KVM testing on Ubuntu 22.04 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 2310148-NE-2310093NE34
GCE c3d-standard-60
KVM testing on Ubuntu 22.04 via the Phoronix Test Suite.
c3d-standard-60 AMD Genoa:
Processor: AMD EPYC 9B14 (30 Cores / 60 Threads), Motherboard: Google Compute Engine c3d-standard-60, Chipset: Intel 440FX 82441FX PMC, Memory: 240GB, Disk: 215GB nvme_card-pd, Network: Google Compute Engine Virtual
OS: Ubuntu 22.04, Kernel: 6.2.0-1014-gcp (x86_64), Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, System Layer: KVM
t2d-standard-60 AMD Milan:
Processor: AMD EPYC 7B13 (60 Cores), Motherboard: Google Compute Engine t2d-standard-60, Chipset: Intel 440FX 82441FX PMC, Memory: 240GB, Disk: 215GB PersistentDisk, Network: Red Hat Virtio device
OS: Ubuntu 22.04, Kernel: 6.2.0-1014-gcp (x86_64), Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, System Layer: KVM
c6g.16xlarge:
Processor: ARMv8 Neoverse-N1 (64 Cores), Motherboard: Amazon EC2 c6g.16xlarge (1.0 BIOS), Chipset: Amazon Device 0200, Memory: 128GB, Disk: 215GB Amazon Elastic Block Store, Network: Amazon Elastic
OS: Ubuntu 22.04, Kernel: 5.19.0-1025-aws (aarch64), Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, System Layer: amazon
m7a.16xlarge:
Processor: AMD EPYC 9R14 (64 Cores), Motherboard: Amazon EC2 m7a.16xlarge (1.0 BIOS), Chipset: Intel 440FX 82441FX PMC, Memory: 256GB, Disk: 215GB Amazon Elastic Block Store, Network: Amazon Elastic
OS: Ubuntu 22.04, Kernel: 5.19.0-1025-aws (x86_64), Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, System Layer: amazon
c7g.16xlarge:
Processor: ARMv8 Neoverse-V1 (64 Cores), Motherboard: Amazon EC2 c7g.16xlarge (1.0 BIOS), Chipset: Amazon Device 0200, Memory: 128GB, Disk: 215GB Amazon Elastic Block Store, Network: Amazon Elastic
OS: Ubuntu 22.04, Kernel: 5.19.0-1025-aws (aarch64), Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, System Layer: amazon
c2d-standard-56:
Processor: AMD EPYC 7B13 (28 Cores / 56 Threads), Motherboard: Google Compute Engine c2d-standard-56, Chipset: Intel 440FX 82441FX PMC, Memory: 224GB, Disk: 215GB PersistentDisk, Network: Red Hat Virtio device
OS: Ubuntu 22.04, Kernel: 6.2.0-1014-gcp (x86_64), Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, System Layer: KVM
NAS Parallel Benchmarks 3.4
Test / Class: BT.C
Total Mop/s > Higher Is Better
c3d-standard-60 AMD Genoa . 96257.48 |====================
t2d-standard-60 AMD Milan . 122720.61 |=========================
c6g.16xlarge .............. 24229.14 |=====
m7a.16xlarge .............. 193219.12 |========================================
c7g.16xlarge .............. 38934.15 |========
c2d-standard-56 ........... 94143.85 |===================
NAS Parallel Benchmarks 3.4
Test / Class: CG.C
Total Mop/s > Higher Is Better
c3d-standard-60 AMD Genoa . 19597.86 |===================
t2d-standard-60 AMD Milan . 16649.37 |================
c6g.16xlarge .............. 13343.35 |=============
m7a.16xlarge .............. 42007.57 |=========================================
c7g.16xlarge .............. 22031.27 |======================
c2d-standard-56 ........... 23089.42 |=======================
NAS Parallel Benchmarks 3.4
Test / Class: EP.D
Total Mop/s > Higher Is Better
c3d-standard-60 AMD Genoa . 3783.60 |=====================
t2d-standard-60 AMD Milan . 4935.68 |============================
c6g.16xlarge .............. 2213.76 |============
m7a.16xlarge .............. 7501.76 |==========================================
c7g.16xlarge .............. 3648.43 |====================
c2d-standard-56 ........... 2579.92 |==============
NAS Parallel Benchmarks 3.4
Test / Class: FT.C
Total Mop/s > Higher Is Better
c3d-standard-60 AMD Genoa . 39647.47 |===============
t2d-standard-60 AMD Milan . 54846.18 |=====================
c6g.16xlarge .............. 21386.37 |========
m7a.16xlarge .............. 103413.02 |========================================
c7g.16xlarge .............. 39830.18 |===============
c2d-standard-56 ........... 47216.05 |==================
NAS Parallel Benchmarks 3.4
Test / Class: IS.D
Total Mop/s > Higher Is Better
c3d-standard-60 AMD Genoa . 2422.40 |=========================
t2d-standard-60 AMD Milan . 1752.62 |==================
c6g.16xlarge .............. 915.80 |=========
m7a.16xlarge .............. 4085.20 |==========================================
c7g.16xlarge .............. 1797.76 |==================
c2d-standard-56 ........... 2190.39 |=======================
NAS Parallel Benchmarks 3.4
Test / Class: LU.C
Total Mop/s > Higher Is Better
c3d-standard-60 AMD Genoa . 73563.13 |==============
t2d-standard-60 AMD Milan . 94247.77 |==================
c6g.16xlarge .............. 18807.75 |====
m7a.16xlarge .............. 210544.87 |========================================
c7g.16xlarge .............. 28356.70 |=====
c2d-standard-56 ........... 78848.08 |===============
NAS Parallel Benchmarks 3.4
Test / Class: MG.C
Total Mop/s > Higher Is Better
c3d-standard-60 AMD Genoa . 42701.83 |==============
t2d-standard-60 AMD Milan . 47291.96 |================
c6g.16xlarge .............. 25661.04 |========
m7a.16xlarge .............. 121293.80 |========================================
c7g.16xlarge .............. 49799.57 |================
c2d-standard-56 ........... 54301.25 |==================
NAS Parallel Benchmarks 3.4
Test / Class: SP.C
Total Mop/s > Higher Is Better
c3d-standard-60 AMD Genoa . 39919.71 |================
t2d-standard-60 AMD Milan . 43228.11 |=================
c6g.16xlarge .............. 9716.99 |====
m7a.16xlarge .............. 102392.40 |========================================
c7g.16xlarge .............. 17223.95 |=======
c2d-standard-56 ........... 48423.52 |===================
Rodinia 3.1
Test: OpenMP LavaMD
Seconds < Lower Is Better
c3d-standard-60 AMD Genoa . 64.86 |=========================================
t2d-standard-60 AMD Milan . 50.97 |================================
c6g.16xlarge .............. 62.30 |=======================================
