Microsoft Azure HBv4 HPC Performance Benchmarks

Benchmarks for a future article on Phoronix looking at HBv4 Genoa-X Linux performance..

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2308011-PTS-AZUREHBV71
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:

C/C++ Compiler Tests 2 Tests
CPU Massive 7 Tests
Creator Workloads 4 Tests
Fortran Tests 4 Tests
Game Development 2 Tests
HPC - High Performance Computing 6 Tests
Molecular Dynamics 2 Tests
MPI Benchmarks 3 Tests
Multi-Core 12 Tests
Intel oneAPI 3 Tests
OpenMPI Tests 5 Tests
Programmer / Developer System Benchmarks 2 Tests
Python Tests 2 Tests
Renderers 2 Tests
Scientific Computing 3 Tests
Server CPU Tests 5 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

Additional Graphs

Show Perf Per Core/Thread Calculation Graphs Where Applicable

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
Performance Per
Dollar
Date
Run
  Test
  Duration
HC
July 27 2023
  5 Hours, 11 Minutes
HBv2
July 27 2023
  7 Hours, 22 Minutes
HBv3
July 27 2023
  6 Hours, 40 Minutes
HBv4
July 26 2023
  6 Hours, 44 Minutes
Invert Hiding All Results Option
  6 Hours, 29 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):


