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
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