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Linux 6.9 + Ubuntu 22.04 Intel AMD Server CPU Benchmarks Benchmarks by Michael Larabel for a future article. ,,"EPYC 8534P","EPYC 8534PN","EPYC 9654","EPYC 9654 2P","EPYC 9684X","EPYC 9684X 2P","EPYC 9754","EPYC 9754 2P","Xeon Max 9468","Xeon Max 9468 2P","Xeon Max 9480","Xeon Max 9480 2P","Xeon Platinum 8490H","Xeon Platinum 8490H 2P","Xeon Platinum 8592+","Xeon Platinum 8592+ 2P" Processor,,AMD EPYC 8534P 64-Core @ 2.30GHz (64 Cores / 128 Threads),AMD EPYC 8534PN 64-Core @ 2.00GHz (64 Cores / 128 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 9684X 96-Core @ 2.55GHz (96 Cores / 192 Threads),2 x AMD EPYC 9684X 96-Core @ 2.55GHz (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),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),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) Motherboard,,AMD Cinnabar (RCB1009C BIOS),AMD Cinnabar (RCB1009C 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),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) Chipset,,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 Device 1bce,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce Memory,,6 x 32GB DDR5-4800MT/s Samsung M321R4GA0BB0-CQKMG,6 x 32GB DDR5-4800MT/s Samsung M321R4GA0BB0-CQKMG,12 x 64GB DDR5-4800MT/s Samsung M321R8GA0BB0-CQKEG,1520GB,12 x 64GB DDR5-4800MT/s Samsung M321R8GA0BB0-CQKEG,1520GB,12 x 64GB DDR5-4800MT/s Samsung M321R8GA0BB0-CQKEG,1520GB,576GB,1136GB,576GB,1136GB,512GB,1008GB,512GB,1008GB Disk,,2 x 1920GB KIOXIA KCD8XPUG1T92 + 2000GB Corsair MP700 PRO,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 Graphics,,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED Network,,2 x Broadcom NetXtreme BCM5720 PCIe,2 x Broadcom NetXtreme BCM5720 PCIe,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 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 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 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) 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 File-System,,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4 Screen Resolution,,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200 ,,"EPYC 8534P","EPYC 8534PN","EPYC 9654","EPYC 9654 2P","EPYC 9684X","EPYC 9684X 2P","EPYC 9754","EPYC 9754 2P","Xeon Max 9468","Xeon Max 9468 2P","Xeon Max 9480","Xeon Max 9480 2P","Xeon Platinum 8490H","Xeon Platinum 8490H 2P","Xeon Platinum 8592+","Xeon Platinum 8592+ 2P" "WRF - Input: conus 2.5km (sec)",LIB,16146.997,16609.781,10176.864,6918.021,7885.16,4431.344,11895.407,7365.863,13273.694,7157.961,12410.29,6840.057,11980.806,6674.12,10602.408,5601.101 "OpenVKL - Benchmark: vklBenchmarkCPU ISPC (Items / Sec)",HIB,1266,1177,2077,3335,2396,3906,2508,4012,1243,1776,1356,1852,1734,2716,2004,3222 "NWChem - Input: C240 Buckyball (sec)",LIB,2024.7,2224.6,1575.5,1558.4,1450.5,1429.9,1700,1712.6,2530.5,1785,2245.2,1873.1,2070.3,1960.9,1878.3,1809.7 "High Performance Conjugate Gradient - X Y Z: 144 144 144 - RT: 60 (GFLOP/s)",HIB,22.1972,22.1341,28.3185,42.5158,27.5824,44.9502,23.6266,41.8727,25.2423,54.4054,30.5872,62.6357,31.0738,60.8515,35.1361,69.2976 "RELION - Test: Basic - Device: CPU (sec)",LIB,468.688,496.241,238.881,145.647,176.422,93.168,360.207,201.265,412.371,214.416,384.384,201.382,373.182,203.407,290.448,155.741 "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,851997,771352,3161216,6162228,3122574,6193921,3484477,5861750,713937,3658790,767812,4075342,833892,4136969,916904,5186677 "Xcompact3d Incompact3d - Input: X3D-benchmarking input.i3d (sec)",LIB,567.286947,568.254049,466.548014,248.867315,309.847653,167.128164,534.059428,253.318553,407.589406,189.686116,351.644165,187.224004,357.009712,196.808116,323.245697,171.375778 "ASKAP - Test: tConvolve MT - Gridding (Million Grid Points/sec)",HIB,5826.44,5821.46,12394.6,12708.5,14955.6,14185.1,12731.8,11208.7,3375.32,3347.93,3406.96,4382.97,8088.11,7630.06,5062.07,6038.92 "CloverLeaf - Input: clover_bm16 (sec)",LIB,495.25,498.22,334.30,266.10,245.82,223.54,400.52,349.67,351.29,263.33,357.57,269.20,328.47,214.80,410.59,378.05 "TensorFlow - Device: CPU - Batch Size: 512 - Model: ResNet-50 (images/sec)",HIB,101.17,95.63,140.01,161.90,121.96,137.50,135.17,174.93,117.53,145.29,125.14,138.39,148.45,174.95,140.53,169.75 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency (ms)",LIB,0.384,0.414,0.278,0.293,0.251,0.289,0.292,0.329,0.559,1.027,0.622,1.098,0.572,1.293,0.589,1.149 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Only (TPS)",HIB,2606500,2416375,3603261,3422731,3989358,3480909,3422492,3044620,1792636,976035,1607424,920725,1748146,778141,1699046,881881 "TensorFlow - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec)",HIB,98.70,92.82,138.11,133.87,123.37,120.11,125.76,131.38,119.73,141.95,123.69,135.28,143.67,161.06,129.02,150.33 "PyTorch - Device: CPU - Batch Size: 512 - Model: ResNet-152 (batches/sec)",HIB,13.28,13.28,14.05,7.20,13.95,7.07,10.91,5.75,19.47,16.68,19.29,14.74,20.46,14.59,23.41,16.17 "PyTorch - Device: CPU - Batch Size: 256 - Model: ResNet-152 (batches/sec)",HIB,13.26,13.18,13.95,7.14,14.08,7.02,11.01,5.71,19.20,16.30,19.58,14.92,20.25,14.08,23.33,16.00 "Stockfish - Chess Benchmark (Nodes/s)",HIB,99198144,90658156,197708350,370751530,214524659,399124223,189763799,301202232,68019088,137977203,73592230,149409082,96887479,187761769,109766345,222610378 "OpenSSL - Algorithm: RSA4096 (verify/s)",HIB,881480.8,810291.8,1436324.9,2861959.8,1613828.7,3214376.3,1872096.1,3729470.8,697707.2,1395446.4,813667.6,1627941.4,974189.9,1916162.9,1036735.6,2057021.6 "OpenSSL - Algorithm: RSA4096 (sign/s)",HIB,25894.6,21047.5,35964.9,71942.0,48996.8,98237.0,53966.9,107830.6,22861.0,45531.0,25441.5,48534.8,27431.1,54601.1,31594.4,61499.6 "PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-152 (batches/sec)",HIB,13.19,13.15,13.84,7.04,13.89,7.08,10.88,5.79,19.01,15.84,19.24,14.96,20.13,14.03,23.49,16.25 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 (Latency)",LIB,65.66,64.93,53.77,61.07,52.93,61.46,58.11,66.54,90.02,94.84,89.53,95.39,85.16,92.23,81.73,82.73 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 (point/sec)",HIB,116879799,117884977,142102254,125595607,144760448,124947288,131781309,115317834,85744542,80770465,86354518,80139566,90871770,83651785,94616807,92771639 "Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,406.414,438.168,311.825,197.630,290.341,181.995,337.685,210.197,428.387,246.936,384.063,231.033,362.454,218.570,316.902,189.739 "SecureMark - Benchmark: SecureMark-TLS (marks)",HIB,250024,250162,298341,299610,300833,301740,250695,251075,277647,277589,277260,277298,277205,275472,309896,308434 "ClickHouse - 100M Rows Hits Dataset, Third Run (Queries/min, Geo Mean)",HIB,338.84,335.46,559.55,525.23,595.19,526.36,458.96,427.95,470.02,501.07,476.91,471.79,481.66,501.63,458.23,438.60 "ClickHouse - 100M Rows Hits Dataset, Second Run (Queries/min, Geo Mean)",HIB,337.32,337.44,562.50,529.80,597.73,528.21,450.12,420.35,465.06,499.18,474.68,467.96,486.05,507.56,455.79,443.58 "ClickHouse - 100M Rows Hits Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,323.59,322.69,536.82,504.84,566.31,513.92,433.79,411.26,446.40,491.89,461.62,460.66,465.50,485.63,437.20,423.30 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 (Latency)",LIB,251.47,251.05,211.85,240.43,209.68,246.08,227.40,253.13,314.44,328.41,309.03,325.97,294.33,317.36,280.26,286.78 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 (point/sec)",HIB,105432862,105138551,125562060,108821580,126161028,106778379,116685326,103630483,82455664,77501248,83475645,78057728,87797206,80169620,92709751,89231850 "OpenRadioss - Model: Chrysler Neon 1M (sec)",LIB,297.25,300.69,176.14,77.64,77.32,49.55,231.96,93.99,228.74,125.15,212.99,117.91,207.20,115.89,157.56,86.93 "Timed Gem5 Compilation - Time To Compile (sec)",LIB,242.931,251.606,185.300,164.899,176.876,161.936,212.546,192.977,220.569,184.298,215.496,181.629,210.934,178.282,187.507,157.363 "NAMD - Input: STMV with 1,066,628 Atoms (ns/day)",HIB,1.51901,1.46163,2.87877,5.27839,3.41085,6.38343,2.88869,5.83606,1.45223,1.88679,1.50214,1.76778,1.05274,1.10900,1.43787,2.25422 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,216.703,226.626,182.017,220.351,178.032,182.268,166.793,203.571,139.096,121.670,155.788,121.780,116.315,92.3473,109.670,100.738 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,4.66491,4.46533,5.55018,4.53817,5.66508,5.49711,6.01164,4.91420,7.24187,8.39962,6.54965,8.26016,8.59719,10.83623,9.11885,9.92684 "LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day)",HIB,27.532,25.334,42.507,57.099,46.891,62.000,47.986,58.839,28.278,46.705,32.157,51.816,34.892,50.521,37.460,56.400 "TensorFlow - Device: CPU - Batch Size: 512 - Model: GoogLeNet (images/sec)",HIB,313.50,295.29,470.95,525.84,425.25,464.78,450.61,588.43,383.57,467.91,398.40,477.33,461.23,576.08,462.78,577.76 "LuxCoreRender - Scene: DLSC - Acceleration: CPU (M samples/sec)",HIB,9.39,8.48,14.29,17.89,16.21,22.58,16.79,22.00,7.46,10.17,8.00,10.44,8.72,11.12,9.38,12.74 "Timed Node.js Compilation - Time To Compile (sec)",LIB,277.525,288.118,164.021,118.902,147.837,114.912,186.103,147.735,270.380,175.625,252.648,171.174,254.003,172.990,214.431,145.413 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency (ms)",LIB,16.321,18.053,12.502,18.059,12.580,18.159,13.843,16.884,14.292,16.963,13.845,16.655,14.040,14.856,13.264,30.203 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Write (TPS)",HIB,61272,55395,79987,55505,79492,55272,72244,59228,69969,58952,72225,60046,71227,67315,75396,33110 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,27.9281,26.8290,23.9198,25.3171,21.5784,22.7886,26.4458,27.8975,33.3341,36.2283,33.9877,36.0039,29.4080,29.7536,29.0185,28.8481 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,36.0772,37.5302,42.0692,39.8035,46.8764,44.0635,37.9585,35.8712,29.9973,27.6074,29.4250,27.7772,34.0021,33.6082,34.4595,34.6628 "OpenSSL - Algorithm: AES-128-GCM (byte/s)",HIB,539784931373,488965390857,897288436123,1785006879067,996007109267,1990352059967,1167221141870,2316611945283,641200848170,1277583382757,747710702660,1484669627050,768804693697,1533026300727,889567506540,1769313146013 "OpenSSL - Algorithm: AES-256-GCM (byte/s)",HIB,462309750530,415893963207,767696553667,1526505465813,859720599963,1714061761087,997539007873,1983103026700,507456728087,1011898993323,592014115453,1181148957353,700239352717,1369534328470,744387683670,1497529939377 "OpenSSL - Algorithm: SHA512 (byte/s)",HIB,24378460820,22194470973,39627575497,78822257383,45865131913,91455971200,52746634113,104776633047,16199261277,32304222993,18893980783,37564522053,22219927723,42846254477,23886054770,46520760707 "OpenSSL - Algorithm: ChaCha20 (byte/s)",HIB,307068938377,282053327077,503311021123,1001502634860,544904084773,1086618191950,656396329387,1306928507573,226597354153,449908494927,263740690067,522912403347,316126421173,624402972947,344150916937,684284382760 "OpenSSL - Algorithm: SHA256 (byte/s)",HIB,74584721007,67806730387,126475137690,251645629887,138409588983,276267766403,161269162280,320258686237,44439185187,88635753413,51840436763,103382860113,61806994523,119106802107,66573957920,131976050120 "OpenSSL - Algorithm: ChaCha20-Poly1305 (byte/s)",HIB,211185661727,193305093643,350960998357,698925822223,383925652077,767652719547,457039748870,906028608990,161321058213,320396720447,187796174440,372735215297,225038850730,442202532977,223625738013,444099144270 "LuxCoreRender - Scene: Orange Juice - Acceleration: CPU (M samples/sec)",HIB,13.81,13.00,21.32,29.61,24.69,33.08,23.76,32.26,11.86,16.91,12.50,16.64,13.46,18.70,14.74,19.91 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,4.57029,4.74221,4.46135,7.55558,4.10914,7.09682,6.22791,8.51808,3.02897,5.74491,3.37034,6.17796,3.17002,5.62517,3.18392,5.83954 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,219.058,211.187,225.308,133.485,243.340,141.830,160.904,117.617,330.104,174.677,296.799,161.886,315.410,177.763,314.057,171.231 "FFmpeg - Encoder: libx265 - Scenario: Upload (FPS)",HIB,23.25,23.27,27.66,26.41,27.61,27.43,23.36,23.28,23.33,22.34,23.77,23.30,24.97,24.56,26.93,26.80 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,240.13,263.76,139.25,79.05,123.90,67.52,114.76,65.58,320.11,169.44,290.56,156.70,261.97,141.54,236.73,125.87 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS)",HIB,46.88,46.93,55.59,52.81,55.56,55.01,47.33,47.14,47.34,45.29,48.14,46.79,49.84,48.77,53.99,53.29 "FFmpeg - Encoder: libx265 - Scenario: Platform (FPS)",HIB,46.87,46.86,55.61,52.79,55.38,55.11,47.31,47.13,47.32,45.95,48.35,46.59,49.79,48.76,53.92,53.22 "RocksDB - Test: Read While Writing (Op/s)",HIB,9333645,8934176,14608544,20108289,14158419,19851664,15776186,22900152,7439663,9624417,7366500,11223329,7841738,12321300,8926893,12425519 "PyTorch - Device: CPU - Batch Size: 512 - Model: ResNet-50 (batches/sec)",HIB,33.76,33.18,34.65,16.24,34.69,16.82,27.53,13.76,51.05,41.65,51.86,37.84,56.44,37.55,63.30,40.83 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,32.9201,32.2294,25.4789,42.5137,24.1097,42.8879,32.4744,55.9158,21.2179,24.6510,23.6625,29.4448,18.9319,27.5944,15.0376,26.0866 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,30.3743,31.0644,39.2586,23.5786,41.4745,23.4960,30.8572,18.0133,47.2703,40.5671,42.2747,33.9621,52.8167,36.2493,66.5162,38.4240 "OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,17.9448,16.4505,28.0689,47.5267,32.5232,55.2576,35.1464,56.4485,16.0869,29.3496,18.4851,33.1275,21.8932,38.2269,30.6799,53.9348 "Numpy Benchmark - (Score)",HIB,421.99,418.89,529.80,529.03,542.15,540.96,425.46,422.76,461.61,435.21,464.72,439.84,455.57,456.18,520.22,519.89 "LuxCoreRender - Scene: LuxCore Benchmark - Acceleration: CPU (M samples/sec)",HIB,7.38,6.93,11.34,10.56,12.43,10.61,12.41,9.65,6.30,6.81,6.82,7.41,7.10,8.82,8.06,8.88 "PyTorch - Device: CPU - Batch Size: 256 - Model: ResNet-50 (batches/sec)",HIB,33.68,33.30,34.90,17.41,34.90,16.97,27.78,13.11,52.97,41.68,51.56,37.91,54.84,37.44,63.60,41.45 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,2.25716,2.23868,1.66046,2.25020,1.48596,2.24645,2.61653,3.16441,1.37831,1.65270,1.41662,1.71875,1.17292,1.43573,1.10042,1.32454 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,443.058,446.689,604.045,444.847,672.916,446.805,382.103,316.113,728.469,604.755,705.606,581.769,852.326,696.980,908.187,754.805 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Execution Time (sec)",LIB,691.64224,690.73503,325.42331,124.29946,178.25382,93.568115,449.46597,137.11385,440.83113,201.10956,410.29005,186.32539,420.6467,196.49644,302.0641,137.03802 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Mesh Time (sec)",LIB,163.69864,188.37105,136.39912,140.48261,118.54229,135.5163,167.40625,192.41705,153.12467,134.78213,150.66848,159.31171,160.72685,162.02669,148.40248,139.61713 "Timed LLVM Compilation - Build System: Ninja (sec)",LIB,205.014,215.925,135.666,94.810,124.455,89.275,146.761,101.561,212.482,134.419,197.844,128.066,187.017,122.314,165.048,106.815 "Speedb - Test: Read While Writing (Op/s)",HIB,12053901,11882103,18024993,30324596,19595777,33307574,22829426,36593204,8795408,13859254,9988176,15354400,10695360,17297027,12168413,17585737 "Llamafile - Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPU (Tokens/sec)",HIB,5.16,5.11,8.35,5.24,8.48,5.24,7.47,4.63,1.47,1.77,1.54,1.54,5.85,3.82,4.08,3.05 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,161.48,156.59,157.45,63.98,110.91,43.77,230.24,85.86,41.93,42.16,59.69,64.91,100.39,45.78,39.62,43.41 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,197.91,204.05,306.27,750.11,433.06,1095.79,283.18,750.96,285.95,568.81,301.30,569.60,298.56,654.84,403.20,736.23 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,1.82443,1.80573,1.70579,3.17064,1.69307,3.21781,2.21020,3.69602,1.45280,2.02659,1.47249,2.08780,1.27368,1.76353,1.20298,1.64919 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,547.524,553.471,586.178,315.355,590.707,310.591,452.323,270.631,687.671,492.885,678.483,478.467,784.304,566.377,830.725,605.589 "PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-50 (batches/sec)",HIB,33.49,33.23,35.01,17.07,34.71,17.28,27.68,13.68,51.55,42.35,51.35,38.30,56.01,37.08,63.06,40.77 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,112.728,114.311,101.4686,155.960,102.734,137.989,120.556,148.208,54.9599,69.4501,59.1795,69.2014,50.3522,64.2858,43.5355,58.9394 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,8.87446,8.75233,9.86018,6.41229,9.73685,7.24869,8.29533,6.74977,18.2179,14.4831,16.9166,14.4583,19.8593,15.5555,22.9689,16.9672 "OpenRadioss - Model: INIVOL and Fluid Structure Interaction Drop Container (sec)",LIB,176.87,187.03,100.24,85.89,94.76,79.42,106.54,90.85,160.56,114.29,146.03,110.56,140.43,107.36,128.74,100.00 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,388.743,443.961,800.231,1094.256,801.961,1165.93,319.348,397.429,380.902,460.673,382.109,475.254,329.036,352.738,302.266,327.875 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,2.57278,2.25453,1.25135,0.917043,1.25179,0.857685,3.13156,2.51709,2.62544,2.17463,2.61721,2.10480,3.03922,2.83498,3.30836,3.05085 "Timed Godot Game Engine Compilation - Time To Compile (sec)",LIB,154.010,159.624,111.688,102.583,103.352,96.161,128.279,126.112,149.378,123.882,143.808,122.704,140.233,118.572,122.718,103.376 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,80.7232,86.6515,72.1232,93.8340,71.5564,90.0621,87.6552,93.6360,47.2417,60.1120,49.9740,55.9019,49.6376,60.3589,39.7451,44.5996 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,12.3884,11.5447,13.8647,10.6615,13.9745,11.2707,11.4182,10.75188,21.1702,16.6394,20.0103,17.9873,20.1453,16.5705,25.1591,22.4251 "TensorFlow - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec)",HIB,308.46,287.42,447.61,401.84,406.58,391.40,462.79,397.44,375.73,447.50,386.00,449.91,448.46,528.93,423.59,501.39 "Zstd Compression - Compression Level: 19 - Decompression Speed (MB/s)",HIB,1118.8,1144.8,1388.9,1382.1,1385.3,1392.5,1139.9,1139.0,1126.4,1040.2,1127.5,1039.2,1032.0,963.6,1221.8,1165.8 "Zstd Compression - Compression Level: 19 - Compression Speed (MB/s)",HIB,13.9,13.8,17.2,17.0,17.2,16.8,13.8,13.7,14.4,13.8,14.5,13.3,14.6,15.2,18.0,17.8 "QMCPACK - Input: Li2_STO_ae (Execution Time - sec)",LIB,137.23,151.27,108.02,102.98,97.004,91.966,110.80,111.15,121.19,102.12,117.81,106.27,109.30,101.629,105.98,97.911 "Speedb - Test: Random Read (Op/s)",HIB,274091778,242940110,428557054,857687179,537633034,1059546533,589951070,1169947385,211457048,419943570,244070674,497907490,276179617,551286958,315178381,586147871 "OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,17.9668,16.4504,28.0956,47.6143,32.5188,55.3382,35.2461,56.6936,16.0502,29.5018,18.5533,33.1125,21.9324,38.2235,30.8404,54.1195 "Xmrig - Variant: GhostRider - Hash Count: 1M (H/s)",HIB,4660.0,4564.3,14207.7,26702.7,15786.6,31157.8,9320.5,17873.1,5446.8,10975.8,6122.3,12115.0,5808.8,11263.2,8378.3,16324.7 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,11.2047,11.2864,7.88584,9.74614,6.16668,6.17190,11.1392,11.5774,5.67700,7.04111,5.91961,7.53259,4.49976,5.55101,3.69649,4.29531 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,89.2081,88.5688,126.816,102.572,162.092,161.947,89.7350,86.6864,176.333,141.954,168.859,132.712,222.029,180.032,270.329,236.648 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.53,0.6,0.48,0.35,0.45,0.35,0.73,0.41,0.33,0.28,0.37,0.30,0.43,0.29,0.49,0.46 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,87511.11,78334.92,133779.62,172688.50,138605.52,178488.03,132973.43,166151.42,135075.07,174862.56,140144.01,176900.32,115106.30,189893.31,81279.79,128566.81 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,7.87325,7.86015,5.34656,5.98436,3.57543,3.80792,7.63337,7.84065,4.57581,5.02267,4.64757,5.39123,2.79694,3.46571,2.16966,2.80263 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Standard (Inferences/sec)",HIB,127.085,127.208,187.012,167.107,279.641,263.524,131.004,127.537,219.532,199.079,215.127,185.46,357.355,288.471,460.775,356.764 "VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,6.118,6.000,7.431,,7.547,,6.465,,6.324,6.023,6.501,6.077,6.719,6.480,7.392,6.960 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,9.38681,9.71131,8.15092,10.4344,8.13326,8.39969,9.42177,10.23106,4.58912,4.85818,4.67269,5.00222,4.39649,4.72530,3.85774,3.98013 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,106.526,102.966,122.683,95.8372,122.948,119.5585,106.130,98.6374,217.880,205.885,213.985,199.896,227.423,212.924,259.186,251.305 "Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s)",HIB,1101.4,1096.5,1328.5,1324.6,1324.9,1321.4,1102.2,1104.2,1131.1,1041.8,1133.3,1046.0,1069.1,992.1,1242.6,1189.7 "Zstd Compression - Compression Level: 19, Long Mode - Compression Speed (MB/s)",HIB,6.76,6.74,8.38,8.30,8.45,8.42,6.68,6.64,7.76,7.62,7.72,7.46,7.94,8.16,9.80,9.67 "NAMD - Input: ATPase with 327,506 Atoms (ns/day)",HIB,5.70672,5.44971,8.18275,17.81105,9.33534,20.75259,7.99756,18.97454,5.97130,7.30065,5.92501,2.56319,2.97021,2.21948,4.64814,5.85267 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,4.82506,4.92653,5.25321,9.96245,5.59491,9.95245,6.52367,11.3148,3.13366,6.00525,3.32030,6.51744,3.19298,6.39031,3.23780,6.49693 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,207.336,203.055,190.382,100.3586,178.698,100.4600,153.246,88.3741,319.043,166.485,301.136,153.407,313.100,156.461,308.801,153.922 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,3.91006,3.92455,2.66711,3.68001,2.23922,3.61792,3.12904,3.98735,2.97094,4.05270,2.88734,3.95819,3.06500,4.05881,2.15980,2.81739 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,255.671,254.727,374.745,271.620,446.303,276.207,319.452,250.634,337.004,246.680,346.213,252.671,326.143,246.335,462.855,354.754 "OpenVINO - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (ms)",LIB,17.30,18.49,16.32,23.12,13.52,22.20,22.67,28.10,11.37,17.15,12.72,18.72,13.95,15.96,9.40,13.15 "OpenVINO - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (FPS)",HIB,3636.33,3405.94,5697.51,7810.65,6963.31,8231.72,5310.07,6513.36,4208.49,5565.23,4386.48,5933.65,4209.10,7356.63,6757.26,9360.89 "CloverLeaf - Input: clover_bm64_short (sec)",LIB,57.38,57.54,46.50,30.05,42.17,22.83,48.36,27.74,41.43,32.25,42.22,32.44,39.48,26.58,39.38,31.90 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,84261,91643,50019,27943,44349,20893,42945,20071,80742,45211,73366,41971,68006,38813,59522,33391 "TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,87.31,80.86,114.63,82.94,104.52,86.08,106.14,67.08,104.23,111.71,103.56,107.30,120.93,115.47,91.51,94.66 "Memcached - Set To Get Ratio: 1:100 (Ops/sec)",HIB,6198256.72,5820618.18,8220895.45,8498306.78,8634258.39,8683410.79,7736018.74,7645325.70,4384040.52,3373323.92,4315467.17,3392842.38,4481667.95,3245908.40,4752673.79,3780240.56 "ASKAP - Test: tConvolve MPI - Gridding (Mpix/sec)",HIB,16573.2,16399.7,46233.7,86757.7,74389.0,121976.9,28854.3,54066.0,21766.5,42939.2,23250.2,45195.1,21314.2,41773.0,37265.9,72004.0 "ASKAP - Test: tConvolve MPI - Degridding (Mpix/sec)",HIB,16704.4,15903.4,42172.4,81025.8,64260.2,123480,28476.6,52639.5,18522,36900.5,20561.4,40368.6,17891.6,34614.1,31177.2,59139.2 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,100.67,109.00,91.16,48.43,83.11,43.17,102.84,56.73,28.73,29.98,38.50,41.57,62.46,37.58,26.85,28.17 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,317.38,293.07,525.88,990.16,576.98,1110.49,621.42,1127.05,415.96,795.63,467.08,889.18,477.77,793.64,592.20,1128.78 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,31.99,34.76,27.46,14.30,21.63,11.95,38.21,15.84,55.74,56.71,62.53,62.11,55.99,65.02,55.07,57.13 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,998.09,918.53,1743.49,3353.73,2212.41,4013.96,1671.23,4032.66,860.64,1691.79,894.87,1801.89,1068.43,1843.61,1159.66,2237.69 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,10.78,11.48,8.58,4.46,7.85,4.08,10.97,5,16.33,17.19,19.44,20.24,17.84,21.73,13.73,14.67 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,2943.08,2763.48,5528.15,10708.91,6017.19,11735.42,5778.51,12750.59,2935.47,5576.86,2877.32,5525.56,3325.90,5483.81,4656.92,8719.37 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,72051,78093,43290,20750,38645,17855,37383,16960,68973,38926,62540,36179,58026,33411,50798,24249 "Helsing - Digit Range: 14 digit (sec)",LIB,105.676,120.560,62.173,33.675,56.912,30.694,48.849,26.776,123.832,65.026,107.237,58.248,93.348,50.831,89.070,48.091 "libavif avifenc - Encoder Speed: 0 (sec)",LIB,75.864,78.241,61.992,62.887,61.629,63.404,73.271,74.689,76.915,69.647,73.060,68.437,69.931,67.375,64.475,60.526 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,2421,2649,1391,780,1225,660,1130,630,2357,1237,2123,1143,1977,1063,1709,898 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,35.7943,35.8831,33.5209,39.0176,34.8126,41.5696,36.4460,38.0000,35.0665,40.4534,35.1110,40.5178,30.9165,33.2899,29.9566,31.5324 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,27.9362,27.8703,29.8381,25.6265,28.7250,24.0540,27.4471,26.3257,28.5164,24.7274,28.4798,24.6818,32.3433,30.0368,33.3797,31.7109 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,45377,48844,22305,12427,19535,10514,18129,10015,42837,19701,39238,18111,36649,16837,31993,14358 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,38811,42513,18896,10428,16603,8916,15286,8413,37055,16645,33790,15357,31380,14138,23125,12124 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,2043,2240,1180,661,1037,561,954,531,1988,1049,1792,961,1657,894,1441,759 "QuantLib - Configuration: Multi-Threaded (MFLOPS)",HIB,172566.8,153920.8,294183.2,593246.9,319827.2,644091.0,374413.5,759922.1,143755.3,288129.1,162727.4,316359.2,179647.5,350187.5,195648.8,380867.5 