11900K Summer 2022 Intel Core i9-11900K testing with a ASUS ROG MAXIMUS XIII HERO (1007 BIOS) and ASUS Intel RKL GT1 3GB on Ubuntu 21.10 via the Phoronix Test Suite. A: Processor: Intel Core i9-11900K @ 5.10GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG MAXIMUS XIII HERO (1007 BIOS), Chipset: Intel Tiger Lake-H, Memory: 32GB, Disk: 2000GB Corsair Force MP600, Graphics: ASUS Intel RKL GT1 3GB (1300MHz), Audio: Intel Tiger Lake-H HD Audio, Monitor: MX279, Network: 2 x Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411 OS: Ubuntu 21.10, Kernel: 5.15.0-051500rc7daily20211029-generic (x86_64) 20211028, Desktop: GNOME Shell 40.5, Display Server: X Server 1.20.13 + Wayland, OpenGL: 4.6 Mesa 22.0.0-devel (git-f13d486 2021-11-03 impish-oibaf-ppa), Vulkan: 1.2.195, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 B: Processor: Intel Core i9-11900K @ 5.10GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG MAXIMUS XIII HERO (1007 BIOS), Chipset: Intel Tiger Lake-H, Memory: 32GB, Disk: 2000GB Corsair Force MP600, Graphics: ASUS Intel RKL GT1 3GB (1300MHz), Audio: Intel Tiger Lake-H HD Audio, Monitor: MX279, Network: 2 x Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411 OS: Ubuntu 21.10, Kernel: 5.15.0-051500rc7daily20211029-generic (x86_64) 20211028, Desktop: GNOME Shell 40.5, Display Server: X Server 1.20.13 + Wayland, OpenGL: 4.6 Mesa 22.0.0-devel (git-f13d486 2021-11-03 impish-oibaf-ppa), Vulkan: 1.2.195, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 C: Processor: Intel Core i9-11900K @ 5.10GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG MAXIMUS XIII HERO (1007 BIOS), Chipset: Intel Tiger Lake-H, Memory: 32GB, Disk: 2000GB Corsair Force MP600, Graphics: ASUS Intel RKL GT1 3GB (1300MHz), Audio: Intel Tiger Lake-H HD Audio, Monitor: MX279, Network: 2 x Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411 OS: Ubuntu 21.10, Kernel: 5.15.0-051500rc7daily20211029-generic (x86_64) 20211028, Desktop: GNOME Shell 40.5, Display Server: X Server 1.20.13 + Wayland, OpenGL: 4.6 Mesa 22.0.0-devel (git-f13d486 2021-11-03 impish-oibaf-ppa), Vulkan: 1.2.195, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 D: Processor: Intel Core i9-11900K @ 5.10GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG MAXIMUS XIII HERO (1007 BIOS), Chipset: Intel Tiger Lake-H, Memory: 32GB, Disk: 2000GB Corsair Force MP600, Graphics: ASUS Intel RKL GT1 3GB (1300MHz), Audio: Intel Tiger Lake-H HD Audio, Monitor: MX279, Network: 2 x Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411 OS: Ubuntu 21.10, Kernel: 5.15.0-051500rc7daily20211029-generic (x86_64) 20211028, Desktop: GNOME Shell 40.5, Display Server: X Server 1.20.13 + Wayland, OpenGL: 4.6 Mesa 22.0.0-devel (git-f13d486 2021-11-03 impish-oibaf-ppa), Vulkan: 1.2.195, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 Nettle 3.8 Test: aes256 Mbyte/s > Higher Is Better A . 12207.52 |================================================================= B . 12205.23 |================================================================= C . 12195.87 |================================================================= D . 12155.79 |================================================================= Nettle 3.8 Test: chacha Mbyte/s > Higher Is Better A . 1519.06 |================================================================== B . 1511.89 |================================================================== C . 1517.83 |================================================================== D . 1520.61 |================================================================== Nettle 3.8 Test: sha512 Mbyte/s > Higher Is Better A . 722.49 |================================================================= B . 721.29 |================================================================= C . 747.25 |=================================================================== D . 726.78 |================================================================= Nettle 3.8 Test: poly1305-aes Mbyte/s > Higher Is Better A . 4641.58 |================================================================== B . 4442.12 |=============================================================== C . 4637.23 |================================================================== D . 4638.26 |================================================================== Stress-NG 0.14 Test: MMAP Bogo Ops/s > Higher Is Better A . 258.42 |=================================================================== B . 258.18 |=================================================================== C . 258.02 |=================================================================== Stress-NG 0.14 Test: NUMA Bogo Ops/s > Higher Is Better A . 320.08 |=================================================================== B . 316.03 |================================================================== C . 314.08 |================================================================== Stress-NG 0.14 Test: Futex Bogo Ops/s > Higher Is Better A . 2019792.94 |========================================================= B . 2102295.18 |=========================================================== C . 2247778.96 |=============================================================== Stress-NG 0.14 Test: MEMFD Bogo Ops/s > Higher Is Better A . 1012.73 |================================================================== B . 1004.36 |================================================================= C . 1013.30 |================================================================== Stress-NG 0.14 Test: Atomic Bogo Ops/s > Higher Is Better A . 357591.98 |============================================================== B . 344544.20 |============================================================ C . 366961.11 |================================================================ Stress-NG 0.14 Test: Crypto Bogo Ops/s > Higher Is Better A . 13517.57 |================================================================= B . 13448.13 |================================================================= C . 13507.57 |================================================================= Stress-NG 0.14 Test: Malloc Bogo Ops/s > Higher Is Better A . 9452055.42 |=============================================================== B . 9467042.29 |=============================================================== C . 9521309.34 |=============================================================== Stress-NG 0.14 Test: Forking Bogo Ops/s > Higher Is Better A . 76531.56 |================================================================ B . 77706.13 |================================================================= C . 77378.24 |================================================================= Stress-NG 0.14 Test: IO_uring Bogo Ops/s > Higher Is Better A . 24227.96 |============================================================== B . 25422.10 |================================================================= C . 25003.00 |================================================================ Stress-NG 0.14 Test: SENDFILE Bogo Ops/s > Higher Is Better A . 229138.15 |================================================================ B . 228041.03 |================================================================ C . 228816.34 |================================================================ Stress-NG 0.14 Test: CPU Cache Bogo Ops/s > Higher Is Better A . 221.73 |=================================================================== B . 222.46 |=================================================================== C . 219.93 |================================================================== Stress-NG 0.14 Test: CPU Stress Bogo Ops/s > Higher Is Better A . 23228.30 |================================================================= B . 23119.63 |================================================================= C . 23206.52 |================================================================= Stress-NG 0.14 Test: Semaphores Bogo Ops/s > Higher Is Better A . 1287975.24 |=============================================================== B . 1286303.11 |=============================================================== C . 1288557.18 |=============================================================== Stress-NG 0.14 Test: Matrix Math Bogo Ops/s > Higher Is Better A . 57452.05 |================================================================= B . 57205.06 |================================================================= C . 57451.66 |================================================================= Stress-NG 0.14 Test: Vector Math Bogo Ops/s > Higher Is Better A . 58868.12 |================================================================= B . 58952.20 |================================================================= C . 58922.31 |================================================================= Stress-NG 0.14 Test: x86_64 RdRand Bogo Ops/s > Higher Is Better A . 77949.10 |================================================================= B . 77948.33 |================================================================= C . 77859.90 |================================================================= Stress-NG 0.14 Test: Memory Copying Bogo Ops/s > Higher Is Better A . 