cascade lake summer 2022 2 x Intel Xeon Platinum 8280 testing with a GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS) and llvmpipe on Ubuntu 21.04 via the Phoronix Test Suite. A: Processor: 2 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads), Motherboard: GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 384GB, Disk: 280GB INTEL SSDPED1D280GA, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE OS: Ubuntu 21.04, Kernel: 5.11.0-40-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, OpenGL: 4.5 Mesa 21.0.1 (LLVM 11.0.1 256 bits), Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 1920x1080 B: Processor: 2 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads), Motherboard: GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 384GB, Disk: 280GB INTEL SSDPED1D280GA, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE OS: Ubuntu 21.04, Kernel: 5.11.0-40-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, OpenGL: 4.5 Mesa 21.0.1 (LLVM 11.0.1 256 bits), Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 1920x1080 C: Processor: 2 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads), Motherboard: GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 384GB, Disk: 280GB INTEL SSDPED1D280GA, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE OS: Ubuntu 21.04, Kernel: 5.11.0-40-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, OpenGL: 4.5 Mesa 21.0.1 (LLVM 11.0.1 256 bits), Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 1920x1080 Glibc Benchmarks Benchmark: cos ns < Lower Is Better A . 68.24 |==================================================================== B . 68.42 |==================================================================== C . 67.74 |=================================================================== Glibc Benchmarks Benchmark: exp ns < Lower Is Better A . 15.57 |==================================================================== B . 15.63 |==================================================================== C . 15.52 |==================================================================== Glibc Benchmarks Benchmark: ffs ns < Lower Is Better A . 4.79113 |================================================================== B . 4.79183 |================================================================== C . 4.82530 |================================================================== Glibc Benchmarks Benchmark: sin ns < Lower Is Better A . 58.73 |=================================================================== B . 59.30 |==================================================================== C . 59.10 |==================================================================== Glibc Benchmarks Benchmark: log2 ns < Lower Is Better A . 19.85 |=================================================================== B . 20.16 |==================================================================== C . 20.11 |==================================================================== Glibc Benchmarks Benchmark: modf ns < Lower Is Better A . 6.11030 |================================================================= B . 6.17880 |================================================================== C . 6.14095 |================================================================== Glibc Benchmarks Benchmark: sinh ns < Lower Is Better A . 25.49 |=================================================================== B . 25.69 |==================================================================== C . 25.69 |==================================================================== Glibc Benchmarks Benchmark: sqrt ns < Lower Is Better A . 6.15346 |================================================================== B . 6.19897 |================================================================== C . 6.16877 |================================================================== Glibc Benchmarks Benchmark: tanh ns < Lower Is Better A . 35.85 |==================================================================== B . 35.94 |==================================================================== C . 35.87 |==================================================================== Glibc Benchmarks Benchmark: asinh ns < Lower Is Better A . 28.29 |==================================================================== B . 28.28 |==================================================================== C . 28.26 |==================================================================== Glibc Benchmarks Benchmark: atanh ns < Lower Is Better A . 32.30 |==================================================================== B . 32.27 |==================================================================== C . 32.35 |==================================================================== Glibc Benchmarks Benchmark: ffsll ns < Lower Is Better A . 4.57380 |================================================================== B . 4.55586 |================================================================== C . 4.57007 |================================================================== Glibc Benchmarks Benchmark: sincos ns < Lower Is Better A . 41.37 |==================================================================== B . 41.47 |==================================================================== C . 41.42 |==================================================================== Glibc Benchmarks Benchmark: pthread_once ns < Lower Is Better A . 4.73900 |================================================================= B . 4.78202 |================================================================== C . 4.77963 |================================================================== perf-bench Benchmark: Epoll Wait ops/sec > Higher Is Better A . 4782 |===================================================================== B . 4015 |========================================================== C . 4683 |==================================================================== perf-bench Benchmark: Futex Hash ops/sec > Higher Is Better A . 2870019 |================================================================== B . 2860347 |================================================================== C . 2860657 |================================================================== perf-bench Benchmark: Memcpy 1MB GB/sec > Higher Is Better A . 16.83 |================================================================== B . 17.39 |==================================================================== C . 16.59 |================================================================= perf-bench Benchmark: Memset 1MB GB/sec > Higher Is Better A . 55.72 |=================================================================== B . 56.22 |==================================================================== C . 54.11 |================================================================= perf-bench Benchmark: Sched Pipe ops/sec > Higher Is Better A . 149542 |================================================================ B . 