13600k Intel Core i5-13600K testing with a ASUS PRIME Z790-P WIFI (0602 BIOS) and AMD Radeon RX 6800 XT 16GB on Ubuntu 22.10 via the Phoronix Test Suite. a: Processor: Intel Core i5-13600K @ 3.80GHz (14 Cores / 20 Threads), Motherboard: ASUS PRIME Z790-P WIFI (0602 BIOS), Chipset: Intel Device 7a27, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: AMD Radeon RX 6800 XT 16GB (2575/1000MHz), Audio: Realtek ALC897, Monitor: ASUS VP28U, Network: Realtek RTL8125 2.5GbE + Intel Device 7a70 OS: Ubuntu 22.10, Kernel: 5.19.0-23-generic (x86_64), Desktop: GNOME Shell 43.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.2.1 (LLVM 15.0.2 DRM 3.47), Vulkan: 1.3.224, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160 DDraceNetwork 16.3.2 Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: Vulkan - Zoom: Default - Demo: RaiNyMore2 Frames Per Second > Higher Is Better a . 4761.02 |================================================================== DDraceNetwork 16.3.2 Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: Vulkan - Zoom: Default - Demo: Multeasymap Frames Per Second > Higher Is Better a . 5547.36 |================================================================== Tesseract 2014-05-12 Resolution: 1920 x 1080 Frames Per Second > Higher Is Better a . 993.29 |=================================================================== Unvanquished 0.53 Resolution: 1920 x 1080 - Effects Quality: Medium Frames Per Second > Higher Is Better a . 656.6 |==================================================================== Warsow 2.5 Beta Resolution: 800 x 600 Frames Per Second > Higher Is Better a . 945.5 |==================================================================== Xonotic 0.8.5 Resolution: 1920 x 1080 - Effects Quality: Low Frames Per Second > Higher Is Better a . 832.28 |=================================================================== QuantLib 1.21 MFLOPS > Higher Is Better a . 4645 |===================================================================== High Performance Conjugate Gradient 3.1 GFLOP/s > Higher Is Better a . 8.32913 |================================================================== NAS Parallel Benchmarks 3.4 Test / Class: BT.C Total Mop/s > Higher Is Better a . 33823.86 |================================================================= NAS Parallel Benchmarks 3.4 Test / Class: CG.C Total Mop/s > Higher Is Better a . 7899.89 |================================================================== NAS Parallel Benchmarks 3.4 Test / Class: EP.C Total Mop/s > Higher Is Better a . 1727.13 |================================================================== NAS Parallel Benchmarks 3.4 Test / Class: EP.D Total Mop/s > Higher Is Better a . 1727.16 |================================================================== NAS Parallel Benchmarks 3.4 Test / Class: FT.C Total Mop/s > Higher Is Better a . 19831.11 |================================================================= NAS Parallel Benchmarks 3.4 Test / Class: IS.D Total Mop/s > Higher Is Better a . 1344.7 |=================================================================== NAS Parallel Benchmarks 3.4 Test / Class: LU.C Total Mop/s > Higher Is Better a . 34627.34 |================================================================= NAS Parallel Benchmarks 3.4 Test / Class: MG.C Total Mop/s > Higher Is Better a . 24461.65 |================================================================= NAS Parallel Benchmarks 3.4 Test / Class: SP.B Total Mop/s > Higher Is Better a . 15235.42 |================================================================= NAS Parallel Benchmarks 3.4 Test / Class: SP.C Total Mop/s > Higher Is Better a . 11506.88 |================================================================= Rodinia 3.1 Test: OpenMP LavaMD Seconds < Lower Is Better a . 131.33 |=================================================================== Rodinia 3.1 Test: OpenMP HotSpot3D Seconds < Lower Is Better a . 58.39 |==================================================================== Rodinia 3.1 Test: OpenMP Leukocyte Seconds < Lower Is Better a . 56.67 |==================================================================== Rodinia 3.1 Test: OpenMP CFD Solver Seconds < Lower Is Better a . 10.41 |==================================================================== Rodinia 3.1 Test: OpenMP Streamcluster Seconds < Lower Is Better a . 15.89 |==================================================================== NAMD 2.14 ATPase Simulation - 327,506 Atoms days/ns < Lower Is Better a . 0.89556 |================================================================== Polyhedron Fortran Benchmarks Benchmark: ac Seconds < Lower Is Better a . 4.21 |===================================================================== Polyhedron Fortran Benchmarks Benchmark: air Seconds < Lower Is Better a . 1.05 |===================================================================== Polyhedron Fortran Benchmarks Benchmark: mdbx Seconds < Lower Is Better a . 3.38 |===================================================================== Polyhedron Fortran Benchmarks Benchmark: doduc Seconds < Lower Is Better a . 3.76 |===================================================================== Polyhedron Fortran Benchmarks Benchmark: linpk Seconds < Lower Is Better a . 1.64 |===================================================================== Polyhedron Fortran Benchmarks Benchmark: tfft2 Seconds < Lower Is Better a . 11.71 |==================================================================== Polyhedron Fortran Benchmarks Benchmark: aermod Seconds < Lower Is Better a . 3.1 |====================================================================== Polyhedron Fortran Benchmarks Benchmark: rnflow Seconds < Lower Is Better a . 10.68 |==================================================================== Polyhedron Fortran Benchmarks Benchmark: induct2 Seconds < Lower Is Better a . 12.37 |==================================================================== Polyhedron Fortran Benchmarks Benchmark: protein Seconds < Lower Is Better a . 7.73 |===================================================================== Polyhedron Fortran Benchmarks Benchmark: capacita Seconds < Lower Is Better a . 