% +19.124% +10.883%
😐 call_method_slots 0.655% +0.165% +20.200% +8.540%
😐 call_method_unknown 0.519% +0.346% +18.298% +12.296%
😐 call_simple 2.963% -0.600% +6.425% +6.022%
😐 chameleon 1.627% +1.038% +11.483% +9.080%
😐 chaos 0.623% +0.424% +7.455% +10.433%
😐 crypto_pyaes 0.701% +0.368% +3.972% +6.455%
😐 deltablue 2.811% -5.022% +4.869% +21.731%
😐 django_template 3.206% -1.941% +10.398% +13.480%
😐 dulwich_log 1.429% -0.155% +4.941% +5.665%
😐 fannkuch 0.587% +0.534% +6.682% +4.946%
😐 float 0.436% -0.189% +2.402% +7.850%
😐 genshi_text 0.798% +1.394% +9.985% +9.357%
😐 genshi_xml 1.785% -0.375% +7.493% +9.330%
😐 go 1.181% +0.842% +5.935% +11.879%
😐 hexiom 0.465% -0.467% +8.903% +11.694%
😐 html5lib 2.895% -0.287% +9.031% +8.622%
😐 json_dumps 1.824% -0.551% +4.106% +8.374%
😐 json_loads 4.334% -1.635% +1.190% +11.197%
😐 logging_format 1.557% +0.240% +9.472% +9.580%
😐 logging_silent 2.446% -0.903% +46.295% +13.389%
😐 logging_simple 1.532% -0.368% +9.713% +10.868%
😐 mako 0.380% -1.242% +18.257% +11.392%
😐 mdp 2.130% -0.759% +8.539% +9.629%
😐 meteor_contest 1.238% -0.208% +3.290% +5.402%
😐 nbody 0.369% -0.606% -1.219% +4.092%
😐 nqueens 0.584% +1.561% +2.553% +7.185%
😐 pathlib 1.039% -0.572% +6.500% +8.298%
😐 pickle 1.406% -2.526% +0.048% +20.273%
😐 pickle_dict 0.251% +1.388% +3.178% +20.497%
😐 pickle_list 1.009% +0.815% +5.662% +15.902%
😐 pickle_pure_python 3.097% +0.450% +11.643% +10.362%
😐 pidigits 0.156% -0.099% +0.373% +10.156%
😐 python_startup 0.122% -0.298% +11.133% +5.095%
😐 python_startup_no_site 0.086% -0.299% +2.530% +5.048%
😐 raytrace 1.222% +1.271% +10.244% +11.734%
😐 regex_compile 5.986% +3.168% +4.792% +10.377%
🙁 regex_dna 0.849% -3.412% -1.736% +10.090%
😐 regex_effbot 3.194% -2.469% -2.386% +5.775%
😐 regex_v8 2.150% +1.588% +10.240% +1.525%
😐 richards 1.275% +0.586% +6.842% +14.419%
😐 scimark_fft 0.506% +1.218% +4.350% -0.444%
😐 scimark_lu 1.318% +0.794% +27.620% +6.840%
😐 scimark_monte_carlo 2.059% -0.793% +2.971% +7.525%
😐 scimark_sor 1.787% +0.223% +14.116% +8.836%
😐 scimark_sparse_mat_mult 1.502% -0.838% +2.844% -1.290%
😐 spectral_norm 1.263% +1.313% +7.344% +1.062%
😐 sqlalchemy_declarative 1.539% -0.039% +7.792% +7.764%
😐 sqlalchemy_imperative 3.286% -0.439% +6.000% +5.705%
😐 sqlite_synth 4.129% -0.633% +18.601% +9.191%
😐 sympy_expand 2.854% -1.654% +11.658% +9.262%
😐 sympy_integrate 1.704% +0.422% +10.594% +6.601%
😐 sympy_str 4.116% -0.704% +11.081% +10.056%
😐 sympy_sum 5.514% +0.085% +12.417% +11.356%
😐 telco 4.889% +1.170% +23.607% +9.440%
😐 tornado_http 1.049% +0.236% +6.416% +6.069%
😐 unpack_sequence 1.952% -0.009% +1.758% -1.190%
😐 unpickle 10.556% -5.104% +7.389% +21.671%
😐 unpickle_list 2.315% -1.188% -0.196% +17.956%
😐 unpickle_pure_python 1.762% +0.018% +7.985% +6.284%
😐 xml_etree_generate 0.977% -0.245% +6.099% +7.567%
😐 xml_etree_iterparse 2.761% -0.450% +1.328% +7.386%
😐 xml_etree_parse 4.174% -3.406% -9.658% +13.044%
😐 xml_etree_process 2.183% +0.004% +5.918% +7.783%

* Relative Standard Deviation (Standard Deviation/Average)

Our lab does a nightly source pull and build of the Python project and measures performance changes against the previous stable version and the previous nightly measurement. This is provided as a service to the community so that quality issues with current hardware can be identified quickly.

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration.