2 x Intel Xeon 6780E testing with a Quanta Cloud QuantaGrid D55Q-2U S7Q-MB-MPS-MDP (2A05.QCT001 BIOS) and ASPEED on Ubuntu 24.04 via the Phoronix Test Suite.

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2024 Server CPUs 2 x Intel Xeon 6780E testing with a Quanta Cloud QuantaGrid D55Q-2U S7Q-MB-MPS-MDP (2A05.QCT001 BIOS) and ASPEED on Ubuntu 24.04 via the Phoronix Test Suite. ,,"Xeon Platinum 8490H","Xeon Platinum 8490H 2P","Xeon Platinum 8592+","Xeon Platinum 8592+ 2P","Xeon Max 9468","Xeon Max 9468 2P","Xeon Max 9480","Xeon Max 9480 2P","Xeon Platinum 8380 2P","Xeon Platinum 8380","EPYC 9684X 2P","EPYC 9684X","EPYC 9654","EPYC 9654 2P","EPYC 9754","EPYC 9754 2P","EPYC 8534P","EPYC 8534PN","Xeon 6766E 2P","Xeon 6766E","Xeon 6780E","Xeon 6780E 2P" Processor,,Intel Xeon Platinum 8490H @ 3.50GHz (60 Cores / 120 Threads),2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads),INTEL XEON PLATINUM 8592+ @ 3.90GHz (64 Cores / 128 Threads),2 x INTEL XEON PLATINUM 8592+ @ 3.90GHz (128 Cores / 256 Threads),Intel Xeon Max 9468 @ 3.50GHz (48 Cores / 96 Threads),2 x Intel Xeon Max 9468 @ 3.50GHz (96 Cores / 192 Threads),Intel Xeon Max 9480 @ 3.50GHz (56 Cores / 112 Threads),2 x Intel Xeon Max 9480 @ 3.50GHz (112 Cores / 224 Threads),2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads),Intel Xeon Platinum 8380 @ 3.40GHz (40 Cores / 80 Threads),2 x AMD EPYC 9684X 96-Core @ 2.55GHz (192 Cores / 384 Threads),AMD EPYC 9684X 96-Core @ 2.55GHz (96 Cores / 192 Threads),AMD EPYC 9654 96-Core @ 2.40GHz (96 Cores / 192 Threads),2 x AMD EPYC 9654 96-Core @ 2.40GHz (192 Cores / 384 Threads),AMD EPYC 9754 128-Core @ 2.25GHz (128 Cores / 256 Threads),2 x AMD EPYC 9754 128-Core @ 2.25GHz (256 Cores / 512 Threads),AMD EPYC 8534P 64-Core @ 2.30GHz (64 Cores / 128 Threads),AMD EPYC 8534PN 64-Core @ 2.00GHz (64 Cores / 128 Threads),2 x Intel Xeon 6766E @ 2.70GHz (288 Cores),Intel Xeon 6766E @ 2.70GHz (144 Cores),Intel Xeon 6780E @ 3.00GHz (144 Cores),2 x Intel Xeon 6780E @ 3.00GHz (288 Cores) Motherboard,,Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS),Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS),Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS),Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS),Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS),Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS),Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS),Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS),Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS),Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS),AMD Titanite_4G (RTI1007B BIOS),AMD Titanite_4G (RTI1007B BIOS),AMD Titanite_4G (RTI1007B BIOS),AMD Titanite_4G (RTI1007B BIOS),AMD Titanite_4G (RTI1007B BIOS),AMD Titanite_4G (RTI1007B BIOS),AMD Cinnabar (RCB1009C BIOS),AMD Cinnabar (RCB1009C BIOS),Quanta Cloud QuantaGrid D55Q-2U S7Q-MB-MPS-MDP (2A05.QCT001 BIOS),Quanta Cloud QuantaGrid D55Q-2U S7Q-MB-MPS-MDP (2A05.QCT001 BIOS),Quanta Cloud QuantaGrid D55Q-2U S7Q-MB-MPS-MDP (2A05.QCT001 BIOS),Quanta Cloud QuantaGrid D55Q-2U S7Q-MB-MPS-MDP (2A05.QCT001 BIOS) Chipset,,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce,Intel Ice Lake IEH,Intel Ice Lake IEH,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,Intel Ice Lake IEH,Intel Ice Lake IEH,Intel Ice Lake IEH,Intel Ice Lake IEH Memory,,512GB,1008GB,512GB,1008GB,576GB,1136GB,576GB,1136GB,512GB,256GB,1520GB,12 x 64GB DDR5-4800MT/s Samsung M321R8GA0BB0-CQKEG,12 x 64GB DDR5-4800MT/s Samsung M321R8GA0BB0-CQKEG,1520GB,12 x 64GB DDR5-4800MT/s Samsung M321R8GA0BB0-CQKEG,1520GB,6 x 32GB DDR5-4800MT/s Samsung M321R4GA0BB0-CQKMG,6 x 32GB DDR5-4800MT/s Samsung M321R4GA0BB0-CQKMG,512GB,256GB,256GB,512GB Disk,,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92 + 2000GB Corsair MP700 PRO,2 x 1920GB KIOXIA KCD8XPUG1T92,3201GB Micron_7450_MTFDKCB3T2TFS + 2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92 + 3201GB Micron_7450_MTFDKCB3T2TFS,3201GB Micron_7450_MTFDKCB3T2TFS + 2 x 1920GB KIOXIA KCD8XPUG1T92,3201GB Micron_7450_MTFDKCB3T2TFS + 2 x 1920GB KIOXIA KCD8XPUG1T92 Graphics,,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED Network,,,2 x Intel X710 for 10GBASE-T,,2 x Intel X710 for 10GBASE-T,,2 x Intel X710 for 10GBASE-T,,2 x Intel X710 for 10GBASE-T,2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP,2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,2 x Broadcom NetXtreme BCM5720 PCIe,2 x Broadcom NetXtreme BCM5720 PCIe,2 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMA,2 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMA,2 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMA,2 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMA Monitor,,,,,,,,,,VE228,VE228,,,,,,,,,,,, OS,,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04 Kernel,,6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64) Compiler,,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0 File-System,,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4 Screen Resolution,,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1080,1920x1080,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200 ,,"Xeon Platinum 8490H","Xeon Platinum 8490H 2P","Xeon Platinum 8592+","Xeon Platinum 8592+ 2P","Xeon Max 9468","Xeon Max 9468 2P","Xeon Max 9480","Xeon Max 9480 2P","Xeon Platinum 8380 2P","Xeon Platinum 8380","EPYC 9684X 2P","EPYC 9684X","EPYC 9654","EPYC 9654 2P","EPYC 9754","EPYC 9754 2P","EPYC 8534P","EPYC 8534PN","Xeon 6766E 2P","Xeon 6766E","Xeon 6780E","Xeon 6780E 2P" "WRF - Input: conus 2.5km (sec)",LIB,11980.806,6674.12,10602.408,5601.101,13273.694,7157.961,12410.29,6840.057,14030.513,18998.816,4431.344,7885.16,10176.864,6918.021,11895.407,7365.863,16146.997,16609.781,,,, "OpenVKL - Benchmark: vklBenchmarkCPU ISPC (Items / Sec)",HIB,1734,2716,2004,3222,1243,1776,1356,1852,1527,869,3906,2396,2077,3335,2508,4012,1266,1177,2020,1267,1391,2228 "RELION - Test: Basic - Device: CPU (sec)",LIB,373.182,203.407,290.448,155.741,412.371,214.416,384.384,201.382,368.219,705.584,93.168,176.422,238.881,145.647,360.207,201.265,468.688,496.241,,,, "NWChem - Input: C240 Buckyball (sec)",LIB,2070.3,1960.9,1878.3,1809.7,2530.5,1785,2245.2,1873.1,2170,3576.4,1429.9,1450.5,1575.5,1558.4,1700,1712.6,2024.7,2224.6,,,, "High Performance Conjugate Gradient - X Y Z: 144 144 144 - RT: 60 (GFLOP/s)",HIB,31.0738,60.8515,35.1361,69.2976,25.2423,54.4054,30.5872,62.6357,30.1110,20.4129,44.9502,27.5824,28.3185,42.5158,23.6266,41.8727,22.1972,22.1341,,,, "TensorFlow - Device: CPU - Batch Size: 512 - Model: ResNet-50 (images/sec)",HIB,148.45,174.95,140.53,169.75,117.53,145.29,125.14,138.39,127.97,91.75,137.50,121.96,140.01,161.90,135.17,174.93,101.17,95.63,113.42,91.96,97.67,124.60 "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,833892,4136969,916904,5186677,713937,3658790,767812,4075342,2300947,430885,6193921,3122574,3161216,6162228,3484477,5861750,851997,771352,2239294,1508453,1640921,2449334 "Xcompact3d Incompact3d - Input: X3D-benchmarking input.i3d (sec)",LIB,357.009712,196.808116,323.245697,171.375778,407.589406,189.686116,351.644165,187.224004,292.030314,558.384868,167.128164,309.847653,466.548014,248.867315,534.059428,253.318553,567.286947,568.254049,,,, "CloverLeaf - Input: clover_bm16 (sec)",LIB,328.47,214.80,410.59,378.05,351.29,263.33,357.57,269.20,295.30,512.36,223.54,245.82,334.30,266.10,400.52,349.67,495.25,498.22,226.60,314.88,313.50,236.81 "ASKAP - Test: tConvolve MT - Gridding (Million Grid Points/sec)",HIB,8088.11,7630.06,5062.07,6038.92,3375.32,3347.93,3406.96,4382.97,5279.07,5172.96,14185.1,14955.6,12394.6,12708.5,12731.8,11208.7,5826.44,5821.46,,,, "ASKAP - Test: tConvolve MT - Degridding (Million Grid Points/sec)",HIB,,,,,,,,,9893.32,7425.22,16906.2,14143.1,14217.1,11941.3,9839.64,13455.0,7382.43,7421.23,,,, "PyTorch - Device: CPU - Batch Size: 256 - Model: ResNet-152 (batches/sec)",HIB,20.25,14.08,23.33,16.00,19.20,16.30,19.58,14.92,14.88,17.70,7.02,14.08,13.95,7.14,11.01,5.71,13.26,13.18,6.11,11.88,13.64,6.61 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency (ms)",LIB,0.572,1.293,0.589,1.149,0.559,1.027,0.622,1.098,0.525,0.581,0.289,0.251,0.278,0.293,0.292,0.329,0.384,0.414,0.815,0.572,0.542,0.775 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Only (TPS)",HIB,1748146,778141,1699046,881881,1792636,976035,1607424,920725,1930006,1720762,3480909,3989358,3603261,3422731,3422492,3044620,2606500,2416375,1229649,1748658,1846080,1292122 "TensorFlow - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec)",HIB,143.67,161.06,129.02,150.33,119.73,141.95,123.69,135.28,125.91,91.65,120.11,123.37,138.11,133.87,125.76,131.38,98.70,92.82,103.22,87.17,92.42,115.12 "OpenSSL - Algorithm: RSA4096 (verify/s)",HIB,974189.9,1916162.9,1036735.6,2057021.6,697707.2,1395446.4,813667.6,1627941.4,1099481.5,587354.8,3214376.3,1613828.7,1436324.9,2861959.8,1872096.1,3729470.8,881480.8,810291.8,1479879.0,743282.7,826049.5,1644363.7 "OpenSSL - Algorithm: RSA4096 (sign/s)",HIB,27431.1,54601.1,31594.4,61499.6,22861.0,45531.0,25441.5,48534.8,36371.6,18389.3,98237.0,48996.8,35964.9,71942.0,53966.9,107830.6,25894.6,21047.5,22587.4,11348.5,12610.8,25098.0 "Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,362.454,218.570,316.902,189.739,428.387,246.936,384.063,231.033,356.987,612.782,181.995,290.341,311.825,197.630,337.685,210.197,406.414,438.168,192.098,274.855,251.195,174.272 "Stockfish - Chess Benchmark (Nodes/s)",HIB,96887479,187761769,109766345,222610378,68019088,137977203,73592230,149409082,104597200,51099545,399124223,214524659,197708350,370751530,189763799,301202232,99198144,90658156,235445499,122794246,125194066,266919825 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 (Latency)",LIB,85.16,92.23,81.73,82.73,90.02,94.84,89.53,95.39,102.67,100.29,61.46,52.93,53.77,61.07,58.11,66.54,65.66,64.93,107.28,90.31,84.59,101.49 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 (point/sec)",HIB,90871770,83651785,94616807,92771639,85744542,80770465,86354518,80139566,75178480,76729495,124947288,144760448,142102254,125595607,131781309,115317834,116879799,117884977,71664005,85117897,90973414,75740139 "PyTorch - Device: CPU - Batch Size: 512 - Model: ResNet-152 (batches/sec)",HIB,20.46,14.59,23.41,16.17,19.47,16.68,19.29,14.74,14.76,17.55,7.07,13.95,14.05,7.20,10.91,5.75,13.28,13.28,6.33,11.74,13.61,6.65 "PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-152 (batches/sec)",HIB,20.13,14.03,23.49,16.25,19.01,15.84,19.24,14.96,15.11,17.73,7.08,13.89,13.84,7.04,10.88,5.79,13.19,13.15,6.15,11.95,13.00,6.59 "SecureMark - Benchmark: SecureMark-TLS (marks)",HIB,277205,275472,309896,308434,277647,277589,277260,277298,231076,231357,301740,300833,298341,299610,250695,251075,250024,250162,197298,196740,220051,217536 "ClickHouse - 100M Rows Hits Dataset, Third Run (Queries/min, Geo Mean)",HIB,481.66,501.63,458.23,438.60,470.02,501.07,476.91,471.79,295.06,342.99,526.36,595.19,559.55,525.23,458.96,427.95,338.84,335.46,320.87,379.92,400.52,337.75 "ClickHouse - 100M Rows Hits Dataset, Second Run (Queries/min, Geo Mean)",HIB,486.05,507.56,455.79,443.58,465.06,499.18,474.68,467.96,295.43,339.67,528.21,597.73,562.50,529.80,450.12,420.35,337.32,337.44,320.17,381.05,403.96,339.50 "ClickHouse - 100M Rows Hits Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,465.50,485.63,437.20,423.30,446.40,491.89,461.62,460.66,285.17,326.65,513.92,566.31,536.82,504.84,433.79,411.26,323.59,322.69,311.63,365.62,388.29,333.06 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 (Latency)",LIB,294.33,317.36,280.26,286.78,314.44,328.41,309.03,325.97,349.42,326.53,246.08,209.68,211.85,240.43,227.40,253.13,251.47,251.05,380.33,312.32,296.36,377.58 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 (point/sec)",HIB,87797206,80169620,92709751,89231850,82455664,77501248,83475645,78057728,74653007,78823112,106778379,126161028,125562060,108821580,116685326,103630483,105432862,105138551,67599793,81900477,87190397,68320800 "OpenRadioss - Model: Chrysler Neon 1M (sec)",LIB,207.20,115.89,157.56,86.93,228.74,125.15,212.99,117.91,185.03,343.16,49.55,77.32,176.14,77.64,231.96,93.99,297.25,300.69,,,, "NAMD - Input: STMV with 1,066,628 Atoms (ns/day)",HIB,1.05274,1.10900,1.43787,2.25422,1.45223,1.88679,1.50214,1.76778,1.61232,1.11056,6.38343,3.41085,2.87877,5.27839,2.88869,5.83606,1.51901,1.46163,0.70757,0.52357,0.56717,0.57694 "Timed Gem5 Compilation - Time To Compile (sec)",LIB,210.934,178.282,187.507,157.363,220.569,184.298,215.496,181.629,219.669,275.714,161.936,176.876,185.300,164.899,212.546,192.977,242.931,251.606,252.968,267.951,238.432,233.205 "LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day)",HIB,34.892,50.521,37.460,56.400,28.278,46.705,32.157,51.816,35.701,21.379,62.000,46.891,42.507,57.099,47.986,58.839,27.532,25.334,,,, "Timed Node.js Compilation - Time To Compile (sec)",LIB,254.003,172.990,214.431,145.413,270.380,175.625,252.648,171.174,303.421,423.626,114.912,147.837,164.021,118.902,186.103,147.735,277.525,288.118,187.654,246.848,228.571,173.087 "OpenSSL - Algorithm: SHA256 (byte/s)",HIB,61806994523,119106802107,66573957920,131976050120,44439185187,88635753413,51840436763,103382860113,54530700576,27858504490,276267766403,138409588983,126475137690,251645629887,161269162280,320258686237,74584721007,67806730387,256330349777,129975994733,144163027280,287035041140 "TensorFlow - Device: CPU - Batch Size: 512 - Model: GoogLeNet (images/sec)",HIB,461.23,576.08,462.78,577.76,383.57,467.91,398.40,477.33,411.05,290.16,464.78,425.25,470.95,525.84,450.61,588.43,313.50,295.29,354.81,278.05,298.16,378.79 "FFmpeg - Encoder: libx265 - Scenario: Platform (FPS)",HIB,49.79,48.76,53.92,53.22,47.32,45.95,48.35,46.59,43.55,44.01,55.11,55.38,55.61,52.79,47.31,47.13,46.87,46.86,26.90,27.17,29.94,28.39 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS)",HIB,49.84,48.77,53.99,53.29,47.34,45.29,48.14,46.79,43.80,44.13,55.01,55.56,55.59,52.81,47.33,47.14,46.88,46.93,26.89,27.17,29.95,28.39 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,116.315,92.3473,109.670,100.738,139.096,121.670,155.788,121.780,110.970,160.527,182.268,178.032,182.017,220.351,166.793,203.571,216.703,226.626,194.107,188.300,174.140,182.361 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,8.59719,10.83623,9.11885,9.92684,7.24187,8.39962,6.54965,8.26016,9.03367,6.24740,5.49711,5.66508,5.55018,4.53817,6.01164,4.91420,4.66491,4.46533,5.15166,5.31050,5.74234,5.48343 "FFmpeg - Encoder: libx265 - Scenario: Upload (FPS)",HIB,24.97,24.56,26.93,26.80,23.33,22.34,23.77,23.30,21.73,21.96,27.43,27.61,27.66,26.41,23.36,23.28,23.25,23.27,13.90,14.01,15.47,14.87 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency (ms)",LIB,14.040,14.856,13.264,30.203,14.292,16.963,13.845,16.655,13.693,16.341,18.159,12.580,12.502,18.059,13.843,16.884,16.321,18.053,28.807,12.628,11.537,26.288 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Write (TPS)",HIB,71227,67315,75396,33110,69969,58952,72225,60046,73042,61233,55272,79492,79987,55505,72244,59228,61272,55395,34716,79191,86677,38043 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,261.97,141.54,236.73,125.87,320.11,169.44,290.56,156.70,235.31,456.81,67.52,123.90,139.25,79.05,114.76,65.58,240.13,263.76,106.48,191.20,174.49,97.18 "Numpy Benchmark - (Score)",HIB,455.57,456.18,520.22,519.89,461.61,435.21,464.72,439.84,394.71,400.64,540.96,542.15,529.80,529.03,425.46,422.76,421.99,418.89,258.49,261.19,284.33,283.52 "LuxCoreRender - Scene: DLSC - Acceleration: CPU (M samples/sec)",HIB,8.72,11.12,9.38,12.74,7.46,10.17,8.00,10.44,8.98,5.63,22.58,16.21,14.29,17.89,16.79,22.00,9.39,8.48,7.71,9.40,10.09,7.99 "OpenSSL - Algorithm: AES-128-GCM (byte/s)",HIB,768804693697,1533026300727,889567506540,1769313146013,641200848170,1277583382757,747710702660,1484669627050,807229265300,399526815427,1990352059967,996007109267,897288436123,1785006879067,1167221141870,2316611945283,539784931373,488965390857,1096082199713,565720767783,638453203763,1266882866653 "OpenSSL - Algorithm: AES-256-GCM (byte/s)",HIB,700239352717,1369534328470,744387683670,1497529939377,507456728087,1011898993323,592014115453,1181148957353,712485411447,356062040883,1714061761087,859720599963,767696553667,1526505465813,997539007873,1983103026700,462309750530,415893963207,979419388797,506301374623,568937578313,1125373041173 "OpenSSL - Algorithm: ChaCha20 (byte/s)",HIB,316126421173,624402972947,344150916937,684284382760,226597354153,449908494927,263740690067,522912403347,425451190063,212294883830,1086618191950,544904084773,503311021123,1001502634860,656396329387,1306928507573,307068938377,282053327077,352826821653,177249062183,196920683270,391911225480 "OpenSSL - Algorithm: SHA512 (byte/s)",HIB,22219927723,42846254477,23886054770,46520760707,16199261277,32304222993,18893980783,37564522053,22079539900,10980940093,91455971200,45865131913,39627575497,78822257383,52746634113,104776633047,24378460820,22194470973,78599395230,40605137923,45088755640,89194416857 "OpenSSL - Algorithm: ChaCha20-Poly1305 (byte/s)",HIB,225038850730,442202532977,223625738013,444099144270,161321058213,320396720447,187796174440,372735215297,293502122413,146156212950,767652719547,383925652077,350960998357,698925822223,457039748870,906028608990,211185661727,193305093643,240005135153,120591787257,134033039090,266583857887 "PyTorch - Device: CPU - Batch Size: 512 - Model: ResNet-50 (batches/sec)",HIB,56.44,37.55,63.30,40.83,51.05,41.65,51.86,37.84,37.45,48.99,16.82,34.69,34.65,16.24,27.53,13.76,33.76,33.18,14.81,26.91,30.87,15.97 "LuxCoreRender - Scene: LuxCore Benchmark - Acceleration: CPU (M samples/sec)",HIB,7.10,8.82,8.06,8.88,6.30,6.81,6.82,7.41,6.43,4.29,10.61,12.43,11.34,10.56,12.41,9.65,7.38,6.93,6.41,7.90,8.47,6.74 "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-152 (batches/sec)",HIB,19.41,15.77,27.21,17.57,19.99,17.91,18.07,14.86,16.68,22.27,8.35,15.86,15.57,8.27,13.05,6.64,15.25,15.11,6.47,13.39,14.53,7.10 "Xmrig - Variant: GhostRider - Hash Count: 1M (H/s)",HIB,5808.8,11263.2,8378.3,16324.7,5446.8,10975.8,6122.3,12115.0,5230.9,2593.2,31157.8,15786.6,14207.7,26702.7,9320.5,17873.1,4660.0,4564.3,10431.6,5315.7,5753.9,11147.2 "LuxCoreRender - Scene: Orange Juice - Acceleration: CPU (M samples/sec)",HIB,13.46,18.70,14.74,19.91,11.86,16.91,12.50,16.64,14.31,8.82,33.08,24.69,21.32,29.61,23.76,32.26,13.81,13.00,16.88,15.90,15.83,17.45 "OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,21.8932,38.2269,30.6799,53.9348,16.0869,29.3496,18.4851,33.1275,17.6222,9.70022,55.2576,32.5232,28.0689,47.5267,35.1464,56.4485,17.9448,16.4505,32.7979,19.4251,21.5147,36.2464 "RocksDB - Test: Read While Writing (Op/s)",HIB,7841738,12321300,8926893,12425519,7439663,9624417,7366500,11223329,9836689,5539870,19851664,14158419,14608544,20108289,15776186,22900152,9333645,8934176,24466143,11340389,11864815,27059786 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,29.4080,29.7536,29.0185,28.8481,33.3341,36.2283,33.9877,36.0039,29.7645,28.0181,22.7886,21.5784,23.9198,25.3171,26.4458,27.8975,27.9281,26.8290,47.1977,41.0833,36.7834,43.8068 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,34.0021,33.6082,34.4595,34.6628,29.9973,27.6074,29.4250,27.7772,33.6027,35.6875,44.0635,46.8764,42.0692,39.8035,37.9585,35.8712,36.0772,37.5302,21.1982,24.3394,27.1844,22.8289 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Execution Time (sec)",LIB,420.6467,196.49644,302.0641,137.03802,440.83113,201.10956,410.29005,186.32539,362.5935,798.34986,93.568115,178.25382,325.42331,124.29946,449.46597,137.11385,691.64224,690.73503,,,, "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Mesh Time (sec)",LIB,160.72685,162.02669,148.40248,139.61713,153.12467,134.78213,150.66848,159.31171,162.32335,182.23572,135.5163,118.54229,136.39912,140.48261,167.40625,192.41705,163.69864,188.37105,,,, "Timed LLVM Compilation - Build System: Ninja (sec)",LIB,187.017,122.314,165.048,106.815,212.482,134.419,197.844,128.066,194.382,298.409,89.275,124.455,135.666,94.810,146.761,101.561,205.014,215.925,138.566,184.202,169.447,125.274 "Memcached - Set To Get Ratio: 1:100 (Ops/sec)",HIB,4481667.95,3245908.40,4752673.79,3780240.56,4384040.52,3373323.92,4315467.17,3392842.38,4814941.53,4826284.80,8683410.79,8634258.39,8220895.45,8498306.78,7736018.74,7645325.70,6198256.72,5820618.18,1783869.96,2299150.51,2339570.28,1821144.00 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,3.17002,5.62517,3.18392,5.83954,3.02897,5.74491,3.37034,6.17796,4.49317,2.98306,7.09682,4.10914,4.46135,7.55558,6.22791,8.51808,4.57029,4.74221,12.4345,7.68977,6.97509,11.4820 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,315.410,177.763,314.057,171.231,330.104,174.677,296.799,161.886,222.522,335.152,141.830,243.340,225.308,133.485,160.904,117.617,219.058,211.187,80.4199,130.062,143.355,87.0867 "NAMD - Input: ATPase with 327,506 Atoms (ns/day)",HIB,2.97021,2.21948,4.64814,5.85267,5.97130,7.30065,5.92501,2.56319,6.72663,3.60479,20.75259,9.33534,8.18275,17.81105,7.99756,18.97454,5.70672,5.44971,2.55400,3.76811,3.76348,2.39770 "Speedb - Test: Read While Writing (Op/s)",HIB,10695360,17297027,12168413,17585737,8795408,13859254,9988176,15354400,11795318,7147120,33307574,19595777,18024993,30324596,22829426,36593204,12053901,11882103,27630781,17548934,17945745,27657776 "PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-50 (batches/sec)",HIB,56.01,37.08,63.06,40.77,51.55,42.35,51.35,38.30,37.75,48.99,17.28,34.71,35.01,17.07,27.68,13.68,33.49,33.23,14.84,26.89,30.69,16.10 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,18.9319,27.5944,15.0376,26.0866,21.2179,24.6510,23.6625,29.4448,21.9564,19.6035,42.8879,24.1097,25.4789,42.5137,32.4744,55.9158,32.9201,32.2294,179.144,106.688,96.6870,167.974 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,52.8167,36.2493,66.5162,38.4240,47.2703,40.5671,42.2747,33.9621,45.5414,51.0172,23.4960,41.4745,39.2586,23.5786,30.8572,18.0133,30.3743,31.0644,5.58241,9.37294,10.3425,5.95283 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,49.6376,60.3589,39.7451,44.5996,47.2417,60.1120,49.9740,55.9019,54.2832,48.4700,90.0621,71.5564,72.1232,93.8340,87.6552,93.6360,80.7232,86.6515,155.900,124.064,111.874,141.574 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,20.1453,16.5705,25.1591,22.4251,21.1702,16.6394,20.0103,17.9873,18.4222,20.8723,11.2707,13.9745,13.8647,10.6615,11.4182,10.75188,12.3884,11.5447,6.60471,8.06013,8.93833,7.31285 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,1.17292,1.43573,1.10042,1.32454,1.37831,1.65270,1.41662,1.71875,1.42849,1.17561,2.24645,1.48596,1.66046,2.25020,2.61653,3.16441,2.25716,2.23868,3.61920,2.24323,2.07288,3.41537 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,852.326,696.980,908.187,754.805,728.469,604.755,705.606,581.769,701.724,849.559,446.805,672.916,604.045,444.847,382.103,316.113,443.058,446.689,276.235,445.623,482.209,292.791 "Llamafile - Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPU (Tokens/sec)",HIB,5.85,3.82,4.08,3.05,1.47,1.77,1.54,1.54,3.10,4.41,5.24,8.48,8.35,5.24,7.47,4.63,5.16,5.11,2.56,5.39,5.58,2.67 "Timed Godot Game Engine Compilation - Time To Compile (sec)",LIB,140.233,118.572,122.718,103.376,149.378,123.882,143.808,122.704,151.537,187.875,96.161,103.352,111.688,102.583,128.279,126.112,154.010,159.624,160.462,165.409,152.229,148.993 "PyTorch - Device: CPU - Batch Size: 256 - Model: ResNet-50 (batches/sec)",HIB,54.84,37.44,63.60,41.45,52.97,41.68,51.56,37.91,36.97,48.89,16.97,34.90,34.90,17.41,27.78,13.11,33.68,33.30,14.67,26.82,30.86,16.22 "OpenRadioss - Model: INIVOL and Fluid Structure Interaction Drop Container (sec)",LIB,140.43,107.36,128.74,100.00,160.56,114.29,146.03,110.56,135.56,204.21,79.42,94.76,100.24,85.89,106.54,90.85,176.87,187.03,,,, "QMCPACK - Input: Li2_STO_ae (Execution Time - sec)",LIB,109.30,101.629,105.98,97.911,121.19,102.12,117.81,106.27,131.37,163.75,91.966,97.004,108.02,102.98,110.80,111.15,137.23,151.27,,,, "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,329.036,352.738,302.266,327.875,380.902,460.673,382.109,475.254,345.938,363.351,1165.93,801.961,800.231,1094.256,319.348,397.429,388.743,443.961,608.094,562.398,515.079,587.000 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,3.03922,2.83498,3.30836,3.05085,2.62544,2.17463,2.61721,2.10480,2.89253,2.75242,0.857685,1.25179,1.25135,0.917043,3.13156,2.51709,2.57278,2.25453,1.64674,1.77809,1.94144,1.70365 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,1.27368,1.76353,1.20298,1.64919,1.45280,2.02659,1.47249,2.08780,1.55821,1.30173,3.21781,1.69307,1.70579,3.17064,2.21020,3.69602,1.82443,1.80573,12.3021,5.66426,5.24051,12.1268 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,784.304,566.377,830.725,605.589,687.671,492.885,678.483,478.467,641.001,767.476,310.591,590.707,586.178,315.355,452.323,270.631,547.524,553.471,81.2572,176.643,190.782,82.4421 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,2.79694,3.46571,2.16966,2.80263,4.57581,5.02267,4.64757,5.39123,3.43125,3.34966,3.80792,3.57543,5.34656,5.98436,7.63337,7.84065,7.87325,7.86015,6.14327,4.80725,4.59703,4.74859 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Standard (Inferences/sec)",HIB,357.355,288.471,460.775,356.764,219.532,199.079,215.127,185.46,292.517,298.673,263.524,279.641,187.012,167.107,131.004,127.537,127.085,127.208,178.1131,207.942,217.445,210.365 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,100.39,45.78,39.62,43.41,41.93,42.16,59.69,64.91,113.70,236.81,43.77,110.91,157.45,63.98,230.24,85.86,161.48,156.59,293.02,283.83,266.91,274.52 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,298.56,654.84,403.20,736.23,285.95,568.81,301.30,569.60,175.72,84.30,1095.79,433.06,306.27,750.11,283.18,750.96,197.91,204.05,245.27,126.64,134.77,261.64 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,4.49976,5.55101,3.69649,4.29531,5.67700,7.04111,5.91961,7.53259,5.16480,4.80418,6.17190,6.16668,7.88584,9.74614,11.1392,11.5774,11.2047,11.2864,7.32610,7.16440,6.74630,10.58571 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,222.029,180.032,270.329,236.648,176.333,141.954,168.859,132.712,194.149,207.934,161.947,162.092,126.816,102.572,89.7350,86.6864,89.2081,88.5688,136.391,139.454,148.107,103.8947 "TensorFlow - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec)",HIB,448.46,528.93,423.59,501.39,375.73,447.50,386.00,449.91,402.78,290.27,391.40,406.58,447.61,401.84,462.79,397.44,308.46,287.42,301.46,260.83,281.62,335.38 "OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,21.9324,38.2235,30.8404,54.1195,16.0502,29.5018,18.5533,33.1125,17.8269,9.77764,55.3382,32.5188,28.0956,47.6143,35.2461,56.6936,17.9668,16.4504,32.9663,19.5159,21.6222,36.5043 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,50.3522,64.2858,43.5355,58.9394,54.9599,69.4501,59.1795,69.2014,60.9282,49.3862,137.989,102.734,101.4686,155.960,120.556,148.208,112.728,114.311,133.356,78.7302,72.3120,122.751 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,19.8593,15.5555,22.9689,16.9672,18.2179,14.4831,16.9166,14.4583,16.4123,20.2495,7.24869,9.73685,9.86018,6.41229,8.29533,6.74977,8.87446,8.75233,7.49940,12.7015,13.8295,8.14615 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,4.39649,4.72530,3.85774,3.98013,4.58912,4.85818,4.67269,5.00222,5.29844,5.05427,8.39969,8.13326,8.15092,10.4344,9.42177,10.23106,9.38681,9.71131,16.8062,16.8631,15.1057,15.1274 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,227.423,212.924,259.186,251.305,217.880,205.885,213.985,199.896,192.810,197.852,119.5585,122.948,122.683,95.8372,106.130,98.6374,106.526,102.966,59.4983,59.2989,66.1971,66.1772 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,58026,33411,50798,24249,68973,38926,62540,36179,55247,103461,17855,38645,43290,20750,37383,16960,72051,78093,62449,88579,81003,56082 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,68006,38813,59522,33391,80742,45211,73366,41971,64188,121734,20893,44349,50019,27943,42945,20071,84261,91643,71583,101444,92175,66487 "Zstd Compression - Compression Level: 19 - Decompression Speed (MB/s)",HIB,1032.0,963.6,1221.8,1165.8,1126.4,1040.2,1127.5,1039.2,900.5,1032.4,1392.5,1385.3,1388.9,1382.1,1139.9,1139.0,1118.8,1144.8,721.4,743.5,816.7,774.4 "Zstd Compression - Compression Level: 19 - Compression Speed (MB/s)",HIB,14.6,15.2,18.0,17.8,14.4,13.8,14.5,13.3,14.3,13.7,16.8,17.2,17.2,17.0,13.8,13.7,13.9,13.8,10.6,10.6,11.5,11.6 "Speedb - Test: Random Read (Op/s)",HIB,276179617,551286958,315178381,586147871,211457048,419943570,244070674,497907490,259136466,130359145,1059546533,537633034,428557054,857687179,589951070,1169947385,274091778,242940110,1158496546,596955494,673159217,1324163340 "VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,6.719,6.480,7.392,6.960,6.324,6.023,6.501,6.077,5.877,5.583,,7.547,7.431,,6.465,,6.118,6.000,,4.052,4.440, "Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s)",HIB,1069.1,992.1,1242.6,1189.7,1131.1,1041.8,1133.3,1046.0,912.9,1018.3,1321.4,1324.9,1328.5,1324.6,1102.2,1104.2,1101.4,1096.5,701.2,739.1,797.7,753.2 "Zstd Compression - Compression Level: 19, Long Mode - Compression Speed (MB/s)",HIB,7.94,8.16,9.80,9.67,7.76,7.62,7.72,7.46,7.83,7.52,8.42,8.45,8.38,8.30,6.68,6.64,6.76,6.74,5.60,5.65,6.19,6.10 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.43,0.29,0.49,0.46,0.33,0.28,0.37,0.30,0.45,0.56,0.35,0.45,0.48,0.35,0.73,0.41,0.53,0.6,1.20,1.36,1.25,1.09 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,115106.30,189893.31,81279.79,128566.81,135075.07,174862.56,140144.01,176900.32,151627.42,61956.93,178488.03,138605.52,133779.62,172688.50,132973.43,166151.42,87511.11,78334.92,75761.50,84584.13,91273.02,76895.29 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,1657,894,1441,759,1988,1049,1792,961,1553,3052,561,1037,1180,661,954,531,2043,2240,1497,2318,2090,1342 "TensorFlow - Device: CPU - Batch Size: 1 - Model: ResNet-50 (images/sec)",HIB,10.53,4.39,6.43,3.85,11.29,5.11,9.99,4.37,9.13,17.82,3.92,8.96,9.01,3.66,6.19,2.47,10.79,10.70,1.76,4.67,5.02,1.99 "TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,120.93,115.47,91.51,94.66,104.23,111.71,103.56,107.30,108.32,90.72,86.08,104.52,114.63,82.94,106.14,67.08,87.31,80.86,61.48,71.41,76.37,68.52 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,62.46,37.58,26.85,28.17,28.73,29.98,38.50,41.57,70.95,127.89,43.17,83.11,91.16,48.43,102.84,56.73,100.67,109.00,294.69,259.66,240.38,271.14 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,477.77,793.64,592.20,1128.78,415.96,795.63,467.08,889.18,281.36,156.13,1110.49,576.98,525.88,990.16,621.42,1127.05,317.38,293.07,243.76,138.53,149.63,264.66 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,3.19298,6.39031,3.23780,6.49693,3.13366,6.00525,3.32030,6.51744,5.18070,3.17360,9.95245,5.59491,5.25321,9.96245,6.52367,11.3148,4.82506,4.92653,36.4009,17.9000,15.5856,35.2266 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,313.100,156.461,308.801,153.922,319.043,166.485,301.136,153.407,192.993,315.030,100.4600,178.698,190.382,100.3586,153.246,88.3741,207.336,203.055,27.4727,55.8622,64.1584,28.3969 "OpenVINO - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (ms)",LIB,13.95,15.96,9.40,13.15,11.37,17.15,12.72,18.72,26.33,25.91,22.20,13.52,16.32,23.12,22.67,28.10,17.30,18.49,340.26,82.12,75.22,293.36 "OpenVINO - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (FPS)",HIB,4209.10,7356.63,6757.26,9360.89,4208.49,5565.23,4386.48,5933.65,2963.82,1525.57,8231.72,6963.31,5697.51,7810.65,5310.07,6513.36,3636.33,3405.94,843.92,1747.50,1906.99,978.46 "libavif avifenc - Encoder Speed: 0 (sec)",LIB,69.931,67.375,64.475,60.526,76.915,69.647,73.060,68.437,88.065,100.461,63.404,61.629,61.992,62.887,73.271,74.689,75.864,78.241,143.797,140.859,126.966,129.910 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,3.06500,4.05881,2.15980,2.81739,2.97094,4.05270,2.88734,3.95819,4.00675,3.54242,3.61792,2.23922,2.66711,3.68001,3.12904,3.98735,3.91006,3.92455,10.8066,4.20355,4.06272,10.5883 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,326.143,246.335,462.855,354.754,337.004,246.680,346.213,252.671,249.484,282.252,276.207,446.303,374.745,271.620,319.452,250.634,255.671,254.727,92.5083,237.803,246.037,94.4247 "ASKAP - Test: tConvolve MPI - Gridding (Mpix/sec)",HIB,21314.2,41773.0,37265.9,72004.0,21766.5,42939.2,23250.2,45195.1,14497.3,9623.77,121976.9,74389.0,46233.7,86757.7,28854.3,54066.0,16573.2,16399.7,,,, "ASKAP - Test: tConvolve MPI - Degridding (Mpix/sec)",HIB,17891.6,34614.1,31177.2,59139.2,18522,36900.5,20561.4,40368.6,12800.4,8429.13,123480,64260.2,42172.4,81025.8,28476.6,52639.5,16704.4,15903.4,,,, "Helsing - Digit Range: 14 digit (sec)",LIB,93.348,50.831,89.070,48.091,123.832,65.026,107.237,58.248,82.959,165.785,30.694,56.912,62.173,33.675,48.849,26.776,105.676,120.560,58.957,115.462,103.863,53.015 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,31380,14138,23125,12124,37055,16645,33790,15357,30442,54456,8916,16603,18896,10428,15286,8413,38811,42513,38228,52083,46875,35081 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,36649,16837,31993,14358,42837,19701,39238,18111,34866,63035,10514,19535,22305,12427,18129,10015,45377,48844,43906,57657,52501,39283 "CloverLeaf - Input: clover_bm64_short (sec)",LIB,39.48,26.58,39.38,31.90,41.43,32.25,42.22,32.44,35.29,60.89,22.83,42.17,46.50,30.05,48.36,27.74,57.38,57.54,28.99,38.01,38.01,28.92 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,1977,1063,1709,898,2357,1237,2123,1143,1833,3616,660,1225,1391,780,1130,630,2421,2649,1832,2731,2472,1631 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,55.99,65.02,55.07,57.13,55.74,56.71,62.53,62.11,16.84,31.05,11.95,21.63,27.46,14.30,38.21,15.84,31.99,34.76,41.50,38.87,35.30,37.17 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,1068.43,1843.61,1159.66,2237.69,860.64,1691.79,894.87,1801.89,1186.24,642.44,4013.96,2212.41,1743.49,3353.73,1671.23,4032.66,998.09,918.53,1731.50,924.90,1018.18,1933.08 