m7a.16xlarge .............. 43.29 |===========================
c7g.16xlarge .............. 43.91 |============================
c2d-standard-56 ........... 70.16 |============================================
Rodinia 3.1
Test: OpenMP HotSpot3D
Seconds < Lower Is Better
c3d-standard-60 AMD Genoa . 84.17 |=========================================
t2d-standard-60 AMD Milan . 88.54 |===========================================
m7a.16xlarge .............. 74.78 |====================================
c2d-standard-56 ........... 90.74 |============================================
Rodinia 3.1
Test: OpenMP Leukocyte
Seconds < Lower Is Better
c3d-standard-60 AMD Genoa . 45.50 |===========================================
t2d-standard-60 AMD Milan . 42.01 |========================================
m7a.16xlarge .............. 34.66 |=================================
c2d-standard-56 ........... 46.74 |============================================
Rodinia 3.1
Test: OpenMP CFD Solver
Seconds < Lower Is Better
c3d-standard-60 AMD Genoa . 10.025 |===========================================
t2d-standard-60 AMD Milan . 7.368 |================================
c6g.16xlarge .............. 5.983 |==========================
m7a.16xlarge .............. 6.480 |============================
c7g.16xlarge .............. 4.353 |===================
c2d-standard-56 ........... 9.343 |========================================
Rodinia 3.1
Test: OpenMP Streamcluster
Seconds < Lower Is Better
c3d-standard-60 AMD Genoa . 6.448 |====================
t2d-standard-60 AMD Milan . 6.423 |===================
c6g.16xlarge .............. 14.212 |===========================================
m7a.16xlarge .............. 5.930 |==================
c7g.16xlarge .............. 11.457 |===================================
c2d-standard-56 ........... 6.658 |====================
Algebraic Multi-Grid Benchmark 1.2
Figure Of Merit > Higher Is Better
c3d-standard-60 AMD Genoa . 962889833 |====================
t2d-standard-60 AMD Milan . 920427767 |===================
c6g.16xlarge .............. 1032893667 |======================
m7a.16xlarge .............. 1843444333 |=======================================
c7g.16xlarge .............. 1767349000 |=====================================
c2d-standard-56 ........... 981877267 |=====================
libxsmm 2-1.17-3645
M N K: 32
GFLOPS/s > Higher Is Better
c3d-standard-60 AMD Genoa . 255.4 |=================
t2d-standard-60 AMD Milan . 289.2 |====================
c6g.16xlarge .............. 312.7 |=====================
m7a.16xlarge .............. 643.4 |============================================
c7g.16xlarge .............. 494.2 |==================================
c2d-standard-56 ........... 306.3 |=====================
libxsmm 2-1.17-3645
M N K: 64
GFLOPS/s > Higher Is Better
c3d-standard-60 AMD Genoa . 489.7 |==================
t2d-standard-60 AMD Milan . 554.2 |====================
c6g.16xlarge .............. 589.5 |=====================
m7a.16xlarge .............. 1201.8 |===========================================
c7g.16xlarge .............. 785.0 |============================
c2d-standard-56 ........... 581.1 |=====================
Laghos 3.1
Test: Triple Point Problem
Major Kernels Total Rate > Higher Is Better
c3d-standard-60 AMD Genoa . 209.00 |=======================================
t2d-standard-60 AMD Milan . 222.30 |=========================================
c6g.16xlarge .............. 179.52 |=================================
m7a.16xlarge .............. 218.86 |=========================================
c7g.16xlarge .............. 231.85 |===========================================
c2d-standard-56 ........... 199.80 |=====================================
Laghos 3.1
Test: Sedov Blast Wave, ube_922_hex.mesh
Major Kernels Total Rate > Higher Is Better
c3d-standard-60 AMD Genoa . 259.55 |===========================
t2d-standard-60 AMD Milan . 364.64 |======================================
c6g.16xlarge .............. 321.29 |==================================
m7a.16xlarge .............. 409.73 |===========================================
c7g.16xlarge .............. 409.66 |===========================================
c2d-standard-56 ........... 239.48 |=========================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128
GFLOP/s > Higher Is Better
c3d-standard-60 AMD Genoa . 88.63 |======================
t2d-standard-60 AMD Milan . 109.68 |===========================
c6g.16xlarge .............. 129.17 |================================
m7a.16xlarge .............. 121.51 |==============================
c7g.16xlarge .............. 175.73 |===========================================
c2d-standard-56 ........... 104.53 |==========================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128
GFLOP/s > Higher Is Better
c3d-standard-60 AMD Genoa . 148.58 |======================
t2d-standard-60 AMD Milan . 196.95 |=============================
c6g.16xlarge .............. 202.45 |==============================
m7a.16xlarge .............. 190.60 |============================
c7g.16xlarge .............. 291.97 |===========================================
c2d-standard-56 ........... 164.72 |========================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128
GFLOP/s > Higher Is Better
c3d-standard-60 AMD Genoa . 57.31 |===================================
t2d-standard-60 AMD Milan . 60.03 |=====================================
c6g.16xlarge .............. 32.36 |====================
m7a.16xlarge .............. 71.11 |============================================
c7g.16xlarge .............. 52.48 |================================
c2d-standard-56 ........... 61.18 |======================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128
GFLOP/s > Higher Is Better
c3d-standard-60 AMD Genoa . 93.60 |===============================
t2d-standard-60 AMD Milan . 106.03 |====================================
