sfsd Intel Core i7-8700K testing with a ASUS TUF Z370-PLUS GAMING (2001 BIOS) and ASUS Intel UHD 630 CFL GT2 16GB on Ubuntu 22.04 via the Phoronix Test Suite. A: Processor: Intel Core i7-8700K @ 4.70GHz (6 Cores / 12 Threads), Motherboard: ASUS TUF Z370-PLUS GAMING (2001 BIOS), Chipset: Intel 8th Gen Core, Memory: 16GB, Disk: 128GB Toshiba THNSN5128GPU7, Graphics: ASUS Intel UHD 630 CFL GT2 16GB (1200MHz), Audio: Realtek ALC887-VD, Monitor: DELL S2409W, Network: Intel I219-V OS: Ubuntu 22.04, Kernel: 5.19.0-rc6-phx-retbleed (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server + 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 i7-8700K @ 4.70GHz (6 Cores / 12 Threads), Motherboard: ASUS TUF Z370-PLUS GAMING (2001 BIOS), Chipset: Intel 8th Gen Core, Memory: 16GB, Disk: 128GB Toshiba THNSN5128GPU7, Graphics: ASUS Intel UHD 630 CFL GT2 16GB (1200MHz), Audio: Realtek ALC887-VD, Monitor: DELL S2409W, Network: Intel I219-V OS: Ubuntu 22.04, Kernel: 5.19.0-rc6-phx-retbleed (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 C: Processor: Intel Core i7-8700K @ 4.70GHz (6 Cores / 12 Threads), Motherboard: ASUS TUF Z370-PLUS GAMING (2001 BIOS), Chipset: Intel 8th Gen Core, Memory: 16GB, Disk: 128GB Toshiba THNSN5128GPU7, Graphics: ASUS Intel UHD 630 CFL GT2 16GB (1200MHz), Audio: Realtek ALC887-VD, Monitor: DELL S2409W, Network: Intel I219-V OS: Ubuntu 22.04, Kernel: 5.19.0-rc6-phx-retbleed (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 Unpacking The Linux Kernel 5.19 linux-5.19.tar.xz Seconds < Lower Is Better A . 7.241 |==================================================================== B . 7.108 |=================================================================== C . 7.062 |================================================================== Unvanquished 0.53 Resolution: 1920 x 1080 - Effects Quality: High Frames Per Second > Higher Is Better A . 128.4 |================================================================= B . 132.7 |=================================================================== C . 134.9 |==================================================================== Unvanquished 0.53 Resolution: 1920 x 1080 - Effects Quality: Ultra Frames Per Second > Higher Is Better A . 57.0 |===================================================================== B . 56.6 |===================================================================== C . 57.0 |===================================================================== Unvanquished 0.53 Resolution: 1920 x 1080 - Effects Quality: Medium Frames Per Second > Higher Is Better A . 188.3 |==================================================================== B . 182.0 |================================================================== C . 179.2 |================================================================= C-Blosc 2.3 Test: blosclz shuffle MB/s > Higher Is Better A . 10148.2 |================================================================= B . 10174.6 |================================================================== C . 10229.1 |================================================================== C-Blosc 2.3 Test: blosclz bitshuffle MB/s > Higher Is Better A . 5989.0 |=================================================================== B . 5946.4 |=================================================================== C . 5977.6 |=================================================================== LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: Rhodopsin Protein ns/day > Higher Is Better A . 4.942 |==================================================================== B . 4.941 |==================================================================== C . 4.912 |==================================================================== GraphicsMagick 1.3.38 Operation: Swirl Iterations Per Minute > Higher Is Better A . 264 |====================================================================== B . 264 |====================================================================== C . 265 |====================================================================== GraphicsMagick 1.3.38 Operation: Rotate Iterations Per Minute > Higher Is Better A . 655 |====================================================================== B . 625 |=================================================================== C . 656 |====================================================================== GraphicsMagick 1.3.38 Operation: Sharpen Iterations Per Minute > Higher Is Better A . 91 |======================================================================= B . 91 |======================================================================= C . 91 |======================================================================= GraphicsMagick 1.3.38 Operation: Enhanced Iterations Per Minute > Higher Is Better A . 143 |====================================================================== B . 143 |====================================================================== C . 143 |====================================================================== GraphicsMagick 1.3.38 Operation: Resizing Iterations Per Minute > Higher Is Better A . 640 |====================================================================== B . 644 |====================================================================== C . 643 |====================================================================== GraphicsMagick 1.3.38 Operation: Noise-Gaussian Iterations Per Minute > Higher Is Better A . 172 |====================================================================== B . 172 |====================================================================== C . 172 |====================================================================== GraphicsMagick 1.3.38 Operation: HWB Color Space Iterations Per Minute > Higher Is Better A . 628 |===================================================================== B . 638 |====================================================================== C . 639 |====================================================================== SVT-AV1 1.2 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 1.195 |==================================================================== B . 1.203 |==================================================================== C . 1.201 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 24.94 |================================================================== B . 25.46 |=================================================================== C . 25.65 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 10 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 51.15 |================================================================= B . 53.32 |==================================================================== C . 53.41 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 76.44 |================================================================== B . 78.25 |==================================================================== C . 78.11 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 4.079 |==================================================================== B . 4.068 |==================================================================== C . 4.072 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 68.86 |==================================================================== B . 68.34 |=================================================================== C . 69.10 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 10 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 158.08 |=================================================================== B . 158.06 |=================================================================== C . 158.63 |=================================================================== SVT-AV1 1.2 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 285.72 |=================================================================== B . 285.84 |=================================================================== C . 286.00 |=================================================================== 7-Zip Compression 22.01 Test: Compression Rating MIPS > Higher Is Better A . 48196 |==================================================================== B . 48345 |==================================================================== C . 47249 |================================================================== 7-Zip Compression 22.01 Test: Decompression Rating MIPS > Higher Is Better A . 38738 |=================================================================== B . 39049 |==================================================================== C . 