75f3 2p august 2 x AMD EPYC 75F3 32-Core testing with a ASRockRack ROME2D16-2T (P3.30 BIOS) and ASPEED on Ubuntu 21.10 via the Phoronix Test Suite. A: Processor: 2 x AMD EPYC 75F3 32-Core @ 2.95GHz (64 Cores / 128 Threads), Motherboard: ASRockRack ROME2D16-2T (P3.30 BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: 1000GB Western Digital WD_BLACK SN850 1TB, Graphics: ASPEED, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel 10G X550T OS: Ubuntu 21.10, Kernel: 5.19.0-rc2-phx-mglru-v12 (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server, Vulkan: 1.1.182, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 B: Processor: 2 x AMD EPYC 75F3 32-Core @ 2.95GHz (64 Cores / 128 Threads), Motherboard: ASRockRack ROME2D16-2T (P3.30 BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: 1000GB Western Digital WD_BLACK SN850 1TB, Graphics: ASPEED, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel 10G X550T OS: Ubuntu 21.10, Kernel: 5.19.0-rc2-phx-mglru-v12 (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server, Vulkan: 1.1.182, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 Aircrack-ng 1.7 k/s > Higher Is Better A . 277544.38 |================================================================ B . 277518.54 |================================================================ Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 3.91 |=================================================================== B . 4.01 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Seconds < Lower Is Better A . 23.77 |=================================================================== B . 23.95 |==================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 2.07 |========================================================== B . 2.45 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Group By Test Time Seconds < Lower Is Better A . 5.72 |================================================================== B . 6.00 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Repartition Test Time Seconds < Lower Is Better A . 2.11 |========================================================== B . 2.49 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Inner Join Test Time Seconds < Lower Is Better A . 2.37 |==================================================================== B . 2.40 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 1.44 |============================================================= B . 1.62 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 4.39 |==================================================================== B . 4.47 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Seconds < Lower Is Better A . 23.79 |==================================================================== B . 23.74 |==================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 2.13 |======================================================= B . 2.65 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Group By Test Time Seconds < Lower Is Better A . 6.17 |================================================================= B . 6.56 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Repartition Test Time Seconds < Lower Is Better A . 2.91 |===================================================================== B . 2.63 |============================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Inner Join Test Time Seconds < Lower Is Better A . 2.97 |===================================================================== B . 2.83 |================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 1.62 |========================================================== B . 1.92 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 4.43 |===================================================================== B . 4.43 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 23.70 |==================================================================== B . 23.81 |==================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 2.04 |======================================================= B . 2.58 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Group By Test Time Seconds < Lower Is Better A . 6.73 |===================================================================== B . 6.67 |==================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Repartition Test Time Seconds < Lower Is Better A . 2.57 |=================================================================== B . 2.64 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Inner Join Test Time Seconds < Lower Is Better A . 2.87 |===================================================================== B . 2.78 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 1.97 |===================================================================== B . 1.96 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 4.55 |==================================================================== B . 4.64 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 23.81 |==================================================================== B . 23.71 |==================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 2.39 |=============================================================== B . 2.62 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Group By Test Time Seconds < Lower Is Better A . 6.52 |================================================================= B . 6.94 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Repartition Test Time Seconds < Lower Is Better A . 3.12 |===================================================================== B . 3.04 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Inner Join Test Time Seconds < Lower Is Better A . 2.91 |============================================================= B . 3.31 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 3.02 |===================================================================== B . 2.53 |========================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 9.58 |==================================================================== B . 9.66 |===================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Seconds < Lower Is Better A . 23.77 |==================================================================== B . 23.87 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 2.15 |======================================================== B . 2.64 |===================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Group By Test Time Seconds < Lower Is Better A . 8.40 |===================================================================== B . 8.38 |===================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Repartition Test Time Seconds < Lower Is Better A . 5.28 |===================================================================== B . 5.04 |================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Inner Join Test Time Seconds < Lower Is Better A . 6.19 |===================================================================== B . 5.88 |================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 4.91 |===================================================================== B . 4.65 |================================================================= Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 10.44 |==================================================================== B . 10.39 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Seconds < Lower Is Better A . 24.06 |==================================================================== B . 24.06 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 2.16 |=============================================================== B . 2.37 |===================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Group By Test Time Seconds < Lower Is Better A . 