12600k sept

Intel Core i5-12600K testing with a ASUS PRIME Z690-P WIFI D4 (0605 BIOS) and ASUS Intel ADL-S GT1 15GB on Ubuntu 22.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2209087-PTS-12600KSE38
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Timed Code Compilation 5 Tests
C/C++ Compiler Tests 6 Tests
Compression Tests 2 Tests
CPU Massive 9 Tests
Creator Workloads 7 Tests
Database Test Suite 6 Tests
Game Development 2 Tests
HPC - High Performance Computing 5 Tests
Machine Learning 4 Tests
Multi-Core 14 Tests
NVIDIA GPU Compute 2 Tests
Programmer / Developer System Benchmarks 7 Tests
Python Tests 4 Tests
Renderers 2 Tests
Server 7 Tests
Server CPU Tests 5 Tests
Common Workstation Benchmarks 2 Tests

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  Test
  Duration
A
September 07 2022
  1 Day, 7 Hours, 29 Minutes
B
September 08 2022
  1 Day, 7 Hours, 32 Minutes
C
September 08 2022
  1 Day, 6 Hours, 38 Minutes
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  1 Day, 7 Hours, 13 Minutes

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12600k sept, "Unpacking The Linux Kernel 5.19 - linux-5.19.tar.xz", Lower Results Are Better "A", "B", "C", "Unvanquished 0.53 - Resolution: 1920 x 1080 - Effects Quality: High", Higher Results Are Better "A", "B", "C", "Unvanquished 0.53 - Resolution: 1920 x 1200 - Effects Quality: High", Higher Results Are Better "A", "B", "C", "Unvanquished 0.53 - Resolution: 2560 x 1440 - Effects Quality: High", Higher Results Are Better "A", "B", "C", "Unvanquished 0.53 - Resolution: 3840 x 2160 - Effects Quality: High", Higher Results Are Better "A", "B", "C", "Unvanquished 0.53 - Resolution: 1920 x 1080 - Effects Quality: Ultra", Higher Results Are Better "A", "B", "C", "Unvanquished 0.53 - Resolution: 1920 x 1200 - Effects Quality: Ultra", Higher Results Are Better "A", "B", "C", "Unvanquished 0.53 - Resolution: 2560 x 1440 - Effects Quality: Ultra", Higher Results Are Better "A", "B", "C", "Unvanquished 0.53 - Resolution: 3840 x 2160 - Effects Quality: Ultra", Higher Results Are Better "A", "B", "C", "Unvanquished 0.53 - Resolution: 1920 x 1080 - Effects Quality: Medium", Higher Results Are Better "A", "B", "C", "Unvanquished 0.53 - Resolution: 1920 x 1200 - Effects Quality: Medium", Higher Results Are Better "A", "B", "C", "Unvanquished 0.53 - Resolution: 2560 x 1440 - Effects Quality: Medium", Higher Results Are Better "A", "B", "C", "Unvanquished 0.53 - Resolution: 3840 x 2160 - Effects Quality: Medium", Higher Results Are Better "A", "B", "C", "C-Blosc 2.3 - Test: blosclz shuffle", Higher Results Are Better "A", "B", "C", "C-Blosc 2.3 - Test: blosclz bitshuffle", Higher Results Are Better "A", "B", "C", "LAMMPS Molecular Dynamics Simulator 23Jun2022 - Model: 20k Atoms", Higher Results Are Better "A", "B", "C", "LAMMPS Molecular Dynamics Simulator 23Jun2022 - Model: Rhodopsin Protein", Higher Results Are Better "A", "B", "C", "srsRAN 22.04.1 - Test: OFDM_Test", Higher Results Are Better "A", "B", "C", "srsRAN 22.04.1 - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM", Higher Results Are Better "A", "B", "C", "srsRAN 22.04.1 - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM", Higher Results Are Better "A", "B", "C", "srsRAN 22.04.1 - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM", Higher Results Are Better "A", "B", "C", "srsRAN 22.04.1 - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM", Higher Results Are Better "A", "B", "C", "srsRAN 22.04.1 - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM", Higher Results Are Better "A", "B", "C", "srsRAN 22.04.1 - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM", Higher Results Are Better "A", "B", "C", "srsRAN 22.04.1 - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM", Higher Results Are Better "A", "B", "C", "srsRAN 22.04.1 - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM", Higher Results Are Better "A", "B", "C", "srsRAN 22.04.1 - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM", Higher Results Are Better "A", "B", "C", "srsRAN 22.04.1 - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM", Higher Results Are Better "A", "B", "C", "GraphicsMagick 1.3.38 - Operation: Swirl", Higher Results Are Better "A", "B", "C", "GraphicsMagick 1.3.38 - Operation: Rotate", Higher Results Are Better "A", "B", "C", "GraphicsMagick 1.3.38 - Operation: Sharpen", Higher Results Are Better "A", "B", "C", "GraphicsMagick 1.3.38 - Operation: Enhanced", Higher Results Are Better "A", "B", "C", "GraphicsMagick 1.3.38 - Operation: Resizing", Higher Results Are Better "A", "B", "C", "GraphicsMagick 1.3.38 - Operation: Noise-Gaussian", Higher Results Are Better "A", "B", "C", "GraphicsMagick 1.3.38 - Operation: HWB Color Space", Higher Results Are Better "A", "B", "C", "SVT-AV1 1.2 - Encoder Mode: Preset 4 - Input: Bosphorus 4K", Higher Results Are Better "A", "B", "C", "SVT-AV1 1.2 - Encoder Mode: Preset 8 - Input: Bosphorus 4K", Higher Results Are Better "A", "B", "C", "SVT-AV1 1.2 - Encoder Mode: Preset 10 - Input: Bosphorus 4K", Higher Results Are Better "A", "B", "C", "SVT-AV1 1.2 - Encoder Mode: Preset 12 - Input: Bosphorus 4K", Higher Results Are Better "A", "B", "C", "SVT-AV1 1.2 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p", Higher Results Are Better "A", "B", "C", "SVT-AV1 1.2 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p", Higher Results Are Better "A", "B", "C", "SVT-AV1 1.2 - Encoder Mode: Preset 10 - Input: Bosphorus 1080p", Higher Results Are Better "A", "B", "C", "SVT-AV1 1.2 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p", Higher Results Are Better "A", "B", "C", "7-Zip Compression 22.01 - Test: Compression Rating", Higher Results Are Better "A", "B", "C", "7-Zip Compression 22.01 - Test: Decompression Rating", Higher Results Are Better "A", "B", "C", "Timed Node.js Compilation 18.8 - Time To Compile", Lower Results Are Better "A", "B", "C", "Timed PHP Compilation 8.1.9 - Time To Compile", Lower Results Are Better "A", "B", "C", "Timed CPython Compilation 3.10.6 - Build Configuration: Default", Lower Results Are Better "A", "B", "C", "Timed CPython Compilation 3.10.6 - Build Configuration: Released Build, PGO + LTO Optimized", Lower Results Are Better "A", "B", "C", "Primesieve 8.0 - Length: 1e12", Lower Results Are Better "A", "B", "C", "Primesieve 8.0 - Length: 1e13", Lower Results Are Better "A", "B", "C", "Timed Erlang/OTP Compilation 25.0 - Time To Compile", Lower Results Are Better "A", "B", "C", "Timed Wasmer Compilation 2.3 - Time To Compile", Lower Results Are Better "A", "B", "C", "Aircrack-ng 1.7 - ", Higher Results Are Better "A", "B", "C", "Node.js V8 Web Tooling Benchmark - ", Higher Results Are Better "A", "B", "C", "etcd 3.5.4 - Test: PUT - Connections: 50 - Clients: 100", Higher Results Are Better "A", "B", "C", "etcd 3.5.4 - Test: PUT - Connections: 50 - Clients: 100 - Average Latency", Lower Results Are Better "A", "B", "C", "etcd 3.5.4 - Test: PUT - Connections: 100 - Clients: 100", Higher Results Are Better "A", "B", "C", "etcd 3.5.4 - Test: PUT - Connections: 100 - Clients: 100 - Average Latency", Lower Results Are Better "A", "B", "C", "etcd 3.5.4 - Test: PUT - Connections: 50 - Clients: 1000", Higher Results Are Better "A", "B", "C", "etcd 3.5.4 - Test: PUT - Connections: 50 - Clients: 1000 - Average Latency", Lower Results Are Better "A", "B", "C", "etcd 3.5.4 - Test: PUT - Connections: 500 - Clients: 100", Higher Results Are Better "A", "B", "C", "etcd 3.5.4 - Test: PUT - Connections: 500 - Clients: 100 - Average Latency", Lower Results Are Better "A", "B", "C", "etcd 3.5.4 - Test: PUT - Connections: 100 - Clients: 1000", Higher Results Are Better "A", "B", "C", "etcd 3.5.4 - Test: PUT - Connections: 100 - Clients: 1000 - Average Latency", Lower Results Are Better "A", "B", "C", "etcd 3.5.4 - Test: PUT - Connections: 500 - Clients: 1000", Higher Results Are Better "A", "B", "C", "etcd 3.5.4 - Test: PUT - Connections: 500 - Clients: 1000 - Average Latency", Lower Results Are Better "A", "B", "C", "etcd 3.5.4 - Test: RANGE - Connections: 50 - Clients: 100", Higher Results Are Better "A", "B", "C", "etcd 3.5.4 - Test: RANGE - Connections: 50 - Clients: 100 - Average Latency", Lower Results Are Better "A", "B", "C", "etcd 3.5.4 - Test: RANGE - Connections: 100 - Clients: 100", Higher Results Are Better "A", "B", "C", "etcd 3.5.4 - Test: RANGE - Connections: 100 - Clients: 100 - Average Latency", Lower Results Are Better "A", "B", "C", "etcd 3.5.4 - Test: RANGE - Connections: 50 - Clients: 1000", Higher Results Are Better "A", "B", "C", "etcd 3.5.4 - Test: RANGE - Connections: 50 - Clients: 1000 - Average Latency", Lower Results Are Better "A", "B", "C", "etcd 3.5.4 - Test: RANGE - Connections: 500 - Clients: 100", Higher Results Are Better "A", "B", "C", "etcd 3.5.4 - Test: RANGE - Connections: 500 - Clients: 100 - Average Latency", Lower Results Are Better "A", "B", "C", "etcd 3.5.4 - Test: RANGE - Connections: 100 - Clients: 1000", Higher Results Are Better "A", "B", "C", "etcd 3.5.4 - Test: RANGE - Connections: 100 - Clients: 1000 - Average Latency", Lower Results Are Better "A", "B", "C", "etcd 3.5.4 - Test: RANGE - Connections: 500 - Clients: 1000", Higher Results Are Better "A", "B", "C", "etcd 3.5.4 - Test: RANGE - Connections: 500 - Clients: 1000 - Average Latency", Lower Results Are Better "A", "B", "C", "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time", Lower