1607.49 |================================================================== B . 1607.21 |================================================================== C . 1610.06 |================================================================== Stress-NG 0.14 Test: Socket Activity Bogo Ops/s > Higher Is Better A . 9279.07 |================================================================== B . 9245.36 |================================================================== C . 9236.06 |================================================================== Stress-NG 0.14 Test: Context Switching Bogo Ops/s > Higher Is Better A . 1924100.28 |============================================================== B . 1955167.18 |=============================================================== C . 1946582.89 |=============================================================== Stress-NG 0.14 Test: Glibc C String Functions Bogo Ops/s > Higher Is Better A . 1700830.81 |============================================================== B . 1359296.88 |================================================= C . 1733539.89 |=============================================================== Stress-NG 0.14 Test: Glibc Qsort Data Sorting Bogo Ops/s > Higher Is Better A . 182.60 |=================================================================== B . 183.97 |=================================================================== C . 183.73 |=================================================================== Stress-NG 0.14 Test: System V Message Passing Bogo Ops/s > Higher Is Better A . 11534338.15 |============================================================== B . 11517263.47 |============================================================== C . 11528872.37 |============================================================== Renaissance 0.14 Test: Scala Dotty ms < Lower Is Better A . 636.7 |============================================================== B . 616.2 |============================================================ C . 689.1 |=================================================================== D . 703.8 |==================================================================== Renaissance 0.14 Test: Random Forest ms < Lower Is Better A . 480.8 |==================================================================== B . 480.0 |==================================================================== C . 481.8 |==================================================================== D . 480.4 |==================================================================== Renaissance 0.14 Test: ALS Movie Lens ms < Lower Is Better A . 13808.3 |================================================================== B . 13827.4 |================================================================== C . 13710.1 |================================================================= D . 13643.6 |================================================================= Renaissance 0.14 Test: Apache Spark ALS ms < Lower Is Better A . 20416.4 |================================================================= B . 20524.6 |================================================================= C . 20526.5 |================================================================= D . 20797.9 |================================================================== Renaissance 0.14 Test: Apache Spark Bayes ms < Lower Is Better A . 1380.4 |=================================================================== B . 1371.9 |================================================================== C . 1389.8 |=================================================================== D . 1365.4 |================================================================== Renaissance 0.14 Test: Savina Reactors.IO ms < Lower Is Better A . 7837.9 |=================================================================== B . 7456.8 |================================================================ C . 7232.3 |============================================================== D . 7760.0 |================================================================== Renaissance 0.14 Test: Apache Spark PageRank ms < Lower Is Better A . 2693.3 |================================================================= B . 2757.9 |=================================================================== C . 2560.8 |============================================================== D . 2719.0 |================================================================== Renaissance 0.14 Test: Finagle HTTP Requests ms < Lower Is Better A . 2720.8 |=================================================================== B . 2710.6 |=================================================================== C . 2707.7 |=================================================================== D . 2692.1 |================================================================== Renaissance 0.14 Test: In-Memory Database Shootout ms < Lower Is Better A . 2355.5 |================================================================== B . 2363.6 |================================================================== C . 2381.9 |=================================================================== D . 2355.9 |================================================================== Renaissance 0.14 Test: Akka Unbalanced Cobwebbed Tree ms < Lower Is Better A . 9752.9 |=================================================================== B . 9690.2 |================================================================== C . 9803.8 |=================================================================== D . 9650.6 |================================================================== Renaissance 0.14 Test: Genetic Algorithm Using Jenetics + Futures ms < Lower Is Better A . 1326.7 |================================================================== B . 1297.7 |================================================================= C . 1344.6 |=================================================================== D . 1308.1 |================================================================= Glibc Benchmarks Benchmark: cos ns < Lower Is Better A . 54.45 |==================================================================== B . 53.84 |=================================================================== C . 53.81 |=================================================================== D . 53.80 |=================================================================== Glibc Benchmarks Benchmark: exp ns < Lower Is Better A . 10.04 |================================================================== B . 10.03 |================================================================== C . 10.28 |==================================================================== D . 10.30 |==================================================================== Glibc Benchmarks Benchmark: ffs ns < Lower Is Better A . 3.33365 |================================================================= B . 3.37358 |================================================================== C . 3.33392 |================================================================= D . 3.33422 |================================================================= Glibc Benchmarks Benchmark: sin ns < Lower Is Better A . 45.56 |================================================================== B . 46.37 |=================================================================== C . 46.86 |==================================================================== D . 45.56 |================================================================== Glibc Benchmarks Benchmark: log2 ns < Lower Is Better A . 15.15 |==================================================================== B . 15.14 |==================================================================== C . 15.14 |==================================================================== D . 15.24 |==================================================================== Glibc Benchmarks Benchmark: modf ns < Lower Is Better A . 4.66291 |================================================================== B . 4.65510 |================================================================== C . 4.65758 |================================================================== D . 4.65987 |================================================================== Glibc Benchmarks Benchmark: sinh ns < Lower Is Better A . 17.21 |================================================================= B . 17.14 |================================================================ C . 17.18 |================================================================ D . 18.14 |==================================================================== Glibc Benchmarks Benchmark: sqrt ns < Lower Is Better A . 3.99377 |================================================================== B . 3.99317 |================================================================== C . 3.99370 |================================================================== D . 3.99406 |================================================================== Glibc Benchmarks Benchmark: tanh ns < Lower Is Better A . 26.10 |==================================================================== B . 26.09 |==================================================================== C . 26.13 |==================================================================== D . 