AMD Ryzen 9 3950X Ubuntu Linux

AMD Ryzen 9 3950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS) and NVIDIA GeForce RTX 2080 Ti 11GB on Ubuntu 20.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2009247-FI-AMDRYZEN924
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BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
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September 23 2020
  3 Hours, 47 Minutes
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September 24 2020
  3 Hours, 43 Minutes
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September 24 2020
  3 Hours, 44 Minutes
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AMD Ryzen 9 3950X Ubuntu Linux AMD Ryzen 9 3950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS) and NVIDIA GeForce RTX 2080 Ti 11GB on Ubuntu 20.04 via the Phoronix Test Suite. Run 1: Processor: AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: NVIDIA GeForce RTX 2080 Ti 11GB (1350/7000MHz), Audio: NVIDIA TU102 HD Audio, Monitor: DELL P2415Q, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200 OS: Ubuntu 20.04, Kernel: 5.4.0-47-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: NVIDIA 450.66, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.0.228 + OpenCL 2.0 AMD-APP (3182.0), Vulkan: 1.2.133, Compiler: GCC 9.3.0 + CUDA 11.0, File-System: ext4, Screen Resolution: 3840x2160 Run 2: Processor: AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: NVIDIA GeForce RTX 2080 Ti 11GB (420/405MHz), Audio: NVIDIA TU102 HD Audio, Monitor: DELL P2415Q, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200 OS: Ubuntu 20.04, Kernel: 5.4.0-47-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: NVIDIA 450.66, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.0.228 + OpenCL 2.0 AMD-APP (3182.0), Vulkan: 1.2.133, Compiler: GCC 9.3.0 + CUDA 11.0, File-System: ext4, Screen Resolution: 3840x2160 Run 3: Processor: AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: NVIDIA GeForce RTX 2080 Ti 11GB (1350/7000MHz), Audio: NVIDIA TU102 HD Audio, Monitor: DELL P2415Q, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200 OS: Ubuntu 20.04, Kernel: 5.4.0-47-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: NVIDIA 450.66, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.0.228 + OpenCL 2.0 AMD-APP (3182.0), Vulkan: 1.2.133, Compiler: GCC 9.3.0 + CUDA 11.0, File-System: ext4, Screen Resolution: 3840x2160 MPV Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only FPS > Higher Is Better Run 1 . 372.29 |=============================================================== Run 2 . 374.39 |=============================================================== Run 3 . 372.48 |=============================================================== MPV Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only FPS > Higher Is Better Run 1 . 1236.99 |============================================================= Run 2 . 1249.00 |============================================================== Run 3 . 1242.68 |============================================================== PlaidML FP16: No - Mode: Training - Network: Mobilenet - Device: OpenCL FPS > Higher Is Better Run 1 . 187.74 |=============================================================== Run 2 . 187.63 |=============================================================== Run 3 . 187.84 |=============================================================== PlaidML FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL FPS > Higher Is Better Run 1 . 749.41 |=============================================================== Run 2 . 751.39 |=============================================================== Run 3 . 747.07 |=============================================================== PlaidML FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL FPS > Higher Is Better Run 1 . 2409.86 |============================================================== Run 2 . 2421.41 |============================================================== Run 3 . 2414.96 |============================================================== PlaidML FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL FPS > Higher Is Better Run 1 . 2750.18 |============================================================== Run 2 . 2763.05 |============================================================== Run 3 . 2756.92 |============================================================== PlaidML FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL FPS > Higher Is Better Run 1 . 213.43 |=============================================================== Run 2 . 212.51 |=============================================================== Run 3 . 212.36 |=============================================================== cl-mem 2017-01-13 Benchmark: Copy GB/s > Higher Is Better Run 1 . 325.3 |================================================================ Run 2 . 325.2 |================================================================ Run 3 . 324.5 |================================================================ cl-mem 2017-01-13 Benchmark: Read GB/s > Higher Is Better Run 1 . 545.4 |================================================================ Run 2 . 545.4 |================================================================ Run 3 . 544.9 |================================================================ cl-mem 2017-01-13 Benchmark: Write GB/s > Higher Is Better Run 1 . 447.7 |================================================================ Run 2 . 449.8 |================================================================ Run 3 . 447.7 |================================================================ perf-bench Benchmark: Memcpy 1MB GB/sec > Higher Is Better Run 1 . 15.34 |================================================================ Run 2 . 15.36 |================================================================ Run 3 . 