EPYC 2021 Benchmarks Tests for a future article. ,,"EPYC 7702","EPYC 7402P","EPYC 7302P","EPYC 7232P","EPYC 7552","EPYC 7272","EPYC 7662","EPYC 7502P","EPYC 7F52","EPYC 7542","EPYC 7282","EPYC 7F32","EPYC 7532","EPYC 7642","EPYC 7742" Processor,,AMD EPYC 7702 64-Core @ 2.00GHz (64 Cores / 128 Threads),AMD EPYC 7402P 24-Core @ 2.80GHz (24 Cores / 48 Threads),AMD EPYC 7302P 16-Core @ 3.00GHz (16 Cores / 32 Threads),AMD EPYC 7232P 8-Core @ 3.10GHz (8 Cores / 16 Threads),AMD EPYC 7552 48-Core @ 2.20GHz (48 Cores / 96 Threads),AMD EPYC 7272 12-Core @ 2.90GHz (12 Cores / 24 Threads),AMD EPYC 7662 64-Core @ 2.00GHz (64 Cores / 128 Threads),AMD EPYC 7502P 32-Core @ 2.50GHz (32 Cores / 64 Threads),AMD EPYC 7F52 16-Core @ 3.50GHz (16 Cores / 32 Threads),AMD EPYC 7542 32-Core @ 2.90GHz (32 Cores / 64 Threads),AMD EPYC 7282 16-Core @ 2.80GHz (16 Cores / 32 Threads),AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads),AMD EPYC 7532 32-Core @ 2.40GHz (32 Cores / 64 Threads),AMD EPYC 7642 48-Core @ 2.30GHz (48 Cores / 96 Threads),AMD EPYC 7742 64-Core @ 2.25GHz (64 Cores / 128 Threads) Motherboard,,ASRockRack EPYCD8 (P2.40 BIOS),ASRockRack EPYCD8 (P2.40 BIOS),ASRockRack EPYCD8 (P2.40 BIOS),ASRockRack EPYCD8 (P2.40 BIOS),ASRockRack EPYCD8 (P2.40 BIOS),ASRockRack EPYCD8 (P2.40 BIOS),ASRockRack EPYCD8 (P2.40 BIOS),ASRockRack EPYCD8 (P2.40 BIOS),ASRockRack EPYCD8 (P2.40 BIOS),ASRockRack EPYCD8 (P2.40 BIOS),ASRockRack EPYCD8 (P2.40 BIOS),ASRockRack EPYCD8 (P2.40 BIOS),ASRockRack EPYCD8 (P2.40 BIOS),ASRockRack EPYCD8 (P2.40 BIOS),ASRockRack EPYCD8 (P2.40 BIOS) Chipset,,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse Memory,,8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1,8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1,8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1,8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1,8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1,8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1,8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1,8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1,7 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1,8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1,8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1,8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1,8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1,8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1,8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1 Disk,,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP Graphics,,llvmpipe,llvmpipe,llvmpipe,llvmpipe,llvmpipe,llvmpipe,llvmpipe,llvmpipe,llvmpipe,llvmpipe,llvmpipe,llvmpipe,llvmpipe,llvmpipe,llvmpipe Monitor,,VE228,VE228,VE228,VE228,VE228,VE228,VE228,VE228,VE228,VE228,VE228,VE228,VE228,VE228,VE228 Network,,2 x Intel I350,2 x Intel I350,2 x Intel I350,2 x Intel I350,2 x Intel I350,2 x Intel I350,2 x Intel I350,2 x Intel I350,2 x Intel I350,2 x Intel I350,2 x Intel I350,2 x Intel I350,2 x Intel I350,2 x Intel I350,2 x Intel I350 OS,,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04 Kernel,,5.11.0-051100rc6daily20210201-generic (x86_64) 20210131,5.11.0-051100rc6daily20210201-generic (x86_64) 20210131,5.11.0-051100rc6daily20210201-generic (x86_64) 20210131,5.11.0-051100rc6daily20210201-generic (x86_64) 20210131,5.11.0-051100rc6daily20210201-generic (x86_64) 20210131,5.11.0-051100rc6daily20210201-generic (x86_64) 20210131,5.11.0-051100rc6daily20210201-generic (x86_64) 20210131,5.11.0-051100rc6daily20210201-generic (x86_64) 20210131,5.11.0-051100rc6daily20210201-generic (x86_64) 20210131,5.11.0-051100rc6daily20210201-generic (x86_64) 20210131,5.11.0-051100rc6daily20210201-generic (x86_64) 20210131,5.11.0-051100rc6daily20210201-generic (x86_64) 20210131,5.11.0-051100rc6daily20210201-generic (x86_64) 20210131,5.11.0-051100rc6daily20210201-generic (x86_64) 20210131,5.11.0-051100rc6daily20210201-generic (x86_64) 20210131 Desktop,,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4 Display Server,,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8 Display Driver,,llvmpipe,llvmpipe,llvmpipe,llvmpipe,llvmpipe,llvmpipe,llvmpipe,,,,,,,, OpenGL,,4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits),4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits),4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits),4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits),4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits),4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits),4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits),4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits),4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits),4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits),4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits),4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits),4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits),4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits),4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits) Compiler,,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0 File-System,,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4 Screen Resolution,,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080 ,,"EPYC 7702","EPYC 7402P","EPYC 7302P","EPYC 7232P","EPYC 7552","EPYC 7272","EPYC 7662","EPYC 7502P","EPYC 7F52","EPYC 7542","EPYC 7282","EPYC 7F32","EPYC 7532","EPYC 7642","EPYC 7742" "Cpuminer-Opt - Algorithm: Skeincoin (kH/s)",HIB,605852,210539,151030,63648,468227,105140,631038,316350,182403,324420,150287,79365,317250,470502,629368 "Sysbench - Test: CPU (Events/sec)",HIB,106421.9511,42008.1146,27632.1854,13398.0984,80743.8888,20091.9591,108892.2240,56038.7194,32649.3571,56066.7873,26778.6189,16323.9154,55254.6569,81398.2896,108070.7292 "Stress-NG - Test: CPU Stress (Bogo Ops/s)",HIB,19926.61,8541.12,5622.82,2708.90,15958.16,4078.21,20174.76,11121.59,6629.06,11234.60,5463.45,3306.39,10901.47,16152.08,21092.56 "NAS Parallel Benchmarks - Test / Class: EP.D (Mop/s)",HIB,3989.79,1813.29,1190.48,579.18,3292.84,860.01,4019.09,2380.27,1410.59,2389.76,1156.26,705.21,2333.54,3322.99,4269.26 "Stress-NG - Test: Vector Math (Bogo Ops/s)",HIB,397326.45,182716.39,120826.81,58583.38,328019.70,87851.58,400773.38,237596.66,142756.35,241722.09,117080.86,71366.17,232455.68,332363.94,427545.66 "NAS Parallel Benchmarks - Test / Class: EP.C (Mop/s)",HIB,3908.23,1806.54,1191.90,578.12,3252.13,867.81,3967.28,2368.69,1407.62,2375.48,1155.88,704.69,2318.44,3310.34,4195.62 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,25067.04,12800.59,9316.80,4012.40,23441.91,6689.95,28284.87,18612.54,9663.43,19922.01,10017.98,4953.65,16446.88,22986.05,28361.73 "OSPray - Demo: San Miguel - Renderer: Path Tracer (FPS)",HIB,4.92,2.45,1.65,0.76,4.17,1.22,4.99,3.03,1.48,3.23,1.59,0.95,2.97,4.21,5.35 "John The Ripper - Test: Blowfish (Real C/S)",HIB,70033,33755,22314,10825,59963,16224,73579,43703,26345,44596,21454,13183,42800,61119,75234 "Stress-NG - Test: Crypto (Bogo Ops/s)",HIB,11996.59,5847.70,3871.57,1878.74,9992.15,2821.19,12091.56,7273.71,4580.08,7720.58,3760.66,2288.33,7105.73,10112.22,13026.17 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU (FPS)",HIB,25012.98,13220.95,9314.82,4115.44,23559.17,6803.09,28316.50,18514.60,9866.08,19958.41,9884.62,4984.35,16443.73,22996.93,28270.21 "m-queens - Time To Solve (sec)",LIB,13.839,28.194,42.381,87.194,16.610,58.218,13.752,22.632,35.920,21.372,43.738,71.579,23.050,16.299,12.782 "Pennant - Test: leblancbig (Hydro Cycle Time - sec)",LIB,7.033982,16.65375,21.95188,45.15460,8.988538,33.80852,6.995321,14.78157,16.13929,14.16482,28.99392,34.58003,10.88576,8.176602,6.639240 "Stockfish - Total Time (Nodes/s)",HIB,100908453,48804732,32973749,16034994,82397132,24314443,98847469,60864616,39043410,64152929,31246137,19191199,58384026,83568166,108543125 "Coremark - CoreMark Size 666 - Iterations Per Second (Iterations/Sec)",HIB,1845888.797183,902070.151334,603381.333002,293387.396269,1530338.787547,440879.641737,1867023.456760,1147733.948731,716393.884903,1203386.720063,586659.098215,356570.406776,1123555.301076,1550727.145479,1985242.504167 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,1.07844,3.54347,3.70640,6.37668,1.71967,5.95348,0.993732,3.46236,2.00183,3.46174,5.86458,4.30130,1.48374,1.10805,0.955977 "Aircrack-ng - (k/s)",HIB,143169.120,71372.792,48284.826,23406.397,119683.651,35086.951,143292.786,87391.794,56973.849,94237.651,46017.203,28528.344,85303.352,120520.682,155994.026 "C-Ray - Total Time - 4K, 16 Rays Per Pixel (sec)",LIB,12.849,25.683,38.488,79.168,15.212,52.806,12.815,20.907,32.580,19.546,39.655,64.969,21.429,15.039,11.896 "IndigoBench - Acceleration: CPU - Scene: Supercar (M