The machine is Google Compute Engine n1-highcpu-32 (Intel Ivy Bridge)

Linux bench 3.16.0-4-amd64 #1 SMP Debian 3.16.7-ckt20-1+deb8u3 (2016-01-17) x86_64 GNU/Linux

cpuinfo:
processor       : 31
vendor_id       : GenuineIntel
cpu family      : 6
model           : 62
model name      : Intel(R) Xeon(R) CPU @ 2.50GHz
stepping        : 4
microcode       : 0x1
cpu MHz         : 2500.000
cache size      : 30720 KB


command:
$ python perf.py -r -b default ../Python-3.5.1/python-default ../Python-3.5.1/python-lto

output:
Report on Linux bench 3.16.0-4-amd64 #1 SMP Debian 3.16.7-ckt20-1+deb8u3 (2016-01-17) x86_64 
Total CPU cores: 32

### 2to3 ###
Min: 8.692000 -> 8.160000: 1.07x faster
Avg: 8.816800 -> 8.253600: 1.07x faster
Significant (t=8.07)
Stddev: 0.12726 -> 0.09027: 1.4098x smaller

### chameleon_v2 ###
Min: 6.756928 -> 6.414046: 1.05x faster
Avg: 6.849192 -> 6.666536: 1.03x faster
Significant (t=20.88)
Stddev: 0.04413 -> 0.07555: 1.7120x larger

### fastpickle ###
Min: 0.540906 -> 0.564253: 1.04x slower
Avg: 0.549624 -> 0.579263: 1.05x slower
Significant (t=-34.29)
Stddev: 0.00427 -> 0.00752: 1.7622x larger

### nbody ###
Min: 0.260169 -> 0.273837: 1.05x slower
Avg: 0.267334 -> 0.280441: 1.05x slower
Significant (t=-34.05)
Stddev: 0.00257 -> 0.00286: 1.1125x larger

### regex_v8 ###
Min: 0.047335 -> 0.044750: 1.06x faster
Avg: 0.049424 -> 0.046788: 1.06x faster
Significant (t=10.46)
Stddev: 0.00174 -> 0.00182: 1.0469x larger

The following not significant results are hidden, use -v to show them:
django_v3, fastunpickle, json_dump_v2, json_load, tornado_http.