12100 august Intel Core i3-12100 testing with a ASRock B660M-HDV (6.02 BIOS) and Intel ADL-S GT1 16GB on Ubuntu 22.04 via the Phoronix Test Suite. A: Processor: Intel Core i3-12100 @ 5.50GHz (4 Cores / 8 Threads), Motherboard: ASRock B660M-HDV (6.02 BIOS), Chipset: Intel Device 7aa7, Memory: 16GB, Disk: 512GB Sabrent, Graphics: Intel ADL-S GT1 16GB (1400MHz), Audio: Realtek ALC897, Monitor: MX279, Network: Intel OS: Ubuntu 22.04, Kernel: 5.18.0-051800-generic (x86_64), Desktop: GNOME Shell 42.1, Display Server: X Server 1.20.14 + Wayland, OpenGL: 4.6 Mesa 22.0.1, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 B: Processor: Intel Core i3-12100 @ 5.50GHz (4 Cores / 8 Threads), Motherboard: ASRock B660M-HDV (6.02 BIOS), Chipset: Intel Device 7aa7, Memory: 16GB, Disk: 512GB Sabrent, Graphics: Intel ADL-S GT1 16GB (1400MHz), Audio: Realtek ALC897, Monitor: MX279, Network: Intel OS: Ubuntu 22.04, Kernel: 5.18.0-051800-generic (x86_64), Desktop: GNOME Shell 42.1, Display Server: X Server 1.20.14 + Wayland, OpenGL: 4.6 Mesa 22.0.1, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 Unvanquished 0.53 Resolution: 1920 x 1080 - Effects Quality: High Frames Per Second > Higher Is Better A . 204.9 |==================================================================== B . 204.2 |==================================================================== Unvanquished 0.53 Resolution: 1920 x 1080 - Effects Quality: Ultra Frames Per Second > Higher Is Better A . 106.6 |==================================================================== B . 106.8 |==================================================================== Unvanquished 0.53 Resolution: 1920 x 1080 - Effects Quality: Medium Frames Per Second > Higher Is Better A . 249.3 |==================================================================== B . 248.2 |==================================================================== Xonotic 0.8.5 Resolution: 1920 x 1080 - Effects Quality: Low Frames Per Second > Higher Is Better A . 381.64 |================================================================ B . 396.62 |=================================================================== Xonotic 0.8.5 Resolution: 1920 x 1080 - Effects Quality: High Frames Per Second > Higher Is Better A . 141.44 |================================================================= B . 145.86 |=================================================================== Xonotic 0.8.5 Resolution: 1920 x 1080 - Effects Quality: Ultra Frames Per Second > Higher Is Better A . 114.30 |================================================================== B . 116.65 |=================================================================== Xonotic 0.8.5 Resolution: 1920 x 1080 - Effects Quality: Ultimate Frames Per Second > Higher Is Better A . 89.26 |=================================================================== B . 90.33 |==================================================================== OpenFOAM 9 Input: motorBike Seconds < Lower Is Better OpenFOAM 9 Input: drivaerFastback, Small Mesh Size - Mesh Time Seconds < Lower Is Better A . 579.24 |=================================================================== B . 576.68 |=================================================================== OpenFOAM 9 Input: drivaerFastback, Small Mesh Size - Execution Time Seconds < Lower Is Better A . 4571.94 |================================================================== B . 4512.35 |================================================================= LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: 20k Atoms ns/day > Higher Is Better A . 2.579 |================================================================= B . 2.699 |==================================================================== LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: Rhodopsin Protein ns/day > Higher Is Better A . 4.131 |=================================================================== B . 4.201 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 0.597 |================================================================== B . 0.615 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 12.73 |================================================================ B . 13.48 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 10 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 39.23 |================================================================= B . 40.75 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 62.57 |================================================================== B . 64.29 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 2.181 |================================================================= B . 2.284 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 50.01 |=================================================================== B . 51.01 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 10 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 125.90 |================================================================= B . 129.39 |=================================================================== SVT-AV1 1.2 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 279.78 |================================================================== B . 285.39 |=================================================================== Primesieve 8.0 Length: 1e12 Seconds < Lower Is Better A . 74.69 |==================================================================== B . 71.10 |================================================================= Primesieve 8.0 Length: 1e13 Seconds < Lower Is Better A . 898.20 |=================================================================== B . 865.02 |================================================================= OSPRay Studio 0.11 Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better A . 35376 |==================================================================== B . 33901 |================================================================= OSPRay Studio 0.11 Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better A . 35906 |==================================================================== B . 34187 |================================================================= OSPRay Studio 0.11 Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better A . 42575 |==================================================================== B . 40350 |================================================================ OSPRay Studio 0.11 Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better A . 570360 |=================================================================== B . 546516 |================================================================ OSPRay Studio 0.11 Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better A . 1137556 |================================================================== B . 1095042 |================================================================ OSPRay Studio 0.11 Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better A . 574534 |=================================================================== B . 557385 |================================================================= OSPRay Studio 0.11 Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better A . 1156543 |================================================================== B . 1128878 |================================================================ OSPRay Studio 0.11 Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better A . 682981 |=================================================================== B . 672642 |================================================================== OSPRay Studio 0.11 Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better A . 1374897 |================================================================== B . 1338594 |================================================================ OSPRay Studio 0.11 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better A . 9188 |===================================================================== B . 