c6g.16xlarge .............. 79.02 |===========================
m7a.16xlarge .............. 124.36 |==========================================
c7g.16xlarge .............. 127.99 |===========================================
c2d-standard-56 ........... 99.65 |=================================
Xcompact3d Incompact3d 2021-03-11
Input: input.i3d 129 Cells Per Direction
Seconds < Lower Is Better
c3d-standard-60 AMD Genoa . 5.87157885 |=====================================
t2d-standard-60 AMD Milan . 5.63057327 |====================================
c6g.16xlarge .............. 5.61811686 |====================================
m7a.16xlarge .............. 2.89602661 |==================
c7g.16xlarge .............. 3.15878837 |====================
c2d-standard-56 ........... 6.14409192 |=======================================
Xcompact3d Incompact3d 2021-03-11
Input: input.i3d 193 Cells Per Direction
Seconds < Lower Is Better
c3d-standard-60 AMD Genoa . 28.02 |============================================
t2d-standard-60 AMD Milan . 24.57 |=======================================
c6g.16xlarge .............. 25.87 |=========================================
m7a.16xlarge .............. 11.59 |==================
c7g.16xlarge .............. 13.79 |======================
c2d-standard-56 ........... 25.42 |========================================
OpenRadioss 2023.09.15
Model: Bumper Beam
Seconds < Lower Is Better
c3d-standard-60 AMD Genoa . 92.87 |==========================================
t2d-standard-60 AMD Milan . 75.68 |==================================
m7a.16xlarge .............. 66.27 |==============================
c2d-standard-56 ........... 98.45 |============================================
OpenRadioss 2023.09.15
Model: Chrysler Neon 1M
Seconds < Lower Is Better
c3d-standard-60 AMD Genoa . 337.70 |========================================
t2d-standard-60 AMD Milan . 327.88 |=======================================
m7a.16xlarge .............. 190.79 |=======================
c2d-standard-56 ........... 363.60 |===========================================
OpenRadioss 2023.09.15
Model: Cell Phone Drop Test
Seconds < Lower Is Better
c3d-standard-60 AMD Genoa . 38.82 |============================================
t2d-standard-60 AMD Milan . 30.12 |==================================
m7a.16xlarge .............. 26.14 |==============================
c2d-standard-56 ........... 36.84 |==========================================
OpenRadioss 2023.09.15
Model: Bird Strike on Windshield
Seconds < Lower Is Better
c3d-standard-60 AMD Genoa . 147.31 |===========================================
t2d-standard-60 AMD Milan . 123.61 |====================================
m7a.16xlarge .............. 115.96 |==================================
c2d-standard-56 ........... 146.56 |===========================================
OpenRadioss 2023.09.15
Model: Rubber O-Ring Seal Installation
Seconds < Lower Is Better
c3d-standard-60 AMD Genoa . 89.65 |============================================
t2d-standard-60 AMD Milan . 72.06 |===================================
m7a.16xlarge .............. 59.18 |=============================
c2d-standard-56 ........... 69.43 |==================================
OpenRadioss 2023.09.15
Model: INIVOL and Fluid Structure Interaction Drop Container
Seconds < Lower Is Better
Remhos 1.0
Test: Sample Remap Example
Seconds < Lower Is Better
c3d-standard-60 AMD Genoa . 33.36 |============================================
t2d-standard-60 AMD Milan . 16.33 |======================
c6g.16xlarge .............. 20.82 |===========================
m7a.16xlarge .............. 13.87 |==================
c7g.16xlarge .............. 14.26 |===================
c2d-standard-56 ........... 24.64 |================================
nekRS 23.0
Input: Kershaw
flops/rank > Higher Is Better
c3d-standard-60 AMD Genoa . 4289858333 |====================
t2d-standard-60 AMD Milan . 3681935833 |==================
c6g.16xlarge .............. 1758860000 |========
m7a.16xlarge .............. 7667846667 |====================================
c7g.16xlarge .............. 3252166667 |===============
c2d-standard-56 ........... 8195293333 |=======================================
nekRS 23.0
Input: TurboPipe Periodic
flops/rank > Higher Is Better
c3d-standard-60 AMD Genoa . 4723940000 |==================================
t2d-standard-60 AMD Milan . 2730620000 |====================
c6g.16xlarge .............. 2221710000 |================
m7a.16xlarge .............. 4774796667 |==================================
c7g.16xlarge .............. 3991736667 |=============================
c2d-standard-56 ........... 5431083333 |=======================================
LAMMPS Molecular Dynamics Simulator 23Jun2022
Model: 20k Atoms
ns/day > Higher Is Better
c3d-standard-60 AMD Genoa . 19.78 |========================
t2d-standard-60 AMD Milan . 26.73 |================================
c6g.16xlarge .............. 25.06 |==============================
m7a.16xlarge .............. 31.47 |======================================
c7g.16xlarge .............. 36.73 |============================================
c2d-standard-56 ........... 18.37 |======================
LAMMPS Molecular Dynamics Simulator 23Jun2022
Model: Rhodopsin Protein
ns/day > Higher Is Better
c3d-standard-60 AMD Genoa . 17.42 |====================
t2d-standard-60 AMD Milan . 27.83 |=================================
c6g.16xlarge .............. 26.04 |===============================
m7a.16xlarge .............. 32.79 |=======================================
c7g.16xlarge .............. 37.46 |============================================
c2d-standard-56 ........... 18.03 |=====================
Coremark 1.0
CoreMark Size 666 - Iterations Per Second
Iterations/Sec > Higher Is Better
c3d-standard-60 AMD Genoa . 1445843.52 |==========================
t2d-standard-60 AMD Milan . 1730658.45 |===============================
c6g.16xlarge .............. 1259870.72 |=======================