26.11 |==================================================================== Glibc Benchmarks Benchmark: asinh ns < Lower Is Better A . 21.06 |==================================================================== B . 21.08 |==================================================================== C . 21.08 |==================================================================== D . 21.09 |==================================================================== Glibc Benchmarks Benchmark: atanh ns < Lower Is Better A . 27.02 |================================================================== B . 27.03 |================================================================== C . 27.77 |==================================================================== D . 27.35 |=================================================================== Glibc Benchmarks Benchmark: ffsll ns < Lower Is Better A . 3.33510 |================================================================= B . 3.33819 |================================================================= C . 3.37318 |================================================================== D . 3.33486 |================================================================= Glibc Benchmarks Benchmark: sincos ns < Lower Is Better A . 31.72 |==================================================================== B . 31.72 |==================================================================== C . 31.71 |==================================================================== D . 31.71 |==================================================================== Glibc Benchmarks Benchmark: pthread_once ns < Lower Is Better A . 3.32140 |================================================================= B . 3.32250 |================================================================= C . 3.38731 |================================================================== D . 3.32184 |================================================================= Etcpak 1.0 Benchmark: Multi-Threaded - Configuration: ETC2 Mpx/s > Higher Is Better A . 2658.51 |================================================================== B . 2656.51 |================================================================== C . 2656.20 |================================================================== D . 2658.62 |================================================================== Etcpak 1.0 Benchmark: Single-Threaded - Configuration: ETC2 Mpx/s > Higher Is Better A . 307.60 |=================================================================== B . 307.01 |=================================================================== C . 306.91 |=================================================================== D . 306.41 |=================================================================== Google Draco 1.5.0 Model: Lion ms < Lower Is Better A . 3569 |===================================================================== B . 3562 |===================================================================== C . 3548 |===================================================================== Google Draco 1.5.0 Model: Church Facade ms < Lower Is Better A . 5131 |===================================================================== B . 5117 |===================================================================== C . 5122 |===================================================================== WebP2 Image Encode 20220422 Encode Settings: Default Seconds < Lower Is Better A . 3.251 |================================================================== B . 3.295 |=================================================================== C . 3.368 |==================================================================== WebP2 Image Encode 20220422 Encode Settings: Quality 75, Compression Effort 7 Seconds < Lower Is Better A . 179.59 |================================================================== B . 180.44 |=================================================================== C . 181.39 |=================================================================== WebP2 Image Encode 20220422 Encode Settings: Quality 95, Compression Effort 7 Seconds < Lower Is Better A . 371.22 |=================================================================== B . 370.69 |=================================================================== C . 369.82 |=================================================================== WebP2 Image Encode 20220422 Encode Settings: Quality 100, Compression Effort 5 Seconds < Lower Is Better A . 4.979 |==================================================================== B . 4.966 |==================================================================== C . 4.968 |==================================================================== WebP2 Image Encode 20220422 Encode Settings: Quality 100, Lossless Compression Seconds < Lower Is Better A . 791.39 |=================================================================== B . 787.34 |=================================================================== C . 792.95 |=================================================================== ONNX Runtime 1.11 Model: GPT-2 - Device: CPU - Executor: Parallel Inferences Per Minute > Higher Is Better A . 5384 |===================================================================== B . 5396 |===================================================================== C . 5376 |===================================================================== ONNX Runtime 1.11 Model: GPT-2 - Device: CPU - Executor: Standard Inferences Per Minute > Higher Is Better A . 6701 |===================================================================== B . 6702 |===================================================================== C . 6640 |==================================================================== ONNX Runtime 1.11 Model: yolov4 - Device: CPU - Executor: Parallel Inferences Per Minute > Higher Is Better A . 306 |====================================================================== B . 308 |====================================================================== C . 306 |====================================================================== ONNX Runtime 1.11 Model: yolov4 - Device: CPU - Executor: Standard Inferences Per Minute > Higher Is Better A . 526 |====================================================================== B . 526 |====================================================================== C . 525 |====================================================================== ONNX Runtime 1.11 Model: bertsquad-12 - Device: CPU - Executor: Parallel Inferences Per Minute > Higher Is Better A . 512 |====================================================================== B . 500 |==================================================================== C . 511 |====================================================================== ONNX Runtime 1.11 Model: bertsquad-12 - Device: CPU - Executor: Standard Inferences Per Minute > Higher Is Better A . 1015 |===================================================================== B . 1010 |===================================================================== C . 642 |============================================ ONNX Runtime 1.11 Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel Inferences Per Minute > Higher Is Better A . 70 |====================================================================== B . 71 |======================================================================= C . 70 |====================================================================== ONNX Runtime 1.11 Model: fcn-resnet101-11 - Device: CPU - Executor: Standard Inferences Per Minute > Higher Is Better A . 104 |====================================================================== B . 104 |====================================================================== C . 104 |====================================================================== ONNX Runtime 1.11 Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel Inferences Per Minute > Higher Is Better A . 1262 |===================================================================== B . 1269 |===================================================================== C . 1255 |==================================================================== ONNX Runtime 1.11 Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard Inferences Per Minute > Higher Is Better A . 2078 |===================================================================== B . 2071 |===================================================================== C . 2076 |===================================================================== ONNX Runtime 1.11 Model: super-resolution-10 - Device: CPU - Executor: Parallel Inferences Per Minute > Higher Is Better A . 4547 |==================================================================== B . 4525 |==================================================================== C . 4586 |===================================================================== ONNX Runtime 1.11 Model: super-resolution-10 - Device: CPU - Executor: Standard Inferences Per Minute > Higher Is Better A . 4558 |===================================================================== B . 4528 |===================================================================== C . 