AMD EPYC Zen 4C power efficiency benchmarks by Michael Larabel for a future article.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2401147-NE-AMDEPYCZE24
AMD EPYC Zen 4C Power Efficiency
AMD EPYC Zen 4C power efficiency benchmarks by Michael Larabel for a future article.
,,"EPYC 8534PN - Zen 4C","EPYC 8324PN - Zen 4C","EPYC 8324P - Zen 4C","EPYC 8324P - Zen 4C, 155W","EPYC 7601 - Zen 1"
Processor,,AMD EPYC 8534PN 64-Core @ 2.00GHz (64 Cores / 128 Threads),AMD EPYC 8534PN 32-Core @ 2.05GHz (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 7601 32-Core @ 2.20GHz (32 Cores / 64 Threads)
Motherboard,,AMD Cinnabar (RCB1009C BIOS),AMD Cinnabar (RCB1009C BIOS),AMD Cinnabar (RCB1009C BIOS),AMD Cinnabar (RCB1009C BIOS),TYAN B8026T70AE24HR (V1.02.B10 BIOS)
Chipset,,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD 17h
Memory,,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,8 x 16 GB 2667MT/s Samsung M393A2K40BB2-CTD
Disk,,1000GB INTEL SSDPE2KX010T8,1000GB INTEL SSDPE2KX010T8,1000GB INTEL SSDPE2KX010T8,1000GB INTEL SSDPE2KX010T8,1000GB INTEL SSDPE2KX010T8 + 280GB INTEL SSDPE21D280GA
Graphics,,llvmpipe,llvmpipe,llvmpipe,ASPEED,ASPEED
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
Monitor,,,,,,VE228
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,,1920x1200,1920x1200,1920x1200,1920x1200,1920x1080
,,"EPYC 8534PN - Zen 4C","EPYC 8324PN - Zen 4C","EPYC 8324P - Zen 4C","EPYC 8324P - Zen 4C, 155W","EPYC 7601 - Zen 1"
"7-Zip Compression - Test: Compression Rating (MIPS)",HIB,332922,212458,240083,228957,123746
"7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,343946,179072,211187,200034,133490
"7-Zip Compression - Test: Decompression Rating (MIPS/Watt)",HIB,3105.297,2439.42,2150.101,2334.057,846.161
"7-Zip Compression - CPU Power Consumption Monitor (Watts)",LIB,110.76,73.41,98.22,85.7,157.76
"ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,21.138819,11.517272,11.645616,11.434849,3.886776
"ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s/Watt)",HIB,0.24,0.17,0.133,0.14,0.025
"ACES DGEMM - CPU Power Consumption Monitor (Watts)",LIB,88.07,67.88,87.29,81.53,154.85
"Apache Cassandra - Test: Writes (Op/s)",HIB,244177,212207,223293,224034,150277
"Apache Cassandra - Test: Writes (Op/s/Watt)",HIB,2486.662,2829.245,2451.594,2447.895,977.625
"Apache Cassandra - CPU Power Consumption Monitor (Watts)",LIB,98.19,75,91.08,91.52,153.72
"Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 (point/sec)",HIB,82731495,77285152,80321359,70294901,51950735
"Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 (Latency)",LIB,54.71,58.92,57.21,62.60,86.19
"Apache IoTDB - CPU Power Consumption Monitor (Watts)",LIB,55.7,49.06,54.65,55.6,113.63
"Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,30.57,58.20,47.50,52.02,72.43
"Blender - CPU Power Consumption Monitor (Watts)",LIB,114.48,80,103.96,95.1,169.3
"Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,76.32,146.90,119.58,130.67,191.71
"Blender - CPU Power Consumption Monitor (Watts)",LIB,124.25,83.14,109.68,99.43,174.03
"Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,38.66,72.96,59.64,65.03,101.10
"Blender - CPU Power Consumption Monitor (Watts)",LIB,119.8,82.66,107.95,96.74,170.33
"Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,95.44,182.47,148.76,161.95,246.71
"Blender - CPU Power Consumption Monitor (Watts)",LIB,127.76,85.42,113.08,100.49,174.75
"Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,267.58,518.21,426.62,463.27,765.20
"Blender - CPU Power Consumption Monitor (Watts)",LIB,135.09,86.74,115.42,103.77,175.31
"Chaos Group V-RAY - Mode: CPU (vsamples)",HIB,54204,28177,33510,31536,19914
"Chaos Group V-RAY - Mode: CPU (vsamples/Watt)",HIB,487.435,377.524,351.764,361.933,136.756
"Chaos Group V-RAY - CPU Power Consumption Monitor (Watts)",LIB,111.2,74.64,95.26,87.13,145.62
"CloverLeaf - Input: clover_bm64_short (sec)",LIB,57.42,57.52,56.91,57.04,106.27
"CloverLeaf - CPU Power Consumption Monitor (Watts)",LIB,115.82,91.05,99.21,98.33,146.39
"CloverLeaf - Input: clover_bm16 (sec)",LIB,496.55,492.50,489.47,489.04,954.73
