Ryzen 9 5900X WSL microsoft testing on Ubuntu 20.04 via the Phoronix Test Suite. WSL1: Processor: AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads), Memory: 16GB, Disk: 931GB OS: Ubuntu 20.04, Kernel: 4.4.0-19041-Microsoft (x86_64), Compiler: GCC 9.3.0, File-System: wslfs, System Layer: wsl WSL2: Processor: AMD Ryzen 9 5900X 12-Core (12 Cores / 24 Threads), Memory: 14GB, Disk: 2 x 275GB Virtual Disk OS: Ubuntu 20.04, Kernel: 4.19.128-microsoft-standard (x86_64), Display Server: X Server, Compiler: GCC 9.3.0, File-System: ext4, System Layer: microsoft High Performance Conjugate Gradient 3.1 GFLOP/s > Higher Is Better WSL1 . 5.94518 |=============================================================== WSL2 . 4.57057 |================================================ NAMD 2.14 ATPase Simulation - 327,506 Atoms days/ns < Lower Is Better WSL1 . 1.29507 |============================================================== WSL2 . 1.31782 |=============================================================== Dolfyn 0.527 Computational Fluid Dynamics Seconds < Lower Is Better WSL1 . 13.23 |================================================================= WSL2 . 12.75 |=============================================================== Timed HMMer Search 3.3.1 Pfam Database Search Seconds < Lower Is Better WSL1 . 85.83 |================================================================= WSL2 . 81.90 |============================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein ns/day > Higher Is Better WSL1 . 8.975 |================================================================= WSL2 . 8.368 |============================================================= LZ4 Compression 1.9.3 Compression Level: 1 - Compression Speed MB/s > Higher Is Better WSL1 . 11858.24 |=========================================================== WSL2 . 12362.61 |============================================================== LZ4 Compression 1.9.3 Compression Level: 1 - Decompression Speed MB/s > Higher Is Better WSL1 . 13195.3 |============================================================= WSL2 . 13517.2 |=============================================================== LZ4 Compression 1.9.3 Compression Level: 9 - Compression Speed MB/s > Higher Is Better WSL1 . 68.65 |============================================================= WSL2 . 73.39 |================================================================= LZ4 Compression 1.9.3 Compression Level: 9 - Decompression Speed MB/s > Higher Is Better WSL1 . 12864.1 |============================================================== WSL2 . 12972.9 |=============================================================== rav1e 0.4 Alpha Speed: 1 Frames Per Second > Higher Is Better WSL1 . 0.525 |================================================================= WSL2 . 0.529 |================================================================= rav1e 0.4 Alpha Speed: 5 Frames Per Second > Higher Is Better WSL1 . 1.405 |========================================================== WSL2 . 1.579 |================================================================= rav1e 0.4 Alpha Speed: 6 Frames Per Second > Higher Is Better WSL1 . 1.813 |======================================================= WSL2 . 2.137 |================================================================= rav1e 0.4 Alpha Speed: 10 Frames Per Second > Higher Is Better WSL1 . 4.325 |========================================================= WSL2 . 4.946 |================================================================= Himeno Benchmark 3.0 Poisson Pressure Solver MFLOPS > Higher Is Better WSL1 . 5658.26 |=============================================================== WSL2 . 5067.25 |======================================================== Stockfish 12 Total Time Nodes Per Second > Higher Is Better WSL1 . 34525520 |============================================================== WSL2 . 33756880 |============================================================= asmFish 2018-07-23 1024 Hash Memory, 26 Depth Nodes/second > Higher Is Better WSL1 . 49090035 |============================================================== WSL2 . 47407751 |============================================================ Timed Clash Compilation Time To Compile Seconds < Lower Is Better WSL1 . 5.117 |= WSL2 . 310.615 |=============================================================== Timed LLVM Compilation 10.0 Time To Compile Seconds < Lower Is Better WSL1 . 483.97 |================================================================ WSL2 . 448.02 |=========================================================== Build2 0.12 Time To Compile Seconds < Lower Is Better WSL1 . 96.17 |================================================================= WSL2 . 74.20 |================================================== Numpy Benchmark Score > Higher Is Better WSL1 . 387.55 |============================================= WSL2 . 547.78 |================================================================ Apache CouchDB 3.1.1 Bulk Size: 100 - Inserts: 1000 - Rounds: 24 Seconds < Lower Is Better WSL1 . 206.59 |================================================================ WSL2 . 77.41 |======================== GROMACS 2020.3 Water Benchmark Ns Per Day > Higher Is Better WSL1 . 1.103 |================================================================= WSL2 . 0.885 |==================================================== MariaDB 10.5.2 Clients: 1 Queries Per Second > Higher Is Better WSL1 . 8751 |================================================================== WSL2 . 2287 |================= MariaDB 10.5.2 Clients: 4 Queries Per Second > Higher Is Better WSL1 . 6330 |================================================================== WSL2 . 1383 |============== MariaDB 10.5.2 Clients: 8 Queries Per Second > Higher Is Better WSL1 . 5736 |================================================================== WSL2 . 1284 |=============== MariaDB 10.5.2 Clients: 16 Queries Per Second > Higher Is Better WSL1 . 4816 |================================================================== WSL2 . 795 |=========== PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 1 - Mode: Read Only TPS > Higher Is Better WSL1 . 