m7a.16xlarge .............. 2158639.27 |=======================================
c7g.16xlarge .............. 1608877.08 |=============================
c2d-standard-56 ........... 1212209.82 |======================
7-Zip Compression 22.01
Test: Compression Rating
MIPS > Higher Is Better
c3d-standard-60 AMD Genoa . 271795 |===================================
t2d-standard-60 AMD Milan . 278973 |====================================
c6g.16xlarge .............. 239735 |===============================
m7a.16xlarge .............. 330633 |===========================================
c7g.16xlarge .............. 310517 |========================================
c2d-standard-56 ........... 230430 |==============================
7-Zip Compression 22.01
Test: Decompression Rating
MIPS > Higher Is Better
c3d-standard-60 AMD Genoa . 226211 |==================================
t2d-standard-60 AMD Milan . 247255 |=====================================
c6g.16xlarge .............. 234046 |===================================
m7a.16xlarge .............. 282593 |===========================================
c7g.16xlarge .............. 285523 |===========================================
c2d-standard-56 ........... 208192 |===============================
Stockfish 15
Total Time
Nodes Per Second > Higher Is Better
c3d-standard-60 AMD Genoa . 105894457 |===============================
t2d-standard-60 AMD Milan . 112958788 |=================================
c6g.16xlarge .............. 81807706 |========================
m7a.16xlarge .............. 135419169 |========================================
c7g.16xlarge .............. 119502473 |===================================
c2d-standard-56 ........... 84017019 |=========================
libavif avifenc 1.0
Encoder Speed: 0
Seconds < Lower Is Better
c3d-standard-60 AMD Genoa . 78.07 |============
t2d-standard-60 AMD Milan . 78.35 |============
c6g.16xlarge .............. 270.07 |===========================================
m7a.16xlarge .............. 65.45 |==========
c7g.16xlarge .............. 170.59 |===========================
c2d-standard-56 ........... 88.81 |==============
libavif avifenc 1.0
Encoder Speed: 2
Seconds < Lower Is Better
c3d-standard-60 AMD Genoa . 41.54 |===========
t2d-standard-60 AMD Milan . 41.99 |===========
c6g.16xlarge .............. 167.95 |===========================================
m7a.16xlarge .............. 35.81 |=========
c7g.16xlarge .............. 102.08 |==========================
c2d-standard-56 ........... 46.54 |============
libavif avifenc 1.0
Encoder Speed: 6
Seconds < Lower Is Better
c3d-standard-60 AMD Genoa . 3.250 |================================
t2d-standard-60 AMD Milan . 3.205 |================================
c6g.16xlarge .............. 4.467 |============================================
m7a.16xlarge .............. 2.649 |==========================
c7g.16xlarge .............. 3.178 |===============================
c2d-standard-56 ........... 3.802 |=====================================
libavif avifenc 1.0
Encoder Speed: 6, Lossless
Seconds < Lower Is Better
c3d-standard-60 AMD Genoa . 6.889 |==================================
t2d-standard-60 AMD Milan . 7.639 |======================================
c6g.16xlarge .............. 8.879 |============================================
m7a.16xlarge .............. 5.678 |============================
c7g.16xlarge .............. 5.914 |=============================
c2d-standard-56 ........... 8.080 |========================================
Timed Gem5 Compilation 21.2
Time To Compile
Seconds < Lower Is Better
c3d-standard-60 AMD Genoa . 176.77 |==================================
t2d-standard-60 AMD Milan . 170.93 |=================================
c6g.16xlarge .............. 224.41 |===========================================
m7a.16xlarge .............. 153.80 |=============================
c7g.16xlarge .............. 180.00 |==================================
c2d-standard-56 ........... 192.60 |=====================================
Timed Linux Kernel Compilation 6.1
Build: defconfig
Seconds < Lower Is Better
t2d-standard-60 AMD Milan . 33.40 |==============
c6g.16xlarge .............. 102.22 |===========================================
m7a.16xlarge .............. 27.71 |============
c7g.16xlarge .............. 80.35 |==================================
c2d-standard-56 ........... 41.17 |=================
Timed Linux Kernel Compilation 6.1
Build: allmodconfig
Seconds < Lower Is Better
t2d-standard-60 AMD Milan . 333.35 |================================
c6g.16xlarge .............. 409.10 |=======================================
m7a.16xlarge .............. 267.97 |=========================
c7g.16xlarge .............. 316.01 |==============================
c2d-standard-56 ........... 452.75 |===========================================
Timed Node.js Compilation 19.8.1
Time To Compile
Seconds < Lower Is Better
c3d-standard-60 AMD Genoa . 198.39 |==============================
t2d-standard-60 AMD Milan . 191.71 |=============================
c6g.16xlarge .............. 286.20 |===========================================
m7a.16xlarge .............. 154.44 |=======================
c7g.16xlarge .............. 236.48 |====================================
c2d-standard-56 ........... 231.38 |===================================
OpenSSL 3.1
Algorithm: SHA256
byte/s > Higher Is Better
c3d-standard-60 AMD Genoa . 46211821313 |============================
t2d-standard-60 AMD Milan . 50884997103 |===============================
c6g.16xlarge .............. 42288513973 |==========================
m7a.16xlarge .............. 62253861197 |======================================
c7g.16xlarge .............. 54438555170 |=================================
c2d-standard-56 ........... 39825794840 |========================
OpenSSL 3.1
Algorithm: SHA512
byte/s > Higher Is Better
c3d-standard-60 AMD Genoa . 14702270573 |=================
t2d-standard-60 AMD Milan . 22244804183 |==========================