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,18.4705,16.9200,30.6073,52.6741,34.6447,60.3748,37.7381,63.8459,19.9102,35.9324,22.3625,39.3389,24.6445,42.8188,27.1010,48.7576 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,592.22,654.83,510.10,253.63,471.98,233.63,551.07,275.53,236.52,256.63,257.50,278.52,356.38,283.11,224.64,234.24 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,53.89,48.73,93.99,188.74,101.51,205.03,115.78,231.83,202.59,373.50,217.11,401.45,167.83,423.18,284.64,545.21 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,102.0503,112.760,81.6041,113.517,81.4319,114.158,103.597,125.244,61.2547,72.8018,63.5353,73.9684,62.1276,68.8299,50.8307,64.7891 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,9.8009,8.87144,12.2549,8.80930,12.2807,8.75971,9.65296,7.98402,16.3251,13.7366,15.7394,13.5190,16.0956,14.5280,19.6773,15.4341 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,11.22,12.67,9.47,5.20,8.48,4.91,11.35,6.27,12.54,13.34,13.59,14.42,16.50,15.04,11.17,11.69 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,2830.12,2506.10,5024.32,9203.19,5608.07,9752.89,5594.81,10182.16,3802.61,7127.28,4093.73,7689.32,3606.12,7862.58,5725.03,10934.17 "OpenVINO - Model: Person Re-Identification Retail FP16 - Device: CPU (ms)",LIB,8.59,9.46,7.23,3.98,6.93,3.78,8.03,4.37,7.13,7.32,7.76,7.97,9.79,7.72,6.72,6.95 "OpenVINO - Model: Person Re-Identification Retail FP16 - Device: CPU (FPS)",HIB,3692.67,3355.73,6554.12,12024.18,6846.79,12665.62,7862.65,14601.52,6717.65,13102.28,7207.74,14033.94,5943.66,15519.92,9515.86,18375.63 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,11.78,13.11,10.09,10.17,9.42,9.25,10.92,11.20,2.50,2.53,2.67,2.79,3.58,2.50,2.36,2.48 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,5366.79,4830.01,9356.71,18666.16,9997.89,20550.93,11508.19,22499.03,19183.83,37710.60,20910.53,40032.81,15943.17,47654.95,26943.42,48122.16 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,7.74521,7.70511,6.37780,9.12452,6.18478,9.06607,7.28087,10.0666,5.22781,7.34848,5.29027,7.30822,5.21520,6.90619,4.01687,5.10948 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,128.982,129.646,156.610,109.464,161.497,110.168,137.193,99.2182,191.111,135.976,188.930,136.689,191.562,144.640,248.682,195.453 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,6.77,7.60,5.85,5.98,5.41,5.34,6.25,6.6,5.27,5.55,5.77,6.02,6.43,5.72,5.19,5.18 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,9256.11,8279.63,16038.90,31974.88,17230.35,35809.59,19917.54,38546.66,9087.12,17252.27,9686.39,18561.91,9004.23,20937.58,12317.94,24676.86 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,114.174,118.023,102.191,157.505,102.035,158.265,115.790,179.989,61.8256,76.4227,61.0107,79.3770,55.1204,78.3989,47.8953,70.4377 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,8.75814,8.47283,9.78516,6.34891,9.80008,6.31828,8.63594,5.55767,16.1742,13.0869,16.3898,12.5974,18.1413,12.7546,20.8795,14.1980 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,41.38,45.71,34.92,36.90,32.00,33.18,38.85,39.86,23.12,24.00,24.94,25.72,36.20,25.12,21.87,22.96 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,1542.61,1396.78,2739.01,5178.29,2986.33,5766.62,3280.25,6400.94,2074.30,3998.02,2243.84,4351.59,1643.43,4744.05,2924.66,5570.63 "srsRAN Project - Test: PDSCH Processor Benchmark, Throughput Total (Mbps)",HIB,19375.9,19485.8,27695.2,22931.8,29384.9,25977.4,25194.6,29877.1,21286.6,30236.0,15081.0,11866.7,24688.5,30108.7,26378.1,30547.6 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,36.6119,38.1027,34.1636,66.6285,33.4994,66.4355,40.6330,83.7660,24.5535,30.4733,23.6565,34.2507,21.3436,34.3054,16.5534,31.7907 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,27.3128,26.2475,29.2690,15.0082,29.8493,15.0516,24.6095,11.9382,40.7289,32.8141,42.2711,29.1955,46.8491,29.1487,60.4094,31.4589 "GPAW - Input: Carbon Nanotube (sec)",LIB,63.796,66.705,34.866,25.844,30.001,24.134,33.120,27.145,54.376,42.873,48.487,43.911,47.776,41.563,43.048,38.049 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,85.12,94.41,48.88,26.35,44.87,23.84,39.83,21.66,106.96,55.26,97.80,51.29,87.92,46.38,80.29,41.85 "GraphicsMagick - Operation: Noise-Gaussian (Iterations/min)",HIB,123,120,160,178,165,179,151,164,150,150,158,164,158,182,171,194 "GraphicsMagick - Operation: Sharpen (Iterations/min)",HIB,112,105,173,262,201,297,207,310,114,199,130,227,157,265,167,284 "GraphicsMagick - Operation: Enhanced (Iterations/min)",HIB,172,163,264,368,300,408,304,403,160,269,181,301,216,342,228,374 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,10.3026,10.3977,9.08955,11.5024,9.18524,11.4580,10.5537,12.8093,5.10914,5.74921,5.26075,5.88628,4.86604,5.29287,4.26352,4.65431 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,97.0508,96.1679,109.998,86.9230,108.868,87.2579,94.7365,78.0676,195.705,173.909,190.063,169.850,205.525,188.890,234.540,214.812 "GraphicsMagick - Operation: Swirl (Iterations/min)",HIB,379,363,511,553,546,583,535,567,394,509,432,558,502,617,529,689 "RocksDB - Test: Random Read (Op/s)",HIB,266186537,234992636,409272949,815145110,523310091,1031209151,573235452,1135206564,205346154,405533173,234469939,473755946,265366170,525049998,297517946,578392800 "Aircrack-ng - (k/s)",HIB,153818.031,141831.776,186675.432,,206619.292,,177989.891,,117588.992,83665.758,134048.964,65663.823,147469.328,53914.933,153584.203,64181.293 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,44.276,46.352,34.567,27.678,32.889,25.872,38.526,30.680,43.421,32.143,40.501,30.530,39.450,29.981,34.591,25.872 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,67.67,75.26,40.26,21.12,35.66,18.67,31.65,16.82,86.67,44.71,76.87,40.38,68.61,35.91,63.61,33.61 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (Billion Interactions/s)",HIB,107.715,97.978,171.771,291.278,187.684,309.219,232.749,288.537,70.213,127.845,78.105,133.990,86.967,140.828,108.124,191.818 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (GFInst/s)",HIB,2692.873,2449.454,4294.283,7281.958,4692.106,7730.471,5818.736,7213.433,1755.333,3196.123,1952.606,3349.756,2174.192,3520.705,2703.088,4795.462 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,11290000,11236333,13394667,13390667,13387333,13083133,11174500,11273667,16906333,16904667,16885333,16884000,16882333,16843333,18774333,18200533 "WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (MP/s)",HIB,0.48,0.48,0.57,0.57,0.57,0.56,0.48,0.48,0.55,0.54,0.55,0.54,0.52,0.51,0.60,0.59 "TensorFlow - Device: CPU - Batch Size: 512 - Model: AlexNet (images/sec)",HIB,875.23,796.82,1363.33,1862.79,1392.91,1897.64,1620.53,1876.66,1047.96,1604.11,1108.95,1677.62,1278.45,1899.64,1486.12,2039.63 "Coremark - CoreMark Size 666 - Iterations Per Second (Iterations/Sec)",HIB,2274636.131544,2069432.528093,3926265.277120,7975907.450649,4152864.875380,8448083.729980,4525288.003014,8171241.708512,1614763.703237,2993136.601832,1855135.326098,3279262.530349,2194630.600449,3902076.243612,2369998.356940,4966250.777983 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,367989,338355,642626,1033277,716065,1116465,780871,1340226,207738,401707,243347,469131,287862,557054,338146,573410 "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,331357,319094,549500,761734,579112,741366,575440,776968,314716,491729,342363,525514,388190,592729,441636,674239 "LULESH - (z/s)",HIB,16949.591,16855.891,26082.711,48760.815,27287.261,54678.485,24218.831,46126.080,23848.540,52102.668,25831.838,53269.469,23072.302,43724.062,38433.973,70826.734 "srsRAN Project - Test: PUSCH Processor Benchmark, Throughput Total (Mbps)",HIB,3193.0,2818.5,5239.6,6835.7,5656.9,6999.7,5973.8,8396.7,2170.7,3787.0,2514.0,4386.6,2616.9,4853.6,3088.7,5493.4 "NAS Parallel Benchmarks - Test / Class: EP.D (Mop/s)",HIB,6416.34,5745.04,10652.03,19414.94,11424.05,22166.60,12575.30,22017.75,5366.69,10970.45,6445.09,12793.01,7562.80,14946.76,8089.14,16004.07 "Algebraic Multi-Grid Benchmark - (Figure Of Merit)",HIB,1150052667,1147108000,2282802000,4324930333,2376149000,4467281333,2275352667,2783039083,1588496667,3156261667,1597993333,3205161000,1605097000,3124402667,1814760000,3609646333 "miniFE - Problem Size: Small (CG Mflops)",HIB,24526.0,24548.8,50909.6,43531.0,53167.8,59466.6,50139.9,42113.5,20091.1,19876.5,18621.2,21583.2,35230.1,46877.5,31830.2,42114.6 "OpenRadioss - Model: Cell Phone Drop Test (sec)",LIB,33.23,35.95,22.53,23.53,20.45,22.52,23.69,27.86,33.75,27.51,31.92,27.63,31.49,28.22,27.90,26.88 "John The Ripper - Test: WPA PSK (Real C/S)",HIB,386212,339998,643475,1253333,671322,1294000,803187,1551000,286552,562875,334076,657889,401278,793253,428116,797093 "libavif avifenc - Encoder Speed: 2 (sec)",LIB,41.657,42.605,34.148,35.402,34.044,35.316,40.351,41.916,41.125,38.653,39.876,38.136,37.752,37.311,34.791,33.650 "VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,13.968,13.614,16.730,,17.016,,14.785,,14.101,11.897,14.362,11.967,15.060,12.536,15.966,13.256 "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,6.499,6.246,12.514,20.234,15.222,22.525,13.242,21.305,7.545,13.392,8.282,14.127,8.762,15.450,10.477,18.540 "ASTC Encoder - Preset: Very Thorough (MT/s)",HIB,5.7420,5.2406,9.1844,17.0098,10.3224,19.4052,12.3187,22.0023,5.1342,10.2051,5.9702,11.8875,7.0885,13.7518,7.6240,14.6334 "Llamafile - Test: llava-v1.5-7b-q4 - Acceleration: CPU (Tokens/sec)",HIB,21.00,20.65,25.75,14.47,25.38,14.29,20.64,10.94,7.67,7.77,8.13,7.26,20.95,10.44,16.61,7.49 "Primesieve - Length: 1e13 (sec)",LIB,45.953,54.389,24.237,12.631,23.265,12.130,21.762,11.557,67.324,33.921,58.159,30.196,51.820,27.107,48.406,25.021 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,46210667,45486333,55425333,54954667,55455333,55415667,46270000,46229667,67130333,67064000,67127667,66266000,67074667,66991333,73140667,70499000 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,633860000,577263333,811373333,824583333,850586667,849340000,709650000,709393333,632396667,732560000,689003333,757176667,744410000,799496667,783770000,883701250 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,64.3253,63.3433,113.2783,175.5971,133.4769,210.4367,133.9297,200.1612,64.9597,104.8425,71.8253,112.7231,79.3805,132.2806,97.1861,173.2208 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,160.785,153.417,172.875,167.223,162.475,161.339,163.413,159.746,144.698,122.617,149.996,124.263,162.474,154.502,174.832,162.979 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,29899667,29899333,36068333,36033000,36066000,36040000,29907333,29893333,36537667,36497667,36539000,36521333,36506000,36461000,40244000,38950600 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,2186833333,2026333333,2859833333,2730233333,2862000000,2772800000,2444933333,2374766667,2138766667,2494050000,2308966667,2491340000,2539200000,2655500000,2475500000,2620066667 "Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,809916667,731756667,1158166667,1199966667,1368733333,1394733333,1369800000,1349800000,800186667,1091460000,882200000,1206066667,918566667,1126466667,1152933333,1493833333 "QuantLib - Configuration: Single-Threaded (MFLOPS)",HIB,2593.3,2593.0,3105.9,3098.5,3114.2,3125.4,2596.1,2590.8,3225.7,3207.0,3229.1,3222.8,3209.6,3210.1,3600.5,3586.3 "TensorFlow - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec)",HIB,843.63,771.47,1278.58,1524.74,1301.26,1560.56,1454.71,1403.46,986.04,1479.53,1058.99,1528.41,1205.30,1730.25,1277.46,1681.44 "ASTC Encoder - Preset: Exhaustive (MT/s)",HIB,3.5146,3.1993,5.6301,10.6018,6.3027,11.9107,7.5573,14.1038,3.1204,6.2126,3.6276,7.2075,4.2689,8.3701,4.6303,8.9091 "John The Ripper - Test: bcrypt (Real C/S)",HIB,102222,93472,166541,320527,192898,376268,220188,412723,67875,133866,79144,155959,94551,183603,105781,206778 "Liquid-DSP - Threads: 256 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,821013333,741740000,1362166667,2129533333,1570400000,2394333333,1744700000,1734800000,838530000,1444066667,944550000,1518933333,1020833333,1616966667,1178766667,2027000000 "Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,2982800000,2687066667,4256300000,4280933333,4755333333,4759366667,4714500000,4626566667,2670033333,3596400000,2972400000,3896500000,3181266667,3723666667,3503200000,4450525000 "John The Ripper - Test: Blowfish (Real C/S)",HIB,102198,93473,166541,316492,192574,374589,220188,415412,67893,134562,79152,156658,94513,183583,105831,205499 "Liquid-DSP - Threads: 256 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,3116933333,2793700000,5266466667,7411866667,5811900000,8012700000,6401366667,6316266667,2848933333,4825133333,3222533333,5036000000,3500833333,5361266667,3806833333,6284300000 "Liquid-DSP - Threads: 256 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,3062200000,2789600000,5271933333,7513333333,5862466667,7935266667,6588200000,6439000000,2381800000,4670966667,2769066667,5367033333,3243800000,6116566667,3167200000,6077300000 "Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,3047066667,2767933333,4032733333,4063333333,4353533333,4407900000,3791566667,3794133333,2351900000,3254033333,2739633333,3337066667,3200600000,3558600000,3148233333,3520766667 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,1871333333,1776866667,2282766667,2282066667,2287466667,2279300000,1898766667,1894966667,1640266667,1963233333,1679700000,2090466667,1890566667,2025000000,1927766667,2154633333 "Google SynthMark - Test: VoiceMark_100 (Voices)",HIB,655.239,656.250,783.778,782.322,783.422,783.200,655.795,655.046,711.101,710.916,712.013,712.085,711.378,712.697,799.717,799.491 "TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec)",HIB,276.93,256.79,354.59,227.22,330.26,248.03,314.67,176.00,333.73,341.51,335.58,308.95,380.14,331.76,319.76,291.37 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Slow (FPS)",HIB,17.04,15.77,28.01,40.96,29.18,43.39,29.00,37.13,13.36,19.75,13.89,22.14,15.71,24.71,16.06,27.11 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,19.25,17.80,31.44,42.03,32.74,45.26,32.44,38.12,15.17,22.25,15.68,24.65,17.85,27.65,16.64,30.37 "Appleseed - Scene: Disney Material (sec)",LIB,56.417518,61.362463,43.454051,,40.918961,,45.078087,,58.379116,51.245898,56.401698,49.136175,53.490276,48.56418,48.425051,43.695399 "Blender - Blend File: Junkshop - Compute: CPU-Only (sec)",LIB,35.82,38.86,21.02,12.87,18.65,11.47,17.70,11.21,42.85,24.99,39.17,23.45,35.96,21.15,32.08,18.31 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,6.939,6.727,8.422,8.349,8.595,8.513,7.283,7.153,6.490,5.991,6.572,6.052,7.061,6.698,7.876,7.360 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,34.35,38.04,20.15,11.25,18.36,10.16,16.58,9.71,42.78,23.17,38.48,21.45,34.83,19.13,31.91,17.29 "Pennant - Test: sedovbig (Hydro Cycle Time - sec)",LIB,11.36964,12.15132,5.916458,3.408337,5.460660,3.081108,5.147658,2.940456,21.02112,13.21125,19.88246,12.10690,16.03080,11.28438,16.96910,9.964526 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,24.31,23.02,39.58,61.11,40.50,63.48,39.08,54.57,18.13,26.69,18.84,29.62,20.97,32.04,24.80,41.58 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Slow (FPS)",HIB,23.71,22.46,38.90,61.07,40.00,62.82,38.47,54.88,17.52,26.00,18.24,28.96,20.23,31.24,24.23,40.92 "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Execution Time (sec)",LIB,58.169235,59.266377,32.591783,25.005632,28.325594,22.707989,33.814223,24.570122,45.947435,28.993119,41.746192,27.577291,42.219419,28.556037,33.065393,23.558932 "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Mesh Time (sec)",LIB,33.673162,36.823441,28.031022,27.737712,25.931646,26.823627,30.381372,29.474484,31.781874,32.481993,31.998248,28.840157,31.384585,35.604097,31.704905,29.325125 "Pennant - Test: leblancbig (Hydro Cycle Time - sec)",LIB,6.541768,6.852712,3.754835,2.312977,3.360453,2.076835,3.654303,2.084384,5.930957,2.881099,5.114161,2.527363,4.955865,2.529807,4.182707,2.159459 "Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,0.86,0.80,1.31,1.67,1.28,1.64,1.50,1.71,1.08,1.72,1.14,1.74,1.29,2.18,1.58,2.40 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,50.04,44.92,62.02,53.44,62.70,55.05,54.46,46.00,39.56,44.75,40.82,46.25,49.42,54.88,35.10,53.66 "TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,673.42,617.03,942.19,727.77,868.54,738.31,924.80,658.97,841.68,932.59,852.36,940.40,969.62,996.47,819.89,858.84 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,27.12,30.07,15.96,8.61,14.29,7.75,12.86,7.17,31.66,16.55,28.49,15.29,25.89,13.74,23.72,12.76 "Timed FFmpeg Compilation - Time To Compile (sec)",LIB,27.536,28.420,20.494,18.089,19.991,17.839,23.217,21.224,26.458,20.788,24.840,20.008,24.056,19.506,21.357,17.389 "NAS Parallel Benchmarks - Test / Class: LU.C (Mop/s)",HIB,133284.46,130839.12,269047.28,472931.04,362511.43,551955.55,279397.45,588329.32,126171.52,246822.52,131606.86,257384.55,135125.15,261127.09,232012.77,455312.09 "ASTC Encoder - Preset: Thorough (MT/s)",HIB,41.0225,37.9597,65.3025,105.4052,73.3796,116.1226,86.0139,121.3017,37.0051,72.3297,42.9834,83.3395,51.2971,86.9845,54.4547,97.9383 "NAS Parallel Benchmarks - Test / Class: IS.D (Mop/s)",HIB,2746.20,2718.94,5229.41,10139.69,6346.15,12296.27,5702.13,9771.41,3050.16,3816.70,3076.66,3819.83,2865.72,3960.28,4059.70,7437.81 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,68.188,64.787,87.993,86.341,86.298,87.824,78.739,77.596,62.750,54.823,65.359,55.979,70.908,65.224,79.437,70.426 "x265 - Video Input: Bosphorus 4K (FPS)",HIB,28.13,27.74,31.72,28.81,32.12,31.95,28.16,28.11,29.05,27.26,31.40,27.90,37.86,37.04,38.93,39.31 "NAS Parallel Benchmarks - Test / Class: SP.C (Mop/s)",HIB,52745.64,52684.93,125191.11,256584.67,225311.82,390520.93,127519.37,214017.18,58815.36,135939.25,69776.41,141954.15,71245.26,147311.14,109416.42,228184.68 "Y-Cruncher - Pi Digits To Calculate: 1B (sec)",LIB,10.205,10.427,6.743,8.196,7.471,8.992,6.928,7.915,8.300,6.334,7.959,6.266,7.047,5.008,6.701,5.110 "PyBench - Total For Average Test Times (Milliseconds)",LIB,976,974,818,822,818,818,974,972,763,763,762,763,765,767,691,692 "Xcompact3d Incompact3d - Input: input.i3d 193 Cells Per Direction (sec)",LIB,20.9379139,21.1780307,8.25383511,4.26078596,6.88121279,3.75319901,8.87225914,4.51061893,13.9692376,7.29349117,12.7997582,6.66387510,12.9293413,6.39169817,10.1967066,5.39125967 "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (Billion Interactions/s)",HIB,107.353,98.207,136.945,217.846,151.948,236.610,229.913,214.617,63.620,108.397,70.843,114.902,82.848,133.628,106.395,199.734 "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (GFInst/s)",HIB,2683.831,2455.163,3423.634,5446.161,3798.695,5915.253,5747.823,5365.421,1590.501,2709.930,1771.065,2872.562,2071.189,3340.694,2659.883,4993.343 "Timed Mesa Compilation - Time To Compile (sec)",LIB,21.035,21.530,16.963,16.409,16.668,16.401,19.906,19.558,20.175,18.474,19.650,18.138,19.226,18.293,17.258,16.183 "srsRAN Project - Test: PUSCH Processor Benchmark, Throughput Thread (Mbps)",HIB,112.1,112.1,112.2,112.2,112.2,112.2,112.1,112.1,129.7,129.7,129.7,129.7,129.7,129.7,129.5,129.5 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,54.60,51.51,76.83,72.68,78.15,74.03,68.56,59.01,40.23,51.91,41.34,52.23,50.03,67.64,38.02,65.38 "Timed ImageMagick Compilation - Time To Compile (sec)",LIB,17.917,18.175,13.471,12.749,12.199,11.720,16.388,15.810,16.075,14.402,15.376,14.094,14.724,13.262,12.595,11.493 "m-queens - Time To Solve (sec)",LIB,13.250,14.493,7.738,4.609,6.950,4.133,6.350,3.981,21.030,10.840,18.102,9.285,15.211,7.881,14.257,7.402 "NAS Parallel Benchmarks - Test / Class: CG.C (Mop/s)",HIB,22229.94,21684.80,53182.77,84477.72,62071.10,88487.91,43799.78,63265.01,35116.55,65396.22,35234.06,66492.44,33811.63,58128.24,63760.45,98764.93 "Y-Cruncher - Pi Digits To Calculate: 500M (sec)",LIB,5.077,5.165,3.850,4.329,4.312,4.510,3.968,4.100,3.781,3.110,3.704,2.961,3.267,2.364,3.391,2.659 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,1.80,1.69,2.73,3.49,2.66,3.47,3.16,3.57,2.27,3.49,2.39,3.66,2.71,4.48,3.32,5.09 "Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,1.79,1.69,2.73,3.48,2.64,3.45,3.12,3.59,2.26,3.51,2.38,3.65,2.71,4.41,3.31,5.03 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,75.2149,73.9073,132.4918,185.7110,155.1208,231.4272,156.3909,208.3131,75.4690,125.7494,83.4921,129.7482,91.9925,152.7472,112.6611,199.6089 "GNU Octave Benchmark - (sec)",LIB,8.929,8.948,7.528,7.645,6.857,6.955,8.801,8.848,7.622,12.617,7.748,12.578,7.532,8.036,6.458,6.856 "WebP Image Encode - Encode Settings: Quality 100, Highest Compression (MP/s)",HIB,3.03,3.03,3.62,3.62,3.61,3.62,3.04,3.03,3.10,3.09,3.10,3.09,3.08,3.07,3.47,3.46 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,62.1866,58.2776,110.5253,176.2061,130.7874,214.0178,126.1456,190.0839,58.4230,107.6299,65.3318,116.6053,70.0540,124.7084,82.9663,153.1622 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,165.089,157.362,178.516,171.218,165.753,163.795,169.230,168.779,146.097,122.089,151.718,127.546,164.250,156.516,177.861,165.495 "ASTC Encoder - Preset: Medium (MT/s)",HIB,294.6209,273.6703,449.1141,491.5344,500.7673,508.0926,527.7997,462.2382,247.2979,441.6518,284.3336,483.1049,333.9902,484.5499,327.7829,550.0168 "libavif avifenc - Encoder Speed: 6, Lossless (sec)",LIB,7.182,7.301,5.799,5.846,5.757,5.950,6.853,6.986,6.836,7.121,6.605,7.038,6.278,6.172,5.784,5.613 "ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,21.817577,20.997732,39.086262,68.868505,45.245794,78.496158,44.970826,84.688594,19.768930,39.345732,22.539990,44.668302,23.543705,45.965955,29.141078,58.253340 "NAS Parallel Benchmarks - Test / Class: MG.C (Mop/s)",HIB,63930.64,62449.55,116725.04,194942.32,134994.14,244738.81,125567.07,245447.72,85910.95,172614.10,86407.46,171436.47,83448.70,163333.21,107321.89,220893.78 "libavif avifenc - Encoder Speed: 10, Lossless (sec)",LIB,5.735,5.734,4.792,4.829,4.770,4.943,5.662,5.740,4.916,5.317,4.867,5.311,4.923,5.074,4.456,4.579 "srsRAN Project - Test: PDSCH Processor Benchmark, Throughput Thread (Mbps)",HIB,557.9,563.6,684.7,673.4,680.7,664.7,596.2,576.8,702.6,651.9,705.5,663.8,680.2,675.5,742.9,755.5 "LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,24.246,21.935,36.151,50.121,39.998,53.771,40.386,51.629,27.629,47.512,30.843,52.244,28.716,42.281,34.301,55.496 "libavif avifenc - Encoder Speed: 6 (sec)",LIB,3.484,3.623,2.756,2.810,2.723,2.890,3.251,3.341,3.730,3.776,3.550,3.738,3.169,3.044,2.971,2.805 "oneDNN - Harness: Deconvolution Batch shapes_3d - Engine: CPU (ms)",LIB,1.49835,1.79749,1.15487,1.009473,1.11923,1.001914,0.943621,0.829653,1.26407,0.945075,1.19643,0.864358,1.07743,0.736170,0.907161,0.624250 "Primesieve - Length: 1e12 (sec)",LIB,3.801,4.545,2.058,1.242,1.984,1.199,1.921,1.359,6.160,3.121,5.332,2.691,4.576,2.325,4.250,2.187 "Parallel BZIP2 Compression - FreeBSD-13.0-RELEASE-amd64-memstick.img Compression (sec)",LIB,2.200497,2.321195,1.422954,1.126329,1.369063,1.109446,1.355737,1.068398,2.632077,1.982932,2.287766,1.711296,2.144857,1.469210,1.847537,1.432362 "GNU Octave Benchmark - CPU Power Consumption Monitor (Watts)",LIB,49.95,47.63,84.26,189.57,95.8,205.11,67.77,161.36,164.13,373.8,166.55,371.49,133.36,296.93,108.34, "CPU Power Consumption Monitor - Phoronix Test Suite System Monitoring (Watts)",,128.7,114.13,244.69,464.49,290.08,525.49,225.05,375.51,291.53,566.6,295.53,569.8,278.1,517.33,260.08,455.07 "Aircrack-ng - CPU Power Consumption Monitor (Watts)",LIB,145.5,120.86,265.55,,352.69,,232.97,,311.12,585.65,309.39,585.6,307.64,552.88,302.49,498.75 "Aircrack-ng - (k/s/Watt)",HIB,1057.154,1173.567,702.972,,585.841,,763.99,,377.956,142.86,433.272,112.132,479.357,97.517,507.725,128.684 "Y-Cruncher - CPU Power Consumption Monitor (Watts)",LIB,105.12,94.34,178.56,351.79,212.59,404.17,148.59,284.7,255.33,496.54,254.54,493.66,222.94,424.33,198.74,362.82 "Y-Cruncher - CPU Power Consumption Monitor (Watts)",LIB,86.13,78.49,146.25,293.51,173.58,327.67,118.84,238.41,212.09,434.63,211.16,425.51,181.21,367.73,151.06,285.35 "Primesieve - CPU Power Consumption Monitor (Watts)",LIB,151.7,116.97,313.43,568.09,347.93,618.54,274.16,500.8,333.11,644.29,332.68,641.65,328.05,623.11,325.15,610.7 "Primesieve - CPU Power Consumption Monitor (Watts)",LIB,87.74,72.3,142.51,217.76,157.31,239.55,116.27,188.39,247.24,432.51,240.32,419.03,216.08,384.89,195.27,304.92 "Stockfish - CPU Power Consumption Monitor (Watts)",LIB,174.36,145.98,347.3,686.5,386.38,766.5,332.06,640.56,341.39,679.75,341.12,680.45,339.56,678.39,337.72,672.28 "Stockfish - Chess Benchmark (Nodes/s/Watt)",HIB,568916.363,621037.113,569277.484,540060.409,555213.837,520707.983,571475.983,470216.095,199243.059,202981.452,215737.778,219573.257,285328.343,276776.392,325017.742,331127.597 "Helsing - CPU Power Consumption Monitor (Watts)",LIB,166.23,131.19,322.19,624.24,378.16,711.96,315.34,591.29,338.57,664.49,338.48,662.24,336.32,654.95,334.81,643.2 "Xmrig - CPU Power Consumption Monitor (Watts)",LIB,139.24,125.96,304.31,592.72,375.84,706.81,232.05,494.18,327.41,673.63,341.47,672.99,339.42,669.3,334.94,645.48 "Xmrig - Variant: GhostRider - Hash Count: 1M (H/s/Watt)",HIB,33.466,36.236,46.688,45.051,42.004,44.082,40.166,36.168,16.636,16.293,17.929,18.002,17.114,16.828,25.015,25.291 "GNU Octave Benchmark - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,,,,,,,,225 "Llamafile - CPU Power Consumption Monitor (Watts)",LIB,135.55,115.77,245.28,480.08,296.68,568.13,203.84,412.48,306.79,633.28,325.29,639.77,317.1,630.52,307.46,568.91 "Llamafile - Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPU (Tokens/sec/Watt)",HIB,0.038,0.044,0.034,0.011,0.029,0.009,0.037,0.011,0.005,0.003,0.005,0.002,0.018,0.006,0.013,0.005 "Llamafile - CPU Power Consumption Monitor (Watts)",LIB,104.22,92.71,186.7,388.15,231.13,462.55,163.65,343.52,283.07,559.87,288.22,566.01,262.55,537.58,244.07,512.88 "Llamafile - Test: llava-v1.5-7b-q4 - Acceleration: CPU (Tokens/sec/Watt)",HIB,0.202,0.223,0.138,0.037,0.11,0.031,0.126,0.032,0.027,0.014,0.028,0.013,0.08,0.019,0.068,0.015 "oneDNN - CPU Power Consumption Monitor (Watts)",LIB,70.08,62.56,135.34,275.56,155.62,300.29,122.35,245.22,201.22,425.54,202.05,431.59,187.58,409.27,173.49,355.72 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,161.25,137.08,315.18,581.56,374.52,716.78,292.63,488.86,329.15,656.57,330.63,657.37,327.19,649.04,324.07,637.42 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,159.92,133.6,331.39,641.88,380.02,750.99,322.4,631.93,330.38,659.86,330.51,660.24,328.31,651.14,323.98,638.38 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,152.34,130.31,302.4,599.17,370.93,760.09,269.44,591.23,330.18,659.67,330.18,659.95,327.9,652.87,325.47,641.35 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,165.08,135.3,333.47,652.58,382.65,760.8,323.53,632.45,331.88,665.43,332.74,664.69,328.72,660.59,318.97,653.57 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,159.45,130.25,316.48,612.41,377.27,754.92,311.43,604.27,330.52,665.03,331.34,663.32,329.39,658.39,326.91,648.24 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,159.63,135.1,323.9,645.83,374.75,750.94,299.63,607.43,331.05,663.81,330.98,662.79,321.95,656.03,325.81,651.59 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,158.07,128.27,315.59,634.64,368.08,710.38,293.51,604.36,327.03,658.8,329.87,655.73,328.2,651.12,325.49,639.31 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,156.89,132.64,315.71,615.26,371.14,749.07,305.35,614.49,331,663.67,332.1,666.38,330.49,657.97,302.37,650.24 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,156.99,128.88,326.4,649.54,384.48,762.39,308.04,615.84,331.47,666.11,332.66,666.2,329.61,662.23,327.29,652.57 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,155.49,138.77,304.28,628.28,363.03,750.87,267.71,578.55,330.51,664.45,331.92,661.77,327.33,657.43,219.81,525.5 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,152.78,129.12,310.58,545.61,367.01,623.56,310.47,436.99,330.72,633.47,331.78,627.67,328.19,585.54,235.56,472.9 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,153,126.81,317.58,629.45,374.05,740.61,295.9,582.16,326.77,649.97,327.08,649.1,323.68,639.29,319.39,625.11 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,116.41,104.85,205.3,396.9,245.06,454.4,164.54,321.68,282.4,599.73,291.39,602.51,265.81,511.16,264.62,541.35 "PyTorch - Device: CPU - Batch Size: 512 - Model: ResNet-152 (batches/sec/Watt)",HIB,0.114,0.127,0.068,0.018,0.057,0.016,0.066,0.018,0.069,0.028,0.066,0.024,0.077,0.029,0.088,0.03 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,110.66,99.8,194.55,369.53,232.68,418.64,157.61,298.03,265.6,570.95,276.02,577.13,250.75,490.32,245.26,511.14 "PyTorch - Device: CPU - Batch Size: 512 - Model: ResNet-50 (batches/sec/Watt)",HIB,0.305,0.332,0.178,0.044,0.149,0.04,0.175,0.046,0.192,0.073,0.188,0.066,0.225,0.077,0.258,0.08 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,115.97,104.56,205.23,395.96,245.31,457.61,165.14,321.8,282.52,598.06,288.21,604.22,266.18,525.94,265.19,540.82 "PyTorch - Device: CPU - Batch Size: 256 - Model: ResNet-152 (batches/sec/Watt)",HIB,0.114,0.126,0.068,0.018,0.057,0.015,0.067,0.018,0.068,0.027,0.068,0.025,0.076,0.027,0.088,0.03 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,110.56,99.64,194.95,365.56,232.73,419.25,157.48,300.12,268.45,569.91,273.3,577.93,251.84,486.52,215.65,507.69 "PyTorch - Device: CPU - Batch Size: 256 - Model: ResNet-50 (batches/sec/Watt)",HIB,0.305,0.334,0.179,0.048,0.15,0.04,0.176,0.044,0.197,0.073,0.189,0.066,0.218,0.077,0.293,0.082 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,115.9,103.98,205,396.83,244.28,455.72,164.98,320.17,282.03,595.73,291.69,605.19,265.52,520.21,264.8,541.7 "PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-152 (batches/sec/Watt)",HIB,0.114,0.126,0.068,0.018,0.057,0.016,0.066,0.018,0.067,0.027,0.066,0.025,0.076,0.027,0.089,0.03 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,108.57,98.23,195.3,367.41,231.06,415.63,158.01,299.48,266.73,568.79,275.89,577.63,250.31,486.48,244,507.01 "PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-50 (batches/sec/Watt)",HIB,0.308,0.338,0.179,0.046,0.15,0.042,0.175,0.046,0.193,0.074,0.186,0.066,0.223,0.076,0.258,0.08 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,149.41,130.65,286.15,547.94,328.89,622.34,247.07,472.75,337.25,671.88,337.62,672.55,334.67,661.11,306.26,593.47 "TensorFlow - Device: CPU - Batch Size: 512 - Model: GoogLeNet (images/sec/Watt)",HIB,2.098,2.26,1.646,0.96,1.293,0.747,1.824,1.245,1.137,0.696,1.18,0.71,1.378,0.871,1.511,0.974 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,134.77,114,257.54,483.44,297.93,538.13,234.91,410.73,325.43,632.22,325.32,625.4,288.85,603.65,305.73,522.57 "TensorFlow - Device: CPU - Batch Size: 512 - Model: AlexNet (images/sec/Watt)",HIB,6.494,6.99,5.294,3.853,4.675,3.526,6.899,4.569,3.22,2.537,3.409,2.674,4.426,3.147,4.861,3.903 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,153.51,134.5,287.56,547.08,316.96,606.04,244.22,478.51,342.39,684.53,343.75,684.02,342.65,678.16,299.63,585.9 "TensorFlow - Device: CPU - Batch Size: 512 - Model: ResNet-50 (images/sec/Watt)",HIB,0.659,0.711,0.487,0.296,0.385,0.227,0.553,0.366,0.343,0.212,0.364,0.202,0.433,0.258,0.469,0.29 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,145.84,126.6,276.32,518.78,311.48,587.49,244.09,426.33,329.22,653.82,329.98,651.98,323.79,635.04,281.92,535.58 "TensorFlow - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec/Watt)",HIB,2.115,2.27,1.62,0.775,1.305,0.666,1.896,0.932,1.141,0.684,1.17,0.69,1.385,0.833,1.503,0.936 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,126.21,108,235.94,428.39,270.65,480.42,206.77,366.52,307.61,588.17,307.45,589.54,290.68,554.16,268.97,462.52 "TensorFlow - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec/Watt)",HIB,6.684,7.144,5.419,3.535,4.808,3.248,6.976,3.829,3.205,2.515,3.444,2.593,4.146,3.122,4.749,3.635 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,152.81,134.32,284.71,531.98,320.09,590.53,239.33,451.33,338.38,674.94,340.59,674.95,338.33,663.98,278.36,540.26 "TensorFlow - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec/Watt)",HIB,0.646,0.691,0.485,0.252,0.385,0.203,0.525,0.291,0.354,0.21,0.363,0.2,0.425,0.243,0.463,0.278 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,127.66,111.89,226.08,443.22,259.15,493.46,196.33,350.5,292.25,563.45,291.07,558.65,275.93,524.23,226.63,426.33 "TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec/Watt)",HIB,2.169,2.295,1.568,0.513,1.274,0.503,1.603,0.502,1.142,0.606,1.153,0.553,1.378,0.633,1.411,0.683 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,103.47,92.59,173.22,352.38,200.48,397.64,148.26,294.77,251.93,491.23,252.6,489.99,221.64,439.21,197.79,357.25 "TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec/Watt)",HIB,6.508,6.664,5.439,2.065,4.332,1.857,6.238,2.236,3.341,1.898,3.374,1.919,4.375,2.269,4.145,2.404 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,143.22,123.62,256.02,487.46,295.36,542.07,222.65,375.57,315.74,601.85,317.98,603.74,303.56,571.99,239.37,469.58 "TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec/Watt)",HIB,0.61,0.654,0.448,0.17,0.354,0.159,0.477,0.179,0.33,0.186,0.326,0.178,0.398,0.202,0.382,0.202 "srsRAN Project - CPU Power Consumption Monitor (Watts)",LIB,41.18,38.81,69.9,161.78,78.89,182.65,55.85,137.34,138.16,320.28,147.34,321.38,111.22,259.97,83.2,185.44 "srsRAN Project - Test: PDSCH Processor Benchmark, Throughput Thread (Mbps/Watt)",HIB,13.548,14.524,9.795,4.162,8.628,3.639,10.675,4.2,5.085,2.035,4.788,2.065,6.116,2.598,8.929,4.074 "srsRAN Project - CPU Power Consumption Monitor (Watts)",LIB,136.58,117.93,276.24,559.64,321.41,632.5,261.04,514.74,281.29,604.92,289.12,617.8,283.1,589.02,266.9,537.03 "srsRAN Project - Test: PDSCH Processor Benchmark, Throughput Total (Mbps/Watt)",HIB,141.87,165.234,100.256,40.976,91.424,41.071,96.515,58.043,75.675,49.984,52.161,19.208,87.208,51.117,98.832,56.883 "srsRAN Project - CPU Power Consumption Monitor (Watts)",LIB,50.19,49.36,89.27,213.93,102.46,235.89,72.27,175.84,172.93,375.78,176.34,373.48,134.44,304.32,108.29,229.54 "srsRAN Project - Test: PUSCH Processor Benchmark, Throughput Thread (Mbps/Watt)",HIB,2.234,2.271,1.257,0.524,1.095,0.476,1.551,0.637,0.75,0.345,0.736,0.347,0.965,0.426,1.196,0.564 "srsRAN Project - CPU Power Consumption Monitor (Watts)",LIB,127.74,104.99,253.54,538.17,313.37,652.65,255.23,518.41,272.33,570.06,283.68,580.82,254.1,551.02,233.17,500.5 "srsRAN Project - Test: PUSCH Processor Benchmark, Throughput Total (Mbps/Watt)",HIB,24.996,26.846,20.666,12.702,18.052,10.725,23.406,16.197,7.971,6.643,8.854,7.552,10.299,8.808,13.247,10.976 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,136.88,113.55,280.68,532.22,357.96,664.5,272.02,372.51,314.43,636.23,316.72,635.9,312.4,628.76,309.72,619.43 "Liquid-DSP - Threads: 256 - Buffer Length: 256 - Filter Length: 512 (samples/s/Watt)",HIB,5998206.236,6532499.051,4853033.938,4001237.144,4387111.536,3603186.162,6413920.522,4657018.086,2666847.494,2269719.802,2982249.167,2388645.741,3267678.463,2571656.77,3805850.457,3272343.491 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,146.02,119.1,301.36,576.16,362.54,671.41,285.46,386.37,318.17,635.13,317.3,639.74,315.8,636.78,310.3,619.49 "Liquid-DSP - Threads: 256 - Buffer Length: 256 - Filter Length: 57 (samples/s/Watt)",HIB,21345877.017,23457026.728,17475938.767,12864302.697,16030850.556,11934150.923,22424548.815,16347865.871,8954185.9,7597124.425,10156047.281,7871904.972,11085612.925,8419315.634,12268330.081,10144378.388 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,139.24,119.7,295.44,559.37,362.52,635.93,289.87,385.26,277.71,643.07,305.6,643.9,316.47,633.09,311.11,623.14 "Liquid-DSP - Threads: 256 - Buffer Length: 256 - Filter Length: 32 (samples/s/Watt)",HIB,21992105.599,23304528.154,17844515.214,13431732.687,16171511.911,12478169.669,22727990.091,16713460.665,8576477.66,7263532.035,9061082.026,8335236.319,10249944.702,9661394.053,10180344.311,9752693.411 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,138.03,114.97,265.16,405.79,362.28,497.11,264.25,362.1,316.42,641.19,315.02,634.9,313.56,572.97,308.24,611.28 "Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 512 (samples/s/Watt)",HIB,5867538.624,6364836.349,4367851.067,2957086.745,3778092.654,2805690.781,5183635.107,3727692.534,2528910.042,1702250.869,2800439.163,1899608.97,2929507.992,1966021.924,3740373.108,2443783.017 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,144.65,118.2,289.1,424.28,363.41,497.67,282.21,378.17,316.47,637.74,319.2,643.18,315.31,577.58,310.75,617.34 "Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 57 (samples/s/Watt)",HIB,20620501.379,22733164.515,14722432.568,10089896.405,13085490.528,9563226.715,16705633.011,12234041.506,8437038.987,5639264.931,9312055.816,6058163.971,10089438.811,6447020.995,11273487.108,7209189.036 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,140.38,117.41,280.2,414.47,362.99,497.93,243.96,348.37,283.2,638.24,308.8,641.03,315.8,514.38,310.33,554.16 "Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 32 (samples/s/Watt)",HIB,21706213.464,23574098.602,14392112.2,9803609.244,11993608.956,8852490.971,15541749.235,10891038.631,8304651.14,5098422.996,8871933.757,5205818.856,10135010.789,6918246.021,10144782.581,6353287.778 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,125.6,105.75,244.61,379.6,308.87,445.97,189.34,296.21,317.61,636.12,316.88,639.09,315.09,526.23,304.06,518.15 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 512 (samples/s/Watt)",HIB,5046791.277,5458880.215,3317050.155,2172222.155,2753902.958,1904459.877,3748079.599,2394875.441,1991130.778,1151612.889,2174337.875,1184768.102,2362548.083,1519282.706,2577646.645,1705499.347 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,130.03,107.3,264.48,391,309.4,443.95,191.35,295.04,316.93,636.64,318.37,643.65,315.42,531.73,307.74,511.79 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 57 (samples/s/Watt)",HIB,16817799.691,18884627.202,10813033.926,6982683.337,9250164.534,6245758.05,12777153.278,8048978.356,6748464.674,3917514.636,7252530.069,3870621.21,8050132.031,4994066.822,8044246.292,5119414.528 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,127.25,100.8,229.7,362,257.47,394.38,158.44,266.35,245.35,593.37,254.14,617.07,281.22,510.48,286.83,475.95 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 32 (samples/s/Watt)",HIB,14706486.76,17627091.456,9937920.595,6304024.25,8884551.101,5779445.487,11984070.913,7114576.176,6685402.037,3308597.894,6609424.926,3387722.726,6722664.601,3966847.18,6720931.247,4527054.555 