4548 |===================================================================== TensorFlow Lite 2022-05-18 Model: SqueezeNet Microseconds < Lower Is Better A . 1822.43 |================================================================== B . 1813.38 |================================================================== C . 1808.92 |================================================================== TensorFlow Lite 2022-05-18 Model: Inception V4 Microseconds < Lower Is Better A . 26841.2 |================================================================== B . 26581.3 |================================================================= C . 26584.0 |================================================================= TensorFlow Lite 2022-05-18 Model: NASNet Mobile Microseconds < Lower Is Better A . 7571.79 |================================================================== B . 7367.44 |================================================================ C . 7532.16 |================================================================== TensorFlow Lite 2022-05-18 Model: Mobilenet Float Microseconds < Lower Is Better A . 1437.54 |================================================================= B . 1459.18 |================================================================== C . 1422.45 |================================================================ TensorFlow Lite 2022-05-18 Model: Mobilenet Quant Microseconds < Lower Is Better A . 2930.31 |================================================================= B . 2997.03 |================================================================== C . 2902.28 |================================================================ TensorFlow Lite 2022-05-18 Model: Inception ResNet V2 Microseconds < Lower Is Better A . 26210.1 |================================================================== B . 26131.7 |================================================================== C . 25991.2 |================================================================= GROMACS 2022.1 Implementation: MPI CPU - Input: water_GMX50_bare Ns Per Day > Higher Is Better A . 0.995 |=================================================================== B . 1.001 |==================================================================== C . 1.004 |==================================================================== oneDNN 2.6 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 4.01177 |================================================================== B . 4.00817 |================================================================== C . 4.02480 |================================================================== D . 4.00116 |================================================================== oneDNN 2.6 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 11.11 |==================================================================== B . 11.12 |==================================================================== C . 11.12 |==================================================================== D . 11.12 |==================================================================== oneDNN 2.6 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 0.720371 |================================================================ B . 0.715645 |================================================================ C . 0.716538 |================================================================ D . 0.726471 |================================================================= oneDNN 2.6 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 3.08878 |================================================================== B . 3.06780 |================================================================= C . 3.06944 |================================================================= D . 3.10236 |================================================================== oneDNN 2.6 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better A . 8.55826 |================================================================== B . 8.54762 |================================================================== C . 8.54691 |================================================================== D . 8.55027 |================================================================== oneDNN 2.6 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better A . 5.38692 |================================================================= B . 5.20558 |=============================================================== C . 5.44701 |================================================================== D . 5.22850 |=============================================================== oneDNN 2.6 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 14.14 |==================================================================== B . 14.12 |==================================================================== C . 14.13 |==================================================================== D . 14.12 |==================================================================== oneDNN 2.6 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 8.06688 |================================================================== B . 8.03869 |================================================================== C . 7.70230 |=============================================================== D . 7.72180 |=============================================================== oneDNN 2.6 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 4.33830 |================================================================== B . 4.33567 |================================================================== C . 4.33558 |================================================================== D . 4.33067 |================================================================== oneDNN 2.6 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 11.97 |==================================================================== B . 11.96 |==================================================================== C . 11.97 |==================================================================== D . 11.96 |==================================================================== oneDNN 2.6 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 0.825884 |================================================================= B . 0.826044 |================================================================= C . 0.826686 |================================================================= D . 0.826144 |================================================================= oneDNN 2.6 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 1.47653 |================================================================ B . 1.46563 |================================================================ C . 1.51319 |================================================================== D . 1.50262 |================================================================== oneDNN 2.6 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 3118.35 |================================================================= B . 3189.95 |================================================================== C . 3106.14 |================================================================ D . 3106.54 |================================================================ oneDNN 2.6 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 1831.84 |================================================================== B . 1831.92 |================================================================== C . 1832.56 |================================================================== D . 1825.78 |================================================================== oneDNN 2.6 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 4358.46 |================================================================== B . 3107.86 |=============================================== C . 3113.19 |=============================================== D . 3110.84 |=============================================== oneDNN 2.6 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better A . 16.16 |==================================================================== B . 16.15 |==================================================================== C . 16.16 |==================================================================== D . 16.15 |==================================================================== oneDNN 2.6 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better A . 18.79 |==================================================================== B . 18.76 |==================================================================== C . 18.78 |==================================================================== D . 18.78 |==================================================================== oneDNN 2.6 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better A . 17.15 |==================================================================== B . 17.15 |==================================================================== C . 17.15 |==================================================================== D . 17.14 |==================================================================== oneDNN 2.6 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 2245.91 |================================================================== B . 