38962 |==================================================================== Timed Node.js Compilation 18.8 Time To Compile Seconds < Lower Is Better A . 957.97 |=================================================================== B . 957.36 |=================================================================== C . 955.95 |=================================================================== Timed PHP Compilation 8.1.9 Time To Compile Seconds < Lower Is Better A . 86.84 |==================================================================== B . 87.02 |==================================================================== C . 86.25 |=================================================================== Timed CPython Compilation 3.10.6 Build Configuration: Default Seconds < Lower Is Better A . 24.53 |==================================================================== B . 24.50 |==================================================================== C . 24.30 |=================================================================== Timed CPython Compilation 3.10.6 Build Configuration: Released Build, PGO + LTO Optimized Seconds < Lower Is Better A . 288.40 |=================================================================== B . 288.25 |=================================================================== C . 289.77 |=================================================================== Primesieve 8.0 Length: 1e12 Seconds < Lower Is Better A . 31.15 |==================================================================== B . 30.72 |=================================================================== C . 30.99 |==================================================================== Primesieve 8.0 Length: 1e13 Seconds < Lower Is Better A . 369.55 |================================================================= B . 373.92 |================================================================= C . 382.86 |=================================================================== Timed Erlang/OTP Compilation 25.0 Time To Compile Seconds < Lower Is Better A . 141.86 |=================================================================== B . 142.04 |=================================================================== C . 142.32 |=================================================================== Timed Wasmer Compilation 2.3 Time To Compile Seconds < Lower Is Better A . 87.61 |==================================================================== B . 86.67 |=================================================================== C . 85.90 |=================================================================== Aircrack-ng 1.7 k/s > Higher Is Better A . 23361.85 |================================================================= B . 23363.46 |================================================================= C . 23366.60 |================================================================= Node.js V8 Web Tooling Benchmark runs/s > Higher Is Better A . 12.16 |=================================================================== B . 12.43 |==================================================================== C . 12.14 |================================================================== ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, First Run / Cold Cache Queries Per Minute, Geo Mean > Higher Is Better A . 102.81 |=================================================================== B . 100.99 |================================================================== C . 100.03 |================================================================= ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, Second Run Queries Per Minute, Geo Mean > Higher Is Better A . 113.48 |=================================================================== B . 111.19 |================================================================= C . 113.79 |=================================================================== ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, Third Run Queries Per Minute, Geo Mean > Higher Is Better A . 115.74 |================================================================ B . 121.84 |=================================================================== C . 115.00 |=============================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 4.41 |===================================================================== B . 3.98 |============================================================== C . 4.24 |================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Seconds < Lower Is Better A . 265.15 |=================================================================== B . 263.54 |================================================================== C . 265.96 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 14.04 |==================================================================== B . 13.88 |=================================================================== C . 14.10 |==================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Group By Test Time Seconds < Lower Is Better A . 3.82 |================================================================== B . 3.99 |===================================================================== C . 3.90 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Repartition Test Time Seconds < Lower Is Better A . 3.31 |===================================================================== B . 3.10 |================================================================= C . 3.28 |==================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Inner Join Test Time Seconds < Lower Is Better A . 2.34 |===================================================================== B . 2.28 |=================================================================== C . 2.28 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 1.86 |================================================================== B . 1.93 |===================================================================== C . 1.91 |==================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 4.67 |===================================================================== B . 4.51 |================================================================== C . 4.69 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Seconds < Lower Is Better A . 264.23 |================================================================== B . 264.14 |================================================================== C . 266.50 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 13.91 |==================================================================== B . 13.78 |=================================================================== C . 14.00 |==================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Group By Test Time Seconds < Lower Is Better A . 4.48 |===================================================================== B . 4.30 |================================================================== C . 4.37 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Repartition Test Time Seconds < Lower Is Better A . 3.57 |===================================================================== B . 3.56 |===================================================================== C . 3.41 |================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Inner Join Test Time Seconds < Lower Is Better A . 2.57 |==================================================================== B . 2.45 |================================================================= C . 2.62 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 2.23 |================================================================= B . 2.34 |==================================================================== C . 2.37 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 4.664221858 |============================================================= B . 4.640000000 |============================================================ C . 4.760000000 |============================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 264.05 |=================================================================== B . 263.78 |================================================================== C . 266.03 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 14.07 |==================================================================== B . 14.10 |==================================================================== C . 14.11 |==================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Group By Test Time Seconds < Lower Is Better A . 4.80 |===================================================================== B . 