156089 |=================================================================== C . 150205 |================================================================ perf-bench Benchmark: Futex Lock-Pi ops/sec > Higher Is Better A . 62 |===================================================================== B . 64 |======================================================================= C . 63 |====================================================================== perf-bench Benchmark: Syscall Basic ops/sec > Higher Is Better A . 16452745 |================================================================= B . 16190299 |================================================================ C . 16325616 |================================================================ Etcpak 1.0 Benchmark: Multi-Threaded - Configuration: DXT1 Mpx/s > Higher Is Better A . 2466.42 |================================================================== B . 2462.53 |================================================================== C . 2408.79 |================================================================ Etcpak 1.0 Benchmark: Multi-Threaded - Configuration: ETC2 Mpx/s > Higher Is Better A . 2455.86 |================================================================== B . 2422.18 |================================================================= C . 2459.64 |================================================================== Etcpak 1.0 Benchmark: Single-Threaded - Configuration: DXT1 Mpx/s > Higher Is Better A . 191.92 |=================================================================== B . 190.73 |=================================================================== C . 189.23 |================================================================== Etcpak 1.0 Benchmark: Single-Threaded - Configuration: ETC2 Mpx/s > Higher Is Better A . 189.23 |=================================================================== B . 189.14 |=================================================================== C . 188.46 |=================================================================== simdjson 2.0 Throughput Test: Kostya GB/s > Higher Is Better A . 2.50 |===================================================================== B . 2.49 |===================================================================== C . 2.44 |=================================================================== simdjson 2.0 Throughput Test: TopTweet GB/s > Higher Is Better A . 4.22 |===================================================================== B . 4.24 |===================================================================== C . 4.22 |===================================================================== simdjson 2.0 Throughput Test: LargeRandom GB/s > Higher Is Better A . 0.86 |===================================================================== B . 0.86 |===================================================================== C . 0.85 |==================================================================== simdjson 2.0 Throughput Test: PartialTweets GB/s > Higher Is Better A . 3.69 |==================================================================== B . 3.72 |===================================================================== C . 3.70 |===================================================================== simdjson 2.0 Throughput Test: DistinctUserID GB/s > Higher Is Better A . 4.28 |===================================================================== B . 4.30 |===================================================================== C . 4.27 |===================================================================== Renaissance 0.14 Test: Scala Dotty ms < Lower Is Better A . 1108.2 |================================================================== B . 992.8 |=========================================================== C . 1127.7 |=================================================================== Renaissance 0.14 Test: Random Forest ms < Lower Is Better A . 1166.1 |================================================================ B . 1217.5 |=================================================================== C . 1223.1 |=================================================================== Renaissance 0.14 Test: ALS Movie Lens ms < Lower Is Better A . 50872.9 |================================================================= B . 52001.2 |================================================================== C . 50492.3 |================================================================ Renaissance 0.14 Test: Apache Spark ALS ms < Lower Is Better A . 84016.6 |================================================================ B . 86541.0 |================================================================== C . 82422.8 |=============================================================== Renaissance 0.14 Test: Apache Spark Bayes ms < Lower Is Better A . 859.3 |==================================================================== B . 846.9 |=================================================================== C . 860.8 |==================================================================== Renaissance 0.14 Test: Savina Reactors.IO ms < Lower Is Better A . 13994.2 |================================================================== B . 13313.1 |=============================================================== C . 12964.8 |============================================================= Renaissance 0.14 Test: Apache Spark PageRank ms < Lower Is Better A . 4107.5 |================================================================== B . 4075.1 |================================================================== C . 4142.0 |=================================================================== Renaissance 0.14 Test: Finagle HTTP Requests ms < Lower Is Better A . 6808.3 |================================================================ B . 7137.8 |=================================================================== C . 7106.4 |=================================================================== Renaissance 0.14 Test: In-Memory Database Shootout ms < Lower Is Better A . 11794.7 |============================================================== B . 12498.3 |================================================================== C . 11920.7 |=============================================================== Renaissance 0.14 Test: Akka Unbalanced Cobwebbed Tree ms < Lower Is Better A . 21915.1 |================================================================== B . 21598.3 |================================================================= C . 21331.4 |================================================================ Renaissance 0.14 Test: Genetic Algorithm Using Jenetics + Futures ms < Lower Is Better A . 8292.8 |=================================================================== B . 8040.8 |================================================================= C . 8045.6 |================================================================= Nettle 3.8 Test: aes256 Mbyte/s > Higher Is Better A . 6285.45 |================================================================== B . 