xeon aug Intel Xeon Silver 4216 testing with a TYAN S7100AG2NR (V4.02 BIOS) and ASPEED on Debian 11 via the Phoronix Test Suite. A: Processor: Intel Xeon Silver 4216 @ 3.20GHz (16 Cores / 32 Threads), Motherboard: TYAN S7100AG2NR (V4.02 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 46GB, Disk: 240GB Corsair Force MP500, Graphics: ASPEED, Audio: Realtek ALC892, Network: 2 x Intel I350 OS: Debian 11, Kernel: 5.10.0-10-amd64 (x86_64), Display Server: X Server, Vulkan: 1.0.2, Compiler: GCC 10.2.1 20210110, File-System: ext4, Screen Resolution: 1024x768 B: Processor: Intel Xeon Silver 4216 @ 3.20GHz (16 Cores / 32 Threads), Motherboard: TYAN S7100AG2NR (V4.02 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 46GB, Disk: 240GB Corsair Force MP500, Graphics: ASPEED, Audio: Realtek ALC892, Network: 2 x Intel I350 OS: Debian 11, Kernel: 5.10.0-10-amd64 (x86_64), Display Server: X Server, Vulkan: 1.0.2, Compiler: GCC 10.2.1 20210110, File-System: ext4, Screen Resolution: 1024x768 LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: 20k Atoms ns/day > Higher Is Better A . 8.357 |==================================================================== B . 8.337 |==================================================================== LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: Rhodopsin Protein ns/day > Higher Is Better A . 7.790 |================================================================= B . 8.157 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 1.175 |==================================================================== B . 1.180 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 29.27 |==================================================================== B . 28.99 |=================================================================== SVT-AV1 1.2 Encoder Mode: Preset 10 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 55.52 |=================================================================== B . 56.24 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 84.27 |==================================================================== B . 84.68 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 3.076 |==================================================================== B . 3.094 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 64.45 |================================================================== B . 66.05 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 10 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 142.25 |=================================================================== B . 139.88 |================================================================== SVT-AV1 1.2 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 169.97 |================================================================= B . 175.25 |=================================================================== Primesieve 8.0 Length: 1e12 Seconds < Lower Is Better A . 18.38 |==================================================================== B . 18.43 |==================================================================== Primesieve 8.0 Length: 1e13 Seconds < Lower Is Better A . 218.43 |=================================================================== B . 218.03 |=================================================================== Aircrack-ng 1.7 k/s > Higher Is Better A . 37537.18 |================================================================= B . 37546.30 |================================================================= Node.js V8 Web Tooling Benchmark runs/s > Higher Is Better A . 8.37 |===================================================================== B . 8.34 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 4.87 |===================================================================== B . 4.55 |================================================================ Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Seconds < Lower Is Better A . 165.53 |=================================================================== B . 164.86 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 9.32 |===================================================================== B . 9.36 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Group By Test Time Seconds < Lower Is Better A . 5.95 |==================================================================== B . 6.06 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Repartition Test Time Seconds < Lower Is Better A . 2.08 |=========================================================== B . 2.44 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Inner Join Test Time Seconds < Lower Is Better A . 2.27 |================================================================= B . 2.41 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 1.71 |==================================================== B . 2.26 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 4.98 |===================================================================== B . 4.72 |================================================================= Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Seconds < Lower Is Better A . 165.22 |=================================================================== B . 163.86 |================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 9.17 |==================================================================== B . 9.34 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Group By Test Time Seconds < Lower Is Better A . 5.71 |=================================================================== B . 5.90 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Repartition Test Time Seconds < Lower Is Better A . 2.53 |==================================================================== B . 2.56 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Inner Join Test Time Seconds < Lower Is Better A . 2.04 |================================================================ B . 2.19 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 1.60 |================================================================== B . 1.67 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 4.82 |===================================================================== B . 4.71 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 165.26 |=================================================================== B . 165.02 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 9.249047968 |============================================================== B . 9.220000000 |============================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Group By Test Time Seconds < Lower Is Better A . 5.95 |===================================================================== B . 5.97 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Repartition Test Time Seconds < Lower Is Better A . 2.44 |===================================================================== B . 2.36 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Inner Join Test Time Seconds < Lower Is Better A . 2.42 |===================================================================== B . 2.26 |================================================================ Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 1.87 |=================================================================== B . 1.92 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 5.044554868 |============================================================== B . 5.050000000 |============================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 164.41 |=================================================================== B . 164.27 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 9.167490585 |============================================================== B . 9.180000000 |============================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Group By Test Time Seconds < Lower Is Better A . 6.47 |===================================================================== B . 6.37 |==================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Repartition Test Time Seconds < Lower Is Better A . 