4.48 |================================================================ C . 4.65 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Repartition Test Time Seconds < Lower Is Better A . 3.66 |===================================================================== B . 3.63 |==================================================================== C . 3.66 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Inner Join Test Time Seconds < Lower Is Better A . 2.80 |================================================================ B . 3.00 |===================================================================== C . 2.94 |==================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 2.56956962 |=============================================================== B . 2.40000000 |=========================================================== C . 2.52000000 |============================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 4.94 |================================================================ B . 5.31 |===================================================================== C . 5.32 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 263.65 |================================================================== B . 263.96 |=================================================================== C . 265.81 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 14.04 |=================================================================== B . 14.35 |==================================================================== C . 14.07 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Group By Test Time Seconds < Lower Is Better A . 5.23 |===================================================================== B . 5.26 |===================================================================== C . 5.03 |================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Repartition Test Time Seconds < Lower Is Better A . 4.06 |===================================================================== B . 3.92 |=================================================================== C . 4.03 |==================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Inner Join Test Time Seconds < Lower Is Better A . 3.598246173 |============================================================ B . 3.700000000 |============================================================== C . 3.620000000 |============================================================= Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 3.27 |================================================================ B . 3.55 |===================================================================== C . 3.38 |================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 18.72 |==================================================================== B . 18.70 |==================================================================== C . 18.64 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Seconds < Lower Is Better A . 263.65 |=================================================================== B . 263.14 |================================================================== C . 265.63 |=================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 14.05 |==================================================================== B . 14.05 |==================================================================== C . 13.96 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Group By Test Time Seconds < Lower Is Better A . 9.47 |===================================================================== B . 9.06 |================================================================== C . 9.34 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Repartition Test Time Seconds < Lower Is Better A . 13.81 |==================================================================== B . 13.47 |================================================================== C . 13.90 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Inner Join Test Time Seconds < Lower Is Better A . 15.78 |==================================================================== B . 15.50 |================================================================== C . 15.85 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 14.96 |================================================================= B . 14.63 |=============================================================== C . 15.68 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 17.86 |==================================================================== B . 17.76 |==================================================================== C . 17.89 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Seconds < Lower Is Better A . 263.75 |================================================================== B . 263.97 |================================================================== C . 266.28 |=================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 14.02 |==================================================================== B . 14.04 |==================================================================== C . 14.00 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Group By Test Time Seconds < Lower Is Better A . 9.05 |=================================================================== B . 8.99 |================================================================== C . 9.35 |===================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Repartition Test Time Seconds < Lower Is Better A . 13.14 |=================================================================== B . 13.26 |==================================================================== C . 13.29 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Inner Join Test Time Seconds < Lower Is Better A . 14.40 |================================================================= B . 14.94 |==================================================================== C . 14.96 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 13.44 |================================================================= B . 13.73 |================================================================== C . 14.14 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 35.44 |==================================================================== B . 34.93 |=================================================================== C . 34.57 |================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Seconds < Lower Is Better A . 264.38 |=================================================================== B . 265.85 |=================================================================== C . 265.83 |=================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 14.05 |==================================================================== B . 14.09 |==================================================================== C . 13.99 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Group By Test Time Seconds < Lower Is Better A . 14.97 |================================================================== B . 15.19 |=================================================================== C . 15.35 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Repartition Test Time Seconds < Lower Is Better A . 25.99 |================================================================== B . 25.17 |================================================================ C . 26.74 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Inner Join Test Time Seconds < Lower Is Better A . 29.61 |==================================================================== B . 28.94 |================================================================== C . 29.71 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 31.60 |==================================================================== B . 29.25 |=============================================================== C . 31.18 |=================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 33.70 |==================================================================== B . 33.75 |==================================================================== C . 33.71 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Seconds < Lower Is Better A . 263.64 |================================================================== B . 263.11 |================================================================== C . 265.92 |=================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 14.10 |==================================================================== B . 13.96 |=================================================================== C . 