EPYC Genoa Linux Distros

2 x AMD EPYC 9654 96-Core testing with a AMD Titanite_4G (RTI1002E BIOS) and ASPEED on Ubuntu 22.10 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 2212268-NE-EPYCGENOA71
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BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
Timed Code Compilation 3 Tests
C/C++ Compiler Tests 4 Tests
CPU Massive 12 Tests
Creator Workloads 8 Tests
Database Test Suite 5 Tests
Game Development 3 Tests
HPC - High Performance Computing 7 Tests
Java 2 Tests
Common Kernel Benchmarks 2 Tests
Machine Learning 3 Tests
Molecular Dynamics 3 Tests
MPI Benchmarks 2 Tests
Multi-Core 17 Tests
NVIDIA GPU Compute 2 Tests
Intel oneAPI 6 Tests
OpenMPI Tests 3 Tests
Programmer / Developer System Benchmarks 5 Tests
Python 3 Tests
Renderers 2 Tests
Scientific Computing 4 Tests
Server 6 Tests
Server CPU Tests 12 Tests
Single-Threaded 2 Tests

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Ubuntu 22.10
December 24 2022
  19 Hours, 14 Minutes
Ubuntu 22.10 - perf governor
December 25 2022
  18 Hours, 59 Minutes
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  19 Hours, 6 Minutes
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EPYC Genoa Linux Distros 2 x AMD EPYC 9654 96-Core testing with a AMD Titanite_4G (RTI1002E BIOS) and ASPEED on Ubuntu 22.10 via the Phoronix Test Suite. ,,"Ubuntu 22.10","Ubuntu 22.10 - perf governor" Processor,,2 x AMD EPYC 9654 96-Core @ 3.71GHz (192 Cores / 384 Threads),2 x AMD EPYC 9654 96-Core @ 3.71GHz (192 Cores / 384 Threads) Motherboard,,AMD Titanite_4G (RTI1002E BIOS),AMD Titanite_4G (RTI1002E BIOS) Chipset,,AMD Device 14a4,AMD Device 14a4 Memory,,1520GB,1520GB Disk,,800GB INTEL SSDPF21Q800GB,800GB INTEL SSDPF21Q800GB Graphics,,ASPEED,ASPEED Monitor,,VGA HDMI,VGA HDMI Network,,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe OS,,Ubuntu 22.10,Ubuntu 22.10 Kernel,,5.19.0-26-generic (x86_64),5.19.0-26-generic (x86_64) Desktop,,GNOME Shell 43.0,GNOME Shell 43.0 Display Server,,X Server 1.21.1.4,X Server 1.21.1.4 Vulkan,,1.3.224,1.3.224 Compiler,,GCC 12.2.0 + Clang 15.0.2-1,GCC 12.2.0 + Clang 15.0.2-1 File-System,,ext4,ext4 Screen Resolution,,1920x1080,1920x1080 ,,"Ubuntu 22.10","Ubuntu 22.10 - perf governor" "WireGuard + Linux Networking Stack Stress Test - (sec)",LIB,387.539,347.024 "NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,0.12870,0.12873 "NWChem - Input: C240 Buckyball (sec)",LIB,1554.9,1519.2 "DaCapo Benchmark - Java Test: H2 (msec)",LIB,7176,4607 "DaCapo Benchmark - Java Test: Jython (msec)",LIB,3505,3276 "DaCapo Benchmark - Java Test: Tradebeans (msec)",LIB,6695,4057 "Renaissance - Test: Scala Dotty (ms)",LIB,692.9,672.4 "Renaissance - Test: Random Forest (ms)",LIB,770.0,633.0 "Renaissance - Test: ALS Movie Lens (ms)",LIB,21335.1,20209.0 "Renaissance - Test: Apache Spark ALS (ms)",LIB,4692.5,4377.2 "Renaissance - Test: Apache Spark Bayes (ms)",LIB,790.7,512.1 "Renaissance - Test: Apache Spark PageRank (ms)",LIB,3265.4,3114.3 "Renaissance - Test: Finagle HTTP Requests (ms)",LIB,12720.9,12279.8 "Renaissance - Test: In-Memory Database Shootout (ms)",LIB,6819.2,5041.2 "Renaissance - Test: Akka Unbalanced Cobwebbed Tree (ms)",LIB,32544.9,29367.3 "Renaissance - Test: Genetic Algorithm Using Jenetics + Futures (ms)",LIB,2878.0,1626.6 "Zstd Compression - Compression Level: 8 - Compression Speed (MB/s)",HIB,4220.7,4443.8 "Zstd Compression - Compression Level: 8 - Decompression Speed (MB/s)",HIB,4181.9,4170.4 "Zstd Compression - Compression Level: 19 - Compression Speed (MB/s)",HIB,86.5,93.5 "Zstd Compression - Compression Level: 19 - Decompression Speed (MB/s)",HIB,3468.8,3475.0 "Zstd Compression - Compression Level: 8, Long Mode - Compression Speed (MB/s)",HIB,676.7,1144.2 "Zstd Compression - Compression Level: 8, Long Mode - Decompression Speed (MB/s)",HIB,4460.8,4523.6 "Zstd Compression - Compression Level: 19, Long Mode - Compression Speed (MB/s)",HIB,39.7,40.1 "Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s)",HIB,3527.9,3549.0 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,182.3976,182.2662 