harness:full_quick:pypy3-system:small

finished · pypy3-system

Campaign Summary

ID: e33f379a85fc4798963c9461

Started: 2026-07-18 21:38:27.095374
Finished: 2026-07-18 21:38:31.429736
Duration: 4.3s

11
Workloads
33
Cases
33
Passed
0
Failed
0
Mismatches

Campaign Chart

Campaign summary chart

Workload Results

core.integer_sum

0.5086
cold mean ms
0.0119
warm mean ms
0.0119
warm median ms
0.0029
warm stdev ms
100%
success rate
0
mismatches
Comparison chart for core.integer_sum

core.float_reduction

1.5252
cold mean ms
0.0133
warm mean ms
0.0133
warm median ms
0.0001
warm stdev ms
100%
success rate
0
mismatches
Comparison chart for core.float_reduction

core.list_filter

0.0775
cold mean ms
0.6110
warm mean ms
0.6110
warm median ms
0.1345
warm stdev ms
100%
success rate
0
mismatches
Comparison chart for core.list_filter

numerical.dot_product

0.4229
cold mean ms
0.6582
warm mean ms
0.6582
warm median ms
0.0118
warm stdev ms
100%
success rate
0
mismatches
Comparison chart for numerical.dot_product

numerical.matrix_multiply

4.4441
cold mean ms
0.4785
warm mean ms
0.4785
warm median ms
0.0000
warm stdev ms
100%
success rate
0
mismatches
Comparison chart for numerical.matrix_multiply

numerical.monte_carlo_pi

2.0440
cold mean ms
0.0520
warm mean ms
0.0520
warm median ms
0.0067
warm stdev ms
100%
success rate
0
mismatches
Comparison chart for numerical.monte_carlo_pi

numerical.prime_sieve

1.0939
cold mean ms
0.2636
warm mean ms
0.2636
warm median ms
0.0210
warm stdev ms
100%
success rate
0
mismatches
Comparison chart for numerical.prime_sieve

data_processing.csv_parse

1.5118
cold mean ms
0.6709
warm mean ms
0.6709
warm median ms
0.0470
warm stdev ms
100%
success rate
0
mismatches
Comparison chart for data_processing.csv_parse

iot.rolling_average

2.6572
cold mean ms
0.8956
warm mean ms
0.8956
warm median ms
0.1523
warm stdev ms
100%
success rate
0
mismatches
Comparison chart for iot.rolling_average

stdlib.json_parse

8.5131
cold mean ms
1.7286
warm mean ms
1.7286
warm median ms
0.0117
warm stdev ms
100%
success rate
0
mismatches
Comparison chart for stdlib.json_parse

stdlib.dict_lookup

0.1817
cold mean ms
0.6265
warm mean ms
0.6265
warm median ms
0.0892
warm stdev ms
100%
success rate
0
mismatches
Comparison chart for stdlib.dict_lookup

Case Runs

Workload Phase Status Correctness Mean ms Duration
core.float_reduction cold success match 1.5252 0.00s
core.float_reduction warm success match 0.0134 0.00s
core.float_reduction warm success match 0.0132 0.00s
core.integer_sum cold success match 0.5086 0.00s
core.integer_sum warm success match 0.0098 0.00s
core.integer_sum warm success match 0.0140 0.00s
core.list_filter cold success match 0.0775 0.00s
core.list_filter warm success match 0.7061 0.00s
core.list_filter warm success match 0.5159 0.00s
data_processing.csv_parse cold success match 1.5118 0.00s
data_processing.csv_parse warm success match 0.6376 0.00s
data_processing.csv_parse warm success match 0.7041 0.00s
iot.rolling_average cold success match 2.6572 0.00s
iot.rolling_average warm success match 0.7879 0.00s
iot.rolling_average warm success match 1.0032 0.00s
numerical.dot_product cold success match 0.4229 0.00s
numerical.dot_product warm success match 0.6498 0.00s
numerical.dot_product warm success match 0.6665 0.00s
numerical.matrix_multiply cold success match 4.4441 0.00s
numerical.matrix_multiply warm success match 0.4785 0.00s
numerical.matrix_multiply warm success match 0.4785 0.00s
numerical.monte_carlo_pi cold success match 2.0440 0.00s
numerical.monte_carlo_pi warm success match 0.0567 0.00s
numerical.monte_carlo_pi warm success match 0.0472 0.00s
numerical.prime_sieve cold success match 1.0939 0.00s
numerical.prime_sieve warm success match 0.2785 0.00s
numerical.prime_sieve warm success match 0.2488 0.00s
stdlib.dict_lookup cold success match 0.1817 0.00s
stdlib.dict_lookup warm success match 0.5635 0.00s
stdlib.dict_lookup warm success match 0.6896 0.00s
stdlib.json_parse cold success match 8.5131 0.00s
stdlib.json_parse warm success match 1.7204 0.00s
stdlib.json_parse warm success match 1.7369 0.00s

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