samples/s)",HIB,19.095,9.630,6.575,3.117,15.984,4.855,19.062,11.854,7.684,12.738,6.214,3.883,11.531,16.230,20.743 "IndigoBench - Acceleration: CPU - Scene: Bedroom (M samples/s)",HIB,8.811,4.494,3.129,1.456,7.555,2.289,8.898,5.477,3.461,5.950,2.932,1.808,5.415,7.596,9.671 "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,660079,317661,219055,106073,540558,155347,652602,387792,232507,412076,208150,120622,378660,541775,702166 "OSPray - Demo: XFrog Forest - Renderer: Path Tracer (FPS)",HIB,5.92,3.07,2.15,0.99,5.10,1.55,6.00,3.75,2.34,4.04,1.98,1.27,3.70,5.15,6.52 "Stress-NG - Test: Context Switching (Bogo Ops/s)",HIB,20917619.76,10443329.12,7003110.18,3438510.35,17727598.84,5095560.16,20981193.88,12896969.64,8225794.40,13858394.61,6612368.67,4265815.03,12627261.93,17595501.81,22318900.99 "OSPray - Demo: XFrog Forest - Renderer: SciVis (FPS)",HIB,11.07,5.76,4.02,1.89,9.52,2.93,11.24,7.01,4.45,7.58,3.72,2.39,6.90,9.58,12.20 "OSPray - Demo: NASA Streamlines - Renderer: Path Tracer (FPS)",HIB,16.67,8.77,6.07,2.82,14.29,4.39,16.95,10.60,6.83,11.36,5.65,3.65,10.42,14.49,18.18 "ASKAP - Test: tConvolve MPI - Degridding (Mpix/sec)",HIB,20185.5,12173.7,10427.2,3350.22,16990.1,6100.18,20993.1,12067.3,13692.3,11976.9,6587.57,6907.54,18311.7,21472.3,21495.2 "Tachyon - Total Time (sec)",LIB,19.1218,37.7337,54.8405,112.3935,22.8100,75.0354,19.0841,30.8963,46.5942,28.5901,58.4691,92.1575,31.5657,22.5643,17.5380 "John The Ripper - Test: MD5 (Real C/S)",HIB,4183000,2127333,1460333,717175,3528667,1072333,4195333,2596333,1731667,2798667,1354000,874700,2534000,3557667,4568000 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,1.15943,4.13382,3.76395,7.15030,2.28611,4.97512,1.12502,2.96283,2.77826,2.95830,4.47287,6.68209,1.25154,1.22011,1.14828 "Chaos Group V-RAY - Mode: CPU (vsamples)",HIB,45292,,,7864,37843,12198,44658,28448,19521,30632,15246,10044,28401,39215,49364 "ASTC Encoder - Preset: Exhaustive (sec)",LIB,45.80,89.07,129.26,262.14,54.34,176.04,45.84,73.38,109.17,67.95,137.78,214.44,75.27,54.04,41.80 "asmFish - 1024 Hash Memory, 26 Depth (Nodes/s)",HIB,122849461,62581775,42112219,21027795,105304578,31791813,126290077,78084684,46342665,82716262,41583844,24675753,74422699,103932785,131041886 "Stress-NG - Test: Matrix Math (Bogo Ops/s)",HIB,179226.24,92207.07,63930.72,31690.60,152001.95,46780.94,179496.78,112205.01,76923.39,122762.96,59431.03,38378.08,110766.79,127853.09,197426.57 "OSPray - Demo: Magnetic Reconnection - Renderer: SciVis (FPS)",HIB,40,20.83,14.08,6.99,34.48,10.42,40,26.05,13.45,27.78,13.89,8.16,25,34.48,43.48 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,119.17,219.75,317.27,664.29,139.21,426.59,118.26,182.76,265.13,167.99,338.52,508.26,189.09,137.83,107.79 "NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,0.49264,0.93705,1.35058,2.72553,0.57484,1.83895,0.48908,0.77439,1.14375,0.71549,1.45145,2.22949,0.79079,0.57048,0.44627 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,103.55,196.70,287.81,558.87,122.03,387.23,101.68,162.29,237.79,148.50,304.34,454.49,168.40,121.21,91.67 "7-Zip Compression - Compress Speed Test (MIPS)",HIB,264908,138575,95137,45941,229747,69655,270140,171362,109069,176148,90588,56955,171242,234062,279656 "Facebook RocksDB - Test: Random Read (Op/s)",HIB,218469824,114391434,76972090,39206156,185095008,56928967,214717760,139338056,93883130,147488280,74816560,48331735,133038550,185712982,238239736 "OSPray - Demo: San Miguel - Renderer: SciVis (FPS)",HIB,55.56,30.30,20.83,10.31,50,15.625,58.82,37.04,22.56,40,19.61,12.5,35.71,50,62.5 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,154.42,291.52,411.56,866.85,180.94,554.64,154.23,237.65,356.90,223.08,432.92,683.81,243.58,179.18,143.94 "Chaos Group V-RAY - Mode: CPU (Ksamples)",HIB,62754,33184,23486,11136,53570,17550,62295,37085,27132,38904,22022,14204,36223,54445,66639 "Pennant - Test: sedovbig (Hydro Cycle Time - sec)",LIB,11.94247,25.88911,34.02554,66.41848,15.34740,49.11209,11.80023,23.02876,25.87830,22.23304,41.68767,52.78843,18.06182,13.86958,11.12836 "ASKAP - Test: tConvolve MPI - Gridding (Mpix/sec)",HIB,20382.2,13892.5,12204.4,3879.10,17300.8,7130.89,20991.7,12698.2,16399.7,12699.5,7358.19,8265.99,20585.3,23040.7,21311.9 "Rodinia - Test: OpenMP LavaMD (sec)",LIB,54.711,102.995,147.382,296.686,64.207,200.348,54.654,85.005,125.533,79.114,157.168,243.843,87.556,63.472,50.337 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 250 - Mode: Read Only (TPS)",HIB,899992,521653,368449,169832,791456,275677,939750,614183,397038,655774,343229,213345,587548,775687,997652 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency (ms)",LIB,0.279,0.480,0.679,1.473,0.316,0.908,0.267,0.407,0.630,0.382,0.729,1.173,0.426,0.323,0.251 "Facebook RocksDB - Test: Read While Writing (Op/s)",HIB,8232474,4397695,3086237,1470621,7183579,2357928,8175383,5486066,3012387,5564433,3023239,1603673,5214302,7131600,8597452 "OSPray - Demo: NASA Streamlines - Renderer: SciVis (FPS)",HIB,76.92,41.67,29.41,14.29,66.67,21.74,76.92,50,29.59,55.07,27.78,17.24,47.62,66.67,83.33 "LuxCoreRender - Scene: Rainbow Colors and Prism (M samples/sec)",HIB,7.82,4.17,2.91,1.50,6.75,2.14,7.92,5.04,3.57,5.54,2.74,1.84,4.92,6.81,8.64 "LuxCoreRender - Scene: DLSC (M samples/sec)",HIB,7.04,3.83,2.68,1.38,6.13,1.98,7.21,4.65,3.27,5.03,2.53,1.68,4.54,6.19,7.77 "ASTC Encoder - Preset: Thorough (sec)",LIB,6.35,11.71,16.68,33.15,7.42,22.40,6.38,9.73,14.02,9.08,17.73,27.16,9.99,7.40,5.89 "OpenVKL - Benchmark: vklBenchmark (Items / Sec)",HIB,492,279,192,96,441,142,504,337,222,359,186,116,328,446,535 "rays1bench - Large Scene (mrays/s)",HIB,243.57,134.19,90.37,48.61,217.70,68.51,243.25,167.75,109.91,182.59,84.54,59.60,163.00,218.73,269.74 "toyBrot Fractal Generator - Implementation: TBB (ms)",LIB,,,,,,,,,,,25411,41606,13556,9723,7517 "toyBrot Fractal Generator - Implementation: C++ Threads (ms)",LIB,,,,,,,,,,,25426,41573,13619,9652,7573 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,40.07,69.84,102.29,198.45,46.59,136.20,40.33,60.75,83.45,55.32,108.34,156.31,61.25,45.78,36.60 "OpenVINO - Model: Person Detection 0106 FP32 - Device: CPU (FPS)",HIB,6.05,3.51,2.51,1.28,5.53,1.81,6.60,4.36,2.98,4.70,2.38,1.64,4.19,5.67,6.87 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 100 - Mode: Read Only (TPS)",HIB,897453,499138,357781,184251,832509,278510,915523,610667,381184,654914,344598,215617,578340,835457,981382 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency (ms)",LIB,0.112,0.201,0.280,0.543,0.120,0.359,0.109,0.164,0.263,0.153,0.290,0.464,0.173,0.12,0.102 "OpenVINO - Model: Person Detection 0106 FP16 - Device: CPU (FPS)",HIB,6.02,3.53,2.51,1.29,5.53,1.81,6.62,4.37,2.99,4.74,2.37,1.66,4.20,5.67,6.83 "toyBrot Fractal Generator - Implementation: C++ Tasks (ms)",LIB,,,,,,,,,,,25683,41679,13798,9839,7880 "POV-Ray - Trace Time (sec)",LIB,11.500,20.464,28.702,55.775,13.273,38.411,11.501,17.140,24.183,15.943,30.506,45.468,17.670,13.270,10.684 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,55.40,91.81,129.81,267.24,62.72,177.65,55.82,78.01,108.40,72.27,139.46,207.12,78.94,61.93,51.40 "toyBrot Fractal Generator - Implementation: OpenMP (ms)",LIB,,,,,,,,,,,25388,41422,13926,9892,7991 "OpenVINO - Model: Face Detection 0106 FP32 - Device: CPU (FPS)",HIB,7.88,4.73,3.32,1.74,7.22,2.47,8.98,5.72,4.02,6.13,3.23,2.16,5.68,7.79,8.92 "OpenVINO - Model: Face Detection 0106 FP16 - Device: CPU (FPS)",HIB,7.88,4.76,3.31,1.75,7.20,2.47,8.97,5.73,4.04,6.17,3.16,2.16,5.68,7.81,8.89 "CloverLeaf - Lagrangian-Eulerian Hydrodynamics (sec)",LIB,14.70,20.35,25.21,69.91,15.28,48.29,14.03,19.07,22.83,18.61,45.46,36.80,15.29,13.66,14.40 "ASKAP - Test: tConvolve OpenMP - Degridding (Million Grid Points/sec)",HIB,7148.77,5726.60,5509.3,2616.81,6302.57,3257.04,6699.07,5788.17,1406.93,5788.17,3317.93,4004.08,6455.40,6615.81,6679.71 "OpenFOAM - Input: Motorbike 30M (sec)",LIB,23.35,33.81,40.87,113.16,25.17,67.23,22.83,30.62,39.89,29.62,56.57,60.50,26.53,23.43,22.36 "TensorFlow Lite - Model: Mobilenet Quant (us)",LIB,36468.8,62904.1,82490.4,165426,50401.8,120119,33024.0,47911.7,70154.5,45118.1,86277.6,136023,49078.5,45818.8,33434.6 "TensorFlow Lite - Model: Mobilenet Float (us)",LIB,35037.4,61419.9,80320.5,160713,48507.4,117060,32085.5,47083.4,68637.6,43977.9,84723.5,133236,48084.7,45436.6,32117.9 "TensorFlow Lite - Model: Inception V4 (us)",LIB,764269,1366410,1742890,3472940,978828,2493747,700833,1006347,1499183,943229,1820153,2872227,1034367,938691,723699 "GROMACS - Water Benchmark (Ns/Day)",HIB,4.373,2.741,2.014,0.985,3.863,1.409,4.541,3.128,1.995,3.323,1.677,1.345,3.267,4.117,4.838 "TensorFlow Lite - Model: Inception ResNet V2 (us)",LIB,702607,1206790,1567070,3136920,893517,2242950,655279,897884,1346153,840604,1639167,2592970,921865,830730,643150 