"CloverLeaf - CPU Power Consumption Monitor (Watts)",LIB,127.08,99.07,107.42,107.71,148.58
"CPU Power Consumption Monitor - Phoronix Test Suite System Monitoring (Watts)",,97.94,71.8,88.61,82.06,143.24
"DuckDB - Benchmark: IMDB (sec)",LIB,127.201,123.667,121.485,122.143,198.940
"DuckDB - CPU Power Consumption Monitor (Watts)",LIB,66.57,61.58,66.4,65.16,99.67
"DuckDB - Benchmark: TPC-H Parquet (sec)",LIB,178.698,182.934,182.775,181.394,249.189
"DuckDB - CPU Power Consumption Monitor (Watts)",LIB,52.87,49.7,51.12,51,79.07
"easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 (sec)",LIB,39.330,42.257,42.089,41.996,152.337
"easyWave - CPU Power Consumption Monitor (Watts)",LIB,85.82,72.99,79.33,78.72,131.09
"easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 (sec)",LIB,109.827,116.031,115.288,115.253,357.692
"easyWave - CPU Power Consumption Monitor (Watts)",LIB,93.86,77.93,83.41,83.31,131.58
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,74.9268,39.6006,45.5085,43.1270,21.8421
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS/Watt)",HIB,0.753,0.522,0.434,0.498,0.135
"Embree - CPU Power Consumption Monitor (Watts)",LIB,99.53,75.93,104.98,86.56,162.38
"Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,59.0513,31.0814,36.8917,34.2402,18.4387
"Embree - Binary: Pathtracer ISPC - Model: Crown (FPS/Watt)",HIB,0.812,0.398,0.361,0.373,0.112
"Embree - CPU Power Consumption Monitor (Watts)",LIB,72.7,78.15,102.31,91.77,165.15
"FFmpeg - Encoder: libx265 - Scenario: Live (FPS)",HIB,115.11,109.77,109.84,109.71,58.09
"FFmpeg - Encoder: libx265 - Scenario: Live (FPS/Watt)",HIB,2.005,2.04,1.988,1.977,0.704
"FFmpeg - CPU Power Consumption Monitor (Watts)",LIB,57.4,53.8,55.25,55.5,82.52
"FFmpeg - Encoder: libx265 - Scenario: Upload (FPS)",HIB,23.31,22.24,22.24,22.25,10.40
"FFmpeg - Encoder: libx265 - Scenario: Upload (FPS/Watt)",HIB,0.404,0.405,0.396,0.391,0.123
"FFmpeg - CPU Power Consumption Monitor (Watts)",LIB,57.73,54.98,56.16,56.98,84.51
"FFmpeg - Encoder: libx265 - Scenario: Platform (FPS)",HIB,47.03,45.03,45.01,45.12,21.02
"FFmpeg - Encoder: libx265 - Scenario: Platform (FPS/Watt)",HIB,0.766,0.769,0.753,0.745,0.241
"FFmpeg - CPU Power Consumption Monitor (Watts)",LIB,61.4,58.56,59.77,60.53,87.13
"FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS)",HIB,47.08,44.99,45.07,45.06,21.00
"FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS/Watt)",HIB,0.765,0.769,0.753,0.744,0.241
"FFmpeg - CPU Power Consumption Monitor (Watts)",LIB,61.54,58.51,59.82,60.54,86.99
"GPAW - Input: Carbon Nanotube (sec)",LIB,65.472,90.065,80.916,84.379,144.012
"GPAW - CPU Power Consumption Monitor (Watts)",LIB,133.51,87.64,119.88,103.8,166.77
"IndigoBench - Acceleration: CPU - Scene: Supercar (M samples/s)",HIB,21.767,11.249,13.573,12.572,8.586
"IndigoBench - Acceleration: CPU - Scene: Supercar (M samples/s/Watt)",HIB,0.194,0.137,0.122,0.13,0.051
"IndigoBench - CPU Power Consumption Monitor (Watts)",LIB,112.42,81.98,111.02,96.61,166.89
"IndigoBench - Acceleration: CPU - Scene: Bedroom (M samples/s)",HIB,9.973,5.127,6.177,5.720,3.985
"IndigoBench - Acceleration: CPU - Scene: Bedroom (M samples/s/Watt)",HIB,0.098,0.061,0.055,0.058,0.024
"IndigoBench - CPU Power Consumption Monitor (Watts)",LIB,101.66,83.56,112.48,98.87,165.84
"Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,1.71,0.93,1.11,1.03,0.48
"Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec/Watt)",HIB,0.017,0.013,0.012,0.012,0.003
"Intel Open Image Denoise - CPU Power Consumption Monitor (Watts)",LIB,101.21,72.92,95.95,85.62,165.03
"Kripke - (Throughput FoM)",HIB,288394300,247500133,268773267,258716167,181795967
"Kripke - (Throughput FoM/Watt)",HIB,2490692.281,2943707.257,2566916.468,2674408.734,1133698.867
"Kripke - CPU Power Consumption Monitor (Watts)",LIB,115.79,84.08,104.71,96.74,160.36
"LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day)",HIB,25.715,15.690,18.407,17.423,13.781
"LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day/Watt)",HIB,0.201,0.192,0.167,0.181,0.08
"LAMMPS Molecular Dynamics Simulator - CPU Power Consumption Monitor (Watts)",LIB,128,81.74,110.02,96.46,172.35