Results Are Better "A",2.6940745390002 "B",2.8392660919999 "C",3.0140245549992 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark", Lower Results Are Better "A", "B", "C",123.94147324201 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe", Lower Results Are Better "A",6.9849708989996 "B",7.1175735819997 "C",7.0049562450004 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 100 - Group By Test Time", Lower Results Are Better "A",2.9426608940003 "B",2.8415345469984 "C",2.9475266030058 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 100 - Repartition Test Time", Lower Results Are Better "A",1.7496574590004 "B",1.8806694240047 "C",1.7647117029992 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 100 - Inner Join Test Time", Lower Results Are Better "A",1.4074250530002 "B",1.4391599359951 "C",1.422866983994 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time", Lower Results Are Better "A",1.1587541670006 "B",1.1072971009999 "C",1.1328632289951 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark Time", Lower Results Are Better "A",2.8943718609999 "B",2.9452749690026 "C",2.8325633729983 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark", Lower Results Are Better "A", "B", "C", "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe", Lower Results Are Better "A",6.9713999349997 "B",7.006782688004 "C",6.987665010005 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 500 - Group By Test Time", Lower Results Are Better "A",3.2697707859998 "B",3.2818061380021 "C",3.225707635007 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 500 - Repartition Test Time", Lower Results Are Better "A",1.8692788859998 "B",1.8961781129983 "C",1.8948624050099 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 500 - Inner Join Test Time", Lower Results Are Better "A",1.4425058530005 "B",1.3997035110006 "C",1.5658296129986 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test Time", Lower Results Are Better "A",1.3908683549998 "B",1.4415626629998 "C",1.3208983460063 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark Time", Lower Results Are Better "A",3.0700421450001 "B",3.0674393860027 "C",2.9804288720043 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark", Lower Results Are Better "A", "B",123.00166026501 "C", "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe", Lower Results Are Better "A",6.933313182999 "B",6.9521192989996 "C",6.9659221079928 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 1000 - Group By Test Time", Lower Results Are Better "A",3.4584866519999 "B",3.5240497470004 "C",3.475835699006 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 1000 - Repartition Test Time", Lower Results Are Better "A",1.9841517839996 "B",2.1099751610018 "C",2.0220821200055 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 1000 - Inner Join Test Time", Lower Results Are Better "A", "B",1.9205236330017 "C",1.8471148349927 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test Time", Lower Results Are Better "A",1.853061875001 "B",1.5407351239992 "C",1.4960905089974 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark Time", Lower Results Are Better "A",3.4084480700003 "B",3.3773934390047 "C",3.3681560330006 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark", Lower Results Are Better "A", "B",124.02830377501 "C",124.53052024101 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe", Lower Results Are Better "A",7.0015412200009 "B",6.9838624980039 "C",6.8732879250019 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 2000 - Group By Test Time", Lower Results Are Better "A",3.7782915759999 "B",3.7780675609974 "C",3.7835174280044 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 2000 - Repartition Test Time", Lower Results Are Better "A",2.3404367290004 "B",2.3091505199991 "C",2.3446419060056 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 2000 - Inner Join Test Time", Lower Results Are Better "A",2.3370115119997 "B",2.3595060400039 "C",2.192133493998 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test Time", Lower Results Are Better "A",2.0240759379994 "B",1.9058642969976 "C",1.9931923660042 "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark Time", Lower Results Are Better "A",12.434487418999 "B",12.503128862001 "C",12.461021020994 "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark", Lower Results Are Better "A", "B", "C",125.60446787701 "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe", Lower Results Are Better "A",6.9861736250004 "B",6.9819134369973 "C",7.0036096029944 "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 100 - Group By Test Time", Lower Results Are Better "A",6.061003888999 "B",6.3042571879996 "C",6.3639224409999 "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 100 - Repartition Test Time", Lower Results Are Better "A",8.5865008210003 "B",8.3961609559992 "C",8.4628234099946 "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 100 - Inner Join Test Time", Lower Results Are Better "A",10.222973127999 "B",10.196468821996 "C",10.061843652002 "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test Time", Lower Results Are Better "A", "B", "C",10.205299688008 "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark Time", Lower Results Are Better "A",12.226935899002 "B",12.026557462996 "C",11.979538715008 "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark", Lower Results Are Better "A", "B", "C",124.29477885101 "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe", Lower Results Are Better "A",6.9686306650001 "B",6.9191520880049 "C",6.917803614997 "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 500 - Group By Test Time", Lower Results Are Better "A",6.5051050410002 "B",6.2904486449988 "C",6.3925549519918 "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 500 - Repartition Test Time", Lower Results Are Better "A",7.9738011280006 "B",8.2382595239978 "C",8.0684257379908 "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 500 - Inner Join Test Time", Lower Results Are Better "A",9.2793194429996 "B",8.8735366059991 "C",8.9099670720025 "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 500 - Broadcast Inner Join Test Time", Lower Results Are Better "A",8.8558624940015 "B",9.0888745179982 "C",8.8004403180094 "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 100 - SHA-512 Benchmark Time", Lower Results Are Better "A", "B",22.982233324001 "C",23.015173979991 "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark", Lower Results Are Better "A", "B", "C",124.75727978699 "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe", Lower Results Are Better "A",7.0103885919998 "B",6.9478753389994 "C",6.992297003002 "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 100 - Group By Test Time", Lower Results Are Better "A",9.9076481800003 "B",10.028537673003 "C",9.6119496169995 "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 100 - Repartition Test Time", Lower Results Are Better "A", "B",15.995935769002 "C",16.169299353991 "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 100 - Inner Join Test Time", Lower Results Are Better "A", "B", "C",19.707613860999 "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test Time", Lower Results Are Better "A", "B",19.683544611005 "C",19.168307291009 "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark Time", Lower Results Are Better "A",21.979439691999 "B",21.597344121001 "C",21.55967101999 "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark", Lower Results Are Better "A", "B", "C",124.09961485201 "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe", Lower Results Are Better "A",6.9123705109996 "B",7.0199538629968 "C",6.9010277140042 "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 500 - Group By Test Time", Lower Results Are Better "A",9.0704087410013 "B",9.4883479119962 "C",9.1616899029905 "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 500 - Repartition Test Time", Lower Results Are Better "A",15.073353871001 "B",15.304930240003 "C",15.179180809006 "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 500 - Inner Join Test Time", Lower Results Are Better "A", "B",17.364300310997 "C",17.868073214006 "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 500 - Broadcast Inner Join Test Time", Lower Results Are Better "A", "B",17.882118471003 "C",16.866120410996 "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 100 - SHA-512 Benchmark Time", Lower Results Are Better "A", "B",41.574280724999 "C",41.345863035007 "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark", Lower Results Are Better "A", "B", "C", "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe", Lower Results Are Better "A",7.0000085640004 "B",7.0134540159997 "C",6.977043610008 "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 100 - Group By Test Time", Lower Results Are Better "A", "B",24.872466508998 "C",24.862314917991 "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 100 - Repartition Test Time", Lower Results Are Better "A",30.173688821998 "B",30.875625728004 "C",31.507219646999 "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 100 - Inner Join Test Time", Lower Results Are Better "A",34.195893092001 "B", "C",35.460229783988 "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 100 - Broadcast Inner Join Test Time", Lower Results Are Better "A",33.086359439001 "B",36.206796589999 "C",34.748688773005 "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 