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

Workload Results

WorkloadCold mean (ms)Warm mean (ms)Warm median (ms)Success rateMismatches
core.integer_sum0.35826300000002530.429052666666660860.42905266666666086100%0
core.float_reduction1.94693300000003951.61476016666666421.6147601666666642100%0
core.list_filter0.146151000000038780.107128833333321650.10712883333332165100%0
numerical.dot_product0.387624999999947040.35179783333333380.3517978333333338100%0
numerical.matrix_multiply32.81691999999997523.27175366666667223.271753666666672100%0
numerical.monte_carlo_pi1.48847099999999121.4039530000000041.403953000000004100%0
numerical.prime_sieve1.56427500000000391.21043583333332851.2104358333333285100%0
data_processing.csv_parse1.37557599999998951.32976866666667531.3297686666666753100%0
iot.rolling_average0.70948799999998040.54934850000000950.5493485000000095100%0
stdlib.json_parse13.12007800000003519.19215249999998519.192152499999985100%0
stdlib.dict_lookup0.178856999999976730.1846660.184666100%0