1833.40 |====================================================== C . 1839.49 |====================================================== D . 1831.95 |====================================================== oneDNN 2.6 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 3.23261 |================================================================== B . 3.23137 |================================================================== C . 3.23367 |================================================================== D . 3.24005 |================================================================== oneDNN 2.6 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better A . 3115.29 |================================================================== B . 3104.69 |================================================================== C . 3114.22 |================================================================== D . 3108.58 |================================================================== oneDNN 2.6 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better A . 1833.14 |================================================================== B . 1831.29 |================================================================== C . 1831.34 |================================================================== D . 1830.71 |================================================================== oneDNN 2.6 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 1.29412 |================================================================== B . 1.29350 |================================================================== C . 1.29680 |================================================================== D . 1.30110 |================================================================== oneDNN 2.6 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better A . 3.43567 |================================================================== B . 3.44465 |================================================================== C . 3.43528 |================================================================== D . 3.44775 |================================================================== QMCPACK 3.13 Input: simple-H2O Total Execution Time - Seconds < Lower Is Better A . 26.69 |==================================================================== B . 22.65 |========================================================== C . 21.87 |======================================================== D . 22.64 |========================================================== GPAW 22.1 Input: Carbon Nanotube Seconds < Lower Is Better A . 446.99 |=================================================================== B . 445.39 |=================================================================== C . 445.45 |=================================================================== Quantum ESPRESSO 7.0 Input: AUSURF112 Seconds < Lower Is Better A . 1542.31 |================================================================== B . 1534.64 |================================================================== C . 1535.90 |================================================================== D . 1536.74 |================================================================== Java JMH Throughput Ops/s > Higher Is Better A . 25536369445.47 |=========================================================== B . 25513909701.72 |=========================================================== C . 25481229119.71 |=========================================================== perf-bench Benchmark: Epoll Wait ops/sec > Higher Is Better A . 127515 |================================================================= B . 130239 |=================================================================== C . 128524 |================================================================== D . 131078 |=================================================================== perf-bench Benchmark: Futex Hash ops/sec > Higher Is Better A . 6819705 |================================================================== B . 6685401 |================================================================= C . 6810542 |================================================================== D . 6460586 |=============================================================== perf-bench Benchmark: Memcpy 1MB GB/sec > Higher Is Better A . 31.36 |==================================================================== B . 31.36 |==================================================================== C . 31.49 |==================================================================== D . 31.36 |==================================================================== perf-bench Benchmark: Memset 1MB GB/sec > Higher Is Better A . 54.19 |================================================================ B . 57.45 |==================================================================== C . 55.72 |================================================================== D . 54.12 |================================================================ perf-bench Benchmark: Sched Pipe ops/sec > Higher Is Better A . 318866 |================================================================== B . 315267 |================================================================= C . 316210 |================================================================== D . 322747 |=================================================================== perf-bench Benchmark: Futex Lock-Pi ops/sec > Higher Is Better A . 1082 |===================================================================== B . 1076 |==================================================================== C . 1087 |===================================================================== D . 1089 |===================================================================== perf-bench Benchmark: Syscall Basic ops/sec > Higher Is Better A . 22549195 |================================================================= B . 22542556 |================================================================= C . 22538675 |================================================================= D . 22573195 |================================================================= Timed MPlayer Compilation 1.5 Time To Compile Seconds < Lower Is Better A . 32.76 |==================================================================== B . 32.85 |==================================================================== C . 32.79 |==================================================================== D . 32.76 |==================================================================== Parallel BZIP2 Compression 1.1.13 FreeBSD-13.0-RELEASE-amd64-memstick.img Compression Seconds < Lower Is Better A . 7.734 |================================================================= B . 8.053 |==================================================================== C . 8.033 |==================================================================== D . 7.764 |================================================================== 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 |===================================================================== D . 0.16 |===================================================================== AOM AV1 3.3 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 5.17 |===================================================================== B . 5.15 |===================================================================== C . 5.14 |===================================================================== D . 5.15 |===================================================================== AOM AV1 3.3 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 16.21 |==================================================================== B . 16.13 |==================================================================== C . 16.03 |=================================================================== D . 16.06 |=================================================================== AOM AV1 3.3 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 9.90 |===================================================================== B . 9.79 |==================================================================== C . 9.79 |==================================================================== D . 9.81 |==================================================================== AOM AV1 3.3 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 48.31 |==================================================================== B . 48.44 |==================================================================== C . 48.22 |==================================================================== D . 48.04 |=================================================================== AOM AV1 3.3 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 64.44 |================================================================ B . 68.64 |==================================================================== C . 68.35 |==================================================================== D . 67.18 |=================================================================== AOM AV1 3.3 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 72.48 |==================================================================== B . 