5.58 |===================================================================== Polyhedron Fortran Benchmarks Benchmark: channel2 Seconds < Lower Is Better a . 30.59 |==================================================================== Polyhedron Fortran Benchmarks Benchmark: fatigue2 Seconds < Lower Is Better a . 24.39 |==================================================================== Polyhedron Fortran Benchmarks Benchmark: gas_dyn2 Seconds < Lower Is Better a . 32.23 |==================================================================== Polyhedron Fortran Benchmarks Benchmark: test_fpu2 Seconds < Lower Is Better a . 16.14 |==================================================================== Polyhedron Fortran Benchmarks Benchmark: mp_prop_design Seconds < Lower Is Better a . 28.81 |==================================================================== NWChem 7.0.2 Input: C240 Buckyball Seconds < Lower Is Better a . 5019.9 |=================================================================== OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Mesh Time Seconds < Lower Is Better a . 35.69 |==================================================================== OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Execution Time Seconds < Lower Is Better a . 225.44 |=================================================================== OpenRadioss 2022.10.13 Model: Bumper Beam Seconds < Lower Is Better a . 152.01 |=================================================================== OpenRadioss 2022.10.13 Model: Cell Phone Drop Test Seconds < Lower Is Better a . 103.79 |=================================================================== OpenRadioss 2022.10.13 Model: Bird Strike on Windshield Seconds < Lower Is Better a . 249.7 |==================================================================== OpenRadioss 2022.10.13 Model: Rubber O-Ring Seal Installation Seconds < Lower Is Better a . 171.06 |=================================================================== Xmrig 6.18.1 Variant: Monero - Hash Count: 1M H/s > Higher Is Better a . 7391.3 |=================================================================== Xmrig 6.18.1 Variant: Wownero - Hash Count: 1M H/s > Higher Is Better a . 10920.4 |================================================================== Chia Blockchain VDF 1.0.7 Test: Square Plain C++ IPS > Higher Is Better a . 226700 |=================================================================== Chia Blockchain VDF 1.0.7 Test: Square Assembly Optimized IPS > Higher Is Better a . 250500 |=================================================================== Java Gradle Build Gradle Build: Reactor Seconds < Lower Is Better a . 161.96 |=================================================================== DaCapo Benchmark 9.12-MR1 Java Test: H2 msec < Lower Is Better a . 1818 |===================================================================== DaCapo Benchmark 9.12-MR1 Java Test: Jython msec < Lower Is Better a . 1881 |===================================================================== DaCapo Benchmark 9.12-MR1 Java Test: Eclipse msec < Lower Is Better DaCapo Benchmark 9.12-MR1 Java Test: Tradesoap msec < Lower Is Better a . 1967 |===================================================================== DaCapo Benchmark 9.12-MR1 Java Test: Tradebeans msec < Lower Is Better a . 1804 |===================================================================== Renaissance 0.14 Test: Finagle HTTP Requests ms < Lower Is Better a . 1901.6 |=================================================================== Zstd Compression Compression Level: 3 - Compression Speed MB/s > Higher Is Better a . 5777 |===================================================================== Zstd Compression Compression Level: 3 - Decompression Speed MB/s > Higher Is Better a . 4919.7 |=================================================================== Zstd Compression Compression Level: 8 - Compression Speed MB/s > Higher Is Better a . 588.3 |==================================================================== Zstd Compression Compression Level: 8 - Decompression Speed MB/s > Higher Is Better a . 5131.9 |=================================================================== Zstd Compression Compression Level: 19 - Compression Speed MB/s > Higher Is Better a . 50.8 |===================================================================== Zstd Compression Compression Level: 19 - Decompression Speed MB/s > Higher Is Better a . 4375 |===================================================================== Zstd Compression Compression Level: 3, Long Mode - Compression Speed MB/s > Higher Is Better a . 595.3 |==================================================================== Zstd Compression Compression Level: 3, Long Mode - Decompression Speed MB/s > Higher Is Better a . 5261.2 |=================================================================== Zstd Compression Compression Level: 8, Long Mode - Compression Speed MB/s > Higher Is Better a . 755.9 |==================================================================== Zstd Compression Compression Level: 8, Long Mode - Decompression Speed MB/s > Higher Is Better a . 5462.7 |=================================================================== Zstd Compression Compression Level: 19, Long Mode - Compression Speed MB/s > Higher Is Better a . 46.7 |===================================================================== Zstd Compression Compression Level: 19, Long Mode - Decompression Speed MB/s > Higher Is Better a . 4489.8 |=================================================================== JPEG XL libjxl 0.7 Input: PNG - Quality: 80 MP/s > Higher Is Better a . 11.7 |===================================================================== JPEG XL libjxl 0.7 Input: PNG - Quality: 90 MP/s > Higher Is Better a . 11.54 |==================================================================== JPEG XL libjxl 0.7 Input: JPEG - Quality: 80 MP/s > Higher Is Better a . 11.41 |==================================================================== JPEG XL libjxl 0.7 Input: JPEG - Quality: 90 MP/s > Higher Is Better a . 