500 - SHA-512 Benchmark Time", Lower Results Are Better "A", "B",41.610220456998 "C",41.615740502006 "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark", Lower Results Are Better "A", "B", "C",124.08690637699 "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe", Lower Results Are Better "A",6.9578503230005 "B",6.9074440059994 "C",6.9433646549878 "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 500 - Group By Test Time", Lower Results Are Better "A",22.054663651999 "B",21.804236866999 "C",21.942994973011 "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 500 - Repartition Test Time", Lower Results Are Better "A", "B",30.634836575999 "C",30.668289690002 "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 500 - Inner Join Test Time", Lower Results Are Better "A", "B",35.596061179996 "C",35.026400022005 "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 500 - Broadcast Inner Join Test Time", Lower Results Are Better "A", "B",34.213890330997 "C",34.244764575997 "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark Time", Lower Results Are Better "A", "B",12.084826004997 "C",12.225632663001 "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark", Lower Results Are Better "A", "B", "C", "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe", Lower Results Are Better "A",6.9343589479995 "B",7.3010638880005 "C",6.9052721780026 "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 1000 - Group By Test Time", Lower Results Are Better "A", "B",6.3701022690002 "C",6.3332893860061 "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 1000 - Repartition Test Time", Lower Results Are Better "A",8.1921538210008 "B",8.0855474319978 "C",8.1471712920029 "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 1000 - Inner Join Test Time", Lower Results Are Better "A",9.4829148979989 "B",9.9202869240034 "C",9.4161341629951 "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test Time", Lower Results Are Better "A",8.8489877920001 "B",8.7166922049946 "C",8.8030351450143 "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark Time", Lower Results Are Better "A",12.453940119001 "B",12.987434198003 "C",12.439756874999 "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark", Lower Results Are Better "A", "B", "C",124.49042164901 "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe", Lower Results Are Better "A",6.9990472690006 "B",7.3641953640035 "C",6.8975529490126 "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 2000 - Group By Test Time", Lower Results Are Better "A",6.5834413339999 "B",6.8546078860018 "C",6.616686925001 "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 2000 - Repartition Test Time", Lower Results Are Better "A",8.4208471000002 "B",8.9261724050011 "C",8.4962626490014 "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 2000 - Inner Join Test Time", Lower Results Are Better "A",9.9931187910006 "B",10.571681366993 "C",9.7887350439996 "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test Time", Lower Results Are Better "A",9.1015827310002 "B",9.7103870099963 "C",9.1330465710053 "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 1000 - SHA-512 Benchmark Time", Lower Results Are Better "A", "B", "C",21.934861935995 "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark", Lower Results Are Better "A", "B", "C", "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe", Lower Results Are Better "A",6.9698820229987 "B",6.906512401998 "C",6.9295962000033 "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 1000 - Group By Test Time", Lower Results Are Better "A",9.4408922669991 "B",9.1297287279958 "C",9.4067960930115 "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 1000 - Repartition Test Time", Lower Results Are Better "A", "B",15.266430985001 "C", "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 1000 - Inner Join Test Time", Lower Results Are Better "A",17.732649522999 "B",17.627446753999 "C",17.812506704999 "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 1000 - Broadcast Inner Join Test Time", Lower Results Are Better "A", "B",17.050943998001 "C",16.774608346008 "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark Time", Lower Results Are Better "A", "B", "C",21.902477399999 "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark", Lower Results Are Better "A", "B", "C",124.00563626901 "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe", Lower Results Are Better "A",6.9387899989997 "B",6.9187003949992 "C",6.8976122699969 "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 2000 - Group By Test Time", Lower Results Are Better "A",9.4257778979991 "B",9.3668724170057 "C",9.2448352060019 "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 