Apple M2 testing with a Apple MacBook Air (13 h M2 2022) and llvmpipe on Arch rolling via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2306239-NE-NEWSTUFF688
new stuff,
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128",
Higher Results Are Better
"a",12.8864,12.9116,12.8608
"b",
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256",
Higher Results Are Better
"a",12.0036,12.0573,11.9836
"b",
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128",
Higher Results Are Better
"a",30.1848,30.6284,30.3442
"b",
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256",
Higher Results Are Better
"a",24.5153,24.3847,24.3524
"b",
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128",
Higher Results Are Better
"a",7.41965,7.41117,7.40882
"b",
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256",
Higher Results Are Better
"a",7.73335,7.71076,7.70395
"b",
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: Stock - Precision: float - X Y Z: 128",
Higher Results Are Better
"a",6.81594,6.81512,6.82087
"b",
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: Stock - Precision: float - X Y Z: 256",
Higher Results Are Better
"a",9.26073,9.25665,9.24149
"b",
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128",
Higher Results Are Better
"a",15.3389,15.3155,15.4546
"b",
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256",
Higher Results Are Better
"a",15.2062,15.1659,15.2098
"b",
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: Stock - Precision: float - X Y Z: 128",
Higher Results Are Better
"a",12.5315,12.5806,12.5222
"b",
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: Stock - Precision: float - X Y Z: 256",
Higher Results Are Better
"a",16.5635,16.5652,16.5378
"b",
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: Stock - Precision: double - X Y Z: 128",
Higher Results Are Better
"a",4.84967,4.84557,4.84934
"b",
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: Stock - Precision: double - X Y Z: 256",
Higher Results Are Better
"a",6.51832,6.51695,6.50945
"b",
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: Stock - Precision: double - X Y Z: 128",
Higher Results Are Better
"a",9.36579,9.35784,9.36836
"b",
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: Stock - Precision: double - X Y Z: 256",
Higher Results Are Better
"a",12.3496,12.395,12.3233
"b",
"c",
"High Performance Conjugate Gradient 3.1 - X Y Z: 104 104 104 - RT: 60",
Higher Results Are Better
"a",5.91253,5.91278,5.91062
"b",
"c",
"Liquid-DSP 1.6 - Threads: 1 - Buffer Length: 256 - Filter Length: 32",
Higher Results Are Better
"a",45912000,45878000,45904000
"b",
"c",
"Liquid-DSP 1.6 - Threads: 1 - Buffer Length: 256 - Filter Length: 57",
Higher Results Are Better
"a",24015000,24007000,24006000
"b",
"c",
"Liquid-DSP 1.6 - Threads: 2 - Buffer Length: 256 - Filter Length: 32",
Higher Results Are Better
"a",89594000,89660000,89545000
"b",
"c",
"Liquid-DSP 1.6 - Threads: 2 - Buffer Length: 256 - Filter Length: 57",
Higher Results Are Better
"a",46850000,46801000,46861000
"b",
"c",
"Liquid-DSP 1.6 - Threads: 4 - Buffer Length: 256 - Filter Length: 32",
Higher Results Are Better
"a",171130000,161960000,157830000,154530000,153110000,151330000,149700000,149350000,148640000,148100000,147140000,147150000,146750000,146670000,146050000
"b",
"c",
"Liquid-DSP 1.6 - Threads: 4 - Buffer Length: 256 - Filter Length: 57",
Higher Results Are Better
"a",90436000,90447000,90445000
"b",
"c",
"Liquid-DSP 1.6 - Threads: 8 - Buffer Length: 256 - Filter Length: 32",
Higher Results Are Better
"a",209200000,198240000,196170000,194480000,193640000,192900000,192380000,191960000,191250000,191050000,191360000,190510000,190070000,190570000,189630000
"b",
"Liquid-DSP 1.6 - Threads: 8 - Buffer Length: 256 - Filter Length: 57",
Higher Results Are Better
"a",125230000,122840000,122400000
"b",
