AMD EPYC 7763 1P spec_rstack_overflow

Benchmarks by Michael Larabel for a future article looking at AMD Inception impact.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2308112-NE-EPYC7763124
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

Timed Code Compilation 4 Tests
C/C++ Compiler Tests 6 Tests
CPU Massive 12 Tests
Creator Workloads 6 Tests
Database Test Suite 10 Tests
Game Development 3 Tests
HPC - High Performance Computing 11 Tests
Java Tests 4 Tests
Common Kernel Benchmarks 2 Tests
Linear Algebra 2 Tests
Machine Learning 4 Tests
Molecular Dynamics 3 Tests
MPI Benchmarks 2 Tests
Multi-Core 16 Tests
NVIDIA GPU Compute 2 Tests
Intel oneAPI 4 Tests
OpenMPI Tests 7 Tests
Programmer / Developer System Benchmarks 6 Tests
Python Tests 8 Tests
Renderers 2 Tests
Scientific Computing 6 Tests
Server 11 Tests
Server CPU Tests 8 Tests
Single-Threaded 2 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
off
August 10 2023
  9 Hours, 10 Minutes
safe RET no microcode
August 09 2023
  9 Hours, 26 Minutes
safe RET
August 10 2023
  9 Hours, 17 Minutes
IBPB
August 10 2023
  8 Hours, 38 Minutes
Invert Hiding All Results Option
  9 Hours, 8 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


AMD EPYC 7763 1P spec_rstack_overflow Benchmarks by Michael Larabel for a future article looking at AMD Inception impact. ,,"safe RET no microcode","off","safe RET","IBPB" Processor,,AMD EPYC 7763 64-Core @ 2.45GHz (64 Cores / 128 Threads),AMD EPYC 7763 64-Core @ 2.45GHz (64 Cores / 128 Threads),AMD EPYC 7763 64-Core @ 2.45GHz (64 Cores / 128 Threads),AMD EPYC 7763 64-Core @ 2.45GHz (64 Cores / 128 Threads) Motherboard,,AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS) Chipset,,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse Memory,,256GB,256GB,256GB,256GB Disk,,800GB INTEL SSDPF21Q800GB,800GB INTEL SSDPF21Q800GB,800GB INTEL SSDPF21Q800GB,800GB INTEL SSDPF21Q800GB Graphics,,ASPEED,ASPEED,ASPEED,ASPEED Monitor,,VE228,VE228,VE228,VE228 Network,,2 x Mellanox MT27710,2 x Mellanox MT27710,2 x Mellanox MT27710,2 x Mellanox MT27710 OS,,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04 Kernel,,6.5.0-rc5-phx-tues (x86_64),6.5.0-rc5-phx-tues (x86_64),6.5.0-rc5-phx-tues (x86_64),6.5.0-rc5-phx-tues (x86_64) Desktop,,GNOME Shell 42.5,GNOME Shell 42.5,GNOME Shell 42.5,GNOME Shell 42.5 Display Server,,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3 Vulkan,,1.3.224,1.3.224,1.3.224,1.3.224 Compiler,,GCC 11.3.0 + LLVM 14.0.0,GCC 11.3.0 + LLVM 14.0.0,GCC 11.3.0 + LLVM 14.0.0,GCC 11.3.0 + LLVM 14.0.0 File-System,,ext4,ext4,ext4,ext4 Screen Resolution,,1920x1080,1920x1080,1920x1080,1920x1080 ,,"safe RET no microcode","off","safe RET","IBPB" "MariaDB - Clients: 4096 (Queries/sec)",HIB,412,590,418,274 "PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Only (TPS)",HIB,2707280,3128719,2768445,1733827 "PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency (ms)",LIB,0.296,0.256,0.289,0.461 "RocksDB - Test: Update Random (Op/s)",HIB,428112,462287,426947,322231 "SQLite - Threads / Copies: 16 (sec)",LIB,8.834,6.273,8.800,7.934 "RocksDB - Test: Read Random Write Random (Op/s)",HIB,2872765,2951684,2839085,2130006 "SQLite - Threads / Copies: 8 (sec)",LIB,4.850,3.755,5.006,4.793 "DaCapo Benchmark - Java Test: Tradebeans (msec)",LIB,4096,3993,4143,5305 "OpenRadioss - Model: Bumper Beam (sec)",LIB,93.68,87.72,93.90,113.68 "MariaDB - Clients: 8192 (Queries/sec)",HIB,301,355,301,276 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,37.623,31.192,37.243,40.085 "Apache Spark - Row Count: 1000000 - Partitions: 100 - Inner Join Test Time (sec)",LIB,2.22,1.88,2.14,2.41 "OpenRadioss - Model: Rubber O-Ring Seal Installation (sec)",LIB,85.04,77.46,84.48,99.04 "Apache Spark - Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time (sec)",LIB,1.39,1.30,1.41,1.64 "nginx - Connections: 500 (Reqs/sec)",HIB,144020.03,169583.15,142619.84,137051.69 "nginx - Connections: 1000 (Reqs/sec)",HIB,140555.98,166499.89,143271.26,135431.46 "PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Write (TPS)",HIB,55175,61604,54837,50463 "PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency (ms)",LIB,14.499,12.988,14.589,15.854 "Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,344.242,289.063,338.157,352.178 "OpenRadioss - Model: Cell Phone Drop Test (sec)",LIB,36.37,33.10,36.40,40.11 "Timed Node.js Compilation - Time To Compile (sec)",LIB,172.749,164.268,173.064,195.493 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200 (Latency)",LIB,13.61,14.05,13.36,11.93 "Numpy Benchmark - (Score)",HIB,418.95,457.23,422.58,389.92 "Apache Spark - Row Count: 1000000 - Partitions: 100 - Group By Test Time (sec)",LIB,5.17,4.91,5.15,5.74 "Timed LLVM Compilation - Build System: Ninja (sec)",LIB,182.169,176.374,181.528,204.080 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500 (Latency)",LIB,31.93,31.49,27.73,31.11 "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,334812,384374,335595,371799 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200 (point/sec)",HIB,1202637.36,1176385.35,1211172.13,1344749.20 "TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,15.56,17.78,15.65,17.45 "CockroachDB - Workload: KV, 95% Reads - Concurrency: 128 (ops/s)",HIB,131487.0,135187.2,132046.0,119163.8 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500 (point/sec)",HIB,1408658.83,1415756.33,1583717.62,1441637.63 "Timed Godot Game Engine Compilation - Time To Compile (sec)",LIB,125.663,121.948,125.060,135.962 "OpenRadioss - Model: Bird Strike on Windshield (sec)",LIB,152.91,144.83,152.27,160.70 "ClickHouse - 100M Rows Hits Dataset, Third Run (Queries/min, Geo Mean)",HIB,329.19,362.64,337.45,349.50 "ClickHouse - 100M Rows Hits Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,323.42,349.43,318.12,336.69 "Apache Spark - Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time (sec)",LIB,3.42,3.39,3.47,3.71 "CockroachDB - Workload: KV, 50% Reads - Concurrency: 128 (ops/s)",HIB,100851.4,103635.0,99601.6,95416.0 "Apache Cassandra - Test: Writes (Op/s)",HIB,233069,238741,236241,220814 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 (Latency)",LIB,38.54,36.58,35.82,36.56 "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 (Latency)",LIB,35.10,37.70,37.53,36.47 "Remhos - Test: Sample Remap Example (sec)",LIB,17.788,17.375,17.958,18.658 "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 (Latency)",LIB,30.29,32.36,30.14,31.74 "ClickHouse - 100M Rows Hits Dataset, Second Run (Queries/min, Geo Mean)",HIB,337.01,361.81,337.12,347.92 "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 (Latency)",LIB,14.05,13.83,14.73,14.78 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 (point/sec)",HIB,47445770.18,49501499.13,50578426.54,49316970.28 "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 (point/sec)",HIB,46538766.01,43665846.28,44027904.89,44816394.74 "DaCapo Benchmark - Java Test: Jython (msec)",LIB,4191,4193,4241,4446 "Redis 7.0.12 + memtier_benchmark - Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5 (Ops/sec)",HIB,2218601.79,2204628.92,2145436.26,2092844.22 "Timed MrBayes Analysis - Primate Phylogeny Analysis (sec)",LIB,137.518,136.686,138.851,144.829 "OpenRadioss - Model: INIVOL and Fluid Structure Interaction Drop Container (sec)",LIB,163.02,162.13,163.97,171.75 "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 (point/sec)",HIB,1342031.11,1271946.57,1345598.59,1287324.35 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Mesh Time (sec)",LIB,145.06069,140.61562,144.02174,148.25442 "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 (Latency)",LIB,123.61,117.97,120.06,120.53 "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 (point/sec)",HIB,37720117.40,39463981.42,38833415.97,38572529.56 "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 (point/sec)",HIB,947741.34,960525.66,918691.45,921701.44 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 (Latency)",LIB,79.19,78.92,82.24,80.78 "ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,24.695818,24.200551,23.702889,24.251474 "Redis 7.0.12 + memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 (Ops/sec)",HIB,2167181.09,2197287.30,2145052.14,2126493.29 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,7.58,7.68,7.60,7.46 "OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,155.165,157.829,156.419,153.439 "SPECFEM3D - Model: Water-layered Halfspace (sec)",LIB,30.427531709,29.772535386,29.590868260,30.053834808 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 (point/sec)",HIB,58073516.79,58682618.18,57099408.15,57529201.42 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,4124.74,4092.91,4114.58,4204.34 "Redis 7.0.12 + memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,2154339.26,2195705.51,2157815.69,2148876.03 "SPECFEM3D - Model: Tomographic Model (sec)",LIB,14.404419238,14.134265606,14.188058962,14.225825227 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,64.3916,64.5964,64.6742,63.4668 "Apache Spark - Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark (sec)",LIB,32.02,31.84,31.43,31.49 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Execution Time (sec)",LIB,644.36223,633.51902,643.71316,645.40958 "Redis 7.0.12 + memtier_benchmark - Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,2173694.77,2177211.80,2172804.71,2137964.98 "SPECFEM3D - Model: Mount St. Helens (sec)",LIB,11.982163460,11.801238732,12.010380781,11.951448577 "SPECFEM3D - Model: Homogeneous Halfspace (sec)",LIB,17.643680397,17.417120933,17.690298650,17.695914319 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,27.58,27.34,27.46,27.73 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,84.69,84.50,84.49,85.63 "Algebraic Multi-Grid Benchmark - (Figure Of Merit)",HIB,999645400,1011799000,999102100,1005138667 "NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,0.38115,0.38130,0.38098,0.38534 "SPECFEM3D - Model: Layered Halfspace (sec)",LIB,31.829261870,31.845630424,31.659940885,32.009762142 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,13.2621,13.1355,13.2538,13.1709 "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,5.730,5.680,5.706,5.707 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec)",HIB,8.32749,8.33174,8.33813,8.26549 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,1126.64,1126.03,1126.14,1116.89 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,8.96941,8.96051,8.94049,8.89239 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,28.38,28.40,28.39,28.62 "OpenVKL - Benchmark: vklBenchmark ISPC (Items / Sec)",HIB,452,453,453,450 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,383039,385585,383515,385487 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,8.3612,8.3078,8.3219,8.3411 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,3816.7676,3840.6307,3834.2439,3824.8431 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,65.8910,65.5911,65.5662,65.7767 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,485.0069,487.2450,487.3677,485.6842 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,679.5766,678.9330,682.2071,681.3961 "OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,17.7305,17.7511,17.7305,17.6743 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,27.79,27.83,27.82,27.71 "OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,18.0288,18.0226,17.9817,17.9663 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,46.7239,46.7020,46.5677,46.6121 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,468.3646,468.8306,468.2170,467.3150 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,1142.29,1141.43,1142.53,1144.98 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,68.2595,68.1483,68.2325,68.3456 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,37.6987,37.6037,37.6319,37.6818 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,55.3747,55.3922,55.4028,55.5026 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,577.0589,576.9722,576.8166,575.7335 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,57.2956,57.4229,57.3138,57.2967 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,840.7721,839.7201,840.4236,840.8881 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,53.5972,53.5968,53.5729,53.5782 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,596.5579,596.5915,596.7822,596.7902 "Apache Spark - Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe (sec)",LIB,,,,2.60 "Apache Spark - Row Count: 1000000 - Partitions: 100 - Repartition Test Time (sec)",LIB,2.38,2.09,2.26,2.31