c6g.16xlarge .............. 14384917863 |=================
m7a.16xlarge .............. 26481506820 |===============================
c7g.16xlarge .............. 32045616820 |======================================
c2d-standard-56 ........... 13104599007 |================
OpenSSL 3.1
Algorithm: RSA4096
sign/s > Higher Is Better
c3d-standard-60 AMD Genoa . 20079.5 |===========================
t2d-standard-60 AMD Milan . 12973.0 |=================
c6g.16xlarge .............. 2640.0 |====
m7a.16xlarge .............. 31583.8 |==========================================
c7g.16xlarge .............. 10181.1 |==============
c2d-standard-56 ........... 7181.4 |==========
OpenSSL 3.1
Algorithm: RSA4096
verify/s > Higher Is Better
c3d-standard-60 AMD Genoa . 493077.6 |====================
t2d-standard-60 AMD Milan . 860844.6 |===================================
c6g.16xlarge .............. 215683.2 |=========
m7a.16xlarge .............. 996017.5 |=========================================
c7g.16xlarge .............. 713624.4 |=============================
c2d-standard-56 ........... 468650.6 |===================
OpenSSL 3.1
Algorithm: ChaCha20
byte/s > Higher Is Better
c3d-standard-60 AMD Genoa . 173980949893 |=====================
t2d-standard-60 AMD Milan . 180249145770 |======================
c6g.16xlarge .............. 67324778360 |========
m7a.16xlarge .............. 308308045083 |=====================================
c7g.16xlarge .............. 103234608683 |============
c2d-standard-56 ........... 120825305953 |===============
OpenSSL 3.1
Algorithm: AES-128-GCM
byte/s > Higher Is Better
c3d-standard-60 AMD Genoa . 343095284440 |=====================
t2d-standard-60 AMD Milan . 234604082610 |===============
c6g.16xlarge .............. 158788510970 |==========
m7a.16xlarge .............. 592545362740 |=====================================
c7g.16xlarge .............. 332345111983 |=====================
c2d-standard-56 ........... 129548766687 |========
OpenSSL 3.1
Algorithm: AES-256-GCM
byte/s > Higher Is Better
c3d-standard-60 AMD Genoa . 293328048497 |=====================
t2d-standard-60 AMD Milan . 216025967640 |===============
c6g.16xlarge .............. 129198197600 |=========
m7a.16xlarge .............. 522113080527 |=====================================
c7g.16xlarge .............. 283187826230 |====================
c2d-standard-56 ........... 118402595740 |========
OpenSSL 3.1
Algorithm: ChaCha20-Poly1305
byte/s > Higher Is Better
c3d-standard-60 AMD Genoa . 123909304773 |=====================
t2d-standard-60 AMD Milan . 119647720337 |====================
c6g.16xlarge .............. 46715126487 |========
m7a.16xlarge .............. 216773475533 |=====================================
c7g.16xlarge .............. 74306515763 |=============
c2d-standard-56 ........... 82221279643 |==============
Apache IoTDB 1.2
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400
point/sec > Higher Is Better
c3d-standard-60 AMD Genoa . 33268158 |=================================
t2d-standard-60 AMD Milan . 33466804 |==================================
m7a.16xlarge .............. 40899210 |=========================================
c2d-standard-56 ........... 33395968 |=================================
Apache IoTDB 1.2
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400
Average Latency < Lower Is Better
c3d-standard-60 AMD Genoa . 418.59 |===========================================
t2d-standard-60 AMD Milan . 415.08 |===========================================
m7a.16xlarge .............. 340.11 |===================================
c2d-standard-56 ........... 408.13 |==========================================
Apache IoTDB 1.2
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400
point/sec > Higher Is Better
c3d-standard-60 AMD Genoa . 34762565 |================================
t2d-standard-60 AMD Milan . 34925899 |================================
m7a.16xlarge .............. 44502333 |=========================================
c2d-standard-56 ........... 35460713 |=================================
Apache IoTDB 1.2
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400
Average Latency < Lower Is Better
c3d-standard-60 AMD Genoa . 623.89 |==========================================
t2d-standard-60 AMD Milan . 633.58 |===========================================
m7a.16xlarge .............. 521.98 |===================================
c2d-standard-56 ........... 629.00 |===========================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400
point/sec > Higher Is Better
c3d-standard-60 AMD Genoa . 34332237 |=================================
t2d-standard-60 AMD Milan . 34123810 |=================================
m7a.16xlarge .............. 42643903 |=========================================
c2d-standard-56 ........... 34625899 |=================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400
Average Latency < Lower Is Better
c3d-standard-60 AMD Genoa . 447.68 |===========================================
t2d-standard-60 AMD Milan . 433.96 |==========================================
m7a.16xlarge .............. 355.13 |==================================
c2d-standard-56 ........... 414.40 |========================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400
point/sec > Higher Is Better
c3d-standard-60 AMD Genoa . 35359884 |================================
t2d-standard-60 AMD Milan . 35068557 |================================
m7a.16xlarge .............. 44699315 |=========================================
c2d-standard-56 ........... 35377376 |================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400
Average Latency < Lower Is Better
c3d-standard-60 AMD Genoa . 682.12 |=========================================
t2d-standard-60 AMD Milan . 709.46 |===========================================
m7a.16xlarge .............. 598.49 |====================================