15.09 |=============================================================== perf-bench Benchmark: Memset 1MB GB/sec > Higher Is Better Run 1 . 73.24 |================================================================ Run 2 . 73.37 |================================================================ Run 3 . 71.42 |============================================================== clpeak OpenCL Test: Global Memory Bandwidth GBPS > Higher Is Better Run 1 . 507.56 |=============================================================== Run 2 . 507.87 |=============================================================== Run 3 . 507.91 |=============================================================== Mixbench 2020-06-23 Backend: NVIDIA CUDA - Benchmark: Half Precision GFLOPS > Higher Is Better Run 1 . 32630.52 |============================================================= Run 2 . 32596.27 |============================================================= Run 3 . 32409.08 |============================================================= Mixbench 2020-06-23 Backend: NVIDIA CUDA - Benchmark: Double Precision GFLOPS > Higher Is Better Run 1 . 440.80 |=============================================================== Run 2 . 419.44 |============================================================ Run 3 . 428.03 |============================================================= Mixbench 2020-06-23 Backend: NVIDIA CUDA - Benchmark: Single Precision GFLOPS > Higher Is Better Run 1 . 14126.10 |========================================================= Run 2 . 13791.73 |======================================================== Run 3 . 15130.47 |============================================================= ViennaCL 1.4.2 OpenCL LU Factorization GFLOPS > Higher Is Better Run 1 . 79.40 |================================================================ Run 2 . 75.71 |============================================================= Run 3 . 76.83 |============================================================== clpeak OpenCL Test: Single-Precision Float GFLOPS > Higher Is Better Run 1 . 13379.77 |============================================================= Run 2 . 13387.08 |============================================================= Run 3 . 13313.50 |============================================================= clpeak OpenCL Test: Double-Precision Double GFLOPS > Higher Is Better Run 1 . 522.54 |=============================================================== Run 2 . 521.13 |=============================================================== Run 3 . 518.21 |============================================================== Mixbench 2020-06-23 Backend: NVIDIA CUDA - Benchmark: Integer GIOPS > Higher Is Better Run 1 . 14651.01 |============================================================= Run 2 . 14263.82 |=========================================================== Run 3 . 14510.11 |============================================================ clpeak OpenCL Test: Integer Compute INT GIOPS > Higher Is Better Run 1 . 13318.75 |============================================================= Run 2 . 13258.65 |============================================================= Run 3 . 13234.84 |============================================================= Hashcat 6.1.1 Benchmark: MD5 H/s > Higher Is Better Run 1 . 56554000000 |========================================================== Run 2 . 56137133333 |========================================================== Run 3 . 56145600000 |========================================================== Hashcat 6.1.1 Benchmark: SHA1 H/s > Higher Is Better Run 1 . 17962833333 |========================================================== Run 2 . 17822700000 |========================================================== Run 3 . 17812100000 |========================================================== Hashcat 6.1.1 Benchmark: 7-Zip H/s > Higher Is Better Run 1 . 880967 |=============================================================== Run 2 . 877133 |=============================================================== Run 3 . 879667 |=============================================================== Hashcat 6.1.1 Benchmark: SHA-512 H/s > Higher Is Better Run 1 . 2469700000 |=========================================================== Run 2 . 2451866667 |=========================================================== Run 3 . 2450466667 |=========================================================== Hashcat 6.1.1 Benchmark: TrueCrypt RIPEMD160 + XTS H/s > Higher Is Better Run 1 . 650967 |=============================================================== Run 2 . 646367 |=============================================================== Run 3 . 646600 |=============================================================== LibRaw 0.20 Post-Processing Benchmark Mpix/sec > Higher Is Better Run 1 . 35.30 |================================================================ Run 2 . 34.98 |=============================================================== Run 3 . 35.05 |================================================================ LeelaChessZero 0.26 Backend: OpenCL Nodes Per Second > Higher Is Better Run 1 . 11693 |================================================================ Run 2 . 11673 |================================================================ Run 3 . 11657 |================================================================ FAHBench 2.3.2 Ns Per Day > Higher Is Better Run 1 . 287.42 |=============================================================== Run 2 . 288.88 |=============================================================== Run 3 . 288.92 |=============================================================== perf-bench Benchmark: Epoll Wait ops/sec > Higher Is Better Run 1 . 33012 |============================================================== Run 2 . 