6323.88 |================================================================== C . 6167.35 |================================================================ Nettle 3.8 Test: chacha Mbyte/s > Higher Is Better A . 1223.77 |================================================================= B . 1234.72 |================================================================== C . 1205.82 |================================================================ Nettle 3.8 Test: sha512 Mbyte/s > Higher Is Better A . 498.39 |=================================================================== B . 500.56 |=================================================================== C . 489.37 |================================================================== Nettle 3.8 Test: poly1305-aes Mbyte/s > Higher Is Better A . 3708.97 |================================================================= B . 3740.29 |================================================================== C . 3695.61 |================================================================= AOM AV1 3.3 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 0.16 |===================================================================== B . 0.16 |===================================================================== C . 0.16 |===================================================================== AOM AV1 3.3 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 3.53 |==================================================================== B . 3.55 |===================================================================== C . 3.57 |===================================================================== AOM AV1 3.3 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 5.73 |================================================================ B . 5.79 |================================================================ C . 6.22 |===================================================================== AOM AV1 3.3 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 5.57 |==================================================================== B . 5.66 |===================================================================== C . 5.31 |================================================================= AOM AV1 3.3 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 13.96 |==================================================================== B . 13.86 |==================================================================== C . 13.76 |=================================================================== AOM AV1 3.3 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 21.45 |================================================================== B . 21.66 |================================================================== C . 22.20 |==================================================================== AOM AV1 3.3 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 24.91 |==================================================================== B . 23.78 |================================================================= C . 24.70 |=================================================================== AOM AV1 3.3 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 0.36 |===================================================================== B . 0.36 |===================================================================== C . 0.36 |===================================================================== AOM AV1 3.3 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 6.04 |===================================================================== B . 5.84 |=================================================================== C . 5.99 |==================================================================== AOM AV1 3.3 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 5.67 |===================================================================== B . 5.69 |===================================================================== C . 5.56 |=================================================================== AOM AV1 3.3 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 8.90 |=================================================================== B . 9.13 |===================================================================== C . 8.75 |================================================================== AOM AV1 3.3 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 36.47 |================================================================ B . 34.33 |============================================================ C . 38.97 |==================================================================== AOM AV1 3.3 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 54.95 |==================================================================== B . 49.99 |============================================================== C . 50.96 |=============================================================== AOM AV1 3.3 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 55.88 |================================================================== B . 57.45 |==================================================================== C . 55.74 |================================================================== SVT-AV1 1.0 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 2.718 |================================================================== B . 2.744 |=================================================================== C . 2.787 |==================================================================== SVT-AV1 1.0 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 44.11 |==================================================================== B . 44.16 |==================================================================== C . 43.23 |=================================================================== SVT-AV1 1.0 Encoder Mode: Preset 10 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 89.54 |================================================================== B . 91.83 |==================================================================== C . 89.83 |=================================================================== SVT-AV1 1.0 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 107.29 |=================================================================== B . 104.29 |================================================================= C . 104.40 |================================================================= SVT-AV1 1.0 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 5.472 |==================================================================== B . 5.431 |=================================================================== C . 5.401 |=================================================================== SVT-AV1 1.0 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 94.09 |================================================================== B . 94.55 |================================================================== C . 