Campaign Report: harness:full_quick:pypy3-system:small

Workload Results

WorkloadCold mean (ms)Warm mean (ms)Warm median (ms)Success rateMismatches
core.integer_sum0.50855102017521860.0118848402053117750.011884840205311775100%0
core.float_reduction1.52516202069818970.0132950566088159880.013295056608815988100%0
core.list_filter0.077456003054976460.61100659271081280.6110065927108128100%0
numerical.dot_product0.42286305688321590.65819391359885530.6581939135988553100%0
numerical.matrix_multiply4.4441029895097020.47848082613199950.4784808261319995100%0
numerical.monte_carlo_pi2.0439869258552790.0519581371918320660.051958137191832066100%0
numerical.prime_sieve1.0939079802483320.26364678827424840.2636467882742484100%0
data_processing.csv_parse1.51184294372797010.67088264040648940.6708826404064894100%0
iot.rolling_average2.6571918278932570.8955610295136770.895561029513677100%0
stdlib.json_parse8.5130601655691861.72864866908639671.7286486690863967100%0
stdlib.dict_lookup0.181679846718907360.62653313701351480.6265331370135148100%0