AMD EPYC Zen 4C power efficiency benchmarks by Michael Larabel for a future article.

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AMD EPYC Zen 4C Power Efficiency AMD EPYC Zen 4C power efficiency benchmarks by Michael Larabel for a future article. ,,"EPYC 7601 - Zen 1","EPYC 8324P - Zen 4C","EPYC 8324P - Zen 4C, 155W","EPYC 8324PN - Zen 4C","EPYC 8534PN - Zen 4C" Processor,,AMD EPYC 7601 32-Core @ 2.20GHz (32 Cores / 64 Threads),AMD EPYC 8324P 32-Core @ 2.65GHz (32 Cores / 64 Threads),AMD EPYC 8324P 32-Core @ 2.65GHz (32 Cores / 64 Threads),AMD EPYC 8534PN 32-Core @ 2.05GHz (32 Cores / 64 Threads),AMD EPYC 8534PN 64-Core @ 2.00GHz (64 Cores / 128 Threads) Motherboard,,TYAN B8026T70AE24HR (V1.02.B10 BIOS),AMD Cinnabar (RCB1009C BIOS),AMD Cinnabar (RCB1009C BIOS),AMD Cinnabar (RCB1009C BIOS),AMD Cinnabar (RCB1009C BIOS) Chipset,,AMD 17h,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4 Memory,,8 x 16 GB 2667MT/s Samsung M393A2K40BB2-CTD,6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG,6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG,6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG,6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG Disk,,1000GB INTEL SSDPE2KX010T8 + 280GB INTEL SSDPE21D280GA,1000GB INTEL SSDPE2KX010T8,1000GB INTEL SSDPE2KX010T8,1000GB INTEL SSDPE2KX010T8,1000GB INTEL SSDPE2KX010T8 Graphics,,ASPEED,llvmpipe,ASPEED,llvmpipe,llvmpipe Monitor,,VE228,,,, Network,,2 x Broadcom NetXtreme BCM5720 PCIe,2 x Broadcom NetXtreme BCM5720 PCIe,2 x Broadcom NetXtreme BCM5720 PCIe,2 x Broadcom NetXtreme BCM5720 PCIe,2 x Broadcom NetXtreme BCM5720 PCIe OS,,Ubuntu 23.10,Ubuntu 23.10,Ubuntu 23.10,Ubuntu 23.10,Ubuntu 23.10 Kernel,,6.6.9-060609-generic (x86_64),6.6.9-060609-generic (x86_64),6.6.9-060609-generic (x86_64),6.6.9-060609-generic (x86_64),6.6.9-060609-generic (x86_64) Desktop,,GNOME Shell 45.0,GNOME Shell 45.0,GNOME Shell 45.0,GNOME Shell 45.0,GNOME Shell 45.0 Display Server,,X Server 1.21.1.7,X Server 1.21.1.7,X Server 1.21.1.7,X Server 1.21.1.7,X Server 1.21.1.7 OpenGL,,4.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits),4.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits),,4.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits),4.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits) Compiler,,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 Screen Resolution,,1920x1080,1920x1200,1920x1200,1920x1200,1920x1200 ,,"EPYC 7601 - Zen 1","EPYC 8324P - Zen 4C","EPYC 8324P - Zen 4C, 155W","EPYC 8324PN - Zen 4C","EPYC 8534PN - Zen 4C" "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,123746,240083,228957,212458,332922 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,133490,211187,200034,179072,343946 "7-Zip Compression - Test: Decompression Rating (MIPS/Watt)",HIB,846.161,2150.101,2334.057,2439.42,3105.297 "7-Zip Compression - CPU Power Consumption Monitor (Watts)",LIB,157.76,98.22,85.7,73.41,110.76 "ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,3.886776,11.645616,11.434849,11.517272,21.138819 "ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s/Watt)",HIB,0.025,0.133,0.14,0.17,0.24 "ACES DGEMM - CPU Power Consumption Monitor (Watts)",LIB,154.85,87.29,81.53,67.88,88.07 "Apache Cassandra - Test: Writes (Op/s)",HIB,150277,223293,224034,212207,244177 "Apache Cassandra - Test: Writes (Op/s/Watt)",HIB,977.625,2451.594,2447.895,2829.245,2486.662 "Apache Cassandra - CPU Power Consumption Monitor (Watts)",LIB,153.72,91.08,91.52,75,98.19 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 (point/sec)",HIB,51950735,80321359,70294901,77285152,82731495 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 (Latency)",LIB,86.19,57.21,62.60,58.92,54.71 "Apache IoTDB - CPU Power Consumption Monitor (Watts)",LIB,113.63,54.65,55.6,49.06,55.7 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,72.43,47.50,52.02,58.20,30.57 "Blender - CPU Power Consumption Monitor (Watts)",LIB,169.3,103.96,95.1,80,114.48 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,191.71,119.58,130.67,146.90,76.32 "Blender - CPU Power Consumption Monitor (Watts)",LIB,174.03,109.68,99.43,83.14,124.25 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,101.10,59.64,65.03,72.96,38.66 "Blender - CPU Power