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 Suite 1.0.0 System Test suite extracted from EPYC Genoa Linux Distros. system/wireguard-1.0.1 pts/namd-1.2.1 ATPase Simulation - 327,506 Atoms pts/nwchem-1.1.1 Input: C240 Buckyball pts/dacapobench-1.0.1 h2 Java Test: H2 pts/dacapobench-1.0.1 jython Java Test: Jython pts/dacapobench-1.0.1 tradebeans Java Test: Tradebeans pts/renaissance-1.3.0 dotty Test: Scala Dotty pts/renaissance-1.3.0 dec-tree Test: Random Forest pts/renaissance-1.3.0 movie-lens Test: ALS Movie Lens pts/renaissance-1.3.0 als Test: Apache Spark ALS pts/renaissance-1.3.0 naive-bayes Test: Apache Spark Bayes pts/renaissance-1.3.0 page-rank Test: Apache Spark PageRank pts/renaissance-1.3.0 finagle-http Test: Finagle HTTP Requests pts/renaissance-1.3.0 db-shootout Test: In-Memory Database Shootout pts/renaissance-1.3.0 akka-uct Test: Akka Unbalanced Cobwebbed Tree pts/renaissance-1.3.0 future-genetic Test: Genetic Algorithm Using Jenetics + Futures system/compress-zstd-1.5.0 -b8 Compression Level: 8 - Compression Speed system/compress-zstd-1.5.0 -b8 Compression Level: 8 - Decompression Speed system/compress-zstd-1.5.0 -b19 Compression Level: 19 - Compression Speed system/compress-zstd-1.5.0 -b19 Compression Level: 19 - Decompression Speed system/compress-zstd-1.5.0 -b8 --long Compression Level: 8, Long Mode - Compression Speed system/compress-zstd-1.5.0 -b8 --long Compression Level: 8, Long Mode - Decompression Speed system/compress-zstd-1.5.0 -b19 --long Compression Level: 19, Long Mode - Compression Speed system/compress-zstd-1.5.0 -b19 --long Compression Level: 19, Long Mode - Decompression Speed pts/embree-1.2.1 pathtracer_ispc -c crown/crown.ecs Binary: Pathtracer ISPC - Model: Crown pts/embree-1.2.1 pathtracer_ispc -c asian_dragon/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon pts/svt-av1-2.7.0 --preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 8 - Input: Bosphorus 4K pts/svt-av1-2.7.0 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K pts/svt-av1-2.7.0 --preset 13 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 13 - Input: Bosphorus 4K pts/oidn-1.4.0 -r RT.hdr_alb_nrm.3840x2160 Run: RT.hdr_alb_nrm.3840x2160 pts/oidn-1.4.0 -r RTLightmap.hdr.4096x4096 Run: RTLightmap.hdr.4096x4096 pts/openvkl-1.3.0 vklBenchmark --benchmark_filter=ispc Benchmark: vklBenchmark ISPC pts/ospray-2.10.0 --benchmark_filter=particle_volume/ao/real_time Benchmark: particle_volume/ao/real_time pts/ospray-2.10.0 --benchmark_filter=particle_volume/scivis/real_time Benchmark: particle_volume/scivis/real_time pts/ospray-2.10.0 --benchmark_filter=particle_volume/pathtracer/real_time Benchmark: particle_volume/pathtracer/real_time pts/ospray-2.10.0 --benchmark_filter=gravity_spheres_volume/dim_512/ao/real_time Benchmark: gravity_spheres_volume/dim_512/ao/real_time pts/ospray-2.10.0 --benchmark_filter=gravity_spheres_volume/dim_512/scivis/real_time Benchmark: gravity_spheres_volume/dim_512/scivis/real_time pts/ospray-2.10.0 --benchmark_filter=gravity_spheres_volume/dim_512/pathtracer/real_time Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time pts/compress-7zip-1.10.0 Test: Compression Rating pts/compress-7zip-1.10.0 Test: Decompression Rating pts/build-gem5-1.0.0 Time To Compile pts/build-linux-kernel-1.15.0 defconfig Build: defconfig pts/build-linux-kernel-1.15.0 allmodconfig Build: allmodconfig pts/build-nodejs-1.2.0 Time To Compile pts/onednn-3.0.