13.89 |=================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Group By Test Time Seconds < Lower Is Better A . 14.63 |================================================================= B . 15.19 |==================================================================== C . 14.78 |================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Repartition Test Time Seconds < Lower Is Better A . 24.88 |=============================================================== B . 26.84 |==================================================================== C . 24.56 |============================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Inner Join Test Time Seconds < Lower Is Better A . 29.19 |==================================================================== B . 28.79 |=================================================================== C . 28.32 |================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 28.70 |==================================================================== B . 28.75 |==================================================================== C . 27.69 |================================================================= Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 64.39 |=================================================================== B . 64.85 |=================================================================== C . 65.48 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Seconds < Lower Is Better A . 263.32 |================================================================== B . 263.85 |================================================================== C . 266.04 |=================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 13.94 |=================================================================== B . 14.02 |=================================================================== C . 14.19 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Group By Test Time Seconds < Lower Is Better A . 35.68 |=================================================================== B . 35.08 |================================================================== C . 36.32 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Repartition Test Time Seconds < Lower Is Better A . 51.92 |============================================================= B . 57.92 |==================================================================== C . 50.03 |=========================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Inner Join Test Time Seconds < Lower Is Better A . 58.60 |==================================================================== B . 58.34 |==================================================================== C . 57.94 |=================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 57.02 |================================================================== B . 56.92 |================================================================== C . 58.75 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 62.29 |==================================================================== B . 62.61 |==================================================================== C . 62.43 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Seconds < Lower Is Better A . 264.98 |=================================================================== B . 263.96 |================================================================== C . 266.71 |=================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 13.99 |==================================================================== B . 13.96 |==================================================================== C . 13.97 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Group By Test Time Seconds < Lower Is Better A . 34.58 |==================================================================== B . 34.54 |==================================================================== C . 34.29 |=================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Repartition Test Time Seconds < Lower Is Better A . 48.58 |==================================================================== B . 47.22 |================================================================== C . 48.18 |=================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Inner Join Test Time Seconds < Lower Is Better A . 55.31 |================================================================== B . 56.99 |==================================================================== C . 57.19 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 57.41 |==================================================================== B . 55.53 |================================================================== C . 54.76 |================================================================= Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 18.77 |=================================================================== B . 18.98 |==================================================================== C . 18.81 |=================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 263.35 |================================================================== B . 264.02 |================================================================== C . 266.07 |=================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 13.75 |=============================================================== B . 14.02 |================================================================ C . 14.80 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Group By Test Time Seconds < Lower Is Better A . 9.96 |=================================================================== B . 10.07 |==================================================================== C . 9.82 |================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Repartition Test Time Seconds < Lower Is Better A . 13.53 |=================================================================== B . 13.69 |==================================================================== C . 13.59 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Inner Join Test Time Seconds < Lower Is Better A . 15.05 |==================================================================== B . 15.16 |==================================================================== C . 15.10 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 14.51 |==================================================================== B . 14.59 |==================================================================== C . 14.23 |================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 18.73 |=================================================================== B . 18.90 |==================================================================== C . 18.80 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 266.10 |=================================================================== B . 263.79 |================================================================== C . 265.85 |=================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 14.20 |==================================================================== B . 13.80 |================================================================== C . 13.98 |=================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Group By Test Time Seconds < Lower Is Better A . 9.60 |================================================================ B . 10.10 |==================================================================== C . 10.15 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Repartition Test Time Seconds < Lower Is Better A . 13.67 |=================================================================== B . 13.78 |=================================================================== C . 13.90 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Inner Join Test Time Seconds < Lower Is Better A . 15.87 |================================================================= B . 16.04 |================================================================== C . 16.60 |==================================================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 14.59 |=================================================================== B . 14.71 |==================================================================== C . 14.57 |=================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 33.09 |==================================================================== B . 32.99 |==================================================================== C . 32.77 |=================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 264.54 |=================================================================== B . 