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
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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

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Identifier
Performance Per
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Date
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  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
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  6 Hours, 29 Minutes

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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" "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,1083523,566595,501534,216451 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,742859,406516,388577,150841 "ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,52.802440,25.048352,6.395415,14.072027 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,10.11,19.43,19.58,49.95 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,25.61,50.71,50.95,138.51 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,13.74,25.59,26.43,71.76 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,97.52,188.96,211.46,526.93 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,33.01,62.90,64.84,175.07 "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: 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: 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: 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: Stock - Precision: float - X Y Z: 256 (GFLOP/s)",HIB,244.342,103.409,91.2601,59.7292 "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: r2c - Backend: FFTW - Precision: double - X Y Z: 256 (GFLOP/s)",HIB,261.903,103.2457,91.9186,57.3101 "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 "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 "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: 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: 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: 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: 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: 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: float-long - X Y Z: 512 (GFLOP/s)",HIB,624.951,257.419,191.141,113.940 "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: 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: 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: double-long - X Y Z: 256 (GFLOP/s)",HIB,273.121,106.632,88.6081,57.1290 "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: Stock - Precision: float-long - X Y Z: 512 (GFLOP/s)",HIB,590.925,233.797,189.208,110.197 "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: Stock - Precision: double-long - X Y Z: 256 (GFLOP/s)",HIB,258.716,105.5003,92.3883,60.8872 "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 "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 "High Performance Conjugate Gradient - X Y Z: 160 160 160 - RT: 60 (GFLOP/s)",HIB,87.9013,39.1106,36.0167,25.5635 "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: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,3.08,1.69,2.01,1.85 "Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,1.32,0.80,0.96,0.87 "Laghos - Test: Triple Point Problem (Major Kernels Rate)",HIB,228.15,192.74,183.82,156.52 "Laghos - Test: Sedov Blast Wave, ube_922_hex.mesh (Major Kernels Rate)",HIB,402.94,361.81,345.14,247.49 "libxsmm - M N K: 128 (GFLOPS/s)",HIB,6655.2,2273.5,1011.4,1284.8 "libxsmm - M N K: 256 (GFLOPS/s)",HIB,6908.6,2045.7,1128.3,904.1 "libxsmm - M N K: 32 (GFLOPS/s)",HIB,6163.0,1438.1,164.8,384.9 "libxsmm - M N K: 64 (GFLOPS/s)",HIB,5898.2,2413.7,331.4,748.1 "Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,5412900000,4216966667,4309133333,1570633333 "Liquid-DSP - Threads: 176 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,6181766667,3864000000,4275533333,1536633333 "Liquid-DSP - Threads: 176 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,7095033333,4281533333,4350100000,1683033333 "Liquid-DSP - Threads: 176 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,2221966667,814950000,924243333,544626667 "NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,0.14380,0.27111,0.26505,0.52697 "NAS Parallel Benchmarks - Test / Class: BT.C (Mop/s)",HIB,744413.90,313813.98,241509.88,106230.52 "NAS Parallel Benchmarks - Test / Class: CG.C (Mop/s)",HIB,74101.94,36681.43,36367.35,27619.05 "NAS Parallel Benchmarks - Test / Class: FT.C (Mop/s)",HIB,230164.79,102122.36,98485.23,55288.19 "NAS Parallel Benchmarks - Test / Class: IS.D (Mop/s)",HIB,12967.37,5730.01,3977.02,1864.68 "NAS Parallel Benchmarks - Test / Class: MG.C (Mop/s)",HIB,437417.16,131635.41,108985.72,63404.01 "NAS Parallel Benchmarks - Test / Class: SP.C (Mop/s)",HIB,427298.99,205795.59,104771.90,41543.94 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,533.494,886.810,1367.73,707.322 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,411.234,529.973,910.937,442.471 "OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,36.6548,24.4710,22.3668,8.99618 "OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,36.5446,24.2197,22.1747,8.87831 "OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,208.050,167.504,162.449,96.7630 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,38.0769,11.7501,8.66888,9.52293 "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/pathtracer/real_time (Items/sec)",HIB,32.5839,14.6088,13.9416,10.0611 "Pennant - Test: sedovbig (Hydro Cycle Time - sec)",LIB,3.581391,6.277107,5.915805,25.01956 "Pennant - Test: leblancbig (Hydro Cycle Time - sec)",LIB,2.122074,3.649317,3.466885,10.64548 "PETSc - Test: Streams (MB/s)",HIB,598417.6957,284001.9162,197895.4717,151286.2491 "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 "PostgreSQL - Scaling Factor: 1 - Clients: 800 - Mode: Read Only (TPS)",HIB,3146173,2478917,2481320,1159492 "PostgreSQL - Scaling Factor: 1 - Clients: 800 - Mode: Read Only - Average Latency (ms)",LIB,0.254,0.323,0.323,0.690 "Timed Node.js Compilation - Time To Compile (sec)",LIB,150.558,185.567,194.367,330.613