71.70 |=================================================================== C . 62.05 |========================================================== D . 71.97 |==================================================================== AOM AV1 3.3 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 0.42 |===================================================================== B . 0.42 |===================================================================== C . 0.42 |===================================================================== D . 0.42 |===================================================================== AOM AV1 3.3 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 11.32 |==================================================================== B . 11.27 |==================================================================== C . 11.25 |==================================================================== D . 11.27 |==================================================================== AOM AV1 3.3 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 11.93 |================================================================== B . 11.94 |================================================================== C . 11.90 |================================================================== D . 12.31 |==================================================================== AOM AV1 3.3 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 30.47 |==================================================================== B . 30.30 |==================================================================== C . 30.33 |==================================================================== D . 30.29 |==================================================================== AOM AV1 3.3 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 145.53 |=================================================================== B . 143.21 |================================================================== C . 143.74 |================================================================== D . 143.85 |================================================================== AOM AV1 3.3 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 176.81 |=============================================================== B . 188.18 |=================================================================== C . 186.32 |================================================================== D . 187.30 |=================================================================== AOM AV1 3.3 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 203.50 |=================================================================== B . 203.95 |=================================================================== C . 201.74 |================================================================== D . 197.60 |================================================================= libgav1 0.17 Video Input: Chimera 1080p FPS > Higher Is Better A . 261.38 |=================================================================== B . 260.27 |=================================================================== C . 260.44 |=================================================================== D . 260.77 |=================================================================== libgav1 0.17 Video Input: Summer Nature 4K FPS > Higher Is Better A . 84.58 |==================================================================== B . 84.49 |==================================================================== C . 84.66 |==================================================================== D . 84.51 |==================================================================== libgav1 0.17 Video Input: Summer Nature 1080p FPS > Higher Is Better A . 335.57 |=================================================================== B . 336.45 |=================================================================== C . 336.42 |=================================================================== D . 335.89 |=================================================================== libgav1 0.17 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better A . 78.41 |==================================================================== B . 77.68 |=================================================================== C . 78.21 |==================================================================== D . 78.62 |==================================================================== SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 49.54 |============================================================== B . 54.02 |==================================================================== C . 53.02 |=================================================================== D . 53.77 |==================================================================== SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 180.10 |================================================================== B . 182.72 |=================================================================== C . 182.43 |=================================================================== D . 182.34 |=================================================================== SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 51.50 |========================================================== B . 60.65 |==================================================================== C . 60.71 |==================================================================== D . 60.66 |==================================================================== SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 183.60 |============================================================== B . 197.19 |=================================================================== C . 196.43 |=================================================================== D . 196.51 |=================================================================== SVT-VP9 0.3 Tuning: Visual Quality Optimized - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 50.36 |==================================================================== B . 50.41 |==================================================================== C . 50.37 |==================================================================== D . 50.30 |==================================================================== SVT-VP9 0.3 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 161.18 |=================================================================== B . 161.53 |=================================================================== C . 161.45 |=================================================================== D . 161.49 |=================================================================== x264 2022-02-22 Video Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 31.05 |==================================================================== B . 30.80 |=================================================================== C . 30.89 |==================================================================== D . 30.95 |==================================================================== x264 2022-02-22 Video Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 129.99 |=================================================================== B . 129.21 |=================================================================== C . 125.68 |================================================================= D . 128.89 |================================================================== dav1d 1.0 Video Input: Chimera 1080p FPS > Higher Is Better A . 720.11 |=================================================================== B . 713.79 |================================================================== C . 720.40 |=================================================================== D . 720.46 |=================================================================== dav1d 1.0 Video Input: Summer Nature 4K FPS > Higher Is Better A . 198.82 |=================================================================== B . 194.82 |================================================================== C . 189.63 |================================================================ D . 189.52 |================================================================ dav1d 1.0 Video Input: Summer Nature 1080p FPS > Higher Is Better A . 893.33 |================================================================== B . 904.56 |=================================================================== C . 903.95 |=================================================================== D . 904.36 |=================================================================== dav1d 1.0 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better A . 492.46 |=================================================================== B . 490.12 |=================================================================== C . 471.44 |================================================================ D . 476.40 |================================================================= SVT-AV1 1.0 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 2.261 |=================================================================== B . 