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Hi all,We were talking about formulas and what would most accurately define the title "performance per liter". I've come up with a solution to this using the geometric mean (instead of the proposed arithmetic mean) of the performance numbers. Sqrt(cpu_r23*gpu_timespy)/VolumeThe benefit of this is threefold: 1) there is no need for arbitrary multipliers to combine the scores 2) This ACTUALLY gives performance^1 and volume^1 as the label "PPL" claims. 3) the scores will now progress more linearly meaning numbers won't grow ridiculously large in short time, giving the formula longevity without a need to scale it.I've run this new formula through all the available data for this round, here is how it looks:Old #Old ScoreNew PPL #New PPLLinkCine R23Timespy GraphicsVolume (with brick), LCPUGPU#12,730,735123,346chinevo12,7752,6880.251AMD 7840UAMD 780M#21,915,262210,806guryhwa65,00013,0002.69AMD EPYC 7742RTX 3070#31,029,62246,786petricor34,56533,3045AMD 7950X3DRTX 4090#4770,21437,998articnova20,1266,6821.45Intel 13900RTX A2000#5504,01664,748petricor27,55420,4515AMD 5950xRTX 3090#6419,89474,479AURMEND25,36714,9664.35AMD 3950xRTX 3070#7374,24484,362REVOCCASES16,14017,6533.87AMD 7940HSRTX 4070#8272,39654,756REVOCCASES7,3596,4631.45Intel 11700TRTX A2000#9141,943132,390hereforthefeast16,58613,1166.17AMD 3900XRTX 3070#10136,52493,302msystems15,0101,7911.57AMD 5700GAMD Vega8#11127,017103,161dannycpham18,59013,3864.99AMD 5950XRTX 3070#12114,540112,782Goatee6,0686,0632.18Intel 9600KRTX A2000#13102,725152,108SFFMunkee11,30711,2115.34AMD 5600GRTX 4060#1498,795122,682confusis12,8702,3722.06AMD 8600GAMD 760M#1573,738142,213msystems14,7321,7132.27AMD 5700GAMD Vega8#1670,696161,885Diamorif6,3598,7613.96AMD 3900RTX 2070#1755,551181,560Damascus5,0535,2463.3Intel 6700GTX 1070#1852,695171,604CubanLegend6,0987,4384.2Intel 7700KGTX 1080#1923,75419903timginter6,7978,6798.51AMD 3500XRTX 2070#2014,33920776aromachi2,9856,4865.67AMD 1600GTX 1660 Ti
Hi all,
We were talking about formulas and what would most accurately define the title "performance per liter". I've come up with a solution to this using the geometric mean (instead of the proposed arithmetic mean) of the performance numbers. Sqrt(cpu_r23*gpu_timespy)/Volume
The benefit of this is threefold: 1) there is no need for arbitrary multipliers to combine the scores 2) This ACTUALLY gives performance^1 and volume^1 as the label "PPL" claims. 3) the scores will now progress more linearly meaning numbers won't grow ridiculously large in short time, giving the formula longevity without a need to scale it.
I've run this new formula through all the available data for this round, here is how it looks:
20