Consumption Monitor (Watts)",LIB,170.33,107.95,96.74,82.66,119.8 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,246.71,148.76,161.95,182.47,95.44 "Blender - CPU Power Consumption Monitor (Watts)",LIB,174.75,113.08,100.49,85.42,127.76 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,765.20,426.62,463.27,518.21,267.58 "Blender - CPU Power Consumption Monitor (Watts)",LIB,175.31,115.42,103.77,86.74,135.09 "Chaos Group V-RAY - Mode: CPU (vsamples)",HIB,19914,33510,31536,28177,54204 "Chaos Group V-RAY - Mode: CPU (vsamples/Watt)",HIB,136.756,351.764,361.933,377.524,487.435 "Chaos Group V-RAY - CPU Power Consumption Monitor (Watts)",LIB,145.62,95.26,87.13,74.64,111.2 "CloverLeaf - Input: clover_bm64_short (sec)",LIB,106.27,56.91,57.04,57.52,57.42 "CloverLeaf - CPU Power Consumption Monitor (Watts)",LIB,146.39,99.21,98.33,91.05,115.82 "CloverLeaf - Input: clover_bm16 (sec)",LIB,954.73,489.47,489.04,492.50,496.55 "CloverLeaf - CPU Power Consumption Monitor (Watts)",LIB,148.58,107.42,107.71,99.07,127.08 "CPU Power Consumption Monitor - Phoronix Test Suite System Monitoring (Watts)",,143.24,88.61,82.06,71.8,97.94 "DuckDB - Benchmark: IMDB (sec)",LIB,198.940,121.485,122.143,123.667,127.201 "DuckDB - CPU Power Consumption Monitor (Watts)",LIB,99.67,66.4,65.16,61.58,66.57 "DuckDB - Benchmark: TPC-H Parquet (sec)",LIB,249.189,182.775,181.394,182.934,178.698 "DuckDB - CPU Power Consumption Monitor (Watts)",LIB,79.07,51.12,51,49.7,52.87 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 (sec)",LIB,152.337,42.089,41.996,42.257,39.330 "easyWave - CPU Power Consumption Monitor (Watts)",LIB,131.09,79.33,78.72,72.99,85.82 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 (sec)",LIB,357.692,115.288,115.253,116.031,109.827 "easyWave - CPU Power Consumption Monitor (Watts)",LIB,131.58,83.41,83.31,77.93,93.86 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,21.8421,45.5085,43.1270,39.6006,74.9268 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS/Watt)",HIB,0.135,0.434,0.498,0.522,0.753 "Embree - CPU Power Consumption Monitor (Watts)",LIB,162.38,104.98,86.56,75.93,99.53 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,18.4387,36.8917,34.2402,31.0814,59.0513 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS/Watt)",HIB,0.112,0.361,0.373,0.398,0.812 "Embree - CPU Power Consumption Monitor (Watts)",LIB,165.15,102.31,91.77,78.15,72.7 "FFmpeg - Encoder: libx265 - Scenario: Live (FPS)",HIB,58.09,109.84,109.71,109.77,115.11 "FFmpeg - Encoder: libx265 - Scenario: Live (FPS/Watt)",HIB,0.704,1.988,1.977,2.04,2.005 "FFmpeg - CPU Power Consumption Monitor (Watts)",LIB,82.52,55.25,55.5,53.8,57.4 "FFmpeg - Encoder: libx265 - Scenario: Upload (FPS)",HIB,10.40,22.24,22.25,22.24,23.31 "FFmpeg - Encoder: libx265 - Scenario: Upload (FPS/Watt)",HIB,0.123,0.396,0.391,0.405,0.404 "FFmpeg - CPU Power Consumption Monitor (Watts)",LIB,84.51,56.16,56.98,54.98,57.73 "FFmpeg - Encoder: libx265 - Scenario: Platform (FPS)",HIB,21.02,45.01,45.12,45.03,47.03 "FFmpeg - Encoder: libx265 - Scenario: Platform (FPS/Watt)",HIB,0.241,0.753,0.745,0.769,0.766 "FFmpeg - CPU Power Consumption Monitor (Watts)",LIB,87.13,59.77,60.53,58.56,61.4 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS)",HIB,21.00,45.07,45.06,44.99,47.08 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS/Watt)",HIB,0.241,0.753,0.744,0.769,0.765 "FFmpeg - CPU Power Consumption Monitor (Watts)",LIB,86.99,59.82,60.54,58.51,61.54 "GPAW - Input: Carbon Nanotube (sec)",LIB,144.012,80.916,84.379,90.065,65.472 "GPAW - CPU Power Consumption Monitor (Watts)",LIB,166.77,119.88,103.8,87.64,133.51 "IndigoBench - Acceleration: CPU - Scene: Supercar (M samples/s)",HIB,8.586,13.573,12.572,11.249,21.767 "IndigoBench - Acceleration: CPU - Scene: Supercar (M samples/s/Watt)",HIB,0.051,0.122,0.13,0.137,0.194 "IndigoBench - CPU Power Consumption Monitor (Watts)",LIB,166.89,111.02,96.61,81.98,112.42 "IndigoBench - Acceleration: CPU - Scene: Bedroom (M samples/s)",HIB,3.985,6.177,5.720,5.127,9.973 "IndigoBench - Acceleration: CPU - Scene: Bedroom (M samples/s/Watt)",HIB,0.024,0.055,0.058,0.061,0.098 "IndigoBench - CPU Power Consumption Monitor (Watts)",LIB,165.84,112.48,98.87,83.56,101.66 