2.87 |===================================================================== B . 2.81 |==================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Inner Join Test Time Seconds < Lower Is Better A . 3.14 |==================================================================== B . 3.18 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 2.72 |===================================================================== B . 2.64 |=================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 14.68 |==================================================================== B . 14.71 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Seconds < Lower Is Better A . 166.79 |=================================================================== B . 166.83 |=================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 9.18 |===================================================================== B . 9.22 |===================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Group By Test Time Seconds < Lower Is Better A . 10.77 |==================================================================== B . 10.31 |================================================================= Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Repartition Test Time Seconds < Lower Is Better A . 9.07 |=================================================================== B . 9.39 |===================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Inner Join Test Time Seconds < Lower Is Better A . 11.01 |============================================================= B . 12.35 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 11.22 |=================================================================== B . 11.35 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 14.08 |==================================================================== B . 13.75 |================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Seconds < Lower Is Better A . 164.41 |=================================================================== B . 164.42 |=================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 9.31 |===================================================================== B . 9.28 |===================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Group By Test Time Seconds < Lower Is Better A . 8.75 |================================================================== B . 9.19 |===================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Repartition Test Time Seconds < Lower Is Better A . 8.83 |=================================================================== B . 9.12 |===================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Inner Join Test Time Seconds < Lower Is Better A . 10.22 |============================================================= B . 11.40 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 9.93 |=================================================================== B . 10.01 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 25.56 |================================================================= B . 26.75 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Seconds < Lower Is Better A . 164.54 |=================================================================== B . 165.10 |=================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 9.26 |===================================================================== B . 9.17 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Group By Test Time Seconds < Lower Is Better A . 14.11 |=================================================================== B . 14.31 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Repartition Test Time Seconds < Lower Is Better A . 17.74 |==================================================================== B . 17.63 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Inner Join Test Time Seconds < Lower Is Better A . 21.62 |================================================================== B . 22.34 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 22.78 |==================================================================== B . 21.77 |================================================================= Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 22.90 |================================================================ B . 24.25 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Seconds < Lower Is Better A . 165.43 |=================================================================== B . 164.55 |=================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 9.134482679 |============================================================= B . 9.220000000 |============================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Group By Test Time Seconds < Lower Is Better A . 12.22 |=================================================================== B . 12.33 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Repartition Test Time Seconds < Lower Is Better A . 16.39 |=================================================================== B . 16.70 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Inner Join Test Time Seconds < Lower Is Better A . 19.63 |==================================================================== B . 19.75 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 18.85 |================================================================= B . 19.85 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 47.38 |================================================================= B . 49.67 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Seconds < Lower Is Better A . 166.12 |=================================================================== B . 166.55 |=================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 9.19 |===================================================================== B . 9.14 |===================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Group By Test Time Seconds < Lower Is Better A . 33.53 |==================================================================== B . 33.73 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Repartition Test Time Seconds < Lower Is Better A . 34.88 |==================================================================== B . 34.38 |=================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Inner Join Test Time Seconds < Lower Is Better A . 42.60 |==================================================================== B . 42.30 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 43.38 |=================================================================== B . 43.93 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 47.70 |================================================================== B . 49.13 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Seconds < Lower Is Better A . 167.07 |=================================================================== B . 167.29 |=================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 9.25 |===================================================================== B . 9.14 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Group By Test Time Seconds < Lower Is Better A . 32.06 |=================================================================== B . 32.64 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Repartition Test Time Seconds < Lower Is Better A . 32.23 |================================================================= B . 33.67 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Inner Join Test Time Seconds < Lower Is Better A . 39.91 |================================================================= B . 41.46 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 41.68 |==================================================================== B . 41.50 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 16.00 |==================================================================== B . 14.78 |=============================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 164.57 |=================================================================== B . 