Microsoft Azure HBv4 HPC Performance Benchmarks

Benchmarks for a future article on Phoronix looking at HBv4 Genoa-X Linux performance..

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2308011-PTS-AZUREHBV71
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C/C++ Compiler Tests 2 Tests
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Fortran Tests 4 Tests
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HPC - High Performance Computing 6 Tests
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Multi-Core 12 Tests
Intel oneAPI 3 Tests
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Identifier
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Date
Run
  Test
  Duration
HC
July 27 2023
  5 Hours, 11 Minutes
HBv2
July 27 2023
  7 Hours, 22 Minutes
HBv3
July 27 2023
  6 Hours, 40 Minutes
HBv4
July 26 2023
  6 Hours, 44 Minutes
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  6 Hours, 29 Minutes

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Microsoft Azure HBv4 HPC Performance Benchmarks, "High Performance Conjugate Gradient 3.1 - X Y Z: 104 104 104 - RT: 60", Higher Results Are Better "HC",25.9549,26.0116,26.0249 "HBv2",37.0702,37.0758,36.9769 "HBv3",39.5877,39.5642,39.6761 "HBv4",89.6059,88.8665,89.6795 "High Performance Conjugate Gradient 3.1 - X Y Z: 144 144 144 - RT: 60", Higher Results Are Better "HC",25.8813,25.9426,25.7738 "HBv2",36.0607,36.1266,36.0726 "HBv3",38.9805,38.9406,39.0006 "HBv4",88.7276,88.3819,88.4384 "High Performance Conjugate Gradient 3.1 - X Y Z: 160 160 160 - RT: 60", Higher Results Are Better "HC",25.4372,25.649,25.6043 "HBv2",36.0084,36.0268,36.0149 "HBv3",39.1087,39.1514,39.0716 "HBv4",87.6646,87.9888,88.0506 "HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256", Higher Results Are Better "HC",58.3133,58.486,58.2707 "HBv2",89.98,91.2218,94.7492,95.4678,88.962,87.5361,90.1359,89.8117,92.911,93.9002,95.3963,91.8061,88.1201,92.9761,90.1009 "HBv3",107.592,103.936,97.8269,103.697,108.338,109.036,108.52,102.159,101.431,101.691,103.015,88.3893,107.237,100.715,109.138 "HBv4",257.846,254.281,256.92 "HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512", Higher Results Are Better "HC",63.0056,62.8995,63.02 "HBv2",95.5217,95.3148,96.8038 "HBv3",134.064,137.3,135.719 "HBv4",353.479,356.428,357.658 "HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512", Higher Results Are Better "HC",113.984,114.189,113.901 "HBv2",192.003,193.439,189.884 "HBv3",254.756,257.832,241.854,256.289,256.84,257.943 "HBv4",625.545,618.161,624.035 "HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512", Higher Results Are Better "HC",33.4811,33.5672,33.5095 "HBv2",47.6625,47.7253,47.4273 "HBv3",57.2426,57.2891,57.4605 "HBv4",159.851,158.921,158.754 "HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: Stock - Precision: float - X Y Z: 256", Higher Results Are Better "HC",59.7285,59.6984,59.7606 "HBv2",85.0464,91.3685,92.6979,90.3338,90.4128,89.2429,93.6991,89.3403,93.8763,92.843,93.0841,89.3629,92.5301,91.596,93.4669 "HBv3",100.843,101.784,108.853,106.923,101.211,104.11,109.563,105.039,103.282,100.399,102.643,100.741,100.558,102.127,103.063 "HBv4",243.802,236.732,251.53,245.302 "HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: Stock - Precision: float - X Y Z: 512", Higher Results Are Better "HC",57.7666,57.734,57.7923 "HBv2",93.9442,94.2839,93.1488 "HBv3",124.025,123.922,121.779 "HBv4",323.936,321.771,324.361 "HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256", Higher Results