18714 |============================================================== WSL2 . 19715 |================================================================= PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency ms < Lower Is Better WSL1 . 0.053 |================================================================= WSL2 . 0.051 |=============================================================== PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 1 - Mode: Read Write TPS > Higher Is Better WSL1 . 2553 |================================================================== WSL2 . 1005 |========================== PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency ms < Lower Is Better WSL1 . 0.392 |======================= WSL2 . 1.100 |================================================================= PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Only TPS > Higher Is Better WSL1 . 95999 |============ WSL2 . 510906 |================================================================ PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency ms < Lower Is Better WSL1 . 0.525 |================================================================= WSL2 . 0.098 |============ PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Write TPS > Higher Is Better WSL1 . 4042 |================================================================== WSL2 . 1246 |==================== PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency ms < Lower Is Better WSL1 . 12.47 |==================== WSL2 . 40.13 |================================================================= Redis 6.0.9 Test: SADD Requests Per Second > Higher Is Better WSL1 . 1115788.58 |========================= WSL2 . 2649544.92 |============================================================ Redis 6.0.9 Test: GET Requests Per Second > Higher Is Better WSL1 . 1263897.87 |=========================== WSL2 . 2774167.42 |============================================================ Redis 6.0.9 Test: SET Requests Per Second > Higher Is Better WSL1 . 1066944.21 |========================== WSL2 . 2482028.83 |============================================================ OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU FPS > Higher Is Better WSL1 . 3.23 |================================================================== WSL2 . 3.12 |================================================================ OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU ms < Lower Is Better WSL1 . 1848.03 |============================================================= WSL2 . 1906.30 |=============================================================== OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU FPS > Higher Is Better WSL1 . 3.21 |================================================================== WSL2 . 3.10 |================================================================ OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU ms < Lower Is Better WSL1 . 1862.49 |============================================================= WSL2 . 1923.62 |=============================================================== OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU FPS > Higher Is Better WSL1 . 2.06 |================================================================== WSL2 . 2.02 |================================================================= OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU ms < Lower Is Better WSL1 . 2850.35 |============================================================= WSL2 . 2929.90 |=============================================================== OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU FPS > Higher Is Better WSL1 . 2.04 |================================================================== WSL2 . 2.02 |================================================================= OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU ms < Lower Is Better WSL1 . 2870.75 |============================================================== WSL2 . 2931.73 |=============================================================== OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better WSL1 . 9631.60 |=============================================================== WSL2 . 8535.68 |======================================================== OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better WSL1 . 0.62 |============================================================ WSL2 . 0.68 |================================================================== OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU FPS > Higher Is Better WSL1 . 9675.04 |=============================================================== WSL2 . 8562.33 |======================================================== OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU ms < Lower Is Better WSL1 . 0.61 |=========================================================== WSL2 . 0.68 |================================================================== Apache Cassandra 3.11.4 Test: Writes Op/s > Higher Is Better WSL1 . 3298 |=== WSL2 . 83840 |================================================================= AI Benchmark Alpha 0.1.2 Device Inference Score Score > Higher Is Better WSL1 . 711 |=================================================================== AI Benchmark Alpha 0.1.2 Device Training Score Score > Higher Is Better WSL1 . 751 |=================================================================== AI Benchmark Alpha 0.1.2 Device AI Score Score > Higher Is Better WSL1 . 1462 |================================================================== BRL-CAD 7.30.8 VGR Performance Metric VGR Performance Metric > Higher Is Better WSL1 . 215207 |================================================================ WSL2 . 211330 |=============================================================== InfluxDB 1.8.2 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better WSL1 . 2030406.9 |========================================================== WSL2 . 2132291.9 |============================================================= InfluxDB 1.8.2 Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better WSL1 . 2439085.5 |============================================================ WSL2 . 2497600.4 |=============================================================