34159 |================================================================ Run 3 . 34049 |================================================================ perf-bench Benchmark: Futex Hash ops/sec > Higher Is Better Run 1 . 5042694 |============================================================== Run 2 . 5021169 |============================================================== Run 3 . 5028714 |============================================================== perf-bench Benchmark: Sched Pipe ops/sec > Higher Is Better Run 1 . 392388 |============================================================== Run 2 . 397063 |=============================================================== Run 3 . 391536 |============================================================== perf-bench Benchmark: Futex Lock-Pi ops/sec > Higher Is Better Run 1 . 451 |================================================================== Run 2 . 454 |================================================================== Run 3 . 443 |================================================================ perf-bench Benchmark: Syscall Basic ops/sec > Higher Is Better Run 1 . 21570020 |========================================================= Run 2 . 22900058 |============================================================= Run 3 . 22735445 |============================================================= MandelGPU 1.3pts1 OpenCL Device: GPU Samples/sec > Higher Is Better Run 1 . 450731366.0 |========================================================= Run 2 . 455807158.0 |========================================================== Run 3 . 448875915.0 |========================================================= OctaneBench 4.00c Total Score Score > Higher Is Better Run 1 . 308.84 |=============================================================== Run 2 . 310.03 |=============================================================== Run 3 . 307.44 |============================================================== InfluxDB 1.8.2 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better Run 1 . 1349119.4 |=========================================================== Run 2 . 1372772.2 |============================================================ Run 3 . 1376801.6 |============================================================ InfluxDB 1.8.2 Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better Run 1 . 1503297.6 |=========================================================== Run 2 . 1530852.5 |============================================================ Run 3 . 1534746.9 |============================================================ InfluxDB 1.8.2 Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better Run 1 . 1534587.9 |=========================================================== Run 2 . 1562422.1 |============================================================ Run 3 . 1563580.1 |============================================================ NAMD CUDA 2.14 ATPase Simulation - 327,506 Atoms days/ns < Lower Is Better Run 1 . 0.17955 |============================================================== Run 2 . 0.17951 |============================================================== Run 3 . 0.18004 |============================================================== WebP Image Encode 1.1 Encode Settings: Default Encode Time - Seconds < Lower Is Better Run 1 . 1.456 |================================================================ Run 2 . 1.424 |=============================================================== Run 3 . 1.426 |=============================================================== WebP Image Encode 1.1 Encode Settings: Quality 100 Encode Time - Seconds < Lower Is Better Run 1 . 2.225 |================================================================ Run 2 . 2.212 |================================================================ Run 3 . 2.213 |================================================================ WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless Encode Time - Seconds < Lower Is Better Run 1 . 15.51 |=============================================================== Run 2 . 15.88 |================================================================ Run 3 . 15.47 |============================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression Encode Time - Seconds < Lower Is Better Run 1 . 6.718 |============================================================== Run 2 . 6.811 |=============================================================== Run 3 . 6.912 |================================================================ WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression Encode Time - Seconds < Lower Is Better Run 1 . 32.34 |=============================================================== Run 2 . 32.88 |================================================================ Run 3 . 32.85 |================================================================ FinanceBench 2016-06-06 Benchmark: Black-Scholes OpenCL ms < Lower Is Better Run 1 . 6.030 |================================================================ Run 2 . 6.037 |================================================================ Run 3 . 6.033 |================================================================ ArrayFire 3.7 Test: Conjugate Gradient OpenCL ms < Lower Is Better Run 1 . 1.676 |================================================================ Run 2 . 1.671 |================================================================ Run 3 . 1.662 |=============================================================== OpenCV 4.4 Test: Features 2D ms < Lower Is Better Run 1 . 149676 |=============================================================== Run 2 . 147838 |============================================================== Run 3 . 148206 |============================================================== OpenCV 4.4 Test: Object Detection ms < Lower Is Better Run 1 . 