c2d-standard-56 ........... 679.86 |=========================================
GROMACS 2023
Implementation: MPI CPU - Input: water_GMX50_bare
Ns Per Day > Higher Is Better
c3d-standard-60 AMD Genoa . 4.391 |=========================
t2d-standard-60 AMD Milan . 5.289 |==============================
c6g.16xlarge .............. 2.766 |================
m7a.16xlarge .............. 7.655 |============================================
c7g.16xlarge .............. 4.194 |========================
c2d-standard-56 ........... 3.951 |=======================
PostgreSQL 16
Scaling Factor: 100 - Clients: 800 - Mode: Read Only
TPS > Higher Is Better
t2d-standard-60 AMD Milan . 2003784 |=============================
c6g.16xlarge .............. 1043267 |===============
m7a.16xlarge .............. 2923009 |==========================================
c7g.16xlarge .............. 1314317 |===================
c2d-standard-56 ........... 1509987 |======================
PostgreSQL 16
Scaling Factor: 100 - Clients: 1000 - Mode: Read Only
TPS > Higher Is Better
t2d-standard-60 AMD Milan . 2008186 |=============================
c6g.16xlarge .............. 975031 |==============
m7a.16xlarge .............. 2880940 |==========================================
c7g.16xlarge .............. 1298527 |===================
c2d-standard-56 ........... 1494445 |======================
PostgreSQL 16
Scaling Factor: 100 - Clients: 800 - Mode: Read Write
TPS > Higher Is Better
t2d-standard-60 AMD Milan . 5682 |=============================================
c6g.16xlarge .............. 4784 |======================================
m7a.16xlarge .............. 5312 |==========================================
c7g.16xlarge .............. 5348 |==========================================
c2d-standard-56 ........... 5702 |=============================================
PostgreSQL 16
Scaling Factor: 100 - Clients: 1000 - Mode: Read Write
TPS > Higher Is Better
t2d-standard-60 AMD Milan . 5793 |=============================================
c6g.16xlarge .............. 4776 |=====================================
m7a.16xlarge .............. 5300 |=========================================
c7g.16xlarge .............. 5342 |=========================================
c2d-standard-56 ........... 5820 |=============================================
TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: ResNet-50
images/sec > Higher Is Better
c3d-standard-60 AMD Genoa . 50.99 |================================
t2d-standard-60 AMD Milan . 18.29 |============
m7a.16xlarge .............. 69.55 |============================================
c2d-standard-56 ........... 20.00 |=============
TensorFlow 2.12
Device: CPU - Batch Size: 32 - Model: ResNet-50
images/sec > Higher Is Better
c3d-standard-60 AMD Genoa . 62.74 |================================
t2d-standard-60 AMD Milan . 20.36 |==========
m7a.16xlarge .............. 87.19 |============================================
c2d-standard-56 ........... 21.48 |===========
TensorFlow 2.12
Device: CPU - Batch Size: 64 - Model: ResNet-50
images/sec > Higher Is Better
c3d-standard-60 AMD Genoa . 69.68 |==============================
t2d-standard-60 AMD Milan . 20.90 |=========
m7a.16xlarge .............. 100.15 |===========================================
c2d-standard-56 ........... 21.82 |=========
Blender 3.6
Blend File: BMW27 - Compute: CPU-Only
Seconds < Lower Is Better
t2d-standard-60 AMD Milan . 34.27 |===============================
m7a.16xlarge .............. 27.74 |=========================
c2d-standard-56 ........... 49.01 |============================================
Blender 3.6
Blend File: Classroom - Compute: CPU-Only
Seconds < Lower Is Better
t2d-standard-60 AMD Milan . 89.35 |===============================
m7a.16xlarge .............. 71.51 |========================
c2d-standard-56 ........... 125.73 |===========================================
Blender 3.6
Blend File: Fishy Cat - Compute: CPU-Only
Seconds < Lower Is Better
t2d-standard-60 AMD Milan . 45.22 |==================================
m7a.16xlarge .............. 37.12 |============================
c2d-standard-56 ........... 59.22 |============================================
Blender 3.6
Blend File: Barbershop - Compute: CPU-Only
Seconds < Lower Is Better
t2d-standard-60 AMD Milan . 351.58 |================================
m7a.16xlarge .............. 276.23 |=========================
c2d-standard-56 ........... 468.20 |===========================================
Blender 3.6
Blend File: Pabellon Barcelona - Compute: CPU-Only
Seconds < Lower Is Better
t2d-standard-60 AMD Milan . 112.64 |================================
m7a.16xlarge .............. 91.88 |==========================
c2d-standard-56 ........... 150.06 |===========================================
OpenVINO 2023.1
Model: Face Detection FP16 - Device: CPU
FPS > Higher Is Better
c3d-standard-60 AMD Genoa . 18.39 |==========================
t2d-standard-60 AMD Milan . 10.73 |===============
c6g.16xlarge .............. 0.10 |
m7a.16xlarge .............. 31.72 |============================================
c7g.16xlarge .............. 0.18 |
c2d-standard-56 ........... 7.25 |==========
OpenVINO 2023.1
Model: Face Detection FP16 - Device: CPU
ms < Lower Is Better
c3d-standard-60 AMD Genoa . 648.81 |===
t2d-standard-60 AMD Milan . 1393.56 |======
c6g.16xlarge .............. 9996.56 |==========================================
m7a.16xlarge .............. 503.38 |==
c7g.16xlarge .............. 5639.78 |========================
c2d-standard-56 ........... 1914.27 |========
OpenVINO 2023.1
Model: Person Detection FP16 - Device: CPU
FPS > Higher Is Better
c3d-standard-60 AMD Genoa . 142.75 |======================
t2d-standard-60 AMD Milan . 73.74 |===========
c6g.16xlarge .............. 1.06 |
m7a.16xlarge .............. 284.42 |===========================================
c7g.16xlarge .............. 1.81 |
c2d-standard-56 ........... 82.47 |============
OpenVINO 2023.1
Model: Person Detection FP16 - Device: CPU