97.42 |==================================================================== SVT-AV1 1.0 Encoder Mode: Preset 10 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 143.11 |================================================================= B . 146.75 |=================================================================== C . 144.76 |================================================================== SVT-AV1 1.0 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 206.24 |=================================================================== B . 202.25 |================================================================= C . 207.09 |=================================================================== SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 7.92 |===================================================================== B . 7.96 |===================================================================== C . 7.94 |===================================================================== SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 99.19 |==================================================================== B . 96.40 |================================================================== C . 98.73 |==================================================================== SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 133.39 |=================================================================== B . 131.58 |================================================================== C . 132.13 |================================================================== SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 29.01 |==================================================================== B . 28.88 |==================================================================== C . 28.87 |==================================================================== SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 222.88 |================================================================= B . 224.55 |================================================================== C . 228.66 |=================================================================== SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 339.56 |================================================================== B . 343.05 |=================================================================== C . 340.52 |=================================================================== SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 111.31 |=================================================================== B . 104.80 |=============================================================== C . 109.89 |================================================================== SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 275.30 |================================================================= B . 281.70 |=================================================================== C . 262.04 |============================================================== SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 108.16 |=============================================================== B . 114.24 |=================================================================== C . 114.38 |=================================================================== SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 257.91 |================================================================ B . 268.40 |================================================================== C . 270.70 |=================================================================== SVT-VP9 0.3 Tuning: Visual Quality Optimized - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 101.74 |=================================================================== B . 97.39 |================================================================ C . 97.76 |================================================================ SVT-VP9 0.3 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 208.91 |=============================================================== B . 207.79 |=============================================================== C . 220.70 |=================================================================== x264 2022-02-22 Video Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 46.94 |=================================================================== B . 47.02 |==================================================================== C . 47.34 |==================================================================== x264 2022-02-22 Video Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 116.81 |=============================================================== B . 123.32 |================================================================== C . 125.16 |=================================================================== OSPray 2.9 Benchmark: particle_volume/ao/real_time Items Per Second > Higher Is Better A . 108.23 |================================================================== B . 109.39 |=================================================================== C . 108.99 |=================================================================== OSPray 2.9 Benchmark: particle_volume/scivis/real_time Items Per Second > Higher Is Better A . 106.42 |================================================================== B . 107.32 |=================================================================== C . 106.21 |================================================================== OSPray 2.9 Benchmark: particle_volume/pathtracer/real_time Items Per Second > Higher Is Better A . 194.85 |=================================================================== B . 194.28 |================================================================== C . 195.98 |=================================================================== OSPray 2.9 Benchmark: gravity_spheres_volume/dim_512/ao/real_time Items Per Second > Higher Is Better A . 13.58 |=================================================================== B . 13.72 |==================================================================== C . 13.74 |==================================================================== OSPray 2.9 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time Items Per Second > Higher Is Better A . 13.43 |=================================================================== B . 13.47 |==================================================================== C . 13.54 |==================================================================== OSPray 2.9 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time Items Per Second > Higher Is Better A . 16.23 |==================================================================== B . 16.16 |==================================================================== C . 16.13 |==================================================================== libavif avifenc 0.10 Encoder Speed: 0 Seconds < Lower Is Better A . 97.01 |==================================================================== B . 