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.49446,2.38306,3.34663,6.79445,1.55494,4.52758,1.43124,1.94845,3.02897,1.89624,3.45290,5.58260,1.98809,1.53915,1.39660 "LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day)",HIB,24.818,14.907,10.602,5.406,22.046,7.737,25.206,17.614,11.757,18.156,9.889,6.705,17.525,22.442,26.281 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.88842,5.92204,6.03497,8.67154,1.99707,5.25331,1.79874,2.15194,5.49605,2.06983,6.06333,7.23763,2.20543,1.93042,1.79065 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.800643,1.29599,1.84178,3.58363,0.868024,2.49372,0.780803,1.07399,1.56503,1.01582,1.91305,3.01292,1.10486,0.863146,0.750519 "Intel Open Image Denoise - Scene: Memorial (Images / Sec)",HIB,27.67,17.17,12.18,6.55,26.13,9.03,29.41,20.25,14.24,21.55,11.34,7.94,20.14,26.68,30.25 "Tungsten Renderer - Scene: Hair (sec)",LIB,7.50706,12.2623,16.6175,32.5388,8.71953,21.9958,7.55093,10.5740,14.1327,9.92849,17.6542,26.5161,10.8131,8.56828,7.09297 "ebizzy - (Records/s)",HIB,2701767,1721854,1208466,623272,2456511,883965,2762647,1947836,1475280,2136850,1021990,776880,1977325,2719388,2853783 "Apache Cassandra - Test: Writes (Op/s)",HIB,227564,200705,135260,51734,230871,93155,219380,233730,144123,236524,136442,58118,211361,215576,215196 "ASKAP - Test: tConvolve OpenMP - Gridding (Million Grid Points/sec)",HIB,9509.14,6379.88,5503.59,2840.13,8454.7,4004.08,9509.14,6617.90,2113.14,6658.48,4294.45,4035.11,8257.47,9427.17,9177.92 "TensorFlow Lite - Model: SqueezeNet (us)",LIB,61679.6,93404.1,123947,242480,68430.4,173807,56195.5,75080.0,107391,70622.9,129293,201258,77264.7,65104.4,57509.9 "Appleseed - Scene: Disney Material (sec)",LIB,67.737549,105.691972,149.335719,265.544082,73.333871,195.081624,67.326346,87.511447,118.477859,81.825177,151.859379,225.08796,89.011444,70.485389,61.677719 "Stress-NG - Test: Socket Activity (Bogo Ops/s)",HIB,19577.03,13570.83,9499.33,4965.96,18192.32,7332.82,19990.75,16396.57,8415.19,17266.21,9134.72,5638.53,15568.24,18451.91,20955.93 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,0.587443,0.592308,0.802272,2.01838,0.533961,1.09344,0.517023,0.537636,0.660419,0.500521,0.875749,1.16017,0.553444,0.484219,0.536916 "NWChem - Input: C240 Buckyball (sec)",LIB,2247,4709.5,6676.4,,2716.7,8844.1,2220.7,3678.8,5684.6,3653.9,7056,,3653.6,2648.5,2123.1 "LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,19.997,14.038,10.374,5.237,18.506,7.582,21.763,15.685,11.521,16.564,9.685,6.470,16.265,19.328,21.320 "Basis Universal - Settings: UASTC Level 3 (sec)",LIB,18.869,29.160,39.754,73.432,20.796,51.771,18.656,25.284,33.801,23.968,41.240,60.403,25.884,20.687,17.978 "Zstd Compression - Compression Level: 19 (MB/s)",HIB,147.5,96.9,73.8,37.3,125.7,55.2,149.6,114.3,76.1,114.4,66.4,47.0,122.7,130.1,148.8 "LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,2686,1439,1233,681,1927,925,2408,1539,1699,1617,1051,1104,1769,2311,2656 "SVT-AV1 - Encoder Mode: Enc Mode 8 - Input: 1080p (FPS)",HIB,79.824,54.873,37.044,21.761,62.395,30.377,83.399,57.315,42.839,59.939,35.383,26.131,56.528,63.205,85.002 "Timed Linux Kernel Compilation - Time To Compile (sec)",LIB,28.130,41.497,53.399,101.090,30.206,69.612,27.977,36.388,46.914,34.554,57.908,79.664,36.845,30.075,26.722 "Timed MPlayer Compilation - Time To Compile (sec)",LIB,12.990,18.588,24.058,45.586,13.820,31.143,12.956,16.462,20.571,15.694,26.265,35.245,16.383,13.712,12.334 "GROMACS - Input: water_GMX50_bare (Ns/Day)",HIB,4.371,,,,,1.407,4.533,3.140,2.313,3.317,1.675,1.348,3.256,4.106,4.872 "LeelaChessZero - Backend: BLAS (Nodes/s)",HIB,2699,1521,1253,747,1969,946,2376,1559,1758,1666,1042,1052,1735,2203,2623 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2296.53,1674.66,2410.23,4347.66,1352.62,3057.08,2230.18,2743.71,2013.24,2721.87,2834.09,3345.67,2230.35,1210.04,2263.32 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2314.36,1673.31,2407.93,4348.88,1350.13,3059.19,2203.16,2740.52,1997.39,2716.54,2835.35,3348.06,2221.37,1211.54,2251.63 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,2306.33,1672.24,2412.79,4345.12,1350.55,3056.05,2221.33,2738.42,2013.75,2718.68,2836.68,3345.10,2214.79,1213.58,2283.91 "Facebook RocksDB - Test: Random Fill Sync (Op/s)",HIB,287115,216427,163248,94371,331300,131583,333412,259353,172585,258759,163535,100843,253689,331791,331439 "FFTE - N=256, 3D Complex FFT Routine (MFLOPS)",HIB,145868.29464850,111563.84400114,84316.231061377,44242.982832815,135838.12056163,61838.515841605,155375.98411128,136276.49933193,71767.960407434,144583.87206332,76796.044919912,54800.992354179,135786.93765414,149967.73952863,148358.57295079 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,14.94,11.22,9.15,4.72,15.50,6.49,16.44,13.97,10.66,14.94,8.61,5.73,13.65,15.94,16.50 "GPAW - Input: Carbon Nanotube (sec)",LIB,81.060,116.409,139.152,271.157,86.739,205.891,78.393,105.666,165.407,103.296,177.905,200.413,93.236,79.977,78.005 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,2.82015,3.34633,4.72608,8.27184,2.55335,6.29135,2.52363,3.68833,3.92737,3.44118,5.08328,6.46398,3.60130,2.40380,2.60764 "PlaidML - FP16: No - Mode: Inference - Network: VGG19 - Device: CPU (FPS)",HIB,26.49,23.34,17.39,9.30,27.50,13.67,31.84,26.51,20.00,27.67,16.61,12.06,25.35,29.37,29.49 "Timed LLVM Compilation - Time To Compile (sec)",LIB,234.205,312.698,404.326,763.556,245.397,529.616,233.513,289.359,343.386,275.350,439.996,581.298,280.778,243.915,224.898 "Appleseed - Scene: Emily (sec)",LIB,154.436733,194.525247,260.983099,487.372372,154.731284,333.246095,153.460392,170.484345,226.803596,161.635101,275.805876,381.370711,172.914563,153.975645,146.842773 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 100 - Mode: Read Write (TPS)",HIB,55699,47662,38458,21334,56945,31896,60949,51794,37152,52325,38586,24137,47615,58889,70690 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency (ms)",LIB,1.798,2.101,2.606,4.690,1.759,3.137,1.643,1.935,2.697,1.915,2.596,4.145,2.103,1.701,1.417 "Rodinia - Test: OpenMP CFD Solver (sec)",LIB,7.819,11.577,15.445,25.374,8.405,18.134,7.747,9.892,13.530,9.806,14.792,22.218,9.858,8.434,7.683 "PlaidML - FP16: No - Mode: Inference - Network: VGG16 - Device: CPU (FPS)",HIB,31.89,27.81,21.24,11.41,32.68,16.79,37.38,32.05,24.29,33.33,20.34,14.67,30.36,35.25,34.99 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,874.440,972.927,1229.69,2397.56,787.426,2022.45,793.199,902.259,997.853,890.477,1882.64,1745.54,813.120,732.808,810.996 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,878.199,974.124,1227.56,2397.22,784.815,2032.88,793.228,919.607,998.668,886.876,1886.30,1742.79,812.987,734.403,808.616 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,875.708,972.772,1228.50,2398.98,782.652,2029.28,792.546,917.614,999.142,888.535,1884.70,1744.75,814.027,735.819,810.183 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,1.70360,1.82951,2.41082,4.73866,1.59938,3.80955,1.48981,1.59300,1.98035,1.47222,3.44668,3.56020,1.61502,1.46775,1.51528 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 250 - Mode: Read Write (TPS)",HIB,52181,41273,30313,17709,51444,25170,54318,45671,28193,46655,32115,20541,44343,50381,57102 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency (ms)",LIB,4.804,6.067,8.258,14.123,4.872,9.939,4.617,5.481,8.876,5.369,7.791,12.176,5.648,4.972,4.403 "Rodinia - Test: OpenMP Leukocyte (sec)",LIB,48.716,59.652,98.186,148.199,47.425,107.967,47.369,57.979,90.523,57.683,99.719,130.975,59.438,46.532,47.173 "SVT-VP9 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p (FPS)",HIB,409.36,413.09,316.49,144.32,445.92,239.47,448.08,437.88,263.13,459.14,295.80,167.08,426.52,458.24,437.25 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3.55892,4.25111,5.45400,10.9582,3.84018,7.60505,3.50412,3.97043,6.91561,3.97699,6.76242,9.15124,3.61268,3.54316,3.53116 "NAS Parallel Benchmarks - Test / Class: LU.C (Mop/s)",HIB,102548.95,74421.61,61041.27,33816.48,95079.41,43321.38,103985.91,78846.96,44891.69,79644.88,49617.92,43172.51,86547.28,99557.23,105428.67 "Basis Universal - Settings: UASTC Level 2 (sec)",LIB,13.297,18.167,23.342,39.666,14.236,29.244,13.206,16.310,19.861,15.638,24.239,32.633,16.698,14.188,12.835 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,2.33519,2.48977,3.28377,6.12261,2.15794,4.44077,2.02231,2.19727,2.75743,2.04866,3.50175,5.03236,2.22242,1.98726,2.06884 "dav1d - Video Input: Summer Nature 4K (FPS)",HIB,437.31,328.54,245.60,150.43,406.93,203.40,457.27,361.72,244.17,367.19,239.84,168.17,349.99,416.96,454.41 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,36.07,26.61,22.94,12.98,35.81,17.83,39.15,33.25,26.31,35.06,21.70,15.56,32.72,37.39,38.65 "Timed FFmpeg Compilation - Time To Compile (sec)",LIB,24.034,32.065,39.737,68.502,25.499,49.919,23.978,29.124,33.981,27.856,42.861,54.149,29.228,25.213,23.025 "YafaRay - Total Time For Sample Scene (sec)",LIB,67.252,80.496,110.939,186.180,64.882,131.027,66.482,70.704,127.446,64.923,102.528,172.353,85.561,67.658,63.270 "miniFE - Problem Size: Small (CG Mflops)",HIB,19155.4,16743.6,17082.4,10156.6,18424.1,10066.6,19256.7,16649.5,6787.06,16649.7,10003.6,17351.2,19645.4,19436.3,19245.9 "Timed Godot Game Engine Compilation - Time To Compile (sec)",LIB,62.557,76.162,96.772,172.131,62.484,122.410,62.272,69.419,84.206,66.567,103.741,136.623,69.624,61.814,60.372 "dav1d - Video Input: Summer Nature 1080p (FPS)",HIB,1050.99,847.40,634.51,419.19,1044.25,555.11,1193.66,932.75,651.36,937.44,644.23,453.36,880.57,1070.09,1166.42 "x265 - Video Input: Bosphorus 4K (FPS)",HIB,25.04,23.84,20.44,9.20,25.36,17.09,25.65,25.13,20.00,25.21,20.03,10.20,23.71,25.23,25.57 "SVT-AV1 - Encoder Mode: Enc Mode 4 - Input: 1080p (FPS)",HIB,6.752,5.563,4.506,2.536,6.494,3.593,6.966,5.866,5.333,6.091,4.225,3.184,5.958,6.678,6.985 "x264 - H.264 Video Encoding (FPS)",HIB,198.58,174.63,150.45,78.21,198.00,117.14,210.69,182.42,173.50,188.45,142.37,95.50,181.15,203.74,211.39 "TensorFlow Lite - Model: NASNet Mobile (us)",LIB,95873.7,105046,144445,212253,92153.2,177540,88093.7,85462.8,126743,79313.6,151235,177928,84263.5,86140.6,91245.8 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,53.52,48.33,41.52,23.11,55.99,31.39,58.64,54.92,47.17,56.98,39.65,27.16,54.07,59.59,57.40 "NAS Parallel Benchmarks - Test / Class: FT.C (Mop/s)",HIB,55136.50,,37175.20,21822.06,,,55668.63,46206.33,22117.17,47098.22,29526.97,27284.69,49235.92,,56055.87 "Sysbench - Test: Memory (Events/sec)",HIB,6302136.6537,5614019.4917,4502591.4482,5942474.3728,6380400.3508,7232205.2955,6374595.1209,6612746.4962,3087955.6273,6618850.2395,7880986.5858,4656182.2577,4720934.2558,5536026.0706,6334165.6344 "High Performance Conjugate Gradient - (GFLOP/s)",HIB,17.3075,15.5629,15.6329,8.64661,16.6494,9.09743,17.3863,15.2920,7.08925,15.2794,9.05154,12.9560,17.9677,17.6850,17.3763 "OpenFOAM - Input: Motorbike 60M (sec)",LIB,233.34,314.06,313.64,573.04,260.78,530.10,232.98,320.20,454.84,319.87,520.45,362.74,236.99,233.73,232.40 "dav1d - Video Input: Chimera 1080p (FPS)",HIB,983.61,839.06,698.08,473.82,1095.40,624.79,1158.08,937.73,671.07,939.90,712.26,496.11,892.42,1116.83,1113.87 "NAS Parallel Benchmarks - Test / Class: MG.C (Mop/s)",HIB,51795.61,,47349.29,30311.94,,,52245.23,44082.95,21714.65,44205.80,29776.81,45336.89,52022.76,,51593.62 "Incompact3D - Input: Cylinder (sec)",LIB,224.616374,200.210118,262.633291,450.845693,206.583562,325.844127,206.952866,189.659383,230.942063,187.604813,270.723175,375.703674,193.923879,195.343160,213.086293 "NAS Parallel Benchmarks - Test / Class: CG.C (Mop/s)",HIB,15079.08,,15688.57,9844.95,,,15230.23,14759.40,7779.49,14977.29,9697.83,12350.87,18019.01,,15249.72 "Timed ImageMagick Compilation - Time To Compile (sec)",LIB,17.115,20.430,23.546,37.716,18.063,28.218,17.187,19.405,21.632,18.935,25.459,28.597,19.266,17.672,16.757 "Rodinia - Test: OpenMP Streamcluster (sec)",LIB,8.928,14.761,17.729,15.540,12.027,16.895,8.905,14.320,15.049,14.316,18.189,19.707,9.913,9.185,8.791 "Build2 - Time To Compile (sec)",LIB,67.966,76.650,87.657,145.443,69.859,105.707,68.291,74.196,75.853,71.464,94.345,113.260,74.481,69.433,66.253 "OpenVINO - Model: Face Detection 0106 FP16 - Device: CPU (ms)",LIB,4029.98,2507.58,2414.74,2298.63,3325.99,2434.17,3562.63,2794.25,1976.70,2579.79,2527.86,1836.51,2815.80,3059.05,3589.69 "LULESH - (z/s)",HIB,14612.208,8024.3706,7954.1518,6757.9893,13435.303,6871.9303,14603.333,12840.642,6839.1706,13099.615,6954.7964,8720.8822,13938.252,14015.660,14778.635 "OpenVINO - Model: Face Detection 0106 FP32 - Device: CPU (ms)",LIB,4030.53,2522.61,2413.45,2314.66,3327.50,2406.22,3558.09,2791.54,1980.56,2572.36,2446.02,1844.31,2814.15,3069.38,3584.77 "OpenVINO - Model: Person Detection 0106 FP16 - Device: CPU (ms)",LIB,5170.99,3310.91,3145.89,3071.91,4197.60,3264.49,4731.72,3578.09,2643.39,3276.52,3344.39,2399.19,3757.35,4132.13,4536.00 "NAS Parallel Benchmarks - Test / Class: IS.D (Mop/s)",HIB,1971.50,,1647.78,1083.36,,,2006.81,1884.31,934.00,1885.98,1422.07,1277.15,1992.76,,2007.42 "OpenVINO - Model: Person Detection 0106 FP32 - Device: CPU (ms)",LIB,5153.99,3315.63,3155.85,3090.58,4203.81,3265.93,4732.73,3582.56,2649.35,3271.26,3342.13,2409.03,3754.85,4138.69,4525.32 "Parboil - Test: OpenMP LBM (sec)",LIB,23.322929,29.020656,24.924913,45.762531,26.474040,42.947500,23.819394,27.598317,35.422343,27.639163,46.073278,27.245155,22.944527,21.939827,23.333266 "WebP2 Image Encode - Encode Settings: Quality 75, Compression Effort 7 (sec)",LIB,139.362,138.044,164.805,277.672,140.180,199.541,139.558,137.442,140.611,135.973,173.717,227.130,142.200,138.077,138.090 "Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,3.187,3.213,3.856,3.917,3.022,5.322,3.073,2.927,5.778,2.836,4.081,3.625,3.003,3.056,3.127 "WebP2 Image Encode - Encode Settings: Quality 95, Compression Effort 7 (sec)",LIB,257.005,254.240,301.520,507.741,258.367,361.481,256.563,253.096,254.764,250.407,309.984,416.273,260.463,254.877,254.503 "Algebraic Multi-Grid Benchmark - (Figure Of Merit)",HIB,878375333,778459433,788266875,449916460,856893400,457855350,883735200,774304800,643180925,774329467,455760633,809844583,909532667,892248833,880998567 "dav1d - Video Input: Chimera 1080p 10-bit (FPS)",HIB,185.31,135.69,116.68,94.36,178.70,107.25,190.19,152.15,129.77,152.78,114.49,109.55,146.29,179.72,190.04 "ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,15.614812,7.208235,4.963715,1.583704,12.735031,3.464003,16.881168,9.326909,4.897653,8.863336,4.452419,3.011595,9.828871,13.942465,16.298852 "WebP2 Image Encode - Encode Settings: Quality 100, Compression Effort 5 (sec)",LIB,8.125,7.974,9.354,15.547,8.162,11.131,8.052,7.972,7.973,7.949,9.654,12.788,8.055,8.074,8.061 "AI Benchmark Alpha - Device Inference Score (Score)",HIB,1965,1926,1660,1112,2049,1372,2122,2022,1456,2107,1538,1301,2043,2125,2069 "Numenta Anomaly Benchmark - Detector: Earthgecko Skyline (sec)",LIB,84.833,85.758,88.323,141.245,86.062,101.587,84.794,85.729,75.225,83.830,96.849,98.522,86.698,85.032,83.396 "OCRMyPDF - Processing 60 Page PDF Document (sec)",LIB,18.732,20.874,23.392,33.015,18.855,26.898,18.793,19.378,19.856,18.655,24.233,27.202,19.942,19.090,18.142 "Stream-Dynamic - - Triad (MB/s)",HIB,,,,,,,,,,90450.722,57372.729,,104119.156,103873.438,104095.678 "Stream-Dynamic - - Add (MB/s)",HIB,,,,,,,,,,90238.634,57323.380,,103789.985,103556.132,103818.186 "Numenta Anomaly Benchmark - Detector: Windowed Gaussian (sec)",LIB,6.930,7.121,7.645,11.912,7.033,8.798,6.971,6.989,6.586,6.900,8.105,9.790,7.220,7.063,6.824 "ctx_clock - Context Switch Time (Clocks)",LIB,120,168,180,217,132,203,120,150,175,174,196,185,144,138,135 "Timed PHP Compilation - Time To Compile (sec)",LIB,42.561,47.413,52.749,75.329,43.841,60.203,43.060,45.440,46.540,44.548,55.222,59.564,46.098,43.817,41.872 "Stream - Type: Copy (MB/s)",HIB,90511.8,79677.2,80140.1,52390.0,88717.2,51714.4,90296.5,79342.9,66901.1,79674.1,51093.1,82399.7,90663.2,91703.2,90141.7 "Stream - Type: Triad (MB/s)",HIB,98034.8,87308.4,88105.7,56788.6,96497.1,56066.6,98343.2,87239.8,72315.6,87057.0,55596.3,89567.2,99248.2,97940.0,98248.0 "Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,5.067,5.270,5.772,4.944,4.852,5.930,4.920,4.820,8.171,4.713,5.855,4.578,4.821,4.825,4.919 "Ngspice - Circuit: C7552 (sec)",LIB,132.616,,,212.894,131.530,137.585,136.866,128.923,122.440,130.086,135.679,119.444,132.041,160.820,132.938 "Stream - Type: Add (MB/s)",HIB,97206.3,86805.6,87568.8,56795.1,95807.0,55911.6,97180.9,86677.2,72752.2,86737.7,55437.2,89255.4,97912.5,97944.2,97124.3 "Stream-Dynamic - - Copy (MB/s)",HIB,,,,,,,,,,82081.428,53581.265,,94075.670,93594.607,93965.375 "Stream - Type: Scale (MB/s)",HIB,87714.6,79147.3,79703.5,52630.1,86805.6,51978.2,87848.1,78638.6,67011.9,78399.9,51044.2,81753.0,89487.6,87579.9,87905.6 "Stream-Dynamic - - Scale (MB/s)",HIB,,,,,,,,,,81529.057,53610.351,,92368.408,92049.483,92337.605 "Zstd Compression - Compression Level: 3 (MB/s)",HIB,8248.3,8033.0,7699.4,5123.2,8172.0,6498.4,8287.7,7903.6,7899.7,7885.0,6706.2,6573.9,8476.3,8499.2,8270.4 "AI Benchmark Alpha - Device AI Score (Score)",HIB,3089,3472,3119,2206,3397,2679,3341,3510,2615,3641,2922,2474,3518,3528,3248 "Numenta Anomaly Benchmark - Detector: Relative Entropy (sec)",LIB,15.944,16.124,17.183,23.563,15.972,19.105,15.968,15.847,14.596,15.723,18.103,18.881,16.332,15.887,15.572 "XZ Compression - Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9 (sec)",LIB,22.047,22.399,23.153,34.509,22.540,25.656,22.047,22.420,21.434,22.300,24.901,29.607,22.092,22.006,21.979 "Timed MrBayes