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

Workload Results

WorkloadCold mean (ms)Warm mean (ms)Warm median (ms)Success rateMismatches
core.integer_sum0.318628968670964240.192491477355360980.19039601708451906100%0
core.float_reduction0.30611106194555760.340012647211551670.3103576600551605100%0
core.list_filter0.035529024899005890.032297428697347640.029660994186997414100%0
numerical.dot_product0.074401963502168660.046267018963893260.04616705700755119100%0
numerical.matrix_multiply5.3899670019745834.8777189260969564.849148603777091100%0
numerical.monte_carlo_pi0.80311694182455540.86336705523232620.8029832970350981100%0
numerical.prime_sieve0.256724189966917040.25726250993708770.24724060979982218100%0
data_processing.csv_parse0.44333003461360930.22270417151351770.21783006377518177100%0
iot.rolling_average0.1926149707287550.20013420532147090.167767982929945100%0
stdlib.json_parse0.55849994532763960.370759454866250340.37079094909131527100%0
stdlib.dict_lookup0.118833966553211210.0566835049539804460.05545963843663534100%0