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,211.7498,213.9157 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,66.256,93.252 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,182.030,257.963 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,164.000,261.788 "Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 (Images / Sec)",HIB,3.44,3.60 "Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 (Images / Sec)",HIB,1.65,1.69 "OpenVKL - Benchmark: vklBenchmark ISPC (Items / Sec)",HIB,1285,1337 "OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,42.8085,42.8490 "OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,42.7125,42.7806 "OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,174.316,220.691 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,43.8559,44.1759 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec)",HIB,43.0906,43.0928 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,53.9255,54.1477 "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,787085,874898 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,1137175,1175260 "Timed Gem5 Compilation - Time To Compile (sec)",LIB,140.415,137.592 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,25.557,25.165 "Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,144.342,145.102 "Timed Node.js Compilation - Time To Compile (sec)",LIB,100.060,97.649 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2187.43,2052.39 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2819.87,2452.35 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2216.45,2091.75 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2711.97,2398.86 "OpenSSL - (sign/s)",HIB,44112.2,44502.7 "OpenSSL - (verify/s)",HIB,2918571.6,2938439.5 "Apache Spark - Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark Time (sec)",LIB,14.86,10.14 "Apache Spark - Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark (sec)",LIB,9.29,9.18 "Apache Spark - Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe (sec)",LIB,4.13,3.82 "Apache Spark - Row Count: 10000000 - Partitions: 100 - Group By Test Time (sec)",LIB,13.85,10.76 "Apache Spark - Row Count: 10000000 - Partitions: 100 - Repartition Test Time (sec)",LIB,8.07,6.08 "Apache Spark - Row Count: 10000000 - Partitions: 100 - Inner Join Test Time (sec)",LIB,14.24,9.26 "Apache Spark - Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test Time (sec)",LIB,7.30,5.64 "Apache Spark - Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark Time (sec)",LIB,16.17,11.15 "Apache Spark - Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark (sec)",LIB,9.21,9.02 "Apache Spark - Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe (sec)",LIB,4.21,3.73 "CockroachDB - Workload: MoVR - Concurrency: 128 (ops/s)",HIB,610.8,948.0 "CockroachDB - Workload: MoVR - Concurrency: 512 (ops/s)",HIB,610.6,949.5 "CockroachDB - Workload: MoVR - Concurrency: 1024 (ops/s)",HIB,611.7,947.5 "CockroachDB - Workload: KV, 10% Reads - Concurrency: 128 (ops/s)",HIB,25586.5,33324.1 "CockroachDB - Workload: KV, 10% Reads - Concurrency: 512 (ops/s)",HIB,30362.3,35924.6 "CockroachDB - Workload: KV, 50% Reads - Concurrency: 128 (ops/s)",HIB,37011.3,45420.2 "CockroachDB - Workload: KV, 50% Reads - Concurrency: 512 (ops/s)",HIB,39856.8,47183.0 "CockroachDB - Workload: KV, 60% Reads - Concurrency: 128 (ops/s)",HIB,40495.9,50763.3 "CockroachDB - Workload: KV, 60% Reads - Concurrency: 512 (ops/s)",HIB,43058.3,53436.0 "CockroachDB - Workload: KV, 95% Reads - Concurrency: 128 (ops/s)",HIB,56347.2,64140.3 "CockroachDB - Workload: KV, 95% Reads - Concurrency: 512 (ops/s)",HIB,60113.4,61535.2 "CockroachDB - Workload: KV, 10% Reads - Concurrency: 1024 (ops/s)",HIB,31192.4,36217.1 "CockroachDB - Workload: KV, 50% Reads - Concurrency: 1024 (ops/s)",HIB,42428.0,46917.7 "CockroachDB - Workload: KV, 60% Reads - Concurrency: 1024 (ops/s)",HIB,45989.7,47350.5 "CockroachDB - Workload: KV, 95% Reads - Concurrency: 1024 (ops/s)",HIB,56954.6,64779.1 "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,18.576,18.756 "MariaDB - Clients: 256 (Queries/sec)",HIB,328,416 "PostgreSQL - Scaling Factor: 100 - Clients: 250 - Mode: Read Only (TPS)",HIB,2906035,2882125 "PostgreSQL - Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency (ms)",LIB,0.086,0.087 "PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Only (TPS)",HIB,3252697,3173132 "PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency (ms)",LIB,0.154,0.158 "PostgreSQL - Scaling Factor: 100 - Clients: 250 - Mode: Read Write (TPS)",HIB,14029,19361 "PostgreSQL - Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency (ms)",LIB,18.416,14.058 "PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Write (TPS)",HIB,11245,13400 "PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency (ms)",LIB,44.828,37.482 "GPAW - Input: Carbon Nanotube (sec)",LIB,23.215,23.230 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,21.13,20.99 "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,101.66,101.93 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,471.17,470.00 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,37.61,37.93 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,1266.30,1256.76 "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,37.75,37.92 "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,1262.75,1256.83 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,7384.35,7400.00 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,6.49,6.47 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,191.17,191.05 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,250.59,250.72 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,10984.86,11010.45 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,4.36,4.35 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,9845.21,9859.39 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,4.86,4.85 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,963.35,958.14 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,49.77,50.03 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,19163.47,19201.93 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,9.96,9.93 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,9052.63,9031.68 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,5.29,5.31 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,149753.69,146388.06 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,0.90,0.55 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,119916.92,122351.79 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,1.18,0.98 "Apache Cassandra - Test: Writes (Op/s)",HIB,234467,258565 "PyBench - Total For Average Test Times (Milliseconds)",LIB,862,861 "PyPerformance - Benchmark: go (Milliseconds)",LIB,182,183 "PyPerformance - Benchmark: 2to3 (Milliseconds)",LIB,262,253 "PyPerformance - Benchmark: chaos (Milliseconds)",LIB,76.7,76.8 "PyPerformance - Benchmark: float (Milliseconds)",LIB,83.7,84.2 "PyPerformance - Benchmark: nbody (Milliseconds)",LIB,113,112 "PyPerformance - Benchmark: pathlib (Milliseconds)",LIB,15.3,15.4 "PyPerformance - Benchmark: raytrace (Milliseconds)",LIB,359,361 "PyPerformance - Benchmark: json_loads (Milliseconds)",LIB,16.8,16.8 "PyPerformance - Benchmark: crypto_pyaes (Milliseconds)",LIB,87.4,88.3 "PyPerformance - Benchmark: regex_compile (Milliseconds)",LIB,117,117 "PyPerformance - Benchmark: python_startup (Milliseconds)",LIB,10.7,7.02 "PyPerformance - Benchmark: django_template (Milliseconds)",LIB,36.3,36.2 "PyPerformance - Benchmark: pickle_pure_python (Milliseconds)",LIB,330,330 "Numenta Anomaly Benchmark - Detector: KNN CAD (sec)",LIB,82.138,83.608 "Numenta Anomaly Benchmark - Detector: Relative Entropy (sec)",LIB,10.055,9.818 "Numenta Anomaly Benchmark - Detector: Windowed Gaussian (sec)",LIB,4.850,4.779 "Numenta Anomaly Benchmark - Detector: Earthgecko Skyline (sec)",LIB,66.786,66.061 "Numenta Anomaly Benchmark - Detector: Bayesian Changepoint (sec)",LIB,16.626,16.545 "Numenta Anomaly Benchmark - Detector: Contextual Anomaly Detector OSE (sec)",LIB,38.421,38.078 "PHPBench - PHP Benchmark Suite (Score)",HIB,852283,859554