97.17 |==================================================================== C . 96.39 |=================================================================== libavif avifenc 0.10 Encoder Speed: 2 Seconds < Lower Is Better A . 55.61 |==================================================================== B . 54.77 |=================================================================== C . 52.96 |================================================================= libavif avifenc 0.10 Encoder Speed: 6 Seconds < Lower Is Better A . 6.249 |==================================================================== B . 5.949 |================================================================= C . 6.074 |================================================================== libavif avifenc 0.10 Encoder Speed: 6, Lossless Seconds < Lower Is Better A . 10.32 |==================================================================== B . 10.13 |=================================================================== C . 10.35 |==================================================================== libavif avifenc 0.10 Encoder Speed: 10, Lossless Seconds < Lower Is Better A . 6.973 |==================================================================== B . 6.936 |==================================================================== C . 6.953 |==================================================================== Timed MPlayer Compilation 1.5 Time To Compile Seconds < Lower Is Better A . 12.70 |==================================================================== B . 12.61 |==================================================================== C . 12.61 |==================================================================== oneDNN 2.6 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 1.22929 |================================================================== B . 1.22057 |================================================================= C . 1.23800 |================================================================== oneDNN 2.6 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 2.99374 |================================================================== B . 3.01428 |================================================================== C . 3.00023 |================================================================== oneDNN 2.6 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 1.40425 |================================================================== B . 1.38839 |================================================================= C . 1.36947 |================================================================ oneDNN 2.6 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 1.10589 |================================================================= B . 1.12046 |================================================================== C . 1.09022 |================================================================ oneDNN 2.6 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better A . 3.72981 |================================================================== B . 3.72794 |================================================================== C . 3.70853 |================================================================== oneDNN 2.6 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better A . 2.08511 |================================================================= B . 2.10070 |================================================================== C . 2.10487 |================================================================== oneDNN 2.6 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 3.92995 |================================================================== B . 3.92330 |================================================================== C . 3.95272 |================================================================== oneDNN 2.6 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 19.22 |==================================================================== B . 19.22 |==================================================================== C . 19.17 |==================================================================== oneDNN 2.6 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 1.23463 |================================================================== B . 1.23372 |================================================================== C . 1.23195 |================================================================== oneDNN 2.6 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 3.69564 |================================================================== B . 3.67899 |================================================================== C . 3.67879 |================================================================== oneDNN 2.6 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 0.478080 |================================================================= B . 0.469105 |================================================================ C . 0.474279 |================================================================ oneDNN 2.6 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 0.343941 |================================================================ B . 0.349142 |================================================================= C . 0.336000 |=============================================================== oneDNN 2.6 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 869.42 |============================================================== B . 864.65 |============================================================= C . 943.92 |=================================================================== oneDNN 2.6 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 455.06 |================================================================== B . 451.59 |================================================================== C . 460.09 |=================================================================== oneDNN 2.6 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 880.42 |=================================================================== B . 871.34 |================================================================== C . 868.80 |================================================================== oneDNN 2.6 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better A . 3.14788 |================================================================== B . 3.14990 |================================================================== C . 3.15372 |================================================================== oneDNN 2.6 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better A . 5.03515 |================================================================== B . 5.06211 |================================================================== C . 5.04983 |================================================================== oneDNN 2.6 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better A . 4.45509 |================================================================== B . 