AMD P-State Linux 6.3 Testing

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 2302279-NE-AMDPSTATE10
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C++ Boost Tests 2 Tests
Timed Code Compilation 4 Tests
C/C++ Compiler Tests 9 Tests
Compression Tests 2 Tests
CPU Massive 13 Tests
Creator Workloads 14 Tests
Database Test Suite 3 Tests
Encoding 7 Tests
Game Development 3 Tests
HPC - High Performance Computing 7 Tests
Machine Learning 3 Tests
Molecular Dynamics 4 Tests
MPI Benchmarks 2 Tests
Multi-Core 20 Tests
NVIDIA GPU Compute 2 Tests
Intel oneAPI 4 Tests
OpenMPI Tests 3 Tests
Programmer / Developer System Benchmarks 6 Tests
Python Tests 8 Tests
Renderers 2 Tests
Scientific Computing 4 Tests
Server 5 Tests
Server CPU Tests 9 Tests
Single-Threaded 3 Tests
Video Encoding 6 Tests
Common Workstation Benchmarks 3 Tests

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Identifier
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  Test
  Duration
amd_pstate_epp powersave balance_performance
February 21 2023
  12 Hours, 18 Minutes
amd_pstate_epp performance balance_performance
February 22 2023
  10 Hours, 43 Minutes
amd_pstate_epp powersave power
February 22 2023
  12 Hours, 39 Minutes
amd_pstate_epp performance performance
February 23 2023
  9 Hours, 52 Minutes
amd_pstate schedutil
February 23 2023
  17 Hours, 34 Minutes
amd_pstate performance
February 24 2023
  11 Hours, 43 Minutes
amd_pstate powersave
February 24 2023
  1 Day, 8 Hours, 2 Minutes
amd_pstate ondemand
February 25 2023
  13 Hours, 38 Minutes
acpi_cpufreq schedutil
February 26 2023
  13 Hours, 7 Minutes
acpi_cpufreq ondemand
February 26 2023
  11 Hours, 42 Minutes
acpi_cpufreq performance
February 27 2023
  10 Hours, 14 Minutes
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  14 Hours, 8 Minutes

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AMD P-State Linux 6.3 Testing Benchmarks by Michael Larabel for a future article. ,,"amd_pstate_epp powersave balance_performance","amd_pstate_epp performance balance_performance","amd_pstate_epp powersave power","amd_pstate_epp performance performance","amd_pstate schedutil","amd_pstate performance","amd_pstate powersave","amd_pstate ondemand","acpi_cpufreq schedutil","acpi_cpufreq ondemand","acpi_cpufreq performance" Processor,,2 x AMD EPYC 7773X 64-Core @ 3.53GHz (128 Cores / 256 Threads),2 x AMD EPYC 7773X 64-Core @ 3.53GHz (128 Cores / 256 Threads),2 x AMD EPYC 7773X 64-Core @ 3.53GHz (128 Cores / 256 Threads),2 x AMD EPYC 7773X 64-Core @ 3.53GHz (128 Cores / 256 Threads),2 x AMD EPYC 7773X 64-Core @ 3.53GHz (128 Cores / 256 Threads),2 x AMD EPYC 7773X 64-Core @ 3.53GHz (128 Cores / 256 Threads),2 x AMD EPYC 7773X 64-Core @ 3.53GHz (128 Cores / 256 Threads),2 x AMD EPYC 7773X 64-Core @ 3.53GHz (128 Cores / 256 Threads),2 x AMD EPYC 7773X 64-Core @ 2.20GHz (128 Cores / 256 Threads),2 x AMD EPYC 7773X 64-Core @ 2.20GHz (128 Cores / 256 Threads),2 x AMD EPYC 7773X 64-Core @ 2.20GHz (128 Cores / 256 Threads) Motherboard,,AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS) Chipset,,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse Memory,,512GB,512GB,512GB,512GB,512GB,512GB,512GB,512GB,512GB,512GB,512GB Disk,,800GB INTEL SSDPF21Q800GB,800GB INTEL SSDPF21Q800GB,800GB INTEL SSDPF21Q800GB,800GB INTEL SSDPF21Q800GB,800GB INTEL SSDPF21Q800GB,800GB INTEL SSDPF21Q800GB,800GB INTEL SSDPF21Q800GB,800GB INTEL SSDPF21Q800GB,800GB INTEL SSDPF21Q800GB,800GB INTEL SSDPF21Q800GB,800GB INTEL SSDPF21Q800GB Graphics,,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED Monitor,,VE228,VE228,VE228,VE228,VE228,VE228,VE228,VE228,VE228,VE228,VE228 Network,,2 x Mellanox MT27710,2 x Mellanox MT27710,2 x Mellanox MT27710,2 x Mellanox MT27710,2 x Mellanox MT27710,2 x Mellanox MT27710,2 x Mellanox