8838 |================================================================== OSPRay Studio 0.11 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better A . 9118 |===================================================================== B . 8896 |=================================================================== OSPRay Studio 0.11 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better A . 10928 |==================================================================== B . 10523 |================================================================= OSPRay Studio 0.11 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better A . 146506 |=================================================================== B . 141069 |================================================================= OSPRay Studio 0.11 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better A . 290352 |=================================================================== B . 283066 |================================================================= OSPRay Studio 0.11 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better A . 147364 |=================================================================== B . 145390 |================================================================== OSPRay Studio 0.11 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better A . 292479 |=================================================================== B . 281742 |================================================================= OSPRay Studio 0.11 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better A . 173146 |=================================================================== B . 167510 |================================================================= OSPRay Studio 0.11 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better A . 344269 |=================================================================== B . 337989 |================================================================== Aircrack-ng 1.7 k/s > Higher Is Better A . 14613.35 |============================================================== B . 15240.03 |================================================================= Node.js V8 Web Tooling Benchmark runs/s > Higher Is Better A . 14.29 |==================================================================== B . 14.19 |==================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 5.80 |===================================================================== B . 5.49 |================================================================= Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Seconds < Lower Is Better A . 589.20 |=================================================================== B . 577.94 |================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 27.21 |==================================================================== B . 26.42 |================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Group By Test Time Seconds < Lower Is Better A . 4.12 |===================================================================== B . 3.96 |================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Repartition Test Time Seconds < Lower Is Better A . 4.86 |===================================================================== B . 4.81 |==================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Inner Join Test Time Seconds < Lower Is Better A . 3.34 |===================================================================== B . 3.08 |================================================================ Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 3.15 |===================================================================== B . 3.02 |================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 5.29 |============================================================== B . 5.87 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Seconds < Lower Is Better A . 587.02 |=================================================================== B . 581.73 |================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 28.46 |==================================================================== B . 27.50 |================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Group By Test Time Seconds < Lower Is Better A . 4.83 |============================================================== B . 5.36 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Repartition Test Time Seconds < Lower Is Better A . 5.92 |============================================== B . 8.81 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Inner Join Test Time Seconds < Lower Is Better A . 8.61 |===================================================================== B . 5.43 |============================================ Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 4.10 |===================================================================== B . 3.52 |=========================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 5.41 |============================================================= B . 6.13 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 589.80 |=================================================================== B . 587.50 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 28.39 |==================================================================== B . 28.39 |==================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Group By Test Time Seconds < Lower Is Better A . 6.98 |===================================================================== B . 6.52 |================================================================ Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Repartition Test Time Seconds < Lower Is Better A . 6.98 |================================================================= B . 7.40 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Inner Join Test Time Seconds < Lower Is Better A . 5.43 |===================================================================== B . 5.38 |==================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 4.71 |===================================================================== B . 4.72 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 6.96 |============================================================= B . 7.93 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 594.06 |=================================================================== B . 585.57 |================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 28.42 |==================================================================== B . 28.01 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Group By Test Time Seconds < Lower Is Better A . 6.95 |===================================================================== B . 6.15 |============================================================= Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Repartition Test Time Seconds < Lower Is Better A . 7.28 |=================================================================== B . 7.47 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Inner Join Test Time Seconds < Lower Is Better A . 6.39 |===================================================================== B . 5.61 |============================================================= Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 5.55 |=================================================================== B . 5.68 |===================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 33.50 |==================================================================== B . 32.72 |================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Seconds < Lower Is Better A . 590.84 |=================================================================== B . 582.66 |================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 27.98 |==================================================================== B . 27.64 |=================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Group By Test Time Seconds < Lower Is Better A . 16.80 |============================================================ B . 