2.272 |=================================================================== C . 2.292 |==================================================================== D . 2.284 |==================================================================== SVT-AV1 1.0 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 31.43 |==================================================================== B . 31.36 |=================================================================== C . 31.62 |==================================================================== D . 31.38 |=================================================================== SVT-AV1 1.0 Encoder Mode: Preset 10 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 67.48 |========================================================== B . 79.17 |==================================================================== C . 79.41 |==================================================================== D . 79.62 |==================================================================== SVT-AV1 1.0 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 103.41 |================================================================= B . 106.23 |=================================================================== C . 106.92 |=================================================================== D . 106.51 |=================================================================== SVT-AV1 1.0 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 6.689 |=================================================================== B . 6.740 |==================================================================== C . 6.636 |=================================================================== D . 6.772 |==================================================================== SVT-AV1 1.0 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 110.73 |=================================================================== B . 109.33 |================================================================== C . 111.24 |=================================================================== D . 110.00 |================================================================== SVT-AV1 1.0 Encoder Mode: Preset 10 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 225.40 |================================================================== B . 227.35 |=================================================================== C . 226.72 |=================================================================== D . 219.67 |================================================================= SVT-AV1 1.0 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 408.32 |================================================================= B . 423.77 |=================================================================== C . 419.71 |================================================================== D . 422.85 |=================================================================== SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 2.32 |===================================================================== B . 2.32 |===================================================================== C . 2.32 |===================================================================== D . 2.32 |===================================================================== SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 43.99 |==================================================================== B . 42.55 |================================================================== C . 42.38 |================================================================== D . 42.54 |================================================================== SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 81.12 |=================================================================== B . 82.05 |==================================================================== C . 81.88 |==================================================================== D . 81.04 |=================================================================== SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 9.28 |===================================================================== B . 9.30 |===================================================================== C . 9.29 |===================================================================== D . 9.30 |===================================================================== SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 137.02 |=================================================================== B . 137.36 |=================================================================== C . 137.39 |=================================================================== D . 137.68 |=================================================================== SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 269.91 |================================================================== B . 272.36 |=================================================================== C . 269.66 |================================================================== D . 272.73 |=================================================================== Blender 3.2 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better A . 131.60 |=================================================================== B . 131.44 |=================================================================== C . 131.29 |=================================================================== Blender 3.2 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better A . 360.15 |================================================================== B . 365.15 |=================================================================== C . 361.23 |================================================================== Blender 3.2 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better A . 173.26 |=================================================================== B . 173.53 |=================================================================== C . 173.32 |=================================================================== Blender 3.2 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better A . 1447.66 |================================================================== B . 1444.64 |================================================================== C . 1455.10 |================================================================== Blender 3.2 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better A . 457.21 |=================================================================== B . 455.80 |=================================================================== C . 456.21 |=================================================================== libavif avifenc 0.10 Encoder Speed: 0 Seconds < Lower Is Better A . 148.59 |================================================================== B . 148.41 |================================================================== C . 150.01 |=================================================================== D . 149.48 |=================================================================== libavif avifenc 0.10 Encoder Speed: 2 Seconds < Lower Is Better A . 70.49 |==================================================================== B . 70.03 |==================================================================== C . 69.90 |=================================================================== D . 69.98 |==================================================================== libavif avifenc 0.10 Encoder Speed: 6 Seconds < Lower Is Better A . 9.426 |==================================================================== B . 9.370 |=================================================================== C . 9.462 |==================================================================== D . 9.467 |==================================================================== libavif avifenc 0.10 Encoder Speed: 6, Lossless Seconds < Lower Is Better A . 12.22 |==================================================================== B . 12.08 |=================================================================== C . 12.15 |=================================================================== D . 12.28 |==================================================================== libavif avifenc 0.10 Encoder Speed: 10, Lossless Seconds < Lower Is Better A . 5.349 |==================================================================== B . 5.362 |==================================================================== C . 5.381 |==================================================================== D . 5.386 |==================================================================== OSPray 2.9 Benchmark: particle_volume/ao/real_time Items Per Second > Higher Is Better A . 36.41 |==================================================================== B . 36.02 |=================================================================== C . 36.17 |==================================================================== D . 36.34 |==================================================================== OSPray 2.9 Benchmark: particle_volume/scivis/real_time Items Per Second > Higher Is Better A . 