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU pts/onednn-3.0.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU pts/onednn-3.0.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-3.0.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU system/openssl-1.1.2 pts/spark-1.0.0 -r 10000000 -p 100 Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark Time pts/spark-1.0.0 -r 10000000 -p 100 Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark pts/spark-1.0.0 -r 10000000 -p 100 Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.0 -r 10000000 -p 100 Row Count: 10000000 - Partitions: 100 - Group By Test Time pts/spark-1.0.0 -r 10000000 -p 100 Row Count: 10000000 - Partitions: 100 - Repartition Test Time pts/spark-1.0.0 -r 10000000 -p 100 Row Count: 10000000 - Partitions: 100 - Inner Join Test Time pts/spark-1.0.0 -r 10000000 -p 100 Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test Time pts/spark-1.0.0 -r 10000000 -p 500 Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark Time pts/spark-1.0.0 -r 10000000 -p 500 Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark pts/spark-1.0.0 -r 10000000 -p 500 Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe pts/cockroach-1.0.2 movr --concurrency 128 Workload: MoVR - Concurrency: 128 pts/cockroach-1.0.2 movr --concurrency 512 Workload: MoVR - Concurrency: 512 pts/cockroach-1.0.2 movr --concurrency 1024 Workload: MoVR - Concurrency: 1024 pts/cockroach-1.0.2 kv --ramp 10s --read-percent 10 --concurrency 128 Workload: KV, 10% Reads - Concurrency: 128 pts/cockroach-1.0.2 kv --ramp 10s --read-percent 10 --concurrency 512 Workload: KV, 10% Reads - Concurrency: 512 pts/cockroach-1.0.2 kv --ramp 10s --read-percent 50 --concurrency 128 Workload: KV, 50% Reads - Concurrency: 128 pts/cockroach-1.0.2 kv --ramp 10s --read-percent 50 --concurrency 512 Workload: KV, 50% Reads - Concurrency: 512 pts/cockroach-1.0.2 kv --ramp 10s --read-percent 60 --concurrency 128 Workload: KV, 60% Reads - Concurrency: 128 pts/cockroach-1.0.2 kv --ramp 10s --read-percent 60 --concurrency 512 Workload: KV, 60% Reads - Concurrency: 512 pts/cockroach-1.0.2 kv --ramp 10s --read-percent 95 --concurrency 128 Workload: KV, 95% Reads - Concurrency: 128 pts/cockroach-1.0.2 kv --ramp 10s --read-percent 95 --concurrency 512 Workload: KV, 95% Reads - Concurrency: 512 pts/cockroach-1.0.2 kv --ramp 10s --read-percent 10 --concurrency 1024 Workload: KV, 10% Reads - Concurrency: 1024 pts/cockroach-1.0.2 kv --ramp 10s --read-percent 50 --concurrency 1024 Workload: KV, 50% Reads - Concurrency: 1024 pts/cockroach-1.0.2 kv --ramp 10s --read-percent 60 --concurrency 1024 Workload: KV, 60% Reads - Concurrency: 1024 pts/cockroach-1.0.2 kv --ramp 10s --read-percent 95 --concurrency 1024 Workload: KV, 95% Reads - Concurrency: 1024 pts/gromacs-1.7.0 mpi-build water-cut1.0_GMX50_bare/1536 Implementation: MPI CPU - Input: water_GMX50_bare pts/mysqlslap-1.3.0 --concurrency=256 Clients: 256 pts/pgbench-1.12.0 -s 100 -c 250 -S Scaling Factor: 100 - Clients: 250 - Mode: Read Only pts/pgbench-1.12.0 -s 100 -c 250 -S Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency pts/pgbench-1.12.0 -s 100 -c 500 -S Scaling Factor: 100 - Clients: 500 - Mode: Read Only pts/pgbench-1.12.0 -s 100 -c 500 -S Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency pts/pgbench-1.12.0 -s 100 -c 250 Scaling Factor: 100 - Clients: 250 - Mode: Read Write pts/pgbench-1.12.0 -s 100 -c 250 Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency pts/pgbench-1.12.0 -s 100 -c 500 Scaling Factor: 100 - Clients: 500 - Mode: Read Write pts/pgbench-1.12.0 -s 100 -c 500 Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency pts/gpaw-1.1.0 carbon-nanotube Input: Carbon Nanotube pts/blender-3.4.