37391 |================================================================ Run 2 . 36473 |============================================================== Run 3 . 34895 |============================================================ OSBench Test: Memory Allocations Ns Per Event < Lower Is Better Run 1 . 65.84 |================================================================ Run 2 . 64.73 |=============================================================== Run 3 . 65.16 |=============================================================== RedShift Demo 3.0 Seconds < Lower Is Better Run 1 . 247 |================================================================== Run 2 . 248 |================================================================== Run 3 . 248 |================================================================== Rodinia 3.1 Test: OpenCL Particle Filter Seconds < Lower Is Better Run 1 . 4.485 |================================================================ Run 2 . 4.459 |================================================================ Run 3 . 4.466 |================================================================ eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Seconds < Lower Is Better Run 1 . 26.78 |================================================================ Run 2 . 26.61 |================================================================ Run 3 . 26.49 |=============================================================== Blender 2.90 Blend File: BMW27 - Compute: CUDA Seconds < Lower Is Better Run 1 . 40.73 |================================================================ Run 2 . 40.77 |================================================================ Run 3 . 40.73 |================================================================ Blender 2.90 Blend File: Classroom - Compute: CUDA Seconds < Lower Is Better Run 1 . 151.94 |=============================================================== Run 2 . 152.47 |=============================================================== Run 3 . 152.60 |=============================================================== Blender 2.90 Blend File: Fishy Cat - Compute: CUDA Seconds < Lower Is Better Run 1 . 73.15 |================================================================ Run 2 . 73.27 |================================================================ Run 3 . 73.17 |================================================================ Blender 2.90 Blend File: Barbershop - Compute: CUDA Seconds < Lower Is Better Run 1 . 538.72 |=============================================================== Run 2 . 538.60 |=============================================================== Run 3 . 538.81 |=============================================================== Blender 2.90 Blend File: BMW27 - Compute: NVIDIA OptiX Seconds < Lower Is Better Run 1 . 20.16 |================================================================ Run 2 . 20.25 |================================================================ Run 3 . 20.24 |================================================================ Blender 2.90 Blend File: Classroom - Compute: NVIDIA OptiX Seconds < Lower Is Better Run 1 . 73.37 |================================================================ Run 2 . 73.33 |================================================================ Run 3 . 73.58 |================================================================ Blender 2.90 Blend File: Fishy Cat - Compute: NVIDIA OptiX Seconds < Lower Is Better Run 1 . 33.10 |================================================================ Run 2 . 33.05 |================================================================ Run 3 . 33.05 |================================================================ Blender 2.90 Blend File: Barbershop - Compute: NVIDIA OptiX Seconds < Lower Is Better Run 1 . 896.83 |=============================================================== Run 2 . 893.03 |=============================================================== Run 3 . 893.64 |=============================================================== Blender 2.90 Blend File: Pabellon Barcelona - Compute: CUDA Seconds < Lower Is Better Run 1 . 292.14 |=============================================================== Run 2 . 292.45 |=============================================================== Run 3 . 292.50 |=============================================================== Blender 2.90 Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX Seconds < Lower Is Better Run 1 . 103.93 |=============================================================== Run 2 . 104.28 |=============================================================== Run 3 . 104.43 |=============================================================== OSBench Test: Create Files us Per Event < Lower Is Better Run 1 . 11.19 |================================================================ Run 2 . 10.59 |============================================================= Run 3 . 10.79 |============================================================== OSBench Test: Create Threads us Per Event < Lower Is Better Run 1 . 13.89 |=============================================================== Run 2 . 13.91 |=============================================================== Run 3 . 14.07 |================================================================ OSBench Test: Launch Programs us Per Event < Lower Is Better Run 1 . 37.23 |=============================================================== Run 2 . 37.08 |=============================================================== Run 3 . 37.70 |================================================================ OSBench Test: Create Processes us Per Event < Lower Is Better Run 1 . 28.95 |================================================================ Run 2 . 28.05 |============================================================== Run 3 . 28.19 |==============================================================