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

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2024 Server CPUs 2 x Intel Xeon 6780E testing with a Quanta Cloud QuantaGrid D55Q-2U S7Q-MB-MPS-MDP (2A05.QCT001 BIOS) and ASPEED on Ubuntu 24.04 via the Phoronix Test Suite. ,,"Xeon Platinum 8490H","Xeon Platinum 8490H 2P","Xeon Platinum 8592+","Xeon Platinum 8592+ 2P","Xeon Max 9468","Xeon Max 9468 2P","Xeon Max 9480","Xeon Max 9480 2P","Xeon Platinum 8380 2P","Xeon Platinum 8380","EPYC 9684X 2P","EPYC 9684X","EPYC 9654","EPYC 9654 2P","EPYC 9754","EPYC 9754 2P","EPYC 8534P","EPYC 8534PN","Xeon 6766E 2P","Xeon 6766E","Xeon 6780E","Xeon 6780E 2P" Processor,,Intel Xeon Platinum 8490H @ 3.50GHz (60 Cores / 120 Threads),2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads),INTEL XEON PLATINUM 8592+ @ 3.90GHz (64 Cores / 128 Threads),2 x INTEL XEON PLATINUM 8592+ @ 3.90GHz (128 Cores / 256 Threads),Intel Xeon Max 9468 @ 3.50GHz (48 Cores / 96 Threads),2 x Intel Xeon Max 9468 @ 3.50GHz (96 Cores / 192 Threads),Intel Xeon Max 9480 @ 3.50GHz (56 Cores / 112 Threads),2 x Intel Xeon Max 9480 @ 3.50GHz (112 Cores / 224 Threads),2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads),Intel Xeon Platinum 8380 @ 3.40GHz (40 Cores / 80 Threads),2 x AMD EPYC 9684X 96-Core @ 2.55GHz (192 Cores / 384 Threads),AMD EPYC 9684X 96-Core @ 2.55GHz (96 Cores / 192 Threads),AMD EPYC 9654 96-Core @ 2.40GHz (96 Cores / 192 Threads),2 x AMD EPYC 9654 96-Core @ 2.40GHz (192 Cores / 384 Threads),AMD EPYC 9754 128-Core @ 2.25GHz (128 Cores / 256 Threads),2 x AMD EPYC 9754 128-Core @ 2.25GHz (256 Cores / 512 Threads),AMD EPYC 8534P 64-Core @ 2.30GHz (64 Cores / 128 Threads),AMD EPYC 8534PN 64-Core @ 2.00GHz (64 Cores / 128 Threads),2 x Intel Xeon 6766E @ 2.70GHz (288 Cores),Intel Xeon 6766E @ 2.70GHz (144 Cores),Intel Xeon 6780E @ 3.00GHz (144 Cores),2 x Intel Xeon 6780E @ 3.00GHz (288 Cores) Motherboard,,Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS),Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS),Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS),Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS),Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS),Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS),Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS),Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS),Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS),Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS),AMD Titanite_4G (RTI1007B BIOS),AMD Titanite_4G (RTI1007B BIOS),AMD Titanite_4G (RTI1007B BIOS),AMD Titanite_4G (RTI1007B BIOS),AMD Titanite_4G (RTI1007B BIOS),AMD Titanite_4G (RTI1007B BIOS),AMD Cinnabar (RCB1009C BIOS),AMD Cinnabar (RCB1009C BIOS),Quanta Cloud QuantaGrid D55Q-2U S7Q-MB-MPS-MDP (2A05.QCT001 BIOS),Quanta Cloud QuantaGrid D55Q-2U S7Q-MB-MPS-MDP (2A05.QCT001 BIOS),Quanta Cloud QuantaGrid D55Q-2U S7Q-MB-MPS-MDP (2A05.QCT001 BIOS),Quanta Cloud QuantaGrid D55Q-2U S7Q-MB-MPS-MDP (2A05.QCT001 BIOS) Chipset,,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce,Intel Ice Lake IEH,Intel Ice Lake IEH,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,Intel Ice Lake IEH,Intel Ice Lake IEH,Intel Ice Lake IEH,Intel Ice Lake IEH Memory,,512GB,1008GB,512GB,1008GB,576GB,1136GB,576GB,1136GB,512GB,256GB,1520GB,12 x 64GB DDR5-4800MT/s Samsung M321R8GA0BB0-CQKEG,12 x 64GB DDR5-4800MT/s Samsung M321R8GA0BB0-CQKEG,1520GB,12 x 64GB DDR5-4800MT/s Samsung M321R8GA0BB0-CQKEG,1520GB,6 x 32GB DDR5-4800MT/s Samsung M321R4GA0BB0-CQKMG,6 x 32GB DDR5-4800MT/s Samsung M321R4GA0BB0-CQKMG,512GB,256GB,256GB,512GB Disk,,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92 + 2000GB Corsair MP700 PRO,2 x 1920GB KIOXIA KCD8XPUG1T92,3201GB Micron_7450_MTFDKCB3T2TFS + 2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92 + 3201GB Micron_7450_MTFDKCB3T2TFS,3201GB Micron_7450_MTFDKCB3T2TFS + 2 x 1920GB KIOXIA KCD8XPUG1T92,3201GB Micron_7450_MTFDKCB3T2TFS + 2 x 1920GB KIOXIA KCD8XPUG1T92 Graphics,,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED Network,,,2 x Intel X710 for 10GBASE-T,,2 x Intel X710 for 10GBASE-T,,2 x Intel X710 for 10GBASE-T,,2 x Intel X710 for 10GBASE-T,2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP,2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,2 x Broadcom NetXtreme BCM5720 PCIe,2 x Broadcom NetXtreme BCM5720 PCIe,2 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMA,2 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMA,2 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMA,2 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMA Monitor,,,,,,,,,,VE228,VE228,,,,,,,,,,,, OS,,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04 Kernel,,6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64) Compiler,,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0 File-System,,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4 Screen Resolution,,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1080,1920x1080,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200 ,,"Xeon Platinum 8490H","Xeon Platinum 8490H 2P","Xeon Platinum 8592+","Xeon Platinum 8592+ 2P","Xeon Max 9468","Xeon Max 9468 2P","Xeon Max 9480","Xeon Max 9480 2P","Xeon Platinum 8380 2P","Xeon Platinum 8380","EPYC 9684X 2P","EPYC 9684X","EPYC 9654","EPYC 9654 2P","EPYC 9754","EPYC 9754 2P","EPYC 8534P","EPYC 8534PN","Xeon 6766E 2P","Xeon 6766E","Xeon 6780E","Xeon 6780E 2P" "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,3606.12,7862.58,5725.03,10934.17,3802.61,7127.28,4093.73,7689.32,2030.97,1100.18,9752.89,5608.07,5024.32,9203.19,5594.81,10182.16,2830.12,2506.10,2743.39,1414.86,1525.26,2957.69 "OpenSSL - Algorithm: SHA512 (byte/s)",HIB,22219927723,42846254477,23886054770,46520760707,16199261277,32304222993,18893980783,37564522053,22079539900,10980940093,91455971200,45865131913,39627575497,78822257383,52746634113,104776633047,24378460820,22194470973,78599395230,40605137923,45088755640,89194416857 "OpenSSL - Algorithm: RSA4096 (sign/s)",HIB,27431.1,54601.1,31594.4,61499.6,22861.0,45531.0,25441.5,48534.8,36371.6,18389.3,98237.0,48996.8,35964.9,71942.0,53966.9,107830.6,25894.6,21047.5,22587.4,11348.5,12610.8,25098.0 "Llamafile - Test: llava-v1.5-7b-q4 - Acceleration: CPU (Tokens/sec)",HIB,20.95,10.44,16.61,7.49,7.67,7.77,8.13,7.26,12.29,19.11,14.29,25.38,25.75,14.47,20.64,10.94,21.00,20.65,2.83,8.56,9.60,2.99 "TensorFlow - Device: CPU - Batch Size: 1 - Model: GoogLeNet (images/sec)",HIB,33.56,13.50,21.67,12.69,36.13,18.24,31.47,14.67,29.18,53.38,12.83,34.20,32.80,12.42,21.00,8.10,36.66,36.48,5.88,12.40,13.14,6.72 "Pennant - Test: sedovbig (Hydro Cycle Time - sec)",LIB,16.03080,11.28438,16.96910,9.964526,21.02112,13.21125,19.88246,12.10690,15.24719,25.78945,3.081108,5.460660,5.916458,3.408337,5.147658,2.940456,11.36964,12.15132,,,, "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Execution Time (sec)",LIB,420.6467,196.49644,302.0641,137.03802,440.83113,201.10956,410.29005,186.32539,362.5935,798.34986,93.568115,178.25382,325.42331,124.29946,449.46597,137.11385,691.64224,690.73503,,,, "QuantLib - Configuration: Multi-Threaded (MFLOPS)",HIB,179647.5,350187.5,195648.8,380867.5,143755.3,288129.1,162727.4,316359.2,182366.9,91036.5,644091.0,319827.2,294183.2,593246.9,374413.5,759922.1,172566.8,153920.8,456271.0,233836.3,262432.6,519392.2 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,36.20,25.12,21.87,22.96,23.12,24.00,24.94,25.72,60.90,62.64,33.18,32.00,34.92,36.90,38.85,39.86,41.38,45.71,180.29,172.72,153.76,157.28 "John The Ripper - Test: WPA PSK (Real C/S)",HIB,401278,793253,428116,797093,286552,562875,334076,657889,491583,248066,1294000,671322,643475,1253333,803187,1551000,386212,339998,367657,188925,209803,407256 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,477.77,793.64,592.20,1128.78,415.96,795.63,467.08,889.18,281.36,156.13,1110.49,576.98,525.88,990.16,621.42,1127.05,317.38,293.07,243.76,138.53,149.63,264.66 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (Billion Interactions/s)",HIB,86.967,140.828,108.124,191.818,70.213,127.845,78.105,133.990,97.075,49.203,309.219,187.684,171.771,291.278,232.749,288.537,107.715,97.978,78.235,39.348,43.728,86.884 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (GFInst/s)",HIB,2174.192,3520.705,2703.088,4795.462,1755.333,3196.123,1952.606,3349.756,2426.881,1230.080,7730.471,4692.106,4294.283,7281.958,5818.736,7213.433,2692.873,2449.454,1955.881,983.707,1093.206,2172.103 "ASTC Encoder - Preset: Thorough (MT/s)",HIB,51.2971,86.9845,54.4547,97.9383,37.0051,72.3297,42.9834,83.3395,30.0309,15.5038,116.1226,73.3796,65.3025,105.4052,86.0139,121.3017,41.0225,37.9597,71.0247,40.6924,45.2100,79.2852 "RELION - Test: Basic - Device: CPU (sec)",LIB,373.182,203.407,290.448,155.741,412.371,214.416,384.384,201.382,368.219,705.584,93.168,176.422,238.881,145.647,360.207,201.265,468.688,496.241,,,, "OpenSSL - Algorithm: ChaCha20-Poly1305 (byte/s)",HIB,225038850730,442202532977,223625738013,444099144270,161321058213,320396720447,187796174440,372735215297,293502122413,146156212950,767652719547,383925652077,350960998357,698925822223,457039748870,906028608990,211185661727,193305093643,240005135153,120591787257,134033039090,266583857887 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,68.61,35.91,63.61,33.61,86.67,44.71,76.87,40.38,62.54,124.63,18.67,35.66,40.26,21.12,31.65,16.82,67.67,75.26,27.41,52.47,48.07,24.61 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,100.39,45.78,39.62,43.41,41.93,42.16,59.69,64.91,113.70,236.81,43.77,110.91,157.45,63.98,230.24,85.86,161.48,156.59,293.02,283.83,266.91,274.52 "OpenSSL - Algorithm: ChaCha20 (byte/s)",HIB,316126421173,624402972947,344150916937,684284382760,226597354153,449908494927,263740690067,522912403347,425451190063,212294883830,1086618191950,544904084773,503311021123,1001502634860,656396329387,1306928507573,307068938377,282053327077,352826821653,177249062183,196920683270,391911225480 "John The Ripper - Test: Blowfish (Real C/S)",HIB,94513,183583,105831,205499,67893,134562,79152,156658,113223,56939,374589,192574,166541,316492,220188,415412,102198,93473,363300,190209,211449,404739 "John The Ripper - Test: bcrypt (Real C/S)",HIB,94551,183603,105781,206778,67875,133866,79144,155959,113219,56939,376268,192898,166541,320527,220188,412723,102222,93472,363133,190058,211311,402275 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,287862,557054,338146,573410,207738,401707,243347,469131,366534,188345,1116465,716065,642626,1033277,780871,1340226,367989,338355,767313,421063,463768,846335 "Primesieve - Length: 1e13 (sec)",LIB,51.820,27.107,48.406,25.021,67.324,33.921,58.159,30.196,40.444,81.355,12.130,23.265,24.237,12.631,21.762,11.557,45.953,54.389,29.385,57.713,52.074,26.462 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,261.97,141.54,236.73,125.87,320.11,169.44,290.56,156.70,235.31,456.81,67.52,123.90,139.25,79.05,114.76,65.58,240.13,263.76,106.48,191.20,174.49,97.18 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,87.92,46.38,80.29,41.85,106.96,55.26,97.80,51.29,76.10,150.39,23.84,44.87,48.88,26.35,39.83,21.66,85.12,94.41,35.11,65.67,60.11,31.28 "Coremark - CoreMark Size 666 - Iterations Per Second (Iterations/Sec)",HIB,2194630.600449,3902076.243612,2369998.356940,4966250.777983,1614763.703237,2993136.601832,1855135.326098,3279262.530349,1839444.396311,1218453.342873,8448083.729980,4152864.875380,3926265.277120,7975907.450649,4525288.003014,8171241.708512,2274636.131544,2069432.528093,6575205.538646,2915609.747368,3340274.034309,7302247.138206 "OpenRadioss - Model: Chrysler Neon 1M (sec)",LIB,207.20,115.89,157.56,86.93,228.74,125.15,212.99,117.91,185.03,343.16,49.55,77.32,176.14,77.64,231.96,93.99,297.25,300.69,,,, "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,9004.23,20937.58,12317.94,24676.86,9087.12,17252.27,9686.39,18561.91,13467.28,5913.04,35809.59,17230.35,16038.90,31974.88,19917.54,38546.66,9256.11,8279.63,14551.12,7721.00,8536.39,16394.06 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,31380,14138,23125,12124,37055,16645,33790,15357,30442,54456,8916,16603,18896,10428,15286,8413,38811,42513,38228,52083,46875,35081 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,25.89,13.74,23.72,12.76,31.66,16.55,28.49,15.29,23.67,46.32,7.75,14.29,15.96,8.61,12.86,7.17,27.12,30.07,10.56,19.85,17.61,9.71 "OpenVINO - Model: Person Re-Identification Retail FP16 - Device: CPU (ms)",LIB,9.79,7.72,6.72,6.95,7.13,7.32,7.76,7.97,24.39,23.25,3.78,6.93,7.23,3.98,8.03,4.37,8.59,9.46,18.75,17.81,16.36,16.73 "Xcompact3d Incompact3d - Input: input.i3d 193 Cells Per Direction (sec)",LIB,12.9293413,6.39169817,10.1967066,5.39125967,13.9692376,7.29349117,12.7997582,6.66387510,11.2498016,23.9708284,3.75319901,6.88121279,8.25383511,4.26078596,8.87225914,4.51061893,20.9379139,21.1780307,,,, "OpenSSL - Algorithm: RSA4096 (verify/s)",HIB,974189.9,1916162.9,1036735.6,2057021.6,697707.2,1395446.4,813667.6,1627941.4,1099481.5,587354.8,3214376.3,1613828.7,1436324.9,2861959.8,1872096.1,3729470.8,881480.8,810291.8,1479879.0,743282.7,826049.5,1644363.7 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,36649,16837,31993,14358,42837,19701,39238,18111,34866,63035,10514,19535,22305,12427,18129,10015,45377,48844,43906,57657,52501,39283 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,1068.43,1843.61,1159.66,2237.69,860.64,1691.79,894.87,1801.89,1186.24,642.44,4013.96,2212.41,1743.49,3353.73,1671.23,4032.66,998.09,918.53,1731.50,924.90,1018.18,1933.08 "ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,23.543705,45.965955,29.141078,58.253340,19.768930,39.345732,22.539990,44.668302,24.974104,13.494557,78.496158,45.245794,39.086262,68.868505,44.970826,84.688594,21.817577,20.997732,31.478557,15.941604,17.853682,35.196692 "Helsing - Digit Range: 14 digit (sec)",LIB,93.348,50.831,89.070,48.091,123.832,65.026,107.237,58.248,82.959,165.785,30.694,56.912,62.173,33.675,48.849,26.776,105.676,120.560,58.957,115.462,103.863,53.015 "Algebraic Multi-Grid Benchmark - (Figure Of Merit)",HIB,1605097000,3124402667,1814760000,3609646333,1588496667,3156261667,1597993333,3205161000,723153533,1073627667,4467281333,2376149000,2282802000,4324930333,2275352667,2783039083,1150052667,1147108000,,,, "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,58026,33411,50798,24249,68973,38926,62540,36179,55247,103461,17855,38645,43290,20750,37383,16960,72051,78093,62449,88579,81003,56082 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,34.83,19.13,31.91,17.29,42.78,23.17,38.48,21.45,30.75,59.15,10.16,18.36,20.15,11.25,16.58,9.71,34.35,38.04,16.52,29.55,26.52,15.16 "m-queens - Time To Solve (sec)",LIB,15.211,7.881,14.257,7.402,21.030,10.840,18.102,9.285,12.390,24.175,4.133,6.950,7.738,4.609,6.350,3.981,13.250,14.493,6.045,11.479,10.301,5.512 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,68006,38813,59522,33391,80742,45211,73366,41971,64188,121734,20893,44349,50019,27943,42945,20071,84261,91643,71583,101444,92175,66487 "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (Billion Interactions/s)",HIB,82.848,133.628,106.395,199.734,63.620,108.397,70.843,114.902,85.289,47.260,236.610,151.948,136.945,217.846,229.913,214.617,107.353,98.207,76.602,39.171,43.553,84.347 "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (GFInst/s)",HIB,2071.189,3340.694,2659.883,4993.343,1590.501,2709.930,1771.065,2872.562,2132.235,1181.494,5915.253,3798.695,3423.634,5446.161,5747.823,5365.421,2683.831,2455.163,1915.041,979.279,1088.833,2108.675 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,3325.90,5483.81,4656.92,8719.37,2935.47,5576.86,2877.32,5525.56,4390.81,2120.33,11735.42,6017.19,5528.15,10708.91,5778.51,12750.59,2943.08,2763.48,4376.09,2366.83,2553.55,4992.78 "NAS Parallel Benchmarks - Test / Class: LU.C (Mop/s)",HIB,135125.15,261127.09,232012.77,455312.09,126171.52,246822.52,131606.86,257384.55,185954.54,98557.16,551955.55,362511.43,269047.28,472931.04,279397.45,588329.32,133284.46,130839.12,,,, "OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,21.8932,38.2269,30.6799,53.9348,16.0869,29.3496,18.4851,33.1275,17.6222,9.70022,55.2576,32.5232,28.0689,47.5267,35.1464,56.4485,17.9448,16.4505,32.7979,19.4251,21.5147,36.2464 "OpenSSL - Algorithm: AES-128-GCM (byte/s)",HIB,768804693697,1533026300727,889567506540,1769313146013,641200848170,1277583382757,747710702660,1484669627050,807229265300,399526815427,1990352059967,996007109267,897288436123,1785006879067,1167221141870,2316611945283,539784931373,488965390857,1096082199713,565720767783,638453203763,1266882866653 "OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,21.9324,38.2235,30.8404,54.1195,16.0502,29.5018,18.5533,33.1125,17.8269,9.77764,55.3382,32.5188,28.0956,47.6143,35.2461,56.6936,17.9668,16.4504,32.9663,19.5159,21.6222,36.5043 "Llamafile - Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPU (Tokens/sec)",HIB,5.85,3.82,4.08,3.05,1.47,1.77,1.54,1.54,3.10,4.41,5.24,8.48,8.35,5.24,7.47,4.63,5.16,5.11,2.56,5.39,5.58,2.67 