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Classroom - Compute: CPU-Only pts/openvino-1.2.0 -m models/intel/face-detection-0206/FP16/face-detection-0206.xml -d CPU Model: Face Detection FP16 - Device: CPU pts/openvino-1.2.0 -m models/intel/person-detection-0106/FP16/person-detection-0106.xml -d CPU Model: Person Detection FP16 - Device: CPU pts/openvino-1.2.0 -m models/intel/person-detection-0106/FP32/person-detection-0106.xml -d CPU Model: Person Detection FP32 - Device: CPU pts/openvino-1.2.0 -m models/intel/vehicle-detection-0202/FP16/vehicle-detection-0202.xml -d CPU Model: Vehicle Detection FP16 - Device: CPU pts/openvino-1.2.0 -m models/intel/face-detection-0206/FP16-INT8/face-detection-0206.xml -d CPU Model: Face Detection FP16-INT8 - Device: CPU pts/openvino-1.2.0 -m models/intel/vehicle-detection-0202/FP16-INT8/vehicle-detection-0202.xml -d CPU Model: Vehicle Detection FP16-INT8 - Device: CPU pts/openvino-1.2.0 -m models/intel/weld-porosity-detection-0001/FP16/weld-porosity-detection-0001.xml -d CPU Model: Weld Porosity Detection FP16 - Device: CPU pts/openvino-1.2.0 -m models/intel/machine-translation-nar-en-de-0002/FP16/machine-translation-nar-en-de-0002.xml -d CPU Model: Machine Translation EN To DE FP16 - Device: CPU pts/openvino-1.2.0 -m models/intel/weld-porosity-detection-0001/FP16-INT8/weld-porosity-detection-0001.xml -d CPU Model: Weld Porosity Detection FP16-INT8 - Device: CPU pts/openvino-1.2.0 -m models/intel/person-vehicle-bike-detection-2004/FP16/person-vehicle-bike-detection-2004.xml -d CPU Model: Person Vehicle Bike Detection FP16 - Device: CPU pts/openvino-1.2.0 -m models/intel/age-gender-recognition-retail-0013/FP16/age-gender-recognition-retail-0013.xml -d CPU Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU pts/openvino-1.2.0 -m models/intel/age-gender-recognition-retail-0013/FP16-INT8/age-gender-recognition-retail-0013.xml -d CPU Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU pts/cassandra-1.1.1 WRITE Test: Writes pts/pybench-1.1.3 Total For Average Test Times pts/pyperformance-1.0.2 go Benchmark: go pts/pyperformance-1.0.2 2to3 Benchmark: 2to3 pts/pyperformance-1.0.2 chaos Benchmark: chaos pts/pyperformance-1.0.2 float Benchmark: float pts/pyperformance-1.0.2 nbody Benchmark: nbody pts/pyperformance-1.0.2 pathlib Benchmark: pathlib pts/pyperformance-1.0.2 raytrace Benchmark: raytrace pts/pyperformance-1.0.2 json_loads Benchmark: json_loads pts/pyperformance-1.0.2 crypto_pyaes Benchmark: crypto_pyaes pts/pyperformance-1.0.2 regex_compile Benchmark: regex_compile pts/pyperformance-1.0.2 python_startup Benchmark: python_startup pts/pyperformance-1.0.2 django_template Benchmark: django_template pts/pyperformance-1.0.2 pickle_pure_python Benchmark: pickle_pure_python pts/numenta-nab-1.1.1 -d knncad Detector: KNN CAD pts/numenta-nab-1.1.1 -d relativeEntropy Detector: Relative Entropy pts/numenta-nab-1.1.1 -d windowedGaussian Detector: Windowed Gaussian pts/numenta-nab-1.1.1 -d earthgeckoSkyline Detector: Earthgecko Skyline pts/numenta-nab-1.1.1 -d bayesChangePt Detector: Bayesian Changepoint pts/numenta-nab-1.1.1 -d contextOSE Detector: Contextual Anomaly Detector OSE pts/phpbench-1.1.6 PHP Benchmark Suite