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,0.48,1.11,1.03,0.93,1.71 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec/Watt)",HIB,0.003,0.012,0.012,0.013,0.017 "Intel Open Image Denoise - CPU Power Consumption Monitor (Watts)",LIB,165.03,95.95,85.62,72.92,101.21 "Kripke - (Throughput FoM)",HIB,181795967,268773267,258716167,247500133,288394300 "Kripke - (Throughput FoM/Watt)",HIB,1133698.867,2566916.468,2674408.734,2943707.257,2490692.281 "Kripke - CPU Power Consumption Monitor (Watts)",LIB,160.36,104.71,96.74,84.08,115.79 "LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day)",HIB,13.781,18.407,17.423,15.690,25.715 "LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day/Watt)",HIB,0.08,0.167,0.181,0.192,0.201 "LAMMPS Molecular Dynamics Simulator - CPU Power Consumption Monitor (Watts)",LIB,172.35,110.02,96.46,81.74,128 "Llama.cpp - Model: llama-2-7b.Q4_0.gguf (Tokens/sec)",HIB,4.20,29.72,29.38,28.56, "Llama.cpp - Model: llama-2-7b.Q4_0.gguf (Tokens/sec/Watt)",HIB,0.032,0.32,0.33,0.346, "Llama.cpp - CPU Power Consumption Monitor (Watts)",LIB,132.4,92.91,89.09,82.44, "Llama.cpp - Model: llama-2-13b.Q4_0.gguf (Tokens/sec)",HIB,2.49,17.93,17.09,17.06, "Llama.cpp - Model: llama-2-13b.Q4_0.gguf (Tokens/sec/Watt)",HIB,0.019,0.174,0.179,0.186, "Llama.cpp - CPU Power Consumption Monitor (Watts)",LIB,132.73,103.08,95.63,91.51, "Llama.cpp - Model: llama-2-70b-chat.Q5_0.gguf (Tokens/sec)",HIB,0.46,3.43,2.93,3.11, "Llama.cpp - Model: llama-2-70b-chat.Q5_0.gguf (Tokens/sec/Watt)",HIB,0.003,0.027,0.028,0.031, "Llama.cpp - CPU Power Consumption Monitor (Watts)",LIB,134.92,126.42,103.99,101.14, "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (GFInst/s)",HIB,358.254,1528.848,1427.412,1278.030,2491.165 "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (Billion Interactions/s)",HIB,14.330,61.154,57.096,51.121,99.647 "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (Billion Interactions/s/Watt)",HIB,0.087,0.684,0.718,0.746,1.087 "miniBUDE - CPU Power Consumption Monitor (Watts)",LIB,164.93,89.46,79.54,68.54,91.71 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (GFInst/s)",HIB,355.990,1532.274,1425.324,1276.472,2489.197 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (Billion Interactions/s)",HIB,14.240,61.291,57.013,51.059,99.568 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (Billion Interactions/s/Watt)",HIB,0.084,0.57,0.606,0.645,0.826 "miniBUDE - CPU Power Consumption Monitor (Watts)",LIB,169.53,107.51,94.14,79.22,120.51 "NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,0.97282,0.67728,0.73558,0.82790,0.43200 "NAMD - CPU Power Consumption Monitor (Watts)",LIB,165.28,106.41,94.83,80.88,118.08 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,246.6440,818.3145,752.5874,674.9294,1287.8778 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,64.7981,19.5341,21.2407,23.6852,24.8184 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,139.04,81.26,73.68,64.56,79.64 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,84.4287,181.2320,169.5628,152.2068,281.4898 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,189.3186,88.1549,94.2013,104.8987,113.4506 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,148.03,87.67,78.54,67.53,99.4 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,138.0333,266.9567,254.3028,229.5350,429.3270 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,115.7775,59.8698,62.8155,69.6037,74.4270 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,156.53,96.94,80.2,67.83,101.03 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,10.4527,21.0230,19.6390,17.7641,32.1554 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,1501.6051,751.6244,803.8219,892.1039,982.6109 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,140.6,89.95,80.88,69.41,86.81 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,68.1629,122.3679,114.6161,103.4399,191.0676 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,234.0212,130.4161,139.1784,154.2821,166.9491 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,156.97,91.94,82.56,70.84,106.43 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,68.9537,122.9256,115.4212,104.1306,192.0616 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,231.4035,129.8432,138.2263,153.3968,166.0267 