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,1657,894,1441,759,1988,1049,1792,961,1553,3052,561,1037,1180,661,954,531,2043,2240,1497,2318,2090,1342 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,1977,1063,1709,898,2357,1237,2123,1143,1833,3616,660,1225,1391,780,1130,630,2421,2649,1832,2731,2472,1631 "OpenSSL - Algorithm: AES-256-GCM (byte/s)",HIB,700239352717,1369534328470,744387683670,1497529939377,507456728087,1011898993323,592014115453,1181148957353,712485411447,356062040883,1714061761087,859720599963,767696553667,1526505465813,997539007873,1983103026700,462309750530,415893963207,979419388797,506301374623,568937578313,1125373041173 "Primesieve - Length: 1e12 (sec)",LIB,4.576,2.325,4.250,2.187,6.160,3.121,5.332,2.691,3.366,6.673,1.199,1.984,2.058,1.242,1.921,1.359,3.801,4.545,2.605,4.806,4.324,2.337 "Blender - Blend File: Junkshop - Compute: CPU-Only (sec)",LIB,35.96,21.15,32.08,18.31,42.85,24.99,39.17,23.45,33.20,61.22,11.47,18.65,21.02,12.87,17.70,11.21,35.82,38.86,18.70,29.06,26.49,16.89 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,55.99,65.02,55.07,57.13,55.74,56.71,62.53,62.11,16.84,31.05,11.95,21.63,27.46,14.30,38.21,15.84,31.99,34.76,41.50,38.87,35.30,37.17 "NAS Parallel Benchmarks - Test / Class: IS.D (Mop/s)",HIB,2865.72,3960.28,4059.70,7437.81,3050.16,3816.70,3076.66,3819.83,3345.45,2266.32,12296.27,6346.15,5229.41,10139.69,5702.13,9771.41,2746.20,2718.94,,,, "OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,24.6445,42.8188,27.1010,48.7576,19.9102,35.9324,22.3625,39.3389,22.5081,11.8638,60.3748,34.6447,30.6073,52.6741,37.7381,63.8459,18.4705,16.9200,21.2227,12.1737,13.4018,23.1163 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,17.84,21.73,13.73,14.67,16.33,17.19,19.44,20.24,4.54,9.26,4.08,7.85,8.58,4.46,10.97,5,10.78,11.48,16.28,15.11,14.01,14.30 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,16.50,15.04,11.17,11.69,12.54,13.34,13.59,14.42,9.82,18.08,4.91,8.48,9.47,5.20,11.35,6.27,11.22,12.67,26.12,25.33,23.49,24.24 "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec)",HIB,51.46,35.53,77.52,45.69,50.99,46.49,48.59,35.46,42.64,61.32,19.84,41.17,40.45,19.34,31.62,14.90,41.11,40.97,16.45,32.45,35.85,17.91 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency (ms)",LIB,0.572,1.293,0.589,1.149,0.559,1.027,0.622,1.098,0.525,0.581,0.289,0.251,0.278,0.293,0.292,0.329,0.384,0.414,0.815,0.572,0.542,0.775 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Only (TPS)",HIB,1748146,778141,1699046,881881,1792636,976035,1607424,920725,1930006,1720762,3480909,3989358,3603261,3422731,3422492,3044620,2606500,2416375,1229649,1748658,1846080,1292122 "Speedb - Test: Read While Writing (Op/s)",HIB,10695360,17297027,12168413,17585737,8795408,13859254,9988176,15354400,11795318,7147120,33307574,19595777,18024993,30324596,22829426,36593204,12053901,11882103,27630781,17548934,17945745,27657776 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,326.143,246.335,462.855,354.754,337.004,246.680,346.213,252.671,249.484,282.252,276.207,446.303,374.745,271.620,319.452,250.634,255.671,254.727,92.5083,237.803,246.037,94.4247 "Liquid-DSP - Threads: 256 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,3500833333,5361266667,3806833333,6284300000,2848933333,4825133333,3222533333,5036000000,3037100000,1610466667,8012700000,5811900000,5266466667,7411866667,6401366667,6316266667,3116933333,2793700000,6800900000,4259433333,4714700000,7597566667 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,70.0540,124.7084,82.9663,153.1622,58.4230,107.6299,65.3318,116.6053,82.9195,43.6733,214.0178,130.7874,110.5253,176.2061,126.1456,190.0839,62.1866,58.2776,121.4320,73.9558,81.8340,133.4150 "Memcached - Set To Get Ratio: 1:100 (Ops/sec)",HIB,4481667.95,3245908.40,4752673.79,3780240.56,4384040.52,3373323.92,4315467.17,3392842.38,4814941.53,4826284.80,8683410.79,8634258.39,8220895.45,8498306.78,7736018.74,7645325.70,6198256.72,5820618.18,1783869.96,2299150.51,2339570.28,1821144.00 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.43,0.29,0.49,0.46,0.33,0.28,0.37,0.30,0.45,0.56,0.35,0.45,0.48,0.35,0.73,0.41,0.53,0.6,1.20,1.36,1.25,1.09 "PyTorch - Device: CPU - Batch Size: 256 - Model: ResNet-50 (batches/sec)",HIB,54.84,37.44,63.60,41.45,52.97,41.68,51.56,37.91,36.97,48.89,16.97,34.90,34.90,17.41,27.78,13.11,33.68,33.30,14.67,26.82,30.86,16.22 "GraphicsMagick - Operation: Sharpen (Iterations/min)",HIB,157,265,167,284,114,199,130,227,144,79,297,201,173,262,207,310,112,105,336,253,281,381 "srsRAN Project - Test: PUSCH Processor Benchmark, Throughput Total (Mbps)",HIB,2616.9,4853.6,3088.7,5493.4,2170.7,3787.0,2514.0,4386.6,3288.4,1770.0,6999.7,5656.9,5239.6,6835.7,5973.8,8396.7,3193.0,2818.5,3067.0,1953.1,2118.6,3414.2 "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,8.762,15.450,10.477,18.540,7.545,13.392,8.282,14.127,8.964,4.813,22.525,15.222,12.514,20.234,13.242,21.305,6.499,6.246,,,, "OpenVKL - Benchmark: vklBenchmarkCPU ISPC (Items / Sec)",HIB,1734,2716,2004,3222,1243,1776,1356,1852,1527,869,3906,2396,2077,3335,2508,4012,1266,1177,2020,1267,1391,2228 "PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-50 (batches/sec)",HIB,56.01,37.08,63.06,40.77,51.55,42.35,51.35,38.30,37.75,48.99,17.28,34.71,35.01,17.07,27.68,13.68,33.49,33.23,14.84,26.89,30.69,16.10 "PyTorch - Device: CPU - Batch Size: 512 - Model: ResNet-50 (batches/sec)",HIB,56.44,37.55,63.30,40.83,51.05,41.65,51.86,37.84,37.45,48.99,16.82,34.69,34.65,16.24,27.53,13.76,33.76,33.18,14.81,26.91,30.87,15.97 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,18.1413,12.7546,20.8795,14.1980,16.1742,13.0869,16.3898,12.5974,14.2169,17.6747,6.31828,9.80008,9.78516,6.34891,8.63594,5.55767,8.75814,8.47283,4.58960,7.13587,7.69583,4.56278 "NAS Parallel Benchmarks - Test / Class: CG.C (Mop/s)",HIB,33811.63,58128.24,63760.45,98764.93,35116.55,65396.22,35234.06,66492.44,38906.13,22655.32,88487.91,62071.10,53182.77,84477.72,43799.78,63265.01,22229.94,21684.80,,,, "ASKAP - Test: tConvolve MT - Gridding (Million Grid Points/sec)",HIB,8088.11,7630.06,5062.07,6038.92,3375.32,3347.93,3406.96,4382.97,5279.07,5172.96,14185.1,14955.6,12394.6,12708.5,12731.8,11208.7,5826.44,5821.46,,,, "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,79.3805,132.2806,97.1861,173.2208,64.9597,104.8425,71.8253,112.7231,84.8010,47.6437,210.4367,133.4769,113.2783,175.5971,133.9297,200.1612,64.3253,63.3433,125.1146,76.5292,83.7321,136.2218 "Liquid-DSP - Threads: 256 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,1020833333,1616966667,1178766667,2027000000,838530000,1444066667,944550000,1518933333,1061033333,542606667,2394333333,1570400000,1362166667,2129533333,1744700000,1734800000,821013333,741740000,1306733333,848376667,940270000,1437100000 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,227.423,212.924,259.186,251.305,217.880,205.885,213.985,199.896,192.810,197.852,119.5585,122.948,122.683,95.8372,106.130,98.6374,106.526,102.966,59.4983,59.2989,66.1971,66.1772 "Liquid-DSP - Threads: 256 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,3243800000,6116566667,3167200000,6077300000,2381800000,4670966667,2769066667,5367033333,3572233333,1823566667,7935266667,5862466667,5271933333,7513333333,6588200000,6439000000,3062200000,2789600000,6821533333,4301166667,4799133333,7546366667 "ASTC Encoder - Preset: Medium (MT/s)",HIB,333.9902,484.5499,327.7829,550.0168,247.2979,441.6518,284.3336,483.1049,216.9678,126.4407,508.0926,500.7673,449.1141,491.5344,527.7997,462.2382,294.6209,273.6703,338.1468,284.4616,314.6232,363.3844 "WRF - Input: conus 2.5km (sec)",LIB,11980.806,6674.12,10602.408,5601.101,13273.694,7157.961,12410.29,6840.057,14030.513,18998.816,4431.344,7885.16,10176.864,6918.021,11895.407,7365.863,16146.997,16609.781,,,, "NAS Parallel Benchmarks - Test / Class: MG.C (Mop/s)",HIB,83448.70,163333.21,107321.89,220893.78,85910.95,172614.10,86407.46,171436.47,110742.15,57317.66,244738.81,134994.14,116725.04,194942.32,125567.07,245447.72,63930.64,62449.55,,,, "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,191.562,144.640,248.682,195.453,191.111,135.976,188.930,136.689,153.538,180.225,110.168,161.497,156.610,109.464,137.193,99.2182,128.982,129.646,58.5767,131.536,140.026,60.3883 "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-152 (batches/sec)",HIB,19.41,15.77,27.21,17.57,19.99,17.91,18.07,14.86,16.68,22.27,8.35,15.86,15.57,8.27,13.05,6.64,15.25,15.11,6.47,13.39,14.53,7.10 "LULESH - (z/s)",HIB,23072.302,43724.062,38433.973,70826.734,23848.540,52102.668,25831.838,53269.469,21389.823,17348.429,54678.485,27287.261,26082.711,48760.815,24218.831,46126.080,16949.591,16855.891,42946.258,26024.602,26864.110,44136.525 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,91.9925,152.7472,112.6611,199.6089,75.4690,125.7494,83.4921,129.7482,99.2430,55.4208,231.4272,155.1208,132.4918,185.7110,156.3909,208.3131,75.2149,73.9073,138.8499,84.7057,92.8784,151.2481 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,315.410,177.763,314.057,171.231,330.104,174.677,296.799,161.886,222.522,335.152,141.830,243.340,225.308,133.485,160.904,117.617,219.058,211.187,80.4199,130.062,143.355,87.0867 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Slow (FPS)",HIB,20.23,31.24,24.23,40.92,17.52,26.00,18.24,28.96,19.71,15.09,62.82,40.00,38.90,61.07,38.47,54.88,23.71,22.46,29.15,18.86,20.87,31.85 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,20.97,32.04,24.80,41.58,18.13,26.69,18.84,29.62,20.33,15.51,63.48,40.50,39.58,61.11,39.08,54.57,24.31,23.02,29.15,19.34,21.39,31.70 "PyTorch - Device: CPU - Batch Size: 256 - Model: ResNet-152 (batches/sec)",HIB,20.25,14.08,23.33,16.00,19.20,16.30,19.58,14.92,14.88,17.70,7.02,14.08,13.95,7.14,11.01,5.71,13.26,13.18,6.11,11.88,13.64,6.61 "PyTorch - Device: CPU - Batch Size: 512 - Model: ResNet-152 (batches/sec)",HIB,20.46,14.59,23.41,16.17,19.47,16.68,19.29,14.74,14.76,17.55,7.07,13.95,14.05,7.20,10.91,5.75,13.28,13.28,6.33,11.74,13.61,6.65 "PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-152 (batches/sec)",HIB,20.13,14.03,23.49,16.25,19.01,15.84,19.24,14.96,15.11,17.73,7.08,13.89,13.84,7.04,10.88,5.79,13.19,13.15,6.15,11.95,13.00,6.59 "oneDNN - Harness: Deconvolution Batch shapes_3d - Engine: CPU (ms)",LIB,1.07743,0.736170,0.907161,0.624250,1.26407,0.945075,1.19643,0.864358,0.867065,1.42213,1.001914,1.11923,1.15487,1.009473,0.943621,0.829653,1.49835,1.79749,2.49734,2.29712,2.04910,2.24526 "OpenVINO - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (ms)",LIB,13.95,15.96,9.40,13.15,11.37,17.15,12.72,18.72,26.33,25.91,22.20,13.52,16.32,23.12,22.67,28.10,17.30,18.49,340.26,82.12,75.22,293.36 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Slow (FPS)",HIB,15.71,24.71,16.06,27.11,13.36,19.75,13.89,22.14,13.79,10.93,43.39,29.18,28.01,40.96,29.00,37.13,17.04,15.77,20.46,13.77,15.24,21.63 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,205.525,188.890,234.540,214.812,195.705,173.909,190.063,169.850,178.615,176.292,87.2579,108.868,109.998,86.9230,94.7365,78.0676,97.0508,96.1679,60.2880,69.0683,75.8650,65.4320 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,3.03922,2.83498,3.30836,3.05085,2.62544,2.17463,2.61721,2.10480,2.89253,2.75242,0.857685,1.25179,1.25135,0.917043,3.13156,2.51709,2.57278,2.25453,1.64674,1.77809,1.94144,1.70365 "Aircrack-ng - (k/s)",HIB,147469.328,53914.933,153584.203,64181.293,117588.992,83665.758,134048.964,65663.823,159709.747,101665.469,,206619.292,186675.432,,177989.891,,153818.031,141831.776,,114715.789,116716.401, "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,6.43,5.72,5.19,5.18,5.27,5.55,5.77,6.02,5.93,6.56,5.34,5.41,5.85,5.98,6.25,6.6,6.77,7.60,19.23,18.20,16.41,16.98 "Timed Node.js Compilation - Time To Compile (sec)",LIB,254.003,172.990,214.431,145.413,270.380,175.625,252.648,171.174,303.421,423.626,114.912,147.837,164.021,118.902,186.103,147.735,277.525,288.118,187.654,246.848,228.571,173.087 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Standard (Inferences/sec)",HIB,357.355,288.471,460.775,356.764,219.532,199.079,215.127,185.46,292.517,298.673,263.524,279.641,187.012,167.107,131.004,127.537,127.085,127.208,178.1131,207.942,217.445,210.365 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,17.85,27.65,16.64,30.37,15.17,22.25,15.68,24.65,16.19,12.56,45.26,32.74,31.44,42.03,32.44,38.12,19.25,17.80,22.03,15.65,17.29,22.59 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,19.8593,15.5555,22.9689,16.9672,18.2179,14.4831,16.9166,14.4583,16.4123,20.2495,7.24869,9.73685,9.86018,6.41229,8.29533,6.74977,8.87446,8.75233,7.49940,12.7015,13.8295,8.14615 "Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,362.454,218.570,316.902,189.739,428.387,246.936,384.063,231.033,356.987,612.782,181.995,290.341,311.825,197.630,337.685,210.197,406.414,438.168,192.098,274.855,251.195,174.272 "TensorFlow - Device: CPU - Batch Size: 1 - Model: AlexNet (images/sec)",HIB,56.53,37.57,35.50,30.76,48.28,37.76,43.67,33.21,37.26,42.05,19.92,26.23,32.56,19.88,35.08,18.59,34.51,34.35,16.24,29.56,31.99,18.34 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,356.38,283.11,224.64,234.24,236.52,256.63,257.50,278.52,207.84,415.89,233.63,471.98,510.10,253.63,551.07,275.53,592.22,654.83,719.83,692.79,618.97,630.23 "Xcompact3d Incompact3d - Input: X3D-benchmarking input.i3d (sec)",LIB,357.009712,196.808116,323.245697,171.375778,407.589406,189.686116,351.644165,187.224004,292.030314,558.384868,167.128164,309.847653,466.548014,248.867315,534.059428,253.318553,567.286947,568.254049,,,, "High Performance Conjugate Gradient - X Y Z: 144 144 144 - RT: 60 (GFLOP/s)",HIB,31.0738,60.8515,35.1361,69.2976,25.2423,54.4054,30.5872,62.6357,30.1110,20.4129,44.9502,27.5824,28.3185,42.5158,23.6266,41.8727,22.1972,22.1341,,,, "Timed LLVM Compilation - Build System: Ninja (sec)",LIB,187.017,122.314,165.048,106.815,212.482,134.419,197.844,128.066,194.382,298.409,89.275,124.455,135.666,94.810,146.761,101.561,205.014,215.925,138.566,184.202,169.447,125.274 "GraphicsMagick - Operation: Enhanced (Iterations/min)",HIB,216,342,228,374,160,269,181,301,215,123,408,300,264,368,304,403,172,163,350,270,299,389 "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Execution Time (sec)",LIB,42.219419,28.556037,33.065393,23.558932,45.947435,28.993119,41.746192,27.577291,40.286404,74.956584,22.707989,28.325594,32.591783,25.005632,33.814223,24.570122,58.169235,59.266377,,,, "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,852.326,696.980,908.187,754.805,728.469,604.755,705.606,581.769,701.724,849.559,446.805,672.916,604.045,444.847,382.103,316.113,443.058,446.689,276.235,445.623,482.209,292.791 "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,388190,592729,441636,674239,314716,491729,342363,525514,391719,243732,741366,579112,549500,761734,575440,776968,331357,319094,591835,413851,438048,611200 "Parallel BZIP2 Compression - FreeBSD-13.0-RELEASE-amd64-memstick.img Compression (sec)",LIB,2.144857,1.469210,1.847537,1.432362,2.632077,1.982932,2.287766,1.711296,2.181455,3.393189,1.109446,1.369063,1.422954,1.126329,1.355737,1.068398,2.200497,2.321195,1.857642,2.504621,2.279971,1.718022 "GPAW - Input: Carbon Nanotube (sec)",LIB,47.776,41.563,43.048,38.049,54.376,42.873,48.487,43.911,48.453,76.175,24.134,30.001,34.866,25.844,33.120,27.145,63.796,66.705,,,, "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,222.029,180.032,270.329,236.648,176.333,141.954,168.859,132.712,194.149,207.934,161.947,162.092,126.816,102.572,89.7350,86.6864,89.2081,88.5688,136.391,139.454,148.107,103.8947 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,115106.30,189893.31,81279.79,128566.81,135075.07,174862.56,140144.01,176900.32,151627.42,61956.93,178488.03,138605.52,133779.62,172688.50,132973.43,166151.42,87511.11,78334.92,75761.50,84584.13,91273.02,76895.29 "Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,3181266667,3723666667,3503200000,4450525000,2670033333,3596400000,2972400000,3896500000,2689033333,1554666667,4759366667,4755333333,4256300000,4280933333,4714500000,4626566667,2982800000,2687066667,3712133333,3736300000,4136766667,4068666667 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,2.71,4.48,3.32,5.09,2.27,3.49,2.39,3.66,3.10,1.81,3.47,2.66,2.73,3.49,3.16,3.57,1.80,1.69,2.97,1.93,2.11,3.31 "TensorFlow - Device: CPU - Batch Size: 512 - Model: AlexNet (images/sec)",HIB,1278.45,1899.64,1486.12,2039.63,1047.96,1604.11,1108.95,1677.62,1470.46,883.00,1897.64,1392.91,1363.33,1862.79,1620.53,1876.66,875.23,796.82,979.89,677.40,732.79,1064.18 "Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,1.29,2.18,1.58,2.40,1.08,1.72,1.14,1.74,1.48,0.86,1.64,1.28,1.31,1.67,1.50,1.71,0.86,0.80,1.51,0.98,1.07,1.68 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,16882333,16843333,18774333,18200533,16906333,16904667,16885333,16884000,13599000,13608333,13083133,13387333,13394667,13390667,11174500,11273667,11290000,11236333,6280767,6284300,6983933,6969967 "Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,2.71,4.41,3.31,5.03,2.26,3.51,2.38,3.65,3.08,1.81,3.45,2.64,2.73,3.48,3.12,3.59,1.79,1.69,2.98,1.93,2.11,3.31 