2000 - Repartition Test Time", Lower Results Are Better "A", "B",15.331755054998 "C",15.33851943801 "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 2000 - Inner Join Test Time", Lower Results Are Better "A",18.501257653001 "B",17.815523623998 "C",18.231072259994 "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 2000 - Broadcast Inner Join Test Time", Lower Results Are Better "A",16.888035762999 "B", "C",17.580724526997 "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 1000 - SHA-512 Benchmark Time", Lower Results Are Better "A", "B",41.686176497002 "C",41.530248139999 "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark", Lower Results Are Better "A", "B", "C", "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe", Lower Results Are Better "A",6.8805175260004 "B", "C",6.9602624690015 "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 1000 - Group By Test Time", Lower Results Are Better "A",21.420309900999 "B",20.999912006999 "C",20.950197344995 "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 1000 - Repartition Test Time", Lower Results Are Better "A", "B",30.074983742998 "C", "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 1000 - Inner Join Test Time", Lower Results Are Better "A",34.680152063002 "B",34.704852741997 "C",34.667189929998 "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 1000 - Broadcast Inner Join Test Time", Lower Results Are Better "A", "B",35.820266908006 "C",33.703662904998 "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 2000 - SHA-512 Benchmark Time", Lower Results Are Better "A",41.857266479001 "B",41.895161492001 "C",42.09241865699 "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark", Lower Results Are Better "A", "B", "C",125.33388713301 "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe", Lower Results Are Better "A",7.0629352350006 "B",7.009411342995 "C",6.8990966879937 "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 2000 - Group By Test Time", Lower Results Are Better "A", "B",21.050352925995 "C",21.070025128996 "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 2000 - Repartition Test Time", Lower Results Are Better "A", "B",29.670602539998 "C",29.46417703999 "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 2000 - Inner Join Test Time", Lower Results Are Better "A", "B",34.703486572005 "C",34.758430018992 "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 2000 - Broadcast Inner Join Test Time", Lower Results Are Better "A",36.446649953999 "B",34.608243932998 "C",35.533211321002 "Dragonflydb 0.6 - Clients: 50 - Set To Get Ratio: 1:1", Higher Results Are Better "A", "B", "C", "Dragonflydb 0.6 - Clients: 50 - Set To Get Ratio: 1:5", Higher Results Are Better "A", "B", "C", "Dragonflydb 0.6 - Clients: 50 - Set To Get Ratio: 5:1", Higher Results Are Better "A", "B", "C", "Dragonflydb 0.6 - Clients: 200 - Set To Get Ratio: 1:1", Higher Results Are Better "A", "B", "C", "Dragonflydb 0.6 - Clients: 200 - Set To Get Ratio: 1:5", Higher Results Are Better "A", "B", "C", "Dragonflydb 0.6 - Clients: 200 - Set To Get Ratio: 5:1", Higher Results Are Better "A", "B", "C", "Redis 7.0.4 - Test: GET - Parallel Connections: 50", Higher Results Are Better "A", "B", "C", "Redis 7.0.4 - Test: SET - Parallel Connections: 50", Higher Results Are Better "A", "B", "C", "Redis 7.0.4 - Test: GET - Parallel Connections: 500", Higher Results Are Better "A", "B", "C", "Redis 7.0.4 - Test: LPOP - Parallel Connections: 50", Higher Results Are Better "A", "B", "C", "Redis 7.0.4 - Test: SADD - Parallel Connections: 50", Higher Results Are Better "A", "B", "C", "Redis 7.0.4 - Test: SET - Parallel Connections: 500", Higher Results Are Better "A", "B", "C", "Redis 7.0.4 - Test: GET - Parallel Connections: 1000", Higher Results Are Better "A", "B", "C", "Redis 7.0.4 - Test: LPOP - Parallel Connections: 500", Higher Results Are Better "A", "B", "C", "Redis 7.0.4 - Test: LPUSH - Parallel Connections: 50", Higher Results Are Better "A", "B", "C", "Redis 7.0.4 - Test: SADD - Parallel Connections: 500", Higher Results Are Better "A", "B", "C", "Redis 7.0.4 - Test: SET - Parallel Connections: 1000", Higher Results Are Better "A", "B", "C", "Redis 7.0.4 - Test: LPOP - Parallel Connections: 1000", Higher Results Are Better "A", "B", "C", "Redis 7.0.4 - Test: LPUSH - Parallel Connections: 500", Higher Results Are Better "A", "B", "C", "Redis 7.0.4 - Test: SADD - Parallel Connections: 1000", Higher Results Are Better "A", "B", "C", "Redis 7.0.4 - Test: LPUSH - Parallel Connections: 1000", Higher Results Are Better "A", "B", "C", "ASTC Encoder 4.0 - Preset: Fast", Higher Results Are Better "A", "B", "C", "ASTC Encoder 4.0 - Preset: Medium", Higher