11.23 |==================================================================== JPEG XL libjxl 0.7 Input: PNG - Quality: 100 MP/s > Higher Is Better a . 0.97 |===================================================================== JPEG XL libjxl 0.7 Input: JPEG - Quality: 100 MP/s > Higher Is Better a . 0.95 |===================================================================== WebP Image Encode 1.2.4 Encode Settings: Default MP/s > Higher Is Better a . 22.64 |==================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100 MP/s > Higher Is Better a . 14.65 |==================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless MP/s > Higher Is Better a . 2.11 |===================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Highest Compression MP/s > Higher Is Better a . 4.49 |===================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless, Highest Compression MP/s > Higher Is Better a . 0.83 |===================================================================== srsRAN 22.04.1 Test: OFDM_Test Samples / Second > Higher Is Better a . 177600000 |================================================================ srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM eNb Mb/s > Higher Is Better a . 566.9 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM UE Mb/s > Higher Is Better a . 163.5 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM eNb Mb/s > Higher Is Better a . 572 |====================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM UE Mb/s > Higher Is Better a . 209.4 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM eNb Mb/s > Higher Is Better a . 621.5 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM UE Mb/s > Higher Is Better a . 181.2 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM eNb Mb/s > Higher Is Better a . 628.9 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM UE Mb/s > Higher Is Better a . 221.2 |==================================================================== srsRAN 22.04.1 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM eNb Mb/s > Higher Is Better a . 200.9 |==================================================================== srsRAN 22.04.1 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM UE Mb/s > Higher Is Better a . 96.2 |===================================================================== LibRaw 0.20 Post-Processing Benchmark Mpix/sec > Higher Is Better a . 64.41 |==================================================================== Node.js Express HTTP Load Test Requests Per Second > Higher Is Better a . 17194 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 40.6 |===================================================================== AOM AV1 3.5 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 67.94 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 88.6 |===================================================================== AOM AV1 3.5 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 90.39 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 2.438 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 55.94 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 10 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 109.56 |=================================================================== SVT-AV1 1.2 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 164.97 |=================================================================== SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 3.77 |===================================================================== SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 67.97 |==================================================================== SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 136.89 |=================================================================== SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 99.88 |==================================================================== SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 108 |====================================================================== SVT-VP9 0.3 Tuning: Visual Quality Optimized - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 85.41 |==================================================================== Intel Open Image Denoise 1.4.0 Run: RT.ldr_alb_nrm.3840x2160 Images / Sec > Higher Is Better a . 0.31 |===================================================================== OpenVKL 1.0 Benchmark: vklBenchmark ISPC Items / Sec > Higher Is Better a . 107 |====================================================================== OpenVKL 1.0 Benchmark: vklBenchmark Scalar Items / Sec > Higher Is Better a . 51 |======================================================================= 7-Zip Compression 22.01 Test: Compression Rating MIPS > Higher Is Better a . 126375 |=================================================================== 7-Zip Compression 22.01 Test: Decompression Rating MIPS > Higher Is Better a . 84807 |==================================================================== Stargate Digital Audio Workstation 21.10.9 Sample Rate: 44100 - Buffer Size: 512 Render Ratio > Higher Is Better a . 5.608938 |================================================================= Stargate Digital Audio Workstation 21.10.9 Sample Rate: 44100 - Buffer Size: 1024 Render Ratio > Higher Is Better a . 5.836536 |================================================================= Stargate Digital Audio Workstation 21.10.9 Sample Rate: 480000 - Buffer Size: 512 Render Ratio > Higher Is Better a . 5.509154 |================================================================= Stargate Digital Audio Workstation 21.10.9 Sample Rate: 480000 - Buffer Size: 1024 Render Ratio > Higher Is Better a . 5.724729 |================================================================= Timed Linux Kernel Compilation 5.18 Build: defconfig Seconds < Lower Is Better a . 62.39 |==================================================================== Timed Linux Kernel Compilation 5.18 Build: allmodconfig Seconds < Lower Is Better a . 701.39 |=================================================================== Timed Node.js Compilation 18.8 Time To Compile Seconds < Lower Is Better a . 