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,21.3436,34.3054,16.5534,31.7907,24.5535,30.4733,23.6565,34.2507,25.9813,22.5854,66.4355,33.4994,34.1636,66.6285,40.6330,83.7660,36.6119,38.1027,285.988,160.128,146.779,266.104 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,46.8491,29.1487,60.4094,31.4589,40.7289,32.8141,42.2711,29.1955,38.5025,44.2748,15.0516,29.8493,29.2690,15.0082,24.6095,11.9382,27.3128,26.2475,3.49785,6.24521,6.81330,3.76003 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,36.20,25.12,21.87,22.96,23.12,24.00,24.94,25.72,60.90,62.64,33.18,32.00,34.92,36.90,38.85,39.86,41.38,45.71,180.29,172.72,153.76,157.28 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,1643.43,4744.05,2924.66,5570.63,2074.30,3998.02,2243.84,4351.59,1313.39,637.76,5766.62,2986.33,2739.01,5178.29,3280.25,6400.94,1542.61,1396.78,1593.88,832.29,934.97,1826.82 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,17.84,21.73,13.73,14.67,16.33,17.19,19.44,20.24,4.54,9.26,4.08,7.85,8.58,4.46,10.97,5,10.78,11.48,16.28,15.11,14.01,14.30 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,3325.90,5483.81,4656.92,8719.37,2935.47,5576.86,2877.32,5525.56,4390.81,2120.33,11735.42,6017.19,5528.15,10708.91,5778.51,12750.59,2943.08,2763.48,4376.09,2366.83,2553.55,4992.78 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,30.9165,33.2899,29.9566,31.5324,35.0665,40.4534,35.1110,40.5178,38.5179,35.6049,41.5696,34.8126,33.5209,39.0176,36.4460,38.0000,35.7943,35.8831,56.7734,42.9016,38.4197,54.2543 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,32.3433,30.0368,33.3797,31.7109,28.5164,24.7274,28.4798,24.6818,25.9606,28.0886,24.0540,28.7250,29.8381,25.6265,27.4471,26.3257,27.9362,27.8703,17.6172,23.3078,26.0268,18.4295 "TensorFlow - Device: CPU - Batch Size: 512 - Model: AlexNet (images/sec)",HIB,1278.45,1899.64,1486.12,2039.63,1047.96,1604.11,1108.95,1677.62,1470.46,883.00,1897.64,1392.91,1363.33,1862.79,1620.53,1876.66,875.23,796.82,979.89,677.40,732.79,1064.18 "QuantLib - Configuration: Multi-Threaded (MFLOPS)",HIB,179647.5,350187.5,195648.8,380867.5,143755.3,288129.1,162727.4,316359.2,182366.9,91036.5,644091.0,319827.2,294183.2,593246.9,374413.5,759922.1,172566.8,153920.8,456271.0,233836.3,262432.6,519392.2 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,356.38,283.11,224.64,234.24,236.52,256.63,257.50,278.52,207.84,415.89,233.63,471.98,510.10,253.63,551.07,275.53,592.22,654.83,719.83,692.79,618.97,630.23 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,167.83,423.18,284.64,545.21,202.59,373.50,217.11,401.45,96.08,47.99,205.03,101.51,93.99,188.74,115.78,231.83,53.89,48.73,99.72,51.85,58.06,113.68 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,24.6445,42.8188,27.1010,48.7576,19.9102,35.9324,22.3625,39.3389,22.5081,11.8638,60.3748,34.6447,30.6073,52.6741,37.7381,63.8459,18.4705,16.9200,21.2227,12.1737,13.4018,23.1163 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,87.92,46.38,80.29,41.85,106.96,55.26,97.80,51.29,76.10,150.39,23.84,44.87,48.88,26.35,39.83,21.66,85.12,94.41,35.11,65.67,60.11,31.28 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,16.50,15.04,11.17,11.69,12.54,13.34,13.59,14.42,9.82,18.08,4.91,8.48,9.47,5.20,11.35,6.27,11.22,12.67,26.12,25.33,23.49,24.24 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,3606.12,7862.58,5725.03,10934.17,3802.61,7127.28,4093.73,7689.32,2030.97,1100.18,9752.89,5608.07,5024.32,9203.19,5594.81,10182.16,2830.12,2506.10,2743.39,1414.86,1525.26,2957.69 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,62.1276,68.8299,50.8307,64.7891,61.2547,72.8018,63.5353,73.9684,66.9136,59.9353,114.158,81.4319,81.6041,113.517,103.597,125.244,102.0503,112.760,149.994,116.644,105.223,140.07 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,16.0956,14.5280,19.6773,15.4341,16.3251,13.7366,15.7394,13.5190,14.9460,16.6863,8.75971,12.2807,12.2549,8.80930,9.65296,7.98402,9.8009,8.87144,6.66718,8.57286,9.50353,7.13917 "OpenVINO - Model: Person Re-Identification Retail FP16 - Device: CPU (ms)",LIB,9.79,7.72,6.72,6.95,7.13,7.32,7.76,7.97,24.39,23.25,3.78,6.93,7.23,3.98,8.03,4.37,8.59,9.46,18.75,17.81,16.36,16.73 "OpenVINO - Model: Person Re-Identification Retail FP16 - Device: CPU (FPS)",HIB,5943.66,15519.92,9515.86,18375.63,6717.65,13102.28,7207.74,14033.94,3263.03,1698.05,12665.62,6846.79,6554.12,12024.18,7862.65,14601.52,3692.67,3355.73,3787.94,2006.00,2179.99,4259.99 "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec)",HIB,51.46,35.53,77.52,45.69,50.99,46.49,48.59,35.46,42.64,61.32,19.84,41.17,40.45,19.34,31.62,14.90,41.11,40.97,16.45,32.45,35.85,17.91 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,3.58,2.50,2.36,2.48,2.50,2.53,2.67,2.79,8.27,8.58,9.25,9.42,10.09,10.17,10.92,11.20,11.78,13.11,28.24,27.01,24.25,24.77 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,15943.17,47654.95,26943.42,48122.16,19183.83,37710.60,20910.53,40032.81,9657.08,4502.74,20550.93,9997.89,9356.71,18666.16,11508.19,22499.03,5366.79,4830.01,10020.91,5278.46,5866.63,11390.04 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,5.21520,6.90619,4.01687,5.10948,5.22781,7.34848,5.29027,7.30822,6.50747,5.54379,9.06607,6.18478,6.37780,9.12452,7.28087,10.0666,7.74521,7.70511,17.0553,7.59589,7.13535,16.5418 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,191.562,144.640,248.682,195.453,191.111,135.976,188.930,136.689,153.538,180.225,110.168,161.497,156.610,109.464,137.193,99.2182,128.982,129.646,58.5767,131.536,140.026,60.3883 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,6.43,5.72,5.19,5.18,5.27,5.55,5.77,6.02,5.93,6.56,5.34,5.41,5.85,5.98,6.25,6.6,6.77,7.60,19.23,18.20,16.41,16.98 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,9004.23,20937.58,12317.94,24676.86,9087.12,17252.27,9686.39,18561.91,13467.28,5913.04,35809.59,17230.35,16038.90,31974.88,19917.54,38546.66,9256.11,8279.63,14551.12,7721.00,8536.39,16394.06 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,55.1204,78.3989,47.8953,70.4377,61.8256,76.4227,61.0107,79.3770,70.3409,56.5802,158.265,102.035,102.191,157.505,115.790,179.989,114.174,118.023,217.929,140.144,129.940,219.173 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,18.1413,12.7546,20.8795,14.1980,16.1742,13.0869,16.3898,12.5974,14.2169,17.6747,6.31828,9.80008,9.78516,6.34891,8.63594,5.55767,8.75814,8.47283,4.58960,7.13587,7.69583,4.56278 "GraphicsMagick - Operation: Noise-Gaussian (Iterations/min)",HIB,158,182,171,194,150,150,158,164,153,121,179,165,160,178,151,164,123,120,118,145,155,126 "GPAW - Input: Carbon Nanotube (sec)",LIB,47.776,41.563,43.048,38.049,54.376,42.873,48.487,43.911,48.453,76.175,24.134,30.001,34.866,25.844,33.120,27.145,63.796,66.705,,,, "GraphicsMagick - Operation: Sharpen (Iterations/min)",HIB,157,265,167,284,114,199,130,227,144,79,297,201,173,262,207,310,112,105,336,253,281,381 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,39.450,29.981,34.591,25.872,43.421,32.143,40.501,30.530,39.410,55.738,25.872,32.889,34.567,27.678,38.526,30.680,44.276,46.352,35.546,41.095,37.640,32.655 "GraphicsMagick - Operation: Enhanced (Iterations/min)",HIB,216,342,228,374,160,269,181,301,215,123,408,300,264,368,304,403,172,163,350,270,299,389 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,4.86604,5.29287,4.26352,4.65431,5.10914,5.74921,5.26075,5.88628,5.59763,5.67175,11.4580,9.18524,9.08955,11.5024,10.5537,12.8093,10.3026,10.3977,16.5828,14.4761,13.1789,15.2784 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,205.525,188.890,234.540,214.812,195.705,173.909,190.063,169.850,178.615,176.292,87.2579,108.868,109.998,86.9230,94.7365,78.0676,97.0508,96.1679,60.2880,69.0683,75.8650,65.4320 "GraphicsMagick - Operation: Swirl (Iterations/min)",HIB,502,617,529,689,394,509,432,558,403,278,583,546,511,553,535,567,379,363,474,504,566,517 "RocksDB - Test: Random Read (Op/s)",HIB,265366170,525049998,297517946,578392800,205346154,405533173,234469939,473755946,251234103,125584953,1031209151,523310091,409272949,815145110,573235452,1135206564,266186537,234992636,1115720742,574749552,645309483,1272907561 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (Billion Interactions/s)",HIB,86.967,140.828,108.124,191.818,70.213,127.845,78.105,133.990,97.075,49.203,309.219,187.684,171.771,291.278,232.749,288.537,107.715,97.978,78.235,39.348,43.728,86.884 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (GFInst/s)",HIB,2174.192,3520.705,2703.088,4795.462,1755.333,3196.123,1952.606,3349.756,2426.881,1230.080,7730.471,4692.106,4294.283,7281.958,5818.736,7213.433,2692.873,2449.454,1955.881,983.707,1093.206,2172.103 "Coremark - CoreMark Size 666 - Iterations Per Second (Iterations/Sec)",HIB,2194630.600449,3902076.243612,2369998.356940,4966250.777983,1614763.703237,2993136.601832,1855135.326098,3279262.530349,1839444.396311,1218453.342873,8448083.729980,4152864.875380,3926265.277120,7975907.450649,4525288.003014,8171241.708512,2274636.131544,2069432.528093,6575205.538646,2915609.747368,3340274.034309,7302247.138206 "srsRAN Project - Test: PDSCH Processor Benchmark, Throughput Total (Mbps)",HIB,24688.5,30108.7,26378.1,30547.6,21286.6,30236.0,15081.0,11866.7,18943.6,13537.7,25977.4,29384.9,27695.2,22931.8,25194.6,29877.1,19375.9,19485.8,31677.2,27281.9,29804.4,33010.5 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,68.61,35.91,63.61,33.61,86.67,44.71,76.87,40.38,62.54,124.63,18.67,35.66,40.26,21.12,31.65,16.82,67.67,75.26,27.41,52.47,48.07,24.61 "Aircrack-ng - (k/s)",HIB,147469.328,53914.933,153584.203,64181.293,117588.992,83665.758,134048.964,65663.823,159709.747,101665.469,,206619.292,186675.432,,177989.891,,153818.031,141831.776,,114715.789,116716.401, "WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (MP/s)",HIB,0.52,0.51,0.60,0.59,0.55,0.54,0.55,0.54,0.49,0.50,0.56,0.57,0.57,0.57,0.48,0.48,0.48,0.48,0.35,0.35,0.39,0.38 "libavif avifenc - Encoder Speed: 2 (sec)",LIB,37.752,37.311,34.791,33.650,41.125,38.653,39.876,38.136,47.505,52.227,35.316,34.044,34.148,35.402,40.351,41.916,41.657,42.605,79.200,76.474,69.343,71.968 "srsRAN Project - Test: PUSCH Processor Benchmark, Throughput Total (Mbps)",HIB,2616.9,4853.6,3088.7,5493.4,2170.7,3787.0,2514.0,4386.6,3288.4,1770.0,6999.7,5656.9,5239.6,6835.7,5973.8,8396.7,3193.0,2818.5,3067.0,1953.1,2118.6,3414.2 "Llamafile - Test: llava-v1.5-7b-q4 - Acceleration: CPU (Tokens/sec)",HIB,20.95,10.44,16.61,7.49,7.67,7.77,8.13,7.26,12.29,19.11,14.29,25.38,25.75,14.47,20.64,10.94,21.00,20.65,2.83,8.56,9.60,2.99 "LULESH - (z/s)",HIB,23072.302,43724.062,38433.973,70826.734,23848.540,52102.668,25831.838,53269.469,21389.823,17348.429,54678.485,27287.261,26082.711,48760.815,24218.831,46126.080,16949.591,16855.891,42946.258,26024.602,26864.110,44136.525 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,287862,557054,338146,573410,207738,401707,243347,469131,366534,188345,1116465,716065,642626,1033277,780871,1340226,367989,338355,767313,421063,463768,846335 "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,388190,592729,441636,674239,314716,491729,342363,525514,391719,243732,741366,579112,549500,761734,575440,776968,331357,319094,591835,413851,438048,611200 "Algebraic Multi-Grid Benchmark - (Figure Of Merit)",HIB,1605097000,3124402667,1814760000,3609646333,1588496667,3156261667,1597993333,3205161000,723153533,1073627667,4467281333,2376149000,2282802000,4324930333,2275352667,2783039083,1150052667,1147108000,,,, "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,16882333,16843333,18774333,18200533,16906333,16904667,16885333,16884000,13599000,13608333,13083133,13387333,13394667,13390667,11174500,11273667,11290000,11236333,6280767,6284300,6983933,6969967 "NAS Parallel Benchmarks - Test / Class: EP.D (Mop/s)",HIB,7562.80,14946.76,8089.14,16004.07,5366.69,10970.45,6445.09,12793.01,8880.82,4479.28,22166.60,11424.05,10652.03,19414.94,12575.30,22017.75,6416.34,5745.04,,,, "ASTC Encoder - Preset: Very Thorough (MT/s)",HIB,7.0885,13.7518,7.6240,14.6334,5.1342,10.2051,5.9702,11.8875,4.2935,2.1596,19.4052,10.3224,9.1844,17.0098,12.3187,22.0023,5.7420,5.2406,11.3573,5.8632,6.5166,12.6220 "TensorFlow - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec)",HIB,1205.30,1730.25,1277.46,1681.44,986.04,1479.53,1058.99,1528.41,1340.34,852.14,1560.56,1301.26,1278.58,1524.74,1454.71,1403.46,843.63,771.47,857.20,609.67,668.33,1010.93 "miniFE - Problem Size: Small (CG Mflops)",HIB,35230.1,46877.5,31830.2,42114.6,20091.1,19876.5,18621.2,21583.2,31046.5,22957.3,59466.6,53167.8,50909.6,43531.0,50139.9,42113.5,24526.0,24548.8,39580.9,40441.0,40626.4,37461.1 "OpenRadioss - Model: Cell Phone Drop Test (sec)",LIB,31.49,28.22,27.90,26.88,33.75,27.51,31.92,27.63,31.17,43.45,22.52,20.45,22.53,23.53,23.69,27.86,33.23,35.95,,,, "VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,15.060,12.536,15.966,13.256,14.101,11.897,14.362,11.967,13.023,13.100,,17.016,16.730,,14.785,,13.968,13.614,,10.391,11.181, "Primesieve - Length: 1e13 (sec)",LIB,51.820,27.107,48.406,25.021,67.324,33.921,58.159,30.196,40.444,81.355,12.130,23.265,24.237,12.631,21.762,11.557,45.953,54.389,29.385,57.713,52.074,26.462 "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,8.762,15.450,10.477,18.540,7.545,13.392,8.282,14.127,8.964,4.813,22.525,15.222,12.514,20.234,13.242,21.305,6.499,6.246,,,, "ASTC Encoder - Preset: Exhaustive (MT/s)",HIB,4.2689,8.3701,4.6303,8.9091,3.1204,6.2126,3.6276,7.2075,2.6471,1.3319,11.9107,6.3027,5.6301,10.6018,7.5573,14.1038,3.5146,3.1993,7.1291,3.6505,4.0574,7.9060 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,17.85,27.65,16.64,30.37,15.17,22.25,15.68,24.65,16.19,12.56,45.26,32.74,31.44,42.03,32.44,38.12,19.25,17.80,22.03,15.65,17.29,22.59 "John The Ripper - Test: WPA PSK (Real C/S)",HIB,401278,793253,428116,797093,286552,562875,334076,657889,491583,248066,1294000,671322,643475,1253333,803187,1551000,386212,339998,367657,188925,209803,407256 "TensorFlow - Device: CPU - Batch Size: 1 - Model: GoogLeNet (images/sec)",HIB,33.56,13.50,21.67,12.69,36.13,18.24,31.47,14.67,29.18,53.38,12.83,34.20,32.80,12.42,21.00,8.10,36.66,36.48,5.88,12.40,13.14,6.72 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,67074667,66991333,73140667,70499000,67130333,67064000,67127667,66266000,53930333,54089667,55415667,55455333,55425333,54954667,46270000,46229667,46210667,45486333,33439333,33444667,37195667,37121333 "QuantLib - Configuration: Single-Threaded (MFLOPS)",HIB,3209.6,3210.1,3600.5,3586.3,3225.7,3207.0,3229.1,3222.8,2558.6,2534.5,3125.4,3114.2,3105.9,3098.5,2596.1,2590.8,2593.3,2593.0,1760.8,1765.6,1960.7,1954.2 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,744410000,799496667,783770000,883701250,632396667,732560000,689003333,757176667,646513333,503253333,849340000,850586667,811373333,824583333,709650000,709393333,633860000,577263333,349746667,359576667,398566667,384406667 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,162.474,154.502,174.832,162.979,144.698,122.617,149.996,124.263,138.722,133.188,161.339,162.475,172.875,167.223,163.413,159.746,160.785,153.417,108.293,114.542,124.597,116.618 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Slow (FPS)",HIB,15.71,24.71,16.06,27.11,13.36,19.75,13.89,22.14,13.79,10.93,43.39,29.18,28.01,40.96,29.00,37.13,17.04,15.77,20.46,13.77,15.24,21.63 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,36506000,36461000,40244000,38950600,36537667,36497667,36539000,36521333,31992000,31995000,36040000,36066000,36068333,36033000,29907333,29893333,29899667,29899333,31705667,31726000,35259000,35190667 "TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec)",HIB,380.14,331.76,319.76,291.37,333.73,341.51,335.58,308.95,347.72,282.50,248.03,330.26,354.59,227.22,314.67,176.00,276.93,256.79,168.10,214.14,232.51,190.80 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,2539200000,2655500000,2475500000,2620066667,2138766667,2494050000,2308966667,2491340000,1999266667,1469166667,2772800000,2862000000,2859833333,2730233333,2444933333,2374766667,2186833333,2026333333,1852366667,1906266667,2099033333,2036733333 "Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,918566667,1126466667,1152933333,1493833333,800186667,1091460000,882200000,1206066667,981090000,539226667,1394733333,1368733333,1158166667,1199966667,1369800000,1349800000,809916667,731756667,707053333,719626667,796340000,777940000 "Liquid-DSP - Threads: 256 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,1020833333,1616966667,1178766667,2027000000,838530000,1444066667,944550000,1518933333,1061033333,542606667,2394333333,1570400000,1362166667,2129533333,1744700000,1734800000,821013333,741740000,1306733333,848376667,940270000,1437100000 "John The Ripper - Test: bcrypt (Real C/S)",HIB,94551,183603,105781,206778,67875,133866,79144,155959,113219,56939,376268,192898,166541,320527,220188,412723,102222,93472,363133,190058,211311,402275 "Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,3181266667,3723666667,3503200000,4450525000,2670033333,3596400000,2972400000,3896500000,2689033333,1554666667,4759366667,4755333333,4256300000,4280933333,4714500000,4626566667,2982800000,2687066667,3712133333,3736300000,4136766667,4068666667 