35.65 |==================================================================== B . 35.56 |=================================================================== C . 35.78 |==================================================================== D . 35.84 |==================================================================== OSPray 2.9 Benchmark: particle_volume/pathtracer/real_time Items Per Second > Higher Is Better A . 297.46 |=================================================================== B . 297.50 |=================================================================== C . 297.68 |=================================================================== D . 297.35 |=================================================================== OSPray 2.9 Benchmark: gravity_spheres_volume/dim_512/ao/real_time Items Per Second > Higher Is Better A . 4.24782 |================================================================== B . 4.24824 |================================================================== C . 4.22833 |================================================================= D . 4.26224 |================================================================== OSPray 2.9 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time Items Per Second > Higher Is Better A . 4.20308 |================================================================== B . 4.18832 |================================================================= C . 4.19096 |================================================================= D . 4.23414 |================================================================== OSPray 2.9 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time Items Per Second > Higher Is Better A . 5.09145 |================================================================== B . 5.06027 |================================================================== C . 5.08966 |================================================================== D . 5.08714 |================================================================== OSPray Studio 0.10 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better A . 1918 |===================================================================== B . 1907 |===================================================================== C . 1911 |===================================================================== D . 1912 |===================================================================== OSPray Studio 0.10 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better A . 1938 |==================================================================== B . 1957 |===================================================================== C . 1956 |===================================================================== D . 1953 |===================================================================== OSPray Studio 0.10 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better A . 2328 |===================================================================== B . 2332 |===================================================================== C . 2331 |===================================================================== OSPray Studio 0.10 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better A . 30515 |==================================================================== B . 30572 |==================================================================== C . 30584 |==================================================================== OSPray Studio 0.10 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better A . 64451 |==================================================================== B . 64393 |==================================================================== C . 64242 |==================================================================== OSPray Studio 0.10 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better A . 30947 |=================================================================== B . 31244 |==================================================================== C . 31173 |==================================================================== OSPray Studio 0.10 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better A . 65641 |==================================================================== B . 65765 |==================================================================== C . 65487 |==================================================================== OSPray Studio 0.10 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better A . 36885 |=================================================================== B . 37170 |==================================================================== C . 37059 |==================================================================== OSPray Studio 0.10 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better A . 77357 |==================================================================== B . 77543 |==================================================================== C . 77555 |==================================================================== Timed Gem5 Compilation 21.2 Time To Compile Seconds < Lower Is Better A . 376.68 |=================================================================== B . 378.93 |=================================================================== C . 378.81 |=================================================================== D . 378.74 |=================================================================== InfluxDB 1.8.2 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better A . 1806268.7 |================================================================ B . 1804674.6 |================================================================ C . 1815340.8 |================================================================ InfluxDB 1.8.2 Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better A . 1818333.8 |================================================================ B . 1805397.9 |================================================================ C . 1814759.0 |================================================================ Facebook RocksDB 7.0.1 Test: Random Read Op/s > Higher Is Better A . 56567623 |================================================================= B . 56499644 |================================================================= C . 55666863 |================================================================ Facebook RocksDB 7.0.1 Test: Update Random Op/s > Higher Is Better A . 703459 |=================================================================== B . 703316 |=================================================================== C . 700065 |=================================================================== Facebook RocksDB 7.0.1 Test: Read While Writing Op/s > Higher Is Better A . 2152704 |================================================================ B . 2199309 |================================================================= C . 2223231 |================================================================== Facebook RocksDB 7.0.1 Test: Read Random Write Random Op/s > Higher Is Better A . 2027221 |================================================================== B . 2041642 |================================================================== C . 2041553 |================================================================== simdjson 2.0 Throughput Test: Kostya GB/s > Higher Is Better A . 4.69 |===================================================================== B . 4.66 |===================================================================== C . 4.65 |==================================================================== D . 4.65 |==================================================================== simdjson 2.0 Throughput Test: TopTweet GB/s > Higher Is Better A . 8.52 |===================================================================== B . 8.52 |===================================================================== C . 8.51 |===================================================================== D . 8.47 |===================================================================== simdjson 2.0 Throughput Test: LargeRandom GB/s > Higher Is Better A . 1.52 |===================================================================== B . 1.52 |===================================================================== C . 1.52 |===================================================================== D . 1.52 |===================================================================== simdjson 2.0 Throughput Test: PartialTweets GB/s > Higher Is Better A . 6.99 |===================================================================== B . 7.00 |===================================================================== C . 7.00 |===================================================================== D . 7.00 |===================================================================== simdjson 2.0 Throughput Test: DistinctUserID GB/s > Higher Is Better A . 8.60 |===================================================================== B . 8.59 |===================================================================== C . 8.59 |===================================================================== D . 8.59 |=====================================================================