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,49.1,48.39,91.25,218.96,103.76,240.84,72.05,178.26,116.77,274.92,123.68,280.98,90.28,231.54,79.97,197.7 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 512 (samples/s/Watt)",HIB,229953.45,232185.741,146784.937,61154.454,129024.514,54322.928,155096.199,63241.266,144779.819,61488.834,136523.063,60089.56,186991.456,72744.476,234762.355,92062.082 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,50.24,49.21,91.69,219.18,104.68,241.66,73.02,179.99,116.57,275.13,124.5,281.97,90.43,232.97,85.12,227.03 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 57 (samples/s/Watt)",HIB,919805.488,924272.739,604481.007,250729.154,529757.56,229312.069,633663.712,256852.188,575880.012,243752.916,539196.73,235014.31,741692.033,287557.789,859261.409,310526.314 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,50.79,50.11,91.67,218.3,104.65,241.89,72.89,179.59,114.68,273.12,121.77,280.07,88.61,230.15,79.05,181.13 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 32 (samples/s/Watt)",HIB,588721.266,596676.312,393460.52,165061.915,344631.618,148995.975,410323.615,166453.307,318611.935,133630.142,300054.214,130400.412,411972.013,158420.271,509090.206,215045.22 "GraphicsMagick - CPU Power Consumption Monitor (Watts)",LIB,122.54,110.39,223.17,382.8,268.23,449.12,192.51,331.64,330.14,598.34,322.19,578.67,310.53,542.66,306.84,527.29 "GraphicsMagick - Operation: Swirl (Iterations/min/Watt)",HIB,3.093,3.288,2.29,1.445,2.036,1.298,2.779,1.71,1.193,0.851,1.341,0.964,1.617,1.137,1.724,1.307 "GraphicsMagick - CPU Power Consumption Monitor (Watts)",LIB,127.19,116.15,256.57,481.76,341.04,603.16,247.13,448.99,330.11,660.39,321.22,662.12,329.54,632.93,326.08,627.19 "GraphicsMagick - Operation: Sharpen (Iterations/min/Watt)",HIB,0.881,0.904,0.674,0.544,0.589,0.492,0.838,0.69,0.345,0.301,0.405,0.343,0.476,0.419,0.512,0.453 "GraphicsMagick - CPU Power Consumption Monitor (Watts)",LIB,127.55,110.88,247.53,451.41,320.71,549.68,226.47,397.41,330.74,656.05,329.68,645.53,329.43,601.76,327.64,608.66 "GraphicsMagick - Operation: Enhanced (Iterations/min/Watt)",HIB,1.348,1.47,1.067,0.815,0.935,0.742,1.342,1.014,0.484,0.41,0.549,0.466,0.656,0.568,0.696,0.614 "GraphicsMagick - CPU Power Consumption Monitor (Watts)",LIB,86.65,79.6,153.63,297.92,176.95,331.54,123.19,243.28,271.55,486.24,257.27,476,220.76,389.84,219.79,356.85 "GraphicsMagick - Operation: Noise-Gaussian (Iterations/min/Watt)",HIB,1.42,1.507,1.041,0.597,0.932,0.54,1.226,0.674,0.552,0.308,0.614,0.345,0.716,0.467,0.778,0.544 "ASTC Encoder - CPU Power Consumption Monitor (Watts)",LIB,151.62,129.53,271.69,469.68,322.22,555.22,264.41,424.16,315.36,591.29,312.54,586.49,300.87,551.93,293.73,525.87 "ASTC Encoder - Preset: Exhaustive (MT/s/Watt)",HIB,0.023,0.025,0.021,0.023,0.02,0.021,0.029,0.033,0.01,0.011,0.012,0.012,0.014,0.015,0.016,0.017 "ASTC Encoder - CPU Power Consumption Monitor (Watts)",LIB,151.45,128.4,270.94,474.96,322.42,538.44,262.17,421.17,315.87,590.21,313.77,582.09,301.81,550,294.16,526.63 "ASTC Encoder - Preset: Very Thorough (MT/s/Watt)",HIB,0.038,0.041,0.034,0.036,0.032,0.036,0.047,0.052,0.016,0.017,0.019,0.02,0.023,0.025,0.026,0.028 "ASTC Encoder - CPU Power Consumption Monitor (Watts)",LIB,114.12,98.95,193.35,330.17,222.24,367.67,170.2,265.99,265.38,472.75,261.71,466.49,239.45,428.35,223.18,373.98 "ASTC Encoder - Preset: Thorough (MT/s/Watt)",HIB,0.359,0.384,0.338,0.319,0.33,0.316,0.505,0.456,0.139,0.153,0.164,0.179,0.214,0.203,0.244,0.262 "ASTC Encoder - CPU Power Consumption Monitor (Watts)",LIB,75.04,68.61,126.4,234.22,143.57,258.49,104.51,194.48,211.87,403.63,207.12,397.48,173.64,342.67,162.88,277.37 "ASTC Encoder - Preset: Medium (MT/s/Watt)",HIB,3.926,3.989,3.553,2.099,3.488,1.966,5.05,2.377,1.167,1.094,1.373,1.215,1.923,1.414,2.012,1.983 "libavif avifenc - CPU Power Consumption Monitor (Watts)",LIB,45.79,43.89,79.69,171.46,89.96,192.17,64.93,147.26,159.39,348.01,159.29,346.41,130.94,276.23,95.6,204.47 "libavif avifenc - CPU Power Consumption Monitor (Watts)",LIB,55.18,53.07,100.34,198.44,115.08,220.4,80.51,165.83,193.8,390.59,191.83,378.09,158.79,313.6,128.43,248.3 "libavif avifenc - CPU Power Consumption Monitor (Watts)",LIB,54.43,49.3,92.59,178.85,106.31,193.24,76.34,144.55,180.42,375.42,183.17,370.24,149.47,294.92,125.51,224.06 "libavif avifenc - CPU Power Consumption Monitor (Watts)",LIB,75.22,69.45,137.31,267.46,157.68,296.47,107.23,217.6,235.53,461.85,235.72,458.52,196.29,390.93,161.32,350.42 "libavif avifenc - CPU Power Consumption Monitor (Watts)",LIB,85.23,77.61,156.52,295.3,180.87,324.3,121.7,234.99,254.61,494.12,253.47,485.4,218.41,425.04,197.77,391.09 "WebP Image Encode - CPU Power Consumption Monitor (Watts)",LIB,53.42,52.31,96.75,225.88,109.81,249.88,77.06,186.91,184.91,407.7,190.72,397.44,148.44,324.76,128.71,274 "WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (MP/s/Watt)",HIB,0.009,0.009,0.006,0.003,0.005,0.002,0.006,0.003,0.003,0.001,0.003,0.001,0.004,0.002,0.005,0.002 "WebP Image Encode - CPU Power Consumption Monitor (Watts)",LIB,44.16,42.26,75.95,176,82.63,192.89,61.84,149.38,111.05,274.15,119.53,277,88.57,222.03,68.3,186.13 "WebP Image Encode - Encode Settings: Quality 100, Highest Compression (MP/s/Watt)",HIB,0.069,0.072,0.048,0.021,0.044,0.019,0.049,0.02,0.028,0.011,0.026,0.011,0.035,0.014,0.051,0.019 "VVenC - CPU Power Consumption Monitor (Watts)",LIB,107.71,95.43,185.29,,211.98,,139.36,,275.77,521.79,282.13,521.13,250.97,449.44,235.39,425.45 "VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS/Watt)",HIB,0.13,0.143,0.09,,0.08,,0.106,,0.051,0.023,0.051,0.023,0.06,0.028,0.068,0.031 "VVenC - CPU Power Consumption Monitor (Watts)",LIB,99.45,89.82,177.95,,204.88,,134.72,,273.3,515.79,277.48,516.46,242.83,444.48,232.82,413.94 "VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS/Watt)",HIB,0.062,0.067,0.042,,0.037,,0.048,,0.023,0.012,0.023,0.012,0.028,0.015,0.032,0.017 "FFmpeg - CPU Power Consumption Monitor (Watts)",LIB,69.48,66.97,123.07,260.19,139.07,287.45,94.92,210.54,225.58,444.37,228.49,439.08,186.45,366.29,164.12,317.18 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS/Watt)",HIB,0.675,0.701,0.452,0.203,0.4,0.191,0.499,0.224,0.21,0.102,0.211,0.107,0.267,0.133,0.329,0.168 "FFmpeg - CPU Power Consumption Monitor (Watts)",LIB,69.43,66.97,123.14,260.25,138.95,286.98,94.97,210.51,225.5,441.78,228.19,439.49,186.7,365.67,163.84,316.56 "FFmpeg - Encoder: libx265 - Scenario: Platform (FPS/Watt)",HIB,0.675,0.7,0.452,0.203,0.399,0.192,0.498,0.224,0.21,0.104,0.212,0.106,0.267,0.133,0.329,0.168 "FFmpeg - CPU Power Consumption Monitor (Watts)",LIB,65.65,63.46,116.46,253.71,131.52,280.31,90.52,205.67,215.12,429.86,216.54,428.04,175.77,355.39,150.78,282.67 "FFmpeg - Encoder: libx265 - Scenario: Upload (FPS/Watt)",HIB,0.354,0.367,0.237,0.104,0.21,0.098,0.258,0.113,0.108,0.052,0.11,0.054,0.142,0.069,0.179,0.095 "uvg266 - CPU Power Consumption Monitor (Watts)",LIB,112.52,92.93,200.36,320.69,232.88,357.6,157.17,249.19,268.38,495.22,272.27,503.31,256.47,454.5,218.83,407.69 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS/Watt)",HIB,0.445,0.483,0.31,0.167,0.269,0.154,0.346,0.185,0.147,0.09,0.15,0.092,0.193,0.121,0.16,0.132 "uvg266 - CPU Power Consumption Monitor (Watts)",LIB,130.37,107.55,209.83,464.69,310.62,527.19,224.13,362.19,299.38,571.96,306.72,582.58,287.16,543.59,283.27,536.26 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Medium (FPS/Watt)",HIB,0.148,0.166,0.15,0.09,0.105,0.086,0.145,0.105,0.051,0.039,0.051,0.042,0.062,0.051,0.059,0.057 "uvg266 - CPU Power Consumption Monitor (Watts)",LIB,130.95,107.27,258.29,473.23,317.42,543.26,227.72,375.03,301.55,575.73,306.83,590.16,289.12,547.66,291.45,550.27 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Slow (FPS/Watt)",HIB,0.13,0.147,0.108,0.086,0.092,0.08,0.127,0.099,0.044,0.034,0.045,0.038,0.054,0.045,0.055,0.049 "Kvazaar - CPU Power Consumption Monitor (Watts)",LIB,107.72,87.02,189.32,302.06,217.45,338.64,145.81,237.06,248.42,476.69,253.88,480.56,235.64,433.41,207.87,374.34 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS/Watt)",HIB,0.507,0.592,0.406,0.241,0.359,0.219,0.47,0.249,0.162,0.109,0.163,0.109,0.212,0.156,0.183,0.175 "Kvazaar - CPU Power Consumption Monitor (Watts)",LIB,121.69,99.33,219.12,404.28,273.99,469.54,188.76,323.31,280.57,533.47,286.2,550.48,263.01,490.42,276.47,509.74 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Medium (FPS/Watt)",HIB,0.2,0.232,0.181,0.151,0.148,0.135,0.207,0.169,0.065,0.05,0.066,0.054,0.08,0.065,0.09,0.082 "Kvazaar - CPU Power Consumption Monitor (Watts)",LIB,119.03,98.52,229.8,409.96,273.17,464.35,190.72,325.22,279.05,537.83,286.96,552.42,262.77,496.87,278.75,508.41 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Slow (FPS/Watt)",HIB,0.199,0.228,0.169,0.149,0.146,0.135,0.202,0.169,0.063,0.048,0.064,0.052,0.077,0.063,0.087,0.08 "x265 - CPU Power Consumption Monitor (Watts)",LIB,88.38,81.58,145.28,267.17,164.71,296.42,112.7,216.07,256.33,458.96,261.62,471.43,234.38,409.49,219.3,359.11 "x265 - Video Input: Bosphorus 4K (FPS/Watt)",HIB,0.318,0.34,0.218,0.108,0.195,0.108,0.25,0.13,0.113,0.059,0.12,0.059,0.161,0.09,0.178,0.109 "SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,82.61,74.03,140.24,264.94,159.73,294.39,108.62,214.15,242.37,457.13,245.81,456.54,204.79,378.27,196.16,333.26 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS/Watt)",HIB,0.084,0.091,0.06,0.032,0.054,0.029,0.067,0.033,0.027,0.013,0.027,0.013,0.034,0.018,0.04,0.022 "SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,77.57,67.93,134.72,247.1,151.3,273.59,106.8,200.17,226.08,442.35,228.42,442.62,195.92,364.29,181.13,309.78 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS/Watt)",HIB,0.879,0.954,0.653,0.349,0.57,0.321,0.737,0.388,0.278,0.124,0.286,0.126,0.362,0.179,0.439,0.227 "SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,59.31,55.32,104.16,206.47,118.49,231.05,83.8,168.64,186.44,399.09,186.8,400.5,149.76,313.03,130.54,245.05 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS/Watt)",HIB,2.784,2.844,1.714,0.829,1.399,0.709,2.019,1.001,0.784,0.306,0.812,0.318,1.097,0.5,1.363,0.675 "SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,60.52,55.32,105.15,206.94,118.98,231.16,84.14,171.31,187.24,398.41,187.17,401.02,155.98,317.58,131.08,247.31 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS/Watt)",HIB,2.657,2.773,1.644,0.808,1.366,0.698,1.942,0.933,0.773,0.308,0.801,0.31,1.042,0.486,1.334,0.659 "Numpy Benchmark - CPU Power Consumption Monitor (Watts)",LIB,53.3,52.61,98.86,235.19,111.7,260.26,78.72,194.78,140.29,324.03,146.89,319.82,108.92,265.77,98.99,220.31 "Numpy Benchmark - (Score/Watt)",HIB,7.918,7.962,5.359,2.249,4.854,2.079,5.405,2.17,3.29,1.343,3.164,1.375,4.183,1.716,5.255,2.36 "PyBench - CPU Power Consumption Monitor (Watts)",LIB,48.41,47.57,88.41,207.73,99.97,232.2,72.53,175.13,114.52,276.72,121.48,276.95,88.45,228.16,85.96,194.14 "Zstd Compression - CPU Power Consumption Monitor (Watts)",LIB,53.69,52.72,100.13,234.74,113.62,259.66,78.5,189.86,195.37,414.8,199.75,412.05,154.25,335.67,134.46,285.1 "Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s/Watt)",HIB,20.514,20.797,13.268,5.643,11.661,5.089,14.042,5.816,5.787,2.512,5.674,2.539,6.931,2.956,9.241,4.173 "Zstd Compression - CPU Power Consumption Monitor (Watts)",LIB,56.8,55.72,104.36,237.56,118.29,263.13,81.05,193.87,200.55,415.14,203.22,412.33,159.64,340.73,140.35,290.84 "Zstd Compression - Compression Level: 19 - Decompression Speed (MB/s/Watt)",HIB,19.698,20.546,13.308,5.818,11.711,5.292,14.065,5.875,5.616,2.506,5.548,2.52,6.465,2.828,8.705,4.008 "Parallel BZIP2 Compression - CPU Power Consumption Monitor (Watts)",LIB,55.16,50.15,87.61,151.26,100.67,170.11,71.78,126.08,174.54,345.8,174.26,340.67,149.7,288.67,124.42,201.02 "7-Zip Compression - CPU Power Consumption Monitor (Watts)",LIB,132.92,119.61,263.93,513.78,313.89,578.78,248.63,469.91,313.16,630.61,314.81,628.77,308.09,613.18,301.96,581.11 "7-Zip Compression - Test: Decompression Rating (MIPS/Watt)",HIB,2768.54,2828.903,2434.838,2011.142,2281.23,1928.993,3140.68,2852.075,663.359,637.01,773.008,746.103,934.337,908.465,1119.855,986.757 "OpenVKL - CPU Power Consumption Monitor (Watts)",LIB,138.16,120.35,273.27,546.55,349.21,677.76,265.2,522.89,327.25,647.03,328.39,649.08,321.66,633.5,320.1,630.97 "OpenVKL - Benchmark: vklBenchmarkCPU ISPC (Items / Sec/Watt)",HIB,9.163,9.78,7.601,6.102,6.861,5.763,9.457,7.673,3.798,2.745,4.129,2.853,5.391,4.287,6.261,5.106 "Intel Open Image Denoise - CPU Power Consumption Monitor (Watts)",LIB,136.47,118.45,266.61,504.98,329.68,585.9,239.18,433.56,314.57,605.57,313,608.01,304.48,573.61,290,534.18 "Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec/Watt)",HIB,0.006,0.007,0.005,0.003,0.004,0.003,0.006,0.004,0.003,0.003,0.004,0.003,0.004,0.004,0.005,0.004 "Intel Open Image Denoise - CPU Power Consumption Monitor (Watts)",LIB,123.7,107.91,233.36,424.59,282.53,499.92,205.54,372.52,286.68,550.26,284.74,538.98,268.44,496.66,249.97,440.63 