10.01 |==================================================================== B . 9.39 |================================================================ Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Repartition Test Time Seconds < Lower Is Better A . 6.29 |===================================================================== B . 5.47 |============================================================ Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Inner Join Test Time Seconds < Lower Is Better A . 6.54 |================================================================== B . 6.84 |===================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 5.67 |===================================================================== B . 5.40 |================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 17.19 |==================================================================== B . 16.41 |================================================================= Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Seconds < Lower Is Better A . 24.03 |==================================================================== B . 23.89 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 3.42 |===================================================================== B . 2.28 |============================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Group By Test Time Seconds < Lower Is Better A . 13.32 |==================================================================== B . 13.16 |=================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Repartition Test Time Seconds < Lower Is Better A . 9.02 |=============================================================== B . 9.90 |===================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Inner Join Test Time Seconds < Lower Is Better A . 11.60 |==================================================================== B . 10.08 |=========================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 8.43 |===================================================================== B . 7.56 |============================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 16.72 |================================================================== B . 17.19 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Seconds < Lower Is Better A . 23.88 |=================================================================== B . 24.21 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 2.23 |========================================================= B . 2.69 |===================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Group By Test Time Seconds < Lower Is Better A . 14.36 |=================================================================== B . 14.47 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Repartition Test Time Seconds < Lower Is Better A . 9.07 |============================================================ B . 10.33 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Inner Join Test Time Seconds < Lower Is Better A . 12.12 |==================================================================== B . 10.62 |============================================================ Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 9.35 |===================================================================== B . 8.94 |================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 30.89 |==================================================================== B . 30.10 |================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Seconds < Lower Is Better A . 24.12 |==================================================================== B . 24.16 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 2.20 |================================================================= B . 2.35 |===================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Group By Test Time Seconds < Lower Is Better A . 18.94 |==================================================================== B . 18.71 |=================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Repartition Test Time Seconds < Lower Is Better A . 18.60 |==================================================================== B . 17.19 |=============================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Inner Join Test Time Seconds < Lower Is Better A . 18.10 |==================================================================== B . 17.25 |================================================================= Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 16.59 |==================================================================== B . 15.75 |================================================================= Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 30.49 |=================================================================== B . 30.93 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Seconds < Lower Is Better A . 23.95 |==================================================================== B . 24.06 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 2.19 |=========================================================== B . 2.54 |===================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Group By Test Time Seconds < Lower Is Better A . 21.82 |============================================================= B . 24.16 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Repartition Test Time Seconds < Lower Is Better A . 17.87 |==================================================================== B . 17.39 |================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Inner Join Test Time Seconds < Lower Is Better A . 17.52 |==================================================================== B . 17.61 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 17.53 |==================================================================== B . 17.36 |=================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 10.43 |================================================================== B . 10.67 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 24.14 |==================================================================== B . 24.11 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 2.59 |============================================================== B . 2.89 |===================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Group By Test Time Seconds < Lower Is Better A . 9.74 |===================================================================== B . 9.23 |================================================================= Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Repartition Test Time Seconds < Lower Is Better A . 5.24 |================================================================= B . 5.58 |===================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Inner Join Test Time Seconds < Lower Is Better A . 6.57 |================================================================== B . 6.88 |===================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 6.46 |===================================================================== B . 5.81 |============================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 10.85 |==================================================================== B . 10.88 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 24.08 |=================================================================== B . 24.29 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 2.69 |===================================================================== B . 2.59 |================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Group By Test Time Seconds < Lower Is Better A . 