264.30 |=================================================================== C . 265.99 |=================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 13.91 |=================================================================== B . 13.80 |================================================================== C . 14.12 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Group By Test Time Seconds < Lower Is Better A . 14.51 |==================================================================== B . 14.24 |================================================================== C . 14.58 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Repartition Test Time Seconds < Lower Is Better A . 24.35 |==================================================================== B . 23.97 |=================================================================== C . 24.45 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Inner Join Test Time Seconds < Lower Is Better A . 29.20 |==================================================================== B . 28.25 |================================================================== C . 27.81 |================================================================= Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 27.33 |=================================================================== B . 26.95 |================================================================== C . 27.76 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 33.48 |==================================================================== B . 33.37 |==================================================================== C . 33.54 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 265.64 |=================================================================== B . 266.23 |=================================================================== C . 266.71 |=================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 13.92 |==================================================================== B . 13.99 |==================================================================== C . 13.93 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Group By Test Time Seconds < Lower Is Better A . 15.34 |==================================================================== B . 14.74 |================================================================= C . 15.30 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Repartition Test Time Seconds < Lower Is Better A . 25.23 |==================================================================== B . 24.87 |=================================================================== C . 25.41 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Inner Join Test Time Seconds < Lower Is Better A . 29.12 |==================================================================== B . 28.99 |==================================================================== C . 29.13 |==================================================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 27.95 |================================================================== B . 28.79 |==================================================================== C . 27.65 |================================================================= Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 62.08 |==================================================================== B . 61.83 |==================================================================== C . 62.14 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 264.01 |================================================================== B . 262.92 |================================================================== C . 266.48 |=================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 14.00 |==================================================================== B . 13.99 |==================================================================== C . 13.95 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Group By Test Time Seconds < Lower Is Better A . 32.95 |================================================================== B . 33.87 |==================================================================== C . 33.18 |=================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Repartition Test Time Seconds < Lower Is Better A . 46.66 |=============================================================== B . 50.60 |==================================================================== C . 47.20 |=============================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Inner Join Test Time Seconds < Lower Is Better A . 59.05 |==================================================================== B . 55.65 |================================================================ C . 55.99 |================================================================ Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 58.10 |==================================================================== B . 56.38 |================================================================== C . 55.67 |================================================================= Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - SHA-512 Benchmark Time Seconds < Lower Is Better A . 61.26 |=================================================================== B . 61.72 |==================================================================== C . 61.87 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Seconds < Lower Is Better A . 263.77 |================================================================== B . 263.76 |================================================================== C . 266.18 |=================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better A . 13.86 |=============================================================== B . 14.87 |==================================================================== C . 13.88 |=============================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Group By Test Time Seconds < Lower Is Better A . 33.32 |=================================================================== B . 33.01 |================================================================== C . 33.89 |==================================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Repartition Test Time Seconds < Lower Is Better A . 50.01 |================================================================== B . 51.19 |==================================================================== C . 47.48 |=============================================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Inner Join Test Time Seconds < Lower Is Better A . 59.15 |================================================================== B . 60.76 |==================================================================== C . 58.05 |================================================================= Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Broadcast Inner Join Test Time Seconds < Lower Is Better A . 55.74 |==================================================================== B . 55.24 |=================================================================== C . 54.84 |=================================================================== Dragonflydb 0.6 Clients: 50 - Set To Get Ratio: 1:1 Ops/sec > Higher Is Better A . 1988043.90 |=============================================================== B . 1994368.21 |=============================================================== C . 1996857.54 |=============================================================== Dragonflydb 0.6 Clients: 50 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better A . 2144617.32 |=============================================================== B . 2154148.50 |=============================================================== C . 2159425.65 |=============================================================== Dragonflydb 0.6 Clients: 50 - Set To Get Ratio: 5:1 Ops/sec > Higher Is Better A . 1927867.31 |=============================================================== B . 1931122.18 |=============================================================== C . 1934424.72 |=============================================================== Dragonflydb 0.6 Clients: 200 - Set To Get Ratio: 1:1 Ops/sec > Higher Is Better A . 2087416.28 |=============================================================== B . 2051704.42 |============================================================== C . 2074466.95 |=============================================================== Dragonflydb 0.6 Clients: 200 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better A . 