Results Are Better "A", "B", "C", "ASTC Encoder 4.0 - Preset: Thorough", Higher Results Are Better "A", "B", "C", "ASTC Encoder 4.0 - Preset: Exhaustive", Higher Results Are Better "A", "B", "C", "memtier_benchmark 1.4 - Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:1", Higher Results Are Better "A", "B", "C", "memtier_benchmark 1.4 - Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5", Higher Results Are Better "A", "B", "C", "memtier_benchmark 1.4 - Protocol: Redis - Clients: 50 - Set To Get Ratio: 5:1", Higher Results Are Better "A", "B", "C", "memtier_benchmark 1.4 - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:1", Higher Results Are Better "A", "B", "C", "memtier_benchmark 1.4 - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5", Higher Results Are Better "A", "B", "C", "memtier_benchmark 1.4 - Protocol: Redis - Clients: 100 - Set To Get Ratio: 5:1", Higher Results Are Better "A", "B", "C", "memtier_benchmark 1.4 - Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10", Higher Results Are Better "A", "B", "C", "memtier_benchmark 1.4 - Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:1", Higher Results Are Better "A", "B", "C", "memtier_benchmark 1.4 - Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:5", Higher Results Are Better "A", "B", "C", "memtier_benchmark 1.4 - Protocol: Redis - Clients: 500 - Set To Get Ratio: 5:1", Higher Results Are Better "A", "B", "C", "memtier_benchmark 1.4 - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10", Higher Results Are Better "A", "B", "C", "memtier_benchmark 1.4 - Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:10", Higher Results Are Better "A", "B", "C", "Mobile Neural Network 2.1 - Model: nasnet", Lower Results Are Better "A", "B", "C", "Mobile Neural Network 2.1 - Model: mobilenetV3", Lower Results Are Better "A", "B", "C", "Mobile Neural Network 2.1 - Model: squeezenetv1.1", Lower Results Are Better "A", "B", "C", "Mobile Neural Network 2.1 - Model: resnet-v2-50", Lower Results Are Better "A", "B", "C", "Mobile Neural Network 2.1 - Model: SqueezeNetV1.0", Lower Results Are Better "A", "B", "C", "Mobile Neural Network 2.1 - Model: MobileNetV2_224", Lower Results Are Better "A", "B", "C", "Mobile Neural Network 2.1 - Model: mobilenet-v1-1.0", Lower Results Are Better "A", "B", "C", "Mobile Neural Network 2.1 - Model: inception-v3", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: CPU - Model: mobilenet", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: CPU-v2-v2 - Model: mobilenet-v2", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: CPU-v3-v3 - Model: mobilenet-v3", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: CPU - Model: shufflenet-v2", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: CPU - Model: mnasnet", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: CPU - Model: efficientnet-b0", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: CPU - Model: blazeface", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: CPU - Model: googlenet", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: CPU - Model: vgg16", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: CPU - Model: resnet18", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: CPU - Model: alexnet", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: CPU - Model: resnet50", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: CPU - Model: yolov4-tiny", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: CPU - Model: squeezenet_ssd", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: CPU - Model: regnety_400m", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: CPU - Model: vision_transformer", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: CPU - Model: FastestDet", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: Vulkan GPU - Model: mobilenet", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: Vulkan GPU - Model: shufflenet-v2", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: Vulkan GPU - Model: mnasnet", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: Vulkan GPU - Model: efficientnet-b0", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: Vulkan GPU - Model: blazeface", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: Vulkan GPU - Model: googlenet", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: Vulkan GPU - Model: vgg16", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: Vulkan GPU - Model: resnet18", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: Vulkan GPU - Model: alexnet", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: Vulkan GPU - Model: resnet50", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: Vulkan GPU - Model: yolov4-tiny", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: Vulkan GPU - Model: squeezenet_ssd", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: Vulkan GPU - Model: regnety_400m", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: Vulkan GPU - Model: vision_transformer", Lower Results Are Better "A", "B", "C", "NCNN 20220729 - Target: Vulkan GPU - Model: FastestDet", Lower Results Are Better "A", "B", "C", "Blender 3.3 - Blend File: BMW27 - Compute: CPU-Only", Lower Results Are Better "A", "B", "C", "Blender 3.3 - Blend File: Classroom - Compute: CPU-Only", Lower Results Are Better "A", "B", "C", "Blender 3.3 - Blend File: Fishy Cat - Compute: CPU-Only", Lower Results Are Better "A", "B", "C", "Blender 3.3 - Blend File: Barbershop - Compute: CPU-Only", Lower Results Are Better "A", "B", "C", "Blender 3.3 - Blend File: Pabellon Barcelona - Compute: CPU-Only", Lower Results Are Better "A", "B", "C", "OpenVINO 2022.2.dev - Model: Face Detection FP16 - Device: CPU", Higher Results Are Better "A", "B", "C", "OpenVINO 2022.2.dev - Model: Face Detection FP16 - Device: CPU", Lower Results Are Better "A", "B", "C", "OpenVINO 2022.2.dev - Model: Person Detection FP16 - Device: CPU", Higher Results Are Better "A", "B", "C", "OpenVINO 2022.2.dev - Model: Person Detection FP16 - Device: CPU", Lower Results Are Better "A", "B", "C", "OpenVINO 2022.2.dev - Model: Person Detection FP32 - Device: CPU", Higher Results Are Better "A", "B", "C", "OpenVINO 2022.2.dev - Model: Person Detection FP32 - Device: CPU", Lower Results Are Better "A", "B", "C", "OpenVINO 2022.2.dev - Model: Vehicle Detection FP16 - Device: CPU", Higher Results Are Better "A", "B", "C", "OpenVINO 2022.2.dev - Model: Vehicle Detection FP16 - Device: CPU", Lower Results Are Better "A", "B", "C", "OpenVINO 2022.2.dev - Model: Face Detection FP16-INT8 - Device: CPU", Higher Results Are Better "A", "B", "C", "OpenVINO 2022.2.dev - Model: Face Detection FP16-INT8 - Device: CPU", Lower Results Are Better "A", "B", "C", "OpenVINO 2022.2.dev - Model: Vehicle Detection FP16-INT8 - Device: CPU", Higher Results Are Better "A", "B", "C", "OpenVINO 2022.2.dev - Model: Vehicle Detection FP16-INT8 - Device: CPU", Lower Results Are Better "A", "B", "C", "OpenVINO 2022.2.dev - Model: Weld Porosity Detection FP16 - Device: CPU", Higher Results Are Better "A", "B", "C", "OpenVINO 2022.2.dev - Model: Weld Porosity Detection FP16 - Device: CPU", Lower Results Are Better "A", "B", "C", "OpenVINO 2022.2.dev - Model: Machine Translation EN To DE FP16 - Device: CPU", Higher Results Are Better "A", "B", "C", "OpenVINO 2022.2.dev - Model: Machine Translation EN To DE FP16 - Device: CPU", Lower Results Are Better "A", "B", "C", "OpenVINO 2022.2.dev - Model: Weld Porosity Detection FP16-INT8 - Device: CPU", Higher Results Are Better "A", "B", "C", "OpenVINO 2022.2.dev - Model: Weld Porosity Detection FP16-INT8 - Device: CPU", Lower Results Are Better "A", "B", "C", "OpenVINO 2022.2.dev - Model: Person Vehicle Bike Detection FP16 - Device: CPU", Higher Results Are Better "A", "B", "C", "OpenVINO 2022.2.dev - Model: Person Vehicle Bike Detection FP16 - Device: CPU", Lower Results Are Better "A", "B", "C", "OpenVINO 2022.2.dev - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU", Higher Results Are Better "A", "B", "C", "OpenVINO 2022.2.dev - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU", Lower Results Are Better "A", "B", "C", "OpenVINO 2022.2.dev - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU", Higher Results Are Better "A", "B", "C", "OpenVINO 2022.2.dev - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU", Lower Results Are Better "A", "B", "C", "Facebook RocksDB 7.5.3 - Test: Random Fill", Higher Results Are Better "A", "B", "C", "Facebook RocksDB 7.5.3 - Test: Random Read", Higher Results Are Better "A", "B", "C", "Facebook RocksDB 7.5.3 - Test: Update Random", Higher Results Are Better "A", "B", "C", "Facebook RocksDB 7.5.3 - Test: Sequential Fill", Higher Results Are Better "A", "B", "C", "Facebook RocksDB 7.5.3 - Test: Random Fill Sync", Higher Results Are Better "A", "B", "C", "Facebook RocksDB 7.5.3 - Test: Read While Writing", Higher Results Are Better "A", "B", "C", "Facebook RocksDB 7.5.3 - Test: Read Random Write Random", Higher Results Are Better "A", "B", "C", "Natron 2.4.3 - Input: Spaceship", Higher Results Are Better "A", "B", "C", "AI Benchmark Alpha 0.1.2 - Device Inference Score", Higher Results Are Better "A", "B", "C", "AI Benchmark Alpha 0.1.2 - Device Training Score", Higher Results Are Better "A", "B", "C", "AI Benchmark Alpha 0.1.2 - Device AI Score", Higher Results Are Better "A", "B", "C", "BRL-CAD 7.32.6 - VGR Performance Metric", Higher Results Are Better "A", "B", "C",