4.44290 |================================================================== C . 4.44536 |================================================================== oneDNN 2.6 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 458.42 |================================================================= B . 455.13 |================================================================= C . 470.31 |=================================================================== oneDNN 2.6 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 0.307546 |================================================================= B . 0.306507 |================================================================= C . 0.305485 |================================================================= oneDNN 2.6 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better A . 871.31 |================================================================== B . 869.79 |================================================================== C . 882.76 |=================================================================== oneDNN 2.6 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better A . 453.11 |=================================================================== B . 451.60 |=================================================================== C . 450.30 |=================================================================== oneDNN 2.6 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 0.232440 |================================================================= B . 0.230458 |================================================================ C . 0.233227 |================================================================= oneDNN 2.6 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better A . 2.94845 |================================================================== B . 2.90208 |================================================================= C . 2.87069 |================================================================ OSPray Studio 0.10 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better A . 523 |====================================================================== B . 524 |====================================================================== C . 524 |====================================================================== OSPray Studio 0.10 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better A . 538 |====================================================================== B . 538 |====================================================================== C . 538 |====================================================================== OSPray Studio 0.10 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better A . 637 |====================================================================== B . 639 |====================================================================== C . 638 |====================================================================== OSPray Studio 0.10 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better A . 8305 |===================================================================== B . 8325 |===================================================================== C . 8330 |===================================================================== OSPray Studio 0.10 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better A . 16607 |==================================================================== B . 16622 |==================================================================== C . 16650 |==================================================================== OSPray Studio 0.10 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better A . 8564 |===================================================================== B . 8533 |===================================================================== C . 8587 |===================================================================== OSPray Studio 0.10 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better A . 17084 |==================================================================== B . 17085 |==================================================================== C . 17092 |==================================================================== OSPray Studio 0.10 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better A . 10175 |==================================================================== B . 10186 |==================================================================== C . 10148 |==================================================================== OSPray Studio 0.10 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better A . 20298 |==================================================================== B . 20348 |==================================================================== C . 20322 |==================================================================== GROMACS 2022.1 Implementation: MPI CPU - Input: water_GMX50_bare Ns Per Day > Higher Is Better A . 5.836 |==================================================================== B . 5.811 |==================================================================== C . 5.843 |==================================================================== TensorFlow Lite 2022-05-18 Model: SqueezeNet Microseconds < Lower Is Better A . 5446.51 |================================================================== B . 5459.11 |================================================================== C . 5334.38 |================================================================ TensorFlow Lite 2022-05-18 Model: Inception V4 Microseconds < Lower Is Better A . 37643.7 |================================================================== B . 36933.9 |================================================================= C . 37165.7 |================================================================= TensorFlow Lite 2022-05-18 Model: NASNet Mobile Microseconds < Lower Is Better A . 65535.0 |================================================================== B . 65890.0 |================================================================== C . 64248.8 |================================================================ TensorFlow Lite 2022-05-18 Model: Mobilenet Float Microseconds < Lower Is Better A . 3411.68 |================================================================== B . 3381.23 |================================================================= C . 3383.49 |================================================================= TensorFlow Lite 2022-05-18 Model: Mobilenet Quant Microseconds < Lower Is Better A . 4833.58 |================================================================== B . 4632.48 |=============================================================== C . 4770.39 |================================================================= TensorFlow Lite 2022-05-18 Model: Inception ResNet V2 Microseconds < Lower Is Better A . 47840.8 |=============================================================== B . 