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec/Watt)",HIB,0.015,0.016,0.012,0.008,0.009,0.007,0.015,0.01,0.008,0.006,0.008,0.007,0.01,0.009,0.013,0.012 "Intel Open Image Denoise - CPU Power Consumption Monitor (Watts)",LIB,124.67,107.16,230.11,425.53,284.36,502.25,203.92,369.54,287.37,542.52,283.96,539.15,271.32,501.77,249.88,443.88 "Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec/Watt)",HIB,0.014,0.016,0.012,0.008,0.009,0.007,0.015,0.01,0.008,0.006,0.008,0.007,0.01,0.009,0.013,0.011 "Embree - CPU Power Consumption Monitor (Watts)",LIB,128.92,112.82,221.71,376.52,250.47,428.94,200.39,357.16,284.3,525.15,281.67,516.97,271.03,493.94,250.53,422.5 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS/Watt)",HIB,0.482,0.517,0.499,0.468,0.522,0.499,0.629,0.532,0.206,0.205,0.232,0.226,0.258,0.252,0.331,0.363 "Embree - CPU Power Consumption Monitor (Watts)",LIB,100.16,88.8,163.54,305.41,186.36,349.82,136.96,263.84,247.01,472.12,246.7,469.55,215.69,413.97,185.86,299.17 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS/Watt)",HIB,0.642,0.713,0.693,0.575,0.716,0.602,0.978,0.759,0.263,0.222,0.291,0.24,0.368,0.32,0.523,0.579 "Embree - CPU Power Consumption Monitor (Watts)",LIB,122.78,104.66,180.38,358.56,234.18,410.15,181.41,335.83,273.07,511.17,267.87,511.91,215.03,472.72,228.28,393.21 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS/Watt)",HIB,0.613,0.706,0.735,0.518,0.662,0.564,0.862,0.62,0.276,0.246,0.312,0.253,0.428,0.323,0.494,0.508 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,138.95,120.39,254.04,534.58,304.67,672.33,229.47,541.66,313.73,589.92,312.09,583.5,299.76,554.33,290.6,518.28 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,121.97,107.81,273.01,573.82,329.8,623.33,256.1,558.27,291.26,614.16,287.68,609.51,268.15,588.27,252.77,616.75 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,131.5,114.16,263.32,534.76,323.21,642.74,249.28,515,307.39,605.57,306.2,606.68,293.93,588.21,290.77,574.5 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,135.52,117.68,244.64,559.19,290.44,653.11,219.88,522.41,308.64,577.01,306.37,571.94,292.18,535.88,281.84,606.49 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,118.24,103.3,265.51,548.32,320.39,696.59,245.02,564.91,283.63,606.6,281.43,599.93,259.12,622.79,299.63,573.74 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,131.28,112.81,259.52,533.99,319.28,640.62,248.39,518.09,304.87,603.55,303.61,602.84,292.35,584.71,288.94,571.36 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,129.01,113.27,261.28,553.25,332.91,682.63,264.01,526.9,255.3,627.62,301.86,630.06,296.81,625.45,288.49,591.05 "OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec/Watt)",HIB,0.139,0.145,0.107,0.086,0.098,0.081,0.133,0.107,0.063,0.047,0.061,0.053,0.074,0.061,0.106,0.091 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,148.12,127.12,291.85,600.41,383.1,764.28,308.84,596.49,268.43,682.67,334.1,681.19,336.31,681.46,338.48,677.36 "OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec/Watt)",HIB,0.121,0.129,0.096,0.079,0.085,0.072,0.114,0.095,0.06,0.043,0.056,0.049,0.065,0.056,0.091,0.08 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,136.83,119.14,273.92,577.89,367.12,718.49,289.58,573.28,317.76,652.41,318.09,650.92,311.6,631.92,308.08,630.9 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec/Watt)",HIB,0.135,0.142,0.112,0.091,0.094,0.084,0.13,0.111,0.063,0.055,0.07,0.06,0.079,0.068,0.088,0.077 "LuxCoreRender - CPU Power Consumption Monitor (Watts)",LIB,150.1,128.09,296.6,586.21,373.72,722.97,298.61,551.09,326.79,656.04,327.46,656.25,323.08,646.27,320.73,639.12 "LuxCoreRender - Scene: Orange Juice - Acceleration: CPU (M samples/sec/Watt)",HIB,0.092,0.101,0.072,0.051,0.066,0.046,0.08,0.059,0.036,0.026,0.038,0.025,0.042,0.029,0.046,0.031 "LuxCoreRender - CPU Power Consumption Monitor (Watts)",LIB,149.9,131.25,284.2,537.06,365.21,620.51,288.11,450.3,324.24,650.43,325.06,649.71,319.52,636.83,318.84,634.64 "LuxCoreRender - Scene: LuxCore Benchmark - Acceleration: CPU (M samples/sec/Watt)",HIB,0.049,0.053,0.04,0.02,0.034,0.017,0.043,0.021,0.019,0.01,0.021,0.011,0.022,0.014,0.025,0.014 "LuxCoreRender - CPU Power Consumption Monitor (Watts)",LIB,156.14,128.95,299.39,573.93,384.12,739.45,311.89,561.1,331.26,665.76,330.29,668.4,330.53,664.56,326.43,654.92 "LuxCoreRender - Scene: DLSC - Acceleration: CPU (M samples/sec/Watt)",HIB,0.06,0.066,0.048,0.031,0.042,0.031,0.054,0.039,0.023,0.015,0.024,0.016,0.026,0.017,0.029,0.019 "Appleseed - CPU Power Consumption Monitor (Watts)",LIB,137.83,115.79,254.33,,308.24,,224.95,,328.29,604.56,299.9,609.71,287.38,558.49,282.12,529.15 "Blender - CPU Power Consumption Monitor (Watts)",LIB,148.28,127.16,272.23,483.45,316.57,553.98,255.66,438.61,322.02,603.68,320.19,605.47,311.52,575.47,303.23,545.55 "Blender - CPU Power Consumption Monitor (Watts)",LIB,166.92,139.56,319.36,632.52,388.09,738.74,321.43,614.31,343.06,675.87,342.89,673.68,340.87,666.99,339.43,660.14 "Blender - CPU Power Consumption Monitor (Watts)",LIB,163.93,133.17,312.47,592.5,370.95,677.05,304.63,465.54,336.64,656.12,337.24,654.26,332.25,638.84,330.4,624.76 "Blender - CPU Power Consumption Monitor (Watts)",LIB,152.85,126.35,277.68,491.93,322.13,561.28,261.77,447.74,321.04,607.36,319.1,602.46,313.33,570.45,303.18,546.98 "Blender - CPU Power Consumption Monitor (Watts)",LIB,159.04,130.93,300.94,570.92,365.01,671.43,295.34,534.08,334.43,652.82,335.02,648.81,330.03,636.73,326.8,621.31 "Blender - CPU Power Consumption Monitor (Watts)",LIB,146.16,121.31,264.26,465.75,314.77,521.92,247.78,414.63,316.78,589.35,311.66,584.52,303.66,556.95,297.61,522.14 "OpenRadioss - CPU Power Consumption Monitor (Watts)",LIB,143.22,128.33,270.92,495.69,309.02,526.7,249.04,450.48,328.51,624.98,329.11,619.95,321.19,600.33,313.77,561.7 "OpenRadioss - CPU Power Consumption Monitor (Watts)",LIB,147.36,129.32,303.45,595.98,370.43,702.37,297.41,554.53,335.98,661.11,334.64,658.11,331.72,647.82,328.15,633.7 "OpenRadioss - CPU Power Consumption Monitor (Watts)",LIB,127.55,113.05,238.37,439.02,276.69,493.1,210.23,357.25,302.43,570.84,297.92,572.24,289.5,545.45,272.03,504.55 "OpenFOAM - CPU Power Consumption Monitor (Watts)",LIB,151.27,136.84,315.41,646.4,383.05,754.07,299.74,608.58,345.8,682.47,345.66,683.58,345.17,677.95,342.05,662.55 "OpenFOAM - CPU Power Consumption Monitor (Watts)",LIB,144.44,127.4,291.57,556.32,354.56,654.7,279.79,494.35,327.52,635.4,326.72,635.45,321.01,612,309.91,575.65 "BRL-CAD - CPU Power Consumption Monitor (Watts)",LIB,163.9,136.21,108.44,253.41,122.33,279.26,92.03,216.96,344.46,388.83,345.21,393.74,343.48,322.45,344.14,310.13 "BRL-CAD - VGR Performance Metric (VGR Performance Metric/Watt)",HIB,5198.177,5662.817,29152.602,24316.784,25526.512,22179.786,37864.302,27017.582,2072.641,9409.683,2224.181,10350.359,2427.744,12829.713,2664.368,16724.437 "Xcompact3d Incompact3d - CPU Power Consumption Monitor (Watts)",LIB,140.74,129.67,296.94,638.9,359.91,750.96,271.32,591.17,342.5,685.84,345.35,686.09,344.75,681.46,333.9,675.14 "Xcompact3d Incompact3d - CPU Power Consumption Monitor (Watts)",LIB,124.9,114.52,216.15,371,254.46,431.35,200.17,313.08,288.56,524.04,283.32,524.59,278.29,495.02,251.56,426.75 "NWChem - CPU Power Consumption Monitor (Watts)",LIB,162.23,137.83,345.69,703.69,406.11,811.84,342.47,698.14,343.96,692.7,345.72,695.19,346.91,695.26,347.16,694.86 "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,97.98,88.65,149.28,279.06,161.61,299.85,154.31,248.47,223.5,424.86,226.18,429.08,215.9,400.48,158.85,323.22 "NAS Parallel Benchmarks - Test / Class: CG.C (Mop/s/Watt)",HIB,226.885,244.609,356.265,302.724,384.091,295.111,283.842,254.616,157.124,153.926,155.777,154.965,156.606,145.148,401.377,305.562 "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,70.53,65.48,109.02,236.74,120.62,263.66,99.22,248.27,172.14,362.6,179.93,377.22,161.26,328.87,125.05,291.62 "NAS Parallel Benchmarks - Test / Class: MG.C (Mop/s/Watt)",HIB,906.458,953.719,1070.683,823.456,1119.201,928.221,1265.546,988.646,499.075,476.052,480.219,454.469,517.494,496.644,858.239,757.48 "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,108.72,97.74,176.27,316.24,198.04,348.31,156.42,307.47,256.12,520.51,262.81,526.3,242.56,473.71,225.16,405.72 "NAS Parallel Benchmarks - Test / Class: IS.D (Mop/s/Watt)",HIB,25.26,27.818,29.667,32.063,32.045,35.302,36.454,31.78,11.909,7.333,11.707,7.258,11.814,8.36,18.03,18.332 "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,134.2,119.33,228.74,394.96,255.3,426.04,215.95,376.89,309.61,558.68,303.7,563.63,296.18,533.96,265.82,442.63 "NAS Parallel Benchmarks - Test / Class: SP.C (Mop/s/Watt)",HIB,393.051,441.5,547.318,649.644,882.532,916.624,590.509,567.854,189.967,243.324,229.752,251.859,240.551,275.884,411.618,515.524 "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,118.96,107.92,201.73,354.21,224.61,394.59,198.26,325.31,280.72,537.56,292.98,538.25,268.4,499.73,241.46,403.9 "NAS Parallel Benchmarks - Test / Class: LU.C (Mop/s/Watt)",HIB,1120.427,1212.351,1333.708,1335.18,1613.952,1398.792,1409.218,1808.53,449.456,459.151,449.2,478.185,503.441,522.536,960.887,1127.297 "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,129.08,113.27,242.89,416.97,307.77,495.73,234.01,379.03,254.67,537.97,270.13,561.84,291.31,520.43,276.68,471.7 "NAS Parallel Benchmarks - Test / Class: EP.D (Mop/s/Watt)",HIB,49.709,50.719,43.855,46.562,37.119,44.715,53.739,58.089,21.074,20.392,23.86,22.77,25.961,28.72,29.236,33.928 "Pennant - CPU Power Consumption Monitor (Watts)",LIB,123.57,110.49,200.64,351.84,242.71,404.01,182.99,310.27,303.18,573.95,298.37,569.16,287.94,535.71,279.92,489.66 "Pennant - CPU Power Consumption Monitor (Watts)",LIB,107.18,95.67,170.76,322.18,196.35,370.49,156.67,291.74,241.62,448.22,234.93,450.17,222.1,414.55,191.11,342.65 "High Performance Conjugate Gradient - CPU Power Consumption Monitor (Watts)",LIB,141.98,131.23,273.24,612.13,330.25,722.2,238.17,563.2,344.79,690.6,345.19,683.79,344.43,688.79,340.38,685.14 "High Performance Conjugate Gradient - X Y Z: 144 144 144 - RT: 60 (GFLOP/s/Watt)",HIB,0.156,0.169,0.104,0.069,0.084,0.062,0.099,0.074,0.073,0.079,0.089,0.092,0.09,0.088,0.103,0.101 "GPAW - CPU Power Consumption Monitor (Watts)",LIB,154.54,136.93,300.58,562.66,353.01,641.29,293.6,513.29,327.19,621.08,324.94,622.05,322.66,606.84,314.73,568.78 "QMCPACK - CPU Power Consumption Monitor (Watts)",LIB,154.43,132.24,316.1,635.44,391.36,767.28,319.33,628.81,323.64,673.9,338.77,676.4,337.54,670.52,335.13,660.86 "QuantLib - CPU Power Consumption Monitor (Watts)",LIB,157.98,127.97,316.09,644.13,369.92,730.61,311.83,633.06,321.14,660.57,328.34,662.07,325.01,651.9,322.97,650.23 "QuantLib - Configuration: Multi-Threaded (MFLOPS/Watt)",HIB,1092.364,1202.803,930.7,921.008,864.576,881.583,1200.708,1200.397,447.644,436.185,495.612,477.833,552.74,537.18,605.775,585.747 "QuantLib - CPU Power Consumption Monitor (Watts)",LIB,52.79,51.72,92.05,217.74,105.22,244.1,74.58,184.09,120.93,287.73,129.58,292.75,100.48,241.52,79.4,238.94 "QuantLib - Configuration: Single-Threaded (MFLOPS/Watt)",HIB,49.122,50.135,33.742,14.23,29.597,12.804,34.812,14.074,26.675,11.146,24.919,11.009,31.944,13.291,45.349,15.009 "CloverLeaf - CPU Power Consumption Monitor (Watts)",LIB,143.82,132.66,250.17,483.81,301.76,538.72,200.7,388.45,345.92,677.8,346.15,680.25,346.05,685.99,289.13,524.03 "CloverLeaf - CPU Power Consumption Monitor (Watts)",LIB,132.55,122.03,223.18,437.97,264.63,499.33,183.89,366.92,324.2,623.99,323.64,627.92,320.54,611.92,299.62,552.24 "GROMACS - CPU Power Consumption Monitor (Watts)",LIB,137.24,120.24,260.21,505.98,317.95,601.18,250.1,455.51,314,602.79,311.94,603.46,306.77,584.52,289.21,535.3 "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day/Watt)",HIB,0.047,0.052,0.048,0.04,0.048,0.037,0.053,0.047,0.024,0.022,0.027,0.023,0.029,0.026,0.036,0.035 "NAMD - CPU Power Consumption Monitor (Watts)",LIB,130.18,114.62,235.77,289.28,274.76,343.59,206.2,249.94,281.33,560.13,295.54,565.07,273.91,552.42,260.62,510.74 "NAMD - Input: STMV with 1,066,628 Atoms (ns/day/Watt)",HIB,0.012,0.013,0.012,0.018,0.012,0.019,0.014,0.023,0.005,0.003,0.005,0.003,0.004,0.002,0.006,0.004 "NAMD - CPU Power Consumption Monitor (Watts)",LIB,109.51,96.77,187.68,262.91,180.85,326.5,165.67,225.05,248.99,522.05,269.88,550.3,258.53,533.68,236.13,484.77 "NAMD - Input: ATPase with 327,506 Atoms (ns/day/Watt)",HIB,0.052,0.056,0.044,0.068,0.052,0.064,0.048,0.084,0.024,0.014,0.022,0.005,0.011,0.004,0.02,0.012 "ASKAP - CPU Power Consumption Monitor (Watts)",LIB,126.56,115.4,245.74,519.5,300.8,611.81,214.21,492.69,311.12,633.57,309.44,637.73,314.14,626.07,297.8,562.35 "ASKAP - Test: tConvolve MPI - Gridding (Mpix/sec/Watt)",HIB,130.955,142.115,188.139,167.001,247.301,199.37,134.702,109.736,69.962,67.774,75.135,70.868,67.85,66.723,125.136,128.042 "miniFE - CPU Power Consumption Monitor (Watts)",LIB,96.36,86.83,152.24,309.09,177.88,330.55,127.63,258.88,253.53,498.77,260.35,500.61,224.98,424.3,198.71,366.83 "miniFE - Problem Size: Small (CG Mflops/Watt)",HIB,254.515,282.716,334.412,140.835,298.897,179.901,392.866,162.673,79.244,39.851,71.524,43.114,156.594,110.483,160.181,114.806 "m-queens - CPU Power Consumption Monitor (Watts)",LIB,122.5,106.99,221.83,366.51,267.9,412.8,202.95,316.2,241.11,465.55,260.39,502.47,266.4,497.84,278.57,481.61 "LAMMPS Molecular Dynamics Simulator - CPU Power Consumption Monitor (Watts)",LIB,153.16,132.09,318.64,633.05,399.48,785.79,318.23,624.63,345.23,685.33,344.05,682.64,343.29,680.62,341.9,673.08 "LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day/Watt)",HIB,0.18,0.192,0.133,0.09,0.117,0.079,0.151,0.094,0.082,0.068,0.093,0.076,0.102,0.074,0.11,0.084 "LAMMPS Molecular Dynamics Simulator - CPU Power Consumption Monitor (Watts)",LIB,52.44,48.67,97.2,265.38,111.71,300.13,89.57,252.99,150.09,368.48,147.45,384.54,137.71,354.59,100.63,283.35 "LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day/Watt)",HIB,0.462,0.451,0.372,0.189,0.358,0.179,0.451,0.204,0.184,0.129,0.209,0.136,0.209,0.119,0.341,0.196 "miniBUDE - CPU Power Consumption Monitor (Watts)",LIB,144.45,124.23,283.82,495.6,340.93,581.3,274.94,431.39,286.83,605.49,314.81,621.91,316.19,578.13,323.61,600.52 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (Billion Interactions/s/Watt)",HIB,0.746,0.789,0.605,0.588,0.551,0.532,0.847,0.669,0.245,0.211,0.248,0.215,0.275,0.244,0.334,0.319 "miniBUDE - CPU Power Consumption Monitor (Watts)",LIB,106.48,94.19,194.1,332.37,237.41,387.38,162.7,293.27,242.48,476.05,253.17,496.58,255.91,459.2,239.11,396.77 "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (Billion Interactions/s/Watt)",HIB,1.008,1.043,0.706,0.655,0.64,0.611,1.413,0.732,0.262,0.228,0.28,0.231,0.324,0.291,0.445,0.503 "LULESH - CPU Power Consumption Monitor (Watts)",LIB,113.47,103.72,181.42,394.86,209.57,446.2,180.07,376.23,237.51,533.2,248.64,531.65,218.49,494.73,246.63,492.01 "LULESH - (z/s/Watt)",HIB,149.38,162.516,143.767,123.489,130.205,122.543,134.497,122.601,100.411,97.716,103.891,100.197,105.599,88.379,155.837,143.954 "RELION - CPU Power Consumption Monitor (Watts)",LIB,163.61,148.71,320.59,622.74,394.87,752.52,270.75,553.69,345.11,683.82,344.98,682.36,344.24,679.44,341.82,665.17 "ACES DGEMM - CPU Power Consumption Monitor (Watts)",LIB,109.94,95.47,182.5,302.67,230.52,364.55,178.2,290.43,276.9,507,277.15,496.59,252.19,453.94,239.87,390.95 "ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s/Watt)",HIB,0.198,0.22,0.214,0.228,0.196,0.215,0.252,0.292,0.071,0.078,0.081,0.09,0.093,0.101,0.121,0.149 "WRF - CPU Power Consumption Monitor (Watts)",LIB,145.37,129.9,300.18,658.99,373.92,789.57,281.34,632.77,344.06,697.26,348.35,697.18,348.04,696.45,346.87,696.98 "Algebraic Multi-Grid Benchmark - CPU Power Consumption Monitor (Watts)",LIB,123.07,110.44,241.77,504.15,286.5,601.82,214.44,502.96,295.22,593.28,297.94,600.53,296.41,591.89,285.81,553.59 "Algebraic Multi-Grid Benchmark - (Figure Of Merit/Watt)",HIB,9344903.379,10387087.222,9442032.066,8578578.697,8293777.779,7422966.054,10610537.816,5533330.979,5380716.027,5320019.076,5363427.408,5337195.705,5415151.056,5278683.301,6349445.213,6520382.598 "Google SynthMark - CPU Power Consumption Monitor (Watts)",LIB,50.47,49.36,90.1,216.87,103.33,241.28,72.82,181.43,113.78,306.14,120.87,277.45,93.65,234.1,102.83,256.19 "Google SynthMark - Test: VoiceMark_100 (Voices/Watt)",HIB,12.984,13.295,8.699,3.607,7.582,3.246,9.006,3.61,6.25,2.322,5.891,2.567,7.626,3.044,7.777,3.121 "Coremark - CPU Power Consumption Monitor (Watts)",LIB,144.77,122.91,296.23,535.89,341.96,617.5,269.93,489.3,261.99,519.35,282.3,557.64,293.49,548.16,313.68,590.2 "Coremark - CoreMark Size 666 - Iterations Per Second (Iterations/Sec/Watt)",HIB,15712.092,16836.692,13254.143,14883.363,12144.305,13681.179,16764.474,16699.882,6163.4,5763.196,6571.616,5880.624,7477.769,7118.465,7555.564,8414.462 "SecureMark - CPU Power Consumption Monitor (Watts)",LIB,53.23,52.31,98.33,235.38,111.99,261.84,78.24,196.37,120.26,281.43,126.1,284.83,91.51,232.4,85.06,248.23 "SecureMark - Benchmark: SecureMark-TLS (marks/Watt)",HIB,4697.252,4781.857,3034.031,1272.879,2686.162,1152.375,3204.233,1278.585,2308.757,986.368,2198.707,973.545,3029.2,1185.32,3643.381,1242.557 "Speedb - CPU Power Consumption Monitor (Watts)",LIB,150.95,122.29,283.98,496.84,343.59,575.41,244.15,428.8,331.78,654.26,333.11,666.91,330.55,658.68,325.5,573.79 "Speedb - Test: Read While Writing (Op/s/Watt)",HIB,79851.054,97163.654,63472.871,61034.967,57032.771,57884.556,93506.835,85339.034,26509.913,21183.203,29984.576,23023.232,32356.037,26260.047,37383.406,30648.421 "Speedb - CPU Power Consumption Monitor (Watts)",LIB,150.73,120.08,274.09,567.45,382.79,767.34,296.2,596.13,310.76,652.02,327.7,666.37,330.77,660.7,327.52,654.93 "Speedb - Test: Random Read (Op/s/Watt)",HIB,1818446.427,2023204.528,1563545.137,1511464.502,1404496.492,1380809.625,1991742.681,1962564.718,680456.82,644065.874,744809.116,747196.351,834970.472,834394.351,962315.697,894980.08 "RocksDB - CPU Power Consumption Monitor (Watts)",LIB,155.39,134,300.55,576.34,383.63,671.28,301.4,505.19,332.58,651.38,331.82,663.3,330.54,656.04,323.9,558.28 "RocksDB - Test: Read While Writing (Op/s/Watt)",HIB,60067.213,66672.697,48605.69,34889.647,36906.825,29572.893,52342.461,45330.18,22369.26,14775.494,22200.615,16920.458,23723.763,18781.267,27560.284,22256.949 "RocksDB - CPU Power Consumption Monitor (Watts)",LIB,149.48,119.15,268.72,551.56,384.04,768.58,292.89,595.15,309.28,666.86,332.82,667.81,330.58,663.47,328.84,658.59 "RocksDB - Test: Random Read (Op/s/Watt)",HIB,1780768.795,1972313.572,1523041.949,1477897.339,1362651.036,1341709.997,1957165.935,1907427.817,663946.02,608125.969,704496.503,709419.371,802721.251,791368.938,904750.009,878232.537 "Memcached - CPU Power Consumption Monitor (Watts)",LIB,137.94,113.8,264.56,472.39,334.34,543.22,235.06,393.77,291.06,550.54,302.36,567.79,287.94,545.78,262.73,492.94 "Memcached - Set To Get Ratio: 1:100 (Ops/sec/Watt)",HIB,44935.744,51146.062,31074.263,17990.135,25824.733,15985.006,32910.933,19415.876,15062.127,6127.333,14272.391,5975.545,15564.525,5947.325,18089.297,7668.806 "PostgreSQL - CPU Power Consumption Monitor (Watts)",LIB,138.72,121.21,271.07,495.05,355.49,584.31,253.4,404.84,311.81,563.23,316.32,578.23,302.76,544.97,271.55,487.56 "PostgreSQL - CPU Power Consumption Monitor (Watts)",LIB,135.16,110.68,254.31,431.32,299.03,483.2,207.74,361.97,311.42,553.8,315.59,561.38,299.36,519.08,275.46,361.27 "ClickHouse - CPU Power Consumption Monitor (Watts)",LIB,82.96,76.83,138.04,280.91,160.48,314,109.76,230.4,238.9,469.37,241.61,466.07,205.71,396.39,176.29,340.3 "ClickHouse - 100M Rows Hits Dataset, Third Run (Queries/min, Geo Mean/Watt)",HIB,4.085,4.366,4.053,1.87,3.709,1.676,4.182,1.857,1.967,1.068,1.974,1.012,2.341,1.265,2.599,1.289 "Apache IoTDB - CPU Power Consumption Monitor (Watts)",LIB,82.51,76.32,138.03,264.94,157,298.36,110.92,220.99,249.87,494.07,254.04,495.29,216.73,425.12,171.59,337.01 "Apache IoTDB - CPU Power Consumption Monitor (Watts)",LIB,72.92,68.28,122.12,254.51,141.12,291.76,100.77,215.97,242.09,485.64,245.7,492.49,204.83,422.43,159.48,329.73 "John The Ripper - CPU Power Consumption Monitor (Watts)",LIB,159.97,132.61,318.91,645.56,362.14,719.09,348.48,688.39,252.7,532.41,277.33,597.63,297.81,628.83,311.42,619.88 "John The Ripper - Test: WPA PSK (Real C/S/Watt)",HIB,2414.267,2563.928,2017.719,1941.48,1853.75,1799.495,2304.833,2253.096,1133.974,1057.218,1204.614,1100.827,1347.41,1261.475,1374.722,1285.88 "John The Ripper - Test: bcrypt (Real C/S/Watt)",HIB,749.166,920.407,606.473,573.886,531.63,523.956,759.599,705.604,256.345,241.559,273.696,256.68,305.824,292.685,342.684,334.528 "John The Ripper - CPU Power Consumption Monitor (Watts)",LIB,135.67,101.56,274.61,556.51,362.61,709.94,289.87,583.61,264.03,553.66,288.1,605.28,308.91,627.31,308.68,618.12 "John The Ripper - Test: Blowfish (Real C/S/Watt)",HIB,753.262,805.428,605.492,568.709,531.077,527.638,757.826,711.796,257.143,243.04,274.735,258.82,305.954,291.558,339.84,332.346 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,164.05,139.18,330.48,672.12,401.15,801.95,360.05,727.96,283.74,591.08,311.09,648.38,337.59,685.93,339.43,684.71 "OpenSSL - Algorithm: ChaCha20-Poly1305 (byte/s/Watt)",HIB,1287300050.021,1388893901.1,1061980440.863,1039886433.305,957073830.822,957228032.133,1269363721.237,1244610923.327,568545794.248,542055990.773,603664493.394,574875604.572,666607882.232,644676877.167,658820863.842,648595124.994 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,168.33,140.34,333.21,676.63,400.2,802.61,365.67,734.92,279.08,580.95,309.29,617.86,323.5,666.88,341.17,681.84 "OpenSSL - Algorithm: ChaCha20 (byte/s/Watt)",HIB,1824186596.162,2009755510.332,1510491450.863,1480134319.021,1361592598.325,1353849347.71,1795036060.876,1778324265.615,811931853.539,774438543.705,852735838.292,846331621.988,977212174.268,936302176.041,1008751851.933,1003586866.34 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,165.11,139.04,329.31,667.48,400.94,801.19,345.26,697.23,307.21,637.41,330.83,676.75,341.81,685.37,341.83,682.81 "OpenSSL - Algorithm: AES-256-GCM (byte/s/Watt)",HIB,2800094011.975,2991193842.104,2331206946.711,2286984508.787,2144285710.422,2139406659.572,2889219779.917,2844279712.451,1651813451.146,1587520126.44,1789501537.543,1745319585.655,2048623453.067,1998240264.777,2177657519.609,2193171119.606 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,167.37,140.35,334.06,676.55,401.21,802.39,348.22,703.84,315.01,649.22,337.66,684.67,329.5,673.67,342.1,683.16 "OpenSSL - Algorithm: AES-128-GCM (byte/s/Watt)",HIB,3225126995.217,3483917754.1,2686039538.134,2638396951.998,2482510440.025,2480518885.864,3351926704.37,3291374680.153,2035473064.321,1967868118.176,2214398499.057,2168460340.433,2333237948.273,2275619248.607,2600338214.728,2589909503.867 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,157.87,133.8,308.23,626.99,400.14,800.66,334.48,676.44,299.98,626.29,330.77,677.46,341.09,686.01,341.79,684.47 "OpenSSL - Algorithm: SHA512 (byte/s/Watt)",HIB,154425638.145,165874523.259,128564080.982,125714359.157,114623223.179,114225793.097,157697655.074,154893248.591,54000562.667,51580447.521,57121711.228,55449110.374,65144677.296,62457308.503,69884736.571,67966151.085 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,159,132.64,327.28,665.36,400.88,802.07,334.62,678.72,282.15,591.26,309.57,642.97,326.01,663.83,341.03,683.42 "OpenSSL - Algorithm: SHA256 (byte/s/Watt)",HIB,469088919.271,511227929.805,386445411.79,378210579.188,345260515.928,344443539.202,481947170.761,471857277.56,157500377.521,149911179.445,167457577.179,160789835.778,189585676.929,179424218.788,195213927.957,193109819.083 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,154.87,122.85,291.95,605.29,391.59,784.12,320.74,654.68,302.47,629.88,326.8,669.72,335.05,686.36,342.08,686.24 "OpenSSL - Algorithm: RSA4096 (verify/s/Watt)",HIB,5691.681,6595.71,4919.81,4728.284,4121.234,4099.327,5836.731,5696.67,2306.661,2215.41,2489.804,2430.792,2907.569,2791.77,3030.658,2997.545 "Timed ImageMagick Compilation - CPU Power Consumption Monitor (Watts)",LIB,69.48,65.12,120.39,245.77,139.23,273.56,97.43,204.88,220.79,435.59,220.24,429.23,186.22,362.03,162.46,295.33 "Timed Mesa Compilation - CPU Power Consumption Monitor (Watts)",LIB,79,73.01,132.61,251.26,153.28,287.81,109.13,215.57,232.74,446.38,228.31,442.47,172.35,374.89,176.64,324.23 "Timed LLVM Compilation - CPU Power Consumption Monitor (Watts)",LIB,134,117.14,241.32,427.31,289.22,491.18,221.05,382.15,314.74,591.84,311.03,582.56,298.24,544.93,291.41,519.72 "Timed Gem5 Compilation - CPU Power Consumption Monitor (Watts)",LIB,96.65,87.52,170.81,320.45,201.66,360.36,144.58,270.24,257.31,479.92,254.21,472.13,228.11,415.56,215.42,377.81 "Timed Node.js Compilation - CPU Power Consumption Monitor (Watts)",LIB,134.67,118.09,242.47,430.05,289.15,490.25,210.13,361.3,318.88,601.52,317.34,584.7,305.63,555.35,295.74,529.15 "Timed Godot Game Engine Compilation - CPU Power Consumption Monitor (Watts)",LIB,110.14,97.75,188.63,338.4,222.04,383.39,152.32,276.98,285.63,527.95,282.51,519.6,255.97,461.39,236.2,430.41 "Timed FFmpeg Compilation - CPU Power Consumption Monitor (Watts)",LIB,90.17,81.55,151.49,281.94,171.98,314.5,124.42,238.4,250.86,470.97,251.37,467.2,220.08,400.67,198.27,348.01 "Timed Linux Kernel Compilation - CPU Power Consumption Monitor (Watts)",LIB,150.79,129.6,282.28,525.29,348.42,621.64,262.8,484.57,330.93,639.43,330.36,634.18,323.36,610.89,317.64,585.62 "Timed Linux Kernel Compilation - CPU Power Consumption Monitor (Watts)",LIB,97.22,87.28,175.53,317.6,210.93,375.56,155.1,283.46,265.23,492.26,260.34,486.28,234.11,425.97,214.95,384.63

Linux 6.9 + Ubuntu 22.04 Intel AMD Server CPU Benchmarks