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,156.49,91.03,82.46,69.76,105.49 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,10.3364,21.0044,19.7530,17.6664,32.1461 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,1515.6792,752.5121,801.1901,894.1956,982.3298 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,140.67,88.76,80.15,69.65,101.88 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,8.5097,38.8202,35.7929,32.1289,56.8419 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,1840.9494,410.4658,443.4299,493.9887,556.1457 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,141.98,89.23,81.2,69.77,103.72 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,138.5291,266.9856,254.1307,229.9123,429.3603 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,115.3465,59.8723,62.8813,69.5078,74.4102 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,152.9618,2193.0906,2099.3246,1906.3870,3450.4334 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,104.4436,7.2816,7.6064,8.3745,9.2520 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,159.12,93.1,76.96,66.53,96.82 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,12.2244,25.8368,24.4736,21.9096,40.6410 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,1289.8227,611.1481,647.8855,722.1041,776.5434 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,109.57,71.44,66.98,60.32,80.09 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,128.6692,383.7004,357.2953,320.8637,613.2269 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,124.0928,41.6397,44.7159,49.7973,52.1235 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,138.67,81.73,74.09,64.93,92.34 "nginx - Connections: 500 (Reqs/sec)",HIB,94936.99,164234.98,149458.34,136660.96,229161.91 "nginx - Connections: 500 (Reqs/sec/Watt)",HIB,561.576,1355.864,1536.379,1656.124,1802.108 "nginx - CPU Power Consumption Monitor (Watts)",LIB,169.05,121.13,97.28,82.52,127.16 "nginx - Connections: 1000 (Reqs/sec)",HIB,90952.15,166799.14,151923.62,139259.26,232146.41 "nginx - Connections: 1000 (Reqs/sec/Watt)",HIB,540.026,1365.651,1532.614,1663.274,1785.713 "nginx - CPU Power Consumption Monitor (Watts)",LIB,168.42,122.14,99.13,83.73,130 "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Execution Time (sec)",LIB,122.25778,73.513388,75.250702,82.15286,58.610212 "OpenFOAM - CPU Power Consumption Monitor (Watts)",LIB,164.42,115.11,97.02,81.82,95.45 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Mesh Time (sec)",LIB,229.49406,153.15408,163.04119,172.68566,184.16204 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Execution Time (sec)",LIB,1164.3926,763.50167,779.50949,793.87207,687.42305 "OpenFOAM - CPU Power Consumption Monitor (Watts)",LIB,159.89,117.54,107.92,96.64,134.22 "OpenRadioss - Model: Chrysler Neon 1M (sec)",LIB,498.23,381.88,382.57,391.36,300.62 "OpenRadioss - CPU Power Consumption Monitor (Watts)",LIB,156.73,109.58,107.2,93.26,125.66 "OpenSSL - Algorithm: RSA4096 (sign/s)",HIB,4497.1,15040.7,13565.8,11909.2,21064.1 "OpenSSL - Algorithm: RSA4096 (verify/s)",HIB,292445.3,457516.3,457514.1,430171.6,828697.4 "OpenSSL - Algorithm: RSA4096 (verify/s/Watt)",HIB,1719.964,4477.071,5076.365,5622.232,7110.604 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,170.03,102.19,90.13,76.51,116.54 "OpenSSL - Algorithm: SHA256 (byte/s)",HIB,27015393267,43033082363,40200353400,35795826073,69910430987 "OpenSSL - Algorithm: SHA256 (byte/s/Watt)",HIB,155415474.323,387067179.889,416875314.973,436238930.852,546243197.783 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,173.83,111.18,96.43,82.06,127.98 "OpenSSL - Algorithm: SHA512 (byte/s)",HIB,8355425337,13803340747,12993940737,11644867590,22697266207 "OpenSSL - Algorithm: SHA512 (byte/s/Watt)",HIB,47835855.203,122734575.986,132126423.399,142108901.03,175273393.288 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,174.67,112.46,98.34,81.94,129.5 "OpenSSL - Algorithm: AES-128-GCM (byte/s)",HIB,97707034820,308207308437,281191878567,251415558370,493434496250 "OpenSSL - Algorithm: AES-128-GCM (byte/s/Watt)",HIB,559684188.569,2612982097.088,2743728420.226,2927424070.202,3626240465.696 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,174.58,117.95,102.49,85.88,136.07 "OpenSSL - Algorithm: AES-256-GCM (byte/s)",HIB,89976610817,265303113457,242830526873,216435660207,424400038207 "OpenSSL - Algorithm: AES-256-GCM (byte/s/Watt)",HIB,516298912.201,2258891761.215,2396310835.774,2539685896.319,3123938397.229 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,174.27,117.45,101.34,85.22,135.85 "OpenSSL - Algorithm: ChaCha20 (byte/s)",HIB,47935580060,159447675517,159431008620,147602077650,284696293373 "OpenSSL - Algorithm: ChaCha20 (byte/s/Watt)",HIB,280245644.355,1370606684.976,1474962096.065,1694474523.218,2095501066.495 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,171.05,116.33,108.09,87.11,135.86 "OpenSSL - Algorithm: ChaCha20-Poly1305 (byte/s)",HIB,30341046637,113105892877,112344083843,101065023123,196012573853 "OpenSSL - Algorithm: ChaCha20-Poly1305 (byte/s/Watt)",HIB,177417166.496,947613075.915,1067969605.529,1181271903.827,1450412054.662 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,171.02,119.36,105.19,85.56,135.14 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,3.81,31.25,28.58,25.41,49.43 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,2096.01,510.71,558.29,627.46,644.80 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,149.23,104.31,94.12,78.51,120.17 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,13039.70,52709.19,49194.55,43375.55,71960.41 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,2.44,0.47,0.51,0.57,0.61 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,158.22,108.3,95.14,79.74,120.8 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,42.43,150.74,144.27,131.24,202.29 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,188.25,106.00,110.77,121.74,157.93 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,166.88,116.45,101.96,87.04,135.45 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,376.97,3102.13,2851.01,2520.77,4878.00 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,84.77,10.20,11.12,12.58,12.97 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,150.93,104.99,93.22,79.51,123.46 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,296.42,1860.65,1710.42,1527.32,2816.09 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,26.96,8.52,9.29,10.39,11.24 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,153.24,106.55,94.19,80.57,128.75 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,464.48,1701.18,1563.36,1424.53,2547.73 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,17.20,9.34,10.18,11.15,12.47 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,165.89,110.53,97.96,82.1,123.52 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,38.63,194.71,180.32,163.09,295.61 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,206.72,82.00,88.55,97.91,108.06 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,165.69,113.09,101.92,84.95,131.69 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,878.71,5418.92,4977.13,4405.62,8310.71 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,9.09,5.77,6.3,7.13,7.52 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,151.02,105.87,94.19,80.06,126.58 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,188.86,688.60,621.82,555.71,1086.68 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,169.21,46.39,51.41,57.50,58.78 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,168.08,106.71,95.92,80.66,129.33 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,149.01,633.21,579.34,520.24,934.59 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,53.64,25.21,27.56,30.69,34.14 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,153.77,103.96,92.62,78.99,124.73 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,2.59961,9.14257,8.78898,7.97910,15.0596 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec/Watt)",HIB,0.017,0.086,0.099,0.106,0.134 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,154.54,105.72,88.92,75.35,112.5 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec)",HIB,2.45276,8.83622,8.45634,7.66532,14.6131 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec/Watt)",HIB,0.016,0.083,0.095,0.101,0.13 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,155.24,106.38,89.24,75.52,112.66 