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,16.0956,14.5280,19.6773,15.4341,16.3251,13.7366,15.7394,13.5190,14.9460,16.6863,8.75971,12.2807,12.2549,8.80930,9.65296,7.98402,9.8009,8.87144,6.66718,8.57286,9.50353,7.13917 "LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day)",HIB,34.892,50.521,37.460,56.400,28.278,46.705,32.157,51.816,35.701,21.379,62.000,46.891,42.507,57.099,47.986,58.839,27.532,25.334,,,, "LuxCoreRender - Scene: LuxCore Benchmark - Acceleration: CPU (M samples/sec)",HIB,7.10,8.82,8.06,8.88,6.30,6.81,6.82,7.41,6.43,4.29,10.61,12.43,11.34,10.56,12.41,9.65,7.38,6.93,6.41,7.90,8.47,6.74 "TensorFlow - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec)",HIB,1205.30,1730.25,1277.46,1681.44,986.04,1479.53,1058.99,1528.41,1340.34,852.14,1560.56,1301.26,1278.58,1524.74,1454.71,1403.46,843.63,771.47,857.20,609.67,668.33,1010.93 "Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,918566667,1126466667,1152933333,1493833333,800186667,1091460000,882200000,1206066667,981090000,539226667,1394733333,1368733333,1158166667,1199966667,1369800000,1349800000,809916667,731756667,707053333,719626667,796340000,777940000 "CloverLeaf - Input: clover_bm64_short (sec)",LIB,39.48,26.58,39.38,31.90,41.43,32.25,42.22,32.44,35.29,60.89,22.83,42.17,46.50,30.05,48.36,27.74,57.38,57.54,28.99,38.01,38.01,28.92 "LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,28.716,42.281,34.301,55.496,27.629,47.512,30.843,52.244,33.544,21.162,53.771,39.998,36.151,50.121,40.386,51.629,24.246,21.935,,,, "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency (ms)",LIB,14.040,14.856,13.264,30.203,14.292,16.963,13.845,16.655,13.693,16.341,18.159,12.580,12.502,18.059,13.843,16.884,16.321,18.053,28.807,12.628,11.537,26.288 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Write (TPS)",HIB,71227,67315,75396,33110,69969,58952,72225,60046,73042,61233,55272,79492,79987,55505,72244,59228,61272,55395,34716,79191,86677,38043 "srsRAN Project - Test: PUSCH Processor Benchmark, Throughput Thread (Mbps)",HIB,129.7,129.7,129.5,129.5,129.7,129.7,129.7,129.7,112.3,112.3,112.2,112.2,112.2,112.2,112.1,112.1,112.1,112.1,49.8,49.8,52.5,52.6 "srsRAN Project - Test: PDSCH Processor Benchmark, Throughput Thread (Mbps)",HIB,680.2,675.5,742.9,755.5,702.6,651.9,705.5,663.8,490.3,484.8,664.7,680.7,684.7,673.4,596.2,576.8,557.9,563.6,293.1,299.4,333.2,323.7 "OpenRadioss - Model: INIVOL and Fluid Structure Interaction Drop Container (sec)",LIB,140.43,107.36,128.74,100.00,160.56,114.29,146.03,110.56,135.56,204.21,79.42,94.76,100.24,85.89,106.54,90.85,176.87,187.03,,,, "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,744410000,799496667,783770000,883701250,632396667,732560000,689003333,757176667,646513333,503253333,849340000,850586667,811373333,824583333,709650000,709393333,633860000,577263333,349746667,359576667,398566667,384406667 "NWChem - Input: C240 Buckyball (sec)",LIB,2070.3,1960.9,1878.3,1809.7,2530.5,1785,2245.2,1873.1,2170,3576.4,1429.9,1450.5,1575.5,1558.4,1700,1712.6,2024.7,2224.6,,,, "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,50.03,67.64,38.02,65.38,40.23,51.91,41.34,52.23,44.11,31.25,74.03,78.15,76.83,72.68,68.56,59.01,54.60,51.51,36.40,41.86,46.18,38.92 "GraphicsMagick - Operation: Swirl (Iterations/min)",HIB,502,617,529,689,394,509,432,558,403,278,583,546,511,553,535,567,379,363,474,504,566,517 "Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,3200600000,3558600000,3148233333,3520766667,2351900000,3254033333,2739633333,3337066667,3044700000,1797400000,4407900000,4353533333,4032733333,4063333333,3791566667,3794133333,3047066667,2767933333,3607900000,3671966667,4102200000,4021033333 "CloverLeaf - Input: clover_bm16 (sec)",LIB,328.47,214.80,410.59,378.05,351.29,263.33,357.57,269.20,295.30,512.36,223.54,245.82,334.30,266.10,400.52,349.67,495.25,498.22,226.60,314.88,313.50,236.81 "libavif avifenc - Encoder Speed: 0 (sec)",LIB,69.931,67.375,64.475,60.526,76.915,69.647,73.060,68.437,88.065,100.461,63.404,61.629,61.992,62.887,73.271,74.689,75.864,78.241,143.797,140.859,126.966,129.910 "libavif avifenc - Encoder Speed: 2 (sec)",LIB,37.752,37.311,34.791,33.650,41.125,38.653,39.876,38.136,47.505,52.227,35.316,34.044,34.148,35.402,40.351,41.916,41.657,42.605,79.200,76.474,69.343,71.968 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,7.061,6.698,7.876,7.360,6.490,5.991,6.572,6.052,5.437,5.438,8.513,8.595,8.422,8.349,7.283,7.153,6.939,6.727,3.710,3.972,4.350,4.040 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,49.42,54.88,35.10,53.66,39.56,44.75,40.82,46.25,40.69,30.17,55.05,62.70,62.02,53.44,54.46,46.00,50.04,44.92,27.33,40.73,44.44,28.43 "ASKAP - Test: tConvolve MT - Degridding (Million Grid Points/sec)",HIB,,,,,,,,,9893.32,7425.22,16906.2,14143.1,14217.1,11941.3,9839.64,13455.0,7382.43,7421.23,,,, "TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec)",HIB,380.14,331.76,319.76,291.37,333.73,341.51,335.58,308.95,347.72,282.50,248.03,330.26,354.59,227.22,314.67,176.00,276.93,256.79,168.10,214.14,232.51,190.80 "TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,969.62,996.47,819.89,858.84,841.68,932.59,852.36,940.40,904.36,690.09,738.31,868.54,942.19,727.77,924.80,658.97,673.42,617.03,464.80,443.74,482.06,520.01 "Y-Cruncher - Pi Digits To Calculate: 1B (sec)",LIB,7.047,5.008,6.701,5.110,8.300,6.334,7.959,6.266,7.744,10.712,8.992,7.471,6.743,8.196,6.928,7.915,10.205,10.427,7.967,11.198,10.386,7.468 "Y-Cruncher - Pi Digits To Calculate: 500M (sec)",LIB,3.267,2.364,3.391,2.659,3.781,3.110,3.704,2.961,3.724,4.874,4.510,4.312,3.850,4.329,3.968,4.100,5.077,5.165,3.629,5.177,4.770,3.411 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,67074667,66991333,73140667,70499000,67130333,67064000,67127667,66266000,53930333,54089667,55415667,55455333,55425333,54954667,46270000,46229667,46210667,45486333,33439333,33444667,37195667,37121333 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,39.450,29.981,34.591,25.872,43.421,32.143,40.501,30.530,39.410,55.738,25.872,32.889,34.567,27.678,38.526,30.680,44.276,46.352,35.546,41.095,37.640,32.655 "OpenRadioss - Model: Cell Phone Drop Test (sec)",LIB,31.49,28.22,27.90,26.88,33.75,27.51,31.92,27.63,31.17,43.45,22.52,20.45,22.53,23.53,23.69,27.86,33.23,35.95,,,, "TensorFlow - Device: CPU - Batch Size: 512 - Model: GoogLeNet (images/sec)",HIB,461.23,576.08,462.78,577.76,383.57,467.91,398.40,477.33,411.05,290.16,464.78,425.25,470.95,525.84,450.61,588.43,313.50,295.29,354.81,278.05,298.16,378.79 "Numpy Benchmark - (Score)",HIB,455.57,456.18,520.22,519.89,461.61,435.21,464.72,439.84,394.71,400.64,540.96,542.15,529.80,529.03,425.46,422.76,421.99,418.89,258.49,261.19,284.33,283.52 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS)",HIB,49.84,48.77,53.99,53.29,47.34,45.29,48.14,46.79,43.80,44.13,55.01,55.56,55.59,52.81,47.33,47.14,46.88,46.93,26.89,27.17,29.95,28.39 "FFmpeg - Encoder: libx265 - Scenario: Platform (FPS)",HIB,49.79,48.76,53.92,53.22,47.32,45.95,48.35,46.59,43.55,44.01,55.11,55.38,55.61,52.79,47.31,47.13,46.87,46.86,26.90,27.17,29.94,28.39 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,70.908,65.224,79.437,70.426,62.750,54.823,65.359,55.979,59.097,55.238,87.824,86.298,87.993,86.341,78.739,77.596,68.188,64.787,42.857,46.483,50.822,47.253 "QuantLib - Configuration: Single-Threaded (MFLOPS)",HIB,3209.6,3210.1,3600.5,3586.3,3225.7,3207.0,3229.1,3222.8,2558.6,2534.5,3125.4,3114.2,3105.9,3098.5,2596.1,2590.8,2593.3,2593.0,1760.8,1765.6,1960.7,1954.2 "TensorFlow - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec)",HIB,448.46,528.93,423.59,501.39,375.73,447.50,386.00,449.91,402.78,290.27,391.40,406.58,447.61,401.84,462.79,397.44,308.46,287.42,301.46,260.83,281.62,335.38 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 (Latency)",LIB,85.16,92.23,81.73,82.73,90.02,94.84,89.53,95.39,102.67,100.29,61.46,52.93,53.77,61.07,58.11,66.54,65.66,64.93,107.28,90.31,84.59,101.49 "ClickHouse - 100M Rows Hits Dataset, Second Run (Queries/min, Geo Mean)",HIB,486.05,507.56,455.79,443.58,465.06,499.18,474.68,467.96,295.43,339.67,528.21,597.73,562.50,529.80,450.12,420.35,337.32,337.44,320.17,381.05,403.96,339.50 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 (point/sec)",HIB,90871770,83651785,94616807,92771639,85744542,80770465,86354518,80139566,75178480,76729495,124947288,144760448,142102254,125595607,131781309,115317834,116879799,117884977,71664005,85117897,90973414,75740139 "ClickHouse - 100M Rows Hits Dataset, Third Run (Queries/min, Geo Mean)",HIB,481.66,501.63,458.23,438.60,470.02,501.07,476.91,471.79,295.06,342.99,526.36,595.19,559.55,525.23,458.96,427.95,338.84,335.46,320.87,379.92,400.52,337.75 "x265 - Video Input: Bosphorus 4K (FPS)",HIB,37.86,37.04,38.93,39.31,29.05,27.26,31.40,27.90,30.80,29.76,31.95,32.12,31.72,28.81,28.16,28.11,28.13,27.74,22.07,20.22,21.30,19.55 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,46.8491,29.1487,60.4094,31.4589,40.7289,32.8141,42.2711,29.1955,38.5025,44.2748,15.0516,29.8493,29.2690,15.0082,24.6095,11.9382,27.3128,26.2475,3.49785,6.24521,6.81330,3.76003 "ASKAP - Test: tConvolve MPI - Degridding (Mpix/sec)",HIB,17891.6,34614.1,31177.2,59139.2,18522,36900.5,20561.4,40368.6,12800.4,8429.13,123480,64260.2,42172.4,81025.8,28476.6,52639.5,16704.4,15903.4,,,, "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,833892,4136969,916904,5186677,713937,3658790,767812,4075342,2300947,430885,6193921,3122574,3161216,6162228,3484477,5861750,851997,771352,2239294,1508453,1640921,2449334 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,298.56,654.84,403.20,736.23,285.95,568.81,301.30,569.60,175.72,84.30,1095.79,433.06,306.27,750.11,283.18,750.96,197.91,204.05,245.27,126.64,134.77,261.64 "ASKAP - Test: tConvolve MPI - Gridding (Mpix/sec)",HIB,21314.2,41773.0,37265.9,72004.0,21766.5,42939.2,23250.2,45195.1,14497.3,9623.77,121976.9,74389.0,46233.7,86757.7,28854.3,54066.0,16573.2,16399.7,,,, "Xmrig - Variant: GhostRider - Hash Count: 1M (H/s)",HIB,5808.8,11263.2,8378.3,16324.7,5446.8,10975.8,6122.3,12115.0,5230.9,2593.2,31157.8,15786.6,14207.7,26702.7,9320.5,17873.1,4660.0,4564.3,10431.6,5315.7,5753.9,11147.2 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,3.58,2.50,2.36,2.48,2.50,2.53,2.67,2.79,8.27,8.58,9.25,9.42,10.09,10.17,10.92,11.20,11.78,13.11,28.24,27.01,24.25,24.77 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,52.8167,36.2493,66.5162,38.4240,47.2703,40.5671,42.2747,33.9621,45.5414,51.0172,23.4960,41.4745,39.2586,23.5786,30.8572,18.0133,30.3743,31.0644,5.58241,9.37294,10.3425,5.95283 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,313.100,156.461,308.801,153.922,319.043,166.485,301.136,153.407,192.993,315.030,100.4600,178.698,190.382,100.3586,153.246,88.3741,207.336,203.055,27.4727,55.8622,64.1584,28.3969 "OpenSSL - Algorithm: SHA256 (byte/s)",HIB,61806994523,119106802107,66573957920,131976050120,44439185187,88635753413,51840436763,103382860113,54530700576,27858504490,276267766403,138409588983,126475137690,251645629887,161269162280,320258686237,74584721007,67806730387,256330349777,129975994733,144163027280,287035041140 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,167.83,423.18,284.64,545.21,202.59,373.50,217.11,401.45,96.08,47.99,205.03,101.51,93.99,188.74,115.78,231.83,53.89,48.73,99.72,51.85,58.06,113.68 "OpenVINO - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (FPS)",HIB,4209.10,7356.63,6757.26,9360.89,4208.49,5565.23,4386.48,5933.65,2963.82,1525.57,8231.72,6963.31,5697.51,7810.65,5310.07,6513.36,3636.33,3405.94,843.92,1747.50,1906.99,978.46 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,62.46,37.58,26.85,28.17,28.73,29.98,38.50,41.57,70.95,127.89,43.17,83.11,91.16,48.43,102.84,56.73,100.67,109.00,294.69,259.66,240.38,271.14 "OpenVINO - Model: Person Re-Identification Retail FP16 - Device: CPU (FPS)",HIB,5943.66,15519.92,9515.86,18375.63,6717.65,13102.28,7207.74,14033.94,3263.03,1698.05,12665.62,6846.79,6554.12,12024.18,7862.65,14601.52,3692.67,3355.73,3787.94,2006.00,2179.99,4259.99 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,15943.17,47654.95,26943.42,48122.16,19183.83,37710.60,20910.53,40032.81,9657.08,4502.74,20550.93,9997.89,9356.71,18666.16,11508.19,22499.03,5366.79,4830.01,10020.91,5278.46,5866.63,11390.04 "ASTC Encoder - Preset: Exhaustive (MT/s)",HIB,4.2689,8.3701,4.6303,8.9091,3.1204,6.2126,3.6276,7.2075,2.6471,1.3319,11.9107,6.3027,5.6301,10.6018,7.5573,14.1038,3.5146,3.1993,7.1291,3.6505,4.0574,7.9060 "NAS Parallel Benchmarks - Test / Class: SP.C (Mop/s)",HIB,71245.26,147311.14,109416.42,228184.68,58815.36,135939.25,69776.41,141954.15,90420.25,37567.61,390520.93,225311.82,125191.11,256584.67,127519.37,214017.18,52745.64,52684.93,,,, "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,784.304,566.377,830.725,605.589,687.671,492.885,678.483,478.467,641.001,767.476,310.591,590.707,586.178,315.355,452.323,270.631,547.524,553.471,81.2572,176.643,190.782,82.4421 "ASTC Encoder - Preset: Very Thorough (MT/s)",HIB,7.0885,13.7518,7.6240,14.6334,5.1342,10.2051,5.9702,11.8875,4.2935,2.1596,19.4052,10.3224,9.1844,17.0098,12.3187,22.0023,5.7420,5.2406,11.3573,5.8632,6.5166,12.6220 "Speedb - Test: Random Read (Op/s)",HIB,276179617,551286958,315178381,586147871,211457048,419943570,244070674,497907490,259136466,130359145,1059546533,537633034,428557054,857687179,589951070,1169947385,274091778,242940110,1158496546,596955494,673159217,1324163340 "RocksDB - Test: Random Read (Op/s)",HIB,265366170,525049998,297517946,578392800,205346154,405533173,234469939,473755946,251234103,125584953,1031209151,523310091,409272949,815145110,573235452,1135206564,266186537,234992636,1115720742,574749552,645309483,1272907561 "TensorFlow - Device: CPU - Batch Size: 1 - Model: ResNet-50 (images/sec)",HIB,10.53,4.39,6.43,3.85,11.29,5.11,9.99,4.37,9.13,17.82,3.92,8.96,9.01,3.66,6.19,2.47,10.79,10.70,1.76,4.67,5.02,1.99 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,1643.43,4744.05,2924.66,5570.63,2074.30,3998.02,2243.84,4351.59,1313.39,637.76,5766.62,2986.33,2739.01,5178.29,3280.25,6400.94,1542.61,1396.78,1593.88,832.29,934.97,1826.82 "FFmpeg - Encoder: libx265 - Scenario: Upload (FPS)",HIB,24.97,24.56,26.93,26.80,23.33,22.34,23.77,23.30,21.73,21.96,27.43,27.61,27.66,26.41,23.36,23.28,23.25,23.27,13.90,14.01,15.47,14.87 "ClickHouse - 100M Rows Hits Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,465.50,485.63,437.20,423.30,446.40,491.89,461.62,460.66,285.17,326.65,513.92,566.31,536.82,504.84,433.79,411.26,323.59,322.69,311.63,365.62,388.29,333.06 "Timed FFmpeg Compilation - Time To Compile (sec)",LIB,24.056,19.506,21.357,17.389,26.458,20.788,24.840,20.008,25.939,34.289,17.839,19.991,20.494,18.089,23.217,21.224,27.536,28.420,25.711,27.850,25.235,23.323 "TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,120.93,115.47,91.51,94.66,104.23,111.71,103.56,107.30,108.32,90.72,86.08,104.52,114.63,82.94,106.14,67.08,87.31,80.86,61.48,71.41,76.37,68.52 "Timed Godot Game Engine Compilation - Time To Compile (sec)",LIB,140.233,118.572,122.718,103.376,149.378,123.882,143.808,122.704,151.537,187.875,96.161,103.352,111.688,102.583,128.279,126.112,154.010,159.624,160.462,165.409,152.229,148.993 "GNU Octave Benchmark - (sec)",LIB,7.532,8.036,6.458,6.856,7.622,12.617,7.748,12.578,9.694,9.104,6.955,6.857,7.528,7.645,8.801,8.848,8.929,8.948,12.245,10.996,10.243,11.619 "Appleseed - Scene: Disney Material (sec)",LIB,53.490276,48.56418,48.425051,43.695399,58.379116,51.245898,56.401698,49.136175,58.376732,79.832398,,40.918961,43.454051,,45.078087,,56.417518,61.362463,,58.306715,52.321381, "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,2539200000,2655500000,2475500000,2620066667,2138766667,2494050000,2308966667,2491340000,1999266667,1469166667,2772800000,2862000000,2859833333,2730233333,2444933333,2374766667,2186833333,2026333333,1852366667,1906266667,2099033333,2036733333 "Zstd Compression - Compression Level: 19 - Decompression Speed (MB/s)",HIB,1032.0,963.6,1221.8,1165.8,1126.4,1040.2,1127.5,1039.2,900.5,1032.4,1392.5,1385.3,1388.9,1382.1,1139.9,1139.0,1118.8,1144.8,721.4,743.5,816.7,774.4 "TensorFlow - Device: CPU - Batch Size: 512 - Model: ResNet-50 (images/sec)",HIB,148.45,174.95,140.53,169.75,117.53,145.29,125.14,138.39,127.97,91.75,137.50,121.96,140.01,161.90,135.17,174.93,101.17,95.63,113.42,91.96,97.67,124.60 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,32.3433,30.0368,33.3797,31.7109,28.5164,24.7274,28.4798,24.6818,25.9606,28.0886,24.0540,28.7250,29.8381,25.6265,27.4471,26.3257,27.9362,27.8703,17.6172,23.3078,26.0268,18.4295 "Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s)",HIB,1069.1,992.1,1242.6,1189.7,1131.1,1041.8,1133.3,1046.0,912.9,1018.3,1321.4,1324.9,1328.5,1324.6,1102.2,1104.2,1101.4,1096.5,701.2,739.1,797.7,753.2 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 (point/sec)",HIB,87797206,80169620,92709751,89231850,82455664,77501248,83475645,78057728,74653007,78823112,106778379,126161028,125562060,108821580,116685326,103630483,105432862,105138551,67599793,81900477,87190397,68320800 "VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,6.719,6.480,7.392,6.960,6.324,6.023,6.501,6.077,5.877,5.583,,7.547,7.431,,6.465,,6.118,6.000,,4.052,4.440, "TensorFlow - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec)",HIB,143.67,161.06,129.02,150.33,119.73,141.95,123.69,135.28,125.91,91.65,120.11,123.37,138.11,133.87,125.76,131.38,98.70,92.82,103.22,87.17,92.42,115.12 "Timed ImageMagick Compilation - Time To Compile (sec)",LIB,14.724,13.262,12.595,11.493,16.075,14.402,15.376,14.094,16.334,18.844,11.720,12.199,13.471,12.749,16.388,15.810,17.917,18.175,20.588,20.908,19.203,18.851 "libavif avifenc - Encoder Speed: 10, Lossless (sec)",LIB,4.923,5.074,4.456,4.579,4.916,5.317,4.867,5.311,5.919,5.906,4.943,4.770,4.792,4.829,5.662,5.740,5.735,5.734,8.094,7.507,6.849,7.603 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 (Latency)",LIB,294.33,317.36,280.26,286.78,314.44,328.41,309.03,325.97,349.42,326.53,246.08,209.68,211.85,240.43,227.40,253.13,251.47,251.05,380.33,312.32,296.36,377.58 "QMCPACK - Input: Li2_STO_ae (Execution Time - sec)",LIB,109.30,101.629,105.98,97.911,121.19,102.12,117.81,106.27,131.37,163.75,91.966,97.004,108.02,102.98,110.80,111.15,137.23,151.27,,,, "libavif avifenc - Encoder Speed: 6, Lossless (sec)",LIB,6.278,6.172,5.784,5.613,6.836,7.121,6.605,7.038,7.388,8.201,5.950,5.757,5.799,5.846,6.853,6.986,7.182,7.301,9.960,9.188,8.359,9.351 "libavif avifenc - Encoder Speed: 6 (sec)",LIB,3.169,3.044,2.971,2.805,3.730,3.776,3.550,3.738,3.528,4.093,2.890,2.723,2.756,2.810,3.251,3.341,3.484,3.623,4.829,4.243,3.872,4.486 "Timed Gem5 Compilation - Time To Compile (sec)",LIB,210.934,178.282,187.507,157.363,220.569,184.298,215.496,181.629,219.669,275.714,161.936,176.876,185.300,164.899,212.546,192.977,242.931,251.606,252.968,267.951,238.432,233.205 "Zstd Compression - Compression Level: 19, Long Mode - Compression Speed (MB/s)",HIB,7.94,8.16,9.80,9.67,7.76,7.62,7.72,7.46,7.83,7.52,8.42,8.45,8.38,8.30,6.68,6.64,6.76,6.74,5.60,5.65,6.19,6.10 "WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (MP/s)",HIB,0.52,0.51,0.60,0.59,0.55,0.54,0.55,0.54,0.49,0.50,0.56,0.57,0.57,0.57,0.48,0.48,0.48,0.48,0.35,0.35,0.39,0.38 "Zstd Compression - Compression Level: 19 - Compression Speed (MB/s)",HIB,14.6,15.2,18.0,17.8,14.4,13.8,14.5,13.3,14.3,13.7,16.8,17.2,17.2,17.0,13.8,13.7,13.9,13.8,10.6,10.6,11.5,11.6 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,164.250,156.516,177.861,165.495,146.097,122.089,151.718,127.546,140.756,134.072,163.795,165.753,178.516,171.218,169.230,168.779,165.089,157.362,108.495,115.345,126.585,117.681 "GraphicsMagick - Operation: Noise-Gaussian (Iterations/min)",HIB,158,182,171,194,150,150,158,164,153,121,179,165,160,178,151,164,123,120,118,145,155,126 "VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,15.060,12.536,15.966,13.256,14.101,11.897,14.362,11.967,13.023,13.100,,17.016,16.730,,14.785,,13.968,13.614,,10.391,11.181, "WebP Image Encode - Encode Settings: Quality 100, Highest Compression (MP/s)",HIB,3.08,3.07,3.47,3.46,3.10,3.09,3.10,3.09,2.81,2.82,3.62,3.61,3.62,3.62,3.04,3.03,3.03,3.03,2.23,2.23,2.49,2.47 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Mesh Time (sec)",LIB,160.72685,162.02669,148.40248,139.61713,153.12467,134.78213,150.66848,159.31171,162.32335,182.23572,135.5163,118.54229,136.39912,140.48261,167.40625,192.41705,163.69864,188.37105,,,, "PyBench - Total For Average Test Times (Milliseconds)",LIB,765,767,691,692,763,763,762,763,971,973,818,818,818,822,974,972,976,974,1119,1117,1007,1005 "Google SynthMark - Test: VoiceMark_100 (Voices)",HIB,711.378,712.697,799.717,799.491,711.101,710.916,712.013,712.085,548.362,555.597,783.200,783.422,783.778,782.322,655.795,655.046,655.239,656.250,494.379,494.046,540.240,538.908 "Timed Mesa Compilation - Time To Compile (sec)",LIB,19.226,18.293,17.258,16.183,20.175,18.474,19.650,18.138,21.437,23.658,16.401,16.668,16.963,16.409,19.906,19.558,21.035,21.530,25.879,25.885,23.405,23.456 "SecureMark - Benchmark: SecureMark-TLS (marks)",HIB,277205,275472,309896,308434,277647,277589,277260,277298,231076,231357,301740,300833,298341,299610,250695,251075,250024,250162,197298,196740,220051,217536 "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Mesh Time (sec)",LIB,31.384585,35.604097,31.704905,29.325125,31.781874,32.481993,31.998248,28.840157,36.862116,39.117914,26.823627,25.931646,28.031022,27.737712,30.381372,29.474484,33.673162,36.823441,,,, "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,1890566667,2025000000,1927766667,2154633333,1640266667,1963233333,1679700000,2090466667,1731166667,1561766667,2279300000,2287466667,2282766667,2282066667,1898766667,1894966667,1871333333,1776866667,1780533333,1841400000,2057300000,1989300000 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,36506000,36461000,40244000,38950600,36537667,36497667,36539000,36521333,31992000,31995000,36040000,36066000,36068333,36033000,29907333,29893333,29899667,29899333,31705667,31726000,35259000,35190667 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,314.65,218.31,297.41,163.65,141.28,267.87,108.61,220.47,82.81,80.15,180.19,101.11,105.34,182.76 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,289.97,202.48,287.83,146.68,125.08,256.93,94.1,208.45,70.5,68.55,152.85,85.81,88.68,152.81 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,386.17,210.59,426.21,227.41,198.61,391.03,160.48,302.54,105.97,95.68,236.43,132.85,155.26,256.16 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,419.57,226.19,475.62,250.92,211.37,417.34,171.56,308.06,109.41,98.3,226.53,132.23,154.49,248.46 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,431.89,232.18,542.3,275.71,230.17,475.21,184.69,399.31,122.1,111.54,302.14,141.66,166.24,346.02 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,431.96,232.56,542.12,264.82,222.45,472.8,179.59,397.19,116.04,106.46,303.41,146.19,171.22,349.02 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,445.87,238.84,547.96,285.19,240.91,478.17,199.22,407.23,126.52,115,302.86,144.55,170.55,347.86 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,445.3,235.28,551.5,288.98,241.91,482.11,195.33,407.81,123.79,109.73,305.05,148.15,174.72,350.61 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,456.44,247.61,550.79,290.09,245.24,483.5,198.94,404.89,133.31,119.46,306.33,146.66,175.34,351.03 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,462.76,250.25,553.19,294.42,250.64,486.07,200.16,403.98,132.4,120.57,301.78,151.02,183.75,350.27 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,306.05,204.41,290.82,153.85,134.62,262.4,102.38,213.81,79.24,75.69,180.17,95.8,101.74,183.21 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,292.43,203.23,291.34,149.45,127.32,257.41,94.62,208.62,72.08,69.12,148.82,86.91,90.3,166.09 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,436.17,240.25,462.27,264.24,223.68,411.86,190.15,307.67,121.13,99.26,292.81,144.23,168.62,317.3 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,424.24,246.13,460.32,261.74,222.91,405.91,188.2,302.95,119.38,101.89,210.79,139.52,163.29,233.19 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,339.94,227.45,300.88,165.58,145.22,272.09,107.51,218.35,85.08,80.29,151.35,75.71,86.18,161.97 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,328.39,236.59,306.76,160.26,144.22,270.43,106.78,219.21,83.53,76.89,127.8,65.57,72.93,138.22 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,452.18,239.05,538.69,268.04,226.63,475.82,210.78,426.23,129.39,105.18,366.41,159.26,190.5,411.87 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,498.61,252.85,611.91,321.88,273.66,522.44,240.98,453.96,140.51,121.04,414.92,200.72,243.68,473.62 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,450.11,243.23,552.04,279.27,236.8,482.18,192.93,406.34,124.93,113.49,350.62,152.65,179.64,392.56 "ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,446.63,242.83,546.46,276.26,234.83,479.74,189.72,404.21,123.51,112.11,332.75,163.17,192.41,380 "ASKAP - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,324.5,183.83,365.98,183.88,158.94,325.56,128.52,268.12,92.34,86.56,,,, "ASKAP - Test: tConvolve MT - Degridding (Million Grid Points/sec/Watt)",HIB,,,,,,,,,30.488,40.392,46.194,76.916,89.447,36.679,76.562,50.183,79.952,85.734,,,, "GNU Octave Benchmark - CPU Power Consumption Monitor (Watts)",LIB,133.36,296.93,108.34,,164.13,373.8,166.55,371.49,180.92,97.85,205.11,95.8,84.26,189.57,67.77,161.36,49.95,47.63,114.72,52.88,55,116.68 "CPU Power Consumption Monitor - Phoronix Test Suite System Monitoring (Watts)",,278.1,517.33,260.08,455.07,291.53,566.6,295.53,569.8,437.37,237.91,525.49,290.08,244.69,464.49,225.05,375.51,128.7,114.13,291.05,142.1,169.1,321.01 "Aircrack-ng - CPU Power Consumption Monitor (Watts)",LIB,307.64,552.88,302.49,498.75,311.12,585.65,309.39,585.6,478.65,239.45,,352.69,265.55,,232.97,,145.5,120.86,,158.02,191.45, "Aircrack-ng - (k/s/Watt)",HIB,479.357,97.517,507.725,128.684,377.956,142.86,433.272,112.132,333.666,424.587,,585.841,702.972,,763.99,,1057.154,1173.567,,725.957,609.641, "Y-Cruncher - CPU Power Consumption Monitor (Watts)",LIB,222.94,424.33,198.74,362.82,255.33,496.54,254.54,493.66,352.71,195.15,404.17,212.59,178.56,351.79,148.59,284.7,105.12,94.34,272.77,141.11,168.68,293.09 "Y-Cruncher - CPU Power Consumption Monitor (Watts)",LIB,181.21,367.73,151.06,285.35,212.09,434.63,211.16,425.51,293.71,167.23,327.67,173.58,146.25,293.51,118.84,238.41,86.13,78.49,221.86,116.04,134.29,236.59 "Primesieve - CPU Power Consumption Monitor (Watts)",LIB,328.05,623.11,325.15,610.7,333.11,644.29,332.68,641.65,498.66,258.9,618.54,347.93,313.43,568.09,274.16,500.8,151.7,116.97,414.77,208.57,266.63,507.66 "Primesieve - CPU Power Consumption Monitor (Watts)",LIB,216.08,384.89,195.27,304.92,247.24,432.51,240.32,419.03,315.19,193.17,239.55,157.31,142.51,217.76,116.27,188.39,87.74,72.3,228.57,134.25,160.81,260.26 "Stockfish - CPU Power Consumption Monitor (Watts)",LIB,339.56,678.39,337.72,672.28,341.39,679.75,341.12,680.45,519.4,263.42,766.5,386.38,347.3,686.5,332.06,640.56,174.36,145.98,474.56,240.94,310.08,618.97 "Stockfish - Chess Benchmark (Nodes/s/Watt)",HIB,285328.343,276776.392,325017.742,331127.597,199243.059,202981.452,215737.778,219573.257,201379.087,193986.515,520707.983,555213.837,569277.484,540060.409,571475.983,470216.095,568916.363,621037.113,496138.401,509643.71,403742.349,431231.391 "Stockfish - Chess Benchmark (Nodes/s)",HIB,96887479,187761769,109766345,222610378,68019088,137977203,73592230,149409082,104597200,51099545,399124223,214524659,197708350,370751530,189763799,301202232,99198144,90658156,235445499,122794246,125194066,266919825 "Helsing - CPU Power Consumption Monitor (Watts)",LIB,336.32,654.95,334.81,643.2,338.57,664.49,338.48,662.24,517.9,264.22,711.96,378.16,322.19,624.24,315.34,591.29,166.23,131.19,444.27,217.84,283.2,552.92 "Xmrig - CPU Power Consumption Monitor (Watts)",LIB,339.42,669.3,334.94,645.48,327.41,673.63,341.47,672.99,513.7,264.66,706.81,375.84,304.31,592.72,232.05,494.18,139.24,125.96,365.97,173.6,197.12,402.77 "Xmrig - Variant: GhostRider - Hash Count: 1M (H/s/Watt)",HIB,17.114,16.828,25.015,25.291,16.636,16.293,17.929,18.002,10.183,9.798,44.082,42.004,46.688,45.051,40.166,36.168,33.466,36.236,28.504,30.621,29.19,27.676 "GNU Octave Benchmark - CPU Power Consumption Monitor (Watts)",LIB,,,,225,,,,,,,,,,,,,,,,,, "Llamafile - CPU Power Consumption Monitor (Watts)",LIB,317.1,630.52,307.46,568.91,306.79,633.28,325.29,639.77,484.21,250.18,568.13,296.68,245.28,480.08,203.84,412.48,135.55,115.77,350.49,175.78,201.04,383.74 "Llamafile - Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPU (Tokens/sec/Watt)",HIB,0.018,0.006,0.013,0.005,0.005,0.003,0.005,0.002,0.006,0.018,0.009,0.029,0.034,0.011,0.037,0.011,0.038,0.044,0.007,0.031,0.028,0.007 "Llamafile - CPU Power Consumption Monitor (Watts)",LIB,262.55,537.58,244.07,512.88,283.07,559.87,288.22,566.01,409.62,215.58,462.55,231.13,186.7,388.15,163.65,343.52,104.22,92.71,385.26,139.67,172.82,429.62 "Llamafile - Test: llava-v1.5-7b-q4 - Acceleration: CPU (Tokens/sec/Watt)",HIB,0.08,0.019,0.068,0.015,0.027,0.014,0.028,0.013,0.03,0.089,0.031,0.11,0.138,0.037,0.126,0.032,0.202,0.223,0.007,0.061,0.056,0.007 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,3.06500,4.05881,2.15980,2.81739,2.97094,4.05270,2.88734,3.95819,4.00675,3.54242,3.61792,2.23922,2.66711,3.68001,3.12904,3.98735,3.91006,3.92455,10.8066,4.20355,4.06272,10.5883 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,2.79694,3.46571,2.16966,2.80263,4.57581,5.02267,4.64757,5.39123,3.43125,3.34966,3.80792,3.57543,5.34656,5.98436,7.63337,7.84065,7.87325,7.86015,6.14327,4.80725,4.59703,4.74859 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,30.9165,33.2899,29.9566,31.5324,35.0665,40.4534,35.1110,40.5178,38.5179,35.6049,41.5696,34.8126,33.5209,39.0176,36.4460,38.0000,35.7943,35.8831,56.7734,42.9016,38.4197,54.2543 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,29.4080,29.7536,29.0185,28.8481,33.3341,36.2283,33.9877,36.0039,29.7645,28.0181,22.7886,21.5784,23.9198,25.3171,26.4458,27.8975,27.9281,26.8290,47.1977,41.0833,36.7834,43.8068 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,34.0021,33.6082,34.4595,34.6628,29.9973,27.6074,29.4250,27.7772,33.6027,35.6875,44.0635,46.8764,42.0692,39.8035,37.9585,35.8712,36.0772,37.5302,21.1982,24.3394,27.1844,22.8289 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,1.27368,1.76353,1.20298,1.64919,1.45280,2.02659,1.47249,2.08780,1.55821,1.30173,3.21781,1.69307,1.70579,3.17064,2.21020,3.69602,1.82443,1.80573,12.3021,5.66426,5.24051,12.1268 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,1.17292,1.43573,1.10042,1.32454,1.37831,1.65270,1.41662,1.71875,1.42849,1.17561,2.24645,1.48596,1.66046,2.25020,2.61653,3.16441,2.25716,2.23868,3.61920,2.24323,2.07288,3.41537 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,3.19298,6.39031,3.23780,6.49693,3.13366,6.00525,3.32030,6.51744,5.18070,3.17360,9.95245,5.59491,5.25321,9.96245,6.52367,11.3148,4.82506,4.92653,36.4009,17.9000,15.5856,35.2266 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,3.17002,5.62517,3.18392,5.83954,3.02897,5.74491,3.37034,6.17796,4.49317,2.98306,7.09682,4.10914,4.46135,7.55558,6.22791,8.51808,4.57029,4.74221,12.4345,7.68977,6.97509,11.4820 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,21.3436,34.3054,16.5534,31.7907,24.5535,30.4733,23.6565,34.2507,25.9813,22.5854,66.4355,33.4994,34.1636,66.6285,40.6330,83.7660,36.6119,38.1027,285.988,160.128,146.779,266.104 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,18.9319,27.5944,15.0376,26.0866,21.2179,24.6510,23.6625,29.4448,21.9564,19.6035,42.8879,24.1097,25.4789,42.5137,32.4744,55.9158,32.9201,32.2294,179.144,106.688,96.6870,167.974 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,5.21520,6.90619,4.01687,5.10948,5.22781,7.34848,5.29027,7.30822,6.50747,5.54379,9.06607,6.18478,6.37780,9.12452,7.28087,10.0666,7.74521,7.70511,17.0553,7.59589,7.13535,16.5418 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,4.49976,5.55101,3.69649,4.29531,5.67700,7.04111,5.91961,7.53259,5.16480,4.80418,6.17190,6.16668,7.88584,9.74614,11.1392,11.5774,11.2047,11.2864,7.32610,7.16440,6.74630,10.58571 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,62.1276,68.8299,50.8307,64.7891,61.2547,72.8018,63.5353,73.9684,66.9136,59.9353,114.158,81.4319,81.6041,113.517,103.597,125.244,102.0503,112.760,149.994,116.644,105.223,140.07 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,49.6376,60.3589,39.7451,44.5996,47.2417,60.1120,49.9740,55.9019,54.2832,48.4700,90.0621,71.5564,72.1232,93.8340,87.6552,93.6360,80.7232,86.6515,155.900,124.064,111.874,141.574 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,20.1453,16.5705,25.1591,22.4251,21.1702,16.6394,20.0103,17.9873,18.4222,20.8723,11.2707,13.9745,13.8647,10.6615,11.4182,10.75188,12.3884,11.5447,6.60471,8.06013,8.93833,7.31285 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,4.86604,5.29287,4.26352,4.65431,5.10914,5.74921,5.26075,5.88628,5.59763,5.67175,11.4580,9.18524,9.08955,11.5024,10.5537,12.8093,10.3026,10.3977,16.5828,14.4761,13.1789,15.2784 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,4.39649,4.72530,3.85774,3.98013,4.58912,4.85818,4.67269,5.00222,5.29844,5.05427,8.39969,8.13326,8.15092,10.4344,9.42177,10.23106,9.38681,9.71131,16.8062,16.8631,15.1057,15.1274 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,329.036,352.738,302.266,327.875,380.902,460.673,382.109,475.254,345.938,363.351,1165.93,801.961,800.231,1094.256,319.348,397.429,388.743,443.961,608.094,562.398,515.079,587.000 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,116.315,92.3473,109.670,100.738,139.096,121.670,155.788,121.780,110.970,160.527,182.268,178.032,182.017,220.351,166.793,203.571,216.703,226.626,194.107,188.300,174.140,182.361 