50114.1 |================================================================== C . 48762.5 |================================================================ Stress-NG 0.14 Test: MMAP Bogo Ops/s > Higher Is Better A . 1686.14 |================================================================== B . 1665.99 |================================================================= C . 1671.06 |================================================================= Stress-NG 0.14 Test: NUMA Bogo Ops/s > Higher Is Better A . 583.66 |================================================================ B . 607.35 |=================================================================== C . 592.78 |================================================================= Stress-NG 0.14 Test: Futex Bogo Ops/s > Higher Is Better A . 908797.50 |============================================================= B . 948927.76 |=============================================================== C . 958464.66 |================================================================ Stress-NG 0.14 Test: MEMFD Bogo Ops/s > Higher Is Better A . 2420.44 |================================================================== B . 2414.27 |================================================================== C . 2419.96 |================================================================== Stress-NG 0.14 Test: Atomic Bogo Ops/s > Higher Is Better A . 148748.40 |================================================================ B . 137381.50 |=========================================================== C . 140720.96 |============================================================= Stress-NG 0.14 Test: Crypto Bogo Ops/s > Higher Is Better A . 59728.27 |================================================================= B . 59757.30 |================================================================= C . 59750.12 |================================================================= Stress-NG 0.14 Test: Malloc Bogo Ops/s > Higher Is Better A . 217472149.53 |============================================================= B . 216782885.23 |============================================================= C . 217955200.37 |============================================================= Stress-NG 0.14 Test: Forking Bogo Ops/s > Higher Is Better A . 47213.65 |================================================================= B . 47180.40 |================================================================= C . 47498.90 |================================================================= Stress-NG 0.14 Test: IO_uring Bogo Ops/s > Higher Is Better A . 4871109.61 |=============================================================== B . 4852459.71 |=============================================================== C . 4859985.91 |=============================================================== Stress-NG 0.14 Test: SENDFILE Bogo Ops/s > Higher Is Better A . 859564.82 |================================================================ B . 859190.38 |================================================================ C . 860581.21 |================================================================ Stress-NG 0.14 Test: CPU Cache Bogo Ops/s > Higher Is Better A . 26.30 |==================================================================== B . 15.34 |======================================== C . 21.03 |====================================================== Stress-NG 0.14 Test: CPU Stress Bogo Ops/s > Higher Is Better A . 105656.32 |================================================================ B . 105053.55 |================================================================ C . 104938.60 |================================================================ Stress-NG 0.14 Test: Semaphores Bogo Ops/s > Higher Is Better A . 6707967.45 |=============================================================== B . 6708782.81 |=============================================================== C . 6736736.94 |=============================================================== Stress-NG 0.14 Test: Matrix Math Bogo Ops/s > Higher Is Better A . 175964.38 |================================================================ B . 175988.63 |================================================================ C . 176083.49 |================================================================ Stress-NG 0.14 Test: Vector Math Bogo Ops/s > Higher Is Better A . 172699.69 |================================================================ B . 173550.28 |================================================================ C . 172356.49 |================================================================ Stress-NG 0.14 Test: x86_64 RdRand Bogo Ops/s > Higher Is Better A . 503080.37 |================================================================ B . 503057.22 |================================================================ C . 503062.12 |================================================================ Stress-NG 0.14 Test: Memory Copying Bogo Ops/s > Higher Is Better A . 7011.74 |================================================================== B . 7033.99 |================================================================== C . 7050.81 |================================================================== Stress-NG 0.14 Test: Socket Activity Bogo Ops/s > Higher Is Better A . 27081.43 |================================================================ B . 27478.48 |================================================================= C . 26817.55 |=============================================================== Stress-NG 0.14 Test: Context Switching Bogo Ops/s > Higher Is Better A . 4008133.57 |============================================================== B . 4091594.76 |=============================================================== C . 3998434.06 |============================================================== Stress-NG 0.14 Test: Glibc C String Functions Bogo Ops/s > Higher Is Better A . 5765765.00 |============================================================== B . 5777754.86 |============================================================== C . 5882673.17 |=============================================================== Stress-NG 0.14 Test: Glibc Qsort Data Sorting Bogo Ops/s > Higher Is Better A . 690.47 |=================================================================== B . 690.73 |=================================================================== C . 690.13 |=================================================================== Stress-NG 0.14 Test: System V Message Passing Bogo Ops/s > Higher Is Better A . 3944584.98 |=============================================================== B . 3955795.95 |=============================================================== C . 3968510.86 |=============================================================== Facebook RocksDB 7.0.1 Test: Random Read Op/s > Higher Is Better A . 222126242 |================================================================ B . 222876704 |================================================================ C . 