Are Better "HC",57.6431,56.8093,57.478 "HBv2",92.8448,89.3338,93.5772 "HBv3",97.1346,100.308,108.35,104.269,99.6359,104.883,102.65,106.594,103.827,103.032,104.238,105.269,105.706,101.759,101.03 "HBv4",238.765,274.261,248.147,257.682,224.36,284.552,247.166,295.7,255.811,284.008,262.228,229.049,272.211,263.762,290.848 "HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512", Higher Results Are Better "HC",60.945,60.7767,60.9196 "HBv2",91.7805,91.2734,91.3867 "HBv3",121.577,119.667,122.605 "HBv4",315.252,313.511,314.246 "HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: Stock - Precision: float - X Y Z: 512", Higher Results Are Better "HC",109.934,110.134,110.078 "HBv2",187.438,194.502,190.908 "HBv3",234.999,232.824,228.675 "HBv4",600.294,593.045,595.338 "HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: Stock - Precision: double - X Y Z: 512", Higher Results Are Better "HC",31.5273,31.6034,31.5847 "HBv2",46.8967,46.9867,47.0549 "HBv3",56.2517,56.2567,56.14 "HBv4",154.674,154.163,155.108 "HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: Stock - Precision: double - X Y Z: 256", Higher Results Are Better "HC",60.644,60.665,60.4091 "HBv2",96.1983,90.8221,93.1909,93.0433 "HBv3",107.626,102.43,97.653,101.407,102.969,98.9078,98.5936,107.661,106.745,105.356,101.712,102.284,103.608,101.303,102.313 "HBv4",263.465,278.809,281.793,268.57,263.731,280.584,239.429,253.519,255.76,276.657,241.508,275.623 "HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: Stock - Precision: double - X Y Z: 512", Higher Results Are Better "HC",59.9117,59.761,59.792 "HBv2",94.036,94.8512,94.703 "HBv3",117.892,116.972,118.328 "HBv4",309.282,314.767,311.36 "HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 256", Higher Results Are Better "HC",58.6471,58.7705,58.2318 "HBv2",94.6663,93.128,89.1895,90.4095,85.4896,87.5204,88.1382,90.7241,86.8819,92.8707,94.9825,91.0081,92.4525,91.5389,92.8247 "HBv3",102.878,106.61,105.792 "HBv4",268.247,243.647,287.94,251.206,254.28,259.277,255.289,232.662,237.604,247.653,268.213,265.734,260.01,263.745,244.012 "HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 512", Higher Results Are Better "HC",62.8837,62.8407,62.9836 "HBv2",96.5431,96.543,96.3963 "HBv3",136.278,136.75,134.822 "HBv4",357.823,353.906,354.808 "HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 256", Higher Results Are Better "HC",121.945,122.619,123.752 "HBv2",201.554,207.024,196.64,215.697,209.966,180.582,184.953,201.933,197.3,210.764,184.462,209.548 "HBv3",208.269,216.059,239.205,224.648,239.637,206.444,211.356,225.087,231.999,209.043,237.047,240.96,214.306,221.312,202.54 "HBv4",474.361,388.81,411.086,364.812,371.797,430.669,475.081,389.895,399.594,401.692,434.282,452.777,439.769,461.523,510.367 "HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 512", Higher Results Are Better "HC",114.296,113.709,113.814 "HBv2",191.44,193.377,188.605 "HBv3",259.959,251.621,260.677 "HBv4",616.535,629.914,628.403 "HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 512", Higher Results Are Better "HC",33.5212,33.5728,33.5695 "HBv2",47.413,47.3384,47.3573 "HBv3",57.2815,57.1526,57.2449 "HBv4",159.174,159.333,159.267 "HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 256", Higher Results Are Better "HC",59.3166,60.0999,59.2416 "HBv2",90.8161,90.7867,94.7841 "HBv3",109.894,102.033,106.025,104.127,104.688,105.398 "HBv4",270.367,209.23,279.642,258.176,234.84,233.373,256.217,236.599,258.079,265.462,245.963,225.857,262.419,241.626,238.029 "HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 512", Higher Results Are Better "HC",57.8958,57.8337,58.0314 "HBv2",93.2346,92.8691,93.6682 "HBv3",124.519,124.587,124.678 "HBv4",325.513,322.272,323.303 "HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 256", Higher Results Are Better "HC",57.2174,56.8995,57.2701 "HBv2",87.8912,89.0055,74.3117,87.1022,90.8571,89.2586,87.0891,93.3039,91.2598,90.0739,88.5399,91.5058,88.0885,90.3601,90.4741 "HBv3",106.824,104.733,108.339 "HBv4",270.111,274.173,289.314,278.634,242.693,269.95,282.305,257.66,269.649,288.283,268.949,251.2,285.012,295.759 "HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 512", Higher Results Are Better "HC",60.7626,60.7512,60.9473 "HBv2",91.2913,91.5468,91.4506 "HBv3",120.875,121.018,120.979 "HBv4",317.139,312.735,318.072 "HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 512", Higher Results Are Better "HC",110.099,110.392,110.101 "HBv2",187.167,190.357,190.101 "HBv3",234.024,233.512,233.854 "HBv4",590.136,587.06,595.58 "HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 512", Higher Results Are Better "HC",31.5878,31.5452,31.6209 "HBv2",47.1038,46.88,46.8029 "HBv3",56.2761,56.3243,56.2067 "HBv4",154.521,154.609,154.575 "HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 256", Higher Results Are Better "HC",60.5155,61.1736,60.9724 "HBv2",93.5312,93.7748,89.8588 "HBv3",103.244,110.778,105.133,108.279,99.8195,104.145,100.869,102.656,104.735,107.552,107.776,110.152,105.906,105.357,106.103 "HBv4",266.205,248.338,256.879,256.274,254.433,284.567,246.885,261.912,265.341,263.038,272.427,254.001,253.729,239.076,257.635 "HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 512", Higher Results Are Better "HC",59.8669,59.9494,59.8698 "HBv2",95.0436,95.0343,95.5189 "HBv3",117.664,119.205,117.838 "HBv4",310.522,312.877,310.403 "ACES DGEMM 1.0 - Sustained Floating-Point Rate", Higher Results Are Better "HC",13.881537,14.740964,13.800569,9.888336,12.69675,15.000746,15.533725,13.905622,15.788597,15.846075,14.404483,13.376925 "HBv2",5.637225,5.888434,6.526881,6.421981,5.194115,5.324494,8.050241,7.599529,6.205367,7.072558,7.391343,5.432806 "HBv3",24.929991,24.87451,25.340555 "HBv4",52.390618,55.031202,51.916487,51.882147,52.791745 "libxsmm 2-1.17-3645 - M N K: 128", Higher Results Are Better "HC",1235.6,1336.2,1351.9,1339.1,1279.4,1279.4,1234.6,1161.5,1299.2,1234.8,1301.2,1314.1,1346,1255.3,1303.3 "HBv2",2094.8,1641,921.4,931.5,754.9,691.7,685.3,737.8,644.4 "HBv3",2196.4,2191.5,2334.2,2321.5,2339.4,2318,2305.5,2231,2223.8 "HBv4",6701.4,6537.6,6726.5 "libxsmm 2-1.17-3645 - M N K: 256", Higher Results Are Better "HC",982.1,924.6,954.3,779.8,954.4,852.7,818.6,950.9,919.4 "HBv2",1194.2,1190.7,1113.3,1171.8,1135,1079.7,1144,1079.8,1046 "HBv3",1972.1,2066.8,2059.2,2084.7 "HBv4",6872.1,6502.6,6842.2,6976.4,7067.9,6861.7,6983.3,7020.8,7050.2 "libxsmm 2-1.17-3645 - M N K: 32", Higher Results Are Better "HC",369.1,385,390.7,392.5,371.5,380.2,396.3,390.5,388.2 "HBv2",168.2,162.7,163.5 "HBv3",1602.2,1521.3,1444.2,1211.7,1480.1,1502.7,1515.4,1551.6,1538.4,1315.2,1386.9,1187.3 "HBv4",6262.1,6239.3,5987.5 "libxsmm 2-1.17-3645 - M N K: 64", Higher Results Are Better "HC",732.7,755.8,755.8 "HBv2",322.7,331.2,348.1,331.5,332.6,328.6,324.2,314.3,354.3,321,329.5,336.9,339.1,326.6,329.9 "HBv3",2397.2,2421.5,2422.3 "HBv4",6025.3,5902.4,5766.8 "Intel Open Image Denoise 2.0 - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only", Higher Results Are Better "HC",1.8382690858288,1.8638008864237,1.8382555689953 "HBv2",2.0173410637843,2.0249514517889,2.0508066848095 "HBv3",1.7700493489759,1.7141015708027,1.6702326132961,1.7406288892177 "HBv4",3.052363292279,3.163746001816,3.1192294255627 "Intel Open Image Denoise 2.0 - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only", Higher Results Are Better "HC",1.851063435944,1.8408781725234,1.8580729553765 "HBv2",2.0154504430968,1.9985011241569,2.0223673832588 "HBv3",1.7370731359902,1.5958788025802,1.681933011972,1.7017916462452,1.7092117969798,1.6802571465537,1.7015281424247,1.6325890903867,1.7592841824518,1.6514022056128,1.7100448031738,1.705279887588,1.7236000489502,1.70905113481,1.6284098903103 "HBv4",3.1264557559614,3.0562160377993,3.0659046871551 "Intel Open Image Denoise 2.0 - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only", Higher Results Are Better "HC",0.86874934843799,0.86858334057153,0.85933539000937 "HBv2",1.0008607402366,0.94431381436679,1.0270462355674,0.92315645655626,0.95217238128791,0.97204401415296,0.96665990004737,0.95531057146678,0.93857936627121,1.0029335807236,0.97703957010259,0.92112413990033,0.92800534531079,0.96224163812017,0.97088321245837 "HBv3",0.80012161848601,0.8072458386477,0.78798480765291 "HBv4",1.3138774362572,1.3290396492399,1.3291686050376 "OSPRay 2.12 - Benchmark: particle_volume/ao/real_time", Higher Results Are Better "HC",9.01064,8.96599,9.01191 "HBv2",22.3689,22.351,22.3805 "HBv3",24.4907,24.4612,24.461 "HBv4",36.5883,36.7269,36.6491 "OSPRay 2.12 - Benchmark: particle_volume/scivis/real_time", Higher Results Are Better "HC",8.94875,8.91428,8.77191 "HBv2",22.116,22.2077,22.2005 "HBv3",24.231,24.2144,24.2138 "HBv4",36.5985,36.6058,36.4294 "OSPRay 2.12 - Benchmark: particle_volume/pathtracer/real_time", Higher Results Are Better "HC",108.706,102.434,104.042,92.0821,115.561,50.3994,95.727,122.911,79.0047 "HBv2",163.746,162.685,160.917 "HBv3",168.655,168.377,158.582,169.06,169.257,168.692,169.905 "HBv4",208.398,206.499,209.252 "OSPRay 2.12 - Benchmark: gravity_spheres_volume/dim_512/ao/real_time", Higher Results Are Better "HC",9.58259,9.47346,9.51275 "HBv2",9.26851,8.25984,8.77951,8.70043,9.22998,9.18246,7.13405,9.12039,8.53701,8.66205,8.3327,8.77514,8.89276,7.91822,9.24017 "HBv3",11.7736,11.7534,11.7232 "HBv4",38.1024,38.0203,38.108 "OSPRay 2.12 - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time", Higher Results Are Better "HC",9.01787,9.05873,9.00406 "HBv2",7.90239,8.7597,8.78559,8.81279,8.29385,8.06451,8.61788,8.81554,8.76806,8.20158,8.26708,6.92474,8.56101,7.81803,8.25566 "HBv3",11.1636,11.1257,11.2277 "HBv4",36.9171,37.3128,36.9573 "OSPRay 2.12 - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time", Higher Results Are Better "HC",10.0598,10.034,10.0895 "HBv2",13.991,13.8393,13.9946 "HBv3",14.5886,14.6426,14.5953 "HBv4",32.7221,32.5779,32.4517 "Laghos 3.1 - Test: Triple Point Problem", Higher Results Are Better "HC",156.6894688784,156.43445646,156.4397775204 "HBv2",182.7576025263,183.9915559947,184.7226211154 "HBv3",193.4065127817,192.0825053315,192.7229172975 "HBv4",227.9218646289,226.1022784929,230.4275195877 "Laghos 3.1 - Test: Sedov Blast Wave, ube_922_hex.mesh", Higher Results Are Better "HC",249.1675427508,244.8151776714,248.4824917937 "HBv2",331.0009959409,349.5059525171,349.7763220201,348.399945573,347.0369641047 "HBv3",361.9731759603,361.9503014741,361.5053777495 "HBv4",403.6678326382,401.3848813157,403.758282827 "PETSc 3.19 - Test: Streams", Higher Results Are Better "HC",150867.0562,151752.7032,151238.9878 "HBv2",213795.9812,186159.4737,213896.7294,214469.8366,216555.0282,142495.7809 "HBv3",286773.562,286659.7783,267956.4973,286685.9137,286665.1991,286598.0361,286674.4272 "HBv4",372428.1499,671902.1321,671678.8955,669702.6302,668611.2153,336060.7432,669205.2174,655847.0699,670323.2081 "7-Zip Compression 22.01 - Test: Compression Rating", Higher Results Are Better "HC",215107,217124,217123 "HBv2",494658,506150,503794 "HBv3",580847,561236,557703 "HBv4",1088859,1075330,1086381 "7-Zip Compression 22.01 - Test: Decompression Rating", Higher Results Are Better "HC",151396,150765,150363 "HBv2",369434,390175,406123 "HBv3",408022,411445,400081 "HBv4",727340,744107,757129 "Liquid-DSP 1.6 - Threads: 128 - Buffer Length: 256 - Filter Length: 57", Higher Results Are Better "HC",1565900000,1580100000,1565900000 "HBv2",4335900000,4305500000,4286000000 "HBv3",4214900000,4207300000,4228700000 "HBv4",5459700000,5380200000,5398800000 "Liquid-DSP 1.6 - Threads: 176 - Buffer Length: 256 - Filter Length: 32", Higher Results Are Better "HC",1519700000,1540500000,1549700000 "HBv2",4251100000,4249100000,4326400000 "HBv3",3865400000,3868100000,3858500000 "HBv4",6180900000,6194300000,6170100000 "Liquid-DSP 1.6 - Threads: 176 - Buffer Length: 256 - Filter Length: 57", Higher Results Are Better "HC",1669000000,1690900000,1689200000 "HBv2",4345600000,4338700000,4366000000 "HBv3",4264000000,4286800000,4293800000 "HBv4",7033100000,7160400000,7091600000 "Liquid-DSP 1.6 - Threads: 176 - Buffer Length: 256 - Filter Length: 512", Higher Results Are Better "HC",545730000,540260000,547890000 "HBv2",919240000,923110000,930380000 "HBv3",818080000,815310000,811460000 "HBv4",2214000000,2219800000,2232100000 "NAS Parallel Benchmarks 3.4 - Test / Class: BT.C", Higher Results Are Better "HC",106347.7,106209.47,106134.39 "HBv2",241308.65,241678.94,241542.05 "HBv3",312433.43,317818.23,311190.27 "HBv4",733730.44,744794.89,754716.38 "NAS Parallel Benchmarks 3.4 - Test / Class: CG.C", Higher Results Are Better "HC",27277.99,28027.52,27551.64 "HBv2",32148.02,38822.19,37274.74,38039.89,36929.79,33240.81,31145.32,41343.61,38768.08,38316.29,37548.5,35418.69,37408.04,37566.49,31539.78 "HBv3",36993.02,35696.72,37354.55 "HBv4",73046.39,75121.55,74137.88 "NAS Parallel Benchmarks 3.4 - Test / Class: FT.C", Higher Results Are Better "HC",55484.24,55038.7,55341.64 "HBv2",97940.68,98464.82,99050.19 "HBv3",102710.99,102120.55,101535.53 "HBv4",230686.77,226865.45,232942.14 "NAS Parallel Benchmarks 3.4 - Test / Class: IS.D", Higher Results Are Better "HC",1849.95,1869.2,1874.89 "HBv2",3998.18,3808.28,4112.15,3994.24,3961.38,4037.99,3926.92 "HBv3",5554.37,5864.94,5697.49,5803.23 "HBv4",12307.58,12497.61,14011.89,11891.29,12504.75,11977.33,13097.36,12712.97,12870.98,11582.83,12779.21,12542.67,12663.79,15992.01,15078.24 "NAS Parallel Benchmarks 3.4 - Test / Class: MG.C", Higher Results Are Better "HC",63403.64,63145.73,63662.67 "HBv2",107819.8,108701.9,110435.47 "HBv3",138438.25,128152.84,130951.07,138056.33,131991.06,138417.41,130041.59,122288.74,129972.51,134547.2,133636.83,121866.81,135189.76,130661.3,130319.48 "HBv4",431692.85,488545.03,423928.65,438907.68,432078.55,438842.81,429987.77,435659.82,426103.25,415671.76,439650.53,432604.81,480360.02,426245.48,420978.4 "NAS Parallel Benchmarks 3.4 - Test / Class: SP.C", Higher Results Are Better "HC",41491.85,41392.57,41747.41 "HBv2",105417.17,104509.98,104388.54 "HBv3",208817.12,203506.4,205063.25 "HBv4",432419.69,413042.23,435094.55,407516.77,448615.1,427543.05,436840.04,430322.04,432616.7,436903.74,416693.43,430477.48,411505.61,417403.93,432490.48 "PostgreSQL 15 - Scaling Factor: 1 - Clients: 500 - Mode: Read Only", Higher Results Are Better "HC",1359127.943124,1349873.148124,1351528.618832 "HBv2",2468013.834654,2475122.528533,2458848.405986 "HBv3",2502058.075527,2381365.275833,2394462.270333,2461108.985496 "HBv4",3156146.155029,3162862.386731,3166536.728369 "PostgreSQL 15 - Scaling Factor: 1 - Clients: 800 - Mode: Read Only", Higher Results Are Better "HC",1154151.148736,1163722.663864,1160603.324682 "HBv2",2463458.875086,2486337.296256,2494164.906927 "HBv3",2498724.571334,2485346.411393,2452680.263151 "HBv4",3142297.335636,3144207.786021,3152014.815761 "NAMD 2.14 - ATPase Simulation - 327,506 Atoms", Lower Results Are Better "HC",0.525853,0.52715,0.527899 "HBv2",0.264831,0.26398,0.266329 "HBv3",0.271122,0.271359,0.270841 "HBv4",0.143648,0.143744,0.144006 "Pennant 1.0.1 - Test: sedovbig", Lower Results Are Better "HC",24.98334,25.00354,25.0718 "HBv2",5.894855,5.935468,5.917091 "HBv3",6.233437,6.327764,6.27012 "HBv4",3.564017,3.617939,3.562216 "Pennant 1.0.1 - Test: leblancbig", Lower Results Are Better "HC",10.67825,10.63973,10.61847 "HBv2",3.452058,3.48383,3.464767 "HBv3",3.6541,3.636119,3.657732 "HBv4",2.064607,2.143491,2.158125 "oneDNN 3.1 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "HC",709.66,707.806,704.501 "HBv2",1439.59,1343.48,1360.36,1337.83,1329.3,1354.14,1438.12,1320.83,1308.08,1327.37,1490.48,1400.7,1382.09,1341.72,1341.88 "HBv3",896.51,874.047,889.872 "HBv4",530.552,532.877,537.053 "oneDNN 3.1 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "HC",443.043,438.949,445.422 "HBv2",954.763,921.547,893.736,891.768,927.449,912.997,845.557,880.853,942.6,863.995,969.217,900.562,874.43,964.252,920.331 "HBv3",523.548,528.088,538.284 "HBv4",424.886,422.661,402.02,403.83,415.246,397.551,406.175,417.5 "PostgreSQL 15 - Scaling Factor: 1 - Clients: 500 - Mode: Read Only - Average Latency", Lower Results Are Better "HC",0.368,0.37,0.37 "HBv2",0.203,0.202,0.203 "HBv3",0.2,0.21,0.209,0.203 "HBv4",0.158,0.158,0.158 "PostgreSQL 15 - Scaling Factor: 1 - Clients: 800 - Mode: Read Only - Average Latency", Lower Results Are Better "HC",0.693,0.687,0.689 "HBv2",0.325,0.322,0.321 "HBv3",0.32,0.322,0.326 "HBv4",0.255,0.254,0.254 "Timed Node.js Compilation 19.8.1 - Time To Compile", Lower Results Are Better "HC",326.07,331.711,334.058 "HBv2",192.293,194.001,196.807 "HBv3",187.162,186.887,182.651 "HBv4",149.427,144.506,161.077,144.22,162.061,143.87,147.842,159.367,143.413,159.826,142.558,148.534 "Blender 3.6 - Blend File: BMW27 - Compute: CPU-Only", Lower Results Are Better "HC",49.58,50.67,49.61 "HBv2",19.38,19.89,19.48 "HBv3",19.62,19.26,19.41 "HBv4",10.04,10.26,10.02 "Blender 3.6 - Blend File: Classroom - Compute: CPU-Only", Lower Results Are Better "HC",138.58,138.49,138.45 "HBv2",51.12,51.09,50.65 "HBv3",50.63,50.83,50.67 "HBv4",25.46,25.55,25.82 "Blender 3.6 - Blend File: Fishy Cat - Compute: CPU-Only", Lower Results Are Better "HC",71.37,72.16,71.76 "HBv2",26.38,26.5,26.42 "HBv3",25.46,25.9,25.42 "HBv4",13.65,13.92,13.66 "Blender 3.6 - Blend File: Barbershop - Compute: CPU-Only", Lower Results Are Better "HC",525.76,529.24,525.8 "HBv2",211.7,211.01,211.66 "HBv3",188.32,189.64,188.91 "HBv4",96.65,98.27,97.64 "Blender 3.6 - Blend File: Pabellon Barcelona - Compute: CPU-Only", Lower Results Are Better "HC",174.47,175.13,175.62 "HBv2",64.42,64.72,65.38 "HBv3",62.35,62.57,63.79 "HBv4",33.14,33.12,32.76