380.14 |=================================================================== Timed CPython Compilation 3.10.6 Build Configuration: Default Seconds < Lower Is Better a . 14.56 |==================================================================== oneDNN 2.7 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 2.90094 |================================================================== oneDNN 2.7 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 4.38157 |================================================================== oneDNN 2.7 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 6.08216 |================================================================== oneDNN 2.7 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 9.03915 |================================================================== oneDNN 2.7 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 6.23515 |================================================================== oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 3432.72 |================================================================== oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 1751.57 |================================================================== oneDNN 2.7 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 1.4226 |=================================================================== OSPRay Studio 0.11 Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better a . 7216 |===================================================================== OSPRay Studio 0.11 Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better a . 8627 |===================================================================== OSPRay Studio 0.11 Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better a . 119635 |=================================================================== OSPRay Studio 0.11 Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better a . 231262 |=================================================================== OSPRay Studio 0.11 Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better a . 142348 |=================================================================== OSPRay Studio 0.11 Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better a . 280918 |=================================================================== OSPRay Studio 0.11 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better a . 1838 |===================================================================== OSPRay Studio 0.11 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better a . 2189 |===================================================================== OSPRay Studio 0.11 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better a . 29138 |==================================================================== OSPRay Studio 0.11 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better a . 61989 |==================================================================== OSPRay Studio 0.11 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better a . 34882 |==================================================================== OSPRay Studio 0.11 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better a . 73473 |==================================================================== Node.js Octane Benchmark Score > Higher Is Better Timed Wasmer Compilation 2.3 Time To Compile Seconds < Lower Is Better a . 38.65 |==================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Live Seconds < Lower Is Better a . 15.65 |==================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Live FPS > Higher Is Better a . 322.65 |=================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Live Seconds < Lower Is Better a . 32.06 |==================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Live FPS > Higher Is Better a . 157.54 |=================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Upload Seconds < Lower Is Better a . 143.86 |=================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Upload FPS > Higher Is Better a . 17.55 |==================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Upload Seconds < Lower Is Better a . 94.83 |==================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Upload FPS > Higher Is Better a . 26.63 |==================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Platform Seconds < Lower Is Better a . 109.74 |=================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Platform FPS > Higher Is Better a . 69.03 |==================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Platform Seconds < Lower Is Better a . 138.29 |=================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Platform FPS > Higher Is Better a . 54.77 |==================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Video On Demand Seconds < Lower Is Better a . 109.88 |=================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Video On Demand FPS > Higher Is Better a . 68.94 |==================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Video On Demand Seconds < Lower Is Better a . 138.48 |=================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Video On Demand FPS > Higher Is Better a . 54.70 |==================================================================== Cpuminer-Opt 3.20.3 Algorithm: Magi kH/s > Higher Is Better a . 741.44 |=================================================================== Cpuminer-Opt 3.20.3 Algorithm: x25x kH/s > Higher Is Better a . 726.35 |=================================================================== Cpuminer-Opt 3.20.3 Algorithm: scrypt kH/s > Higher Is Better a . 208.81 |=================================================================== Cpuminer-Opt 3.20.3 Algorithm: Deepcoin kH/s > Higher Is Better a . 11680 |==================================================================== Cpuminer-Opt 3.20.3 Algorithm: Ringcoin kH/s > Higher Is Better a . 3427.17 |================================================================== Cpuminer-Opt 3.20.3 Algorithm: Blake-2 S kH/s > Higher Is Better a . 