Microsoft Azure HBv4 HPC Performance Benchmarks Benchmarks for a future article on Phoronix looking at HBv4 Genoa-X Linux performance.. ,,"HBv4","HBv3","HBv2","HC" Processor,,2 x AMD EPYC 9V33X 96-Core (176 Cores),2 x AMD EPYC 7V73X 64-Core (120 Cores),2 x AMD EPYC 7V12 64-Core (120 Cores),2 x Intel Xeon Platinum 8168 (44 Cores) Motherboard,,Microsoft Virtual Machine (Hyper-V UEFI v4.1 BIOS),Microsoft Virtual Machine (Hyper-V UEFI v4.1 BIOS),Microsoft Virtual Machine (Hyper-V UEFI v4.1 BIOS),Microsoft Virtual Machine (Hyper-V UEFI v4.1 BIOS) Memory,,1 GB + 59 GB + 116 GB + 176 GB + 176 GB + 176 GB,1 GB + 59 GB + 54 GB + 114 GB + 114 GB + 114 GB,1 GB + 59 GB + 54 GB + 114 GB + 114 GB + 114 GB,1 GB + 60928 MB + 118272 MB + 176 GB Disk,,2 x 1920GB Microsoft NVMe Direct Disk + 32GB Virtual Disk + 515GB Virtual Disk,2 x 960GB Microsoft NVMe Direct Disk + 32GB Virtual Disk + 515GB Virtual Disk,960GB Microsoft NVMe Direct Disk + 32GB Virtual Disk + 515GB Virtual Disk,32GB Virtual Disk + 752GB Virtual Disk Graphics,,hyperv_fb,hyperv_fb,hyperv_fb,hyperv_fb OS,,AlmaLinux 8.8,AlmaLinux 8.8,AlmaLinux 8.8,AlmaLinux 8.8 Kernel,,4.18.0-425.3.1.el8.x86_64 (x86_64),4.18.0-425.3.1.el8.x86_64 (x86_64),4.18.0-425.3.1.el8.x86_64 (x86_64),4.18.0-425.3.1.el8.x86_64 (x86_64) Compiler,,GCC 13.1.0 + CUDA 12.1,GCC 13.1.0 + CUDA 12.1,GCC 13.1.0 + CUDA 12.1,GCC 13.1.0 + CUDA 12.1 File-System,,nfs,nfs,nfs,nfs Screen Resolution,,1024x768,1024x768,1024x768,1024x768 System Layer,,microsoft,microsoft,microsoft,microsoft ,,"HBv4","HBv3","HBv2","HC" "NAS Parallel Benchmarks - Test / Class: BT.C (Mop/s)",HIB,744413.90,313813.98,241509.88,106230.52 "Pennant - Test: sedovbig (Hydro Cycle Time - sec)",LIB,3.581391,6.277107,5.915805,25.01956 "NAS Parallel Benchmarks - Test / Class: MG.C (Mop/s)",HIB,437417.16,131635.41,108985.72,63404.01 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 512 (GFLOP/s)",HIB,355.512,135.950,96.4941,62.9027 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512 (GFLOP/s)",HIB,355.855,135.694,95.8801,62.9750 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: float - X Y Z: 512 (GFLOP/s)",HIB,323.356,123.242,93.7923,57.7643 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 512 (GFLOP/s)",HIB,323.696,124.595,93.2573,57.9203 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 512 (GFLOP/s)",HIB,624.951,257.419,191.141,113.940 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512 (GFLOP/s)",HIB,622.580,254.252,191.775,114.025 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: float - X Y Z: 512 (GFLOP/s)",HIB,596.226,232.166,190.949,110.049 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,25.61,50.71,50.95,138.51 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,97.52,188.96,211.46,526.93 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 512 (GFLOP/s)",HIB,590.925,233.797,189.208,110.197 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,33.01,62.90,64.84,175.07 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,13.74,25.59,26.43,71.76 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: double - X Y Z: 512 (GFLOP/s)",HIB,311.803,117.731,94.5301,59.8216 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 512 (GFLOP/s)",HIB,311.267,118.236,95.1989,59.8954 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 512 (GFLOP/s)",HIB,315.982,120.957,91.4296,60.8204 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512 (GFLOP/s)",HIB,314.336,121.283,91.4802,60.8804 "Pennant - Test: leblancbig (Hydro Cycle Time - sec)",LIB,2.122074,3.649317,3.466885,10.64548 "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,1083523,566595,501534,216451 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,10.11,19.43,19.58,49.95 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,742859,406516,388577,150841 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: double - X Y Z: 512 (GFLOP/s)",HIB,154.648,56.2161,46.9794,31.5718 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 512 (GFLOP/s)",HIB,154.568,56.2690,46.9289,31.5846 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 256 (GFLOP/s)",HIB,273.121,106.632,88.6081,57.1290 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512 (GFLOP/s)",HIB,159.175,57.3307,47.6050,33.5193 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 512 (GFLOP/s)",HIB,159.258,57.2263,47.3696,33.5545 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256 (GFLOP/s)",HIB,256.349,103.5147,91.5383,58.3567 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: double - X Y Z: 256 (GFLOP/s)",HIB,264.954,102.7046,93.3137,60.5727 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 256 (GFLOP/s)",HIB,255.968,105.093,90.7883,58.5498 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 256 (GFLOP/s)",HIB,258.716,105.5003,92.3883,60.8872 "Liquid-DSP - Threads: 176 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,7095033333,4281533333,4350100000,1683033333 "NAS Parallel Benchmarks - Test / Class: FT.C (Mop/s)",HIB,230164.79,102122.36,98485.23,55288.19 "OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,36.5446,24.2197,22.1747,8.87831 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: float - X Y Z: 256 (GFLOP/s)",HIB,244.342,103.409,91.2601,59.7292 "Liquid-DSP - Threads: 176 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,2221966667,814950000,924243333,544626667 "OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,36.6548,24.4710,22.3668,8.99618 "Liquid-DSP - Threads: 176 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,6181766667,3864000000,4275533333,1536633333 "NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,0.14380,0.27111,0.26505,0.52697 "Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,5412900000,4216966667,4309133333,1570633333 "High Performance Conjugate Gradient - X Y Z: 160 160 160 - RT: 60 (GFLOP/s)",HIB,87.9013,39.1106,36.0167,25.5635 "High Performance Conjugate Gradient - X Y Z: 104 104 104 - RT: 60 (GFLOP/s)",HIB,89.3840,39.6093,37.0410,25.9971 "High Performance Conjugate Gradient - X Y Z: 144 144 144 - RT: 60 (GFLOP/s)",HIB,88.5160,38.9739,36.0866,25.8659 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,32.5839,14.6088,13.9416,10.0611 "PostgreSQL - Scaling Factor: 1 - Clients: 800 - Mode: Read Only - Average Latency (ms)",LIB,0.254,0.323,0.323,0.690 "PostgreSQL - Scaling Factor: 1 - Clients: 800 - Mode: Read Only (TPS)",HIB,3146173,2478917,2481320,1159492 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,533.494,886.810,1367.73,707.322 "PostgreSQL - Scaling Factor: 1 - Clients: 500 - Mode: Read Only (TPS)",HIB,3161848,2434749,2467328,1353510 "PostgreSQL - Scaling Factor: 1 - Clients: 500 - Mode: Read Only - Average Latency (ms)",LIB,0.158,0.206,0.203,0.369 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,411.234,529.973,910.937,442.471 "Timed Node.js Compilation - Time To Compile (sec)",LIB,150.558,185.567,194.367,330.613 "libxsmm - M N K: 64 (GFLOPS/s)",HIB,5898.2,2413.7,331.4,748.1 "NAS Parallel Benchmarks - Test / Class: SP.C (Mop/s)",HIB,427298.99,205795.59,104771.90,41543.94 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,3.08,1.69,2.01,1.85 "Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,3.11,1.72,2.03,1.85 "Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,1.32,0.80,0.96,0.87 "Laghos - Test: Sedov Blast Wave, ube_922_hex.mesh (Major Kernels Rate)",HIB,402.94,361.81,345.14,247.49 "Laghos - Test: Triple Point Problem (Major Kernels Rate)",HIB,228.15,192.74,183.82,156.52 "PETSc - Test: Streams (MB/s)",HIB,598417.6957,284001.9162,197895.4717,151286.2491 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec)",HIB,37.0624,11.1723,8.32323,9.02689 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,38.0769,11.7501,8.66888,9.52293 "OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,208.050,167.504,162.449,96.7630 "ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,52.802440,25.048352,6.395415,14.072027 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 256 (GFLOP/s)",HIB,247.725,105.361,92.1290,59.5527 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 256 (GFLOP/s)",HIB,427.101,221.861,200.035,122.772 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256 (GFLOP/s)",HIB,261.903,103.2457,91.9186,57.3101 "libxsmm - M N K: 32 (GFLOPS/s)",HIB,6163.0,1438.1,164.8,384.9 "libxsmm - M N K: 256 (GFLOPS/s)",HIB,6908.6,2045.7,1128.3,904.1 "libxsmm - M N K: 128 (GFLOPS/s)",HIB,6655.2,2273.5,1011.4,1284.8 "NAS Parallel Benchmarks - Test / Class: IS.D (Mop/s)",HIB,12967.37,5730.01,3977.02,1864.68 "NAS Parallel Benchmarks - Test / Class: CG.C (Mop/s)",HIB,74101.94,36681.43,36367.35,27619.05