MT27710,2 x Mellanox MT27710,2 x Mellanox MT27710,2 x Mellanox MT27710,2 x Mellanox MT27710 OS,,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04 Kernel,,6.2.0-phx (x86_64),6.2.0-phx (x86_64),6.2.0-phx (x86_64),6.2.0-phx (x86_64),6.2.0-phx (x86_64),6.2.0-phx (x86_64),6.2.0-phx (x86_64),6.2.0-phx (x86_64),6.2.0-phx (x86_64),6.2.0-phx (x86_64),6.2.0-phx (x86_64) Desktop,,GNOME Shell 42.5,GNOME Shell 42.5,GNOME Shell 42.5,GNOME Shell 42.5,GNOME Shell 42.5,GNOME Shell 42.5,GNOME Shell 42.5,GNOME Shell 42.5,GNOME Shell 42.5,GNOME Shell 42.5,GNOME Shell 42.5 Display Server,,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3 Vulkan,,1.3.224,1.3.224,1.3.224,1.3.224,1.3.224,1.3.224,1.3.224,1.3.224,1.3.224,1.3.224,1.3.224 Compiler,,GCC 11.3.0 + LLVM 14.0.0,GCC 11.3.0 + LLVM 14.0.0,GCC 11.3.0 + LLVM 14.0.0,GCC 11.3.0 + LLVM 14.0.0,GCC 11.3.0 + LLVM 14.0.0,GCC 11.3.0 + LLVM 14.0.0,GCC 11.3.0 + LLVM 14.0.0,GCC 11.3.0 + LLVM 14.0.0,GCC 11.3.0 + LLVM 14.0.0,GCC 11.3.0 + LLVM 14.0.0,GCC 11.3.0 + LLVM 14.0.0 File-System,,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4 Screen Resolution,,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080 ,,"amd_pstate_epp powersave balance_performance","amd_pstate_epp performance balance_performance","amd_pstate_epp powersave power","amd_pstate_epp performance performance","amd_pstate schedutil","amd_pstate performance","amd_pstate powersave","amd_pstate ondemand","acpi_cpufreq schedutil","acpi_cpufreq ondemand","acpi_cpufreq performance" "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,2853983,2905181,2863951,2980719,2836504,2815356,405614,2863742,3021171,2814269,2921572 "Stargate Digital Audio Workstation - Sample Rate: 192000 - Buffer Size: 1024 (Render Ratio)",HIB,2.059259,2.348079,1.801238,2.346447,0.811418,2.363070,0.301450,1.358549,2.346112,2.326770,2.367074 "TensorFlow - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec)",HIB,87.75,97.12,65.63,96.73,36.50,97.50,16.54,75.69,79.36,94.62,95.71 "TensorFlow - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec)",HIB,38.41,40.19,31.64,40.39,26.63,40.89,8.74,37.03,39.24,40.00,40.42 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,72.8451,72.9497,72.7952,73.0561,70.7499,72.9079,12.9683,72.5195,73.1026,72.7729,73.1592 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,869.2150,868.8719,868.9246,868.2616,895.1272,867.8993,4864.7028,876.4961,868.8157,872.8912,869.1872 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,926.2028,929.7894,931.6005,931.5821,897.6375,930.4932,215.5167,931.2032,932.0027,929.7910,928.5381 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,68.9182,68.7056,68.5591,68.5813,71.1617,68.6499,295.4918,68.5979,68.5451,68.7068,68.7650 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,310.296,310.4330,309.3788,310.7448,299.5680,310.3004,56.6582,309.5958,310.0940,308.6765,310.6145 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,205.6828,205.4179,205.6999,205.3031,212.6277,205.4057,1124.3046,206.1379,205.4931,206.4473,205.2817 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,403.291,404.9534,403.5860,404.5464,388.6392,404.2950,70.8684,401.7313,404.2730,403.2806,404.1304 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,158.1292,157.5501,158.0751,157.7002,164.2008,157.7992,884.2913,158.9464,157.8251,158.0475,157.8814 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,830.0967,830.0131,829.6035,830.3241,809.9048,830.8519,147.6880,834.4638,828.8966,829.1745,828.8161 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,76.9866,76.9790,77.0202,76.9051,78.8686,76.9068,431.9597,76.5661,77.0980,77.0107,77.0588 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,610.7001,609.6137,609.8987,610.3155,587.4762,609.9637,109.7693,607.3304,609.7624,608.3023,609.0422 