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
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",