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,4.14655,10.4939,9.87373,8.89361,16.8954 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec/Watt)",HIB,0.026,0.107,0.113,0.119,0.151 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,158.4,98.06,87.12,74.93,111.92 "OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,5.28576,8.79773,8.75784,8.13231,14.9086 "OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec/Watt)",HIB,0.031,0.083,0.091,0.105,0.127 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,170.26,106.54,95.93,77.24,117.12 "OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,5.22927,8.77043,8.75896,8.14358,14.8549 "OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec/Watt)",HIB,0.034,0.093,0.1,0.111,0.142 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,155.54,94,87.26,73.4,104.35 "OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,98.8969,147.253,147.281,147.220,164.205 "OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec/Watt)",HIB,0.651,1.501,1.721,1.96,1.46 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,151.89,98.09,85.6,75.11,112.45 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,8452,3493,3787,4222,2146 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,144.08,94.54,85.34,73.93,106.94 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,145560,62633,67153,74023,40603 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,157.28,91.99,85.93,74.89,98.27 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,281137,118514,128154,142160,74752 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,165.82,103.11,92.46,79.68,111.91 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,10054,4152,4493,5004,2544 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,144.51,96.2,85.96,74.5,108.61 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,170871,73127,78610,86678,47472 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,159.86,96.86,87.51,76.19,101.8 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,331945,139737,150410,167209,87860 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,167.12,105.59,94.05,80.77,115.14 "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec)",HIB,24.89,52.72,52.91,52.90,45.23 "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec/Watt)",HIB,0.162,0.784,0.781,0.807,0.552 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,153.64,67.28,67.79,65.58,81.98 "PyTorch - Device: CPU - Batch Size: 256 - Model: ResNet-50 (batches/sec)",HIB,20.48,40.59,40.54,40.36,36.23 "PyTorch - Device: CPU - Batch Size: 256 - Model: ResNet-50 (batches/sec/Watt)",HIB,0.127,0.527,0.519,0.538,0.389 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,161.62,77.08,78.04,74.96,93.21 "QuantLib - Configuration: Multi-Threaded (MFLOPS)",HIB,64469.4,98717.2,90654.1,80175.3,154830.9 "QuantLib - Configuration: Multi-Threaded (MFLOPS/Watt)",HIB,384.043,945.621,967.967,1007.581,1273.591 "QuantLib - CPU Power Consumption Monitor (Watts)",LIB,167.87,104.39,93.65,79.57,121.57 "Quicksilver - Input: CORAL2 P1 (Figure Of Merit)",HIB,13030000,18880000,18950000,18273333,21233333 "Quicksilver - Input: CORAL2 P1 (Figure Of Merit/Watt)",HIB,87231.317,208439.278,208244.589,243826.724,195063.316 "Quicksilver - CPU Power Consumption Monitor (Watts)",LIB,149.37,90.58,91,74.94,108.85 "Quicksilver - Input: CTS2 (Figure Of Merit)",HIB,11443333,14313333,14376667,14030000,16300000 "Quicksilver - Input: CTS2 (Figure Of Merit/Watt)",HIB,72917.479,156624.763,156169.025,171302.448,144074.418 "Quicksilver - CPU Power Consumption Monitor (Watts)",LIB,156.94,91.39,92.06,81.9,113.14 "rav1e - Speed: 10 (FPS)",HIB,6.995,11.790,11.818,11.824,12.186 "rav1e - Speed: 10 (FPS/Watt)",HIB,0.079,0.222,0.221,0.226,0.223 "rav1e - CPU Power Consumption Monitor (Watts)",LIB,88.54,53.05,53.57,52.32,54.63 "rav1e - Speed: 6 (FPS)",HIB,2.963,4.706,4.731,4.727,4.868 "rav1e - Speed: 6 (FPS/Watt)",HIB,0.032,0.089,0.088,0.09,0.09 "rav1e - CPU Power Consumption Monitor (Watts)",LIB,93.25,53.07,54.04,52.36,54.17 "Redis 7.0.12 + memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,1277853.47,2842511.46,2789711.34,2562876.16,2568868.49 "Redis 7.0.12 + memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 (Ops/sec/Watt)",HIB,7946.043,32673.791,37066.246,41473.464,28227.251 "Redis 7.0.12 + memtier_benchmark - CPU Power Consumption Monitor (Watts)",LIB,160.82,87,75.26,61.8,91.01 "Redis 7.0.12 + memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 (Ops/sec)",HIB,1159654.33,2795965.05,2720321.30,2500035.09,2513019.32 "Redis 7.0.12 + memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 (Ops/sec/Watt)",HIB,7148.894,32252.276,36173.118,39908.906,27624.534 "Redis 7.0.12 + memtier_benchmark - CPU Power Consumption Monitor (Watts)",LIB,162.21,86.69,75.2,62.64,90.97 "RocksDB - Test: Random Read (Op/s)",HIB,84616408,161678876,147721769,131206830,248969387 "RocksDB - Test: Random Read (Op/s/Watt)",HIB,499648.821,1613507.122,1652219.584,1742913.89,2230797.087 "RocksDB - CPU Power Consumption Monitor (Watts)",LIB,169.35,100.2,89.41,75.28,111.61 "RocksDB - Test: Read While Writing (Op/s)",HIB,3463695,4394310,4301343,4107313,6688089 "RocksDB - Test: Read While Writing (Op/s/Watt)",HIB,20446.351,38762.717,43556.264,51316.286,57031.639 "RocksDB - CPU Power Consumption Monitor (Watts)",LIB,169.4,113.36,98.75,80.04,117.27 "Speedb - Test: Random Read (Op/s)",HIB,85990445,163771762,147991555,132248192,248842616 "Speedb - Test: Random Read (Op/s/Watt)",HIB,505924.526,1624547.005,1658329.329,1749308.714,2534080.332 "Speedb - CPU Power Consumption Monitor (Watts)",LIB,169.97,100.81,89.24,75.6,98.2 "Speedb - Test: Read While Writing (Op/s)",HIB,5954251,7290610,7162203,6934544,12585315 "Speedb - Test: Read While Writing (Op/s/Watt)",HIB,35300.6,64987.071,74216.652,88296.453,108503.021 "Speedb - CPU Power Consumption Monitor (Watts)",LIB,168.67,112.19,96.5,78.54,115.99 "Speedb - Test: Read Random Write Random (Op/s)",HIB,1447819,2233744,2133311,1982257,2272026 "Speedb - Test: Read Random Write Random (Op/s/Watt)",HIB,9121.909,20899.632,22326.889,25808.681,20292.363 "Speedb - CPU Power Consumption Monitor (Watts)",LIB,158.72,106.88,95.55,76.81,111.96 "Speedb - Test: Update Random (Op/s)",HIB,203823,317250,317634,305729,349745 "Speedb - Test: Update Random (Op/s/Watt)",HIB,1640.495,4050.076,4047.082,4423.418,3874.585 "Speedb - CPU Power Consumption Monitor (Watts)",LIB,124.24,78.33,78.48,69.12,90.27 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,70.773,182.260,175.746,167.163,190.887 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS/Watt)",HIB,0.726,3.665,3.666,3.739,3.924 "SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,97.48,49.73,47.94,44.45,48.65 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,26.753,58.000,55.717,51.537,64.336 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS/Watt)",HIB,0.215,0.826,0.855,0.882,0.965 "SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,124.31,70.19,65.2,58.46,66.7 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,3.065,5.911,5.816,5.551,6.556 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS/Watt)",HIB,0.024,0.08,0.082,0.091,0.09 "SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,125.14,74.26,70.54,61.27,72.93 "TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,8.77,51.70,51.03,47.77,48.56 "TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec/Watt)",HIB,0.068,0.553,0.551,0.584,0.519 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,129.38,93.54,92.61,81.85,93.58 "Timed FFmpeg Compilation - Time To Compile (sec)",LIB,39.891,24.492,25.679,27.574,19.376 "Timed FFmpeg Compilation - CPU Power Consumption Monitor (Watts)",LIB,131.98,76.7,72.32,65.1,76.17 "Timed Gem5 Compilation - Time To Compile (sec)",LIB,394.619,263.533,266.951,295.060,230.990 "Timed Gem5 Compilation - CPU Power Consumption Monitor (Watts)",LIB,132.06,81.51,76.82,68.37,80.38 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,76.196,52.144,54.798,58.519,44.423 "Timed Linux Kernel Compilation - CPU Power Consumption Monitor (Watts)",LIB,131.73,78.45,73.96,66.25,80.72 "Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,752.603,449.986,487.576,539.240,341.477 "Timed Linux Kernel Compilation - CPU Power Consumption Monitor (Watts)",LIB,169.3,110.33,98.23,84.8,123.12 "Timed LLVM Compilation - Build System: Ninja (sec)",LIB,435.252,258.219,274.946,300.444,190.992 "Timed LLVM Compilation - CPU Power Consumption Monitor (Watts)",LIB,161.3,104.41,93.74,80.86,111.72 "Timed