2211895.73 |=============================================================== B . 2194182.24 |============================================================== C . 2217552.26 |=============================================================== Dragonflydb 0.6 Clients: 200 - Set To Get Ratio: 5:1 Ops/sec > Higher Is Better A . 1992128.41 |============================================================== B . 2005750.94 |============================================================== C . 2032385.14 |=============================================================== Redis 7.0.4 Test: GET - Parallel Connections: 50 Requests Per Second > Higher Is Better A . 2732588.00 |============================================================ B . 2861609.25 |=============================================================== C . 2830668.70 |============================================================== Redis 7.0.4 Test: SET - Parallel Connections: 50 Requests Per Second > Higher Is Better A . 2361094.50 |=============================================================== B . 1924962.25 |=================================================== C . 2306357.42 |============================================================== Redis 7.0.4 Test: GET - Parallel Connections: 500 Requests Per Second > Higher Is Better A . 2815841.50 |=============================================================== B . 2823473.75 |=============================================================== C . 2799995.58 |============================================================== Redis 7.0.4 Test: LPOP - Parallel Connections: 50 Requests Per Second > Higher Is Better A . 3444536.75 |=============================================================== B . 2141549.50 |======================================= C . 3105232.87 |========================================================= Redis 7.0.4 Test: SADD - Parallel Connections: 50 Requests Per Second > Higher Is Better A . 2629399.25 |=============================================================== B . 2605961.25 |============================================================== C . 2552054.12 |============================================================= Redis 7.0.4 Test: SET - Parallel Connections: 500 Requests Per Second > Higher Is Better A . 2331370.00 |=============================================================== B . 2327680.00 |=============================================================== C . 2201393.84 |=========================================================== Redis 7.0.4 Test: GET - Parallel Connections: 1000 Requests Per Second > Higher Is Better A . 2912617.00 |=============================================================== B . 2347019.00 |=================================================== C . 2732949.30 |=========================================================== Redis 7.0.4 Test: LPOP - Parallel Connections: 500 Requests Per Second > Higher Is Better A . 3301260.75 |=============================================================== B . 2035452.62 |======================================= C . 3208768.77 |============================================================= Redis 7.0.4 Test: LPUSH - Parallel Connections: 50 Requests Per Second > Higher Is Better A . 1906321.12 |=============================================================== B . 1786065.12 |=========================================================== C . 1878914.92 |============================================================== Redis 7.0.4 Test: SADD - Parallel Connections: 500 Requests Per Second > Higher Is Better A . 2627615.75 |=============================================================== B . 2492194.50 |============================================================ C . 2568888.29 |============================================================== Redis 7.0.4 Test: SET - Parallel Connections: 1000 Requests Per Second > Higher Is Better A . 2074037.50 |=========================================================== B . 2222163.25 |=============================================================== C . 2226848.23 |=============================================================== Redis 7.0.4 Test: LPOP - Parallel Connections: 1000 Requests Per Second > Higher Is Better A . 2090338.50 |=============================================================== B . 2043605.62 |============================================================== C . 2028878.43 |============================================================= Redis 7.0.4 Test: LPUSH - Parallel Connections: 500 Requests Per Second > Higher Is Better A . 2046449.25 |=============================================================== B . 1778839.88 |======================================================= C . 1933436.95 |============================================================ Redis 7.0.4 Test: SADD - Parallel Connections: 1000 Requests Per Second > Higher Is Better A . 2609105.50 |=============================================================== B . 2158587.25 |==================================================== C . 2594956.17 |=============================================================== Redis 7.0.4 Test: LPUSH - Parallel Connections: 1000 Requests Per Second > Higher Is Better A . 1848508.38 |============================================================ B . 1897336.00 |============================================================= C . 1945768.33 |=============================================================== ASTC Encoder 4.0 Preset: Fast MT/s > Higher Is Better A . 100.64 |=================================================================== B . 100.34 |=================================================================== C . 100.22 |=================================================================== ASTC Encoder 4.0 Preset: Medium MT/s > Higher Is Better A . 37.18 |==================================================================== B . 37.23 |==================================================================== C . 37.19 |==================================================================== ASTC Encoder 4.0 Preset: Thorough MT/s > Higher Is Better A . 4.7866 |=================================================================== B . 4.7876 |=================================================================== C . 4.7847 |=================================================================== ASTC Encoder 4.0 Preset: Exhaustive MT/s > Higher Is Better A . 0.4897 |=================================================================== B . 0.4895 |=================================================================== C . 0.4859 |================================================================== Inkscape Operation: SVG Files To PNG Seconds < Lower Is Better A . 27.85 |==================================================================== B . 27.97 |==================================================================== C . 27.67 |=================================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:1 Ops/sec > Higher Is Better A . 1945581.31 |=============================================================== B . 1711625.32 |======================================================= C . 1819804.24 |=========================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better A . 1989301.28 |=============================================================== B . 1942966.66 |============================================================== C . 1929613.47 |============================================================= memtier_benchmark 1.4 Protocol: Redis - Clients: 50 - Set To Get Ratio: 5:1 Ops/sec > Higher Is Better A . 1726134.01 |=============================================================== B . 1713885.81 |=============================================================== C . 1695938.52 |============================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:1 Ops/sec > Higher Is Better A . 1806170.52 |=============================================================== B . 1761644.31 |============================================================= C . 1813065.59 |=============================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better A . 1970123.24 |=============================================================== B . 1919288.21 |============================================================= C . 1943695.24 |============================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 100 - Set To Get Ratio: 5:1 Ops/sec > Higher Is Better A . 1716481.41 |============================================================== B . 1737144.54 |=============================================================== C . 