478950 |=================================================================== Cpuminer-Opt 3.20.3 Algorithm: Garlicoin kH/s > Higher Is Better a . 2833.22 |================================================================== Cpuminer-Opt 3.20.3 Algorithm: Skeincoin kH/s > Higher Is Better a . 98140 |==================================================================== Cpuminer-Opt 3.20.3 Algorithm: Myriad-Groestl kH/s > Higher Is Better a . 18030 |==================================================================== Cpuminer-Opt 3.20.3 Algorithm: LBC, LBRY Credits kH/s > Higher Is Better a . 33240 |==================================================================== Cpuminer-Opt 3.20.3 Algorithm: Quad SHA-256, Pyrite kH/s > Higher Is Better a . 116620 |=================================================================== Cpuminer-Opt 3.20.3 Algorithm: Triple SHA-256, Onecoin kH/s > Higher Is Better a . 248630 |=================================================================== OpenSSL 3.0 Algorithm: SHA256 byte/s > Higher Is Better a . 21613809720 |============================================================== OpenSSL 3.0 Algorithm: RSA4096 sign/s > Higher Is Better a . 3600.9 |=================================================================== OpenSSL 3.0 Algorithm: RSA4096 verify/s > Higher Is Better a . 233663.9 |================================================================= Node.js V8 Web Tooling Benchmark runs/s > Higher Is Better a . 23.83 |==================================================================== Liquid-DSP 2021.01.31 Threads: 1 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better a . 98419000 |================================================================= Liquid-DSP 2021.01.31 Threads: 2 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better a . 203240000 |================================================================ Liquid-DSP 2021.01.31 Threads: 4 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better a . 405830000 |================================================================ Liquid-DSP 2021.01.31 Threads: 8 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better a . 730120000 |================================================================ Liquid-DSP 2021.01.31 Threads: 16 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better a . 1078400000 |=============================================================== Liquid-DSP 2021.01.31 Threads: 20 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better a . 1084500000 |=============================================================== ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, First Run / Cold Cache Queries Per Minute, Geo Mean > Higher Is Better a . 235.92 |=================================================================== ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, Second Run Queries Per Minute, Geo Mean > Higher Is Better a . 242.34 |=================================================================== ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, Third Run Queries Per Minute, Geo Mean > Higher Is Better a . 247.51 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time Seconds < Lower Is Better a . 2.23 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Seconds < Lower Is Better a . 84.58 |==================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better a . 5.08 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Group By Test Time Seconds < Lower Is Better a . 2.625402357 |============================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Repartition Test Time Seconds < Lower Is Better a . 1.36 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Inner Join Test Time Seconds < Lower Is Better a . 1.05 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time Seconds < Lower Is Better a . 0.86 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark Time Seconds < Lower Is Better a . 2.19 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Seconds < Lower Is Better a . 84.86 |==================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better a . 5.03 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Group By Test Time Seconds < Lower Is Better a . 2.62 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Repartition Test Time Seconds < Lower Is Better a . 1.35 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Inner Join Test Time Seconds < Lower Is Better a . 1.10 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test Time Seconds < Lower Is Better a . 0.98 |===================================================================== FinanceBench 2016-07-25 Benchmark: Repo OpenMP ms < Lower Is Better a . 28573.72 |================================================================= FinanceBench 2016-07-25 Benchmark: Bonds OpenMP ms < Lower Is Better a . 43967.53 |================================================================= Graph500 3.0 Scale: 26 BFS median_TEPS > Higher Is Better GROMACS 2022.1 Implementation: MPI CPU - Input: water_GMX50_bare Ns Per Day > Higher Is Better HammerDB - MariaDB 10.9.3 Virtual Users: 8 - Warehouses: 100 New Orders Per Minute > Higher Is Better a . 33969 |==================================================================== HammerDB - MariaDB 10.9.3 Virtual Users: 8 - Warehouses: 100 Transactions Per Minute > Higher Is Better a . 78761 |==================================================================== HammerDB - MariaDB 10.9.3 Virtual Users: 16 - Warehouses: 100 New Orders Per Minute > Higher Is Better a . 30573 |==================================================================== HammerDB - MariaDB 10.9.3 Virtual Users: 16 - Warehouses: 100 Transactions Per Minute > Higher Is Better a . 71126 |==================================================================== HammerDB - MariaDB 10.9.3 Virtual Users: 32 - Warehouses: 100 New Orders Per Minute > Higher Is Better a . 37400 |==================================================================== HammerDB - MariaDB 10.9.3 Virtual Users: 32 - Warehouses: 100 Transactions Per Minute > Higher Is Better a . 86791 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: AlexNet images/sec > Higher Is Better a . 