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,7.061,6.698,7.876,7.360,6.490,5.991,6.572,6.052,5.437,5.438,8.513,8.595,8.422,8.349,7.283,7.153,6.939,6.727,3.710,3.972,4.350,4.040 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,79.3805,132.2806,97.1861,173.2208,64.9597,104.8425,71.8253,112.7231,84.8010,47.6437,210.4367,133.4769,113.2783,175.5971,133.9297,200.1612,64.3253,63.3433,125.1146,76.5292,83.7321,136.2218 "John The Ripper - Test: Blowfish (Real C/S)",HIB,94513,183583,105831,205499,67893,134562,79152,156658,113223,56939,374589,192574,166541,316492,220188,415412,102198,93473,363300,190209,211449,404739 "Liquid-DSP - Threads: 256 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,3500833333,5361266667,3806833333,6284300000,2848933333,4825133333,3222533333,5036000000,3037100000,1610466667,8012700000,5811900000,5266466667,7411866667,6401366667,6316266667,3116933333,2793700000,6800900000,4259433333,4714700000,7597566667 "Liquid-DSP - Threads: 256 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,3243800000,6116566667,3167200000,6077300000,2381800000,4670966667,2769066667,5367033333,3572233333,1823566667,7935266667,5862466667,5271933333,7513333333,6588200000,6439000000,3062200000,2789600000,6821533333,4301166667,4799133333,7546366667 "Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,3200600000,3558600000,3148233333,3520766667,2351900000,3254033333,2739633333,3337066667,3044700000,1797400000,4407900000,4353533333,4032733333,4063333333,3791566667,3794133333,3047066667,2767933333,3607900000,3671966667,4102200000,4021033333 "Google SynthMark - Test: VoiceMark_100 (Voices)",HIB,711.378,712.697,799.717,799.491,711.101,710.916,712.013,712.085,548.362,555.597,783.200,783.422,783.778,782.322,655.795,655.046,655.239,656.250,494.379,494.046,540.240,538.908 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,1890566667,2025000000,1927766667,2154633333,1640266667,1963233333,1679700000,2090466667,1731166667,1561766667,2279300000,2287466667,2282766667,2282066667,1898766667,1894966667,1871333333,1776866667,1780533333,1841400000,2057300000,1989300000 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,49.42,54.88,35.10,53.66,39.56,44.75,40.82,46.25,40.69,30.17,55.05,62.70,62.02,53.44,54.46,46.00,50.04,44.92,27.33,40.73,44.44,28.43 "Blender - Blend File: Junkshop - Compute: CPU-Only (sec)",LIB,35.96,21.15,32.08,18.31,42.85,24.99,39.17,23.45,33.20,61.22,11.47,18.65,21.02,12.87,17.70,11.21,35.82,38.86,18.70,29.06,26.49,16.89 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,34.83,19.13,31.91,17.29,42.78,23.17,38.48,21.45,30.75,59.15,10.16,18.36,20.15,11.25,16.58,9.71,34.35,38.04,16.52,29.55,26.52,15.16 "Appleseed - Scene: Disney Material (sec)",LIB,53.490276,48.56418,48.425051,43.695399,58.379116,51.245898,56.401698,49.136175,58.376732,79.832398,,40.918961,43.454051,,45.078087,,56.417518,61.362463,,58.306715,52.321381, "TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,969.62,996.47,819.89,858.84,841.68,932.59,852.36,940.40,904.36,690.09,738.31,868.54,942.19,727.77,924.80,658.97,673.42,617.03,464.80,443.74,482.06,520.01 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,20.97,32.04,24.80,41.58,18.13,26.69,18.84,29.62,20.33,15.51,63.48,40.50,39.58,61.11,39.08,54.57,24.31,23.02,29.15,19.34,21.39,31.70 "Pennant - Test: sedovbig (Hydro Cycle Time - sec)",LIB,16.03080,11.28438,16.96910,9.964526,21.02112,13.21125,19.88246,12.10690,15.24719,25.78945,3.081108,5.460660,5.916458,3.408337,5.147658,2.940456,11.36964,12.15132,,,, "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Slow (FPS)",HIB,20.23,31.24,24.23,40.92,17.52,26.00,18.24,28.96,19.71,15.09,62.82,40.00,38.90,61.07,38.47,54.88,23.71,22.46,29.15,18.86,20.87,31.85 "srsRAN Project - Test: PUSCH Processor Benchmark, Throughput Thread (Mbps)",HIB,129.7,129.7,129.5,129.5,129.7,129.7,129.7,129.7,112.3,112.3,112.2,112.2,112.2,112.2,112.1,112.1,112.1,112.1,49.8,49.8,52.5,52.6 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,50.03,67.64,38.02,65.38,40.23,51.91,41.34,52.23,44.11,31.25,74.03,78.15,76.83,72.68,68.56,59.01,54.60,51.51,36.40,41.86,46.18,38.92 "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Execution Time (sec)",LIB,42.219419,28.556037,33.065393,23.558932,45.947435,28.993119,41.746192,27.577291,40.286404,74.956584,22.707989,28.325594,32.591783,25.005632,33.814223,24.570122,58.169235,59.266377,,,, "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Mesh Time (sec)",LIB,31.384585,35.604097,31.704905,29.325125,31.781874,32.481993,31.998248,28.840157,36.862116,39.117914,26.823627,25.931646,28.031022,27.737712,30.381372,29.474484,33.673162,36.823441,,,, "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,70.908,65.224,79.437,70.426,62.750,54.823,65.359,55.979,59.097,55.238,87.824,86.298,87.993,86.341,78.739,77.596,68.188,64.787,42.857,46.483,50.822,47.253 "Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,1.29,2.18,1.58,2.40,1.08,1.72,1.14,1.74,1.48,0.86,1.64,1.28,1.31,1.67,1.50,1.71,0.86,0.80,1.51,0.98,1.07,1.68 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,25.89,13.74,23.72,12.76,31.66,16.55,28.49,15.29,23.67,46.32,7.75,14.29,15.96,8.61,12.86,7.17,27.12,30.07,10.56,19.85,17.61,9.71 "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (Billion Interactions/s)",HIB,82.848,133.628,106.395,199.734,63.620,108.397,70.843,114.902,85.289,47.260,236.610,151.948,136.945,217.846,229.913,214.617,107.353,98.207,76.602,39.171,43.553,84.347 "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (GFInst/s)",HIB,2071.189,3340.694,2659.883,4993.343,1590.501,2709.930,1771.065,2872.562,2132.235,1181.494,5915.253,3798.695,3423.634,5446.161,5747.823,5365.421,2683.831,2455.163,1915.041,979.279,1088.833,2108.675 "x265 - Video Input: Bosphorus 4K (FPS)",HIB,37.86,37.04,38.93,39.31,29.05,27.26,31.40,27.90,30.80,29.76,31.95,32.12,31.72,28.81,28.16,28.11,28.13,27.74,22.07,20.22,21.30,19.55 "Timed FFmpeg Compilation - Time To Compile (sec)",LIB,24.056,19.506,21.357,17.389,26.458,20.788,24.840,20.008,25.939,34.289,17.839,19.991,20.494,18.089,23.217,21.224,27.536,28.420,25.711,27.850,25.235,23.323 "Pennant - Test: leblancbig (Hydro Cycle Time - sec)",LIB,4.955865,2.529807,4.182707,2.159459,5.930957,2.881099,5.114161,2.527363,4.702557,11.85213,2.076835,3.360453,3.754835,2.312977,3.654303,2.084384,6.541768,6.852712,,,, "TensorFlow - Device: CPU - Batch Size: 1 - Model: AlexNet (images/sec)",HIB,56.53,37.57,35.50,30.76,48.28,37.76,43.67,33.21,37.26,42.05,19.92,26.23,32.56,19.88,35.08,18.59,34.51,34.35,16.24,29.56,31.99,18.34 "NAS Parallel Benchmarks - Test / Class: SP.C (Mop/s)",HIB,71245.26,147311.14,109416.42,228184.68,58815.36,135939.25,69776.41,141954.15,90420.25,37567.61,390520.93,225311.82,125191.11,256584.67,127519.37,214017.18,52745.64,52684.93,,,, "PyBench - Total For Average Test Times (Milliseconds)",LIB,765,767,691,692,763,763,762,763,971,973,818,818,818,822,974,972,976,974,1119,1117,1007,1005 "NAS Parallel Benchmarks - Test / Class: LU.C (Mop/s)",HIB,135125.15,261127.09,232012.77,455312.09,126171.52,246822.52,131606.86,257384.55,185954.54,98557.16,551955.55,362511.43,269047.28,472931.04,279397.45,588329.32,133284.46,130839.12,,,, "ASTC Encoder - Preset: Thorough (MT/s)",HIB,51.2971,86.9845,54.4547,97.9383,37.0051,72.3297,42.9834,83.3395,30.0309,15.5038,116.1226,73.3796,65.3025,105.4052,86.0139,121.3017,41.0225,37.9597,71.0247,40.6924,45.2100,79.2852 "NAS Parallel Benchmarks - Test / Class: IS.D (Mop/s)",HIB,2865.72,3960.28,4059.70,7437.81,3050.16,3816.70,3076.66,3819.83,3345.45,2266.32,12296.27,6346.15,5229.41,10139.69,5702.13,9771.41,2746.20,2718.94,,,, "Timed Mesa Compilation - Time To Compile (sec)",LIB,19.226,18.293,17.258,16.183,20.175,18.474,19.650,18.138,21.437,23.658,16.401,16.668,16.963,16.409,19.906,19.558,21.035,21.530,25.879,25.885,23.405,23.456 "Xcompact3d Incompact3d - Input: input.i3d 193 Cells Per Direction (sec)",LIB,12.9293413,6.39169817,10.1967066,5.39125967,13.9692376,7.29349117,12.7997582,6.66387510,11.2498016,23.9708284,3.75319901,6.88121279,8.25383511,4.26078596,8.87225914,4.51061893,20.9379139,21.1780307,,,, "Y-Cruncher - Pi Digits To Calculate: 1B (sec)",LIB,7.047,5.008,6.701,5.110,8.300,6.334,7.959,6.266,7.744,10.712,8.992,7.471,6.743,8.196,6.928,7.915,10.205,10.427,7.967,11.198,10.386,7.468 "Timed ImageMagick Compilation - Time To Compile (sec)",LIB,14.724,13.262,12.595,11.493,16.075,14.402,15.376,14.094,16.334,18.844,11.720,12.199,13.471,12.749,16.388,15.810,17.917,18.175,20.588,20.908,19.203,18.851 "m-queens - Time To Solve (sec)",LIB,15.211,7.881,14.257,7.402,21.030,10.840,18.102,9.285,12.390,24.175,4.133,6.950,7.738,4.609,6.350,3.981,13.250,14.493,6.045,11.479,10.301,5.512 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,2.71,4.48,3.32,5.09,2.27,3.49,2.39,3.66,3.10,1.81,3.47,2.66,2.73,3.49,3.16,3.57,1.80,1.69,2.97,1.93,2.11,3.31 "Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,2.71,4.41,3.31,5.03,2.26,3.51,2.38,3.65,3.08,1.81,3.45,2.64,2.73,3.48,3.12,3.59,1.79,1.69,2.98,1.93,2.11,3.31 "NAS Parallel Benchmarks - Test / Class: CG.C (Mop/s)",HIB,33811.63,58128.24,63760.45,98764.93,35116.55,65396.22,35234.06,66492.44,38906.13,22655.32,88487.91,62071.10,53182.77,84477.72,43799.78,63265.01,22229.94,21684.80,,,, "GNU Octave Benchmark - (sec)",LIB,7.532,8.036,6.458,6.856,7.622,12.617,7.748,12.578,9.694,9.104,6.955,6.857,7.528,7.645,8.801,8.848,8.929,8.948,12.245,10.996,10.243,11.619 "Y-Cruncher - Pi Digits To Calculate: 500M (sec)",LIB,3.267,2.364,3.391,2.659,3.781,3.110,3.704,2.961,3.724,4.874,4.510,4.312,3.850,4.329,3.968,4.100,5.077,5.165,3.629,5.177,4.770,3.411 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,91.9925,152.7472,112.6611,199.6089,75.4690,125.7494,83.4921,129.7482,99.2430,55.4208,231.4272,155.1208,132.4918,185.7110,156.3909,208.3131,75.2149,73.9073,138.8499,84.7057,92.8784,151.2481 "WebP Image Encode - Encode Settings: Quality 100, Highest Compression (MP/s)",HIB,3.08,3.07,3.47,3.46,3.10,3.09,3.10,3.09,2.81,2.82,3.62,3.61,3.62,3.62,3.04,3.03,3.03,3.03,2.23,2.23,2.49,2.47 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,70.0540,124.7084,82.9663,153.1622,58.4230,107.6299,65.3318,116.6053,82.9195,43.6733,214.0178,130.7874,110.5253,176.2061,126.1456,190.0839,62.1866,58.2776,121.4320,73.9558,81.8340,133.4150 "ASTC Encoder - Preset: Medium (MT/s)",HIB,333.9902,484.5499,327.7829,550.0168,247.2979,441.6518,284.3336,483.1049,216.9678,126.4407,508.0926,500.7673,449.1141,491.5344,527.7997,462.2382,294.6209,273.6703,338.1468,284.4616,314.6232,363.3844 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,164.250,156.516,177.861,165.495,146.097,122.089,151.718,127.546,140.756,134.072,163.795,165.753,178.516,171.218,169.230,168.779,165.089,157.362,108.495,115.345,126.585,117.681 "libavif avifenc - Encoder Speed: 6, Lossless (sec)",LIB,6.278,6.172,5.784,5.613,6.836,7.121,6.605,7.038,7.388,8.201,5.950,5.757,5.799,5.846,6.853,6.986,7.182,7.301,9.960,9.188,8.359,9.351 "ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,23.543705,45.965955,29.141078,58.253340,19.768930,39.345732,22.539990,44.668302,24.974104,13.494557,78.496158,45.245794,39.086262,68.868505,44.970826,84.688594,21.817577,20.997732,31.478557,15.941604,17.853682,35.196692 "libavif avifenc - Encoder Speed: 10, Lossless (sec)",LIB,4.923,5.074,4.456,4.579,4.916,5.317,4.867,5.311,5.919,5.906,4.943,4.770,4.792,4.829,5.662,5.740,5.735,5.734,8.094,7.507,6.849,7.603 "NAS Parallel Benchmarks - Test / Class: MG.C (Mop/s)",HIB,83448.70,163333.21,107321.89,220893.78,85910.95,172614.10,86407.46,171436.47,110742.15,57317.66,244738.81,134994.14,116725.04,194942.32,125567.07,245447.72,63930.64,62449.55,,,, "srsRAN Project - Test: PDSCH Processor Benchmark, Throughput Thread (Mbps)",HIB,680.2,675.5,742.9,755.5,702.6,651.9,705.5,663.8,490.3,484.8,664.7,680.7,684.7,673.4,596.2,576.8,557.9,563.6,293.1,299.4,333.2,323.7 "LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,28.716,42.281,34.301,55.496,27.629,47.512,30.843,52.244,33.544,21.162,53.771,39.998,36.151,50.121,40.386,51.629,24.246,21.935,,,, "libavif avifenc - Encoder Speed: 6 (sec)",LIB,3.169,3.044,2.971,2.805,3.730,3.776,3.550,3.738,3.528,4.093,2.890,2.723,2.756,2.810,3.251,3.341,3.484,3.623,4.829,4.243,3.872,4.486 "Primesieve - Length: 1e12 (sec)",LIB,4.576,2.325,4.250,2.187,6.160,3.121,5.332,2.691,3.366,6.673,1.199,1.984,2.058,1.242,1.921,1.359,3.801,4.545,2.605,4.806,4.324,2.337 "Parallel BZIP2 Compression - FreeBSD-13.0-RELEASE-amd64-memstick.img Compression (sec)",LIB,2.144857,1.469210,1.847537,1.432362,2.632077,1.982932,2.287766,1.711296,2.181455,3.393189,1.109446,1.369063,1.422954,1.126329,1.355737,1.068398,2.200497,2.321195,1.857642,2.504621,2.279971,1.718022 "oneDNN - Harness: Deconvolution Batch shapes_3d - Engine: CPU (ms)",LIB,1.07743,0.736170,0.907161,0.624250,1.26407,0.945075,1.19643,0.864358,0.867065,1.42213,1.001914,1.11923,1.15487,1.009473,0.943621,0.829653,1.49835,1.79749,2.49734,2.29712,2.04910,2.24526 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,314.65,218.31,297.41,163.65,141.28,267.87,108.61,220.47,82.81,80.15,180.19,101.11,105.34,182.76 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,289.97,202.48,287.83,146.68,125.08,256.93,94.1,208.45,70.5,68.55,152.85,85.81,88.68,152.81 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,386.17,210.59,426.21,227.41,198.61,391.03,160.48,302.54,105.97,95.68,236.43,132.85,155.26,256.16 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,419.57,226.19,475.62,250.92,211.37,417.34,171.56,308.06,109.41,98.3,226.53,132.23,154.49,248.46 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,431.89,232.18,542.3,275.71,230.17,475.21,184.69,399.31,122.1,111.54,302.14,141.66,166.24,346.02 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,431.96,232.56,542.12,264.82,222.45,472.8,179.59,397.19,116.04,106.46,303.41,146.19,171.22,349.02 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,445.87,238.84,547.96,285.19,240.91,478.17,199.22,407.23,126.52,115,302.86,144.55,170.55,347.86 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,445.3,235.28,551.5,288.98,241.91,482.11,195.33,407.81,123.79,109.73,305.05,148.15,174.72,350.61 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,456.44,247.61,550.79,290.09,245.24,483.5,198.94,404.89,133.31,119.46,306.33,146.66,175.34,351.03 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,462.76,250.25,553.19,294.42,250.64,486.07,200.16,403.98,132.4,120.57,301.78,151.02,183.75,350.27 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,306.05,204.41,290.82,153.85,134.62,262.4,102.38,213.81,79.24,75.69,180.17,95.8,101.74,183.21 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,292.43,203.23,291.34,149.45,127.32,257.41,94.62,208.62,72.08,69.12,148.82,86.91,90.3,166.09 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,436.17,240.25,462.27,264.24,223.68,411.86,190.15,307.67,121.13,99.26,292.81,144.23,168.62,317.3 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,424.24,246.13,460.32,261.74,222.91,405.91,188.2,302.95,119.38,101.89,210.79,139.52,163.29,233.19 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,339.94,227.45,300.88,165.58,145.22,272.09,107.51,218.35,85.08,80.29,151.35,75.71,86.18,161.97 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,328.39,236.59,306.76,160.26,144.22,270.43,106.78,219.21,83.53,76.89,127.8,65.57,72.93,138.22 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,452.18,239.05,538.69,268.04,226.63,475.82,210.78,426.23,129.39,105.18,366.41,159.26,190.5,411.87 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,498.61,252.85,611.91,321.88,273.66,522.44,240.98,453.96,140.51,121.04,414.92,200.72,243.68,473.62 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,450.11,243.23,552.04,279.27,236.8,482.18,192.93,406.34,124.93,113.49,350.62,152.65,179.64,392.56 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,446.63,242.83,546.46,276.26,234.83,479.74,189.72,404.21,123.51,112.11,332.75,163.17,192.41,380 "ASKAP - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,324.5,183.83,365.98,183.88,158.94,325.56,128.52,268.12,92.34,86.56,,,, "ASKAP - Test: tConvolve MT - Degridding (Million Grid Points/sec/Watt)",HIB,,,,,,,,,30.488,40.392,46.194,76.916,89.447,36.679,76.562,50.183,79.952,85.734,,,, "GNU Octave Benchmark - CPU Power Consumption Monitor (Watts)",LIB,133.36,296.93,108.34,,164.13,373.8,166.55,371.49,180.92,97.85,205.11,95.8,84.26,189.57,67.77,161.36,49.95,47.63,114.72,52.88,55,116.68 "CPU Power Consumption Monitor - Phoronix Test Suite System Monitoring (Watts)",,278.1,517.33,260.08,455.07,291.53,566.6,295.53,569.8,437.37,237.91,525.49,290.08,244.69,464.49,225.05,375.51,128.7,114.13,291.05,142.1,169.1,321.01 "Aircrack-ng - CPU Power Consumption Monitor (Watts)",LIB,307.64,552.88,302.49,498.75,311.12,585.65,309.39,585.6,478.65,239.45,,352.69,265.55,,232.97,,145.5,120.86,,158.02,191.45, "Aircrack-ng - (k/s/Watt)",HIB,479.357,97.517,507.725,128.684,377.956,142.86,433.272,112.132,333.666,424.587,,585.841,702.972,,763.99,,1057.154,1173.567,,725.957,609.641, "Y-Cruncher - CPU Power Consumption Monitor (Watts)",LIB,222.94,424.33,198.74,362.82,255.33,496.54,254.54,493.66,352.71,195.15,404.17,212.59,178.56,351.79,148.59,284.7,105.12,94.34,272.77,141.11,168.68,293.09 "Y-Cruncher - CPU Power Consumption Monitor (Watts)",LIB,181.21,367.73,151.06,285.35,212.09,434.63,211.16,425.51,293.71,167.23,327.67,173.58,146.25,293.51,118.84,238.41,86.13,78.49,221.86,116.04,134.29,236.59 "Primesieve - CPU Power Consumption Monitor (Watts)",LIB,328.05,623.11,325.15,610.7,333.11,644.29,332.68,641.65,498.66,258.9,618.54,347.93,313.43,568.09,274.16,500.8,151.7,116.97,414.77,208.57,266.63,507.66 "Primesieve - CPU Power Consumption Monitor (Watts)",LIB,216.08,384.89,195.27,304.92,247.24,432.51,240.32,419.03,315.19,193.17,239.55,157.31,142.51,217.76,116.27,188.39,87.74,72.3,228.57,134.25,160.81,260.26 "Stockfish - CPU Power Consumption Monitor (Watts)",LIB,339.56,678.39,337.72,672.28,341.39,679.75,341.12,680.45,519.4,263.42,766.5,386.38,347.3,686.5,332.06,640.56,174.36,145.98,474.56,240.94,310.08,618.97 "Stockfish - Chess Benchmark (Nodes/s/Watt)",HIB,285328.343,276776.392,325017.742,331127.597,199243.059,202981.452,215737.778,219573.257,201379.087,193986.515,520707.983,555213.837,569277.484,540060.409,571475.983,470216.095,568916.363,621037.113,496138.401,509643.71,403742.349,431231.391 "Helsing - CPU Power Consumption Monitor (Watts)",LIB,336.32,654.95,334.81,643.2,338.57,664.49,338.48,662.24,517.9,264.22,711.96,378.16,322.19,624.24,315.34,591.29,166.23,131.19,444.27,217.84,283.2,552.92 "Xmrig - CPU Power Consumption Monitor (Watts)",LIB,339.42,669.3,334.94,645.48,327.41,673.63,341.47,672.99,513.7,264.66,706.81,375.84,304.31,592.72,232.05,494.18,139.24,125.96,365.97,173.6,197.12,402.77 "Xmrig - Variant: GhostRider - Hash Count: 1M (H/s/Watt)",HIB,17.114,16.828,25.015,25.291,16.636,16.293,17.929,18.002,10.183,9.798,44.082,42.004,46.688,45.051,40.166,36.168,33.466,36.236,28.504,30.621,29.19,27.676 "GNU Octave Benchmark - CPU Power Consumption Monitor (Watts)",LIB,,,,225,,,,,,,,,,,,,,,,,, "Llamafile - CPU Power Consumption Monitor (Watts)",LIB,317.1,630.52,307.46,568.91,306.79,633.28,325.29,639.77,484.21,250.18,568.13,296.68,245.28,480.08,203.84,412.48,135.55,115.77,350.49,175.78,201.04,383.74 "Llamafile - Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPU (Tokens/sec/Watt)",HIB,0.018,0.006,0.013,0.005,0.005,0.003,0.005,0.002,0.006,0.018,0.009,0.029,0.034,0.011,0.037,0.011,0.038,0.044,0.007,0.031,0.028,0.007 "Llamafile - CPU Power Consumption Monitor (Watts)",LIB,262.55,537.58,244.07,512.88,283.07,559.87,288.22,566.01,409.62,215.58,462.55,231.13,186.7,388.15,163.65,343.52,104.22,92.71,385.26,139.67,172.82,429.62 "Llamafile - Test: llava-v1.5-7b-q4 - Acceleration: CPU (Tokens/sec/Watt)",HIB,0.08,0.019,0.068,0.015,0.027,0.014,0.028,0.013,0.03,0.089,0.031,0.11,0.138,0.037,0.126,0.032,0.202,0.223,0.007,0.061,0.056,0.007 "oneDNN - CPU Power Consumption Monitor (Watts)",LIB,187.58,409.27,173.49,355.72,201.22,425.54,202.05,431.59,304.22,151.05,300.29,155.62,135.34,275.56,122.35,245.22,70.08,62.56,196.1,98.35,112.89,213.96 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,327.19,649.04,324.07,637.42,329.15,656.57,330.63,657.37,501.31,253.93,716.78,374.52,315.18,581.56,292.63,488.86,161.25,137.08,307.84,207.06,248.78,354.62 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,328.31,651.14,323.98,638.38,330.38,659.86,330.51,660.24,504.36,255.01,750.99,380.02,331.39,641.88,322.4,631.93,159.92,133.6,456.74,230.25,297.75,588.97 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,327.9,652.87,325.47,641.35,330.18,659.67,330.18,659.95,509.59,253.24,760.09,370.93,302.4,599.17,269.44,591.23,152.34,130.31,458.61,218.36,269.61,564.61 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,328.72,660.59,318.97,653.57,331.88,665.43,332.74,664.69,511.4,255.74,760.8,382.65,333.47,652.58,323.53,632.45,165.08,135.3,462.61,235.17,308.92,608.93 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,329.39,658.39,326.91,648.24,330.52,665.03,331.34,663.32,510.02,255.45,754.92,377.27,316.48,612.41,311.43,604.27,159.45,130.25,456.22,229.66,299.29,585.34 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,321.95,656.03,325.81,651.59,331.05,663.81,330.98,662.79,507.36,254.14,750.94,374.75,323.9,645.83,299.63,607.43,159.63,135.1,441.51,230.17,296.98,553.41 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,328.2,651.12,325.49,639.31,327.03,658.8,329.87,655.73,506.94,254.29,710.38,368.08,315.59,634.64,293.51,604.36,158.07,128.27,444.05,214.7,257.32,513.09 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,330.49,657.97,302.37,650.24,331,663.67,332.1,666.38,510.45,255.11,749.07,371.14,315.71,615.26,305.35,614.49,156.89,132.64,468.4,234.55,284.95,596.74 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,329.61,662.23,327.29,652.57,331.47,666.11,332.66,666.2,510.62,255.35,762.39,384.48,326.4,649.54,308.04,615.84,156.99,128.88,466.01,235.37,309.55,612 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,327.33,657.43,219.81,525.5,330.51,664.45,331.92,661.77,505.26,253.57,750.87,363.03,304.28,628.28,267.71,578.55,155.49,138.77,438.97,221.35,263.16,515.24 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,328.19,585.54,235.56,472.9,330.72,633.47,331.78,627.67,507.52,255.35,623.56,367.01,310.58,545.61,310.47,436.99,152.78,129.12,274.08,203.6,241.33,302.19 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,323.68,639.29,319.39,625.11,326.77,649.97,327.08,649.1,501.41,251.32,740.61,374.05,317.58,629.45,295.9,582.16,153,126.81,434,225.98,297.23,568.65 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,265.81,511.16,264.62,541.35,282.4,599.73,291.39,602.51,349.52,220.18,454.4,245.06,205.3,396.9,164.54,321.68,116.41,104.85,340.5,148.25,170.8,376.47 "PyTorch - Device: CPU - Batch Size: 512 - Model: ResNet-152 (batches/sec/Watt)",HIB,0.077,0.029,0.088,0.03,0.069,0.028,0.066,0.024,0.042,0.08,0.016,0.057,0.068,0.018,0.066,0.018,0.114,0.127,0.019,0.079,0.08,0.018 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,250.75,490.32,245.26,511.14,265.6,570.95,276.02,577.13,327.4,207.89,418.64,232.68,194.55,369.53,157.61,298.03,110.66,99.8,327.79,138.61,159.18,354.05 "PyTorch - Device: CPU - Batch Size: 512 - Model: ResNet-50 (batches/sec/Watt)",HIB,0.225,0.077,0.258,0.08,0.192,0.073,0.188,0.066,0.114,0.236,0.04,0.149,0.178,0.044,0.175,0.046,0.305,0.332,0.045,0.194,0.194,0.045 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,266.18,525.94,265.19,540.82,282.52,598.06,288.21,604.22,349.96,220.44,457.61,245.31,205.23,395.96,165.14,321.8,115.97,104.56,329.47,148.21,170.76,344.44 "PyTorch - Device: CPU - Batch Size: 256 - Model: ResNet-152 (batches/sec/Watt)",HIB,0.076,0.027,0.088,0.03,0.068,0.027,0.068,0.025,0.043,0.08,0.015,0.057,0.068,0.018,0.067,0.018,0.114,0.126,0.019,0.08,0.08,0.019 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,251.84,486.52,215.65,507.69,268.45,569.91,273.3,577.93,326.58,207.81,419.25,232.73,194.95,365.56,157.48,300.12,110.56,99.64,325.94,138.47,159.18,363.82 "PyTorch - Device: CPU - Batch Size: 256 - Model: ResNet-50 (batches/sec/Watt)",HIB,0.218,0.077,0.293,0.082,0.197,0.073,0.189,0.066,0.113,0.235,0.04,0.15,0.179,0.048,0.176,0.044,0.305,0.334,0.045,0.194,0.194,0.045 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,265.52,520.21,264.8,541.7,282.03,595.73,291.69,605.19,349.16,220.28,455.72,244.28,205,396.83,164.98,320.17,115.9,103.98,330.33,148.31,170.28,374.58 "PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-152 (batches/sec/Watt)",HIB,0.076,0.027,0.089,0.03,0.067,0.027,0.066,0.025,0.043,0.08,0.016,0.057,0.068,0.018,0.066,0.018,0.114,0.126,0.019,0.081,0.076,0.018 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,250.31,486.48,244,507.01,266.73,568.79,275.89,577.63,325.09,207.69,415.63,231.06,195.3,367.41,158.01,299.48,108.57,98.23,326.43,138.69,159.15,363.14 "PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-50 (batches/sec/Watt)",HIB,0.223,0.076,0.258,0.08,0.193,0.074,0.186,0.066,0.116,0.236,0.042,0.15,0.179,0.046,0.175,0.046,0.308,0.338,0.045,0.194,0.193,0.044 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,242.81,476.49,239.78,511.35,262.34,571.95,270.76,578.74,295.35,200.49,418.43,228.52,192.05,369.03,155.97,296.81,104.37,97.09,317.38,139.02,158.21,362.4 "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-152 (batches/sec/Watt)",HIB,0.08,0.033,0.113,0.034,0.076,0.031,0.067,0.026,0.056,0.111,0.02,0.069,0.081,0.022,0.084,0.022,0.146,0.156,0.02,0.096,0.092,0.02 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,219.54,425.75,205.45,450.14,237.82,527.85,251.12,540.93,274.76,177.33,384.75,206.21,174.93,343.94,143.05,279.95,94.53,89.88,307.69,125.95,142.9,341.29 "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec/Watt)",HIB,0.234,0.083,0.377,0.102,0.214,0.088,0.193,0.066,0.155,0.346,0.052,0.2,0.231,0.056,0.221,0.053,0.435,0.456,0.053,0.258,0.251,0.052 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,334.67,661.11,306.26,593.47,337.25,671.88,337.62,672.55,505.8,261.52,622.34,328.89,286.15,547.94,247.07,472.75,149.41,130.65,454.45,214.28,261.65,515.79 "TensorFlow - Device: CPU - Batch Size: 512 - Model: GoogLeNet (images/sec/Watt)",HIB,1.378,0.871,1.511,0.974,1.137,0.696,1.18,0.71,0.813,1.11,0.747,1.293,1.646,0.96,1.824,1.245,2.098,2.26,0.781,1.298,1.14,0.734 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,288.85,603.65,305.73,522.57,325.43,632.22,325.32,625.4,474.18,251.06,538.13,297.93,257.54,483.44,234.91,410.73,134.77,114,407.31,193.42,240.23,460.62 "TensorFlow - Device: CPU - Batch Size: 512 - Model: AlexNet (images/sec/Watt)",HIB,4.426,3.147,4.861,3.903,3.22,2.537,3.409,2.674,3.101,3.517,3.526,4.675,5.294,3.853,6.899,4.569,6.494,6.99,2.406,3.502,3.05,2.31 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,342.65,678.16,299.63,585.9,342.39,684.53,343.75,684.02,504.58,263.16,606.04,316.96,287.56,547.08,244.22,478.51,153.51,134.5,441.95,208.71,255.22,506.95 "TensorFlow - Device: CPU - Batch Size: 512 - Model: ResNet-50 (images/sec/Watt)",HIB,0.433,0.258,0.469,0.29,0.343,0.212,0.364,0.202,0.254,0.349,0.227,0.385,0.487,0.296,0.553,0.366,0.659,0.711,0.257,0.441,0.383,0.246 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,323.79,635.04,281.92,535.58,329.22,653.82,329.98,651.98,483.98,255,587.49,311.48,276.32,518.78,244.09,426.33,145.84,126.6,405.89,200.89,245.54,461.73 "TensorFlow - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec/Watt)",HIB,1.385,0.833,1.503,0.936,1.141,0.684,1.17,0.69,0.832,1.138,0.666,1.305,1.62,0.775,1.896,0.932,2.115,2.27,0.743,1.298,1.147,0.726 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,290.68,554.16,268.97,462.52,307.61,588.17,307.45,589.54,428.69,237.33,480.42,270.65,235.94,428.39,206.77,366.52,126.21,108,362.01,173.02,213.83,411.57 "TensorFlow - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec/Watt)",HIB,4.146,3.122,4.749,3.635,3.205,2.515,3.444,2.593,3.127,3.591,3.248,4.808,5.419,3.535,6.976,3.829,6.684,7.144,2.368,3.524,3.126,2.456 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,338.33,663.98,278.36,540.26,338.38,674.94,340.59,674.95,496.59,260.49,590.53,320.09,284.71,531.98,239.33,451.33,152.81,134.32,417.33,198.95,241.64,475.01 "TensorFlow - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec/Watt)",HIB,0.425,0.243,0.463,0.278,0.354,0.21,0.363,0.2,0.254,0.352,0.203,0.385,0.485,0.252,0.525,0.291,0.646,0.691,0.247,0.438,0.382,0.242 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,275.93,524.23,226.63,426.33,292.25,563.45,291.07,558.65,407.6,224.1,493.46,259.15,226.08,443.22,196.33,350.5,127.66,111.89,305.84,157.46,187.52,337.98 "TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec/Watt)",HIB,1.378,0.633,1.411,0.683,1.142,0.606,1.153,0.553,0.853,1.261,0.503,1.274,1.568,0.513,1.603,0.502,2.169,2.295,0.55,1.36,1.24,0.565 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,221.64,439.21,197.79,357.25,251.93,491.23,252.6,489.99,337.77,198.24,397.64,200.48,173.22,352.38,148.26,294.77,103.47,92.59,267.11,132.25,158.02,289.41 "TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec/Watt)",HIB,4.375,2.269,4.145,2.404,3.341,1.898,3.374,1.919,2.677,3.481,1.857,4.332,5.439,2.065,6.238,2.236,6.508,6.664,1.74,3.355,3.051,1.794 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,303.56,571.99,239.37,469.58,315.74,601.85,317.98,603.74,458.39,250.55,542.07,295.36,256.02,487.46,222.65,375.57,143.22,123.62,330.36,168.94,201.8,364.61 "TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec/Watt)",HIB,0.398,0.202,0.382,0.202,0.33,0.186,0.326,0.178,0.236,0.362,0.159,0.354,0.448,0.17,0.477,0.179,0.61,0.654,0.186,0.423,0.378,0.188 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,154.91,402.29,124.36,313.09,177.15,423.67,183.7,433,229.87,107.65,340.38,131.02,115.93,306.45,101.49,262.36,60.4,56.3,195.59,69.97,76.44,207.14 "TensorFlow - Device: CPU - Batch Size: 1 - Model: GoogLeNet (images/sec/Watt)",HIB,0.217,0.034,0.174,0.041,0.204,0.043,0.171,0.034,0.127,0.496,0.038,0.261,0.283,0.041,0.207,0.031,0.607,0.648,0.03,0.177,0.172,0.032 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,151.32,355.03,124.1,276.92,176.45,403,186.7,414.71,242.28,123.85,307.72,144.8,118.55,280.47,93.48,224.78,64.2,60.05,187.73,73.23,78.62,195.16 "TensorFlow - Device: CPU - Batch Size: 1 - Model: AlexNet (images/sec/Watt)",HIB,0.374,0.106,0.286,0.111,0.274,0.094,0.234,0.08,0.154,0.34,0.065,0.181,0.275,0.071,0.375,0.083,0.538,0.572,0.087,0.404,0.407,0.094 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,188.55,455.97,152.5,351.48,214.64,479.87,220.35,495.88,285.87,137.42,389.7,179.99,157.26,357.87,128.28,288.27,81.51,76.32,203.64,74.94,83.13,212.41 "TensorFlow - Device: CPU - Batch Size: 1 - Model: ResNet-50 (images/sec/Watt)",HIB,0.056,0.01,0.042,0.011,0.053,0.011,0.045,0.009,0.032,0.13,0.01,0.05,0.057,0.01,0.048,0.009,0.132,0.14,0.009,0.062,0.06,0.009 "srsRAN Project - CPU Power Consumption Monitor (Watts)",LIB,111.22,259.97,83.2,185.44,138.16,320.28,147.34,321.38,163.54,82.65,182.65,78.89,69.9,161.78,55.85,137.34,41.18,38.81,107.54,43.98,45.97,108.64 "srsRAN Project - Test: PDSCH Processor Benchmark, Throughput Thread (Mbps/Watt)",HIB,6.116,2.598,8.929,4.074,5.085,2.035,4.788,2.065,2.998,5.866,3.639,8.628,9.795,4.162,10.675,4.2,13.548,14.524,2.726,6.807,7.249,2.979 "srsRAN Project - CPU Power Consumption Monitor (Watts)",LIB,283.1,589.02,266.9,537.03,281.29,604.92,289.12,617.8,470,229.96,632.5,321.41,276.24,559.64,261.04,514.74,136.58,117.93,426.81,205.11,245.99,509.97 "srsRAN Project - Test: PDSCH Processor Benchmark, Throughput Total (Mbps/Watt)",HIB,87.208,51.117,98.832,56.883,75.675,49.984,52.161,19.208,40.306,58.869,41.071,91.424,100.256,40.976,96.515,58.043,141.87,165.234,74.218,133.008,121.163,64.73 "srsRAN Project - CPU Power Consumption Monitor (Watts)",LIB,134.44,304.32,108.29,229.54,172.93,375.78,176.34,373.48,186.14,93.49,235.89,102.46,89.27,213.93,72.27,175.84,50.19,49.36,106.63,43.73,44.02,107.97 "srsRAN Project - Test: PUSCH Processor Benchmark, Throughput Thread (Mbps/Watt)",HIB,0.965,0.426,1.196,0.564,0.75,0.345,0.736,0.347,0.603,1.201,0.476,1.095,1.257,0.524,1.551,0.637,2.234,2.271,0.467,1.139,1.193,0.487 "srsRAN Project - CPU Power Consumption Monitor (Watts)",LIB,254.1,551.02,233.17,500.5,272.33,570.06,283.68,580.82,436.41,221.57,652.65,313.37,253.54,538.17,255.23,518.41,127.74,104.99,308.05,125.74,149.41,349.96 "srsRAN Project - Test: PUSCH Processor Benchmark, Throughput Total (Mbps/Watt)",HIB,10.299,8.808,13.247,10.976,7.971,6.643,8.854,7.552,7.535,7.989,10.725,18.052,20.666,12.702,23.406,16.197,24.996,26.846,9.956,15.533,14.18,9.756 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,312.4,628.76,309.72,619.43,314.43,636.23,316.72,635.9,484.28,240.39,664.5,357.96,280.68,532.22,272.02,372.51,136.88,113.55,410.59,213.46,280.76,511.74 "Liquid-DSP - Threads: 256 - Buffer Length: 256 - Filter Length: 512 (samples/s/Watt)",HIB,3267678.463,2571656.77,3805850.457,3272343.491,2666847.494,2269719.802,2982249.167,2388645.741,2190947.553,2257184.315,3603186.162,4387111.536,4853033.938,4001237.144,6413920.522,4657018.086,5998206.236,6532499.051,3182607.787,3974344.33,3349035.558,2808259.467 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,315.8,636.78,310.3,619.49,318.17,635.13,317.3,639.74,488.78,243.97,671.41,362.54,301.36,576.16,285.46,386.37,146.02,119.1,434.11,224.29,295.72,551.34 "Liquid-DSP - Threads: 256 - Buffer Length: 256 - Filter Length: 57 (samples/s/Watt)",HIB,11085612.925,8419315.634,12268330.081,10144378.388,8954185.9,7597124.425,10156047.281,7871904.972,6213581.6,6601048.412,11934150.923,16030850.556,17475938.767,12864302.697,22424548.815,16347865.871,21345877.017,23457026.728,15666459.94,18991058.672,15942975.314,13780225.289 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,316.47,633.09,311.11,623.14,277.71,643.07,305.6,643.9,489.41,243.95,635.93,362.52,295.44,559.37,289.87,385.26,139.24,119.7,386.75,200.9,260.31,476.44 "Liquid-DSP - Threads: 256 - Buffer Length: 256 - Filter Length: 32 (samples/s/Watt)",HIB,10249944.702,9661394.053,10180344.311,9752693.411,8576477.66,7263532.035,9061082.026,8335236.319,7299110.004,7475059.61,12478169.669,16171511.911,17844515.214,13431732.687,22727990.091,16713460.665,21992105.599,23304528.154,17638157.226,21409914.838,18436155.376,15839180.068 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,313.56,572.97,308.24,611.28,316.42,641.19,315.02,634.9,485.27,243.73,497.11,362.28,265.16,405.79,264.25,362.1,138.03,114.97,269.7,195.9,255.44,315.44 "Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 512 (samples/s/Watt)",HIB,2929507.992,1966021.924,3740373.108,2443783.017,2528910.042,1702250.869,2800439.163,1899608.97,2021740.474,2212405.835,2805690.781,3778092.654,4367851.067,2957086.745,5183635.107,3727692.534,5867538.624,6364836.349,2621658.594,3673478.121,3117578.499,2466244.275 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,315.31,577.58,310.75,617.34,316.47,637.74,319.2,643.18,487.47,244.28,497.67,363.41,289.1,424.28,282.21,378.17,144.65,118.2,283.13,208.54,270.81,331.21 "Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 57 (samples/s/Watt)",HIB,10089438.811,6447020.995,11273487.108,7209189.036,8437038.987,5639264.931,9312055.816,6058163.971,5516263.527,6364402.842,9563226.715,13085490.528,14722432.568,10089896.405,16705633.011,12234041.506,20620501.379,22733164.515,13110978.99,17916149.907,15275772.397,12284401.916 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,315.8,514.38,310.33,554.16,283.2,638.24,308.8,641.03,486.34,244.28,497.93,362.99,280.2,414.47,243.96,348.37,140.38,117.41,252.62,180.45,231.44,294.38 "Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 32 (samples/s/Watt)",HIB,10135010.789,6918246.021,10144782.581,6353287.778,8304651.14,5098422.996,8871933.757,5205818.856,6260399.4,7357841.694,8852490.971,11993608.956,14392112.2,9803609.244,15541749.235,10891038.631,21706213.464,23574098.602,14282136.046,20349128.584,17724724.875,13659351.735 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,315.09,526.23,304.06,518.15,317.61,636.12,316.88,639.09,428.11,243.45,445.97,308.87,244.61,379.6,189.34,296.21,125.6,105.75,197.88,124.61,156.55,223.73 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 512 (samples/s/Watt)",HIB,2362548.083,1519282.706,2577646.645,1705499.347,1991130.778,1151612.889,2174337.875,1184768.102,1510160.813,2067133.314,1904459.877,2753902.958,3317050.155,2172222.155,3748079.599,2394875.441,5046791.277,5458880.215,1767425.56,2885618.686,2545869.665,1718163.342 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,315.42,531.73,307.74,511.79,316.93,636.64,318.37,643.65,427.05,245.38,443.95,309.4,264.48,391,191.35,295.04,130.03,107.3,204.39,133.68,162.74,230.9 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 57 (samples/s/Watt)",HIB,8050132.031,4994066.822,8044246.292,5119414.528,6748464.674,3917514.636,7252530.069,3870621.21,4681614.529,5987302.629,6245758.05,9250164.534,10813033.926,6982683.337,12777153.278,8048978.356,16817799.691,18884627.202,9063033.04,14237235.021,12897729.085,8820935.852 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,281.22,510.48,286.83,475.95,245.35,593.37,254.14,617.07,410.5,244.21,394.38,257.47,229.7,362,158.44,266.35,127.25,100.8,189.62,118.58,143.29,211.19 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 32 (samples/s/Watt)",HIB,6722664.601,3966847.18,6720931.247,4527054.555,6685402.037,3308597.894,6609424.926,3387722.726,4217240.967,6395094.292,5779445.487,8884551.101,9937920.595,6304024.25,11984070.913,7114576.176,14706486.76,17627091.456,9390076.727,15528502.678,14358014.804,9419289.56 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,90.28,231.54,79.97,197.7,116.77,274.92,123.68,280.98,180.71,93.47,240.84,103.76,91.25,218.96,72.05,178.26,49.1,48.39,106.01,43.81,44.05,107.78 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 512 (samples/s/Watt)",HIB,186991.456,72744.476,234762.355,92062.082,144779.819,61488.834,136523.063,60089.56,75252.107,145590.231,54322.928,129024.514,146784.937,61154.454,155096.199,63241.266,229953.45,232185.741,59249.317,143435.837,158555.719,64666.308 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,90.43,232.97,85.12,227.03,116.57,275.13,124.5,281.97,182.63,94.51,241.66,104.68,91.69,219.18,73.02,179.99,50.24,49.21,106.07,43.77,44.01,107.68 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 57 (samples/s/Watt)",HIB,741692.033,287557.789,859261.409,310526.314,575880.012,243752.916,539196.73,235014.31,295293.252,572291.338,229312.069,529757.56,604481.007,250729.154,633663.712,256852.188,919805.488,924272.739,315271.068,764093.383,845147.041,344751.302 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,88.61,230.15,79.05,181.13,114.68,273.12,121.77,280.07,182.69,93.86,241.89,104.65,91.67,218.3,72.89,179.59,50.79,50.11,105.63,43.71,43.87,107.83 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 32 (samples/s/Watt)",HIB,411972.013,158420.271,509090.206,215045.22,318611.935,133630.142,300054.214,130400.412,175115.565,340868.751,148995.975,344631.618,393460.52,165061.915,410323.615,166453.307,588721.266,596676.312,300148.315,725751.194,803665.723,326342.235 "GraphicsMagick - CPU Power Consumption Monitor (Watts)",LIB,310.53,542.66,306.84,527.29,330.14,598.34,322.19,578.67,427.21,253.3,449.12,268.23,223.17,382.8,192.51,331.64,122.54,110.39,246.46,153.73,192.24,276.13 "GraphicsMagick - Operation: Swirl (Iterations/min/Watt)",HIB,1.617,1.137,1.724,1.307,1.193,0.851,1.341,0.964,0.943,1.097,1.298,2.036,2.29,1.445,2.779,1.71,3.093,3.288,1.923,3.279,2.944,1.872 "GraphicsMagick - CPU Power Consumption Monitor (Watts)",LIB,329.54,632.93,326.08,627.19,330.11,660.39,321.22,662.12,504.87,254.91,603.16,341.04,256.57,481.76,247.13,448.99,127.19,116.15,348.18,204.72,261.59,425.97 "GraphicsMagick - Operation: Sharpen (Iterations/min/Watt)",HIB,0.476,0.419,0.512,0.453,0.345,0.301,0.405,0.343,0.285,0.31,0.492,0.589,0.674,0.544,0.838,0.69,0.881,0.904,0.965,1.236,1.074,0.894 "GraphicsMagick - CPU Power Consumption Monitor (Watts)",LIB,329.43,601.76,327.64,608.66,330.74,656.05,329.68,645.53,493.87,254.21,549.68,320.71,247.53,451.41,226.47,397.41,127.55,110.88,322.39,194.07,246.9,389.46 "GraphicsMagick - Operation: Enhanced (Iterations/min/Watt)",HIB,0.656,0.568,0.696,0.614,0.484,0.41,0.549,0.466,0.435,0.484,0.742,0.935,1.067,0.815,1.342,1.014,1.348,1.47,1.086,1.391,1.211,0.999 "GraphicsMagick - CPU Power Consumption Monitor (Watts)",LIB,220.76,389.84,219.79,356.85,271.55,486.24,257.27,476,317.68,195.01,331.54,176.95,153.63,297.92,123.19,243.28,86.65,79.6,159.54,94.78,109.4,172.89 "GraphicsMagick - Operation: Noise-Gaussian (Iterations/min/Watt)",HIB,0.716,0.467,0.778,0.544,0.552,0.308,0.614,0.345,0.482,0.62,0.54,0.932,1.041,0.597,1.226,0.674,1.42,1.507,0.74,1.53,1.417,0.729 "ASTC Encoder - CPU Power Consumption Monitor (Watts)",LIB,300.87,551.93,293.73,525.87,315.36,591.29,312.54,586.49,483.56,254.82,555.22,322.22,271.69,469.68,264.41,424.16,151.62,129.53,347.52,193.71,250.35,422.73 "ASTC Encoder - Preset: Exhaustive (MT/s/Watt)",HIB,0.014,0.015,0.016,0.017,0.01,0.011,0.012,0.012,0.005,0.005,0.021,0.02,0.021,0.023,0.029,0.033,0.023,0.025,0.021,0.019,0.016,0.019 "ASTC Encoder - CPU Power Consumption Monitor (Watts)",LIB,301.81,550,294.16,526.63,315.87,590.21,313.77,582.09,488.29,255.32,538.44,322.42,270.94,474.96,262.17,421.17,151.45,128.4,346.65,194.13,249.37,422.58 "ASTC Encoder - Preset: Very Thorough (MT/s/Watt)",HIB,0.023,0.025,0.026,0.028,0.016,0.017,0.019,0.02,0.009,0.008,0.036,0.032,0.034,0.036,0.047,0.052,0.038,0.041,0.033,0.03,0.026,0.03 "ASTC Encoder - CPU Power Consumption Monitor (Watts)",LIB,239.45,428.35,223.18,373.98,265.38,472.75,261.71,466.49,403.9,228.75,367.67,222.24,193.35,330.17,170.2,265.99,114.12,98.95,228.94,140.53,174.24,264.73 "ASTC Encoder - Preset: Thorough (MT/s/Watt)",HIB,0.214,0.203,0.244,0.262,0.139,0.153,0.164,0.179,0.074,0.068,0.316,0.33,0.338,0.319,0.505,0.456,0.359,0.384,0.31,0.29,0.259,0.299 "ASTC Encoder - CPU Power Consumption Monitor (Watts)",LIB,173.64,342.67,162.88,277.37,211.87,403.63,207.12,397.48,291.19,175.72,258.49,143.57,126.4,234.22,104.51,194.48,75.04,68.61,162.27,89.14,102.28,177.44 "ASTC Encoder - Preset: Medium (MT/s/Watt)",HIB,1.923,1.414,2.012,1.983,1.167,1.094,1.373,1.215,0.741,0.72,1.966,3.488,3.553,2.099,5.05,2.377,3.926,3.989,2.084,3.191,3.076,2.048 "libavif avifenc - CPU Power Consumption Monitor (Watts)",LIB,130.94,276.23,95.6,204.47,159.39,348.01,159.29,346.41,180.38,100.66,192.17,89.96,79.69,171.46,64.93,147.26,45.79,43.89,113.94,50.67,52.35,116.77 "libavif avifenc - CPU Power Consumption Monitor (Watts)",LIB,158.79,313.6,128.43,248.3,193.8,390.59,191.83,378.09,213.07,132.08,220.4,115.08,100.34,198.44,80.51,165.83,55.18,53.07,123.17,59.76,64.09,128.53 "libavif avifenc - CPU Power Consumption Monitor (Watts)",LIB,149.47,294.92,125.51,224.06,180.42,375.42,183.17,370.24,215.89,131.52,193.24,106.31,92.59,178.85,76.34,144.55,54.43,49.3,129.25,64.88,69.56,135.03 "libavif avifenc - CPU Power Consumption Monitor (Watts)",LIB,196.29,390.93,161.32,350.42,235.53,461.85,235.72,458.52,258.88,150.68,296.47,157.68,137.31,267.46,107.23,217.6,75.22,69.45,125.3,59.56,65.19,131.77 "libavif avifenc - CPU Power Consumption Monitor (Watts)",LIB,218.41,425.04,197.77,391.09,254.61,494.12,253.47,485.4,285.14,165.96,324.3,180.87,156.52,295.3,121.7,234.99,85.23,77.61,131.11,65.01,72.37,139.04 "WebP Image Encode - CPU Power Consumption Monitor (Watts)",LIB,148.44,324.76,128.71,274,184.91,407.7,190.72,397.44,192.53,101.4,249.88,109.81,96.75,225.88,77.06,186.91,53.42,52.31,111.28,50.5,51.07,121.62 "WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (MP/s/Watt)",HIB,0.004,0.002,0.005,0.002,0.003,0.001,0.003,0.001,0.003,0.005,0.002,0.005,0.006,0.003,0.006,0.003,0.009,0.009,0.003,0.007,0.008,0.003 "WebP Image Encode - CPU Power Consumption Monitor (Watts)",LIB,88.57,222.03,68.3,186.13,111.05,274.15,119.53,277,169.36,86.28,192.89,82.63,75.95,176,61.84,149.38,44.16,42.26,107.03,43.93,44.16,107.9 "WebP Image Encode - Encode Settings: Quality 100, Highest Compression (MP/s/Watt)",HIB,0.035,0.014,0.051,0.019,0.028,0.011,0.026,0.011,0.017,0.033,0.019,0.044,0.048,0.021,0.049,0.02,0.069,0.072,0.021,0.051,0.056,0.023 "VVenC - CPU Power Consumption Monitor (Watts)",LIB,250.97,449.44,235.39,425.45,275.77,521.79,282.13,521.13,347.13,210.37,,211.98,185.29,,139.36,,107.71,95.43,,90.8,103.62, "VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS/Watt)",HIB,0.06,0.028,0.068,0.031,0.051,0.023,0.051,0.023,0.038,0.062,,0.08,0.09,,0.106,,0.13,0.143,,0.114,0.108, "VVenC - CPU Power Consumption Monitor (Watts)",LIB,242.83,444.48,232.82,413.94,273.3,515.79,277.48,516.46,328.02,196.6,,204.88,177.95,,134.72,,99.45,89.82,,78.47,89.13, "VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS/Watt)",HIB,0.028,0.015,0.032,0.017,0.023,0.012,0.023,0.012,0.018,0.028,,0.037,0.042,,0.048,,0.062,0.067,,0.052,0.05, "FFmpeg - CPU Power Consumption Monitor (Watts)",LIB,186.45,366.29,164.12,317.18,225.58,444.37,228.49,439.08,237.65,145.51,287.45,139.07,123.07,260.19,94.92,210.54,69.48,66.97,117.45,54.51,58.08,127.77 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS/Watt)",HIB,0.267,0.133,0.329,0.168,0.21,0.102,0.211,0.107,0.184,0.303,0.191,0.4,0.452,0.203,0.499,0.224,0.675,0.701,0.229,0.498,0.516,0.222 "FFmpeg - CPU Power Consumption Monitor (Watts)",LIB,186.7,365.67,163.84,316.56,225.5,441.78,228.19,439.49,237.01,145.35,286.98,138.95,123.14,260.25,94.97,210.51,69.43,66.97,117.19,54.55,58,127.88 "FFmpeg - Encoder: libx265 - Scenario: Platform (FPS/Watt)",HIB,0.267,0.133,0.329,0.168,0.21,0.104,0.212,0.106,0.184,0.303,0.192,0.399,0.452,0.203,0.498,0.224,0.675,0.7,0.23,0.498,0.516,0.222 "FFmpeg - CPU Power Consumption Monitor (Watts)",LIB,175.77,355.39,150.78,282.67,215.12,429.86,216.54,428.04,224.76,131.33,280.31,131.52,116.46,253.71,90.52,205.67,65.65,63.46,114.66,51.98,54.72,122.91 "FFmpeg - Encoder: libx265 - Scenario: Upload (FPS/Watt)",HIB,0.142,0.069,0.179,0.095,0.108,0.052,0.11,0.054,0.097,0.167,0.098,0.21,0.237,0.104,0.258,0.113,0.354,0.367,0.121,0.27,0.283,0.121 "uvg266 - CPU Power Consumption Monitor (Watts)",LIB,256.47,454.5,218.83,407.69,268.38,495.22,272.27,503.31,370.67,217.91,357.6,232.88,200.36,320.69,157.17,249.19,112.52,92.93,174.26,104.71,120.53,187.3 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS/Watt)",HIB,0.193,0.121,0.16,0.132,0.147,0.09,0.15,0.092,0.11,0.138,0.154,0.269,0.31,0.167,0.346,0.185,0.445,0.483,0.157,0.389,0.369,0.152 "uvg266 - CPU Power Consumption Monitor (Watts)",LIB,287.16,543.59,283.27,536.26,299.38,571.96,306.72,582.58,425.24,248.57,527.19,310.62,209.83,464.69,224.13,362.19,130.37,107.55,234.71,116.67,138.99,259.74 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Medium (FPS/Watt)",HIB,0.062,0.051,0.059,0.057,0.051,0.039,0.051,0.042,0.038,0.051,0.086,0.105,0.15,0.09,0.145,0.105,0.148,0.166,0.094,0.134,0.124,0.087 "uvg266 - CPU Power Consumption Monitor (Watts)",LIB,289.12,547.66,291.45,550.27,301.55,575.73,306.83,590.16,423.75,249.24,543.26,317.42,258.29,473.23,227.72,375.03,130.95,107.27,238.73,117.38,139.76,267.41 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Slow (FPS/Watt)",HIB,0.054,0.045,0.055,0.049,0.044,0.034,0.045,0.038,0.033,0.044,0.08,0.092,0.108,0.086,0.127,0.099,0.13,0.147,0.086,0.117,0.109,0.081 "Kvazaar - CPU Power Consumption Monitor (Watts)",LIB,235.64,433.41,207.87,374.34,248.42,476.69,253.88,480.56,342.63,205.21,338.64,217.45,189.32,302.06,145.81,237.06,107.72,87.02,170.72,93.24,107.62,185.19 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS/Watt)",HIB,0.212,0.156,0.183,0.175,0.162,0.109,0.163,0.109,0.129,0.152,0.219,0.359,0.406,0.241,0.47,0.249,0.507,0.592,0.213,0.449,0.429,0.21 "Kvazaar - CPU Power Consumption Monitor (Watts)",LIB,263.01,490.42,276.47,509.74,280.57,533.47,286.2,550.48,385.29,234.37,469.54,273.99,219.12,404.28,188.76,323.31,121.69,99.33,216.52,104.69,124.03,243.13 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Medium (FPS/Watt)",HIB,0.08,0.065,0.09,0.082,0.065,0.05,0.066,0.054,0.053,0.066,0.135,0.148,0.181,0.151,0.207,0.169,0.2,0.232,0.135,0.185,0.172,0.13 "Kvazaar - CPU Power Consumption Monitor (Watts)",LIB,262.77,496.87,278.75,508.41,279.05,537.83,286.96,552.42,384.99,234.47,464.35,273.17,229.8,409.96,190.72,325.22,119.03,98.52,220.37,106.79,125.76,248.74 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Slow (FPS/Watt)",HIB,0.077,0.063,0.087,0.08,0.063,0.048,0.064,0.052,0.051,0.064,0.135,0.146,0.169,0.149,0.202,0.169,0.199,0.228,0.132,0.177,0.166,0.128 "x265 - CPU Power Consumption Monitor (Watts)",LIB,234.38,409.49,219.3,359.11,256.33,458.96,261.62,471.43,298.87,203.52,296.42,164.71,145.28,267.17,112.7,216.07,88.38,81.58,160.26,80.41,88.07,169.56 "x265 - Video Input: Bosphorus 4K (FPS/Watt)",HIB,0.161,0.09,0.178,0.109,0.113,0.059,0.12,0.059,0.103,0.146,0.108,0.195,0.218,0.108,0.25,0.13,0.318,0.34,0.138,0.251,0.242,0.115 "SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,204.79,378.27,196.16,333.26,242.37,457.13,245.81,456.54,264.19,173.53,294.39,159.73,140.24,264.94,108.62,214.15,82.61,74.03,135.78,71.01,78.63,146.79 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS/Watt)",HIB,0.034,0.018,0.04,0.022,0.027,0.013,0.027,0.013,0.021,0.031,0.029,0.054,0.06,0.032,0.067,0.033,0.084,0.091,0.027,0.056,0.055,0.028 "SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,195.92,364.29,181.13,309.78,226.08,442.35,228.42,442.62,263.75,164.49,273.59,151.3,134.72,247.1,106.8,200.17,77.57,67.93,143.16,78.14,86.61,154.41 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS/Watt)",HIB,0.362,0.179,0.439,0.227,0.278,0.124,0.286,0.126,0.224,0.336,0.321,0.57,0.653,0.349,0.737,0.388,0.879,0.954,0.299,0.595,0.587,0.306 "SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,149.76,313.03,130.54,245.05,186.44,399.09,186.8,400.5,220.59,127.22,231.05,118.49,104.16,206.47,83.8,168.64,59.31,55.32,130.28,67.73,72.69,139.65 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS/Watt)",HIB,1.097,0.5,1.363,0.675,0.784,0.306,0.812,0.318,0.638,1.054,0.709,1.399,1.714,0.829,2.019,1.001,2.784,2.844,0.833,1.703,1.741,0.843 "SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,155.98,317.58,131.08,247.31,187.24,398.41,187.17,401.02,219.64,128.89,231.16,118.98,105.15,206.94,84.14,171.31,60.52,55.32,131.43,69.02,73.7,142.03 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS/Watt)",HIB,1.042,0.486,1.334,0.659,0.773,0.308,0.801,0.31,0.632,1.033,0.698,1.366,1.644,0.808,1.942,0.933,2.657,2.773,0.824,1.66,1.691,0.821 "Numpy Benchmark - CPU Power Consumption Monitor (Watts)",LIB,108.92,265.77,98.99,220.31,140.29,324.03,146.89,319.82,190.58,99.09,260.26,111.7,98.86,235.19,78.72,194.78,53.3,52.61,108.54,44.9,45.54,108.91 "Numpy Benchmark - (Score/Watt)",HIB,4.183,1.716,5.255,2.36,3.29,1.343,3.164,1.375,2.071,4.043,2.079,4.854,5.359,2.249,5.405,2.17,7.918,7.962,2.382,5.817,6.244,2.603 "PyBench - CPU Power Consumption Monitor (Watts)",LIB,88.45,228.16,85.96,194.14,114.52,276.72,121.48,276.95,177.98,92.52,232.2,99.97,88.41,207.73,72.53,175.13,48.41,47.57,107.3,43.95,45.25,107.95 "Zstd Compression - CPU Power Consumption Monitor (Watts)",LIB,154.25,335.67,134.46,285.1,195.37,414.8,199.75,412.05,195.29,103.56,259.66,113.62,100.13,234.74,78.5,189.86,53.69,52.72,116.84,51.65,53.06,118.94 "Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s/Watt)",HIB,6.931,2.956,9.241,4.173,5.787,2.512,5.674,2.539,4.675,9.833,5.089,11.661,13.268,5.643,14.042,5.816,20.514,20.797,6.001,14.311,15.034,6.333 "Zstd Compression - CPU Power Consumption Monitor (Watts)",LIB,159.64,340.73,140.35,290.84,200.55,415.14,203.22,412.33,202.2,109.38,263.13,118.29,104.36,237.56,81.05,193.87,56.8,55.72,123.42,58.33,59.7,125.62 "Zstd Compression - Compression Level: 19 - Decompression Speed (MB/s/Watt)",HIB,6.465,2.828,8.705,4.008,5.616,2.506,5.548,2.52,4.454,9.439,5.292,11.711,13.308,5.818,14.065,5.875,19.698,20.546,5.845,12.746,13.679,6.162 "Parallel BZIP2 Compression - CPU Power Consumption Monitor (Watts)",LIB,149.7,288.67,124.42,201.02,174.54,345.8,174.26,340.67,220.44,141.25,170.11,100.67,87.61,151.26,71.78,126.08,55.16,50.15,141.47,72.77,79.98,150.21 "7-Zip Compression - CPU Power Consumption Monitor (Watts)",LIB,308.09,613.18,301.96,581.11,313.16,630.61,314.81,628.77,471.63,242.94,578.78,313.89,263.93,513.78,248.63,469.91,132.92,119.61,392.54,185.89,225.95,454.64 "7-Zip Compression - Test: Decompression Rating (MIPS/Watt)",HIB,934.337,908.465,1119.855,986.757,663.359,637.01,773.008,746.103,777.163,775.273,1928.993,2281.23,2434.838,2011.142,3140.68,2852.075,2768.54,2828.903,1954.729,2265.088,2052.497,1861.549 "OpenVKL - CPU Power Consumption Monitor (Watts)",LIB,321.66,633.5,320.1,630.97,327.25,647.03,328.39,649.08,482.91,246.36,677.76,349.21,273.27,546.55,265.2,522.89,138.16,120.35,349.12,176.07,223.17,411.4 "OpenVKL - Benchmark: vklBenchmarkCPU ISPC (Items / Sec/Watt)",HIB,5.391,4.287,6.261,5.106,3.798,2.745,4.129,2.853,3.162,3.527,5.763,6.861,7.601,6.102,9.457,7.673,9.163,9.78,5.786,7.196,6.233,5.416 "Intel Open Image Denoise - CPU Power Consumption Monitor (Watts)",LIB,304.48,573.61,290,534.18,314.57,605.57,313,608.01,461.16,245.89,585.9,329.68,266.61,504.98,239.18,433.56,136.47,118.45,418.44,220.35,279.34,500.21 "Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec/Watt)",HIB,0.004,0.004,0.005,0.004,0.003,0.003,0.004,0.003,0.003,0.003,0.003,0.004,0.005,0.003,0.006,0.004,0.006,0.007,0.004,0.004,0.004,0.003 "Intel Open Image Denoise - CPU Power Consumption Monitor (Watts)",LIB,268.44,496.66,249.97,440.63,286.68,550.26,284.74,538.98,406.6,224.45,499.92,282.53,233.36,424.59,205.54,372.52,123.7,107.91,359.38,199.4,247.22,427.37 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec/Watt)",HIB,0.01,0.009,0.013,0.012,0.008,0.006,0.008,0.007,0.008,0.008,0.007,0.009,0.012,0.008,0.015,0.01,0.015,0.016,0.008,0.01,0.009,0.008 "Intel Open Image Denoise - CPU Power Consumption Monitor (Watts)",LIB,271.32,501.77,249.88,443.88,287.37,542.52,283.96,539.15,406.71,224.83,502.25,284.36,230.11,425.53,203.92,369.54,124.67,107.16,363.85,198.71,246.81,422.71 "Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec/Watt)",HIB,0.01,0.009,0.013,0.011,0.008,0.006,0.008,0.007,0.008,0.008,0.007,0.009,0.012,0.008,0.015,0.01,0.014,0.016,0.008,0.01,0.009,0.008 "Embree - CPU Power Consumption Monitor (Watts)",LIB,271.03,493.94,250.53,422.5,284.3,525.15,281.67,516.97,404.97,227.2,428.94,250.47,221.71,376.52,200.39,357.16,128.92,112.82,322.07,175.27,214.8,357.3 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS/Watt)",HIB,0.258,0.252,0.331,0.363,0.206,0.205,0.232,0.226,0.205,0.192,0.499,0.522,0.499,0.468,0.629,0.532,0.482,0.517,0.377,0.422,0.381,0.373 "Embree - CPU Power Consumption Monitor (Watts)",LIB,215.69,413.97,185.86,299.17,247.01,472.12,246.7,469.55,312.13,182.65,349.82,186.36,163.54,305.41,136.96,263.84,100.16,88.8,197.13,102.53,116.43,211.77 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS/Watt)",HIB,0.368,0.32,0.523,0.579,0.263,0.222,0.291,0.24,0.272,0.261,0.602,0.716,0.693,0.575,0.978,0.759,0.642,0.713,0.635,0.746,0.719,0.643 "Embree - CPU Power Consumption Monitor (Watts)",LIB,215.03,472.72,228.28,393.21,273.07,511.17,267.87,511.91,383.99,219.18,410.15,234.18,180.38,358.56,181.41,335.83,122.78,104.66,303.74,153.94,178.58,333.95 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS/Watt)",HIB,0.428,0.323,0.494,0.508,0.276,0.246,0.312,0.253,0.258,0.253,0.564,0.662,0.735,0.518,0.862,0.62,0.613,0.706,0.457,0.55,0.52,0.453 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,299.76,554.33,290.6,518.28,313.73,589.92,312.09,583.5,444.93,243.3,672.33,304.67,254.04,534.58,229.47,541.66,138.95,120.39,325.96,170.07,212.15,369.36 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,268.15,588.27,252.77,616.75,291.26,614.16,287.68,609.51,388.48,223.15,623.33,329.8,273.01,573.82,256.1,558.27,121.97,107.81,265.24,142.62,175.23,295.44 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,293.93,588.21,290.77,574.5,307.39,605.57,306.2,606.68,440.54,227.88,642.74,323.21,263.32,534.76,249.28,515,131.5,114.16,310.43,146.96,190.51,363.45 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,292.18,535.88,281.84,606.49,308.64,577.01,306.37,571.94,432.31,238.47,653.11,290.44,244.64,559.19,219.88,522.41,135.52,117.68,311.45,164.56,204.48,352.84 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,259.12,622.79,299.63,573.74,283.63,606.6,281.43,599.93,375.01,217.25,696.59,320.39,265.51,548.32,245.02,564.91,118.24,103.3,248.8,134.74,165.73,277.62 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,292.35,584.71,288.94,571.36,304.87,603.55,303.61,602.84,436.59,225.09,640.62,319.28,259.52,533.99,248.39,518.09,131.28,112.81,313.79,147,188.73,365.31 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,296.81,625.45,288.49,591.05,255.3,627.62,301.86,630.06,453.46,239.04,682.63,332.91,261.28,553.25,264.01,526.9,129.01,113.27,310.52,142.92,178.41,386.65 "OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec/Watt)",HIB,0.074,0.061,0.106,0.091,0.063,0.047,0.061,0.053,0.039,0.041,0.081,0.098,0.107,0.086,0.133,0.107,0.139,0.145,0.106,0.136,0.121,0.094 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,336.31,681.46,338.48,677.36,268.43,682.67,334.1,681.19,521.41,261.49,764.28,383.1,291.85,600.41,308.84,596.49,148.12,127.12,377.24,183.09,235.42,463.55 "OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec/Watt)",HIB,0.065,0.056,0.091,0.08,0.06,0.043,0.056,0.049,0.034,0.037,0.072,0.085,0.096,0.079,0.114,0.095,0.121,0.129,0.087,0.107,0.092,0.079 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,311.6,631.92,308.08,630.9,317.76,652.41,318.09,650.92,476.45,241.12,718.49,367.12,273.92,577.89,289.58,573.28,136.83,119.14,346.87,154.91,195.57,395.24 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec/Watt)",HIB,0.079,0.068,0.088,0.077,0.063,0.055,0.07,0.06,0.047,0.049,0.084,0.094,0.112,0.091,0.13,0.111,0.135,0.142,0.061,0.079,0.069,0.058 "LuxCoreRender - CPU Power Consumption Monitor (Watts)",LIB,323.08,646.27,320.73,639.12,326.79,656.04,327.46,656.25,499.14,249.69,722.97,373.72,296.6,586.21,298.61,551.09,150.1,128.09,321.3,191.46,223.98,364.17 "LuxCoreRender - Scene: Orange Juice - Acceleration: CPU (M samples/sec/Watt)",HIB,0.042,0.029,0.046,0.031,0.036,0.026,0.038,0.025,0.029,0.035,0.046,0.066,0.072,0.051,0.08,0.059,0.092,0.101,0.053,0.083,0.071,0.048 "LuxCoreRender - CPU Power Consumption Monitor (Watts)",LIB,319.52,636.83,318.84,634.64,324.24,650.43,325.06,649.71,492.26,250,620.51,365.21,284.2,537.06,288.11,450.3,149.9,131.25,297.7,172.93,215.89,344.5 "LuxCoreRender - Scene: LuxCore Benchmark - Acceleration: CPU (M samples/sec/Watt)",HIB,0.022,0.014,0.025,0.014,0.019,0.01,0.021,0.011,0.013,0.017,0.017,0.034,0.04,0.02,0.043,0.021,0.049,0.053,0.022,0.046,0.039,0.02 "LuxCoreRender - CPU Power Consumption Monitor (Watts)",LIB,330.53,664.56,326.43,654.92,331.26,665.76,330.29,668.4,511.71,255.3,739.45,384.12,299.39,573.93,311.89,561.1,156.14,128.95,295.99,180.3,225.44,341.83 "LuxCoreRender - Scene: DLSC - Acceleration: CPU (M samples/sec/Watt)",HIB,0.026,0.017,0.029,0.019,0.023,0.015,0.024,0.016,0.018,0.022,0.031,0.042,0.048,0.031,0.054,0.039,0.06,0.066,0.026,0.052,0.045,0.023 "Appleseed - CPU Power Consumption Monitor (Watts)",LIB,287.38,558.49,282.12,529.15,328.29,604.56,299.9,609.71,465.64,259.51,,308.24,254.33,,224.95,,137.83,115.79,,135.79,166.47, "Blender - CPU Power Consumption Monitor (Watts)",LIB,311.52,575.47,303.23,545.55,322.02,603.68,320.19,605.47,471.81,251.6,553.98,316.57,272.23,483.45,255.66,438.61,148.28,127.16,347.76,186.05,235.7,397.69 "Blender - CPU Power Consumption Monitor (Watts)",LIB,340.87,666.99,339.43,660.14,343.06,675.87,342.89,673.68,521,265.95,738.74,388.09,319.36,632.52,321.43,614.31,166.92,139.56,442.07,219.92,282.74,517.76 "Blender - CPU Power Consumption Monitor (Watts)",LIB,332.25,638.84,330.4,624.76,336.64,656.12,337.24,654.26,509.42,261.74,677.05,370.95,312.47,592.5,304.63,465.54,163.93,133.17,415.82,217.74,280.84,523.16 "Blender - CPU Power Consumption Monitor (Watts)",LIB,313.33,570.45,303.18,546.98,321.04,607.36,319.1,602.46,473.37,251.93,561.28,322.13,277.68,491.93,261.77,447.74,152.85,126.35,350.36,193.48,247.1,429.78 "Blender - CPU Power Consumption Monitor (Watts)",LIB,330.03,636.73,326.8,621.31,334.43,652.82,335.02,648.81,509.54,262.14,671.43,365.01,300.94,570.92,295.34,534.08,159.04,130.93,410.34,214.19,273.8,509.44 "Blender - CPU Power Consumption Monitor (Watts)",LIB,303.66,556.95,297.61,522.14,316.78,589.35,311.66,584.52,467.53,250.52,521.92,314.77,264.26,465.75,247.78,414.63,146.16,121.31,337.47,189.01,237.13,401.76 "OpenRadioss - CPU Power Consumption Monitor (Watts)",LIB,321.19,600.33,313.77,561.7,328.51,624.98,329.11,619.95,469.12,250.92,526.7,309.02,270.92,495.69,249.04,450.48,143.22,128.33,,,, "OpenRadioss - CPU Power Consumption Monitor (Watts)",LIB,331.72,647.82,328.15,633.7,335.98,661.11,334.64,658.11,505.66,259.44,702.37,370.43,303.45,595.98,297.41,554.53,147.36,129.32,,,, "OpenRadioss - CPU Power Consumption Monitor (Watts)",LIB,289.5,545.45,272.03,504.55,302.43,570.84,297.92,572.24,424.07,232.77,493.1,276.69,238.37,439.02,210.23,357.25,127.55,113.05,,,, "OpenFOAM - CPU Power Consumption Monitor (Watts)",LIB,345.17,677.95,342.05,662.55,345.8,682.47,345.66,683.58,530.36,267.82,754.07,383.05,315.41,646.4,299.74,608.58,151.27,136.84,,,, "OpenFOAM - CPU Power Consumption Monitor (Watts)",LIB,321.01,612,309.91,575.65,327.52,635.4,326.72,635.45,494.65,257.16,654.7,354.56,291.57,556.32,279.79,494.35,144.44,127.4,,,, "BRL-CAD - CPU Power Consumption Monitor (Watts)",LIB,343.48,322.45,344.14,310.13,344.46,388.83,345.21,393.74,208.64,266.19,279.26,122.33,108.44,253.41,92.03,216.96,163.9,136.21,121.84,47.88,49.98,124.58 "BRL-CAD - VGR Performance Metric (VGR Performance Metric/Watt)",HIB,2427.744,12829.713,2664.368,16724.437,2072.641,9409.683,2224.181,10350.359,11028.559,1618.732,22179.786,25526.512,29152.602,24316.784,37864.302,27017.582,5198.177,5662.817,18379.52,31502.681,32830.836,19660.232 "Xcompact3d Incompact3d - CPU Power Consumption Monitor (Watts)",LIB,344.75,681.46,333.9,675.14,342.5,685.84,345.35,686.09,531.6,267.65,750.96,359.91,296.94,638.9,271.32,591.17,140.74,129.67,,,, "Xcompact3d Incompact3d - CPU Power Consumption Monitor (Watts)",LIB,278.29,495.02,251.56,426.75,288.56,524.04,283.32,524.59,415.93,237.24,431.35,254.46,216.15,371,200.17,313.08,124.9,114.52,,,, "NWChem - CPU Power Consumption Monitor (Watts)",LIB,346.91,695.26,347.16,694.86,343.96,692.7,345.72,695.19,537.29,268.9,811.84,406.11,345.69,703.69,342.47,698.14,162.23,137.83,,,, "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,215.9,400.48,158.85,323.22,223.5,424.86,226.18,429.08,325.09,188.84,299.85,161.61,149.28,279.06,154.31,248.47,97.98,88.65,,,, "NAS Parallel Benchmarks - Test / Class: CG.C (Mop/s/Watt)",HIB,156.606,145.148,401.377,305.562,157.124,153.926,155.777,154.965,119.68,119.97,295.111,384.091,356.265,302.724,283.842,254.616,226.885,244.609,,,, "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,161.26,328.87,125.05,291.62,172.14,362.6,179.93,377.22,248.03,151.33,263.66,120.62,109.02,236.74,99.22,248.27,70.53,65.48,,,, "NAS Parallel Benchmarks - Test / Class: MG.C (Mop/s/Watt)",HIB,517.494,496.644,858.239,757.48,499.075,476.052,480.219,454.469,446.481,378.759,928.221,1119.201,1070.683,823.456,1265.546,988.646,906.458,953.719,,,, "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,242.56,473.71,225.16,405.72,256.12,520.51,262.81,526.3,386.95,211.05,348.31,198.04,176.27,316.24,156.42,307.47,108.72,97.74,,,, "NAS Parallel Benchmarks - Test / Class: IS.D (Mop/s/Watt)",HIB,11.814,8.36,18.03,18.332,11.909,7.333,11.707,7.258,8.646,10.738,35.302,32.045,29.667,32.063,36.454,31.78,25.26,27.818,,,, "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,296.18,533.96,265.82,442.63,309.61,558.68,303.7,563.63,444.12,248.45,426.04,255.3,228.74,394.96,215.95,376.89,134.2,119.33,,,, "NAS Parallel Benchmarks - Test / Class: SP.C (Mop/s/Watt)",HIB,240.551,275.884,411.618,515.524,189.967,243.324,229.752,251.859,203.592,151.211,916.624,882.532,547.318,649.644,590.509,567.854,393.051,441.5,,,, "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,268.4,499.73,241.46,403.9,280.72,537.56,292.98,538.25,417.78,233.13,394.59,224.61,201.73,354.21,198.26,325.31,118.96,107.92,,,, "NAS Parallel Benchmarks - Test / Class: LU.C (Mop/s/Watt)",HIB,503.441,522.536,960.887,1127.297,449.456,459.151,449.2,478.185,445.1,422.752,1398.792,1613.952,1333.708,1335.18,1409.218,1808.53,1120.427,1212.351,,,, "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,291.31,520.43,276.68,471.7,254.67,537.97,270.13,561.84,440.29,242.36,495.73,307.77,242.89,416.97,234.01,379.03,129.08,113.27,,,, "NAS Parallel Benchmarks - Test / Class: EP.D (Mop/s/Watt)",HIB,25.961,28.72,29.236,33.928,21.074,20.392,23.86,22.77,20.171,18.482,44.715,37.119,43.855,46.562,53.739,58.089,49.709,50.719,,,, "Pennant - CPU Power Consumption Monitor (Watts)",LIB,287.94,535.71,279.92,489.66,303.18,573.95,298.37,569.16,438.87,239.83,404.01,242.71,200.64,351.84,182.99,310.27,123.57,110.49,,,, "Pennant - CPU Power Consumption Monitor (Watts)",LIB,222.1,414.55,191.11,342.65,241.62,448.22,234.93,450.17,344.84,215.77,370.49,196.35,170.76,322.18,156.67,291.74,107.18,95.67,,,, "High Performance Conjugate Gradient - CPU Power Consumption Monitor (Watts)",LIB,344.43,688.79,340.38,685.14,344.79,690.6,345.19,683.79,529.99,266.5,722.2,330.25,273.24,612.13,238.17,563.2,141.98,131.23,,,, "High Performance Conjugate Gradient - X Y Z: 144 144 144 - RT: 60 (GFLOP/s/Watt)",HIB,0.09,0.088,0.103,0.101,0.073,0.079,0.089,0.092,0.057,0.077,0.062,0.084,0.104,0.069,0.099,0.074,0.156,0.169,,,, "GPAW - CPU Power Consumption Monitor (Watts)",LIB,322.66,606.84,314.73,568.78,327.19,621.08,324.94,622.05,497.52,257.77,641.29,353.01,300.58,562.66,293.6,513.29,154.54,136.93,,,, "QMCPACK - CPU Power Consumption Monitor (Watts)",LIB,337.54,670.52,335.13,660.86,323.64,673.9,338.77,676.4,524.73,263.86,767.28,391.36,316.1,635.44,319.33,628.81,154.43,132.24,,,, "QuantLib - CPU Power Consumption Monitor (Watts)",LIB,325.01,651.9,322.97,650.23,321.14,660.57,328.34,662.07,507.54,253.81,730.61,369.92,316.09,644.13,311.83,633.06,157.98,127.97,418.9,210.04,273.26,543.14 "QuantLib - Configuration: Multi-Threaded (MFLOPS/Watt)",HIB,552.74,537.18,605.775,585.747,447.644,436.185,495.612,477.833,359.313,358.685,881.583,864.576,930.7,921.008,1200.708,1200.397,1092.364,1202.803,1089.214,1113.277,960.37,956.274 "QuantLib - CPU Power Consumption Monitor (Watts)",LIB,100.48,241.52,79.4,238.94,120.93,287.73,129.58,292.75,183.87,92.78,244.1,105.22,92.05,217.74,74.58,184.09,52.79,51.72,106.82,43.81,44.69,108.03 "QuantLib - Configuration: Single-Threaded (MFLOPS/Watt)",HIB,31.944,13.291,45.349,15.009,26.675,11.146,24.919,11.009,13.915,27.318,12.804,29.597,33.742,14.23,34.812,14.074,49.122,50.135,16.483,40.298,43.869,18.09 "CloverLeaf - CPU Power Consumption Monitor (Watts)",LIB,346.05,685.99,289.13,524.03,345.92,677.8,346.15,680.25,529.36,267.62,538.72,301.76,250.17,483.81,200.7,388.45,143.82,132.66,440.67,186.46,205.96,466.63 "CloverLeaf - CPU Power Consumption Monitor (Watts)",LIB,320.54,611.92,299.62,552.24,324.2,623.99,323.64,627.92,479,254.93,499.33,264.63,223.18,437.97,183.89,366.92,132.55,122.03,364.67,168.7,184.14,389.09 "GROMACS - CPU Power Consumption Monitor (Watts)",LIB,306.77,584.52,289.21,535.3,314,602.79,311.94,603.46,474.08,248.51,601.18,317.95,260.21,505.98,250.1,455.51,137.24,120.24,,,, "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day/Watt)",HIB,0.029,0.026,0.036,0.035,0.024,0.022,0.027,0.023,0.019,0.019,0.037,0.048,0.048,0.04,0.053,0.047,0.047,0.052,,,, "NAMD - CPU Power Consumption Monitor (Watts)",LIB,273.91,552.42,260.62,510.74,281.33,560.13,295.54,565.07,411.33,233.31,343.59,274.76,235.77,289.28,206.2,249.94,130.18,114.62,241.31,119.15,140.31,273.53 "NAMD - Input: STMV with 1,066,628 Atoms (ns/day/Watt)",HIB,0.004,0.002,0.006,0.004,0.005,0.003,0.005,0.003,0.004,0.005,0.019,0.012,0.012,0.018,0.014,0.023,0.012,0.013,0.003,0.004,0.004,0.002 "NAMD - CPU Power Consumption Monitor (Watts)",LIB,258.53,533.68,236.13,484.77,248.99,522.05,269.88,550.3,389.17,216.04,326.5,180.85,187.68,262.91,165.67,225.05,109.51,96.77,236.64,112.28,132.04,266.5 "NAMD - Input: ATPase with 327,506 Atoms (ns/day/Watt)",HIB,0.011,0.004,0.02,0.012,0.024,0.014,0.022,0.005,0.017,0.017,0.064,0.052,0.044,0.068,0.048,0.084,0.052,0.056,0.011,0.034,0.029,0.009 "ASKAP - CPU Power Consumption Monitor (Watts)",LIB,314.14,626.07,297.8,562.35,311.12,633.57,309.44,637.73,496.22,248.29,611.81,300.8,245.74,519.5,214.21,492.69,126.56,115.4,,,, "ASKAP - Test: tConvolve MPI - Gridding (Mpix/sec/Watt)",HIB,67.85,66.723,125.136,128.042,69.962,67.774,75.135,70.868,29.215,38.761,199.37,247.301,188.139,167.001,134.702,109.736,130.955,142.115,,,, "miniFE - CPU Power Consumption Monitor (Watts)",LIB,224.98,424.3,198.71,366.83,253.53,498.77,260.35,500.61,326.82,190.48,330.55,177.88,152.24,309.09,127.63,258.88,96.36,86.83,215.79,108.34,119.29,225.73 "miniFE - Problem Size: Small (CG Mflops/Watt)",HIB,156.594,110.483,160.181,114.806,79.244,39.851,71.524,43.114,94.996,120.523,179.901,298.897,334.412,140.835,392.866,162.673,254.515,282.716,183.427,373.284,340.557,165.956 "m-queens - CPU Power Consumption Monitor (Watts)",LIB,266.4,497.84,278.57,481.61,241.11,465.55,260.39,502.47,431.33,238.8,412.8,267.9,221.83,366.51,202.95,316.2,122.5,106.99,317.88,180.19,226.9,381.31 "LAMMPS Molecular Dynamics Simulator - CPU Power Consumption Monitor (Watts)",LIB,343.29,680.62,341.9,673.08,345.23,685.33,344.05,682.64,530.19,266.98,785.79,399.48,318.64,633.05,318.23,624.63,153.16,132.09,,,, "LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day/Watt)",HIB,0.102,0.074,0.11,0.084,0.082,0.068,0.093,0.076,0.067,0.08,0.079,0.117,0.133,0.09,0.151,0.094,0.18,0.192,,,, "LAMMPS Molecular Dynamics Simulator - CPU Power Consumption Monitor (Watts)",LIB,137.71,354.59,100.63,283.35,150.09,368.48,147.45,384.54,226.26,113.55,300.13,111.71,97.2,265.38,89.57,252.99,52.44,48.67,,,, "LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day/Watt)",HIB,0.209,0.119,0.341,0.196,0.184,0.129,0.209,0.136,0.148,0.186,0.179,0.358,0.372,0.189,0.451,0.204,0.462,0.451,,,, "miniBUDE - CPU Power Consumption Monitor (Watts)",LIB,316.19,578.13,323.61,600.52,286.83,605.49,314.81,621.91,494.9,257.94,581.3,340.93,283.82,495.6,274.94,431.39,144.45,124.23,361.96,174.56,223.09,444.54 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (Billion Interactions/s/Watt)",HIB,0.275,0.244,0.334,0.319,0.245,0.211,0.248,0.215,0.196,0.191,0.532,0.551,0.605,0.588,0.847,0.669,0.746,0.789,0.216,0.225,0.196,0.195 "miniBUDE - CPU Power Consumption Monitor (Watts)",LIB,255.91,459.2,239.11,396.77,242.48,476.05,253.17,496.58,417.23,229.13,387.38,237.41,194.1,332.37,162.7,293.27,106.48,94.19,300.28,157.01,196.03,357 "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (Billion Interactions/s/Watt)",HIB,0.324,0.291,0.445,0.503,0.262,0.228,0.28,0.231,0.204,0.206,0.611,0.64,0.706,0.655,1.413,0.732,1.008,1.043,0.255,0.249,0.222,0.236 "LULESH - CPU Power Consumption Monitor (Watts)",LIB,218.49,494.73,246.63,492.01,237.51,533.2,248.64,531.65,420.13,204.51,446.2,209.57,181.42,394.86,180.07,376.23,113.47,103.72,298.06,155.54,175.39,327.25 "LULESH - (z/s/Watt)",HIB,105.599,88.379,155.837,143.954,100.411,97.716,103.891,100.197,50.913,84.831,122.543,130.205,143.767,123.489,134.497,122.601,149.38,162.516,144.084,167.314,153.168,134.873 "RELION - CPU Power Consumption Monitor (Watts)",LIB,344.24,679.44,341.82,665.17,345.11,683.82,344.98,682.36,531.46,267.6,752.52,394.87,320.59,622.74,270.75,553.69,163.61,148.71,,,, "ACES DGEMM - CPU Power Consumption Monitor (Watts)",LIB,252.19,453.94,239.87,390.95,276.9,507,277.15,496.59,398.61,226.98,364.55,230.52,182.5,302.67,178.2,290.43,109.94,95.47,277.33,148.35,170.6,312.9 "ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s/Watt)",HIB,0.093,0.101,0.121,0.149,0.071,0.078,0.081,0.09,0.063,0.059,0.215,0.196,0.214,0.228,0.252,0.292,0.198,0.22,0.114,0.107,0.105,0.112 "WRF - CPU Power Consumption Monitor (Watts)",LIB,348.04,696.45,346.87,696.98,344.06,697.26,348.35,697.18,532.99,269.24,789.57,373.92,300.18,658.99,281.34,632.77,145.37,129.9,,,, "Algebraic Multi-Grid Benchmark - CPU Power Consumption Monitor (Watts)",LIB,296.41,591.89,285.81,553.59,295.22,593.28,297.94,600.53,465.7,232.24,601.82,286.5,241.77,504.15,214.44,502.96,123.07,110.44,,,, "Algebraic Multi-Grid Benchmark - (Figure Of Merit/Watt)",HIB,5415151.056,5278683.301,6349445.213,6520382.598,5380716.027,5320019.076,5363427.408,5337195.705,1552824.491,4622831.256,7422966.054,8293777.779,9442032.066,8578578.697,10610537.816,5533330.979,9344903.379,10387087.222,,,, "Google SynthMark - CPU Power Consumption Monitor (Watts)",LIB,93.65,234.1,102.83,256.19,113.78,306.14,120.87,277.45,183.65,93.31,241.28,103.33,90.1,216.87,72.82,181.43,50.47,49.36,106.55,43.76,43.78,108.46 "Google SynthMark - Test: VoiceMark_100 (Voices/Watt)",HIB,7.626,3.044,7.777,3.121,6.25,2.322,5.891,2.567,2.986,5.954,3.246,7.582,8.699,3.607,9.006,3.61,12.984,13.295,4.64,11.291,12.34,4.969 "Coremark - CPU Power Consumption Monitor (Watts)",LIB,293.49,548.16,313.68,590.2,261.99,519.35,282.3,557.64,420.6,242.89,617.5,341.96,296.23,535.89,269.93,489.3,144.77,122.91,301.62,158.45,213.94,396.71 "Coremark - CoreMark Size 666 - Iterations Per Second (Iterations/Sec/Watt)",HIB,7477.769,7118.465,7555.564,8414.462,6163.4,5763.196,6571.616,5880.624,4373.415,5016.557,13681.179,12144.305,13254.143,14883.363,16764.474,16699.882,15712.092,16836.692,21799.947,18400.488,15612.902,18406.919 "SecureMark - CPU Power Consumption Monitor (Watts)",LIB,91.51,232.4,85.06,248.23,120.26,281.43,126.1,284.83,192.93,97.85,261.84,111.99,98.33,235.38,78.24,196.37,53.23,52.31,106.76,43.71,44.1,108.17 "SecureMark - Benchmark: SecureMark-TLS (marks/Watt)",HIB,3029.2,1185.32,3643.381,1242.557,2308.757,986.368,2198.707,973.545,1197.695,2364.517,1152.375,2686.162,3034.031,1272.879,3204.233,1278.585,4697.252,4781.857,1847.991,4501.162,4990.151,2010.974 "Speedb - CPU Power Consumption Monitor (Watts)",LIB,330.55,658.68,325.5,573.79,331.78,654.26,333.11,666.91,510.96,256.25,575.41,343.59,283.98,496.84,244.15,428.8,150.95,122.29,358.61,169.23,198.15,398.75 "Speedb - Test: Read While Writing (Op/s/Watt)",HIB,32356.037,26260.047,37383.406,30648.421,26509.913,21183.203,29984.576,23023.232,23084.612,27890.685,57884.556,57032.771,63472.871,61034.967,93506.835,85339.034,79851.054,97163.654,77049.127,103697.416,90565.21,69360.789 "Speedb - CPU Power Consumption Monitor (Watts)",LIB,330.77,660.7,327.52,654.93,310.76,652.02,327.7,666.37,511.53,255.89,767.34,382.79,274.09,567.45,296.2,596.13,150.73,120.08,472.86,235.82,311.77,621.56 "Speedb - Test: Random Read (Op/s/Watt)",HIB,834970.472,834394.351,962315.697,894980.08,680456.82,644065.874,744809.116,747196.351,506592.638,509439.259,1380809.625,1404496.492,1563545.137,1511464.502,1991742.681,1962564.718,1818446.427,2023204.528,2449964.806,2531402.051,2159153.276,2130388.237 "RocksDB - CPU Power Consumption Monitor (Watts)",LIB,330.54,656.04,323.9,558.28,332.58,651.38,331.82,663.3,510.9,255.9,671.28,383.63,300.55,576.34,301.4,505.19,155.39,134,350.26,179.48,208.52,400.79 "RocksDB - Test: Read While Writing (Op/s/Watt)",HIB,23723.763,18781.267,27560.284,22256.949,22369.26,14775.494,22200.615,16920.458,19253.515,21648.99,29572.893,36906.825,48605.69,34889.647,52342.461,45330.18,60067.213,66672.697,69851.749,63183.026,56900.618,67516.293 "RocksDB - CPU Power Consumption Monitor (Watts)",LIB,330.58,663.47,328.84,658.59,309.28,666.86,332.82,667.81,512.86,255.83,768.58,384.04,268.72,551.56,292.89,595.15,149.48,119.15,472.92,235.93,311.76,624.29 "RocksDB - Test: Random Read (Op/s/Watt)",HIB,802721.251,791368.938,904750.009,878232.537,663946.02,608125.969,704496.503,709419.371,489869.477,490897.229,1341709.997,1362651.036,1523041.949,1477897.339,1957165.935,1907427.817,1780768.795,1972313.572,2359232.601,2436056.021,2069916.274,2038972.596 "Memcached - CPU Power Consumption Monitor (Watts)",LIB,287.94,545.78,262.73,492.94,291.06,550.54,302.36,567.79,450.49,239.75,543.22,334.34,264.56,472.39,235.06,393.77,137.94,113.8,222.11,107.16,124.44,250.13 "Memcached - Set To Get Ratio: 1:100 (Ops/sec/Watt)",HIB,15564.525,5947.325,18089.297,7668.806,15062.127,6127.333,14272.391,5975.545,10688.229,20130.485,15985.006,25824.733,31074.263,17990.135,32910.933,19415.876,44935.744,51146.062,8031.4,21456.139,18800.356,7280.696 "PostgreSQL - CPU Power Consumption Monitor (Watts)",LIB,302.76,544.97,271.55,487.56,311.81,563.23,316.32,578.23,468.46,239.92,584.31,355.49,271.07,495.05,253.4,404.84,138.72,121.21,244.42,127.3,153.46,276.72 "PostgreSQL - CPU Power Consumption Monitor (Watts)",LIB,299.36,519.08,275.46,361.27,311.42,553.8,315.59,561.38,454.63,239.87,483.2,299.03,254.31,431.32,207.74,361.97,135.16,110.68,242.14,150.61,172.92,262.99 "ClickHouse - CPU Power Consumption Monitor (Watts)",LIB,205.71,396.39,176.29,340.3,238.9,469.37,241.61,466.07,282.88,174.43,314,160.48,138.04,280.91,109.76,230.4,82.96,76.83,157.43,77.27,84.55,164.81 "ClickHouse - 100M Rows Hits Dataset, Third Run (Queries/min, Geo Mean/Watt)",HIB,2.341,1.265,2.599,1.289,1.967,1.068,1.974,1.012,1.043,1.966,1.676,3.709,4.053,1.87,4.182,1.857,4.085,4.366,2.038,4.917,4.737,2.049 "Apache IoTDB - CPU Power Consumption Monitor (Watts)",LIB,216.73,425.12,171.59,337.01,249.87,494.07,254.04,495.29,305.48,176.97,298.36,157,138.03,264.94,110.92,220.99,82.51,76.32,186.81,80.98,87.52,192.21 "Apache IoTDB - CPU Power Consumption Monitor (Watts)",LIB,204.83,422.43,159.48,329.73,242.09,485.64,245.7,492.49,293.48,163.52,291.76,141.12,122.12,254.51,100.77,215.97,72.92,68.28,182.78,76.38,82.74,192.34 "John The Ripper - CPU Power Consumption Monitor (Watts)",LIB,297.81,628.83,311.42,619.88,252.7,532.41,277.33,597.63,489.17,243.89,719.09,362.14,318.91,645.56,348.48,688.39,159.97,132.61,417.06,198.18,257.31,519.11 "John The Ripper - Test: WPA PSK (Real C/S/Watt)",HIB,1347.41,1261.475,1374.722,1285.88,1133.974,1057.218,1204.614,1100.827,1004.94,1017.122,1799.495,1853.75,2017.719,1941.48,2304.833,2253.096,2414.267,2563.928,881.552,953.294,815.371,784.52 "John The Ripper - Test: bcrypt (Real C/S/Watt)",HIB,305.824,292.685,342.684,334.528,256.345,241.559,273.696,256.68,231.512,233.71,523.956,531.63,606.473,573.886,759.599,705.604,749.166,920.407,816.033,885.933,746.758,712.792 "John The Ripper - CPU Power Consumption Monitor (Watts)",LIB,308.91,627.31,308.68,618.12,264.03,553.66,288.1,605.28,488.8,243.63,709.94,362.61,274.61,556.51,289.87,583.61,135.67,101.56,444.03,214.53,282.96,561.7 "John The Ripper - Test: Blowfish (Real C/S/Watt)",HIB,305.954,291.558,339.84,332.346,257.143,243.04,274.735,258.82,231.635,233.582,527.638,531.077,605.492,568.709,757.826,711.796,753.262,805.428,818.185,885.523,747.264,720.563 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,337.59,685.93,339.43,684.71,283.74,591.08,311.09,648.38,529.37,264.65,801.95,401.15,330.48,672.12,360.05,727.96,164.05,139.18,447.17,211.59,277.13,565.2 "OpenSSL - Algorithm: ChaCha20-Poly1305 (byte/s/Watt)",HIB,666607882.232,644676877.167,658820863.842,648595124.994,568545794.248,542055990.773,603664493.394,574875604.572,554436256.618,552257367.632,957228032.133,957073830.822,1061980440.863,1039886433.305,1269363721.237,1244610923.327,1287300050.021,1388893901.1,536427227.193,569925760.918,483646931.537,471667041.653 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,323.5,666.88,341.17,681.84,279.08,580.95,309.29,617.86,528.62,264.55,802.61,400.2,333.21,676.63,365.67,734.92,168.33,140.34,438.73,205.47,269.68,550.19 "OpenSSL - Algorithm: ChaCha20 (byte/s/Watt)",HIB,977212174.268,936302176.041,1008751851.933,1003586866.34,811931853.539,774438543.705,852735838.292,846331621.988,804835329.471,802490465.578,1353849347.71,1361592598.325,1510491450.863,1480134319.021,1795036060.876,1778324265.615,1824186596.162,2009755510.332,804207062.623,862670148.374,730208953.757,712317847.215 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,341.81,685.37,341.83,682.81,307.21,637.41,330.83,676.75,529.73,264.83,801.19,400.94,329.31,667.48,345.26,697.23,165.11,139.04,491.39,245.57,323.62,648.54 "OpenSSL - Algorithm: AES-256-GCM (byte/s/Watt)",HIB,2048623453.067,1998240264.777,2177657519.609,2193171119.606,1651813451.146,1587520126.44,1789501537.543,1745319585.655,1345006115.812,1344485766.049,2139406659.572,2144285710.422,2331206946.711,2286984508.787,2889219779.917,2844279712.451,2800094011.975,2991193842.104,1993158291.384,2061752146.929,1758065363.324,1735227671.897 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,329.5,673.67,342.1,683.16,315.01,649.22,337.66,684.67,529.01,264.55,802.39,401.21,334.06,676.55,348.22,703.84,167.37,140.35,491.31,245.4,324.08,648.42 "OpenSSL - Algorithm: AES-128-GCM (byte/s/Watt)",HIB,2333237948.273,2275619248.607,2600338214.728,2589909503.867,2035473064.321,1967868118.176,2214398499.057,2168460340.433,1525932773.144,1510207805.118,2480518885.864,2482510440.025,2686039538.134,2638396951.998,3351926704.37,3291374680.153,3225126995.217,3483917754.1,2230951841.303,2305290901.873,1970077384.371,1953802430.199 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,341.09,686.01,341.79,684.47,299.98,626.29,330.77,677.46,525.18,264.79,800.66,400.14,308.23,626.99,334.48,676.44,157.87,133.8,491.84,244.72,323.63,646.95 "OpenSSL - Algorithm: SHA512 (byte/s/Watt)",HIB,65144677.296,62457308.503,69884736.571,67966151.085,54000562.667,51580447.521,57121711.228,55449110.374,42041804.183,41470367.425,114225793.097,114623223.179,128564080.982,125714359.157,157697655.074,154893248.591,154425638.145,165874523.259,159806130.438,165922834.04,139323873.721,137868745.001 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,326.01,663.83,341.03,683.42,282.15,591.26,309.57,642.97,527.27,264.5,802.07,400.88,327.28,665.36,334.62,678.72,159,132.64,443.24,212.71,278.96,565.33 "OpenSSL - Algorithm: SHA256 (byte/s/Watt)",HIB,189585676.929,179424218.788,195213927.957,193109819.083,157500377.521,149911179.445,167457577.179,160789835.778,103421352.659,105324899.054,344443539.202,345260515.928,386445411.79,378210579.188,481947170.761,471857277.56,469088919.271,511227929.805,578313018.503,611047359.481,516781889.876,507731880.451 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,335.05,686.36,342.08,686.24,302.47,629.88,326.8,669.72,528.71,265.1,784.12,391.59,291.95,605.29,320.74,654.68,154.87,122.85,369.51,173.05,221.12,456.73 "OpenSSL - Algorithm: RSA4096 (verify/s/Watt)",HIB,2907.569,2791.77,3030.658,2997.545,2306.661,2215.41,2489.804,2430.792,2079.561,2215.622,4099.327,4121.234,4919.81,4728.284,5836.731,5696.67,5691.681,6595.71,4004.977,4295.142,3735.678,3600.275 "Timed ImageMagick Compilation - CPU Power Consumption Monitor (Watts)",LIB,186.22,362.03,162.46,295.33,220.79,435.59,220.24,429.23,252.21,152.46,273.56,139.23,120.39,245.77,97.43,204.88,69.48,65.12,137.3,69.56,74.98,143.22 "Timed Mesa Compilation - CPU Power Consumption Monitor (Watts)",LIB,172.35,374.89,176.64,324.23,232.74,446.38,228.31,442.47,266.43,166.64,287.81,153.28,132.61,251.26,109.13,215.57,79,73.01,137.28,71.87,79.63,146.41 "Timed LLVM Compilation - CPU Power Consumption Monitor (Watts)",LIB,298.24,544.93,291.41,519.72,314.74,591.84,311.03,582.56,438.51,243.86,491.18,289.22,241.32,427.31,221.05,382.15,134,117.14,248.44,148.04,172.6,281.29 "Timed Gem5 Compilation - CPU Power Consumption Monitor (Watts)",LIB,228.11,415.56,215.42,377.81,257.31,479.92,254.21,472.13,327.07,194.29,360.36,201.66,170.81,320.45,144.58,270.24,96.65,87.52,164.39,90.66,103.5,178.9 "Timed Node.js Compilation - CPU Power Consumption Monitor (Watts)",LIB,305.63,555.35,295.74,529.15,318.88,601.52,317.34,584.7,455.83,248.06,490.25,289.15,242.47,430.05,210.13,361.3,134.67,118.09,256.25,148.97,170.44,287.54 "Timed Godot Game Engine Compilation - CPU Power Consumption Monitor (Watts)",LIB,255.97,461.39,236.2,430.41,285.63,527.95,282.51,519.6,352.55,217.11,383.39,222.04,188.63,338.4,152.32,276.98,110.14,97.75,184.93,109.04,124.67,202.24 "Timed FFmpeg Compilation - CPU Power Consumption Monitor (Watts)",LIB,220.08,400.67,198.27,348.01,250.86,470.97,251.37,467.2,301.65,184.1,314.5,171.98,151.49,281.94,124.42,238.4,90.17,81.55,158.14,88.1,101.96,172.28 "Timed Linux Kernel Compilation - CPU Power Consumption Monitor (Watts)",LIB,323.36,610.89,317.64,585.62,330.93,639.43,330.36,634.18,491.75,256.23,621.64,348.42,282.28,525.29,262.8,484.57,150.79,129.6,339.12,201.59,255.14,416.56 "Timed Linux Kernel Compilation - CPU Power Consumption Monitor (Watts)",LIB,234.11,425.97,214.95,384.63,265.23,492.26,260.34,486.28,340.2,197.71,375.56,210.93,175.53,317.6,155.1,283.46,97.22,87.28,183.63,106.04,123.43,202.81

2024 Server CPUs