9.34 |===================================================================== B . 9.22 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Repartition Test Time Seconds < Lower Is Better A . 5.22 |================================================================ B . 5.61 |===================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Inner Join Test Time Seconds < Lower Is Better A . 8.01 |===================================================================== B . 6.70 |========================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 6.53 |===================================================================== B . 5.64 |============================================================ Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 16.94 |=================================================================== B . 17.29 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 24.04 |=================================================================== B . 24.32 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 3.11 |===================================================================== B . 2.24 |================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Group By Test Time Seconds < Lower Is Better A . 14.59 |==================================================================== B . 14.51 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Repartition Test Time Seconds < Lower Is Better A . 9.97 |===================================================================== B . 9.95 |===================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Inner Join Test Time Seconds < Lower Is Better A . 11.13 |========================================================= B . 13.33 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 9.84 |================================================================= B . 10.26 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 18.51 |==================================================================== B . 17.73 |================================================================= Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 24.14 |==================================================================== B . 24.04 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 2.20 |=================================================================== B . 2.28 |===================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Group By Test Time Seconds < Lower Is Better A . 13.95 |================================================================== B . 14.39 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Repartition Test Time Seconds < Lower Is Better A . 10.06 |==================================================================== B . 9.98 |=================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Inner Join Test Time Seconds < Lower Is Better A . 11.66 |==================================================================== B . 11.29 |================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 11.43 |==================================================================== B . 10.04 |============================================================ Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 30.99 |==================================================================== B . 30.92 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 24.13 |=================================================================== B . 24.39 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 2.05 |====================================================== B . 2.61 |===================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Group By Test Time Seconds < Lower Is Better A . 20.59 |============================================================ B . 23.46 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Repartition Test Time Seconds < Lower Is Better A . 18.18 |==================================================================== B . 17.67 |================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Inner Join Test Time Seconds < Lower Is Better A . 18.10 |=============================================================== B . 19.55 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 17.28 |================================================================== B . 17.73 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 30.73 |================================================================== B . 31.89 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 23.71 |=================================================================== B . 24.02 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 2.10 |================================================================ B . 2.27 |===================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Group By Test Time Seconds < Lower Is Better A . 25.36 |==================================================================== B . 21.19 |========================================================= Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Repartition Test Time Seconds < Lower Is Better A . 17.78 |================================================================= B . 18.55 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Inner Join Test Time Seconds < Lower Is Better A . 20.46 |==================================================================== B . 19.36 |================================================================ Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 18.45 |==================================================================== B . 18.11 |=================================================================== ASTC Encoder 4.0 Preset: Fast MT/s > Higher Is Better A . 815.35 |================================================================== B . 825.65 |=================================================================== ASTC Encoder 4.0 Preset: Medium MT/s > Higher Is Better A . 329.73 |=================================================================== B . 323.54 |================================================================== ASTC Encoder 4.0 Preset: Thorough MT/s > Higher Is Better A . 44.07 |==================================================================== B . 43.94 |==================================================================== ASTC Encoder 4.0 Preset: Exhaustive MT/s > Higher Is Better A . 4.7291 |=================================================================== B . 4.7445 |=================================================================== LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: 20k Atoms ns/day > Higher Is Better A . 26.47 |==================================================================== B . 26.20 |=================================================================== LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: Rhodopsin Protein ns/day > Higher Is Better A . 28.43 |==================================================================== B . 26.43 |=============================================================== Node.js V8 Web Tooling Benchmark runs/s > Higher Is Better A . 11.48 |================================================================== B . 11.78 |==================================================================== OpenFOAM 9 Input: motorBike - Mesh Time Seconds < Lower Is Better A . 36.81 |==================================================================== B . 36.90 |==================================================================== OpenFOAM 9 Input: motorBike - Execution Time Seconds < Lower Is Better A . 70.86 |==================================================================== B . 69.70 |=================================================================== OpenFOAM 9 Input: drivaerFastback, Large Mesh Size - Mesh Time Seconds < Lower Is Better A . 620.65 |=================================================================== B . 