219474809 |=============================================================== Facebook RocksDB 7.0.1 Test: Update Random Op/s > Higher Is Better A . 175746 |=================================================================== B . 175854 |=================================================================== C . 176062 |=================================================================== Facebook RocksDB 7.0.1 Test: Read While Writing Op/s > Higher Is Better A . 6680014 |================================================================== B . 6519441 |================================================================ C . 6563287 |================================================================= Facebook RocksDB 7.0.1 Test: Read Random Write Random Op/s > Higher Is Better A . 2904862 |================================================================== B . 2865013 |================================================================= C . 2882009 |================================================================= Java JMH Throughput Ops/s > Higher Is Better A . 90801514532.11 |========================================================== B . 91846052434.50 |=========================================================== C . 90741800042.54 |========================================================== nginx 1.21.1 Concurrent Requests: 1 Requests Per Second > Higher Is Better A . 29191.38 |================================================================= B . 28929.04 |================================================================ C . 29196.39 |================================================================= nginx 1.21.1 Concurrent Requests: 20 Requests Per Second > Higher Is Better A . 141460.52 |=============================================================== B . 142633.59 |================================================================ C . 139702.50 |=============================================================== nginx 1.21.1 Concurrent Requests: 100 Requests Per Second > Higher Is Better A . 152697.49 |================================================================ B . 150993.71 |=============================================================== C . 152791.84 |================================================================ nginx 1.21.1 Concurrent Requests: 200 Requests Per Second > Higher Is Better A . 159676.56 |================================================================ B . 159256.42 |================================================================ C . 157843.09 |=============================================================== nginx 1.21.1 Concurrent Requests: 500 Requests Per Second > Higher Is Better A . 165114.50 |================================================================ B . 160705.05 |============================================================== C . 162250.89 |=============================================================== nginx 1.21.1 Concurrent Requests: 1000 Requests Per Second > Higher Is Better A . 164799.04 |================================================================ B . 164214.50 |================================================================ C . 163876.76 |================================================================ ONNX Runtime 1.11 Model: GPT-2 - Device: CPU - Executor: Standard Inferences Per Minute > Higher Is Better A . 10161 |============================================================== B . 10159 |============================================================== C . 11218 |==================================================================== ONNX Runtime 1.11 Model: yolov4 - Device: CPU - Executor: Standard Inferences Per Minute > Higher Is Better A . 529 |====================================================================== B . 527 |====================================================================== C . 522 |===================================================================== ONNX Runtime 1.11 Model: bertsquad-12 - Device: CPU - Executor: Standard Inferences Per Minute > Higher Is Better A . 691 |=========================================================== B . 824 |====================================================================== C . 823 |====================================================================== ONNX Runtime 1.11 Model: fcn-resnet101-11 - Device: CPU - Executor: Standard Inferences Per Minute > Higher Is Better A . 376 |====================================================================== B . 256 |================================================ C . 352 |================================================================== ONNX Runtime 1.11 Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard Inferences Per Minute > Higher Is Better A . 1700 |===================================================================== B . 1697 |===================================================================== C . 1689 |===================================================================== ONNX Runtime 1.11 Model: super-resolution-10 - Device: CPU - Executor: Standard Inferences Per Minute > Higher Is Better A . 6359 |========================================== B . 10331 |==================================================================== C . 10378 |==================================================================== Apache HTTP Server 2.4.48 Concurrent Requests: 1 Requests Per Second > Higher Is Better A . 2809.72 |================================================================ B . 2879.71 |================================================================== C . 2800.97 |================================================================ Apache HTTP Server 2.4.48 Concurrent Requests: 20 Requests Per Second > Higher Is Better A . 24165.82 |================================================================= B . 23084.76 |============================================================== C . 18658.18 |================================================== Apache HTTP Server 2.4.48 Concurrent Requests: 100 Requests Per Second > Higher Is Better A . 97283.80 |================================================================ B . 95724.11 |=============================================================== C . 99205.02 |================================================================= Apache HTTP Server 2.4.48 Concurrent Requests: 200 Requests Per Second > Higher Is Better A . 126245.90 |=========================================================== B . 137891.33 |================================================================ C . 117695.80 |======================================================= Apache HTTP Server 2.4.48 Concurrent Requests: 500 Requests Per Second > Higher Is Better A . 122830.61 |================================================================ C . 119354.61 |============================================================== Apache HTTP Server 2.4.48 Concurrent Requests: 1000 Requests Per Second > Higher Is Better A . 105438.13 |======================================================== C . 121473.73 |================================================================