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,104.5730,104.7553,104.6604,104.6233,108.6614,104.7278,577.7688,105.1513,104.7469,105.0236,104.8041 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,108.1971,108.1954,108.1498,108.1144,104.8933,108.4041,18.2048,107.4707,108.1330,107.8991,108.1608 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,587.7380,587.8421,587.7795,587.6097,605.6728,586.8584,3485.2129,589.6910,587.7789,588.6134,587.3828 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,307.0385,307.6420,307.7129,307.8920,297.1387,307.2669,55.2245,306.3994,307.7165,306.6822,307.1658 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,207.6114,207.4377,207.3328,207.1853,214.4729,207.6741,1143.0555,208.0910,207.2711,207.8753,207.5798 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,73.0239,72.9379,73.0501,73.1372,71.0074,73.2692,13.0028,72.4101,73.0290,72.7821,73.2510 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,868.0756,867.9275,867.0199,866.9818,893.4282,866.9595,4868.1057,876.3321,866.6223,872.0650,867.8296 "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,11.079,11.179,11.131,11.074,8.482,11.053,2.167,9.550,11.173,10.853,11.125 "NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,0.22286,0.22270,0.22450,0.22021,0.23420,0.22464,1.40982,0.22289,0.22025,0.22290,0.22441 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,15.52,15.54,15.50,15.55,14.63,15.52,2.54,15.24,15.41,15.44,15.49 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,4030.03,4015.91,4033.63,4005.03,4262.29,4030.79,24236.97,4103.64,4054.30,4041.31,4032.10 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,53.09,53.07,52.91,52.79,50.35,53.03,8.38,52.48,53.06,52.76,53.12 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,1195.35,1195.60,1199.87,1203.52,1260.49,1195.23,7565.21,1210.76,1195.76,1203.42,1195.14 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,3738.04,3748.17,3730.66,3744.85,1416.77,3749.69,596.04,1960.30,3741.06,3689.97,3741.35 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,17.10,17.06,17.14,17.07,46.49,17.05,107.17,36.35,17.09,17.33,17.09 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,267.15,266.96,268.24,266.56,265.31,267.30,51.52,279.33,266.14,264.82,268.04 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,239.05,239.29,238.16,239.70,240.82,239.02,1229.86,228.75,239.94,241.17,238.32 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,5291.45,5294.97,5277.02,5291.00,5029.05,5292.08,830.31,5224.83,5292.42,5250.15,5291.81 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,24.17,24.16,24.24,24.17,25.43,24.17,153.78,24.48,24.17,24.36,24.17 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,3654.51,3670.78,3645.60,3679.31,2062.04,3678.91,202.83,1915.37,3663.48,3621.58,3655.41 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,17.49,17.41,17.53,17.37,32.42,17.37,315.26,35.39,17.44,17.65,17.48 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,35205.47,35601.83,36975.34,36507.11,33751.58,36428.76,5175.96,35501.21,36248.38,35666.69,32979.74 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,3.51,3.45,3.32,3.38,3.55,3.39,24.55,3.40,3.41,3.44,3.72 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Mesh Time (sec)",LIB,116.05227,114.86885,116.28282,116.19384,127.85527,116.10875,773.96684,119.63471,116.43538,120.10383,115.75608 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Execution Time (sec)",LIB,167.409,170.71478,169.24992,167.81864,182.43689,168.799,773.03283,167.90491,166.47566,168.99869,164.04046 "Xcompact3d Incompact3d - Input: X3D-benchmarking input.i3d (sec)",LIB,264.910481,264.590464,263.300232,264.824544,267.536092,265.312622,540.544881,262.403117,263.625285,264.797139,263.627543 "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,500471,522348,459617,514443,394982,530689,100970,485387,475861,507039,528289 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,716703,726521,661420,733882,699228,746376,104287,739016,748549,740039,742955 "Zstd Compression - Compression Level: 19 - Compression Speed (MB/s)",HIB,16.0,17.6,15.2,17.5,17.1,17.6,1.97,17.2,17.4,17.5,17.5 "Zstd Compression - Compression Level: 19 - Decompression Speed (MB/s)",HIB,1278.3,1278.6,1269.8,1276.2,1261.8,1188.1,146.1,1280.5,1270.9,1264.7,1272.8 "Zstd Compression - Compression Level: 19, Long Mode - Compression Speed (MB/s)",HIB,8.91,9.28,8.72,9.26,9.20,9.31,1.06,9.13,9.29,9.21,9.12 "Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s)",HIB,1195.0,1203.6,1186.0,1203.3,1191.5,1171.2,140.1,1178.0,1203.2,1203.2,1209.1 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,25.521,22.623,30.833,22.530,25.392,22.519,156.783,24.520,22.610,23.440,22.652 "Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,176.495,172.884,184.470,172.857,182.768,173.636,1094.374,177.063,172.606,174.946,173.634 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,29.42,31.99,20.66,32.30,14.39,32.00,4.83,30.32,22.97,32.36,32.09 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,47.97,54.69,45.56,54.77,26.21,53.77,7.43,52.17,52.32,54.78,55.03 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,50.67,56.14,41.83,55.85,26.54,55.27,7.72,52.60,52.93,55.58,55.92 "VP9 libvpx Encoding - Speed: Speed 5 - Input: Bosphorus 4K (FPS)",HIB,11.63,13.37,7.95,12.83,3.06,13.32,1.86,8.47,14.36,10.72,14.17 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,3.453,4.158,2.443,4.181,3.322,4.184,0.558,3.865,4.013,4.090,4.182 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,175.455,186.048,155.770,173.314,90.277,182.358,36.647,171.877,167.611,180.332,180.860 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,170.265,194.103,145.323,188.423,72.221,191.046,32.265,161.778,144.342,180.343,189.131 "x265 - Video Input: Bosphorus 4K (FPS)",HIB,18.56,20.55,15.33,20.63,16.36,20.74,4.37,19.29,20.67,19.90,20.96 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,37.94,37.68,38.35,37.57,40.04,37.73,254.46,37.85,37.61,37.92,37.71 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,19.17,18.80,19.74,18.95,20.26,18.89,124.48,19.18,18.90,19.00,19.01 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,141.79,140.18,143.04,140.36,147.46,140.35,933.41,141.91,140.55,141.98,140.45 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,45.99,45.72,46.73,45.75,48.49,45.77,297.67,46.19,45.95,45.92,45.85 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,24.28,27.01,17.33,27.06,12.25,26.89,3.97,24.58,21.21,27.20,26.93 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,39.96,46.26,33.79,46.31,25.43,45.41,6.77,41.57,40.71,45.19,46.07 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,41.13,47.25,33.76,46.08,21.65,45.46,6.88,41.90,40.82,44.50,46.45 "VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,3.359,4.022,2.471,4.023,3.136,4.021,0.568,3.676,3.767,3.974,4.050 "VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,6.326,7.397,4.769,7.352,6.230,7.306,1.157,6.646,7.347,7.373,7.320 "Timed Godot Game Engine Compilation - Time To Compile (sec)",LIB,41.898,37.321,47.935,37.011,41.940,37.053,258.873,40.812,37.576,38.365,37.384 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,122.5014,123.1458,121.2970,122.8729,116.7530,123.0248,19.6685,121.8576,122.7055,120.7998,123.0519 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,92.2064,94.7841,93.7279,93.5012,88.8022,93.6050,24.7917,92.8004,93.7615,92.9537,91.3724 "OpenVKL - Benchmark: vklBenchmark ISPC (Items / Sec)",HIB,514,516,477,512,468,534,102,514,531,524,524 "OpenVKL - Benchmark: vklBenchmark Scalar (Items / Sec)",HIB,364,374,346,385,327,374,72,363,376,357,367 