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,8.59719,10.83623,9.11885,9.92684,7.24187,8.39962,6.54965,8.26016,9.03367,6.24740,5.49711,5.66508,5.55018,4.53817,6.01164,4.91420,4.66491,4.46533,5.15166,5.31050,5.74234,5.48343 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,55.1204,78.3989,47.8953,70.4377,61.8256,76.4227,61.0107,79.3770,70.3409,56.5802,158.265,102.035,102.191,157.505,115.790,179.989,114.174,118.023,217.929,140.144,129.940,219.173 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,50.3522,64.2858,43.5355,58.9394,54.9599,69.4501,59.1795,69.2014,60.9282,49.3862,137.989,102.734,101.4686,155.960,120.556,148.208,112.728,114.311,133.356,78.7302,72.3120,122.751 "oneDNN - CPU Power Consumption Monitor (Watts)",LIB,187.58,409.27,173.49,355.72,201.22,425.54,202.05,431.59,304.22,151.05,300.29,155.62,135.34,275.56,122.35,245.22,70.08,62.56,196.1,98.35,112.89,213.96 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,327.19,649.04,324.07,637.42,329.15,656.57,330.63,657.37,501.31,253.93,716.78,374.52,315.18,581.56,292.63,488.86,161.25,137.08,307.84,207.06,248.78,354.62 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,328.31,651.14,323.98,638.38,330.38,659.86,330.51,660.24,504.36,255.01,750.99,380.02,331.39,641.88,322.4,631.93,159.92,133.6,456.74,230.25,297.75,588.97 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,327.9,652.87,325.47,641.35,330.18,659.67,330.18,659.95,509.59,253.24,760.09,370.93,302.4,599.17,269.44,591.23,152.34,130.31,458.61,218.36,269.61,564.61 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,328.72,660.59,318.97,653.57,331.88,665.43,332.74,664.69,511.4,255.74,760.8,382.65,333.47,652.58,323.53,632.45,165.08,135.3,462.61,235.17,308.92,608.93 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,329.39,658.39,326.91,648.24,330.52,665.03,331.34,663.32,510.02,255.45,754.92,377.27,316.48,612.41,311.43,604.27,159.45,130.25,456.22,229.66,299.29,585.34 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,321.95,656.03,325.81,651.59,331.05,663.81,330.98,662.79,507.36,254.14,750.94,374.75,323.9,645.83,299.63,607.43,159.63,135.1,441.51,230.17,296.98,553.41 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,328.2,651.12,325.49,639.31,327.03,658.8,329.87,655.73,506.94,254.29,710.38,368.08,315.59,634.64,293.51,604.36,158.07,128.27,444.05,214.7,257.32,513.09 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,330.49,657.97,302.37,650.24,331,663.67,332.1,666.38,510.45,255.11,749.07,371.14,315.71,615.26,305.35,614.49,156.89,132.64,468.4,234.55,284.95,596.74 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,329.61,662.23,327.29,652.57,331.47,666.11,332.66,666.2,510.62,255.35,762.39,384.48,326.4,649.54,308.04,615.84,156.99,128.88,466.01,235.37,309.55,612 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,327.33,657.43,219.81,525.5,330.51,664.45,331.92,661.77,505.26,253.57,750.87,363.03,304.28,628.28,267.71,578.55,155.49,138.77,438.97,221.35,263.16,515.24 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,328.19,585.54,235.56,472.9,330.72,633.47,331.78,627.67,507.52,255.35,623.56,367.01,310.58,545.61,310.47,436.99,152.78,129.12,274.08,203.6,241.33,302.19 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,323.68,639.29,319.39,625.11,326.77,649.97,327.08,649.1,501.41,251.32,740.61,374.05,317.58,629.45,295.9,582.16,153,126.81,434,225.98,297.23,568.65 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,265.81,511.16,264.62,541.35,282.4,599.73,291.39,602.51,349.52,220.18,454.4,245.06,205.3,396.9,164.54,321.68,116.41,104.85,340.5,148.25,170.8,376.47 "PyTorch - Device: CPU - Batch Size: 512 - Model: ResNet-152 (batches/sec/Watt)",HIB,0.077,0.029,0.088,0.03,0.069,0.028,0.066,0.024,0.042,0.08,0.016,0.057,0.068,0.018,0.066,0.018,0.114,0.127,0.019,0.079,0.08,0.018 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,250.75,490.32,245.26,511.14,265.6,570.95,276.02,577.13,327.4,207.89,418.64,232.68,194.55,369.53,157.61,298.03,110.66,99.8,327.79,138.61,159.18,354.05 "PyTorch - Device: CPU - Batch Size: 512 - Model: ResNet-50 (batches/sec/Watt)",HIB,0.225,0.077,0.258,0.08,0.192,0.073,0.188,0.066,0.114,0.236,0.04,0.149,0.178,0.044,0.175,0.046,0.305,0.332,0.045,0.194,0.194,0.045 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,266.18,525.94,265.19,540.82,282.52,598.06,288.21,604.22,349.96,220.44,457.61,245.31,205.23,395.96,165.14,321.8,115.97,104.56,329.47,148.21,170.76,344.44 "PyTorch - Device: CPU - Batch Size: 256 - Model: ResNet-152 (batches/sec/Watt)",HIB,0.076,0.027,0.088,0.03,0.068,0.027,0.068,0.025,0.043,0.08,0.015,0.057,0.068,0.018,0.067,0.018,0.114,0.126,0.019,0.08,0.08,0.019 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,251.84,486.52,215.65,507.69,268.45,569.91,273.3,577.93,326.58,207.81,419.25,232.73,194.95,365.56,157.48,300.12,110.56,99.64,325.94,138.47,159.18,363.82 "PyTorch - Device: CPU - Batch Size: 256 - Model: ResNet-50 (batches/sec/Watt)",HIB,0.218,0.077,0.293,0.082,0.197,0.073,0.189,0.066,0.113,0.235,0.04,0.15,0.179,0.048,0.176,0.044,0.305,0.334,0.045,0.194,0.194,0.045 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,265.52,520.21,264.8,541.7,282.03,595.73,291.69,605.19,349.16,220.28,455.72,244.28,205,396.83,164.98,320.17,115.9,103.98,330.33,148.31,170.28,374.58 "PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-152 (batches/sec/Watt)",HIB,0.076,0.027,0.089,0.03,0.067,0.027,0.066,0.025,0.043,0.08,0.016,0.057,0.068,0.018,0.066,0.018,0.114,0.126,0.019,0.081,0.076,0.018 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,250.31,486.48,244,507.01,266.73,568.79,275.89,577.63,325.09,207.69,415.63,231.06,195.3,367.41,158.01,299.48,108.57,98.23,326.43,138.69,159.15,363.14 "PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-50 (batches/sec/Watt)",HIB,0.223,0.076,0.258,0.08,0.193,0.074,0.186,0.066,0.116,0.236,0.042,0.15,0.179,0.046,0.175,0.046,0.308,0.338,0.045,0.194,0.193,0.044 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,242.81,476.49,239.78,511.35,262.34,571.95,270.76,578.74,295.35,200.49,418.43,228.52,192.05,369.03,155.97,296.81,104.37,97.09,317.38,139.02,158.21,362.4 "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-152 (batches/sec/Watt)",HIB,0.08,0.033,0.113,0.034,0.076,0.031,0.067,0.026,0.056,0.111,0.02,0.069,0.081,0.022,0.084,0.022,0.146,0.156,0.02,0.096,0.092,0.02 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,219.54,425.75,205.45,450.14,237.82,527.85,251.12,540.93,274.76,177.33,384.75,206.21,174.93,343.94,143.05,279.95,94.53,89.88,307.69,125.95,142.9,341.29 "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec/Watt)",HIB,0.234,0.083,0.377,0.102,0.214,0.088,0.193,0.066,0.155,0.346,0.052,0.2,0.231,0.056,0.221,0.053,0.435,0.456,0.053,0.258,0.251,0.052 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,334.67,661.11,306.26,593.47,337.25,671.88,337.62,672.55,505.8,261.52,622.34,328.89,286.15,547.94,247.07,472.75,149.41,130.65,454.45,214.28,261.65,515.79 "TensorFlow - Device: CPU - Batch Size: 512 - Model: GoogLeNet (images/sec/Watt)",HIB,1.378,0.871,1.511,0.974,1.137,0.696,1.18,0.71,0.813,1.11,0.747,1.293,1.646,0.96,1.824,1.245,2.098,2.26,0.781,1.298,1.14,0.734 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,288.85,603.65,305.73,522.57,325.43,632.22,325.32,625.4,474.18,251.06,538.13,297.93,257.54,483.44,234.91,410.73,134.77,114,407.31,193.42,240.23,460.62 "TensorFlow - Device: CPU - Batch Size: 512 - Model: AlexNet (images/sec/Watt)",HIB,4.426,3.147,4.861,3.903,3.22,2.537,3.409,2.674,3.101,3.517,3.526,4.675,5.294,3.853,6.899,4.569,6.494,6.99,2.406,3.502,3.05,2.31 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,342.65,678.16,299.63,585.9,342.39,684.53,343.75,684.02,504.58,263.16,606.04,316.96,287.56,547.08,244.22,478.51,153.51,134.5,441.95,208.71,255.22,506.95 "TensorFlow - Device: CPU - Batch Size: 512 - Model: ResNet-50 (images/sec/Watt)",HIB,0.433,0.258,0.469,0.29,0.343,0.212,0.364,0.202,0.254,0.349,0.227,0.385,0.487,0.296,0.553,0.366,0.659,0.711,0.257,0.441,0.383,0.246 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,323.79,635.04,281.92,535.58,329.22,653.82,329.98,651.98,483.98,255,587.49,311.48,276.32,518.78,244.09,426.33,145.84,126.6,405.89,200.89,245.54,461.73 "TensorFlow - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec/Watt)",HIB,1.385,0.833,1.503,0.936,1.141,0.684,1.17,0.69,0.832,1.138,0.666,1.305,1.62,0.775,1.896,0.932,2.115,2.27,0.743,1.298,1.147,0.726 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,290.68,554.16,268.97,462.52,307.61,588.17,307.45,589.54,428.69,237.33,480.42,270.65,235.94,428.39,206.77,366.52,126.21,108,362.01,173.02,213.83,411.57 "TensorFlow - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec/Watt)",HIB,4.146,3.122,4.749,3.635,3.205,2.515,3.444,2.593,3.127,3.591,3.248,4.808,5.419,3.535,6.976,3.829,6.684,7.144,2.368,3.524,3.126,2.456 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,338.33,663.98,278.36,540.26,338.38,674.94,340.59,674.95,496.59,260.49,590.53,320.09,284.71,531.98,239.33,451.33,152.81,134.32,417.33,198.95,241.64,475.01 "TensorFlow - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec/Watt)",HIB,0.425,0.243,0.463,0.278,0.354,0.21,0.363,0.2,0.254,0.352,0.203,0.385,0.485,0.252,0.525,0.291,0.646,0.691,0.247,0.438,0.382,0.242 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,275.93,524.23,226.63,426.33,292.25,563.45,291.07,558.65,407.6,224.1,493.46,259.15,226.08,443.22,196.33,350.5,127.66,111.89,305.84,157.46,187.52,337.98 "TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec/Watt)",HIB,1.378,0.633,1.411,0.683,1.142,0.606,1.153,0.553,0.853,1.261,0.503,1.274,1.568,0.513,1.603,0.502,2.169,2.295,0.55,1.36,1.24,0.565 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,221.64,439.21,197.79,357.25,251.93,491.23,252.6,489.99,337.77,198.24,397.64,200.48,173.22,352.38,148.26,294.77,103.47,92.59,267.11,132.25,158.02,289.41 "TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec/Watt)",HIB,4.375,2.269,4.145,2.404,3.341,1.898,3.374,1.919,2.677,3.481,1.857,4.332,5.439,2.065,6.238,2.236,6.508,6.664,1.74,3.355,3.051,1.794 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,303.56,571.99,239.37,469.58,315.74,601.85,317.98,603.74,458.39,250.55,542.07,295.36,256.02,487.46,222.65,375.57,143.22,123.62,330.36,168.94,201.8,364.61 "TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec/Watt)",HIB,0.398,0.202,0.382,0.202,0.33,0.186,0.326,0.178,0.236,0.362,0.159,0.354,0.448,0.17,0.477,0.179,0.61,0.654,0.186,0.423,0.378,0.188 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,154.91,402.29,124.36,313.09,177.15,423.67,183.7,433,229.87,107.65,340.38,131.02,115.93,306.45,101.49,262.36,60.4,56.3,195.59,69.97,76.44,207.14 "TensorFlow - Device: CPU - Batch Size: 1 - Model: GoogLeNet (images/sec/Watt)",HIB,0.217,0.034,0.174,0.041,0.204,0.043,0.171,0.034,0.127,0.496,0.038,0.261,0.283,0.041,0.207,0.031,0.607,0.648,0.03,0.177,0.172,0.032 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,151.32,355.03,124.1,276.92,176.45,403,186.7,414.71,242.28,123.85,307.72,144.8,118.55,280.47,93.48,224.78,64.2,60.05,187.73,73.23,78.62,195.16 "TensorFlow - Device: CPU - Batch Size: 1 - Model: AlexNet (images/sec/Watt)",HIB,0.374,0.106,0.286,0.111,0.274,0.094,0.234,0.08,0.154,0.34,0.065,0.181,0.275,0.071,0.375,0.083,0.538,0.572,0.087,0.404,0.407,0.094 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,188.55,455.97,152.5,351.48,214.64,479.87,220.35,495.88,285.87,137.42,389.7,179.99,157.26,357.87,128.28,288.27,81.51,76.32,203.64,74.94,83.13,212.41 "TensorFlow - Device: CPU - Batch Size: 1 - Model: ResNet-50 (images/sec/Watt)",HIB,0.056,0.01,0.042,0.011,0.053,0.011,0.045,0.009,0.032,0.13,0.01,0.05,0.057,0.01,0.048,0.009,0.132,0.14,0.009,0.062,0.06,0.009 "srsRAN Project - CPU Power Consumption Monitor (Watts)",LIB,111.22,259.97,83.2,185.44,138.16,320.28,147.34,321.38,163.54,82.65,182.65,78.89,69.9,161.78,55.85,137.34,41.18,38.81,107.54,43.98,45.97,108.64 "srsRAN Project - Test: PDSCH Processor Benchmark, Throughput Thread (Mbps/Watt)",HIB,6.116,2.598,8.929,4.074,5.085,2.035,4.788,2.065,2.998,5.866,3.639,8.628,9.795,4.162,10.675,4.2,13.548,14.524,2.726,6.807,7.249,2.979 "srsRAN Project - CPU Power Consumption Monitor (Watts)",LIB,283.1,589.02,266.9,537.03,281.29,604.92,289.12,617.8,470,229.96,632.5,321.41,276.24,559.64,261.04,514.74,136.58,117.93,426.81,205.11,245.99,509.97 "srsRAN Project - Test: PDSCH Processor Benchmark, Throughput Total (Mbps/Watt)",HIB,87.208,51.117,98.832,56.883,75.675,49.984,52.161,19.208,40.306,58.869,41.071,91.424,100.256,40.976,96.515,58.043,141.87,165.234,74.218,133.008,121.163,64.73 "srsRAN Project - Test: PDSCH Processor Benchmark, Throughput Total (Mbps)",HIB,24688.5,30108.7,26378.1,30547.6,21286.6,30236.0,15081.0,11866.7,18943.6,13537.7,25977.4,29384.9,27695.2,22931.8,25194.6,29877.1,19375.9,19485.8,31677.2,27281.9,29804.4,33010.5 "srsRAN Project - CPU Power Consumption Monitor (Watts)",LIB,134.44,304.32,108.29,229.54,172.93,375.78,176.34,373.48,186.14,93.49,235.89,102.46,89.27,213.93,72.27,175.84,50.19,49.36,106.63,43.73,44.02,107.97 "srsRAN Project - Test: PUSCH Processor Benchmark, Throughput Thread (Mbps/Watt)",HIB,0.965,0.426,1.196,0.564,0.75,0.345,0.736,0.347,0.603,1.201,0.476,1.095,1.257,0.524,1.551,0.637,2.234,2.271,0.467,1.139,1.193,0.487 "srsRAN Project - CPU Power Consumption Monitor (Watts)",LIB,254.1,551.02,233.17,500.5,272.33,570.06,283.68,580.82,436.41,221.57,652.65,313.37,253.54,538.17,255.23,518.41,127.74,104.99,308.05,125.74,149.41,349.96 "srsRAN Project - Test: PUSCH Processor Benchmark, Throughput Total (Mbps/Watt)",HIB,10.299,8.808,13.247,10.976,7.971,6.643,8.854,7.552,7.535,7.989,10.725,18.052,20.666,12.702,23.406,16.197,24.996,26.846,9.956,15.533,14.18,9.756 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,312.4,628.76,309.72,619.43,314.43,636.23,316.72,635.9,484.28,240.39,664.5,357.96,280.68,532.22,272.02,372.51,136.88,113.55,410.59,213.46,280.76,511.74 "Liquid-DSP - Threads: 256 - Buffer Length: 256 - Filter Length: 512 (samples/s/Watt)",HIB,3267678.463,2571656.77,3805850.457,3272343.491,2666847.494,2269719.802,2982249.167,2388645.741,2190947.553,2257184.315,3603186.162,4387111.536,4853033.938,4001237.144,6413920.522,4657018.086,5998206.236,6532499.051,3182607.787,3974344.33,3349035.558,2808259.467 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,315.8,636.78,310.3,619.49,318.17,635.13,317.3,639.74,488.78,243.97,671.41,362.54,301.36,576.16,285.46,386.37,146.02,119.1,434.11,224.29,295.72,551.34 "Liquid-DSP - Threads: 256 - Buffer Length: 256 - Filter Length: 57 (samples/s/Watt)",HIB,11085612.925,8419315.634,12268330.081,10144378.388,8954185.9,7597124.425,10156047.281,7871904.972,6213581.6,6601048.412,11934150.923,16030850.556,17475938.767,12864302.697,22424548.815,16347865.871,21345877.017,23457026.728,15666459.94,18991058.672,15942975.314,13780225.289 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,316.47,633.09,311.11,623.14,277.71,643.07,305.6,643.9,489.41,243.95,635.93,362.52,295.44,559.37,289.87,385.26,139.24,119.7,386.75,200.9,260.31,476.44 "Liquid-DSP - Threads: 256 - Buffer Length: 256 - Filter Length: 32 (samples/s/Watt)",HIB,10249944.702,9661394.053,10180344.311,9752693.411,8576477.66,7263532.035,9061082.026,8335236.319,7299110.004,7475059.61,12478169.669,16171511.911,17844515.214,13431732.687,22727990.091,16713460.665,21992105.599,23304528.154,17638157.226,21409914.838,18436155.376,15839180.068 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,313.56,572.97,308.24,611.28,316.42,641.19,315.02,634.9,485.27,243.73,497.11,362.28,265.16,405.79,264.25,362.1,138.03,114.97,269.7,195.9,255.44,315.44 "Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 512 (samples/s/Watt)",HIB,2929507.992,1966021.924,3740373.108,2443783.017,2528910.042,1702250.869,2800439.163,1899608.97,2021740.474,2212405.835,2805690.781,3778092.654,4367851.067,2957086.745,5183635.107,3727692.534,5867538.624,6364836.349,2621658.594,3673478.121,3117578.499,2466244.275 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,315.31,577.58,310.75,617.34,316.47,637.74,319.2,643.18,487.47,244.28,497.67,363.41,289.1,424.28,282.21,378.17,144.65,118.2,283.13,208.54,270.81,331.21 "Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 57 (samples/s/Watt)",HIB,10089438.811,6447020.995,11273487.108,7209189.036,8437038.987,5639264.931,9312055.816,6058163.971,5516263.527,6364402.842,9563226.715,13085490.528,14722432.568,10089896.405,16705633.011,12234041.506,20620501.379,22733164.515,13110978.99,17916149.907,15275772.397,12284401.916 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,315.8,514.38,310.33,554.16,283.2,638.24,308.8,641.03,486.34,244.28,497.93,362.99,280.2,414.47,243.96,348.37,140.38,117.41,252.62,180.45,231.44,294.38 "Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 32 (samples/s/Watt)",HIB,10135010.789,6918246.021,10144782.581,6353287.778,8304651.14,5098422.996,8871933.757,5205818.856,6260399.4,7357841.694,8852490.971,11993608.956,14392112.2,9803609.244,15541749.235,10891038.631,21706213.464,23574098.602,14282136.046,20349128.584,17724724.875,13659351.735 