18.89 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Repartition Test Time Seconds < Lower Is Better A . 26.90 |==================================================================== B . 25.96 |================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Inner Join Test Time Seconds < Lower Is Better A . 30.07 |==================================================================== B . 28.78 |================================================================= Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 30.60 |==================================================================== B . 28.81 |================================================================ Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 31.53 |==================================================================== B . 30.72 |================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Seconds < Lower Is Better A . 587.66 |=================================================================== B . 588.33 |=================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 27.33 |==================================================================== B . 26.38 |================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Group By Test Time Seconds < Lower Is Better A . 15.86 |================================================================== B . 16.39 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Repartition Test Time Seconds < Lower Is Better A . 25.51 |================================================================== B . 26.11 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Inner Join Test Time Seconds < Lower Is Better A . 28.41 |==================================================================== B . 28.28 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 26.27 |================================================================= B . 27.57 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 58.42 |==================================================================== B . 58.78 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Seconds < Lower Is Better A . 584.33 |=================================================================== B . 582.94 |=================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 28.53 |==================================================================== B . 27.75 |================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Group By Test Time Seconds < Lower Is Better A . 25.53 |==================================================================== B . 25.02 |=================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Repartition Test Time Seconds < Lower Is Better A . 46.42 |==================================================================== B . 46.57 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Inner Join Test Time Seconds < Lower Is Better A . 54.45 |==================================================================== B . 53.98 |=================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 52.23 |==================================================================== B . 51.86 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 60.49 |=================================================================== B . 60.96 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Seconds < Lower Is Better A . 590.44 |=================================================================== B . 581.76 |================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 28.17 |==================================================================== B . 27.44 |================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Group By Test Time Seconds < Lower Is Better A . 24.54 |================================================================= B . 25.59 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Repartition Test Time Seconds < Lower Is Better A . 47.52 |==================================================================== B . 47.47 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Inner Join Test Time Seconds < Lower Is Better A . 54.21 |============================================================== B . 59.58 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 53.81 |================================================================ B . 57.45 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 118.24 |=================================================================== B . 115.94 |================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Seconds < Lower Is Better A . 589.89 |=================================================================== B . 579.46 |================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 27.84 |=================================================================== B . 28.07 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Group By Test Time Seconds < Lower Is Better A . 60.08 |=================================================================== B . 61.14 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Repartition Test Time Seconds < Lower Is Better A . 92.35 |==================================================================== B . 90.97 |=================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Inner Join Test Time Seconds < Lower Is Better A . 111.27 |=================================================================== B . 109.00 |================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 105.97 |=================================================================== B . 106.37 |=================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 116.34 |=================================================================== B . 114.73 |================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Seconds < Lower Is Better A . 591.67 |=================================================================== B . 578.77 |================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 26.74 |================================================================= B . 27.87 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Group By Test Time Seconds < Lower Is Better A . 57.36 |==================================================================== B . 56.74 |=================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Repartition Test Time Seconds < Lower Is Better A . 89.96 |==================================================================== B . 90.25 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Inner Join Test Time Seconds < Lower Is Better A . 112.97 |=================================================================== B . 106.61 |=============================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 105.89 |=================================================================== B . 106.29 |=================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 32.35 |==================================================================== B . 31.18 |================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 591.50 |=================================================================== B . 582.46 |================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 27.86 |=================================================================== B . 28.07 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Group By Test Time Seconds < Lower Is Better A . 15.78 |=================================================================== B . 16.05 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Repartition Test Time Seconds < Lower Is Better A . 26.09 |================================================================ B . 27.78 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Inner Join Test Time Seconds < Lower Is Better A . 29.38 |==================================================================== B . 29.11 |=================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 27.76 |==================================================================== B . 27.88 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 34.23 |==================================================================== B . 