617.89 |=================================================================== OpenFOAM 9 Input: drivaerFastback, Large Mesh Size - Execution Time Seconds < Lower Is Better A . 9235.03 |================================================================== B . 9227.11 |================================================================== OpenFOAM 9 Input: drivaerFastback, Small Mesh Size - Mesh Time Seconds < Lower Is Better A . 96.90 |==================================================================== B . 97.14 |==================================================================== OpenFOAM 9 Input: drivaerFastback, Small Mesh Size - Execution Time Seconds < Lower Is Better A . 351.80 |=================================================================== B . 349.89 |=================================================================== OpenFOAM 9 Input: drivaerFastback, Medium Mesh Size - Mesh Time Seconds < Lower Is Better A . 96.99 |==================================================================== B . 97.45 |==================================================================== OpenFOAM 9 Input: drivaerFastback, Medium Mesh Size - Execution Time Seconds < Lower Is Better A . 351.81 |=================================================================== B . 350.57 |=================================================================== OSPRay Studio 0.11 Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better A . 1857 |===================================================================== B . 1857 |===================================================================== OSPRay Studio 0.11 Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better A . 1892 |===================================================================== B . 1890 |===================================================================== OSPRay Studio 0.11 Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better A . 2217 |===================================================================== B . 2208 |===================================================================== OSPRay Studio 0.11 Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better A . 29443 |==================================================================== B . 29595 |==================================================================== OSPRay Studio 0.11 Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better A . 64597 |==================================================================== B . 64975 |==================================================================== OSPRay Studio 0.11 Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better A . 30388 |==================================================================== B . 30225 |==================================================================== OSPRay Studio 0.11 Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better A . 65501 |==================================================================== B . 65702 |==================================================================== OSPRay Studio 0.11 Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better A . 35425 |==================================================================== B . 35397 |==================================================================== OSPRay Studio 0.11 Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better A . 75793 |==================================================================== B . 75817 |==================================================================== OSPRay Studio 0.11 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better A . 467 |====================================================================== B . 466 |====================================================================== OSPRay Studio 0.11 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better A . 475 |====================================================================== B . 476 |====================================================================== OSPRay Studio 0.11 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better A . 554 |====================================================================== B . 555 |====================================================================== OSPRay Studio 0.11 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better A . 7499 |===================================================================== B . 7449 |===================================================================== OSPRay Studio 0.11 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better A . 14968 |==================================================================== B . 15022 |==================================================================== OSPRay Studio 0.11 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better A . 7665 |===================================================================== B . 7626 |===================================================================== OSPRay Studio 0.11 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better A . 15274 |==================================================================== B . 15279 |==================================================================== OSPRay Studio 0.11 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better A . 8935 |===================================================================== B . 8888 |===================================================================== OSPRay Studio 0.11 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better A . 17928 |==================================================================== B . 17852 |==================================================================== Primesieve 8.0 Length: 1e12 Seconds < Lower Is Better A . 3.114 |=================================================================== B . 3.172 |==================================================================== Primesieve 8.0 Length: 1e13 Seconds < Lower Is Better A . 37.40 |==================================================================== B . 37.21 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 2.626 |==================================================================== B . 2.625 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 74.02 |==================================================================== B . 72.88 |=================================================================== SVT-AV1 1.2 Encoder Mode: Preset 10 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 126.83 |=================================================================== B . 126.06 |=================================================================== SVT-AV1 1.2 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 171.67 |=================================================================== B . 171.41 |=================================================================== SVT-AV1 1.2 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 6.896 |==================================================================== B . 6.815 |=================================================================== SVT-AV1 1.2 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 157.72 |=================================================================== B . 155.76 |================================================================== SVT-AV1 1.2 Encoder Mode: Preset 10 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 339.81 |=================================================================== B . 338.42 |=================================================================== SVT-AV1 1.2 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 507.10 |=================================================================== B . 500.45 |==================================================================