LLVM Compilation - Build System: Unix Makefiles (sec)",LIB,529.398,334.293,349.611,371.536,277.910 "Timed LLVM Compilation - CPU Power Consumption Monitor (Watts)",LIB,148.45,93.02,85.28,74.82,95.16 "Timed Node.js Compilation - Time To Compile (sec)",LIB,389.700,222.067,234.231,253.142,174.002 "Timed Node.js Compilation - CPU Power Consumption Monitor (Watts)",LIB,156.04,100.34,90.5,78.72,105.06 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,22.26,39.25,37.33,33.82,47.65 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS/Watt)",HIB,0.146,0.439,0.464,0.494,0.541 "uvg266 - CPU Power Consumption Monitor (Watts)",LIB,152.6,89.35,80.5,68.46,88.16 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,23.58,42.94,40.50,36.75,49.22 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS/Watt)",HIB,0.155,0.485,0.506,0.535,0.572 "uvg266 - CPU Power Consumption Monitor (Watts)",LIB,152.55,88.47,80.01,68.71,86.03 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,27.29,46.54,44.81,41.02,51.33 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS/Watt)",HIB,0.184,0.546,0.581,0.623,0.634 "uvg266 - CPU Power Consumption Monitor (Watts)",LIB,147.98,85.31,77.06,65.8,80.95 "VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,6.358,10.741,10.635,10.291,11.272 "VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS/Watt)",HIB,0.049,0.134,0.135,0.147,0.158 "VVenC - CPU Power Consumption Monitor (Watts)",LIB,129.11,80.43,78.69,69.84,71.12 "x265 - Video Input: Bosphorus 4K (FPS)",HIB,14.29,25.55,25.45,24.03,27.51 "x265 - Video Input: Bosphorus 4K (FPS/Watt)",HIB,0.112,0.343,0.342,0.39,0.362 "x265 - CPU Power Consumption Monitor (Watts)",LIB,127.97,74.59,74.36,61.61,76.07 "Xcompact3d Incompact3d - Input: input.i3d 193 Cells Per Direction (sec)",LIB,37.9889971,23.9050407,23.7732938,24.3467388,20.9756184 "Xcompact3d Incompact3d - CPU Power Consumption Monitor (Watts)",LIB,144.52,92.54,94.22,84.85,109.38 "Xcompact3d Incompact3d - Input: X3D-benchmarking input.i3d (sec)",LIB,1092.51253,608.229716,612.204793,628.844299,563.346781 "Xcompact3d Incompact3d - CPU Power Consumption Monitor (Watts)",LIB,150.35,104.53,102.88,93.37,126.57 "Xmrig - Variant: Monero - Hash Count: 1M (H/s)",HIB,4973.3,18908.9,18129.0,16892.3,20484.3 "Xmrig - Variant: Monero - Hash Count: 1M (H/s/Watt)",HIB,32.66,150.556,174.196,189.122,160.737 "Xmrig - CPU Power Consumption Monitor (Watts)",LIB,152.27,125.59,104.07,89.32,127.44 "Xmrig - Variant: Wownero - Hash Count: 1M (H/s)",HIB,9331.6,25644.3,24096.2,21769.2,35370.0 "Xmrig - Variant: Wownero - Hash Count: 1M (H/s/Watt)",HIB,57.576,219.8,233.097,247.534,265.905 "Xmrig - CPU Power Consumption Monitor (Watts)",LIB,162.07,116.36,103.37,87.94,133.02 "Xmrig - Variant: CryptoNight-Femto UPX2 - Hash Count: 1M (H/s)",HIB,5061.3,18922.7,18090.9,16799.2,20477.1 "Xmrig - Variant: CryptoNight-Femto UPX2 - Hash Count: 1M (H/s/Watt)",HIB,33.267,149.199,172.655,188.752,157.774 "Xmrig - CPU Power Consumption Monitor (Watts)",LIB,152.14,126.83,104.78,89,129.79 "Xmrig - Variant: CryptoNight-Heavy - Hash Count: 1M (H/s)",HIB,5087.4,18883.2,18155.0,16932.8,20489.8 "Xmrig - Variant: CryptoNight-Heavy - Hash Count: 1M (H/s/Watt)",HIB,33.296,148.12,173.494,190.295,157.283 "Xmrig - CPU Power Consumption Monitor (Watts)",LIB,152.79,127.49,104.64,88.98,130.27 "Xmrig - Variant: KawPow - Hash Count: 1M (H/s)",HIB,4687.9,18875.2,18088.7,16877.9,20487.2 "Xmrig - Variant: KawPow - Hash Count: 1M (H/s/Watt)",HIB,31.229,148.733,171.504,189.15,155.945 "Xmrig - CPU Power Consumption Monitor (Watts)",LIB,150.11,126.91,105.47,89.23,131.37 "Xmrig - Variant: GhostRider - Hash Count: 1M (H/s)",HIB,1042.7,4043.2,4031.7,3938.5,4374.0 "Xmrig - Variant: GhostRider - Hash Count: 1M (H/s/Watt)",HIB,7.453,41.05,40.527,50.34,35.481 "Xmrig - CPU Power Consumption Monitor (Watts)",LIB,139.9,98.5,99.48,78.24,123.28 "Y-Cruncher - Pi Digits To Calculate: 500M (sec)",LIB,15.515,5.747,6.192,6.653,5.207 "Y-Cruncher - CPU Power Consumption Monitor (Watts)",LIB,138.19,71.49,66.68,60.25,71.41 "Y-Cruncher - Pi Digits To Calculate: 1B (sec)",LIB,33.908,11.927,12.887,13.971,10.442 "Y-Cruncher - CPU Power Consumption Monitor (Watts)",LIB,150.37,85.62,77.54,69.43,88.51

AMD EPYC Zen 4C Power Efficiency