34.23 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 590.64 |=================================================================== B . 580.52 |================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 28.36 |==================================================================== B . 27.97 |=================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Group By Test Time Seconds < Lower Is Better A . 18.10 |==================================================================== B . 15.93 |============================================================ Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Repartition Test Time Seconds < Lower Is Better A . 25.94 |=================================================================== B . 26.22 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Inner Join Test Time Seconds < Lower Is Better A . 31.96 |==================================================================== B . 30.34 |================================================================= Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 29.07 |==================================================================== B . 27.56 |================================================================ Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 61.57 |==================================================================== B . 60.83 |=================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 588.84 |=================================================================== B . 579.90 |================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 28.74 |==================================================================== B . 27.98 |================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Group By Test Time Seconds < Lower Is Better A . 25.42 |==================================================================== B . 25.31 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Repartition Test Time Seconds < Lower Is Better A . 48.10 |================================================================== B . 49.47 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Inner Join Test Time Seconds < Lower Is Better A . 55.89 |==================================================================== B . 53.40 |================================================================= Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 54.09 |=================================================================== B . 54.58 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 62.24 |==================================================================== B . 60.84 |================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 586.14 |=================================================================== B . 580.31 |================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 27.66 |==================================================================== B . 26.72 |================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Group By Test Time Seconds < Lower Is Better A . 27.78 |==================================================================== B . 27.13 |================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Repartition Test Time Seconds < Lower Is Better A . 48.26 |==================================================================== B . 48.31 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Inner Join Test Time Seconds < Lower Is Better A . 58.32 |==================================================================== B . 56.18 |================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 55.35 |==================================================================== B . 54.05 |================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 115.23 |=================================================================== B . 113.14 |================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 593.74 |=================================================================== B . 580.62 |================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 27.43 |==================================================================== B . 27.01 |=================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Group By Test Time Seconds < Lower Is Better A . 58.16 |==================================================================== B . 56.90 |=================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Repartition Test Time Seconds < Lower Is Better A . 90.81 |==================================================================== B . 90.17 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Inner Join Test Time Seconds < Lower Is Better A . 108.54 |=================================================================== B . 108.35 |=================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 108.05 |=================================================================== B . 105.82 |================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 115.90 |=================================================================== B . 116.17 |=================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 589.12 |=================================================================== B . 580.07 |================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 27.86 |==================================================================== B . 27.94 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Group By Test Time Seconds < Lower Is Better A . 57.54 |==================================================================== B . 56.25 |================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Repartition Test Time Seconds < Lower Is Better A . 92.03 |==================================================================== B . 91.16 |=================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Inner Join Test Time Seconds < Lower Is Better A . 110.55 |=================================================================== B . 107.94 |================================================================= Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 105.91 |=================================================================== B . 103.94 |================================================================== ASTC Encoder 4.0 Preset: Fast MT/s > Higher Is Better A . 80.69 |==================================================================== B . 80.97 |==================================================================== ASTC Encoder 4.0 Preset: Medium MT/s > Higher Is Better A . 30.86 |=================================================================== B . 31.16 |==================================================================== ASTC Encoder 4.0 Preset: Thorough MT/s > Higher Is Better A . 3.4800 |=================================================================== B . 3.4988 |=================================================================== ASTC Encoder 4.0 Preset: Exhaustive MT/s > Higher Is Better A . 0.2127 |================================================================== B . 0.2160 |=================================================================== Inkscape Operation: SVG Files To PNG Seconds < Lower Is Better A . 19.44 |==================================================================== B . 19.35 |==================================================================== AI Benchmark Alpha 0.1.2 Device Inference Score Score > Higher Is Better A . 508 |===================================================================== B . 512 |====================================================================== AI Benchmark Alpha 0.1.2 Device Training Score Score > Higher Is Better A . 827 |====================================================================== B . 822 |====================================================================== AI Benchmark Alpha 0.1.2 Device AI Score Score > Higher Is Better A . 1335 |===================================================================== B . 1334 |=====================================================================