"Liquid-DSP 1.6 - Threads: 1 - Buffer Length: 256 - Filter Length: 512",
Higher Results Are Better
"a",1816500,1818200,1815300
"b",
"Liquid-DSP 1.6 - Threads: 2 - Buffer Length: 256 - Filter Length: 512",
Higher Results Are Better
"a",3541000,3539900,3538800
"b",
"Liquid-DSP 1.6 - Threads: 4 - Buffer Length: 256 - Filter Length: 512",
Higher Results Are Better
"a",6840100,6837800,6840500
"b",
"Liquid-DSP 1.6 - Threads: 8 - Buffer Length: 256 - Filter Length: 512",
Higher Results Are Better
"a",11524000,11523000,11523000
"b",
"Monte Carlo Simulations of Ionised Nebulae 2.02.73.3 - Input: Gas HII40",
Lower Results Are Better
"a",28.378,27.751,28.153
"b",
"c",
"Monte Carlo Simulations of Ionised Nebulae 2.02.73.3 - Input: Dust 2D tau100.0",
Lower Results Are Better
"a",219.133,225.632,228.183
"b",
"c",
"QMCPACK 3.16 - Input: Li2_STO_ae",
Lower Results Are Better
"a",603.92,650.8,668.75,676.97,685.08,688.7,693.58,696.87,697.46
"b",
"c",
"QMCPACK 3.16 - Input: simple-H2O",
Lower Results Are Better
"a",29.516,32.05,32.31,32.279,31.731,31.704,31.136,31.69,32.015,32.217,31.472,31.663
"b",
"c",
"QMCPACK 3.16 - Input: FeCO6_b3lyp_gms",
Lower Results Are Better
"a",722.53,722.6,722.71
"b",
"c",
"QMCPACK 3.16 - Input: FeCO6_b3lyp_gms",
Lower Results Are Better
"a",212.47,222.85,227.19,226.13,227.61,228.03,227.54
"b",
"c",
"Stress-NG 0.15.10 - Test: Hash",
Higher Results Are Better
"a",1029437.51,1031961.73,1032595.59
"a",1031778.26,1030242.34,1032380.57
"b",
"Stress-NG 0.15.10 - Test: MMAP",
Higher Results Are Better
"a",181.36,181.35,181.06
"a",181.05,180.46,180
"b",
"Stress-NG 0.15.10 - Test: NUMA",
Higher Results Are Better
"a",1696.31,1744.88,1863.38,1514.44,1879.23,1571.88,1864.21,1524.64,1807.07,1620.21,1541.31,1599.48
"a",1498.28,1657.75,1517.38,1646.78,1633.81,1736.94,1696.28,1558.35,1660.18,1442.67,1476.04,1385.15,1477.61,1722.7,1502.88
"b",
"Stress-NG 0.15.10 - Test: Pipe",
Higher Results Are Better
"a",3613107.51,3323286.32,3518341.86,3237267.8,3230227.81,3097779.81,3180890.73,3266907.87,3157140.46,3165552.96,3300209.5,3293263.08,3287786.07,3062670.16,3363940.89
"a",3281888.48,3464805.99,3340274.24,3511552.42,3487920.1,3284260.02,3182662.78,3477943.77,3184269.54,3294383.9,3476023.19,3423520.39,3364526.72,3197519.25,3308645.84
"b",
"Stress-NG 0.15.10 - Test: Poll",
Higher Results Are Better
"a",497246.29,496448.47,500685.29
"a",501338.77,499276.86,500385.11
"b",
"Stress-NG 0.15.10 - Test: Zlib",
Higher Results Are Better
"a",370.5,370.53,370.22
"a",363.39,370.1,370.09
"b",
"Stress-NG 0.15.10 - Test: Futex",
Higher Results Are Better
"a",924529.2,834664.49,810399.24,973876.27,853684.51,896907.53,845260.12,839864.08,774382.46,864049.82,820680.87,822500.5,853109.15,812142.95,887019.21
"a",807392.59,820251.38,862648.78,914982.94,863142.95,841239.52,842477.51,867350.88,825415.97,871817.93,859552.82,1085604.04
"b",
"Stress-NG 0.15.10 - Test: MEMFD",
Higher Results Are Better
"a",335.69,337.34,338.26
"a",336.03,336.82,337.21
"b",
"Stress-NG 0.15.10 - Test: Mutex",
Higher Results Are Better
"a",2351769.58,2327547.87,2364916.12
"a",2348582.87,2306803.03,2355589.68
"b",
"Stress-NG 0.15.10 - Test: Atomic",
Higher Results Are Better
"a",221.95,215.9,220.89
"a",217.57,220.21,216.83
"b",
"Stress-NG 0.15.10 - Test: Crypto",
Higher Results Are Better
"a",15660.27,15659.54,15662.22
"a",15710.25,15663.31,15710.17
"b",
"Stress-NG 0.15.10 - Test: Malloc",
Higher Results Are Better
"a",7472399.26,7311228.94,7211918.8
"a",7473319.28,7552173.66,7475015.64
"b",
"Stress-NG 0.15.10 - Test: Cloning",
Higher Results Are Better
"a",415.51,413.91,415.75
"a",413.07,414.85,411.38
"b",
"Stress-NG 0.15.10 - Test: Forking",
Higher Results Are Better
"a",21081.86,20981.87,20777.61
"a",21070.5,20976.73,20885.11
"b",
"Stress-NG 0.15.10 - Test: Pthread",
Higher Results Are Better
"a",99453.65,95774.02,94878.07,98015.46
"a",99254.06,98053.92,95712.38
"b",
