blob: 059ed65a4294368ebab3f851f68ab2686c4e51fc [file] [log] [blame]
summary = 2000000 in 00:00:31 = 64701.9/s Avg: 2 Min: 0 Max: 2418 Err: 0 (0.00%)
summary = 2000000 in 00:00:31 = 63769.4/s Avg: 2 Min: 0 Max: 2567 Err: 0 (0.00%)
summary = 2000000 in 00:00:31 = 64080.0/s Avg: 2 Min: 0 Max: 2758 Err: 0 (0.00%)
summary = 2000000 in 00:00:32 = 62521.5/s Avg: 2 Min: 0 Max: 3372 Err: 0 (0.00%)
summary = 2000000 in 00:00:31 = 63769.4/s Avg: 2 Min: 0 Max: 2604 Err: 0 (0.00%)
summary = 2000000 in 00:00:32 = 61766.5/s Avg: 3 Min: 0 Max: 3664 Err: 0 (0.00%)
summary = 2000000 in 00:00:31 = 65246.5/s Avg: 1 Min: 0 Max: 2889 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38671.3/s Avg: 0 Min: 0 Max: 1413 Err: 0 (0.00%)
summary = 2000000 in 00:00:53 = 37556.6/s Avg: 0 Min: 0 Max: 1319 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38249.0/s Avg: 0 Min: 0 Max: 1387 Err: 0 (0.00%)
summary = 2000000 in 00:00:51 = 39478.9/s Avg: 0 Min: 0 Max: 1353 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38598.9/s Avg: 0 Min: 0 Max: 1315 Err: 0 (0.00%)
summary = 2000000 in 00:00:51 = 39038.9/s Avg: 0 Min: 0 Max: 1377 Err: 0 (0.00%)
summary = 2000000 in 00:00:50 = 39921.0/s Avg: 0 Min: 0 Max: 1372 Err: 0 (0.00%)
summary = 2000000 in 00:00:53 = 37472.1/s Avg: 0 Min: 0 Max: 1372 Err: 0 (0.00%)
summary = 2000000 in 00:00:51 = 39250.3/s Avg: 0 Min: 0 Max: 1351 Err: 0 (0.00%)
summary = 2000000 in 00:00:51 = 39109.9/s Avg: 0 Min: 0 Max: 1351 Err: 0 (0.00%)
summary = 2000000 in 00:00:54 = 36871.1/s Avg: 0 Min: 0 Max: 1392 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38592.9/s Avg: 0 Min: 0 Max: 1280 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38561.7/s Avg: 0 Min: 0 Max: 1317 Err: 0 (0.00%)
summary = 2000000 in 00:00:51 = 38986.4/s Avg: 0 Min: 0 Max: 1336 Err: 0 (0.00%)
summary = 2000000 in 00:00:51 = 38910.5/s Avg: 0 Min: 0 Max: 1332 Err: 0 (0.00%)
summary = 2000000 in 00:00:51 = 39054.1/s Avg: 0 Min: 0 Max: 1446 Err: 0 (0.00%)
summary = 2000000 in 00:00:51 = 39374.7/s Avg: 0 Min: 0 Max: 1426 Err: 0 (0.00%)
summary = 2000000 in 00:00:51 = 39317.4/s Avg: 0 Min: 0 Max: 1366 Err: 0 (0.00%)
summary = 2000000 in 00:00:51 = 39234.9/s Avg: 0 Min: 0 Max: 1319 Err: 0 (0.00%)
summary = 2000000 in 00:00:53 = 37684.7/s Avg: 0 Min: 0 Max: 1495 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38415.0/s Avg: 0 Min: 0 Max: 1393 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)
summary = 2000000 in 00:00:52 = 38387.7/s Avg: 0 Min: 0 Max: 1389 Err: 0 (0.00%)