Analysis - Primate Phylogeny Analysis (sec)",LIB,115.265,85.996,85.932,88.666,104.518,87.600,116.146,94.262,72.429,86.722,89.204,72.891,96.813,102.450,108.224 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU (ms)",LIB,1.22,0.88,0.84,0.96,0.99,0.87,1.07,0.84,0.79,0.77,0.79,0.78,0.95,1.02,1.08 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,1.21,0.92,0.84,0.98,0.99,0.89,1.06,0.84,0.81,0.77,0.78,0.79,0.95,1.02,1.07 "Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,26.924,29.022,31.543,31.435,25.443,38.102,25.221,25.058,33.499,24.303,33.587,27.445,25.266,24.782,25.455 "Tungsten Renderer - Scene: Water Caustic (sec)",LIB,21.9683,23.8709,26.0201,33.9164,22.6471,29.9545,22.1322,23.1126,24.4188,22.6351,26.7895,28.1000,23.5534,22.5541,21.6429 "Numenta Anomaly Benchmark - Detector: Bayesian Changepoint (sec)",LIB,33.268,34.311,34.843,45.212,33.955,38.065,33.406,32.645,29.448,32.872,36.349,35.669,33.433,33.604,32.622 "JPEG XL Decoding - CPU Threads: All (MP/s)",HIB,,,,,,,,,207.63,188.06,197.76,183.95,171.73,136.31,145.07 "ONNX Runtime - Model: shufflenet-v2-10 - Device: OpenMP CPU (Inferences/min)",HIB,6478,8810,8975,8836,7373,8721,6686,8421,9348,8698,8611,9823,8070,7221,6527 "BlogBench - Test: Read (Final Score)",HIB,1372955,1959615,1898428,1944496,1771624,2023180,1397475,1950080,1676516,1923368,2043037,1772037,1636092,1583350,1373157 "Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: Points2Image (Test Cases/min)",HIB,19062.924024905,21653.910013671,22339.846701689,23230.185825773,20634.199886873,23807.667654842,19914.997832858,21272.043964002,24205.543227411,21441.995981177,22574.803739975,27135.632586234,20967.479297208,20036.194382600,18909.101207343 "Quantum ESPRESSO - Input: AUSURF112 (sec)",LIB,1208.31,1342.14,1403.52,1656.88,1329.90,1520.43,1216.50,1386.78,1357.30,1317.27,1456.82,1356.26,1403.87,1372.73,1168.32 "AI Benchmark Alpha - Device Training Score (Score)",HIB,1124,1546,1459,1094,1348,1307,1219,1488,1159,1534,1384,1173,1475,1403,1179 "Caffe - Model: AlexNet - Acceleration: CPU - Iterations: 200 (ms)",LIB,128965,154693,152539,151559,171885,154871,127699,168728,151327,162544,155763,140558,172508,173812,123771 "Monte Carlo Simulations of Ionised Nebulae - Input: Dust 2D tau100.0 (sec)",LIB,242,217,228,276,223,250,239,214,197,215,239,221,215,219,228 "Ngspice - Circuit: C2670 (sec)",LIB,177.616,,,211.493,170.216,174.200,172.371,173.895,151.460,165.663,183.218,158.791,175.847,176.530,171.838 "Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,8.375,8.978,9.504,9.650,8.142,9.768,7.542,7.493,10.209,7.625,9.610,9.357,7.338,7.479,7.684 "RawTherapee - Total Benchmark Time (sec)",LIB,56.030,53.929,58.506,72.473,54.492,62.758,55.042,52.744,53.149,52.125,61.539,62.236,54.773,54.480,55.612 "ONNX Runtime - Model: fcn-resnet101-11 - Device: OpenMP CPU (Inferences/min)",HIB,74,72,69,59,79,70,79,64,69,69,77,59,79,80,76 "C-Blosc - Compressor: blosclz (MB/s)",HIB,8372.7,10178.3,10476.8,9386.8,9155.0,9442.9,8328.2,9808.0,10910.1,9878.0,9400.7,11206.8,10253.3,9301.0,8355.9 "ONNX Runtime - Model: bertsquad-10 - Device: OpenMP CPU (Inferences/min)",HIB,390,500,456,409,440,403,395,459,372,475,400,480,466,431,379 "Caffe - Model: GoogleNet - Acceleration: CPU - Iterations: 200 (ms)",LIB,347484,391015,387173,369027,399610,378367,345626,427967,382020,411681,388699,340168,441978,429875,332628 "ONNX Runtime - Model: super-resolution-10 - Device: OpenMP CPU (Inferences/min)",HIB,4087,4946,4522,3941,4642,3943,4175,4755,5212,4986,4044,4518,4864,4506,4229 "InfluxDB - Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,1308517.2,1290897.8,1249264.6,1113861.3,1288738.6,1185857.8,1294664.5,1303437.6,1438050.4,1206497.8,1211354.3,1279851.8,1281490.5,1295588.8,1294605.5 "Numpy Benchmark - (Score)",HIB,306.50,307.47,301.28,270.83,303.45,298.27,303.21,309.10,348.66,311.97,296.96,345.36,303.33,303.75,308.39 "Apache CouchDB - Bulk Size: 100 - Inserts: 1000 - Rounds: 24 (sec)",LIB,97.954,86.682,89.433,107.009,92.589,92.348,97.295,86.233,83.279,86.572,87.936,93.792,91.315,91.512,97.234 "JPEG XL - Input: PNG - Encode Speed: 5 (MP/s)",HIB,,,,,,,,79.59,73.83,80.05,67.29,63.51,76.18,77.71,77.34 "PyPerformance - Benchmark: float (Milliseconds)",LIB,133,133,135,143,134,138,134,132,114,135,139,115,134,135,130 "Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: NDT Mapping (Test Cases/min)",HIB,861.35,899.45,898.21,861.07,895.52,864.62,897.59,898.84,773.86,908.46,858.54,967.37,895.33,903.30,902.38 "simdjson - Throughput Test: PartialTweets (GB/s)",HIB,0.52,0.53,0.52,0.50,0.52,0.50,0.52,0.52,0.61,0.53,0.50,0.62,0.51,0.52,0.53 "PyPerformance - Benchmark: pathlib (Milliseconds)",LIB,20.2,20.2,20.4,21.1,20.5,21.0,20.5,19.9,17.5,19.9,21.3,17.2,20.4,20.5,19.9 "Crafty - Elapsed Time (Nodes/s)",HIB,6899948,6880760,6787692,6414609,6674881,6551351,6753902,6804305,7940047,6983945,6547690,7939883,6545211,6652696,6936092 "simdjson - Throughput Test: DistinctUserID (GB/s)",HIB,0.54,0.53,0.53,0.52,0.52,0.51,0.53,0.53,0.62,0.54,0.51,0.63,0.52,0.52,0.54 "LZ4 Compression - Compression Level: 9 - Compression Speed (MB/s)",HIB,44.54,45.09,43.98,43.17,44.49,42.94,44.80,44.68,52.02,45.13,42.25,51.95,43.69,43.86,45.03 "PyPerformance - Benchmark: crypto_pyaes (Milliseconds)",LIB,129,131,130,135,133,134,133,128,110,129,135,111,131,134,127 "simdjson - Throughput Test: LargeRandom (GB/s)",HIB,0.33,0.33,0.33,0.31,0.32,0.32,0.32,0.33,0.38,0.33,0.32,0.38,0.32,0.32,0.33 "Crypto++ - Test: Integer + Elliptic Curve Public Key Algorithms (MiB/s)",HIB,4152.597533,4151.291597,4086.075796,3949.436267,4085.527893,3965.033596,4091.783978,4139.984967,4834.046071,4207.910343,3948.998738,4835.015067,4089.119651,4072.759880,4199.912554 "PyPerformance - Benchmark: nbody (Milliseconds)",LIB,135,135,137,141,137,141,137,135,116,133,142,116,137,138,133 "PyBench - Total For Average Test Times (Milliseconds)",LIB,1166,1159,1172,1213,1178,1208,1184,1173,999,1137,1221,998,1180,1184,1166 "Crypto++ - Test: Keyed Algorithms (MiB/s)",HIB,539.454890,538.085673,530.362593,513.653997,530.795528,514.845743,529.619444,539.174870,628.207929,546.717564,513.598865,627.435908,531.138320,529.604123,546.248682 "FinanceBench - Benchmark: Repo OpenMP (ms)",LIB,51015.865885,50474.697917,51629.102865,53237.682291,51630.503906,52936.979167,51437.791667,50609.036458,43527.278646,50076.274740,52977.602865,43548.631510,51428.891927,51397.360677,49870.815104 "Botan - Test: Blowfish (MiB/s)",HIB,368.930,368.377,362.204,352.291,363.503,352.072,362.990,368.692,429.140,374.521,351.140,429.405,363.098,361.797,374.198 "Hierarchical INTegration - Test: FLOAT (QUIPs)",HIB,297478250.42946,297827555.09073,292597759.78158,284332324.15296,293216264.80405,284710986.65814,293169027.14643,297816529.27817,346505619.64441,302406827.18194,283588722.34226,346733990.00480,293437386.10939,292412973.62287,302249577.83011 "Botan - Test: Twofish (MiB/s)",HIB,302.135,302.120,297.647,288.698,297.102,288.622,297.808,302.254,351.633,306.615,287.932,351.989,297.705,296.907,306.484 "Google SynthMark - Test: VoiceMark_100 (Voices)",HIB,635.922,636.429,627.743,608.605,626.566,608.050,624.726,637.378,739.722,645.869,605.825,740.578,627.059,623.842,643.817 "PyPerformance - Benchmark: django_template (Milliseconds)",LIB,57.5,57.2,57.6,59.5,58.1,60.0,58.6,56.9,50.4,56.7,59.1,49.1,58.3,58.4,56.8 "FinanceBench - Benchmark: Bonds OpenMP (ms)",LIB,88553.783854,88634.309896,89863.260417,92426.494792,90310.903646,92387.252604,90672.447917,88487.567708,76410.106771,86946.614583,92896.617188,76027.976562,90157.281250,90409.585938,87489.375000 "LZ4 Compression - Compression Level: 3 - Compression Speed (MB/s)",HIB,45.69,45.98,44.53,44.93,45.38,43.23,45.19,45.77,52.82,45.90,44.38,52.79,44.69,44.84,46.20 "Swet - Average (Operations/sec)",HIB,602434885,600065572,598589228,561816772,605644364,581194588,602203842,597361197,685188810,612218425,571825580,686395419,582684333,592049225,606567122 "Botan - Test: CAST-256 (MiB/s)",HIB,119.995,119.993,117.877,114.588,118.324,114.688,118.225,120.060,139.705,121.923,114.474,139.833,118.290,117.987,121.705 "Botan - Test: KASUMI (MiB/s)",HIB,77.699,77.570,76.510,74.265,76.575,74.207,76.545,77.688,90.417,78.881,74.059,90.459,76.528,76.217,78.861 "eSpeak-NG Speech Engine - Text-To-Speech Synthesis (sec)",LIB,35.927,35.694,36.356,37.396,36.397,37.400,36.197,35.734,30.753,35.265,37.552,30.839,36.243,36.277,35.303 "Perl Benchmarks - Test: Pod2html (sec)",LIB,0.14954339,0.14573597,0.14978489,0.15653208,0.15124976,0.15457890,0.14976795,0.14859273,0.12924285,0.14850812,0.15341705,0.12819545,0.14988293,0.14868253,0.14554143 "Botan - Test: AES-256 (MiB/s)",HIB,4499.500,4487.898,4430.718,4311.057,4421.410,4290.852,4429.185,4497.765,5226.754,4561.185,4293.869,5238.762,4429.474,4425.915,4549.533 "Etcpak - Configuration: ETC2 (Mpx/s)",HIB,137.284,137.089,135.180,131.182,135.139,131.145,135.235,137.344,159.603,139.252,130.881,159.787,135.006,135.255,138.894 "TSCP - AI Chess Performance (Nodes/s)",HIB,1015858,1013320,997133,969371,997461,969066,997809,1014342,1178140,1030295,968149,1180682,999442,996805,1028054 "QuantLib - (MFLOPS)",HIB,1970.1,1977.3,1952.5,1892.0,1945.3,1893.2,1955.3,1984.5,2300.7,2016.4,1887.0,2285.2,1922.3,1944.5,2004.4 "Perl Benchmarks - Test: Interpreter (sec)",LIB,0.00097084,0.00095586,0.00095478,0.00100608,0.00096153,0.00098074,0.00097455,0.00096082,0.00082570,0.00095485,0.00099210,0.00083563,0.00096753,0.00096579,0.00096116 "Montage Astronomical Image Mosaic Engine - Mosaic of M17, K band, 1.5 deg x 1.5 deg (sec)",LIB,94.763,93.923,95.448,98.414,95.531,98.305,95.560,93.855,80.939,92.770,98.238,80.848,95.479,95.387,93.170 "Himeno Benchmark - Poisson Pressure Solver (MFLOPS)",HIB,3762.488930,3765.848387,3792.808321,3589.933591,3793.166466,3634.174299,3837.559318,3853.502233,4367.118566,3988.942646,3756.959809,4336.405573,3830.202651,3816.078707,3937.229977 "PyPerformance - Benchmark: regex_compile (Milliseconds)",LIB,198,200,202,208,202,208,202,197,174,198,208,171,202,203,195 "PHPBench - PHP Benchmark Suite (Score)",HIB,529609,542521,524189,511906,523575,513356,524751,531740,614039,539060,511228,621672,532957,521572,540797 "Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: Euclidean Cluster (Test Cases/min)",HIB,954.20,962.88,943.29,876.45,956.82,919.01,966.04,974.40,1062.32,983.45,928.43,1039.60,949.15,963.00,969.31 "InfluxDB - Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,1212918.2,1248284.1,1188387.2,1041996.8,1208480.8,1143360.5,1209698.0,1262530.4,1247037.6,1162690.9,1172021.1,1155871.8,1197778.9,1215056.1,1217027.7 "Etcpak - Configuration: DXT1 (Mpx/s)",HIB,1019.205,1018.971,1007.950,976.586,1008.239,978.850,1007.223,1022.480,1179.017,1035.225,975.215,1179.304,1006.923,1008.514,1035.372 "Crypto++ - Test: Unkeyed Algorithms (MiB/s)",HIB,298.729251,298.490604,294.437128,286.188934,293.881157,286.181820,293.809730,298.708441,342.931821,302.927115,285.253686,343.606808,294.273715,292.598520,301.538602 "simdjson - Throughput Test: Kostya (GB/s)",HIB,0.46,0.46,0.45,0.44,0.45,0.44,0.45,0.46,0.53,0.46,0.44,0.53,0.45,0.45,0.46 "JPEG XL - Input: PNG - Encode Speed: 8 (MP/s)",HIB,,,,,,,,0.69,0.79,0.71,0.66,0.79,0.69,0.69,0.70 "JPEG XL - Input: JPEG - Encode Speed: 8 (MP/s)",HIB,,,,,,,,25.03,27.59,25.23,23.05,27.44,24.06,23.96,24.47 "JPEG XL Decoding - CPU Threads: 1 (MP/s)",HIB,,,,,,,,,37.94,34.22,32.16,38.42,32.69,32.76,33.15 "LibRaw - Post-Processing Benchmark (Mpix/sec)",HIB,34.50,34.03,33.71,32.48,33.64,33.12,34.01,34.11,38.01,34.38,33.08,38.59,33.06,32.31,34.73 "Redis - Test: GET (Reqs/sec)",HIB,1482738.92,1466557.03,1438157.73,1421564.35,1450496.71,1372468.88,1417246.67,1419600.13,1635794.57,1508082.41,1414840.41,1601070.50,1481804.00,1437534.23,1493222.21 "Tinymembench - Standard Memset (MB/s)",HIB,17329.8,14961.4,14820.3,14571.7,16494.4,14776.4,15640.1,15097.1,15585.7,15872.0,14921.3,16357.2,14786.9,16261.5,16300.8 "ONNX Runtime - Model: yolov4 - Device: OpenMP CPU (Inferences/min)",HIB,240,280,277,243,264,259,243,277,248,285,267,262,271,263,246 "Redis - Test: SET (Reqs/sec)",HIB,1228831.79,1147451.38,1173570.00,1126925.50,1170719.46,1156241.74,1200527.31,1180459.91,1336546.21,1189270.87,1143594.63,1315900.46,1186674.32,1183717.45,1185927.04 "JPEG XL - Input: PNG - Encode Speed: 7 (MP/s)",HIB,,,,,,,,10.02,10.69,10.09,9.08,9.78,9.70,9.88,10.06 "Hugin - Panorama Photo Assistant + Stitching Time (sec)",LIB,55.676,53.356,55.773,59.310,55.419,57.242,55.945,53.722,50.59,52.987,56.098,52.987,55.571,55.303,55.599 "KeyDB - (Ops/sec)",HIB,371448.21,415583.96,405905.78,399110.88,394639.23,418080.47,376241.11,413354.59,433091.73,422944.46,420324.96,424600.07,404313.15,386824.54,380625.69 "JPEG XL - Input: JPEG - Encode Speed: 5 (MP/s)",HIB,,,,,,,,58.59,60.25,58.68,53.84,60.57,54.97,54.75,55.74 "JPEG XL - Input: JPEG - Encode Speed: 7 (MP/s)",HIB,,,,,,,,58.62,60.12,58.59,53.75,60.25,54.73,54.80,55.78 "LZ4 Compression - Compression Level: 9 - Decompression Speed (MB/s)",HIB,10219.5,10256.3,10132.1,10057.8,10156.5,10070.2,10249.3,10184.5,10068.5,10292.5,10110.9,10561.9,10188.6,10229.6,10249.5 "LZ4 Compression - Compression Level: 3 - Decompression Speed (MB/s)",HIB,10162.0,10209.3,10172.7,10063.0,10159.7,10101.0,10170.7,10232.8,10099.6,10222.4,10112.2,10567.2,10118.0,10123.0,10233.1 "MBW - Test: Memory Copy - Array Size: 8192 MiB (MiB/s)",HIB,15599.898,15510.921,15480.290,15523.140,15459.164,15482.711,15616.897,15621.641,14958.193,15641.091,15482.735,15666.700,15503.048,15528.653,15534.975 "Stream-Dynamic - - Triad (MB/s/Watt)",HIB,,,,,,,,,,,881.01,,951.09,967.98,957.36 "JPEG XL Decoding - CPU Threads: All (MP/s/Watt)",HIB,,,,,,,,,,2.34,3.00,2.17,1.65,1.29,1.35 "JPEG XL Decoding - CPU Threads: 1 (MP/s/Watt)",HIB,,,,,,,,,,0.68,0.74,0.69,0.47,0.49,0.48 "JPEG XL - Input: JPEG - Encode Speed: 8 (MP/s/Watt)",HIB,,,,,,,,,0.37,0.54,0.55,0.53,0.36,0.38,0.37 "JPEG XL - Input: JPEG - Encode Speed: 7 (MP/s/Watt)",HIB,,,,,,,,,0.75,1.12,1.18,1.04,0.76,0.80,0.78 "JPEG XL - Input: JPEG - Encode Speed: 5 (MP/s/Watt)",HIB,,,,,,,,,0.73,1.11,1.16,1.02,0.74,0.78,0.77 "JPEG XL - Input: PNG - Encode Speed: 8 (MP/s/Watt)",HIB,,,,,,,,,0.01,0.01,0.01,0.01,0.01,0.01,0.01 "JPEG XL - Input: PNG - Encode Speed: 7 (MP/s/Watt)",HIB,,,,,,,,,0.12,0.17,0.18,0.15,0.12,0.13,0.13 "JPEG XL - Input: PNG - Encode Speed: 5 (MP/s/Watt)",HIB,,,,,,,,,0.71,1.15,1.18,0.87,0.84,0.84,0.81 "GROMACS - Input: water_GMX50_bare (Ns/Day/Watt)",HIB,,,,,,,0.03,0.02,0.01,0.02,0.02,0.01,0.02,0.02,0.03 "Chaos Group V-RAY - Mode: CPU (vsamples/Watt)",HIB,,,,,244.21,135.50,272.08,212.71,94.82,202.52,168.70,84.74,193.49,230.41,263.19 "Stream - Type: Triad (MB/s/Watt)",HIB,,2788.51,2743.30,2060.05,,,,,,,,,,, "Algebraic Multi-Grid Benchmark - (Figure Of Merit/Watt)",HIB,5138262.51,7131421.00,8667240.71,7366263.78,5919717.78,6485573.10,5265803.49,6513520.25,4682548.38,6697956.10,5939960.67,9577991.03,6228384.62,5478488.33,5005100.79 "Intel Open Image Denoise - Scene: Memorial (Images / Sec/Watt)",HIB,0.20,0.13,0.11,0.08,0.20,0.10,0.21,0.16,0.07,0.16,0.12,0.06,0.15,0.18,0.21 "OpenVKL - Benchmark: vklBenchmark (Items / Sec/Watt)",HIB,4.55,3.37,2.50,1.60,4.72,2.16,4.79,4.13,1.80,4.32,2.82,1.35,3.24,4.23,4.91 "Hierarchical INTegration - Test: FLOAT (QUIPs/Watt)",HIB,4189997.27,6095028.20,5937216.36,6962207.10,5029503.05,6892716.30,4208867.42,6028009.87,4710525.85,6161220.61,6710210.44,6400547.89,4210427.87,4438176.40,4374765.04 "asmFish - 1024 Hash Memory, 26 Depth (Nodes/s/Watt)",HIB,630429.66,390336.76,359777.90,282725.36,586425.64,333068.50,665647.19,513107.47,231626.04,473583.96,394905.45,228242.13,437974.87,530596.53,616306.44 "Stockfish - Total Time (Nodes/s/Watt)",HIB,552076.25,325661.01,271259.26,205655.17,491891.78,246303.77,560733.59,419124.02,179617.03,391203.16,311552.67,162559.29,369416.83,456939.50,541828.86 "TSCP - AI Chess Performance (Nodes/s/Watt)",HIB,19805.30,27950.92,26682.94,30915.01,23213.22,30478.57,19457.25,27717.32,23615.12,28093.43,29161.11,31397.39,20016.67,20933.67,20309.07 "Crafty - Elapsed Time (Nodes/s/Watt)",HIB,99938.47,142769.17,139072.47,158031.23,116329.09,159454.66,100655.93,139718.79,114628.80,144587.96,156016.10,150336.84,97701.58,103512.01,104169.48 "Sysbench - Test: Memory (Events/sec/Watt)",HIB,62605.70,93633.65,83787.81,141909.12,80342.22,160055.91,66221.01,103730.05,37471.23,105418.49,162496.00,84636.76,57649.40,61939.77,66461.35 "Sysbench - Test: CPU (Events/sec/Watt)",HIB,754.73,539.88,432.15,297.08,733.57,391.60,783.68,638.23,313.31,667.05,474.66,261.75,521.63,649.06,790.51 "Swet - Average (Operations/sec/Watt)",HIB,9098672.56,13079157.08,12821906.80,14546659.15,11032151.74,14898341.79,9228207.39,12873172.87,10268451.78,13255560.12,14256393.92,13794532.24,9008595.44,9610601.36,9410117.78 "QuantLib - (MFLOPS/Watt)",HIB,28.04,40.44,39.68,46.01,33.75,45.42,28.49,40.27,31.99,41.04,44.47,42.47,28.32,29.87,29.52 "Etcpak - Configuration: DXT1 (Mpx/s/Watt)",HIB,17.07,24.45,23.75,27.45,20.49,27.10,17.06,24.28,19.82,24.75,26.39,26.64,17.36,18.27,17.79 "Etcpak - Configuration: ETC2 (Mpx/s/Watt)",HIB,2.00,2.87,2.79,3.27,2.39,3.24,2.00,2.86,2.29,2.91,3.16,3.07,2.02,2.10,2.09 "Google SynthMark - Test: VoiceMark_100 (Voices/Watt)",HIB,9.49,13.61,13.11,15.47,11.25,15.33,9.48,13.51,10.89,13.83,14.84,14.59,9.49,9.91,9.87 "LibRaw - Post-Processing Benchmark (Mpix/sec/Watt)",HIB,0.40,0.55,0.55,0.62,0.47,0.62,0.41,0.55,0.40,0.55,0.61,0.53,0.41,0.40,0.41 "MBW - Test: Memory Copy - Array Size: 8192 MiB (MiB/s/Watt)",HIB,192.02,268.62,266.51,315.08,230.35,311.47,201.36,269.18,182.44,272.57,306.50,248.71,194.18,204.18,197.21 "Tinymembench - Standard Memset (MB/s/Watt)",HIB,236.78,284.81,279.72,332.00,268.71,334.79,215.62,289.31,209.76,303.95,333.88,286.11,202.28,239.76,223.59 "Stream - Type: Add (MB/s/Watt)",HIB,2144.89,,,,,,,,1709.94,,,,,, "Stream - Type: Copy (MB/s/Watt)",HIB,648.19,902.05,1003.43,854.90,790.62,785.09,678.70,844.44,560.85,873.56,734.63,973.24,762.36,729.38,676.56 "Stress-NG - Test: CPU Cache (Bogo Ops/s/Watt)",HIB,0.50,0.62,0.54,0.63,0.63,0.50,0.53,0.66,0.47,0.69,0.55,0.38,0.58,0.57,0.56 "Stress-NG - Test: CPU Cache (Bogo Ops/s)",HIB,43.70,41.11,32.72,32.53,49.78,25.17,44.36,45.23,46.39,49.19,30.12,24.85,51.39,51.13,48.86 "Stress-NG - Test: Context Switching (Bogo Ops/s/Watt)",HIB,117242.06,70344.07,63978.31,50370.93,107976.93,58318.22,120719.38,93564.11,41954.82,86092.82,68963.86,40925.63,80883.70,97803.22,115852.78 "Stress-NG - Test: Socket Activity (Bogo Ops/s/Watt)",HIB,109.94,92.04,79.41,67.53,110.23,75.36,115.18,114.89,42.43,104.78,93.40,51.33,98.20,100.85,107.24 "Stress-NG - Test: Matrix Math (Bogo Ops/s/Watt)",HIB,987.36,638.73,545.34,412.61,911.37,484.49,1022.61,791.90,348.06,751.29,617.90,324.00,717.75,701.63,984.98 "Stress-NG - Test: Vector Math (Bogo Ops/s/Watt)",HIB,2315.41,1407.24,1278.65,961.66,2071.71,1163.29,2387.46,1705.78,850.73,1741.29,1400.36,783.29,1476.94,1829.62,2265.28 "Stress-NG - Test: Crypto (Bogo Ops/s/Watt)",HIB,68.08,40.81,37.06,28.52,61.88,33.86,70.11,52.91,24.38,49.49,40.39,23.03,45.60,55.91,68.59 "Stress-NG - Test: CPU Stress (Bogo Ops/s/Watt)",HIB,119.94,79.28,68.61,48.74,108.92,61.95,125.49,96.72,47.44,94.22,75.08,41.61,82.69,90.68,120.79 "Coremark - CoreMark Size 666 - Iterations Per Second (Iterations/Sec/Watt)",HIB,11585.51,6564.90,5810.65,4345.65,10306.40,5295.21,11942.55,8528.23,3863.56,8324.83,6395.91,3489.81,7324.67,9244.96,11713.97 "LZ4 Compression - Compression Level: 9 - Decompression Speed (MB/s/Watt)",HIB,139.63,201.08,197.87,234.32,166.46,231.30,144.64,197.68,134.54,201.45,228.69,183.94,142.36,149.30,145.49 "LZ4 Compression - Compression Level: 3 - Decompression Speed (MB/s/Watt)",HIB,139.07,199.84,198.83,233.97,166.50,232.15,143.59,198.84,134.23,199.63,227.31,188.33,141.26,147.53,145.09 "7-Zip Compression - Compress Speed Test (MIPS/Watt)",HIB,1772.21,1091.49,969.68,710.08,1667.35,872.02,1860.21,1397.09,654.08,1318.89,1034.12,601.78,1207.72,1524.06,1784.05 "Zstd Compression - Compression Level: 19 (MB/s/Watt)",HIB,1.31,1.20,1.00,0.66,1.33,0.89,1.38,1.38,0.69,1.43,1.01,0.63,1.17,1.24,1.38 "Zstd Compression - Compression Level: 3 (MB/s/Watt)",HIB,94.05,124.95,124.18,101.96,108.55,122.04,98.16,121.39,86.38,121.69,123.70,96.70,100.70,102.10,94.38 "C-Blosc - Compressor: blosclz (MB/s/Watt)",HIB,77.37,145.89,160.12,182.90,104.37,173.90,83.21,135.67,109.47,138.76,165.18,165.32,106.55,93.88,80.86 "Crypto++ - Test: Integer + Elliptic Curve Public Key Algorithms (MiB/s/Watt)",HIB,57.63,82.69,81.20,94.07,68.50,93.36,58.12,81.90,64.14,83.94,91.59,87.24,57.18,61.08,60.24 "Crypto++ - Test: Keyed Algorithms (MiB/s/Watt)",HIB,7.54,10.84,10.63,12.39,9.00,12.28,7.58,10.78,8.43,11.01,12.03,11.44,7.57,7.98,7.86 "Crypto++ - Test: Unkeyed Algorithms (MiB/s/Watt)",HIB,4.29,6.18,5.98,7.09,5.14,7.01,4.31,6.13,4.76,6.26,6.83,6.50,4.26,4.52,4.46 "Botan - Test: Twofish (MiB/s/Watt)",HIB,4.50,6.50,6.28,7.37,5.41,7.30,4.53,6.42,5.10,6.60,7.11,6.82,4.57,4.77,4.68 "Botan - Test: KASUMI (MiB/s/Watt)",HIB,1.18,1.70,1.66,1.94,1.40,1.92,1.18,1.69,1.33,1.73,1.86,1.82,1.18,1.25,1.23 "Botan - Test: CAST-256 (MiB/s/Watt)",HIB,1.83,2.65,2.56,3.00,2.16,2.98,1.82,2.61,2.09,2.67,2.88,2.83,1.83,1.93,1.90 "Botan - Test: Blowfish (MiB/s/Watt)",HIB,5.49,7.92,7.70,8.96,6.50,8.88,5.51,7.85,6.21,8.01,8.62,8.25,5.52,5.83,5.72 "Botan - Test: AES-256 (MiB/s/Watt)",HIB,66.83,96.36,94.08,109.56,79.86,108.21,67.17,95.12,76.11,97.57,105.14,101.50,67.57,70.28,69.94 "BlogBench - Test: Read (Final Score/Watt)",HIB,10196.91,21034.07,22851.81,29655.38,15592.36,28304.98,10885.37,20067.14,12966.29,20274.62,27647.84,19861.21,14192.86,12835.03,10813.36 "ebizzy - (Records/s/Watt)",HIB,16026.57,12779.06,10725.42,7399.84,15696.63,9696.42,16672.76,14373.63,7194.42,13548.39,11127.27,5966.03,13352.11,15813.47,15179.50 "Facebook RocksDB - Test: Read While Writing (Op/s/Watt)",HIB,43072.97,28233.69,24738.50,18803.69,40538.44,23416.29,44350.10,36657.22,14841.44,32038.20,29403.11,14725.01,31284.41,37151.16,41351.79 "Facebook RocksDB - Test: Random Read (Op/s/Watt)",HIB,1144599.80,752967.14,623360.93,482400.32,1055932.79,561814.90,1165531.87,931173.20,405107.75,861998.88,744401.17,383902.17,820332.86,966385.49,1116784.85 "Facebook RocksDB - Test: Random Fill Sync (Op/s/Watt)",HIB,2752.63,3035.68,2693.49,2127.71,3130.89,2715.04,2353.30,3252.08,1704.39,3314.42,3041.80,1654.28,2535.97,2741.84,2391.11 "simdjson - Throughput Test: DistinctUserID (GB/s/Watt)",HIB,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01 "simdjson - Throughput Test: Kostya (GB/s/Watt)",HIB,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01 "simdjson - Throughput Test: LargeRandom (GB/s/Watt)",HIB,0.00,0.01,0.01,0.01,0.01,0.01,0.00,0.01,0.01,0.01,0.01,0.01,0.00,0.00,0.00 "simdjson - Throughput Test: PartialTweets (GB/s/Watt)",HIB,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01 "PHPBench - PHP Benchmark Suite (Score/Watt)",HIB,7643.25,11170.88,10676.05,12522.00,9050.74,12418.02,7697.43,10842.61,8583.59,11143.99,12087.81,11604.83,7829.14,8074.56,8013.00 "Redis - Test: GET (Reqs/sec/Watt)",HIB,27989.20,39042.93,36649.44,42939.75,31741.99,40587.49,25840.00,35995.93,29783.14,38176.82,39449.14,37914.84,27229.69,27083.65,26979.35 "Redis - Test: SET (Reqs/sec/Watt)",HIB,22530.98,29418.44,29192.78,33238.20,24980.53,33520.26,21301.37,29043.85,23705.79,29411.07,31275.55,30367.37,21182.66,21774.45,20916.31 "InfluxDB - Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec/Watt)",HIB,12919.70,17743.64,18467.75,19958.05,15448.09,19817.67,13662.86,17835.71,13202.43,17199.25,19723.37,16288.24,13818.71,13661.39,13552.63 "InfluxDB - Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec/Watt)",HIB,12097.16,17298.69,17671.85,19005.43,14523.73,19247.10,12804.70,17421.85,11716.29,16668.21,19191.04,15038.78,12972.75,12867.29,12759.88 "KeyDB - (Ops/sec/Watt)",HIB,3833.65,5903.16,6206.07,7415.88,4838.07,7232.18,4095.78,5856.34,4143.95,6102.85,7158.88,5640.60,4517.76,4228.11,4123.94 "Apache Cassandra - Test: Writes (Op/s/Watt)",HIB,1563.40,1745.18,1456.94,837.71,1765.84,1222.04,1537.85,1934.28,945.02,2007.98,1607.35,654.20,1502.63,1507.25,1503.96 "BRL-CAD - VGR Performance Metric (VGR Performance Metric/Watt)",HIB,3376.22,1999.85,1704.37,1298.73,3002.44,1489.50,3432.53,2544.94,996.10,2326.85,1994.01,968.19,2248.89,2741.49,3261.53 "Aircrack-ng - (k/s/Watt)",HIB,798.57,481.81,426.14,334.92,725.65,387.56,819.37,628.13,275.97,584.98,473.01,262.96,551.30,669.52,800.29 "x265 - Video Input: Bosphorus 4K (FPS/Watt)",HIB,0.18,0.21,0.20,0.14,0.21,0.20,0.20,0.22,0.12,0.23,0.23,0.11,0.18,0.18,0.19 "x264 - H.264 Video Encoding (FPS/Watt)",HIB,2.06,2.12,2.01,1.31,2.30,1.74,2.22,2.32,1.47,2.38,2.16,1.14,1.93,2.08,2.22 "SVT-VP9 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p (FPS/Watt)",HIB,5.28,6.59,5.07,2.72,6.57,4.25,5.97,7.27,2.76,7.38,5.47,2.34,5.70,6.14,5.54 "SVT-VP9 - Tuning: Visual Quality Optimized - Input: Bosphorus 1080p (FPS/Watt)",HIB,3.67,4.59,3.55,1.90,4.48,3.02,4.04,5.00,2.19,5.14,3.89,1.67,4.00,4.11,3.83 "SVT-VP9 - Tuning: Visual Quality Optimized - Input: Bosphorus 1080p (FPS)",HIB,305.10,319.05,242.24,107.11,336.24,184.83,332.56,334.18,230.31,350.63,229.82,124.35,325.84,346.63,322.83 "SVT-AV1 - Encoder Mode: Enc Mode 4 - Input: 1080p (FPS/Watt)",HIB,0.06,0.05,0.05,0.04,0.06,0.04,0.06,0.06,0.03,0.06,0.05,0.03,0.05,0.06,0.06 "SVT-AV1 - Encoder Mode: Enc Mode 8 - Input: 1080p (FPS/Watt)",HIB,0.83,0.61,0.44,0.33,0.69,0.41,0.89,0.68,0.32,0.68,0.49,0.28,0.56,0.62,0.86 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS/Watt)",HIB,0.41,0.40,0.40,0.31,0.43,0.35,0.42,0.47,0.26,0.47,0.45,0.24,0.40,0.40,0.41 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS/Watt)",HIB,0.25,0.21,0.21,0.17,0.26,0.19,0.27,0.26,0.13,0.25,0.24,0.13,0.23,0.24,0.25 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Medium (FPS/Watt)",HIB,0.09,0.08,0.08,0.06,0.10,0.07,0.10,0.10,0.05,0.09,0.09,0.05,0.09,0.09,0.09 "dav1d - Video Input: Chimera 1080p 10-bit (FPS/Watt)",HIB,2.22,2.26,2.00,1.95,2.59,2.15,2.37,2.53,1.47,2.58,2.29,1.62,1.84,2.34,2.39 "dav1d - Video Input: Chimera 1080p (FPS/Watt)",HIB,12.64,14.96,12.61,10.24,16.67,13.08,15.25,16.80,8.07,17.37,15.03,7.83,11.84,15.55,14.68 "dav1d - Video Input: Summer Nature 4K (FPS/Watt)",HIB,4.45,4.14,3.32,2.51,4.65,3.13,4.92,4.62,2.06,4.91,3.73,2.00,3.54,4.61,4.56 "dav1d - Video Input: Summer Nature 1080p (FPS/Watt)",HIB,13.08,14.37,10.93,8.74,15.42,11.35,15.54,15.80,7.40,16.36,12.88,7.06,11.30,14.70,14.95 "John The Ripper - Test: Blowfish (Real C/S/Watt)",HIB,420.61,260.68,235.34,177.43,379.39,213.21,439.24,316.71,156.27,317.83,255.06,144.00,273.00,337.12,420.48 "John The Ripper - Test: MD5 (Real C/S/Watt)",HIB,22232.88,13762.68,11851.02,9459.27,20367.12,10769.05,22927.63,17709.04,7625.61,16435.49,13466.23,7334.16,15619.65,18839.03,22402.97 "Cpuminer-Opt - Algorithm: Skeincoin (kH/s/Watt)",HIB,8011.78,3879.07,2891.08,1483.87,7328.52,2410.51,8559.50,5770.73,2197.63,5932.59,3270.93,1374.22,4208.20,6520.94,8665.81 "Cpuminer-Opt - Algorithm: Deepcoin (kH/s/Watt)",HIB,562.57,318.51,224.80,140.99,474.77,201.02,565.67,441.39,175.98,438.65,255.88,128.88,286.60,432.56,610.96 "Cpuminer-Opt - Algorithm: Deepcoin (kH/s)",HIB,46113,19363,12697,6207.89,33589,9361.06,45051,26546,15338,26493,12793,7644.10,23013,34363,48794 "Cpuminer-Opt - Algorithm: Garlicoin (kH/s/Watt)",HIB,101.85,62.91,45.58,31.40,97.57,41.66,105.24,86.48,33.55,89.06,52.46,27.22,63.17,88.03,111.72 "Cpuminer-Opt - Algorithm: Garlicoin (kH/s)",HIB,9581.06,4490.86,2965.29,1473.31,7811.99,2192.82,9507.95,6104.27,3522.44,6242.21,2991.73,1769.46,5725.79,7961.64,10194 "Cpuminer-Opt - Algorithm: x25x (kH/s/Watt)",HIB,9.94,7.07,4.46,3.24,8.88,3.88,9.95,7.53,2.99,7.25,4.95,2.72,5.88,7.80,10.27 "Cpuminer-Opt - Algorithm: x25x (kH/s)",HIB,1360.06,862.81,447.01,216.58,1139.38,322.83,1398.77,883.87,524.31,891.02,429.51,262.90,807.02,1147.36,1429.25 "PlaidML - FP16: No - Mode: Inference - Network: VGG19 - Device: CPU (FPS/Watt)",HIB,0.21,0.19,0.16,0.11,0.22,0.15,0.24,0.22,0.11,0.21,0.18,0.09,0.19,0.20,0.22 "PlaidML - FP16: No - Mode: Inference - Network: VGG16 - Device: CPU (FPS/Watt)",HIB,0.26,0.23,0.20,0.14,0.27,0.19,0.28,0.28,0.13,0.27,0.23,0.11,0.23,0.25,0.26 "ONNX Runtime - Model: bertsquad-10 - Device: OpenMP CPU (Inferences/min/Watt)",HIB,2.39,4.25,4.50,5.24,3.22,4.79,2.50,3.86,2.50,4.08,4.71,4.10,3.27,2.84,2.48 "ONNX Runtime - Model: super-resolution-10 - Device: OpenMP CPU (Inferences/min/Watt)",HIB,25.73,39.90,43.67,47.91,33.35,44.61,25.67,38.41,28.68,40.89,45.86,36.02,32.78,28.36,26.46 "ONNX Runtime - Model: shufflenet-v2-10 - Device: OpenMP CPU (Inferences/min/Watt)",HIB,46.15,108.45,129.62,172.02,68.55,154.91,50.67,96.92,82.09,101.89,142.11,135.13,74.72,59.42,50.14 "ONNX Runtime - Model: fcn-resnet101-11 - Device: OpenMP CPU (Inferences/min/Watt)",HIB,0.57,0.61,0.66,0.68,0.67,0.76,0.55,0.58,0.39,0.60,0.82,0.46,0.55,0.58,0.56 "ONNX Runtime - Model: yolov4 - Device: OpenMP CPU (Inferences/min/Watt)",HIB,1.55,2.60,2.95,3.42,2.01,3.26,1.58,2.49,1.71,2.57,3.28,2.55,1.98,1.75,1.58 "LeelaChessZero - Backend: Eigen (Nodes/s/Watt)",HIB,15.06,10.56,10.97,8.61,12.55,10.05,14.75,11.09,8.39,10.30,11.06,8.98,11.26,13.41,14.74 "LeelaChessZero - Backend: BLAS (Nodes/s/Watt)",HIB,14.95,11.26,11.29,9.44,12.82,10.33,14.58,11.37,8.60,10.83,11.09,8.98,11.33,12.86,14.46 "AI Benchmark Alpha - Device AI Score (Score/Watt)",HIB,26.28,32.53,32.23,29.21,31.20,32.90,27.27,33.56,17.20,33.49,35.45,21.32,27.62,27.68,26.93 "Numpy Benchmark - (Score/Watt)",HIB,4.18,5.98,5.85,6.25,4.97,6.82,4.22,5.96,4.56,6.05,6.72,6.03,4.23,4.46,4.33 "NAS Parallel Benchmarks - Test / Class: CG.C (Mop/s/Watt)",HIB,103.87,,159.36,136.77,,,107.24,129.34,56.39,137.33,119.50,120.79,137.30,,99.25 "NAS Parallel Benchmarks - Test / Class: MG.C (Mop/s/Watt)",HIB,476.11,,660.02,525.61,,,490.40,538.87,197.31,555.62,463.71,592.89,520.26,,466.23 "NAS Parallel Benchmarks - Test / Class: IS.D (Mop/s/Watt)",HIB,12.90,,19.55,18.48,,,13.49,17.73,7.29,18.15,19.39,15.36,15.32,,13.27 "NAS Parallel Benchmarks - Test / Class: LU.C (Mop/s/Watt)",HIB,629.05,607.37,593.84,486.72,655.10,529.25,660.15,616.99,297.36,638.72,573.26,419.08,572.31,602.66,617.60 "NAS Parallel Benchmarks - Test / Class: FT.C (Mop/s/Watt)",HIB,399.60,,398.01,297.55,,,419.28,440.80,153.51,436.08,373.22,260.77,395.37,,398.20 "NAS Parallel Benchmarks - Test / Class: EP.D (Mop/s/Watt)",HIB,23.49,14.01,12.24,9.24,20.64,11.07,24.18,16.63,8.30,17.20,13.47,7.56,14.32,18.05,22.89 "NAS Parallel Benchmarks - Test / Class: EP.C (Mop/s/Watt)",HIB,41.11,21.02,16.06,10.52,36.28,13.77,42.58,27.29,11.81,28.10,17.46,9.02,22.61,32.45,42.56 "GROMACS - Water Benchmark (Ns/Day/Watt)",HIB,0.02,0.02,0.02,0.01,0.02,0.01,0.03,0.02,0.01,0.02,0.02,0.01,0.02,0.02,0.03 "miniFE - Problem Size: Small (CG Mflops/Watt)",HIB,139.02,160.96,181.39,147.34,149.38,132.41,142.84,152.21,52.66,157.73,128.37,167.09,152.28,140.60,132.02 "LULESH - (z/s/Watt)",HIB,91.64,122.19,122.94,117.45,118.64,116.78,95.62,123.94,69.83,125.40,119.53,114.72,113.53,109.48,93.91 "LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day/Watt)",HIB,0.13,0.10,0.09,0.07,0.13,0.08,0.14,0.12,0.06,0.11,0.10,0.06,0.10,0.11,0.13 "LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day/Watt)",HIB,0.25,0.23,0.18,0.11,0.26,0.15,0.29,0.25,0.14,0.26,0.18,0.10,0.22,0.25,0.27 "Kripke - (Throughput FoM/Watt)",HIB,1423158.29,1932212.23,1638766.48,1349588.10,1673028.98,1508621.96,1604877.74,1575405.35,514628.71,1635500.08,1357552.35,1163515.81,1673190.41,1663875.88,1441967.52 "Kripke - (Throughput FoM)",HIB,199683960,209811150,162898387,100898758,211310307,121256433,215771227,176798867,71413394,187397007,112489722,129536920,216525133,230851783,212054200 "Himeno Benchmark - Poisson Pressure Solver (MFLOPS/Watt)",HIB,51.62,73.50,73.24,83.09,62.42,82.98,53.85,75.05,57.55,77.43,84.36,75.95,53.96,56.78,56.01 "High Performance Conjugate Gradient - (GFLOP/s/Watt)",HIB,0.09,0.12,0.14,0.11,0.10,0.11,0.09,0.11,0.05,0.12,0.10,0.11,0.10,0.10,0.09 "FFTE - N=256, 3D Complex FFT Routine (MFLOPS/Watt)",HIB,1260.43,1403.88,1116.04,839.58,1263.45,1139.68,1389.25,1457.28,604.59,1396.95,1200.32,805.56,1272.00,1309.22,1214.72 "Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: Points2Image (Test Cases/min/Watt)",HIB,211.71,372.78,405.87,531.57,278.09,527.48,231.24,356.46,283.96,365.15,475.56,446.35,261.72,242.20,215.38 "Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: NDT Mapping (Test Cases/min/Watt)",HIB,10.75,16.53,16.79,19.69,13.37,19.36,11.61,16.03,9.53,16.61,18.48,16.68,11.94,12.13,11.55 "Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: Euclidean Cluster (Test Cases/min/Watt)",HIB,9.72,15.18,16.01,18.67,12.12,18.67,10.48,15.04,11.43,15.32,18.12,16.03,11.25,10.78,10.41 "ASKAP - Test: tConvolve OpenMP - Degridding (Million Grid Points/sec/Watt)",HIB,96.86,109.78,103.76,58.97,100.05,72.53,92.78,108.49,17.31,108.46,72.91,70.19,89.44,93.63,93.06 "ASKAP - Test: tConvolve MPI - Gridding (Mpix/sec/Watt)",HIB,116.25,123.63,132.05,62.30,117.11,97.15,123.10,104.15,117.06,105.62,92.77,93.74,137.34,139.29,120.45 "ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s/Watt)",HIB,0.11,0.06,0.05,0.02,0.10,0.05,0.11,0.07,0.03,0.07,0.05,0.03,0.06,0.08,0.11 "IndigoBench - Acceleration: CPU - Scene: Bedroom (M samples/s/Watt)",HIB,0.05,0.03,0.03,0.02,0.04,0.02,0.05,0.04,0.02,0.03,0.03,0.02,0.03,0.04,0.05 "IndigoBench - Acceleration: CPU - Scene: Supercar (M samples/s/Watt)",HIB,0.10,0.06,0.05,0.04,0.09,0.05,0.10,0.08,0.03,0.08,0.06,0.03,0.07,0.09,0.10 "Chaos Group V-RAY - Mode: CPU (Ksamples/Watt)",HIB,353.18,235.77,202.24,152.41,328.86,185.79,364.02,275.92,127.66,257.36,233.63,124.47,243.18,306.53,342.54 "LuxCoreRender - Scene: Rainbow Colors and Prism (M samples/sec/Watt)",HIB,0.04,0.03,0.02,0.02,0.04,0.02,0.04,0.03,0.02,0.03,0.03,0.01,0.03,0.04,0.04 "LuxCoreRender - Scene: DLSC (M samples/sec/Watt)",HIB,0.04,0.03,0.02,0.02,0.04,0.02,0.04,0.03,0.01,0.03,0.03,0.01,0.03,0.03,0.04 "rays1bench - Large Scene (mrays/s/Watt)",HIB,2.33,1.34,0.97,0.68,2.24,0.85,2.39,1.81,0.69,1.85,1.09,0.54,1.54,2.04,2.47 "OSPray - Demo: San Miguel - Renderer: Path Tracer (FPS/Watt)",HIB,0.03,0.02,0.02,0.01,0.03,0.01,0.04,0.02,0.01,0.02,0.02,0.01,0.02,0.03,0.04 "OSPray - Demo: San Miguel - Renderer: SciVis (FPS/Watt)",HIB,0.67,0.44,0.31,0.19,0.69,0.26,0.72,0.57,0.21,0.59,0.34,0.16,0.43,0.62,0.75 "OSPray - Demo: NASA Streamlines - Renderer: Path Tracer (FPS/Watt)",HIB,0.11,0.06,0.05,0.04,0.10,0.05,0.12,0.08,0.03,0.08,0.06,0.03,0.07,0.09,0.11 "OSPray - Demo: NASA Streamlines - Renderer: SciVis (FPS/Watt)",HIB,0.76,0.44,0.34,0.22,0.71,0.29,0.78,0.57,0.21,0.59,0.38,0.18,0.47,0.65,0.80 "OSPray - Demo: XFrog Forest - Renderer: Path Tracer (FPS/Watt)",HIB,0.03,0.02,0.02,0.01,0.03,0.02,0.04,0.03,0.01,0.02,0.02,0.01,0.02,0.03,0.03 "OSPray - Demo: XFrog Forest - Renderer: SciVis (FPS/Watt)",HIB,0.07,0.04,0.03,0.02,0.06,0.03,0.07,0.05,0.02,0.05,0.04,0.02,0.05,0.06,0.07 "OSPray - Demo: Magnetic Reconnection - Renderer: SciVis (FPS/Watt)",HIB,0.30,0.17,0.15,0.11,0.28,0.13,0.31,0.23,0.09,0.22,0.16,0.08,0.19,0.25,0.31