165.17 |=================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 9.23 |===================================================================== B . 9.01 |=================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Group By Test Time Seconds < Lower Is Better A . 9.77 |==================================================================== B . 9.86 |===================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Repartition Test Time Seconds < Lower Is Better A . 9.26 |=================================================================== B . 9.48 |===================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Inner Join Test Time Seconds < Lower Is Better A . 11.35 |==================================================================== B . 11.21 |=================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 11.06 |==================================================================== B . 10.82 |=================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 14.81 |=================================================================== B . 15.04 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 166.53 |=================================================================== B . 166.29 |=================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 9.22 |===================================================================== B . 9.16 |===================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Group By Test Time Seconds < Lower Is Better A . 10.13 |==================================================================== B . 10.18 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Repartition Test Time Seconds < Lower Is Better A . 8.96 |===================================================================== B . 8.77 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Inner Join Test Time Seconds < Lower Is Better A . 12.40 |==================================================================== B . 11.54 |=============================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 12.09 |==================================================================== B . 11.50 |================================================================= Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 24.08 |==================================================================== B . 24.00 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 165.23 |=================================================================== B . 163.87 |================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 9.140000000 |============================================================= B . 9.222602799 |============================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Group By Test Time Seconds < Lower Is Better A . 13.44 |=================================================================== B . 13.66 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Repartition Test Time Seconds < Lower Is Better A . 16.39 |==================================================================== B . 16.43 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Inner Join Test Time Seconds < Lower Is Better A . 20.75 |==================================================================== B . 20.83 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 20.88 |==================================================================== B . 20.88 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 26.73 |==================================================================== B . 23.92 |============================================================= Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 164.38 |=================================================================== B . 164.55 |=================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 9.15 |===================================================================== B . 9.14 |===================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Group By Test Time Seconds < Lower Is Better A . 13.45 |=================================================================== B . 13.72 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Repartition Test Time Seconds < Lower Is Better A . 16.21 |================================================================ B . 17.11 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Inner Join Test Time Seconds < Lower Is Better A . 22.68 |==================================================================== B . 22.00 |================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 20.02 |==================================================================== B . 20.16 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 45.38 |==================================================================== B . 42.31 |=============================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 164.77 |=================================================================== B . 165.08 |=================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 9.22 |===================================================================== B . 9.18 |===================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Group By Test Time Seconds < Lower Is Better A . 30.14 |==================================================================== B . 29.97 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Repartition Test Time Seconds < Lower Is Better A . 32.84 |==================================================================== B . 31.72 |================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Inner Join Test Time Seconds < Lower Is Better A . 39.19 |=================================================================== B . 39.64 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 38.64 |==================================================================== B . 38.02 |=================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 45.64 |==================================================================== B . 43.15 |================================================================ Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 164.63 |=================================================================== B . 164.71 |=================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 9.30 |===================================================================== B . 9.20 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Group By Test Time Seconds < Lower Is Better A . 27.79 |==================================================================== B . 26.82 |================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Repartition Test Time Seconds < Lower Is Better A . 32.17 |==================================================================== B . 31.96 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Inner Join Test Time Seconds < Lower Is Better A . 42.16 |==================================================================== B . 41.04 |================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 37.78 |==================================================================== B . 37.98 |==================================================================== ASTC Encoder 4.0 Preset: Fast MT/s > Higher Is Better A . 143.28 |=================================================================== B . 143.09 |=================================================================== ASTC Encoder 4.0 Preset: Medium MT/s > Higher Is Better A . 53.54 |==================================================================== B . 53.54 |==================================================================== ASTC Encoder 4.0 Preset: Thorough MT/s > Higher Is Better A . 6.9001 |=================================================================== B . 6.9138 |=================================================================== ASTC Encoder 4.0 Preset: Exhaustive MT/s > Higher Is Better A . 0.6972 |=================================================================== B . 0.6968 |===================================================================