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
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

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

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Additional Graphs

Show Perf Per Clock Calculation Graphs Where Applicable

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  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
Invert Hiding All Results Option
  14 Hours, 8 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

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" "PHPBench - PHP Benchmark Suite (Score)",HIB,687682,697478,671207,700287,711125,701215,79570,705341,698785,708218,699816 "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 "PyBench - Total For Average Test Times (Milliseconds)",LIB,1003,998,1008,1010,987,1010,8775,1004,999,1006,1002 "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 - 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 - 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 "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 "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 "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 "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 "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,2853983,2905181,2863951,2980719,2836504,2815356,405614,2863742,3021171,2814269,2921572 "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 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,716703,726521,661420,733882,699228,746376,104287,739016,748549,740039,742955 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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: 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: 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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 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 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 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 "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: 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 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, 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: 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 "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 "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 "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 "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 "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 "OpenVKL - Benchmark: vklBenchmark Scalar (Items / Sec)",HIB,364,374,346,385,327,374,72,363,376,357,367 "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 "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,500471,522348,459617,514443,394982,530689,100970,485387,475861,507039,528289 "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 "OpenVKL - Benchmark: vklBenchmark ISPC (Items / Sec)",HIB,514,516,477,512,468,534,102,514,531,524,524 "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 "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: 800 - Mode: Read Write (TPS)",HIB,24275,26830,24173,27596,12397,27880,5465,19056,23743,23493,27093 "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 "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 "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 "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 "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 "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: 800 - Mode: Read Only (TPS)",HIB,1248266,1241726,1245914,1240406,704929,1268688,317360,997742,1258066,1074500,1234869 "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 "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 "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 "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: 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: 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 "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 "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: 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 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: 500 - Mode: Read Only (TPS)",HIB,1288550,1306099,1292798,1286042,636088,1311837,318480,1037703,1291471,1124224,1285905 "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 "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 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