"Llama.cpp - Model: llama-2-7b.Q4_0.gguf (Tokens/sec)",HIB,,28.56,29.72,29.38,4.20
"Llama.cpp - Model: llama-2-7b.Q4_0.gguf (Tokens/sec/Watt)",HIB,,0.346,0.32,0.33,0.032
"Llama.cpp - CPU Power Consumption Monitor (Watts)",LIB,,82.44,92.91,89.09,132.4
"Llama.cpp - Model: llama-2-13b.Q4_0.gguf (Tokens/sec)",HIB,,17.06,17.93,17.09,2.49
"Llama.cpp - Model: llama-2-13b.Q4_0.gguf (Tokens/sec/Watt)",HIB,,0.186,0.174,0.179,0.019
"Llama.cpp - CPU Power Consumption Monitor (Watts)",LIB,,91.51,103.08,95.63,132.73
"Llama.cpp - Model: llama-2-70b-chat.Q5_0.gguf (Tokens/sec)",HIB,,3.11,3.43,2.93,0.46
"Llama.cpp - Model: llama-2-70b-chat.Q5_0.gguf (Tokens/sec/Watt)",HIB,,0.031,0.027,0.028,0.003
"Llama.cpp - CPU Power Consumption Monitor (Watts)",LIB,,101.14,126.42,103.99,134.92
"miniBUDE - Implementation: OpenMP - Input Deck: BM1 (GFInst/s)",HIB,2491.165,1278.030,1528.848,1427.412,358.254
"miniBUDE - Implementation: OpenMP - Input Deck: BM1 (Billion Interactions/s)",HIB,99.647,51.121,61.154,57.096,14.330
"miniBUDE - Implementation: OpenMP - Input Deck: BM1 (Billion Interactions/s/Watt)",HIB,1.087,0.746,0.684,0.718,0.087
"miniBUDE - CPU Power Consumption Monitor (Watts)",LIB,91.71,68.54,89.46,79.54,164.93
"miniBUDE - Implementation: OpenMP - Input Deck: BM2 (GFInst/s)",HIB,2489.197,1276.472,1532.274,1425.324,355.990
"miniBUDE - Implementation: OpenMP - Input Deck: BM2 (Billion Interactions/s)",HIB,99.568,51.059,61.291,57.013,14.240
"miniBUDE - Implementation: OpenMP - Input Deck: BM2 (Billion Interactions/s/Watt)",HIB,0.826,0.645,0.57,0.606,0.084
"miniBUDE - CPU Power Consumption Monitor (Watts)",LIB,120.51,79.22,107.51,94.14,169.53
"NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,0.43200,0.82790,0.67728,0.73558,0.97282
"NAMD - CPU Power Consumption Monitor (Watts)",LIB,118.08,80.88,106.41,94.83,165.28
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,1287.8778,674.9294,818.3145,752.5874,246.6440
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,24.8184,23.6852,19.5341,21.2407,64.7981
"Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,79.64,64.56,81.26,73.68,139.04
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,281.4898,152.2068,181.2320,169.5628,84.4287
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,113.4506,104.8987,88.1549,94.2013,189.3186
"Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,99.4,67.53,87.67,78.54,148.03
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,429.3270,229.5350,266.9567,254.3028,138.0333
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,74.4270,69.6037,59.8698,62.8155,115.7775
"Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,101.03,67.83,96.82,80.53,156.53
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,32.1554,17.7641,21.0230,19.6390,10.4527
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,982.6109,892.1039,751.6244,803.8219,1501.6051
"Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,86.81,69.41,89.95,80.88,140.6
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,191.0676,103.4399,122.3679,114.6161,68.1629
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,166.9491,154.2821,130.4161,139.1784,234.0212
"Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,106.43,70.84,91.94,82.56,156.97
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,192.0616,104.1306,122.9256,115.4212,68.9537
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,166.0267,153.3968,129.8432,138.2263,231.4035
"Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,105.49,69.76,91.03,82.46,156.49
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,32.1461,17.6664,21.0044,19.7530,10.3364
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,982.3298,894.1956,752.5121,801.1901,1515.6792
"Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,101.88,69.65,88.76,80.15,140.67
"Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,56.8419,32.1289,38.8202,35.7929,8.5097
"Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,556.1457,493.9887,410.4658,443.4299,1840.9494
"Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,103.72,69.77,89.23,81.2,141.98
"Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,429.3603,229.9123,266.9856,254.1307,138.5291
"Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,74.4102,69.5078,59.8723,62.8813,115.3465
"Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,3450.4334,1906.3870,2193.0906,2099.3246,152.9618
"Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,9.2520,8.3745,7.2816,7.6064,104.4436
"Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,96.82,66.53,93.1,76.96,159.12
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,40.6410,21.9096,25.8368,24.4736,12.2244
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,776.5434,722.1041,611.1481,647.8855,1289.8227
"Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,80.09,60.32,71.44,66.98,109.57
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,613.2269,320.8637,383.7004,357.2953,128.6692
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,52.1235,49.7973,41.6397,44.7159,124.0928
"Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,92.34,64.93,81.73,74.09,138.67
"nginx - Connections: 500 (Reqs/sec)",HIB,229161.91,136660.96,164234.98,149458.34,94936.99
"nginx - Connections: 500 (Reqs/sec/Watt)",HIB,1802.108,1656.124,1355.864,1536.379,561.576
"nginx - CPU Power Consumption Monitor (Watts)",LIB,127.16,82.52,121.13,97.28,169.05
"nginx - Connections: 1000 (Reqs/sec)",HIB,232146.41,139259.26,166799.14,151923.62,90952.15
"nginx - Connections: 1000 (Reqs/sec/Watt)",HIB,1785.713,1663.274,1365.651,1532.614,540.026
"nginx - CPU Power Consumption Monitor (Watts)",LIB,130,83.73,122.14,99.13,168.42
"OpenFOAM - Input: drivaerFastback, Small Mesh Size - Execution Time (sec)",LIB,58.610212,82.15286,73.513388,75.250702,122.25778
"OpenFOAM - CPU Power Consumption Monitor (Watts)",LIB,95.45,81.82,115.11,97.02,164.42
"OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Mesh Time (sec)",LIB,184.16204,172.68566,153.15408,163.04119,229.49406
"OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Execution Time (sec)",LIB,687.42305,793.87207,763.50167,779.50949,1164.3926
"OpenFOAM - CPU Power Consumption Monitor (Watts)",LIB,134.22,96.64,117.54,107.92,159.89
"OpenRadioss - Model: Chrysler Neon 1M (sec)",LIB,300.62,391.36,381.88,382.57,498.23
"OpenRadioss - CPU Power Consumption Monitor (Watts)",LIB,125.66,93.26,109.58,107.2,156.73
"OpenSSL - Algorithm: RSA4096 (sign/s)",HIB,21064.1,11909.2,15040.7,13565.8,4497.1
"OpenSSL - Algorithm: RSA4096 (verify/s)",HIB,828697.4,430171.6,457516.3,457514.1,292445.3
"OpenSSL - Algorithm: RSA4096 (verify/s/Watt)",HIB,7110.604,5622.232,4477.071,5076.365,1719.964
"OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,116.54,76.51,102.19,90.13,170.03
"OpenSSL - Algorithm: SHA256 (byte/s)",HIB,69910430987,35795826073,43033082363,40200353400,27015393267
"OpenSSL - Algorithm: SHA256 (byte/s/Watt)",HIB,546243197.783,436238930.852,387067179.889,416875314.973,155415474.323
"OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,127.98,82.06,111.18,96.43,173.83
"OpenSSL - Algorithm: SHA512 (byte/s)",HIB,22697266207,11644867590,13803340747,12993940737,8355425337
"OpenSSL - Algorithm: SHA512 (byte/s/Watt)",HIB,175273393.288,142108901.03,122734575.986,132126423.399,47835855.203
"OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,129.5,81.94,112.46,98.34,174.67
"OpenSSL - Algorithm: AES-128-GCM (byte/s)",HIB,493434496250,251415558370,308207308437,281191878567,97707034820
"OpenSSL - Algorithm: AES-128-GCM (byte/s/Watt)",HIB,3626240465.696,2927424070.202,2612982097.088,2743728420.226,559684188.569
"OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,136.07,85.88,117.95,102.49,174.58
"OpenSSL - Algorithm: AES-256-GCM (byte/s)",HIB,424400038207,216435660207,265303113457,242830526873,89976610817
"OpenSSL - Algorithm: AES-256-GCM (byte/s/Watt)",HIB,3123938397.229,2539685896.319,2258891761.215,2396310835.774,516298912.201
"OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,135.85,85.22,117.45,101.34,174.27
"OpenSSL - Algorithm: ChaCha20 (byte/s)",HIB,284696293373,147602077650,159447675517,159431008620,47935580060
"OpenSSL - Algorithm: ChaCha20 (byte/s/Watt)",HIB,2095501066.495,1694474523.218,1370606684.976,1474962096.065,280245644.355
"OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,135.86,87.11,116.33,108.09,171.05
"OpenSSL - Algorithm: ChaCha20-Poly1305 (byte/s)",HIB,196012573853,101065023123,113105892877,112344083843,30341046637
"OpenSSL - Algorithm: ChaCha20-Poly1305 (byte/s/Watt)",HIB,1450412054.662,1181271903.827,947613075.915,1067969605.529,177417166.496
"OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,135.14,85.56,119.36,105.19,171.02
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,49.43,25.41,31.25,28.58,3.81
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,644.80,627.46,510.71,558.29,2096.01
"OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,120.17,78.51,104.31,94.12,149.23
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,71960.41,43375.55,52709.19,49194.55,13039.70
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.61,0.57,0.47,0.51,2.44
"OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,120.8,79.74,108.3,95.14,158.22
"OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,202.29,131.24,150.74,144.27,42.43
"OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,157.93,121.74,106.00,110.77,188.25
"OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,135.45,87.04,116.45,101.96,166.88
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,4878.00,2520.77,3102.13,2851.01,376.97
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,12.97,12.58,10.20,11.12,84.77
"OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,123.46,79.51,104.99,93.22,150.93
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,2816.09,1527.32,1860.65,1710.42,296.42
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,11.24,10.39,8.52,9.29,26.96
"OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,128.75,80.57,106.55,94.19,153.24
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,2547.73,1424.53,1701.18,1563.36,464.48
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,12.47,11.15,9.34,10.18,17.20
"OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,123.52,82.1,110.53,97.96,165.89
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,295.61,163.09,194.71,180.32,38.63
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,108.06,97.91,82.00,88.55,206.72
"OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,131.69,84.95,113.09,101.92,165.69
"OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,8310.71,4405.62,5418.92,4977.13,878.71
"OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,7.52,7.13,5.77,6.3,9.09
"OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,126.58,80.06,105.87,94.19,151.02
"OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,1086.68,555.71,688.60,621.82,188.86
"OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,58.78,57.50,46.39,51.41,169.21
"OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,129.33,80.66,106.71,95.92,168.08
"OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,934.59,520.24,633.21,579.34,149.01
"OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,34.14,30.69,25.21,27.56,53.64
"OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,124.73,78.99,103.96,92.62,153.77
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,15.0596,7.97910,9.14257,8.78898,2.59961
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec/Watt)",HIB,0.134,0.106,0.086,0.099,0.017
"OSPRay - CPU Power Consumption Monitor (Watts)",LIB,112.5,75.35,105.72,88.92,154.54
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec)",HIB,14.6131,7.66532,8.83622,8.45634,2.45276
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec/Watt)",HIB,0.13,0.101,0.083,0.095,0.016
"OSPRay - CPU Power Consumption Monitor (Watts)",LIB,112.66,75.52,106.38,89.24,155.24
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,16.8954,8.89361,10.4939,9.87373,4.14655
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec/Watt)",HIB,0.151,0.119,0.107,0.113,0.026
"OSPRay - CPU Power Consumption Monitor (Watts)",LIB,111.92,74.93,98.06,87.12,158.4
"OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,14.9086,8.13231,8.79773,8.75784,5.28576
"OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec/Watt)",HIB,0.127,0.105,0.083,0.091,0.031