1711961.58 |============================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better A . 1950043.18 |=============================================================== B . 1899683.69 |============================================================= C . 1944401.05 |=============================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:1 Ops/sec > Higher Is Better A . 1623068.24 |=============================================================== B . 1593958.74 |============================================================== C . 1620962.12 |=============================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better A . 1761822.77 |=============================================================== B . 1772298.56 |=============================================================== C . 1720148.88 |============================================================= memtier_benchmark 1.4 Protocol: Redis - Clients: 500 - Set To Get Ratio: 5:1 Ops/sec > Higher Is Better A . 1512323.24 |============================================================== B . 1533754.23 |=============================================================== C . 1545189.59 |=============================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better A . 1992499.12 |============================================================== B . 2022525.58 |=============================================================== C . 1996437.79 |============================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better A . 1790527.72 |=============================================================== B . 1789992.05 |=============================================================== C . 1748466.51 |============================================================== Mobile Neural Network 2.1 Model: nasnet ms < Lower Is Better A . 13.32 |================================================================== B . 13.65 |==================================================================== C . 13.10 |================================================================= Mobile Neural Network 2.1 Model: mobilenetV3 ms < Lower Is Better A . 1.635 |=================================================================== B . 1.650 |==================================================================== C . 1.636 |=================================================================== Mobile Neural Network 2.1 Model: squeezenetv1.1 ms < Lower Is Better A . 3.379 |=================================================================== B . 3.399 |==================================================================== C . 3.408 |==================================================================== Mobile Neural Network 2.1 Model: resnet-v2-50 ms < Lower Is Better A . 35.39 |==================================================================== B . 35.30 |==================================================================== C . 35.28 |==================================================================== Mobile Neural Network 2.1 Model: SqueezeNetV1.0 ms < Lower Is Better A . 4.867 |==================================================================== B . 4.851 |==================================================================== C . 4.877 |==================================================================== Mobile Neural Network 2.1 Model: MobileNetV2_224 ms < Lower Is Better A . 3.066 |=================================================================== B . 3.123 |==================================================================== C . 3.080 |=================================================================== Mobile Neural Network 2.1 Model: mobilenet-v1-1.0 ms < Lower Is Better A . 4.259 |==================================================================== B . 4.271 |==================================================================== C . 4.275 |==================================================================== Mobile Neural Network 2.1 Model: inception-v3 ms < Lower Is Better A . 33.98 |==================================================================== B . 33.95 |==================================================================== C . 33.91 |==================================================================== NCNN 20220729 Target: CPU - Model: mobilenet ms < Lower Is Better A . 15.52 |==================================================================== B . 15.59 |==================================================================== C . 15.61 |==================================================================== NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better A . 4.64 |===================================================================== B . 4.60 |==================================================================== C . 4.62 |===================================================================== NCNN 20220729 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better A . 3.59 |===================================================================== B . 3.57 |==================================================================== C . 3.61 |===================================================================== NCNN 20220729 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better A . 3.31 |===================================================================== B . 3.18 |================================================================== C . 3.32 |===================================================================== NCNN 20220729 Target: CPU - Model: mnasnet ms < Lower Is Better A . 3.47 |===================================================================== B . 3.41 |==================================================================== C . 3.48 |===================================================================== NCNN 20220729 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better A . 6.82 |===================================================================== B . 6.78 |==================================================================== C . 6.84 |===================================================================== NCNN 20220729 Target: CPU - Model: blazeface ms < Lower Is Better A . 1.10 |===================================================================== B . 1.10 |===================================================================== C . 1.10 |===================================================================== NCNN 20220729 Target: CPU - Model: googlenet ms < Lower Is Better A . 12.35 |==================================================================== B . 12.27 |=================================================================== C . 12.38 |==================================================================== NCNN 20220729 Target: CPU - Model: vgg16 ms < Lower Is Better A . 55.23 |==================================================================== B . 55.21 |==================================================================== C . 55.11 |==================================================================== NCNN 20220729 Target: CPU - Model: resnet18 ms < Lower Is Better A . 10.26 |==================================================================== B . 10.27 |==================================================================== C . 10.26 |==================================================================== NCNN 20220729 Target: CPU - Model: alexnet ms < Lower Is Better A . 8.23 |===================================================================== B . 8.24 |===================================================================== C . 8.23 |===================================================================== NCNN 20220729 Target: CPU - Model: resnet50 ms < Lower Is Better A . 21.18 |==================================================================== B . 21.05 |==================================================================== C . 21.03 |==================================================================== NCNN 20220729 Target: CPU - Model: yolov4-tiny ms < Lower Is Better A . 24.34 |==================================================================== B . 24.35 |==================================================================== C . 24.31 |==================================================================== NCNN 20220729 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better A . 16.35 |==================================================================== B . 16.34 |==================================================================== C . 16.33 |==================================================================== NCNN 20220729 Target: CPU - Model: regnety_400m ms < Lower Is Better A . 10.19 |==================================================================== B . 