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer (ms)",LIB,1101,1103,1102,1101,1166,1098,67000,1118,1103,1120,1104 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer (ms)",LIB,1304,1299,1303,1302,1376,1300,68548,1322,1306,1322,1306 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,35438,35573,35243,35210,36976,35186,291743,35440,35505,35628,35406 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,41798,41650,41532,41686,43705,41588,332950,41897,42130,42264,41859 "Timed Gem5 Compilation - Time To Compile (sec)",LIB,157.102,149.767,173.201,148.503,156.945,146.644,1100.363,153.903,149.222,152.990,147.002 "Timed Node.js Compilation - Time To Compile (sec)",LIB,111.949,105.529,120.483,105.825,113.131,104.934,752.986,109.813,106.466,107.143,105.541 "nginx - Connections: 500 (Reqs/sec)",HIB,146738.16,147764.25,145614.76,152654.86,138510.00,151325.01,27774.70,122126.56,146083.16,149876.52,147285.78 "PHPBench - PHP Benchmark Suite (Score)",HIB,687682,697478,671207,700287,711125,701215,79570,705341,698785,708218,699816 "ClickHouse - 100M Rows Hits Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,355.12,395.53,339.68,392.95,252.79,394.32,66.81,297.77,351.21,351.39,393.15 "ClickHouse - 100M Rows Hits Dataset, Second Run (Queries/min, Geo Mean)",HIB,373.47,409.86,349.30,407.73,254.40,404.95,75.86,306.46,362.27,357.63,410.46 "ClickHouse - 100M Rows Hits Dataset, Third Run (Queries/min, Geo Mean)",HIB,372.98,406.99,353.17,394.98,251.84,406.41,76.66,310.66,352.85,357.94,401.81 "CockroachDB - Workload: MoVR - Concurrency: 512 (ops/s)",HIB,641.8,761.0,570.5,763.4,195.9,766.8,126.8,574.8,438.2,698.0,765.2 "CockroachDB - Workload: KV, 10% Reads - Concurrency: 512 (ops/s)",HIB,44725.5,50217.2,43287.2,49015.5,41485.5,49340.4,11461.4,45780.3,47827.0,49459.9,49731.9 "CockroachDB - Workload: KV, 95% Reads - Concurrency: 512 (ops/s)",HIB,75876.4,86214.8,74380.0,86477.3,72179.6,82071.4,16811.8,75334.7,79962.2,81782.3,86045.2 "PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Only (TPS)",HIB,1288550,1306099,1292798,1286042,636088,1311837,318480,1037703,1291471,1124224,1285905 "PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency (ms)",LIB,0.390,0.383,0.387,0.389,0.796,0.381,1.571,0.490,0.389,0.445,0.389 "PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Only (TPS)",HIB,1248266,1241726,1245914,1240406,704929,1268688,317360,997742,1258066,1074500,1234869 "PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency (ms)",LIB,0.641,0.644,0.642,0.645,1.146,0.630,2.522,0.815,0.636,0.745,0.648 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Only (TPS)",HIB,1207540,1209033,1226429,1226743,714980,1230841,312245,955977,1237871,1082794,1202637 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency (ms)",LIB,0.828,0.827,0.815,0.815,1.411,0.812,3.203,1.069,0.808,0.924,0.832 "PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Write (TPS)",HIB,28873,35610,28682,32286,19298,32858,6686,32486,28016,29347,33019 "PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency (ms)",LIB,17.372,14.638,17.486,15.529,27.744,15.257,75.984,16.436,17.909,17.194,15.183 "PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Write (TPS)",HIB,24275,26830,24173,27596,12397,27880,5465,19056,23743,23493,27093 "PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency (ms)",LIB,32.961,29.823,33.129,29.000,66.387,28.715,146.572,41.988,33.723,34.059,29.537 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Write (TPS)",HIB,21978,24299,21522,26085,12613,24904,4973,17875,22567,22279,25252 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency (ms)",LIB,45.509,41.177,46.474,38.341,81.192,40.155,201.101,55.954,44.364,44.891,39.602 "PyBench - Total For Average Test Times (Milliseconds)",LIB,1003,998,1008,1010,987,1010,8775,1004,999,1006,1002