"OSPRay - CPU Power Consumption Monitor (Watts)",LIB,117.12,77.24,106.54,95.93,170.26
"OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,14.8549,8.14358,8.77043,8.75896,5.22927
"OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec/Watt)",HIB,0.142,0.111,0.093,0.1,0.034
"OSPRay - CPU Power Consumption Monitor (Watts)",LIB,104.35,73.4,94,87.26,155.54
"OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,164.205,147.220,147.253,147.281,98.8969
"OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec/Watt)",HIB,1.46,1.96,1.501,1.721,0.651
"OSPRay - CPU Power Consumption Monitor (Watts)",LIB,112.45,75.11,98.09,85.6,151.89
"OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,2146,4222,3493,3787,8452
"OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,106.94,73.93,94.54,85.34,144.08
"OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,40603,74023,62633,67153,145560
"OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,98.27,74.89,91.99,85.93,157.28
"OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,74752,142160,118514,128154,281137
"OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,111.91,79.68,103.11,92.46,165.82
"OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,2544,5004,4152,4493,10054
"OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,108.61,74.5,96.2,85.96,144.51
"OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,47472,86678,73127,78610,170871
"OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,101.8,76.19,96.86,87.51,159.86
"OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,87860,167209,139737,150410,331945
"OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,115.14,80.77,105.59,94.05,167.12
"PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec)",HIB,45.23,52.90,52.72,52.91,24.89
"PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec/Watt)",HIB,0.552,0.807,0.784,0.781,0.162
"PyTorch - CPU Power Consumption Monitor (Watts)",LIB,81.98,65.58,67.28,67.79,153.64
"PyTorch - Device: CPU - Batch Size: 256 - Model: ResNet-50 (batches/sec)",HIB,36.23,40.36,40.59,40.54,20.48
"PyTorch - Device: CPU - Batch Size: 256 - Model: ResNet-50 (batches/sec/Watt)",HIB,0.389,0.538,0.527,0.519,0.127
"PyTorch - CPU Power Consumption Monitor (Watts)",LIB,93.21,74.96,77.08,78.04,161.62
"QuantLib - Configuration: Multi-Threaded (MFLOPS)",HIB,154830.9,80175.3,98717.2,90654.1,64469.4
"QuantLib - Configuration: Multi-Threaded (MFLOPS/Watt)",HIB,1273.591,1007.581,945.621,967.967,384.043
"QuantLib - CPU Power Consumption Monitor (Watts)",LIB,121.57,79.57,104.39,93.65,167.87
"Quicksilver - Input: CORAL2 P1 (Figure Of Merit)",HIB,21233333,18273333,18880000,18950000,13030000
"Quicksilver - Input: CORAL2 P1 (Figure Of Merit/Watt)",HIB,195063.316,243826.724,208439.278,208244.589,87231.317
"Quicksilver - CPU Power Consumption Monitor (Watts)",LIB,108.85,74.94,90.58,91,149.37
"Quicksilver - Input: CTS2 (Figure Of Merit)",HIB,16300000,14030000,14313333,14376667,11443333
"Quicksilver - Input: CTS2 (Figure Of Merit/Watt)",HIB,144074.418,171302.448,156624.763,156169.025,72917.479
"Quicksilver - CPU Power Consumption Monitor (Watts)",LIB,113.14,81.9,91.39,92.06,156.94
"rav1e - Speed: 10 (FPS)",HIB,12.186,11.824,11.790,11.818,6.995
"rav1e - Speed: 10 (FPS/Watt)",HIB,0.223,0.226,0.222,0.221,0.079
"rav1e - CPU Power Consumption Monitor (Watts)",LIB,54.63,52.32,53.05,53.57,88.54
"rav1e - Speed: 6 (FPS)",HIB,4.868,4.727,4.706,4.731,2.963
"rav1e - Speed: 6 (FPS/Watt)",HIB,0.09,0.09,0.089,0.088,0.032
"rav1e - CPU Power Consumption Monitor (Watts)",LIB,54.17,52.36,53.07,54.04,93.25
"Redis 7.0.12 + memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,2568868.49,2562876.16,2842511.46,2789711.34,1277853.47
"Redis 7.0.12 + memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 (Ops/sec/Watt)",HIB,28227.251,41473.464,32673.791,37066.246,7946.043
"Redis 7.0.12 + memtier_benchmark - CPU Power Consumption Monitor (Watts)",LIB,91.01,61.8,87,75.26,160.82
"Redis 7.0.12 + memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 (Ops/sec)",HIB,2513019.32,2500035.09,2795965.05,2720321.30,1159654.33
