AMD Ryzen 7 7800X3D Linux

Tests for a future article. AMD Ryzen 7 7800X3D 8-Core testing with a ASUS ROG CROSSHAIR X670E HERO (9927 BIOS) and AMD Radeon RX 7900 XTX on Ubuntu 23.04 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 2304054-PTS-AMDRYZEN15
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Timed Code Compilation 3 Tests
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CPU Massive 10 Tests
Creator Workloads 4 Tests
Database Test Suite 2 Tests
Game Development 3 Tests
HPC - High Performance Computing 9 Tests
Linear Algebra 2 Tests
Machine Learning 3 Tests
Molecular Dynamics 3 Tests
MPI Benchmarks 2 Tests
Multi-Core 9 Tests
OpenMPI Tests 5 Tests
Programmer / Developer System Benchmarks 5 Tests
Python Tests 4 Tests
Scientific Computing 5 Tests
Server 4 Tests
Server CPU Tests 6 Tests

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April 05 2023
  3 Hours, 22 Minutes
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April 05 2023
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AMD Ryzen 7 7800X3D Linux Tests for a future article. AMD Ryzen 7 7800X3D 8-Core testing with a ASUS ROG CROSSHAIR X670E HERO (9927 BIOS) and AMD Radeon RX 7900 XTX on Ubuntu 23.04 via the Phoronix Test Suite. ,,"a","b" Processor,,AMD Ryzen 7 7800X3D 8-Core @ 4.20GHz (8 Cores / 16 Threads),AMD Ryzen 7 7800X3D 8-Core @ 4.20GHz (8 Cores / 16 Threads) Motherboard,,ASUS ROG CROSSHAIR X670E HERO (9927 BIOS),ASUS ROG CROSSHAIR X670E HERO (9927 BIOS) Chipset,,AMD Device 14d8,AMD Device 14d8 Memory,,32GB,32GB Disk,,Western Digital WD_BLACK SN850X 1000GB,Western Digital WD_BLACK SN850X 1000GB Graphics,,AMD Radeon RX 7900 XTX (2304/1249MHz),AMD Radeon RX 7900 XTX (2304/1249MHz) Audio,,AMD Device ab30,AMD Device ab30 Monitor,,ASUS MG28U,ASUS MG28U Network,,Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411,Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411 OS,,Ubuntu 23.04,Ubuntu 23.04 Kernel,,6.2.8-060208-generic (x86_64),6.2.8-060208-generic (x86_64) Desktop,,GNOME Shell 44.0,GNOME Shell 44.0 Display Server,,X Server 1.21.1.7 + Wayland,X Server 1.21.1.7 + Wayland OpenGL,,4.6 Mesa 23.1.0-devel (git-de8b14f 2023-03-24 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49),4.6 Mesa 23.1.0-devel (git-de8b14f 2023-03-24 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49) OpenCL,,OpenCL 2.1 AMD-APP (3513.0),OpenCL 2.1 AMD-APP (3513.0) Compiler,,GCC 12.2.0,GCC 12.2.0 File-System,,ext4,ext4 Screen Resolution,,3840x2160,3840x2160 ,,"a","b" "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,112513,113370 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,87240,86914 "ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,6.112455,6.373565 "Algebraic Multi-Grid Benchmark - (Figure Of Merit)",HIB,406211800,406014500 "Apache HTTP Server - Concurrent Requests: 100 (Reqs/sec)",HIB,179311.78,181582.13 "Apache HTTP Server - Concurrent Requests: 200 (Reqs/sec)",HIB,193855.44,189635.84 "Apache HTTP Server - Concurrent Requests: 500 (Reqs/sec)",HIB,185789.3,183386.87 "Apache HTTP Server - Concurrent Requests: 1000 (Reqs/sec)",HIB,182530.28,183626.22 "ASKAP - Test: tConvolve MT - Gridding (Million Grid Points/sec)",HIB,1914.65,1861.93 "ASKAP - Test: tConvolve MT - Degridding (Million Grid Points/sec)",HIB,2252.83,2159.2 "ASKAP - Test: tConvolve MPI - Degridding (Mpix/sec)",HIB,8464.38,8199.86 "ASKAP - Test: tConvolve MPI - Gridding (Mpix/sec)",HIB,10495.8,10933.2 "ASKAP - Test: tConvolve OpenCL (Million Grid Points/sec)",HIB,, "ASKAP - Test: tConvolve OpenMP - Gridding (Million Grid Points/sec)",HIB,8068.36,7607.31 "ASKAP - Test: tConvolve OpenMP - Degridding (Million Grid Points/sec)",HIB,9861.33,9861.33 "ASKAP - Test: Hogbom Clean OpenMP (Iterations/sec)",HIB,735.294,735.294 "ASTC Encoder - Preset: Fast (MT/s)",HIB,181.0022,181.1977 "ASTC Encoder - Preset: Medium (MT/s)",HIB,63.3194,63.2296 "ASTC Encoder - Preset: Thorough (MT/s)",HIB,7.822,7.8537 "ASTC Encoder - Preset: Exhaustive (MT/s)",HIB,0.8299,0.8305 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,104.47,104.5 "Build2 - Time To Compile (sec)",LIB,119.412,119.155 "ClickHouse - 100M Rows Hits Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,247.77,247.75 "ClickHouse - 100M Rows Hits Dataset, Second Run (Queries/min, Geo Mean)",HIB,274.60,270.69 "ClickHouse - 100M Rows Hits Dataset, Third Run (Queries/min, Geo Mean)",HIB,278.90,273.75 "CloverLeaf - Lagrangian-Eulerian Hydrodynamics (sec)",LIB,39.39,39.15 "GNU Radio - Test: Five Back to Back FIR Filters (MiB/s)",HIB,1821.2,1715.3 "GNU Radio - Test: Signal Source (Cosine) (MiB/s)",HIB,5454.6,5472.7 "GNU Radio - Test: FIR Filter (MiB/s)",HIB,1391.1,1398.4 "GNU Radio - Test: IIR Filter (MiB/s)",HIB,500.9,506.6 "GNU Radio - Test: FM Deemphasis Filter (MiB/s)",HIB,1113.8,1141.3 "GNU Radio - Test: Hilbert Transform (MiB/s)",HIB,704.4,702.9 "Memcached - Set To Get Ratio: 1:5 (Ops/sec)",HIB,3272684.62,3250299.72 "Memcached - Set To Get Ratio: 1:10 (Ops/sec)",HIB,2921694.2,2902278.7 "Memcached - Set To Get Ratio: 1:100 (Ops/sec)",HIB,2841542.11,2829008.81 "nginx - Connections: 100 (Reqs/sec)",HIB,97810.4,97914.05 "nginx - Connections: 200 (Reqs/sec)",HIB,98163.47,98262.15 "nginx - Connections: 500 (Reqs/sec)",HIB,96954.32,96692.89 "nginx - Connections: 1000 (Reqs/sec)",HIB,93560.28,93822.98 "Numenta Anomaly Benchmark - Detector: KNN CAD (sec)",LIB,152.925,152.884 "Numenta Anomaly Benchmark - Detector: Relative Entropy (sec)",LIB,9.848,9.948 "Numenta Anomaly Benchmark - Detector: Windowed Gaussian (sec)",LIB,5.654,5.599 "Numenta Anomaly Benchmark - Detector: Earthgecko Skyline (sec)",LIB,61.734,62.237 "Numenta Anomaly Benchmark - Detector: Bayesian Changepoint (sec)",LIB,17.331,17.196 "Numenta Anomaly Benchmark - Detector: Contextual Anomaly Detector OSE (sec)",LIB,25.456,25.286 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,3.33782,3.34819 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,3.09967,3.09914 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.620111,0.619937 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.365467,0.367087 "oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1.25071,1.25253 "oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1.21056,1.20831 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,5.16302,5.14851 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,5.51978,5.32498 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,4.1026,4.10323 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4.74584,4.71913 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.830924,0.830898 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.01001,1.00696 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,2226.82,2226.86 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,1121,1121.34 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2227.52,2229.02 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2.04864,2.04844 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,7.66355,7.71613 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2.47403,2.47255 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1122.76,1122.58 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2227.01,2227.67 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1121.9,1123.68 "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Mesh Time (sec)",LIB,27.199787,29.932709 "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Execution Time (sec)",LIB,169.69825,170.15311 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Mesh Time (sec)",LIB,222.26157,223.41288 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Execution Time (sec)",LIB,2121.7484,2118.7619 "Pennant - Test: sedovbig (Hydro Cycle Time - sec)",LIB,42.31317,42.33833 "Pennant - Test: leblancbig (Hydro Cycle Time - sec)",LIB,27.25888,27.24618 "Renaissance - Test: Scala Dotty (ms)",LIB,439.9,436.6 "Renaissance - Test: Random Forest (ms)",LIB,402.3,400.5 "Renaissance - Test: ALS Movie Lens (ms)",LIB,5903.6,5716.0 "Renaissance - Test: Apache Spark ALS (ms)",LIB,1931.2,1941.4 "Renaissance - Test: Apache Spark Bayes (ms)",LIB,900.0,873.8 "Renaissance - Test: Savina Reactors.IO (ms)",LIB,3153.6,3128.9 "Renaissance - Test: Apache Spark PageRank (ms)",LIB,1787.6,1807.0 "Renaissance - Test: Finagle HTTP Requests (ms)",LIB,1879.6,1843.8 "Renaissance - Test: In-Memory Database Shootout (ms)",LIB,, "Renaissance - Test: Akka Unbalanced Cobwebbed Tree (ms)",LIB,5680.7,5860.4 "Renaissance - Test: Genetic Algorithm Using Jenetics + Futures (ms)",LIB,953.8,942.4 "TensorFlow - Device: CPU - Batch Size: 32 - Model: AlexNet (images/sec)",HIB,177.73,177.84 "TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,209.51,209.54 "TensorFlow - Device: CPU - Batch Size: 32 - Model: GoogLeNet (images/sec)",HIB,101.24,101.27 "TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,33.57,33.66 "TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec)",HIB,96.41,96.61 "TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,32.74,32.78 "Timed Godot Game Engine Compilation - Time To Compile (sec)",LIB,300.001,298.68 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,80.728,80.833 "Xmrig - Variant: Monero - Hash Count: 1M (H/s)",HIB,9490.8,9531.3 "Xmrig - Variant: Wownero - Hash Count: 1M (H/s)",HIB,10015.9,10011.1