117.24 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: AlexNet images/sec > Higher Is Better a . 137.33 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: AlexNet images/sec > Higher Is Better a . 154.1 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: AlexNet images/sec > Higher Is Better a . 171.4 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: AlexNet images/sec > Higher Is Better a . 186.43 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: GoogLeNet images/sec > Higher Is Better a . 71.16 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: ResNet-50 images/sec > Higher Is Better a . 24.96 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: GoogLeNet images/sec > Higher Is Better a . 71.6 |===================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: ResNet-50 images/sec > Higher Is Better a . 24.51 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: GoogLeNet images/sec > Higher Is Better a . 75.09 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: ResNet-50 images/sec > Higher Is Better a . 25.08 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: GoogLeNet images/sec > Higher Is Better a . 80.05 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: ResNet-50 images/sec > Higher Is Better a . 25.76 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: GoogLeNet images/sec > Higher Is Better a . 83.14 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: ResNet-50 images/sec > Higher Is Better SQLite Speedtest 3.30 Timed Time - Size 1,000 Seconds < Lower Is Better a . 37.13 |==================================================================== RawTherapee Total Benchmark Time Seconds < Lower Is Better a . 39.14 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 8.5537 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 808.84 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 36.25 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 191.34 |=================================================================== Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 54.13 |==================================================================== Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 128.62 |=================================================================== Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 107.97 |=================================================================== Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 64.80 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 72.06 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 96.86 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 36.39 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 192.16 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 8.535 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 809.38 |=================================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:1 Ops/sec > Higher Is Better a . 3483364.13 |=============================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better a . 3129695.89 |=============================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 50 - Set To Get Ratio: 5:1 Ops/sec > Higher Is Better a . 2998627.11 |=============================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 50 - Set To Get Ratio: 10:1 Ops/sec > Higher Is Better a . 2700501.53 |=============================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better a . 3013399.99 |=============================================================== Stress-NG 0.14.06 Test: MMAP Bogo Ops/s > Higher Is Better a . 406.82 |=================================================================== Stress-NG 0.14.06 Test: NUMA Bogo Ops/s > Higher Is Better a . 437.8 |==================================================================== Stress-NG 0.14.06 Test: Futex Bogo Ops/s > Higher Is Better a . 3352002.25 |=============================================================== Stress-NG 0.14.06 Test: MEMFD Bogo Ops/s > Higher Is Better a . 1442.04 |================================================================== Stress-NG 0.14.06 Test: Mutex Bogo Ops/s > Higher Is Better a . 10037568.64 |============================================================== Stress-NG 0.14.06 Test: Atomic Bogo Ops/s > Higher Is Better a . 351910.85 |================================================================ Stress-NG 0.14.06 Test: Crypto Bogo Ops/s > Higher Is Better a . 25204.07 |================================================================= Stress-NG 0.14.06 Test: Malloc Bogo Ops/s > Higher Is Better a . 15198249.17 |============================================================== Stress-NG 0.14.06 Test: Forking Bogo Ops/s > Higher Is Better a . 84488.85 |================================================================= Stress-NG 0.14.06 Test: IO_uring Bogo Ops/s > Higher Is Better a . 25928.91 |================================================================= Stress-NG 0.14.06 Test: SENDFILE Bogo Ops/s > Higher Is Better a . 362953.56 |================================================================ Stress-NG 0.14.06 Test: CPU Cache Bogo Ops/s > Higher Is Better a . 122.86 |=================================================================== Stress-NG 0.14.06 Test: CPU Stress Bogo Ops/s > Higher Is Better a . 30218.22 |================================================================= Stress-NG 0.14.06 Test: Semaphores Bogo Ops/s > Higher Is Better a . 2218657.69 |=============================================================== Stress-NG 0.14.06 Test: Matrix Math Bogo Ops/s > Higher Is Better a . 75254.5 |================================================================== Stress-NG 0.14.06 Test: Vector Math Bogo Ops/s > Higher Is Better a . 76384 |==================================================================== Stress-NG 0.14.06 Test: x86_64 RdRand Bogo Ops/s > Higher Is Better a . 82379.14 |================================================================= Stress-NG 0.14.06 Test: Memory Copying Bogo Ops/s > Higher Is Better a . 