"Redis 7.0.12 + memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 (Ops/sec/Watt)",HIB,27624.534,39908.906,32252.276,36173.118,7148.894
"Redis 7.0.12 + memtier_benchmark - CPU Power Consumption Monitor (Watts)",LIB,90.97,62.64,86.69,75.2,162.21
"RocksDB - Test: Random Read (Op/s)",HIB,248969387,131206830,161678876,147721769,84616408
"RocksDB - Test: Random Read (Op/s/Watt)",HIB,2230797.087,1742913.89,1613507.122,1652219.584,499648.821
"RocksDB - CPU Power Consumption Monitor (Watts)",LIB,111.61,75.28,100.2,89.41,169.35
"RocksDB - Test: Read While Writing (Op/s)",HIB,6688089,4107313,4394310,4301343,3463695
"RocksDB - Test: Read While Writing (Op/s/Watt)",HIB,57031.639,51316.286,38762.717,43556.264,20446.351
"RocksDB - CPU Power Consumption Monitor (Watts)",LIB,117.27,80.04,113.36,98.75,169.4
"Speedb - Test: Random Read (Op/s)",HIB,248842616,132248192,163771762,147991555,85990445
"Speedb - Test: Random Read (Op/s/Watt)",HIB,2534080.332,1749308.714,1624547.005,1658329.329,505924.526
"Speedb - CPU Power Consumption Monitor (Watts)",LIB,98.2,75.6,100.81,89.24,169.97
"Speedb - Test: Read While Writing (Op/s)",HIB,12585315,6934544,7290610,7162203,5954251
"Speedb - Test: Read While Writing (Op/s/Watt)",HIB,108503.021,88296.453,64987.071,74216.652,35300.6
"Speedb - CPU Power Consumption Monitor (Watts)",LIB,115.99,78.54,112.19,96.5,168.67
"Speedb - Test: Read Random Write Random (Op/s)",HIB,2272026,1982257,2233744,2133311,1447819
"Speedb - Test: Read Random Write Random (Op/s/Watt)",HIB,20292.363,25808.681,20899.632,22326.889,9121.909
"Speedb - CPU Power Consumption Monitor (Watts)",LIB,111.96,76.81,106.88,95.55,158.72
"Speedb - Test: Update Random (Op/s)",HIB,349745,305729,317250,317634,203823
"Speedb - Test: Update Random (Op/s/Watt)",HIB,3874.585,4423.418,4050.076,4047.082,1640.495
"Speedb - CPU Power Consumption Monitor (Watts)",LIB,90.27,69.12,78.33,78.48,124.24
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,190.887,167.163,182.260,175.746,70.773
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS/Watt)",HIB,3.924,3.739,3.665,3.666,0.726
"SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,48.65,44.45,49.73,47.94,97.48
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,64.336,51.537,58.000,55.717,26.753
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS/Watt)",HIB,0.965,0.882,0.826,0.855,0.215
"SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,66.7,58.46,70.19,65.2,124.31
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,6.556,5.551,5.911,5.816,3.065
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS/Watt)",HIB,0.09,0.091,0.08,0.082,0.024
"SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,72.93,61.27,74.26,70.54,125.14
"TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,48.56,47.77,51.70,51.03,8.77
"TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec/Watt)",HIB,0.519,0.584,0.553,0.551,0.068
"TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,93.58,81.85,93.54,92.61,129.38
"Timed FFmpeg Compilation - Time To Compile (sec)",LIB,19.376,27.574,24.492,25.679,39.891
"Timed FFmpeg Compilation - CPU Power Consumption Monitor (Watts)",LIB,76.17,65.1,76.7,72.32,131.98
"Timed Gem5 Compilation - Time To Compile (sec)",LIB,230.990,295.060,263.533,266.951,394.619
"Timed Gem5 Compilation - CPU Power Consumption Monitor (Watts)",LIB,80.38,68.37,81.51,76.82,132.06
"Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,44.423,58.519,52.144,54.798,76.196
"Timed Linux Kernel Compilation - CPU Power Consumption Monitor (Watts)",LIB,80.72,66.25,78.45,73.96,131.73
"Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,341.477,539.240,449.986,487.576,752.603
"Timed Linux Kernel Compilation - CPU Power Consumption Monitor (Watts)",LIB,123.12,84.8,110.33,98.23,169.3
"Timed LLVM Compilation - Build System: Ninja (sec)",LIB,190.992,300.444,258.219,274.946,435.252
"Timed LLVM Compilation - CPU Power Consumption Monitor (Watts)",LIB,111.72,80.86,104.41,93.74,161.3
"Timed LLVM Compilation - Build System: Unix Makefiles (sec)",LIB,277.910,371.536,334.293,349.611,529.398