"Stress-NG 0.15.10 - Test: AVL Tree",
Higher Results Are Better
"a",58.97,58.73,58.53
"a",58.77,58.67,58.93
"b",
"Stress-NG 0.15.10 - Test: IO_uring",
Higher Results Are Better
"a",203957.76,202623.49,202197.66
"a",203171.63,204954.06,202930.17
"b",
"Stress-NG 0.15.10 - Test: SENDFILE",
Higher Results Are Better
"a",624195.67,583481.58,564331.95,564511.9,563152.55,559177.03,554545.79,552547.25,553285.19,550952.59,550557.6,549700.42,549062.54,547417.36,548105.87
"a",653717.51,606730.95,588817.33,584254.32,573406.02,575627.78,571192.95,571453.22,569165.24,563928.57,565835.4,557603.61,561361.76,560166.02,560252.81
"b",
"Stress-NG 0.15.10 - Test: CPU Cache",
Higher Results Are Better
"a",1517704.69,1503608.98,1495183.37
"a",1511626.52,1468414.24,1516501.11
"b",
"Stress-NG 0.15.10 - Test: CPU Stress",
Higher Results Are Better
"a",2332.34,2318.4,2297.51
"a",2333.6,2331.06,2327.73
"b",
"Stress-NG 0.15.10 - Test: Semaphores",
Higher Results Are Better
"a",12099494.59,12274626.56,12416311.51
"a",12391558.2,12116681.82,12259384.31
"b",
"Stress-NG 0.15.10 - Test: Matrix Math",
Higher Results Are Better
"a",28787.4,28792.93,28786.06
"a",28785.67,28786.23,28786.06
"b",
"Stress-NG 0.15.10 - Test: Vector Math",
Higher Results Are Better
"a",34186.81,34172.55,34179.36
"a",34137.06,34171,34175.4
"b",
"Stress-NG 0.15.10 - Test: Function Call",
Higher Results Are Better
"a",15760.58,14999.44,14758.65,14619.44,14557.49,14480.93,14486.59,14450,14428.62,14403.14,14357.62,14354.51,14295.86,14363.96,14282.12
"a",16301.36,15394.15,15146.65,15043.42,14950.87,14902.43,14858.28,14814.43,14742.45,14754.94,14709.58,14654.25,14639.07,14637.78,14613.34
"b",
"Stress-NG 0.15.10 - Test: Floating Point",
Higher Results Are Better
"a",1897.72,1894.48,1893.3
"a",1903.8,1902.45,1902.98
"b",
"Stress-NG 0.15.10 - Test: Matrix 3D Math",
Higher Results Are Better
"a",1536.09,1473.99,1498.07
"a",1515.81,1668.13,1531.68,1522.21,1523.54,1538.26,1528.72,1532.35,1522.53,1530.51,1537.32,1515.36,1528.23
"b",
"Stress-NG 0.15.10 - Test: Memory Copying",
Higher Results Are Better
"a",2357.57,2235.98,2208.31,2192.09,2192.94,2176.19,2162.85,2162.35,2163.39,2166.9,2153.81,2164.16,2153.9,2154.4,2150.33
"a",2443.25,2302.56,2271.1,2247.82,2247.77,2224.36,2221.54,2208.73,2210.23,2211.65,2203.14,2200.71,2199.66,2200.45,2196.56
"b",
"Stress-NG 0.15.10 - Test: Vector Shuffle",
Higher Results Are Better
"a",5505.41,5382.9,5384.36
"a",5567.22,5489.08,5454.94
"b",
"Stress-NG 0.15.10 - Test: Socket Activity",
Higher Results Are Better
"a",4632.99,4542.19,4492.56
"a",4648.5,4345.28,4356.58,4466.33,4273.93,4615.18,4375.43,4399.81,4492.75,4347.23,4333.89,4261.46,4539.87,4476.59,4308.2
"b",
"Stress-NG 0.15.10 - Test: Wide Vector Math",
Higher Results Are Better
"a",137369.98,132830.4,132155
"a",136919.58,131867.31,132630.53
"b",
"Stress-NG 0.15.10 - Test: Context Switching",
Higher Results Are Better
"a",1707772.04,1631754.68,1623228.21,1616210.53,1598909.93,1613167.92
"a",1715957.89,1639812.2,1625418.79,1624990.09,1614243.51,1626239.63
"b",
"Stress-NG 0.15.10 - Test: Fused Multiply-Add",
Higher Results Are Better
"a",8472888.46,8166261.91,8071946.51,8105543.7
"a",8518828.59,8204980.27,8154805.43
"b",
"Stress-NG 0.15.10 - Test: Vector Floating Point",
Higher Results Are Better
"a",10943.35,10544.25,10487.91
"a",11062.85,10557.01,10542.55,10547.38
"b",
"Stress-NG 0.15.10 - Test: Glibc C String Functions",
Higher Results Are Better
"a",2244947.31,2166162.63,2149168.63
"a",2259489.74,2177827.19,2129306.06,2146796.92,2147809.76
"b",
"Stress-NG 0.15.10 - Test: Glibc Qsort Data Sorting",
Higher Results Are Better
"a",129.8,123.53,123.1,122.57,121.3,121.37,121
"a",131.8,124.7,123.57,123.03,122.66,121.93,122.2,122.13,121.67,122.17
"b",
"Stress-NG 0.15.10 - Test: System V Message Passing",
Higher Results Are Better
"a",8016807.48,7979856.86,8013523.36
"a",7964933.51,8002532.93,8017193.59
"b",