5303.49 |================================================================== Stress-NG 0.14.06 Test: Socket Activity Bogo Ops/s > Higher Is Better a . 17779 |==================================================================== Stress-NG 0.14.06 Test: Context Switching Bogo Ops/s > Higher Is Better a . 6581472.47 |=============================================================== Stress-NG 0.14.06 Test: Glibc C String Functions Bogo Ops/s > Higher Is Better a . 2879467.28 |=============================================================== Stress-NG 0.14.06 Test: Glibc Qsort Data Sorting Bogo Ops/s > Higher Is Better a . 263.77 |=================================================================== Stress-NG 0.14.06 Test: System V Message Passing Bogo Ops/s > Higher Is Better a . 12811842.98 |============================================================== spaCy 3.4.1 Model: en_core_web_lg tokens/sec > Higher Is Better a . 18619 |==================================================================== spaCy 3.4.1 Model: en_core_web_trf tokens/sec > Higher Is Better a . 1567 |===================================================================== Blender 3.3 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better a . 78.38 |==================================================================== Blender 3.3 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better a . 223.6 |==================================================================== Blender 3.3 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better a . 113.43 |=================================================================== Blender 3.3 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better a . 882.37 |=================================================================== Blender 3.3 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better a . 271.12 |=================================================================== ctx_clock Context Switch Time Clocks < Lower Is Better a . 168 |====================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better a . 3.08 |===================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU ms < Lower Is Better a . 1606.16 |================================================================== OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better a . 2.28 |===================================================================== OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU ms < Lower Is Better a . 2140.42 |================================================================== OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better a . 2.32 |===================================================================== OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU ms < Lower Is Better a . 2126.61 |================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better a . 312.17 |=================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better a . 16 |======================================================================= OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 12.89 |==================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 387.72 |=================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 622.05 |=================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 8.03 |===================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better a . 294.22 |=================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better a . 47.51 |==================================================================== OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better a . 45.15 |==================================================================== OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better a . 110.69 |=================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 1124.42 |================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 12.44 |==================================================================== OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better a . 505.12 |=================================================================== OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better a . 9.89 |===================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better a . 9266.27 |================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better a . 1.51 |===================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better a . 21041.09 |================================================================= OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better a . 0.66 |===================================================================== IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom M samples/s > Higher Is Better a . 2.652 |==================================================================== IndigoBench 4.4 Acceleration: CPU - Scene: Supercar M samples/s > Higher Is Better a . 7.52 |===================================================================== PyBench 2018-02-16 Total For Average Test Times Milliseconds < Lower Is Better a . 529 |====================================================================== PyPerformance 1.0.0 Benchmark: go Milliseconds < Lower Is Better a . 126 |====================================================================== PyPerformance 1.0.0 Benchmark: 2to3 Milliseconds < Lower Is Better a . 174 |====================================================================== PyPerformance 1.0.0 Benchmark: chaos Milliseconds < Lower Is Better a . 49.5 |===================================================================== PyPerformance 1.0.0 Benchmark: float Milliseconds < Lower Is Better a . 52.2 |===================================================================== PyPerformance 1.0.0 Benchmark: nbody Milliseconds < Lower Is Better a . 68.3 |===================================================================== PyPerformance 1.0.0 Benchmark: pathlib Milliseconds < Lower Is Better a . 9.73 |===================================================================== PyPerformance 1.0.0 Benchmark: raytrace Milliseconds < Lower Is Better a . 232 |====================================================================== PyPerformance 1.0.0 Benchmark: json_loads Milliseconds < Lower Is Better a . 