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,315.09,526.23,304.06,518.15,317.61,636.12,316.88,639.09,428.11,243.45,445.97,308.87,244.61,379.6,189.34,296.21,125.6,105.75,197.88,124.61,156.55,223.73 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 512 (samples/s/Watt)",HIB,2362548.083,1519282.706,2577646.645,1705499.347,1991130.778,1151612.889,2174337.875,1184768.102,1510160.813,2067133.314,1904459.877,2753902.958,3317050.155,2172222.155,3748079.599,2394875.441,5046791.277,5458880.215,1767425.56,2885618.686,2545869.665,1718163.342 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,315.42,531.73,307.74,511.79,316.93,636.64,318.37,643.65,427.05,245.38,443.95,309.4,264.48,391,191.35,295.04,130.03,107.3,204.39,133.68,162.74,230.9 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 57 (samples/s/Watt)",HIB,8050132.031,4994066.822,8044246.292,5119414.528,6748464.674,3917514.636,7252530.069,3870621.21,4681614.529,5987302.629,6245758.05,9250164.534,10813033.926,6982683.337,12777153.278,8048978.356,16817799.691,18884627.202,9063033.04,14237235.021,12897729.085,8820935.852 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,281.22,510.48,286.83,475.95,245.35,593.37,254.14,617.07,410.5,244.21,394.38,257.47,229.7,362,158.44,266.35,127.25,100.8,189.62,118.58,143.29,211.19 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 32 (samples/s/Watt)",HIB,6722664.601,3966847.18,6720931.247,4527054.555,6685402.037,3308597.894,6609424.926,3387722.726,4217240.967,6395094.292,5779445.487,8884551.101,9937920.595,6304024.25,11984070.913,7114576.176,14706486.76,17627091.456,9390076.727,15528502.678,14358014.804,9419289.56 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,90.28,231.54,79.97,197.7,116.77,274.92,123.68,280.98,180.71,93.47,240.84,103.76,91.25,218.96,72.05,178.26,49.1,48.39,106.01,43.81,44.05,107.78 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 512 (samples/s/Watt)",HIB,186991.456,72744.476,234762.355,92062.082,144779.819,61488.834,136523.063,60089.56,75252.107,145590.231,54322.928,129024.514,146784.937,61154.454,155096.199,63241.266,229953.45,232185.741,59249.317,143435.837,158555.719,64666.308 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,90.43,232.97,85.12,227.03,116.57,275.13,124.5,281.97,182.63,94.51,241.66,104.68,91.69,219.18,73.02,179.99,50.24,49.21,106.07,43.77,44.01,107.68 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 57 (samples/s/Watt)",HIB,741692.033,287557.789,859261.409,310526.314,575880.012,243752.916,539196.73,235014.31,295293.252,572291.338,229312.069,529757.56,604481.007,250729.154,633663.712,256852.188,919805.488,924272.739,315271.068,764093.383,845147.041,344751.302 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,88.61,230.15,79.05,181.13,114.68,273.12,121.77,280.07,182.69,93.86,241.89,104.65,91.67,218.3,72.89,179.59,50.79,50.11,105.63,43.71,43.87,107.83 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 32 (samples/s/Watt)",HIB,411972.013,158420.271,509090.206,215045.22,318611.935,133630.142,300054.214,130400.412,175115.565,340868.751,148995.975,344631.618,393460.52,165061.915,410323.615,166453.307,588721.266,596676.312,300148.315,725751.194,803665.723,326342.235 "GraphicsMagick - CPU Power Consumption Monitor (Watts)",LIB,310.53,542.66,306.84,527.29,330.14,598.34,322.19,578.67,427.21,253.3,449.12,268.23,223.17,382.8,192.51,331.64,122.54,110.39,246.46,153.73,192.24,276.13 "GraphicsMagick - Operation: Swirl (Iterations/min/Watt)",HIB,1.617,1.137,1.724,1.307,1.193,0.851,1.341,0.964,0.943,1.097,1.298,2.036,2.29,1.445,2.779,1.71,3.093,3.288,1.923,3.279,2.944,1.872 "GraphicsMagick - CPU Power Consumption Monitor (Watts)",LIB,329.54,632.93,326.08,627.19,330.11,660.39,321.22,662.12,504.87,254.91,603.16,341.04,256.57,481.76,247.13,448.99,127.19,116.15,348.18,204.72,261.59,425.97 "GraphicsMagick - Operation: Sharpen (Iterations/min/Watt)",HIB,0.476,0.419,0.512,0.453,0.345,0.301,0.405,0.343,0.285,0.31,0.492,0.589,0.674,0.544,0.838,0.69,0.881,0.904,0.965,1.236,1.074,0.894 "GraphicsMagick - CPU Power Consumption Monitor (Watts)",LIB,329.43,601.76,327.64,608.66,330.74,656.05,329.68,645.53,493.87,254.21,549.68,320.71,247.53,451.41,226.47,397.41,127.55,110.88,322.39,194.07,246.9,389.46 "GraphicsMagick - Operation: Enhanced (Iterations/min/Watt)",HIB,0.656,0.568,0.696,0.614,0.484,0.41,0.549,0.466,0.435,0.484,0.742,0.935,1.067,0.815,1.342,1.014,1.348,1.47,1.086,1.391,1.211,0.999 "GraphicsMagick - CPU Power Consumption Monitor (Watts)",LIB,220.76,389.84,219.79,356.85,271.55,486.24,257.27,476,317.68,195.01,331.54,176.95,153.63,297.92,123.19,243.28,86.65,79.6,159.54,94.78,109.4,172.89 "GraphicsMagick - Operation: Noise-Gaussian (Iterations/min/Watt)",HIB,0.716,0.467,0.778,0.544,0.552,0.308,0.614,0.345,0.482,0.62,0.54,0.932,1.041,0.597,1.226,0.674,1.42,1.507,0.74,1.53,1.417,0.729 "ASTC Encoder - CPU Power Consumption Monitor (Watts)",LIB,300.87,551.93,293.73,525.87,315.36,591.29,312.54,586.49,483.56,254.82,555.22,322.22,271.69,469.68,264.41,424.16,151.62,129.53,347.52,193.71,250.35,422.73 "ASTC Encoder - Preset: Exhaustive (MT/s/Watt)",HIB,0.014,0.015,0.016,0.017,0.01,0.011,0.012,0.012,0.005,0.005,0.021,0.02,0.021,0.023,0.029,0.033,0.023,0.025,0.021,0.019,0.016,0.019 "ASTC Encoder - CPU Power Consumption Monitor (Watts)",LIB,301.81,550,294.16,526.63,315.87,590.21,313.77,582.09,488.29,255.32,538.44,322.42,270.94,474.96,262.17,421.17,151.45,128.4,346.65,194.13,249.37,422.58 "ASTC Encoder - Preset: Very Thorough (MT/s/Watt)",HIB,0.023,0.025,0.026,0.028,0.016,0.017,0.019,0.02,0.009,0.008,0.036,0.032,0.034,0.036,0.047,0.052,0.038,0.041,0.033,0.03,0.026,0.03 "ASTC Encoder - CPU Power Consumption Monitor (Watts)",LIB,239.45,428.35,223.18,373.98,265.38,472.75,261.71,466.49,403.9,228.75,367.67,222.24,193.35,330.17,170.2,265.99,114.12,98.95,228.94,140.53,174.24,264.73 "ASTC Encoder - Preset: Thorough (MT/s/Watt)",HIB,0.214,0.203,0.244,0.262,0.139,0.153,0.164,0.179,0.074,0.068,0.316,0.33,0.338,0.319,0.505,0.456,0.359,0.384,0.31,0.29,0.259,0.299 "ASTC Encoder - CPU Power Consumption Monitor (Watts)",LIB,173.64,342.67,162.88,277.37,211.87,403.63,207.12,397.48,291.19,175.72,258.49,143.57,126.4,234.22,104.51,194.48,75.04,68.61,162.27,89.14,102.28,177.44 "ASTC Encoder - Preset: Medium (MT/s/Watt)",HIB,1.923,1.414,2.012,1.983,1.167,1.094,1.373,1.215,0.741,0.72,1.966,3.488,3.553,2.099,5.05,2.377,3.926,3.989,2.084,3.191,3.076,2.048 "libavif avifenc - CPU Power Consumption Monitor (Watts)",LIB,130.94,276.23,95.6,204.47,159.39,348.01,159.29,346.41,180.38,100.66,192.17,89.96,79.69,171.46,64.93,147.26,45.79,43.89,113.94,50.67,52.35,116.77 "libavif avifenc - CPU Power Consumption Monitor (Watts)",LIB,158.79,313.6,128.43,248.3,193.8,390.59,191.83,378.09,213.07,132.08,220.4,115.08,100.34,198.44,80.51,165.83,55.18,53.07,123.17,59.76,64.09,128.53 "libavif avifenc - CPU Power Consumption Monitor (Watts)",LIB,149.47,294.92,125.51,224.06,180.42,375.42,183.17,370.24,215.89,131.52,193.24,106.31,92.59,178.85,76.34,144.55,54.43,49.3,129.25,64.88,69.56,135.03 "libavif avifenc - CPU Power Consumption Monitor (Watts)",LIB,196.29,390.93,161.32,350.42,235.53,461.85,235.72,458.52,258.88,150.68,296.47,157.68,137.31,267.46,107.23,217.6,75.22,69.45,125.3,59.56,65.19,131.77 "libavif avifenc - CPU Power Consumption Monitor (Watts)",LIB,218.41,425.04,197.77,391.09,254.61,494.12,253.47,485.4,285.14,165.96,324.3,180.87,156.52,295.3,121.7,234.99,85.23,77.61,131.11,65.01,72.37,139.04 "WebP Image Encode - CPU Power Consumption Monitor (Watts)",LIB,148.44,324.76,128.71,274,184.91,407.7,190.72,397.44,192.53,101.4,249.88,109.81,96.75,225.88,77.06,186.91,53.42,52.31,111.28,50.5,51.07,121.62 "WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (MP/s/Watt)",HIB,0.004,0.002,0.005,0.002,0.003,0.001,0.003,0.001,0.003,0.005,0.002,0.005,0.006,0.003,0.006,0.003,0.009,0.009,0.003,0.007,0.008,0.003 "WebP Image Encode - CPU Power Consumption Monitor (Watts)",LIB,88.57,222.03,68.3,186.13,111.05,274.15,119.53,277,169.36,86.28,192.89,82.63,75.95,176,61.84,149.38,44.16,42.26,107.03,43.93,44.16,107.9 "WebP Image Encode - Encode Settings: Quality 100, Highest Compression (MP/s/Watt)",HIB,0.035,0.014,0.051,0.019,0.028,0.011,0.026,0.011,0.017,0.033,0.019,0.044,0.048,0.021,0.049,0.02,0.069,0.072,0.021,0.051,0.056,0.023 "VVenC - CPU Power Consumption Monitor (Watts)",LIB,250.97,449.44,235.39,425.45,275.77,521.79,282.13,521.13,347.13,210.37,,211.98,185.29,,139.36,,107.71,95.43,,90.8,103.62, "VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS/Watt)",HIB,0.06,0.028,0.068,0.031,0.051,0.023,0.051,0.023,0.038,0.062,,0.08,0.09,,0.106,,0.13,0.143,,0.114,0.108, "VVenC - CPU Power Consumption Monitor (Watts)",LIB,242.83,444.48,232.82,413.94,273.3,515.79,277.48,516.46,328.02,196.6,,204.88,177.95,,134.72,,99.45,89.82,,78.47,89.13, "VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS/Watt)",HIB,0.028,0.015,0.032,0.017,0.023,0.012,0.023,0.012,0.018,0.028,,0.037,0.042,,0.048,,0.062,0.067,,0.052,0.05, "FFmpeg - CPU Power Consumption Monitor (Watts)",LIB,186.45,366.29,164.12,317.18,225.58,444.37,228.49,439.08,237.65,145.51,287.45,139.07,123.07,260.19,94.92,210.54,69.48,66.97,117.45,54.51,58.08,127.77 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS/Watt)",HIB,0.267,0.133,0.329,0.168,0.21,0.102,0.211,0.107,0.184,0.303,0.191,0.4,0.452,0.203,0.499,0.224,0.675,0.701,0.229,0.498,0.516,0.222 "FFmpeg - CPU Power Consumption Monitor (Watts)",LIB,186.7,365.67,163.84,316.56,225.5,441.78,228.19,439.49,237.01,145.35,286.98,138.95,123.14,260.25,94.97,210.51,69.43,66.97,117.19,54.55,58,127.88 "FFmpeg - Encoder: libx265 - Scenario: Platform (FPS/Watt)",HIB,0.267,0.133,0.329,0.168,0.21,0.104,0.212,0.106,0.184,0.303,0.192,0.399,0.452,0.203,0.498,0.224,0.675,0.7,0.23,0.498,0.516,0.222 "FFmpeg - CPU Power Consumption Monitor (Watts)",LIB,175.77,355.39,150.78,282.67,215.12,429.86,216.54,428.04,224.76,131.33,280.31,131.52,116.46,253.71,90.52,205.67,65.65,63.46,114.66,51.98,54.72,122.91 "FFmpeg - Encoder: libx265 - Scenario: Upload (FPS/Watt)",HIB,0.142,0.069,0.179,0.095,0.108,0.052,0.11,0.054,0.097,0.167,0.098,0.21,0.237,0.104,0.258,0.113,0.354,0.367,0.121,0.27,0.283,0.121 "uvg266 - CPU Power Consumption Monitor (Watts)",LIB,256.47,454.5,218.83,407.69,268.38,495.22,272.27,503.31,370.67,217.91,357.6,232.88,200.36,320.69,157.17,249.19,112.52,92.93,174.26,104.71,120.53,187.3 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS/Watt)",HIB,0.193,0.121,0.16,0.132,0.147,0.09,0.15,0.092,0.11,0.138,0.154,0.269,0.31,0.167,0.346,0.185,0.445,0.483,0.157,0.389,0.369,0.152 "uvg266 - CPU Power Consumption Monitor (Watts)",LIB,287.16,543.59,283.27,536.26,299.38,571.96,306.72,582.58,425.24,248.57,527.19,310.62,209.83,464.69,224.13,362.19,130.37,107.55,234.71,116.67,138.99,259.74 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Medium (FPS/Watt)",HIB,0.062,0.051,0.059,0.057,0.051,0.039,0.051,0.042,0.038,0.051,0.086,0.105,0.15,0.09,0.145,0.105,0.148,0.166,0.094,0.134,0.124,0.087 "uvg266 - CPU Power Consumption Monitor (Watts)",LIB,289.12,547.66,291.45,550.27,301.55,575.73,306.83,590.16,423.75,249.24,543.26,317.42,258.29,473.23,227.72,375.03,130.95,107.27,238.73,117.38,139.76,267.41 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Slow (FPS/Watt)",HIB,0.054,0.045,0.055,0.049,0.044,0.034,0.045,0.038,0.033,0.044,0.08,0.092,0.108,0.086,0.127,0.099,0.13,0.147,0.086,0.117,0.109,0.081 "Kvazaar - CPU Power Consumption Monitor (Watts)",LIB,235.64,433.41,207.87,374.34,248.42,476.69,253.88,480.56,342.63,205.21,338.64,217.45,189.32,302.06,145.81,237.06,107.72,87.02,170.72,93.24,107.62,185.19 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS/Watt)",HIB,0.212,0.156,0.183,0.175,0.162,0.109,0.163,0.109,0.129,0.152,0.219,0.359,0.406,0.241,0.47,0.249,0.507,0.592,0.213,0.449,0.429,0.21 "Kvazaar - CPU Power Consumption Monitor (Watts)",LIB,263.01,490.42,276.47,509.74,280.57,533.47,286.2,550.48,385.29,234.37,469.54,273.99,219.12,404.28,188.76,323.31,121.69,99.33,216.52,104.69,124.03,243.13 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Medium (FPS/Watt)",HIB,0.08,0.065,0.09,0.082,0.065,0.05,0.066,0.054,0.053,0.066,0.135,0.148,0.181,0.151,0.207,0.169,0.2,0.232,0.135,0.185,0.172,0.13 "Kvazaar - CPU Power Consumption Monitor (Watts)",LIB,262.77,496.87,278.75,508.41,279.05,537.83,286.96,552.42,384.99,234.47,464.35,273.17,229.8,409.96,190.72,325.22,119.03,98.52,220.37,106.79,125.76,248.74 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Slow (FPS/Watt)",HIB,0.077,0.063,0.087,0.08,0.063,0.048,0.064,0.052,0.051,0.064,0.135,0.146,0.169,0.149,0.202,0.169,0.199,0.228,0.132,0.177,0.166,0.128 "x265 - CPU Power Consumption Monitor (Watts)",LIB,234.38,409.49,219.3,359.11,256.33,458.96,261.62,471.43,298.87,203.52,296.42,164.71,145.28,267.17,112.7,216.07,88.38,81.58,160.26,80.41,88.07,169.56 "x265 - Video Input: Bosphorus 4K (FPS/Watt)",HIB,0.161,0.09,0.178,0.109,0.113,0.059,0.12,0.059,0.103,0.146,0.108,0.195,0.218,0.108,0.25,0.13,0.318,0.34,0.138,0.251,0.242,0.115 "SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,204.79,378.27,196.16,333.26,242.37,457.13,245.81,456.54,264.19,173.53,294.39,159.73,140.24,264.94,108.62,214.15,82.61,74.03,135.78,71.01,78.63,146.79 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS/Watt)",HIB,0.034,0.018,0.04,0.022,0.027,0.013,0.027,0.013,0.021,0.031,0.029,0.054,0.06,0.032,0.067,0.033,0.084,0.091,0.027,0.056,0.055,0.028 "SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,195.92,364.29,181.13,309.78,226.08,442.35,228.42,442.62,263.75,164.49,273.59,151.3,134.72,247.1,106.8,200.17,77.57,67.93,143.16,78.14,86.61,154.41 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS/Watt)",HIB,0.362,0.179,0.439,0.227,0.278,0.124,0.286,0.126,0.224,0.336,0.321,0.57,0.653,0.349,0.737,0.388,0.879,0.954,0.299,0.595,0.587,0.306 "SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,149.76,313.03,130.54,245.05,186.44,399.09,186.8,400.5,220.59,127.22,231.05,118.49,104.16,206.47,83.8,168.64,59.31,55.32,130.28,67.73,72.69,139.65 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS/Watt)",HIB,1.097,0.5,1.363,0.675,0.784,0.306,0.812,0.318,0.638,1.054,0.709,1.399,1.714,0.829,2.019,1.001,2.784,2.844,0.833,1.703,1.741,0.843 "SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,155.98,317.58,131.08,247.31,187.24,398.41,187.17,401.02,219.64,128.89,231.16,118.98,105.15,206.94,84.14,171.31,60.52,55.32,131.43,69.02,73.7,142.03 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS/Watt)",HIB,1.042,0.486,1.334,0.659,0.773,0.308,0.801,0.31,0.632,1.033,0.698,1.366,1.644,0.808,1.942,0.933,2.657,2.773,0.824,1.66,1.691,0.821 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,162.474,154.502,174.832,162.979,144.698,122.617,149.996,124.263,138.722,133.188,161.339,162.475,172.875,167.223,163.413,159.746,160.785,153.417,108.293,114.542,124.597,116.618 "Numpy Benchmark - CPU Power Consumption Monitor (Watts)",LIB,108.92,265.77,98.99,220.31,140.29,324.03,146.89,319.82,190.58,99.09,260.26,111.7,98.86,235.19,78.72,194.78,53.3,52.61,108.54,44.9,45.54,108.91 "Numpy Benchmark - (Score/Watt)",HIB,4.183,1.716,5.255,2.36,3.29,1.343,3.164,1.375,2.071,4.043,2.079,4.854,5.359,2.249,5.405,2.17,7.918,7.962,2.382,5.817,6.244,2.603 "PyBench - CPU Power Consumption Monitor (Watts)",LIB,88.45,228.16,85.96,194.14,114.52,276.72,121.48,276.95,177.98,92.52,232.2,99.97,88.41,207.73,72.53,175.13,48.41,47.57,107.3,43.95,45.25,107.95 "Zstd Compression - CPU Power Consumption Monitor (Watts)",LIB,154.25,335.67,134.46,285.1,195.37,414.8,199.75,412.05,195.29,103.56,259.66,113.62,100.13,234.74,78.5,189.86,53.69,52.72,116.84,51.65,53.06,118.94 "Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s/Watt)",HIB,6.931,2.956,9.241,4.173,5.787,2.512,5.674,2.539,4.675,9.833,5.089,11.661,13.268,5.643,14.042,5.816,20.514,20.797,6.001,14.311,15.034,6.333 "Zstd Compression - CPU Power Consumption Monitor (Watts)",LIB,159.64,340.73,140.35,290.84,200.55,415.14,203.22,412.33,202.2,109.38,263.13,118.29,104.36,237.56,81.05,193.87,56.8,55.72,123.42,58.33,59.7,125.62 "Zstd Compression - Compression Level: 19 - Decompression Speed (MB/s/Watt)",HIB,6.465,2.828,8.705,4.008,5.616,2.506,5.548,2.52,4.454,9.439,5.292,11.711,13.308,5.818,14.065,5.875,19.698,20.546,5.845,12.746,13.679,6.162 "Parallel BZIP2 Compression - CPU Power Consumption Monitor (Watts)",LIB,149.7,288.67,124.42,201.02,174.54,345.8,174.26,340.67,220.44,141.25,170.11,100.67,87.61,151.26,71.78,126.08,55.16,50.15,141.47,72.77,79.98,150.21 "7-Zip Compression - CPU Power Consumption Monitor (Watts)",LIB,308.09,613.18,301.96,581.11,313.16,630.61,314.81,628.77,471.63,242.94,578.78,313.89,263.93,513.78,248.63,469.91,132.92,119.61,392.54,185.89,225.95,454.64 "7-Zip Compression - Test: Decompression Rating (MIPS/Watt)",HIB,934.337,908.465,1119.855,986.757,663.359,637.01,773.008,746.103,777.163,775.273,1928.993,2281.23,2434.838,2011.142,3140.68,2852.075,2768.54,2828.903,1954.729,2265.088,2052.497,1861.549 "OpenVKL - CPU Power Consumption Monitor (Watts)",LIB,321.66,633.5,320.1,630.97,327.25,647.03,328.39,649.08,482.91,246.36,677.76,349.21,273.27,546.55,265.2,522.89,138.16,120.35,349.12,176.07,223.17,411.4 "OpenVKL - Benchmark: vklBenchmarkCPU ISPC (Items / Sec/Watt)",HIB,5.391,4.287,6.261,5.106,3.798,2.745,4.129,2.853,3.162,3.527,5.763,6.861,7.601,6.102,9.457,7.673,9.163,9.78,5.786,7.196,6.233,5.416 "Intel Open Image Denoise - CPU Power Consumption Monitor (Watts)",LIB,304.48,573.61,290,534.18,314.57,605.57,313,608.01,461.16,245.89,585.9,329.68,266.61,504.98,239.18,433.56,136.47,118.45,418.44,220.35,279.34,500.21 "Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec/Watt)",HIB,0.004,0.004,0.005,0.004,0.003,0.003,0.004,0.003,0.003,0.003,0.003,0.004,0.005,0.003,0.006,0.004,0.006,0.007,0.004,0.004,0.004,0.003 "Intel Open Image Denoise - CPU Power Consumption Monitor (Watts)",LIB,268.44,496.66,249.97,440.63,286.68,550.26,284.74,538.98,406.6,224.45,499.92,282.53,233.36,424.59,205.54,372.52,123.7,107.91,359.38,199.4,247.22,427.37 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec/Watt)",HIB,0.01,0.009,0.013,0.012,0.008,0.006,0.008,0.007,0.008,0.008,0.007,0.009,0.012,0.008,0.015,0.01,0.015,0.016,0.008,0.01,0.009,0.008 "Intel Open Image Denoise - CPU Power Consumption Monitor (Watts)",LIB,271.32,501.77,249.88,443.88,287.37,542.52,283.96,539.15,406.71,224.83,502.25,284.36,230.11,425.53,203.92,369.54,124.67,107.16,363.85,198.71,246.81,422.71 "Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec/Watt)",HIB,0.01,0.009,0.013,0.011,0.008,0.006,0.008,0.007,0.008,0.008,0.007,0.009,0.012,0.008,0.015,0.01,0.014,0.016,0.008,0.01,0.009,0.008 "Embree - CPU Power Consumption Monitor (Watts)",LIB,271.03,493.94,250.53,422.5,284.3,525.15,281.67,516.97,404.97,227.2,428.94,250.47,221.71,376.52,200.39,357.16,128.92,112.82,322.07,175.27,214.8,357.3 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS/Watt)",HIB,0.258,0.252,0.331,0.363,0.206,0.205,0.232,0.226,0.205,0.192,0.499,0.522,0.499,0.468,0.629,0.532,0.482,0.517,0.377,0.422,0.381,0.373 "Embree - CPU Power Consumption Monitor (Watts)",LIB,215.69,413.97,185.86,299.17,247.01,472.12,246.7,469.55,312.13,182.65,349.82,186.36,163.54,305.41,136.96,263.84,100.16,88.8,197.13,102.53,116.43,211.77 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS/Watt)",HIB,0.368,0.32,0.523,0.579,0.263,0.222,0.291,0.24,0.272,0.261,0.602,0.716,0.693,0.575,0.978,0.759,0.642,0.713,0.635,0.746,0.719,0.643 "Embree - CPU Power Consumption Monitor (Watts)",LIB,215.03,472.72,228.28,393.21,273.07,511.17,267.87,511.91,383.99,219.18,410.15,234.18,180.38,358.56,181.41,335.83,122.78,104.66,303.74,153.94,178.58,333.95 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS/Watt)",HIB,0.428,0.323,0.494,0.508,0.276,0.246,0.312,0.253,0.258,0.253,0.564,0.662,0.735,0.518,0.862,0.62,0.613,0.706,0.457,0.55,0.52,0.453 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,299.76,554.33,290.6,518.28,313.73,589.92,312.09,583.5,444.93,243.3,672.33,304.67,254.04,534.58,229.47,541.66,138.95,120.39,325.96,170.07,212.15,369.36 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,268.15,588.27,252.77,616.75,291.26,614.16,287.68,609.51,388.48,223.15,623.33,329.8,273.01,573.82,256.1,558.27,121.97,107.81,265.24,142.62,175.23,295.44 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,293.93,588.21,290.77,574.5,307.39,605.57,306.2,606.68,440.54,227.88,642.74,323.21,263.32,534.76,249.28,515,131.5,114.16,310.43,146.96,190.51,363.45 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,292.18,535.88,281.84,606.49,308.64,577.01,306.37,571.94,432.31,238.47,653.11,290.44,244.64,559.19,219.88,522.41,135.52,117.68,311.45,164.56,204.48,352.84 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,259.12,622.79,299.63,573.74,283.63,606.6,281.43,599.93,375.01,217.25,696.59,320.39,265.51,548.32,245.02,564.91,118.24,103.3,248.8,134.74,165.73,277.62 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,292.35,584.71,288.94,571.36,304.87,603.55,303.61,602.84,436.59,225.09,640.62,319.28,259.52,533.99,248.39,518.09,131.28,112.81,313.79,147,188.73,365.31 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,296.81,625.45,288.49,591.05,255.3,627.62,301.86,630.06,453.46,239.04,682.63,332.91,261.28,553.25,264.01,526.9,129.01,113.27,310.52,142.92,178.41,386.65 "OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec/Watt)",HIB,0.074,0.061,0.106,0.091,0.063,0.047,0.061,0.053,0.039,0.041,0.081,0.098,0.107,0.086,0.133,0.107,0.139,0.145,0.106,0.136,0.121,0.094 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,336.31,681.46,338.48,677.36,268.43,682.67,334.1,681.19,521.41,261.49,764.28,383.1,291.85,600.41,308.84,596.49,148.12,127.12,377.24,183.09,235.42,463.55 "OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec/Watt)",HIB,0.065,0.056,0.091,0.08,0.06,0.043,0.056,0.049,0.034,0.037,0.072,0.085,0.096,0.079,0.114,0.095,0.121,0.129,0.087,0.107,0.092,0.079 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,311.6,631.92,308.08,630.9,317.76,652.41,318.09,650.92,476.45,241.12,718.49,367.12,273.92,577.89,289.58,573.28,136.83,119.14,346.87,154.91,195.57,395.24 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec/Watt)",HIB,0.079,0.068,0.088,0.077,0.063,0.055,0.07,0.06,0.047,0.049,0.084,0.094,0.112,0.091,0.13,0.111,0.135,0.142,0.061,0.079,0.069,0.058 "LuxCoreRender - CPU Power Consumption Monitor (Watts)",LIB,323.08,646.27,320.73,639.12,326.79,656.04,327.46,656.25,499.14,249.69,722.97,373.72,296.6,586.21,298.61,551.09,150.1,128.09,321.3,191.46,223.98,364.17 "LuxCoreRender - Scene: Orange Juice - Acceleration: CPU (M samples/sec/Watt)",HIB,0.042,0.029,0.046,0.031,0.036,0.026,0.038,0.025,0.029,0.035,0.046,0.066,0.072,0.051,0.08,0.059,0.092,0.101,0.053,0.083,0.071,0.048 "LuxCoreRender - Scene: Orange Juice - Acceleration: CPU (M samples/sec)",HIB,13.46,18.70,14.74,19.91,11.86,16.91,12.50,16.64,14.31,8.82,33.08,24.69,21.32,29.61,23.76,32.26,13.81,13.00,16.88,15.90,15.83,17.45 "LuxCoreRender - CPU Power Consumption Monitor (Watts)",LIB,319.52,636.83,318.84,634.64,324.24,650.43,325.06,649.71,492.26,250,620.51,365.21,284.2,537.06,288.11,450.3,149.9,131.25,297.7,172.93,215.89,344.5 "LuxCoreRender - Scene: LuxCore Benchmark - Acceleration: CPU (M samples/sec/Watt)",HIB,0.022,0.014,0.025,0.014,0.019,0.01,0.021,0.011,0.013,0.017,0.017,0.034,0.04,0.02,0.043,0.021,0.049,0.053,0.022,0.046,0.039,0.02 "LuxCoreRender - CPU Power Consumption Monitor (Watts)",LIB,330.53,664.56,326.43,654.92,331.26,665.76,330.29,668.4,511.71,255.3,739.45,384.12,299.39,573.93,311.89,561.1,156.14,128.95,295.99,180.3,225.44,341.83 "LuxCoreRender - Scene: DLSC - Acceleration: CPU (M samples/sec/Watt)",HIB,0.026,0.017,0.029,0.019,0.023,0.015,0.024,0.016,0.018,0.022,0.031,0.042,0.048,0.031,0.054,0.039,0.06,0.066,0.026,0.052,0.045,0.023 "LuxCoreRender - Scene: DLSC - Acceleration: CPU (M samples/sec)",HIB,8.72,11.12,9.38,12.74,7.46,10.17,8.00,10.44,8.98,5.63,22.58,16.21,14.29,17.89,16.79,22.00,9.39,8.48,7.71,9.40,10.09,7.99 "Appleseed - CPU Power Consumption Monitor (Watts)",LIB,287.38,558.49,282.12,529.15,328.29,604.56,299.9,609.71,465.64,259.51,,308.24,254.33,,224.95,,137.83,115.79,,135.79,166.47, "Blender - CPU Power Consumption Monitor (Watts)",LIB,311.52,575.47,303.23,545.55,322.02,603.68,320.19,605.47,471.81,251.6,553.98,316.57,272.23,483.45,255.66,438.61,148.28,127.16,347.76,186.05,235.7,397.69 "Blender - CPU Power Consumption Monitor (Watts)",LIB,340.87,666.99,339.43,660.14,343.06,675.87,342.89,673.68,521,265.95,738.74,388.09,319.36,632.52,321.43,614.31,166.92,139.56,442.07,219.92,282.74,517.76 "Blender - CPU Power Consumption Monitor (Watts)",LIB,332.25,638.84,330.4,624.76,336.64,656.12,337.24,654.26,509.42,261.74,677.05,370.95,312.47,592.5,304.63,465.54,163.93,133.17,415.82,217.74,280.84,523.16 "Blender - CPU Power Consumption Monitor (Watts)",LIB,313.33,570.45,303.18,546.98,321.04,607.36,319.1,602.46,473.37,251.93,561.28,322.13,277.68,491.93,261.77,447.74,152.85,126.35,350.36,193.48,247.1,429.78 "Blender - CPU Power Consumption Monitor (Watts)",LIB,330.03,636.73,326.8,621.31,334.43,652.82,335.02,648.81,509.54,262.14,671.43,365.01,300.94,570.92,295.34,534.08,159.04,130.93,410.34,214.19,273.8,509.44 "Blender - CPU Power Consumption Monitor (Watts)",LIB,303.66,556.95,297.61,522.14,316.78,589.35,311.66,584.52,467.53,250.52,521.92,314.77,264.26,465.75,247.78,414.63,146.16,121.31,337.47,189.01,237.13,401.76 "OpenRadioss - CPU Power Consumption Monitor (Watts)",LIB,321.19,600.33,313.77,561.7,328.51,624.98,329.11,619.95,469.12,250.92,526.7,309.02,270.92,495.69,249.04,450.48,143.22,128.33,,,, "OpenRadioss - CPU Power Consumption Monitor (Watts)",LIB,331.72,647.82,328.15,633.7,335.98,661.11,334.64,658.11,505.66,259.44,702.37,370.43,303.45,595.98,297.41,554.53,147.36,129.32,,,, "OpenRadioss - CPU Power Consumption Monitor (Watts)",LIB,289.5,545.45,272.03,504.55,302.43,570.84,297.92,572.24,424.07,232.77,493.1,276.69,238.37,439.02,210.23,357.25,127.55,113.05,,,, "OpenFOAM - CPU Power Consumption Monitor (Watts)",LIB,345.17,677.95,342.05,662.55,345.8,682.47,345.66,683.58,530.36,267.82,754.07,383.05,315.41,646.4,299.74,608.58,151.27,136.84,,,, "OpenFOAM - CPU Power Consumption Monitor (Watts)",LIB,321.01,612,309.91,575.65,327.52,635.4,326.72,635.45,494.65,257.16,654.7,354.56,291.57,556.32,279.79,494.35,144.44,127.4,,,, "BRL-CAD - CPU Power Consumption Monitor (Watts)",LIB,343.48,322.45,344.14,310.13,344.46,388.83,345.21,393.74,208.64,266.19,279.26,122.33,108.44,253.41,92.03,216.96,163.9,136.21,121.84,47.88,49.98,124.58 "BRL-CAD - VGR Performance Metric (VGR Performance Metric/Watt)",HIB,2427.744,12829.713,2664.368,16724.437,2072.641,9409.683,2224.181,10350.359,11028.559,1618.732,22179.786,25526.512,29152.602,24316.784,37864.302,27017.582,5198.177,5662.817,18379.52,31502.681,32830.836,19660.232 "Xcompact3d Incompact3d - CPU Power Consumption Monitor (Watts)",LIB,344.75,681.46,333.9,675.14,342.5,685.84,345.35,686.09,531.6,267.65,750.96,359.91,296.94,638.9,271.32,591.17,140.74,129.67,,,, "Xcompact3d Incompact3d - CPU Power Consumption Monitor (Watts)",LIB,278.29,495.02,251.56,426.75,288.56,524.04,283.32,524.59,415.93,237.24,431.35,254.46,216.15,371,200.17,313.08,124.9,114.52,,,, "NWChem - CPU Power Consumption Monitor (Watts)",LIB,346.91,695.26,347.16,694.86,343.96,692.7,345.72,695.19,537.29,268.9,811.84,406.11,345.69,703.69,342.47,698.14,162.23,137.83,,,, "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,215.9,400.48,158.85,323.22,223.5,424.86,226.18,429.08,325.09,188.84,299.85,161.61,149.28,279.06,154.31,248.47,97.98,88.65,,,, "NAS Parallel Benchmarks - Test / Class: CG.C (Mop/s/Watt)",HIB,156.606,145.148,401.377,305.562,157.124,153.926,155.777,154.965,119.68,119.97,295.111,384.091,356.265,302.724,283.842,254.616,226.885,244.609,,,, "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,161.26,328.87,125.05,291.62,172.14,362.6,179.93,377.22,248.03,151.33,263.66,120.62,109.02,236.74,99.22,248.27,70.53,65.48,,,, "NAS Parallel Benchmarks - Test / Class: MG.C (Mop/s/Watt)",HIB,517.494,496.644,858.239,757.48,499.075,476.052,480.219,454.469,446.481,378.759,928.221,1119.201,1070.683,823.456,1265.546,988.646,906.458,953.719,,,, "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,242.56,473.71,225.16,405.72,256.12,520.51,262.81,526.3,386.95,211.05,348.31,198.04,176.27,316.24,156.42,307.47,108.72,97.74,,,, "NAS Parallel Benchmarks - Test / Class: IS.D (Mop/s/Watt)",HIB,11.814,8.36,18.03,18.332,11.909,7.333,11.707,7.258,8.646,10.738,35.302,32.045,29.667,32.063,36.454,31.78,25.26,27.818,,,, "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,296.18,533.96,265.82,442.63,309.61,558.68,303.7,563.63,444.12,248.45,426.04,255.3,228.74,394.96,215.95,376.89,134.2,119.33,,,, "NAS Parallel Benchmarks - Test / Class: SP.C (Mop/s/Watt)",HIB,240.551,275.884,411.618,515.524,189.967,243.324,229.752,251.859,203.592,151.211,916.624,882.532,547.318,649.644,590.509,567.854,393.051,441.5,,,, "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,268.4,499.73,241.46,403.9,280.72,537.56,292.98,538.25,417.78,233.13,394.59,224.61,201.73,354.21,198.26,325.31,118.96,107.92,,,, "NAS Parallel Benchmarks - Test / Class: LU.C (Mop/s/Watt)",HIB,503.441,522.536,960.887,1127.297,449.456,459.151,449.2,478.185,445.1,422.752,1398.792,1613.952,1333.708,1335.18,1409.218,1808.53,1120.427,1212.351,,,, "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,291.31,520.43,276.68,471.7,254.67,537.97,270.13,561.84,440.29,242.36,495.73,307.77,242.89,416.97,234.01,379.03,129.08,113.27,,,, "NAS Parallel Benchmarks - Test / Class: EP.D (Mop/s/Watt)",HIB,25.961,28.72,29.236,33.928,21.074,20.392,23.86,22.77,20.171,18.482,44.715,37.119,43.855,46.562,53.739,58.089,49.709,50.719,,,, "NAS Parallel Benchmarks - Test / Class: EP.D (Mop/s)",HIB,7562.80,14946.76,8089.14,16004.07,5366.69,10970.45,6445.09,12793.01,8880.82,4479.28,22166.60,11424.05,10652.03,19414.94,12575.30,22017.75,6416.34,5745.04,,,, "Pennant - CPU Power Consumption Monitor (Watts)",LIB,287.94,535.71,279.92,489.66,303.18,573.95,298.37,569.16,438.87,239.83,404.01,242.71,200.64,351.84,182.99,310.27,123.57,110.49,,,, "Pennant - CPU Power Consumption Monitor (Watts)",LIB,222.1,414.55,191.11,342.65,241.62,448.22,234.93,450.17,344.84,215.77,370.49,196.35,170.76,322.18,156.67,291.74,107.18,95.67,,,, "Pennant - Test: leblancbig (Hydro Cycle Time - sec)",LIB,4.955865,2.529807,4.182707,2.159459,5.930957,2.881099,5.114161,2.527363,4.702557,11.85213,2.076835,3.360453,3.754835,2.312977,3.654303,2.084384,6.541768,6.852712,,,, "High Performance Conjugate Gradient - CPU Power Consumption Monitor (Watts)",LIB,344.43,688.79,340.38,685.14,344.79,690.6,345.19,683.79,529.99,266.5,722.2,330.25,273.24,612.13,238.17,563.2,141.98,131.23,,,, "High Performance Conjugate Gradient - X Y Z: 144 144 144 - RT: 60 (GFLOP/s/Watt)",HIB,0.09,0.088,0.103,0.101,0.073,0.079,0.089,0.092,0.057,0.077,0.062,0.084,0.104,0.069,0.099,0.074,0.156,0.169,,,, "GPAW - CPU Power Consumption Monitor (Watts)",LIB,322.66,606.84,314.73,568.78,327.19,621.08,324.94,622.05,497.52,257.77,641.29,353.01,300.58,562.66,293.6,513.29,154.54,136.93,,,, "QMCPACK - CPU Power Consumption Monitor (Watts)",LIB,337.54,670.52,335.13,660.86,323.64,673.9,338.77,676.4,524.73,263.86,767.28,391.36,316.1,635.44,319.33,628.81,154.43,132.24,,,, "QuantLib - CPU Power Consumption Monitor (Watts)",LIB,325.01,651.9,322.97,650.23,321.14,660.57,328.34,662.07,507.54,253.81,730.61,369.92,316.09,644.13,311.83,633.06,157.98,127.97,418.9,210.04,273.26,543.14 "QuantLib - Configuration: Multi-Threaded (MFLOPS/Watt)",HIB,552.74,537.18,605.775,585.747,447.644,436.185,495.612,477.833,359.313,358.685,881.583,864.576,930.7,921.008,1200.708,1200.397,1092.364,1202.803,1089.214,1113.277,960.37,956.274 "QuantLib - CPU Power Consumption Monitor (Watts)",LIB,100.48,241.52,79.4,238.94,120.93,287.73,129.58,292.75,183.87,92.78,244.1,105.22,92.05,217.74,74.58,184.09,52.79,51.72,106.82,43.81,44.69,108.03 "QuantLib - Configuration: Single-Threaded (MFLOPS/Watt)",HIB,31.944,13.291,45.349,15.009,26.675,11.146,24.919,11.009,13.915,27.318,12.804,29.597,33.742,14.23,34.812,14.074,49.122,50.135,16.483,40.298,43.869,18.09 "CloverLeaf - CPU Power Consumption Monitor (Watts)",LIB,346.05,685.99,289.13,524.03,345.92,677.8,346.15,680.25,529.36,267.62,538.72,301.76,250.17,483.81,200.7,388.45,143.82,132.66,440.67,186.46,205.96,466.63 "CloverLeaf - CPU Power Consumption Monitor (Watts)",LIB,320.54,611.92,299.62,552.24,324.2,623.99,323.64,627.92,479,254.93,499.33,264.63,223.18,437.97,183.89,366.92,132.55,122.03,364.67,168.7,184.14,389.09 "GROMACS - CPU Power Consumption Monitor (Watts)",LIB,306.77,584.52,289.21,535.3,314,602.79,311.94,603.46,474.08,248.51,601.18,317.95,260.21,505.98,250.1,455.51,137.24,120.24,,,, "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day/Watt)",HIB,0.029,0.026,0.036,0.035,0.024,0.022,0.027,0.023,0.019,0.019,0.037,0.048,0.048,0.04,0.053,0.047,0.047,0.052,,,, "NAMD - CPU Power Consumption Monitor (Watts)",LIB,273.91,552.42,260.62,510.74,281.33,560.13,295.54,565.07,411.33,233.31,343.59,274.76,235.77,289.28,206.2,249.94,130.18,114.62,241.31,119.15,140.31,273.53 "NAMD - Input: STMV with 1,066,628 Atoms (ns/day/Watt)",HIB,0.004,0.002,0.006,0.004,0.005,0.003,0.005,0.003,0.004,0.005,0.019,0.012,0.012,0.018,0.014,0.023,0.012,0.013,0.003,0.004,0.004,0.002 "NAMD - Input: STMV with 1,066,628 Atoms (ns/day)",HIB,1.05274,1.10900,1.43787,2.25422,1.45223,1.88679,1.50214,1.76778,1.61232,1.11056,6.38343,3.41085,2.87877,5.27839,2.88869,5.83606,1.51901,1.46163,0.70757,0.52357,0.56717,0.57694 "NAMD - CPU Power Consumption Monitor (Watts)",LIB,258.53,533.68,236.13,484.77,248.99,522.05,269.88,550.3,389.17,216.04,326.5,180.85,187.68,262.91,165.67,225.05,109.51,96.77,236.64,112.28,132.04,266.5 "NAMD - Input: ATPase with 327,506 Atoms (ns/day/Watt)",HIB,0.011,0.004,0.02,0.012,0.024,0.014,0.022,0.005,0.017,0.017,0.064,0.052,0.044,0.068,0.048,0.084,0.052,0.056,0.011,0.034,0.029,0.009 "NAMD - Input: ATPase with 327,506 Atoms (ns/day)",HIB,2.97021,2.21948,4.64814,5.85267,5.97130,7.30065,5.92501,2.56319,6.72663,3.60479,20.75259,9.33534,8.18275,17.81105,7.99756,18.97454,5.70672,5.44971,2.55400,3.76811,3.76348,2.39770 "ASKAP - CPU Power Consumption Monitor (Watts)",LIB,314.14,626.07,297.8,562.35,311.12,633.57,309.44,637.73,496.22,248.29,611.81,300.8,245.74,519.5,214.21,492.69,126.56,115.4,,,, "ASKAP - Test: tConvolve MPI - Gridding (Mpix/sec/Watt)",HIB,67.85,66.723,125.136,128.042,69.962,67.774,75.135,70.868,29.215,38.761,199.37,247.301,188.139,167.001,134.702,109.736,130.955,142.115,,,, "miniFE - CPU Power Consumption Monitor (Watts)",LIB,224.98,424.3,198.71,366.83,253.53,498.77,260.35,500.61,326.82,190.48,330.55,177.88,152.24,309.09,127.63,258.88,96.36,86.83,215.79,108.34,119.29,225.73 "miniFE - Problem Size: Small (CG Mflops/Watt)",HIB,156.594,110.483,160.181,114.806,79.244,39.851,71.524,43.114,94.996,120.523,179.901,298.897,334.412,140.835,392.866,162.673,254.515,282.716,183.427,373.284,340.557,165.956 "miniFE - Problem Size: Small (CG Mflops)",HIB,35230.1,46877.5,31830.2,42114.6,20091.1,19876.5,18621.2,21583.2,31046.5,22957.3,59466.6,53167.8,50909.6,43531.0,50139.9,42113.5,24526.0,24548.8,39580.9,40441.0,40626.4,37461.1 "m-queens - CPU Power Consumption Monitor (Watts)",LIB,266.4,497.84,278.57,481.61,241.11,465.55,260.39,502.47,431.33,238.8,412.8,267.9,221.83,366.51,202.95,316.2,122.5,106.99,317.88,180.19,226.9,381.31 "LAMMPS Molecular Dynamics Simulator - CPU Power Consumption Monitor (Watts)",LIB,343.29,680.62,341.9,673.08,345.23,685.33,344.05,682.64,530.19,266.98,785.79,399.48,318.64,633.05,318.23,624.63,153.16,132.09,,,, "LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day/Watt)",HIB,0.102,0.074,0.11,0.084,0.082,0.068,0.093,0.076,0.067,0.08,0.079,0.117,0.133,0.09,0.151,0.094,0.18,0.192,,,, "LAMMPS Molecular Dynamics Simulator - CPU Power Consumption Monitor (Watts)",LIB,137.71,354.59,100.63,283.35,150.09,368.48,147.45,384.54,226.26,113.55,300.13,111.71,97.2,265.38,89.57,252.99,52.44,48.67,,,, "LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day/Watt)",HIB,0.209,0.119,0.341,0.196,0.184,0.129,0.209,0.136,0.148,0.186,0.179,0.358,0.372,0.189,0.451,0.204,0.462,0.451,,,, "miniBUDE - CPU Power Consumption Monitor (Watts)",LIB,316.19,578.13,323.61,600.52,286.83,605.49,314.81,621.91,494.9,257.94,581.3,340.93,283.82,495.6,274.94,431.39,144.45,124.23,361.96,174.56,223.09,444.54 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (Billion Interactions/s/Watt)",HIB,0.275,0.244,0.334,0.319,0.245,0.211,0.248,0.215,0.196,0.191,0.532,0.551,0.605,0.588,0.847,0.669,0.746,0.789,0.216,0.225,0.196,0.195 "miniBUDE - CPU Power Consumption Monitor (Watts)",LIB,255.91,459.2,239.11,396.77,242.48,476.05,253.17,496.58,417.23,229.13,387.38,237.41,194.1,332.37,162.7,293.27,106.48,94.19,300.28,157.01,196.03,357 "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (Billion Interactions/s/Watt)",HIB,0.324,0.291,0.445,0.503,0.262,0.228,0.28,0.231,0.204,0.206,0.611,0.64,0.706,0.655,1.413,0.732,1.008,1.043,0.255,0.249,0.222,0.236 "LULESH - CPU Power Consumption Monitor (Watts)",LIB,218.49,494.73,246.63,492.01,237.51,533.2,248.64,531.65,420.13,204.51,446.2,209.57,181.42,394.86,180.07,376.23,113.47,103.72,298.06,155.54,175.39,327.25 "LULESH - (z/s/Watt)",HIB,105.599,88.379,155.837,143.954,100.411,97.716,103.891,100.197,50.913,84.831,122.543,130.205,143.767,123.489,134.497,122.601,149.38,162.516,144.084,167.314,153.168,134.873 "RELION - CPU Power Consumption Monitor (Watts)",LIB,344.24,679.44,341.82,665.17,345.11,683.82,344.98,682.36,531.46,267.6,752.52,394.87,320.59,622.74,270.75,553.69,163.61,148.71,,,, "ACES DGEMM - CPU Power Consumption Monitor (Watts)",LIB,252.19,453.94,239.87,390.95,276.9,507,277.15,496.59,398.61,226.98,364.55,230.52,182.5,302.67,178.2,290.43,109.94,95.47,277.33,148.35,170.6,312.9 "ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s/Watt)",HIB,0.093,0.101,0.121,0.149,0.071,0.078,0.081,0.09,0.063,0.059,0.215,0.196,0.214,0.228,0.252,0.292,0.198,0.22,0.114,0.107,0.105,0.112 "WRF - CPU Power Consumption Monitor (Watts)",LIB,348.04,696.45,346.87,696.98,344.06,697.26,348.35,697.18,532.99,269.24,789.57,373.92,300.18,658.99,281.34,632.77,145.37,129.9,,,, "Algebraic Multi-Grid Benchmark - CPU Power Consumption Monitor (Watts)",LIB,296.41,591.89,285.81,553.59,295.22,593.28,297.94,600.53,465.7,232.24,601.82,286.5,241.77,504.15,214.44,502.96,123.07,110.44,,,, "Algebraic Multi-Grid Benchmark - (Figure Of Merit/Watt)",HIB,5415151.056,5278683.301,6349445.213,6520382.598,5380716.027,5320019.076,5363427.408,5337195.705,1552824.491,4622831.256,7422966.054,8293777.779,9442032.066,8578578.697,10610537.816,5533330.979,9344903.379,10387087.222,,,, "Google SynthMark - CPU Power Consumption Monitor (Watts)",LIB,93.65,234.1,102.83,256.19,113.78,306.14,120.87,277.45,183.65,93.31,241.28,103.33,90.1,216.87,72.82,181.43,50.47,49.36,106.55,43.76,43.78,108.46 "Google SynthMark - Test: VoiceMark_100 (Voices/Watt)",HIB,7.626,3.044,7.777,3.121,6.25,2.322,5.891,2.567,2.986,5.954,3.246,7.582,8.699,3.607,9.006,3.61,12.984,13.295,4.64,11.291,12.34,4.969 "Coremark - CPU Power Consumption Monitor (Watts)",LIB,293.49,548.16,313.68,590.2,261.99,519.35,282.3,557.64,420.6,242.89,617.5,341.96,296.23,535.89,269.93,489.3,144.77,122.91,301.62,158.45,213.94,396.71 "Coremark - CoreMark Size 666 - Iterations Per Second (Iterations/Sec/Watt)",HIB,7477.769,7118.465,7555.564,8414.462,6163.4,5763.196,6571.616,5880.624,4373.415,5016.557,13681.179,12144.305,13254.143,14883.363,16764.474,16699.882,15712.092,16836.692,21799.947,18400.488,15612.902,18406.919 "SecureMark - CPU Power Consumption Monitor (Watts)",LIB,91.51,232.4,85.06,248.23,120.26,281.43,126.1,284.83,192.93,97.85,261.84,111.99,98.33,235.38,78.24,196.37,53.23,52.31,106.76,43.71,44.1,108.17 "SecureMark - Benchmark: SecureMark-TLS (marks/Watt)",HIB,3029.2,1185.32,3643.381,1242.557,2308.757,986.368,2198.707,973.545,1197.695,2364.517,1152.375,2686.162,3034.031,1272.879,3204.233,1278.585,4697.252,4781.857,1847.991,4501.162,4990.151,2010.974 "Speedb - CPU Power Consumption Monitor (Watts)",LIB,330.55,658.68,325.5,573.79,331.78,654.26,333.11,666.91,510.96,256.25,575.41,343.59,283.98,496.84,244.15,428.8,150.95,122.29,358.61,169.23,198.15,398.75 "Speedb - Test: Read While Writing (Op/s/Watt)",HIB,32356.037,26260.047,37383.406,30648.421,26509.913,21183.203,29984.576,23023.232,23084.612,27890.685,57884.556,57032.771,63472.871,61034.967,93506.835,85339.034,79851.054,97163.654,77049.127,103697.416,90565.21,69360.789 "Speedb - CPU Power Consumption Monitor (Watts)",LIB,330.77,660.7,327.52,654.93,310.76,652.02,327.7,666.37,511.53,255.89,767.34,382.79,274.09,567.45,296.2,596.13,150.73,120.08,472.86,235.82,311.77,621.56 "Speedb - Test: Random Read (Op/s/Watt)",HIB,834970.472,834394.351,962315.697,894980.08,680456.82,644065.874,744809.116,747196.351,506592.638,509439.259,1380809.625,1404496.492,1563545.137,1511464.502,1991742.681,1962564.718,1818446.427,2023204.528,2449964.806,2531402.051,2159153.276,2130388.237 "RocksDB - CPU Power Consumption Monitor (Watts)",LIB,330.54,656.04,323.9,558.28,332.58,651.38,331.82,663.3,510.9,255.9,671.28,383.63,300.55,576.34,301.4,505.19,155.39,134,350.26,179.48,208.52,400.79 "RocksDB - Test: Read While Writing (Op/s/Watt)",HIB,23723.763,18781.267,27560.284,22256.949,22369.26,14775.494,22200.615,16920.458,19253.515,21648.99,29572.893,36906.825,48605.69,34889.647,52342.461,45330.18,60067.213,66672.697,69851.749,63183.026,56900.618,67516.293 "RocksDB - Test: Read While Writing (Op/s)",HIB,7841738,12321300,8926893,12425519,7439663,9624417,7366500,11223329,9836689,5539870,19851664,14158419,14608544,20108289,15776186,22900152,9333645,8934176,24466143,11340389,11864815,27059786 "RocksDB - CPU Power Consumption Monitor (Watts)",LIB,330.58,663.47,328.84,658.59,309.28,666.86,332.82,667.81,512.86,255.83,768.58,384.04,268.72,551.56,292.89,595.15,149.48,119.15,472.92,235.93,311.76,624.29 "RocksDB - Test: Random Read (Op/s/Watt)",HIB,802721.251,791368.938,904750.009,878232.537,663946.02,608125.969,704496.503,709419.371,489869.477,490897.229,1341709.997,1362651.036,1523041.949,1477897.339,1957165.935,1907427.817,1780768.795,1972313.572,2359232.601,2436056.021,2069916.274,2038972.596 "Memcached - CPU Power Consumption Monitor (Watts)",LIB,287.94,545.78,262.73,492.94,291.06,550.54,302.36,567.79,450.49,239.75,543.22,334.34,264.56,472.39,235.06,393.77,137.94,113.8,222.11,107.16,124.44,250.13 "Memcached - Set To Get Ratio: 1:100 (Ops/sec/Watt)",HIB,15564.525,5947.325,18089.297,7668.806,15062.127,6127.333,14272.391,5975.545,10688.229,20130.485,15985.006,25824.733,31074.263,17990.135,32910.933,19415.876,44935.744,51146.062,8031.4,21456.139,18800.356,7280.696 "PostgreSQL - CPU Power Consumption Monitor (Watts)",LIB,302.76,544.97,271.55,487.56,311.81,563.23,316.32,578.23,468.46,239.92,584.31,355.49,271.07,495.05,253.4,404.84,138.72,121.21,244.42,127.3,153.46,276.72 "PostgreSQL - CPU Power Consumption Monitor (Watts)",LIB,299.36,519.08,275.46,361.27,311.42,553.8,315.59,561.38,454.63,239.87,483.2,299.03,254.31,431.32,207.74,361.97,135.16,110.68,242.14,150.61,172.92,262.99 "ClickHouse - CPU Power Consumption Monitor (Watts)",LIB,205.71,396.39,176.29,340.3,238.9,469.37,241.61,466.07,282.88,174.43,314,160.48,138.04,280.91,109.76,230.4,82.96,76.83,157.43,77.27,84.55,164.81 "ClickHouse - 100M Rows Hits Dataset, Third Run (Queries/min, Geo Mean/Watt)",HIB,2.341,1.265,2.599,1.289,1.967,1.068,1.974,1.012,1.043,1.966,1.676,3.709,4.053,1.87,4.182,1.857,4.085,4.366,2.038,4.917,4.737,2.049 "Apache IoTDB - CPU Power Consumption Monitor (Watts)",LIB,216.73,425.12,171.59,337.01,249.87,494.07,254.04,495.29,305.48,176.97,298.36,157,138.03,264.94,110.92,220.99,82.51,76.32,186.81,80.98,87.52,192.21 "Apache IoTDB - CPU Power Consumption Monitor (Watts)",LIB,204.83,422.43,159.48,329.73,242.09,485.64,245.7,492.49,293.48,163.52,291.76,141.12,122.12,254.51,100.77,215.97,72.92,68.28,182.78,76.38,82.74,192.34 "John The Ripper - CPU Power Consumption Monitor (Watts)",LIB,297.81,628.83,311.42,619.88,252.7,532.41,277.33,597.63,489.17,243.89,719.09,362.14,318.91,645.56,348.48,688.39,159.97,132.61,417.06,198.18,257.31,519.11 "John The Ripper - Test: WPA PSK (Real C/S/Watt)",HIB,1347.41,1261.475,1374.722,1285.88,1133.974,1057.218,1204.614,1100.827,1004.94,1017.122,1799.495,1853.75,2017.719,1941.48,2304.833,2253.096,2414.267,2563.928,881.552,953.294,815.371,784.52 "John The Ripper - Test: bcrypt (Real C/S/Watt)",HIB,305.824,292.685,342.684,334.528,256.345,241.559,273.696,256.68,231.512,233.71,523.956,531.63,606.473,573.886,759.599,705.604,749.166,920.407,816.033,885.933,746.758,712.792 "John The Ripper - CPU Power Consumption Monitor (Watts)",LIB,308.91,627.31,308.68,618.12,264.78,553.66,288.1,607.6,489.04,243.63,709.94,362.61,274.61,556.51,290.55,584.92,135.67,101.56,444.03,214.8,282.96,564.37 "John The Ripper - Test: Blowfish (Real C/S/Watt)",HIB,305.954,291.558,339.84,332.346,257.143,243.04,274.735,258.82,231.635,233.582,527.638,531.077,605.492,568.709,757.826,711.796,753.262,805.428,818.185,885.523,747.264,720.563 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,337.59,685.93,339.43,684.71,283.74,591.08,311.09,648.38,529.37,264.65,801.95,401.15,330.48,672.12,360.05,727.96,164.05,139.18,447.17,211.59,277.13,565.2 "OpenSSL - Algorithm: ChaCha20-Poly1305 (byte/s/Watt)",HIB,666607882.232,644676877.167,658820863.842,648595124.994,568545794.248,542055990.773,603664493.394,574875604.572,554436256.618,552257367.632,957228032.133,957073830.822,1061980440.863,1039886433.305,1269363721.237,1244610923.327,1287300050.021,1388893901.1,536427227.193,569925760.918,483646931.537,471667041.653 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,323.5,666.88,341.17,681.84,279.08,580.95,309.29,617.86,528.62,264.55,802.61,400.2,333.21,676.63,365.67,734.92,168.33,140.34,438.73,205.47,269.68,550.19 "OpenSSL - Algorithm: ChaCha20 (byte/s/Watt)",HIB,977212174.268,936302176.041,1008751851.933,1003586866.34,811931853.539,774438543.705,852735838.292,846331621.988,804835329.471,802490465.578,1353849347.71,1361592598.325,1510491450.863,1480134319.021,1795036060.876,1778324265.615,1824186596.162,2009755510.332,804207062.623,862670148.374,730208953.757,712317847.215 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,341.81,685.37,341.83,682.81,307.21,637.41,330.83,676.75,529.73,264.83,801.19,400.94,329.31,667.48,345.26,697.23,165.11,139.04,491.39,245.57,323.62,648.54 "OpenSSL - Algorithm: AES-256-GCM (byte/s/Watt)",HIB,2048623453.067,1998240264.777,2177657519.609,2193171119.606,1651813451.146,1587520126.44,1789501537.543,1745319585.655,1345006115.812,1344485766.049,2139406659.572,2144285710.422,2331206946.711,2286984508.787,2889219779.917,2844279712.451,2800094011.975,2991193842.104,1993158291.384,2061752146.929,1758065363.324,1735227671.897 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,329.5,673.67,342.1,683.16,315.01,649.22,337.66,684.67,529.01,264.55,802.39,401.21,334.06,676.55,348.22,703.84,167.37,140.35,491.31,245.4,324.08,648.42 "OpenSSL - Algorithm: AES-128-GCM (byte/s/Watt)",HIB,2333237948.273,2275619248.607,2600338214.728,2589909503.867,2035473064.321,1967868118.176,2214398499.057,2168460340.433,1525932773.144,1510207805.118,2480518885.864,2482510440.025,2686039538.134,2638396951.998,3351926704.37,3291374680.153,3225126995.217,3483917754.1,2230951841.303,2305290901.873,1970077384.371,1953802430.199 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,341.09,686.01,341.79,684.47,299.98,626.29,330.77,677.46,525.18,264.79,800.66,400.14,308.23,626.99,334.48,676.44,157.87,133.8,491.84,244.72,323.63,646.95 "OpenSSL - Algorithm: SHA512 (byte/s/Watt)",HIB,65144677.296,62457308.503,69884736.571,67966151.085,54000562.667,51580447.521,57121711.228,55449110.374,42041804.183,41470367.425,114225793.097,114623223.179,128564080.982,125714359.157,157697655.074,154893248.591,154425638.145,165874523.259,159806130.438,165922834.04,139323873.721,137868745.001 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,326.01,663.83,341.03,683.42,282.15,591.26,309.57,642.97,527.27,264.5,802.07,400.88,327.28,665.36,334.62,678.72,159,132.64,443.24,212.71,278.96,565.33 "OpenSSL - Algorithm: SHA256 (byte/s/Watt)",HIB,189585676.929,179424218.788,195213927.957,193109819.083,157500377.521,149911179.445,167457577.179,160789835.778,103421352.659,105324899.054,344443539.202,345260515.928,386445411.79,378210579.188,481947170.761,471857277.56,469088919.271,511227929.805,578313018.503,611047359.481,516781889.876,507731880.451 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,335.05,686.36,342.08,686.24,302.47,629.88,326.8,669.72,528.71,265.1,784.12,391.59,291.95,605.29,320.74,654.68,154.87,122.85,369.51,173.05,221.12,456.73 "OpenSSL - Algorithm: RSA4096 (verify/s/Watt)",HIB,2907.569,2791.77,3030.658,2997.545,2306.661,2215.41,2489.804,2430.792,2079.561,2215.622,4099.327,4121.234,4919.81,4728.284,5836.731,5696.67,5691.681,6595.71,4004.977,4295.142,3735.678,3600.275 "Timed ImageMagick Compilation - CPU Power Consumption Monitor (Watts)",LIB,186.22,362.03,162.46,295.33,220.79,435.59,220.24,429.23,252.21,152.46,273.56,139.23,120.39,245.77,97.43,204.88,69.48,65.12,137.3,69.56,74.98,143.22 "Timed Mesa Compilation - CPU Power Consumption Monitor (Watts)",LIB,172.35,374.89,176.64,324.23,232.74,446.38,228.31,442.47,266.43,166.64,287.81,153.28,132.61,251.26,109.13,215.57,79,73.01,137.28,71.87,79.63,146.41 "Timed LLVM Compilation - CPU Power Consumption Monitor (Watts)",LIB,298.24,544.93,291.41,519.72,314.74,591.84,311.03,582.56,438.51,243.86,491.18,289.22,241.32,427.31,221.05,382.15,134,117.14,248.44,148.04,172.6,281.29 "Timed Gem5 Compilation - CPU Power Consumption Monitor (Watts)",LIB,228.11,415.56,215.42,377.81,257.31,479.92,254.21,472.13,327.07,194.29,360.36,201.66,170.81,320.45,144.58,270.24,96.65,87.52,164.39,90.66,103.5,178.9 "Timed Node.js Compilation - CPU Power Consumption Monitor (Watts)",LIB,305.63,555.35,295.74,529.15,318.88,601.52,317.34,584.7,455.83,248.06,490.25,289.15,242.47,430.05,210.13,361.3,134.67,118.09,256.25,148.97,170.44,287.54 "Timed Godot Game Engine Compilation - CPU Power Consumption Monitor (Watts)",LIB,255.97,461.39,236.2,430.41,285.63,527.95,282.51,519.6,352.55,217.11,383.39,222.04,188.63,338.4,152.32,276.98,110.14,97.75,184.93,109.04,124.67,202.24 "Timed FFmpeg Compilation - CPU Power Consumption Monitor (Watts)",LIB,220.08,400.67,198.27,348.01,250.86,470.97,251.37,467.2,301.65,184.1,314.5,171.98,151.49,281.94,124.42,238.4,90.17,81.55,158.14,88.1,101.96,172.28 "Timed Linux Kernel Compilation - CPU Power Consumption Monitor (Watts)",LIB,323.36,610.89,317.64,585.62,330.93,639.43,330.36,634.18,491.75,256.23,621.64,348.42,282.28,525.29,262.8,484.57,150.79,129.6,339.12,201.59,255.14,416.56 "Timed Linux Kernel Compilation - CPU Power Consumption Monitor (Watts)",LIB,234.11,425.97,214.95,384.63,265.23,492.26,260.34,486.28,340.2,197.71,375.56,210.93,175.53,317.6,155.1,283.46,97.22,87.28,183.63,106.04,123.43,202.81

2024 Server CPUs