"Timed LLVM Compilation - CPU Power Consumption Monitor (Watts)",LIB,95.16,74.82,93.02,85.28,148.45
"Timed Node.js Compilation - Time To Compile (sec)",LIB,174.002,253.142,222.067,234.231,389.700
"Timed Node.js Compilation - CPU Power Consumption Monitor (Watts)",LIB,105.06,78.72,100.34,90.5,156.04
"uvg266 - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,47.65,33.82,39.25,37.33,22.26
"uvg266 - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS/Watt)",HIB,0.541,0.494,0.439,0.464,0.146
"uvg266 - CPU Power Consumption Monitor (Watts)",LIB,88.16,68.46,89.35,80.5,152.6
"uvg266 - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,49.22,36.75,42.94,40.50,23.58
"uvg266 - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS/Watt)",HIB,0.572,0.535,0.485,0.506,0.155
"uvg266 - CPU Power Consumption Monitor (Watts)",LIB,86.03,68.71,88.47,80.01,152.55
"uvg266 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,51.33,41.02,46.54,44.81,27.29
"uvg266 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS/Watt)",HIB,0.634,0.623,0.546,0.581,0.184
"uvg266 - CPU Power Consumption Monitor (Watts)",LIB,80.95,65.8,85.31,77.06,147.98
"VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,11.272,10.291,10.741,10.635,6.358
"VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS/Watt)",HIB,0.158,0.147,0.134,0.135,0.049
"VVenC - CPU Power Consumption Monitor (Watts)",LIB,71.12,69.84,80.43,78.69,129.11
"x265 - Video Input: Bosphorus 4K (FPS)",HIB,27.51,24.03,25.55,25.45,14.29
"x265 - Video Input: Bosphorus 4K (FPS/Watt)",HIB,0.362,0.39,0.343,0.342,0.112
"x265 - CPU Power Consumption Monitor (Watts)",LIB,76.07,61.61,74.59,74.36,127.97
"Xcompact3d Incompact3d - Input: input.i3d 193 Cells Per Direction (sec)",LIB,20.9756184,24.3467388,23.9050407,23.7732938,37.9889971
"Xcompact3d Incompact3d - CPU Power Consumption Monitor (Watts)",LIB,109.38,84.85,92.54,94.22,144.52
"Xcompact3d Incompact3d - Input: X3D-benchmarking input.i3d (sec)",LIB,563.346781,628.844299,608.229716,612.204793,1092.51253
"Xcompact3d Incompact3d - CPU Power Consumption Monitor (Watts)",LIB,126.57,93.37,104.53,102.88,150.35
"Xmrig - Variant: Monero - Hash Count: 1M (H/s)",HIB,20484.3,16892.3,18908.9,18129.0,4973.3
"Xmrig - Variant: Monero - Hash Count: 1M (H/s/Watt)",HIB,160.737,189.122,150.556,174.196,32.66
"Xmrig - CPU Power Consumption Monitor (Watts)",LIB,127.44,89.32,125.59,104.07,152.27
"Xmrig - Variant: Wownero - Hash Count: 1M (H/s)",HIB,35370.0,21769.2,25644.3,24096.2,9331.6
"Xmrig - Variant: Wownero - Hash Count: 1M (H/s/Watt)",HIB,265.905,247.534,219.8,233.097,57.576
"Xmrig - CPU Power Consumption Monitor (Watts)",LIB,133.02,87.94,116.36,103.37,162.07
"Xmrig - Variant: CryptoNight-Femto UPX2 - Hash Count: 1M (H/s)",HIB,20477.1,16799.2,18922.7,18090.9,5061.3
"Xmrig - Variant: CryptoNight-Femto UPX2 - Hash Count: 1M (H/s/Watt)",HIB,157.774,188.752,149.199,172.655,33.267
"Xmrig - CPU Power Consumption Monitor (Watts)",LIB,129.79,89,126.83,104.78,152.14
"Xmrig - Variant: CryptoNight-Heavy - Hash Count: 1M (H/s)",HIB,20489.8,16932.8,18883.2,18155.0,5087.4
"Xmrig - Variant: CryptoNight-Heavy - Hash Count: 1M (H/s/Watt)",HIB,157.283,190.295,148.12,173.494,33.296
"Xmrig - CPU Power Consumption Monitor (Watts)",LIB,130.27,88.98,127.49,104.64,152.79
"Xmrig - Variant: KawPow - Hash Count: 1M (H/s)",HIB,20487.2,16877.9,18875.2,18088.7,4687.9
"Xmrig - Variant: KawPow - Hash Count: 1M (H/s/Watt)",HIB,155.945,189.15,148.733,171.504,31.229
"Xmrig - CPU Power Consumption Monitor (Watts)",LIB,131.37,89.23,126.91,105.47,150.11
"Xmrig - Variant: GhostRider - Hash Count: 1M (H/s)",HIB,4374.0,3938.5,4043.2,4031.7,1042.7
"Xmrig - Variant: GhostRider - Hash Count: 1M (H/s/Watt)",HIB,35.481,50.34,41.05,40.527,7.453
"Xmrig - CPU Power Consumption Monitor (Watts)",LIB,123.28,78.24,98.5,99.48,139.9
"Y-Cruncher - Pi Digits To Calculate: 500M (sec)",LIB,5.207,6.653,5.747,6.192,15.515
"Y-Cruncher - CPU Power Consumption Monitor (Watts)",LIB,71.41,60.25,71.49,66.68,138.19
"Y-Cruncher - Pi Digits To Calculate: 1B (sec)",LIB,10.442,13.971,11.927,12.887,33.908
"Y-Cruncher - CPU Power Consumption Monitor (Watts)",LIB,88.51,69.43,85.62,77.54,150.37