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" "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 "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 "LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,2686,1439,1233,681,1927,925,2408,1539,1699,1617,1051,1104,1769,2311,2656 "LeelaChessZero - Backend: BLAS (Nodes/s)",HIB,2699,1521,1253,747,1969,946,2376,1559,1758,1666,1042,1052,1735,2203,2623 "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 "Caffe - Model: GoogleNet - Acceleration: CPU - Iterations: 200 (ms)",LIB,347484,391015,387173,369027,399610,378367,345626,427967,382020,411681,388699,340168,441978,429875,332628 "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 "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 "BlogBench - Test: Read (Final Score)",HIB,1372955,1959615,1898428,1944496,1771624,2023180,1397475,1950080,1676516,1923368,2043037,1772037,1636092,1583350,1373157 "OpenVKL - Benchmark: vklBenchmark (Items / Sec)",HIB,492,279,192,96,441,142,504,337,222,359,186,116,328,446,535 "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 "AI Benchmark Alpha - Device AI Score (Score)",HIB,3089,3472,3119,2206,3397,2679,3341,3510,2615,3641,2922,2474,3518,3528,3248 "AI Benchmark Alpha - Device Training Score (Score)",HIB,1124,1546,1459,1094,1348,1307,1219,1488,1159,1534,1384,1173,1475,1403,1179 "AI Benchmark Alpha - Device Inference Score (Score)",HIB,1965,1926,1660,1112,2049,1372,2122,2022,1456,2107,1538,1301,2043,2125,2069 "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 "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 "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 "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 "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 "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 "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 "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 "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,660079,317661,219055,106073,540558,155347,652602,387792,232507,412076,208150,120622,378660,541775,702166 "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 "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 "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 "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 "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 "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 "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 "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 "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: 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 "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 "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 "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 "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 "Caffe - Model: AlexNet - Acceleration: CPU - Iterations: 200 (ms)",LIB,128965,154693,152539,151559,171885,154871,127699,168728,151327,162544,155763,140558,172508,173812,123771 "asmFish - 1024 Hash Memory, 26 Depth (Nodes/s)",HIB,122849461,62581775,42112219,21027795,105304578,31791813,126290077,78084684,46342665,82716262,41583844,24675753,74422699,103932785,131041886 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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: Deepcoin (kH/s)",HIB,46113,19363,12697,6207.89,33589,9361.06,45051,26546,15338,26493,12793,7644.10,23013,34363,48794 "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: 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 "Apache Cassandra - Test: Writes (Op/s)",HIB,227564,200705,135260,51734,230871,93155,219380,233730,144123,236524,136442,58118,211361,215576,215196 "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 "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 "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 "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 "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 "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 "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 "Chaos Group V-RAY - Mode: CPU (Ksamples)",HIB,62754,33184,23486,11136,53570,17550,62295,37085,27132,38904,22022,14204,36223,54445,66639 "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 "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 "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 "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 "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 "Facebook RocksDB - Test: Read While Writing (Op/s)",HIB,8232474,4397695,3086237,1470621,7183579,2357928,8175383,5486066,3012387,5564433,3023239,1603673,5214302,7131600,8597452 "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 "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 "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 "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 "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 "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 "TensorFlow Lite - Model: Inception ResNet V2 (us)",LIB,702607,1206790,1567070,3136920,893517,2242950,655279,897884,1346153,840604,1639167,2592970,921865,830730,643150 "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 "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 "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 "TensorFlow Lite - Model: Inception V4 (us)",LIB,764269,1366410,1742890,3472940,978828,2493747,700833,1006347,1499183,943229,1820153,2872227,1034367,938691,723699 "Kripke - (Throughput FoM)",HIB,199683960,209811150,162898387,100898758,211310307,121256433,215771227,176798867,71413394,187397007,112489722,129536920,216525133,230851783,212054200 "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 "Cpuminer-Opt - Algorithm: Skeincoin (kH/s)",HIB,605852,210539,151030,63648,468227,105140,631038,316350,182403,324420,150287,79365,317250,470502,629368 "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 "JPEG XL Decoding - CPU Threads: 1 (MP/s)",HIB,,,,,,,,,37.94,34.22,32.16,38.42,32.69,32.76,33.15 "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 "Stockfish - Total Time (Nodes/s)",HIB,100908453,48804732,32973749,16034994,82397132,24314443,98847469,60864616,39043410,64152929,31246137,19191199,58384026,83568166,108543125 "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 "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 "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: 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: 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 "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 "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 "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 "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 "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 "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 "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 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 "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 "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 "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 "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 "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: 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 "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 "Facebook RocksDB - Test: Random Read (Op/s)",HIB,218469824,114391434,76972090,39206156,185095008,56928967,214717760,139338056,93883130,147488280,74816560,48331735,133038550,185712982,238239736 "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 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 "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 "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 "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 "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 "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 "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 "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: 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 "Facebook RocksDB - Test: Random Fill Sync (Op/s)",HIB,287115,216427,163248,94371,331300,131583,333412,259353,172585,258759,163535,100843,253689,331791,331439 "John The Ripper - Test: MD5 (Real C/S)",HIB,4183000,2127333,1460333,717175,3528667,1072333,4195333,2596333,1731667,2798667,1354000,874700,2534000,3557667,4568000 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "JPEG XL Decoding - CPU Threads: All (MP/s)",HIB,,,,,,,,,207.63,188.06,197.76,183.95,171.73,136.31,145.07 "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 "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 "7-Zip Compression - Compress Speed Test (MIPS)",HIB,264908,138575,95137,45941,229747,69655,270140,171362,109069,176148,90588,56955,171242,234062,279656 "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 "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 "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 "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 "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 "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 "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 "PyPerformance - Benchmark: regex_compile (Milliseconds)",LIB,198,200,202,208,202,208,202,197,174,198,208,171,202,203,195 "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 "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 "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 "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 "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 "PHPBench - PHP Benchmark Suite (Score)",HIB,529609,542521,524189,511906,523575,513356,524751,531740,614039,539060,511228,621672,532957,521572,540797 "ebizzy - (Records/s)",HIB,2701767,1721854,1208466,623272,2456511,883965,2762647,1947836,1475280,2136850,1021990,776880,1977325,2719388,2853783 "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 "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 "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 "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 "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 "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: 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 "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 "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 "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 "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 "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 "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 "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 "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 "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: 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 "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 "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 "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 "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 "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 "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 "John The Ripper - Test: Blowfish (Real C/S)",HIB,70033,33755,22314,10825,59963,16224,73579,43703,26345,44596,21454,13183,42800,61119,75234 "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 "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 "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 "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 "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 "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 "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 "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 "Crafty - Elapsed Time (Nodes/s)",HIB,6899948,6880760,6787692,6414609,6674881,6551351,6753902,6804305,7940047,6983945,6547690,7939883,6545211,6652696,6936092 "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 "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 "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 "PyBench - Total For Average Test Times (Milliseconds)",LIB,1166,1159,1172,1213,1178,1208,1184,1173,999,1137,1221,998,1180,1184,1166 "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 "PyPerformance - Benchmark: nbody (Milliseconds)",LIB,135,135,137,141,137,141,137,135,116,133,142,116,137,138,133 "PyPerformance - Benchmark: float (Milliseconds)",LIB,133,133,135,143,134,138,134,132,114,135,139,115,134,135,130 "Algebraic Multi-Grid Benchmark - (Figure Of Merit)",HIB,878375333,778459433,788266875,449916460,856893400,457855350,883735200,774304800,643180925,774329467,455760633,809844583,909532667,892248833,880998567 "PyPerformance - Benchmark: crypto_pyaes (Milliseconds)",LIB,129,131,130,135,133,134,133,128,110,129,135,111,131,134,127 "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 "Swet - Average (Operations/sec)",HIB,602434885,600065572,598589228,561816772,605644364,581194588,602203842,597361197,685188810,612218425,571825580,686395419,582684333,592049225,606567122 "toyBrot Fractal Generator - Implementation: C++ Tasks (ms)",LIB,,,,,,,,,,,25683,41679,13798,9839,7880 "toyBrot Fractal Generator - Implementation: OpenMP (ms)",LIB,,,,,,,,,,,25388,41422,13926,9892,7991 "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 "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 "toyBrot Fractal Generator - Implementation: C++ Threads (ms)",LIB,,,,,,,,,,,25426,41573,13619,9652,7573 "toyBrot Fractal Generator - Implementation: TBB (ms)",LIB,,,,,,,,,,,25411,41606,13556,9723,7517 "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 "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 "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 "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 "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 "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 "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 "Stream-Dynamic - - Scale (MB/s)",HIB,,,,,,,,,,81529.057,53610.351,,92368.408,92049.483,92337.605 "Stream-Dynamic - - Copy (MB/s)",HIB,,,,,,,,,,82081.428,53581.265,,94075.670,93594.607,93965.375 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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: 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 "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 "TSCP - AI Chess Performance (Nodes/s)",HIB,1015858,1013320,997133,969371,997461,969066,997809,1014342,1178140,1030295,968149,1180682,999442,996805,1028054 "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 "ctx_clock - Context Switch Time (Clocks)",LIB,120,168,180,217,132,203,120,150,175,174,196,185,144,138,135 "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: 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 "Stream - Type: Add (MB/s/Watt)",HIB,2144.89,,,,,,,,1709.94,,,,,, "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 - 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 - 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: 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-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: 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: 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 "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 "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