ms < Lower Is Better
c3d-standard-60 AMD Genoa . 83.99 |====
t2d-standard-60 AMD Milan . 208.47 |=========
c6g.16xlarge .............. 947.59 |===========================================
m7a.16xlarge .............. 56.21 |===
c7g.16xlarge .............. 554.28 |=========================
c2d-standard-56 ........... 169.57 |========
OpenVINO 2023.1
Model: Person Detection FP32 - Device: CPU
FPS > Higher Is Better
c3d-standard-60 AMD Genoa . 142.90 |======================
t2d-standard-60 AMD Milan . 78.96 |============
c6g.16xlarge .............. 1.06 |
m7a.16xlarge .............. 283.40 |===========================================
c7g.16xlarge .............. 1.81 |
c2d-standard-56 ........... 82.47 |=============
OpenVINO 2023.1
Model: Person Detection FP32 - Device: CPU
ms < Lower Is Better
c3d-standard-60 AMD Genoa . 83.91 |====
t2d-standard-60 AMD Milan . 193.45 |=========
c6g.16xlarge .............. 947.86 |===========================================
m7a.16xlarge .............. 56.41 |===
c7g.16xlarge .............. 553.52 |=========================
c2d-standard-56 ........... 169.62 |========
OpenVINO 2023.1
Model: Vehicle Detection FP16 - Device: CPU
FPS > Higher Is Better
c3d-standard-60 AMD Genoa . 1389.69 |========================
t2d-standard-60 AMD Milan . 368.39 |======
c6g.16xlarge .............. 6.53 |
m7a.16xlarge .............. 2417.34 |==========================================
c7g.16xlarge .............. 11.19 |
c2d-standard-56 ........... 701.00 |============
OpenVINO 2023.1
Model: Vehicle Detection FP16 - Device: CPU
ms < Lower Is Better
c3d-standard-60 AMD Genoa . 8.62 |==
t2d-standard-60 AMD Milan . 40.67 |===========
c6g.16xlarge .............. 153.12 |===========================================
m7a.16xlarge .............. 6.60 |==
c7g.16xlarge .............. 89.36 |=========================
c2d-standard-56 ........... 19.94 |======
OpenVINO 2023.1
Model: Face Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
c3d-standard-60 AMD Genoa . 35.19 |=========================
t2d-standard-60 AMD Milan . 26.28 |===================
c6g.16xlarge .............. 0.04 |
m7a.16xlarge .............. 61.19 |============================================
c7g.16xlarge .............. 0.08 |
c2d-standard-56 ........... 16.03 |============
OpenVINO 2023.1
Model: Face Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
c3d-standard-60 AMD Genoa . 340.29 |=
t2d-standard-60 AMD Milan . 568.77 |=
c6g.16xlarge .............. 22391.86 |=========================================
m7a.16xlarge .............. 261.11 |
c7g.16xlarge .............. 12852.08 |========================
c2d-standard-56 ........... 868.35 |==
OpenVINO 2023.1
Model: Face Detection Retail FP16 - Device: CPU
FPS > Higher Is Better
c3d-standard-60 AMD Genoa . 4166.39 |========================
t2d-standard-60 AMD Milan . 1285.47 |=======
c6g.16xlarge .............. 20.79 |
m7a.16xlarge .............. 7222.10 |==========================================
c7g.16xlarge .............. 33.23 |
c2d-standard-56 ........... 2215.74 |=============
OpenVINO 2023.1
Model: Face Detection Retail FP16 - Device: CPU
ms < Lower Is Better
c3d-standard-60 AMD Genoa . 2.87 |===
t2d-standard-60 AMD Milan . 11.65 |===========
c6g.16xlarge .............. 48.08 |============================================
m7a.16xlarge .............. 2.21 |==
c7g.16xlarge .............. 30.08 |============================
c2d-standard-56 ........... 6.30 |======
OpenVINO 2023.1
Model: Road Segmentation ADAS FP16 - Device: CPU
FPS > Higher Is Better
c3d-standard-60 AMD Genoa . 576.94 |=======================
t2d-standard-60 AMD Milan . 225.48 |=========
c6g.16xlarge .............. 2.61 |
m7a.16xlarge .............. 1049.66 |==========================================
c7g.16xlarge .............. 4.51 |
c2d-standard-56 ........... 322.27 |=============
OpenVINO 2023.1
Model: Road Segmentation ADAS FP16 - Device: CPU
ms < Lower Is Better
c3d-standard-60 AMD Genoa . 20.77 |==
t2d-standard-60 AMD Milan . 66.46 |=======
c6g.16xlarge .............. 382.47 |===========================================
m7a.16xlarge .............. 15.22 |==
c7g.16xlarge .............. 221.50 |=========================
c2d-standard-56 ........... 43.39 |=====
OpenVINO 2023.1
Model: Vehicle Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
c3d-standard-60 AMD Genoa . 2043.05 |=======================
t2d-standard-60 AMD Milan . 1512.57 |=================
c6g.16xlarge .............. 0.14 |
m7a.16xlarge .............. 3666.89 |==========================================
c7g.16xlarge .............. 0.25 |
c2d-standard-56 ........... 1089.83 |============
OpenVINO 2023.1
Model: Vehicle Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
c3d-standard-60 AMD Genoa . 5.86 |
t2d-standard-60 AMD Milan . 9.90 |
c6g.16xlarge .............. 6990.10 |==========================================
m7a.16xlarge .............. 4.35 |
c7g.16xlarge .............. 3957.74 |========================
c2d-standard-56 ........... 12.83 |
OpenVINO 2023.1
Model: Weld Porosity Detection FP16 - Device: CPU
FPS > Higher Is Better
c3d-standard-60 AMD Genoa . 1875.28 |=========================
t2d-standard-60 AMD Milan . 1014.70 |==============
c6g.16xlarge .............. 8.39 |
m7a.16xlarge .............. 3132.48 |==========================================
c7g.16xlarge .............. 14.31 |
c2d-standard-56 ........... 689.56 |=========
OpenVINO 2023.1
Model: Weld Porosity Detection FP16 - Device: CPU
ms < Lower Is Better
c3d-standard-60 AMD Genoa . 15.98 |======
t2d-standard-60 AMD Milan . 14.76 |=====
c6g.16xlarge .............. 119.17 |===========================================
m7a.16xlarge .............. 10.19 |====
c7g.16xlarge .............. 69.89 |=========================
c2d-standard-56 ........... 20.28 |=======
OpenVINO 2023.1
Model: Face Detection Retail FP16-INT8 - Device: CPU
FPS > Higher Is Better
c3d-standard-60 AMD Genoa . 6605.12 |==========================