10.00 |================================================================== C . 10.23 |==================================================================== NCNN 20220729 Target: CPU - Model: vision_transformer ms < Lower Is Better A . 230.15 |=================================================================== B . 228.89 |=================================================================== C . 228.59 |=================================================================== NCNN 20220729 Target: CPU - Model: FastestDet ms < Lower Is Better A . 3.97 |===================================================================== B . 3.86 |=================================================================== C . 3.97 |===================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better A . 1.97 |===================================================================== B . 1.98 |===================================================================== C . 1.93 |=================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU ms < Lower Is Better A . 2022.73 |================================================================= B . 2019.27 |================================================================= C . 2056.36 |================================================================== OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better A . 1.23 |===================================================================== B . 1.23 |===================================================================== C . 1.18 |================================================================== OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU ms < Lower Is Better A . 3200.37 |================================================================ B . 3196.88 |================================================================ C . 3310.58 |================================================================== OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better A . 1.24 |===================================================================== B . 1.20 |=================================================================== C . 1.17 |================================================================= OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU ms < Lower Is Better A . 3194.29 |=============================================================== B . 3299.94 |================================================================= C . 3338.27 |================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better A . 106.65 |========================================================== B . 122.98 |=================================================================== C . 119.13 |================================================================= OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better A . 37.49 |==================================================================== B . 32.50 |=========================================================== C . 33.55 |============================================================= OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better A . 3.80 |===================================================================== B . 3.81 |===================================================================== C . 3.63 |================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better A . 1051.99 |=============================================================== B . 1049.73 |=============================================================== C . 1100.09 |================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better A . 219.33 |=================================================================== B . 220.79 |=================================================================== C . 213.97 |================================================================= OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better A . 18.22 |================================================================== B . 18.10 |================================================================== C . 18.68 |==================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better A . 193.90 |================================================================== B . 195.66 |=================================================================== C . 183.65 |=============================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better A . 20.61 |================================================================ B . 20.43 |================================================================ C . 21.76 |==================================================================== OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better A . 21.96 |==================================================================== B . 22.06 |==================================================================== C . 21.00 |================================================================= OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better A . 182.00 |================================================================ B . 181.13 |================================================================ C . 190.39 |=================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better A . 380.40 |=================================================================== B . 380.42 |=================================================================== C . 364.28 |================================================================ OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better A . 15.76 |================================================================= B . 15.76 |================================================================= C . 16.46 |==================================================================== OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better A . 247.67 |=================================================================== B . 246.98 |=================================================================== C . 242.22 |================================================================== OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better A . 16.13 |=================================================================== B . 16.18 |=================================================================== C . 16.49 |==================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better A . 5321.40 |================================================================== B . 5297.96 |================================================================== C . 5106.22 |=============================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better A . 1.11 |================================================================== B . 1.12 |=================================================================== C . 1.16 |===================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better A . 9929.88 |================================================================== B . 9884.04 |================================================================== C . 9454.83 |=============================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better A . 0.60 |================================================================== B . 0.60 |================================================================== C . 0.63 |===================================================================== Natron 2.4.3 Input: Spaceship FPS > Higher Is Better A . 2.1 |====================================================================== B . 2.1 |====================================================================== C . 2.1 |====================================================================== AI Benchmark Alpha 0.1.2 Device Inference Score Score > Higher Is Better A . 962 |====================================================================== B . 965 |====================================================================== C . 949 |===================================================================== AI Benchmark Alpha 0.1.2 Device Training Score Score > Higher Is Better A . 986 |====================================================================== B . 985 |====================================================================== C . 984 |====================================================================== AI Benchmark Alpha 0.1.2 Device AI Score Score > Higher Is Better A . 1948 |===================================================================== B . 1950 |===================================================================== C . 1933 |====================================================================