12.9 |===================================================================== PyPerformance 1.0.0 Benchmark: crypto_pyaes Milliseconds < Lower Is Better a . 56.7 |===================================================================== PyPerformance 1.0.0 Benchmark: regex_compile Milliseconds < Lower Is Better a . 91.4 |===================================================================== PyPerformance 1.0.0 Benchmark: python_startup Milliseconds < Lower Is Better a . 6.73 |===================================================================== PyPerformance 1.0.0 Benchmark: django_template Milliseconds < Lower Is Better a . 24.6 |===================================================================== PyPerformance 1.0.0 Benchmark: pickle_pure_python Milliseconds < Lower Is Better a . 219 |====================================================================== Natron 2.4.3 Input: Spaceship FPS > Higher Is Better a . 4.8 |====================================================================== ONNX Runtime 1.11 Model: GPT-2 - Device: CPU - Executor: Standard Inferences Per Minute > Higher Is Better a . 10614 |==================================================================== ONNX Runtime 1.11 Model: yolov4 - Device: CPU - Executor: Standard Inferences Per Minute > Higher Is Better a . 609 |====================================================================== ONNX Runtime 1.11 Model: bertsquad-12 - Device: CPU - Executor: Standard Inferences Per Minute > Higher Is Better a . 975 |====================================================================== ONNX Runtime 1.11 Model: fcn-resnet101-11 - Device: CPU - Executor: Standard Inferences Per Minute > Higher Is Better a . 90 |======================================================================= ONNX Runtime 1.11 Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard Inferences Per Minute > Higher Is Better a . 1789 |===================================================================== ONNX Runtime 1.11 Model: super-resolution-10 - Device: CPU - Executor: Standard Inferences Per Minute > Higher Is Better a . 4640 |===================================================================== Appleseed 2.0 Beta Scene: Emily Seconds < Lower Is Better a . 244.17 |=================================================================== Appleseed 2.0 Beta Scene: Disney Material Seconds < Lower Is Better a . 125.58 |=================================================================== Appleseed 2.0 Beta Scene: Material Tester Seconds < Lower Is Better a . 132.62 |=================================================================== PHPBench 0.8.1 PHP Benchmark Suite Score > Higher Is Better a . 1450401 |================================================================== PyHPC Benchmarks 3.0 Device: CPU - Backend: JAX - Project Size: 1048576 - Benchmark: Equation of State Seconds < Lower Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: JAX - Project Size: 1048576 - Benchmark: Isoneutral Mixing Seconds < Lower Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: JAX - Project Size: 4194304 - Benchmark: Equation of State Seconds < Lower Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: JAX - Project Size: 4194304 - Benchmark: Isoneutral Mixing Seconds < Lower Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: Numba - Project Size: 1048576 - Benchmark: Equation of State Seconds < Lower Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: Numba - Project Size: 1048576 - Benchmark: Isoneutral Mixing Seconds < Lower Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: Numba - Project Size: 4194304 - Benchmark: Equation of State Seconds < Lower Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: Numba - Project Size: 4194304 - Benchmark: Isoneutral Mixing Seconds < Lower Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Equation of State Seconds < Lower Is Better a . 0.189 |==================================================================== PyHPC Benchmarks 3.0 Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Isoneutral Mixing Seconds < Lower Is Better a . 0.413 |==================================================================== PyHPC Benchmarks 3.0 Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of State Seconds < Lower Is Better a . 1.102 |==================================================================== PyHPC Benchmarks 3.0 Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral Mixing Seconds < Lower Is Better a . 1.816 |==================================================================== PyHPC Benchmarks 3.0 Device: CPU - Backend: Aesara - Project Size: 1048576 - Benchmark: Equation of State Seconds < Lower Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: Aesara - Project Size: 1048576 - Benchmark: Isoneutral Mixing Seconds < Lower Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Equation of State Seconds < Lower Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Isoneutral Mixing Seconds < Lower Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: PyTorch - Project Size: 1048576 - Benchmark: Equation of State Seconds < Lower Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: PyTorch - Project Size: 1048576 - Benchmark: Isoneutral Mixing Seconds < Lower Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Equation of State Seconds < Lower Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Isoneutral Mixing Seconds < Lower Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: TensorFlow - Project Size: 1048576 - Benchmark: Equation of State Seconds < Lower Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: TensorFlow - Project Size: 1048576 - Benchmark: Isoneutral Mixing Seconds < Lower Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: TensorFlow - Project Size: 4194304 - Benchmark: Equation of State Seconds < Lower Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: TensorFlow - Project Size: 4194304 - Benchmark: Isoneutral Mixing Seconds < Lower Is Better Chaos Group V-RAY 5.02 Mode: CPU vsamples > Higher Is Better a . 18411 |====================================================================