t2d-standard-60 AMD Milan . 4239.52 |=================
c6g.16xlarge .............. 0.46 |
m7a.16xlarge .............. 10382.22 |=========================================
c7g.16xlarge .............. 0.80 |
c2d-standard-56 ........... 3195.58 |=============
OpenVINO 2023.1
Model: Face Detection Retail FP16-INT8 - Device: CPU
ms < Lower Is Better
c3d-standard-60 AMD Genoa . 4.53 |
t2d-standard-60 AMD Milan . 3.52 |
c6g.16xlarge .............. 2186.81 |==========================================
m7a.16xlarge .............. 3.07 |
c7g.16xlarge .............. 1255.02 |========================
c2d-standard-56 ........... 4.36 |
OpenVINO 2023.1
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
FPS > Higher Is Better
c3d-standard-60 AMD Genoa . 645.74 |======================
t2d-standard-60 AMD Milan . 565.34 |===================
c6g.16xlarge .............. 0.15 |
m7a.16xlarge .............. 1222.99 |==========================================
c7g.16xlarge .............. 0.26 |
c2d-standard-56 ........... 466.41 |================
OpenVINO 2023.1
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
ms < Lower Is Better
c3d-standard-60 AMD Genoa . 18.56 |
t2d-standard-60 AMD Milan . 26.50 |
c6g.16xlarge .............. 6773.31 |==========================================
m7a.16xlarge .............. 13.07 |
c7g.16xlarge .............. 3871.33 |========================
c2d-standard-56 ........... 29.99 |
OpenVINO 2023.1
Model: Machine Translation EN To DE FP16 - Device: CPU
FPS > Higher Is Better
c3d-standard-60 AMD Genoa . 185.29 |=========================
t2d-standard-60 AMD Milan . 96.58 |=============
c6g.16xlarge .............. 1.36 |
m7a.16xlarge .............. 315.14 |===========================================
c7g.16xlarge .............. 2.32 |
c2d-standard-56 ........... 93.23 |=============
OpenVINO 2023.1
Model: Machine Translation EN To DE FP16 - Device: CPU
ms < Lower Is Better
c3d-standard-60 AMD Genoa . 64.70 |====
t2d-standard-60 AMD Milan . 155.14 |=========
c6g.16xlarge .............. 735.58 |===========================================
m7a.16xlarge .............. 50.72 |===
c7g.16xlarge .............. 431.90 |=========================
c2d-standard-56 ........... 149.97 |=========
OpenVINO 2023.1
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
c3d-standard-60 AMD Genoa . 3650.57 |=========================
t2d-standard-60 AMD Milan . 2646.58 |==================
c6g.16xlarge .............. 5.50 |
m7a.16xlarge .............. 6177.94 |==========================================
c7g.16xlarge .............. 9.09 |
c2d-standard-56 ........... 1581.23 |===========
OpenVINO 2023.1
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
c3d-standard-60 AMD Genoa . 8.20 |==
t2d-standard-60 AMD Milan . 11.32 |===
c6g.16xlarge .............. 181.94 |===========================================
m7a.16xlarge .............. 5.16 |=
c7g.16xlarge .............. 109.99 |==========================
c2d-standard-56 ........... 17.69 |====
OpenVINO 2023.1
Model: Person Vehicle Bike Detection FP16 - Device: CPU
FPS > Higher Is Better
c3d-standard-60 AMD Genoa . 1764.21 |========================
t2d-standard-60 AMD Milan . 633.76 |========
c6g.16xlarge .............. 7.36 |
m7a.16xlarge .............. 3146.04 |==========================================
c7g.16xlarge .............. 10.15 |
c2d-standard-56 ........... 1022.81 |==============
OpenVINO 2023.1
Model: Person Vehicle Bike Detection FP16 - Device: CPU
ms < Lower Is Better
c3d-standard-60 AMD Genoa . 6.79 |==
t2d-standard-60 AMD Milan . 23.64 |=======
c6g.16xlarge .............. 135.87 |===========================================
m7a.16xlarge .............. 5.07 |==
c7g.16xlarge .............. 98.57 |===============================
c2d-standard-56 ........... 13.66 |====
OpenVINO 2023.1
Model: Handwritten English Recognition FP16 - Device: CPU
FPS > Higher Is Better
c3d-standard-60 AMD Genoa . 964.46 |=============================
t2d-standard-60 AMD Milan . 370.03 |===========
c6g.16xlarge .............. 2.53 |
m7a.16xlarge .............. 1419.11 |==========================================
c7g.16xlarge .............. 2.53 |
c2d-standard-56 ........... 280.26 |========
OpenVINO 2023.1
Model: Handwritten English Recognition FP16 - Device: CPU
ms < Lower Is Better
c3d-standard-60 AMD Genoa . 31.08 |===
t2d-standard-60 AMD Milan . 81.00 |=========
c6g.16xlarge .............. 394.94 |===========================================
m7a.16xlarge .............. 22.53 |==
c7g.16xlarge .............. 395.91 |===========================================
c2d-standard-56 ........... 99.81 |===========
OpenVINO 2023.1
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
FPS > Higher Is Better
c3d-standard-60 AMD Genoa . 43607.04 |======================
t2d-standard-60 AMD Milan . 29668.12 |===============
c6g.16xlarge .............. 178.82 |
m7a.16xlarge .............. 81996.81 |=========================================
c7g.16xlarge .............. 258.59 |
c2d-standard-56 ........... 21951.03 |===========
OpenVINO 2023.1
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
ms < Lower Is Better
c3d-standard-60 AMD Genoa . 0.52 |====
t2d-standard-60 AMD Milan . 0.99 |========
c6g.16xlarge .............. 5.58 |=============================================
m7a.16xlarge .............. 0.38 |===
c7g.16xlarge .............. 3.86 |===============================
c2d-standard-56 ........... 1.25 |==========
OpenVINO 2023.1
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
FPS > Higher Is Better
c3d-standard-60 AMD Genoa . 761.14 |============================
t2d-standard-60 AMD Milan . 390.72 |==============
c6g.16xlarge .............. 2.36 |
m7a.16xlarge .............. 1158.43 |==========================================
c7g.16xlarge .............. 2.44 |
c2d-standard-56 ........... 301.60 |===========
OpenVINO 2023.1
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
ms < Lower Is Better
c3d-standard-60 AMD Genoa . 39.38 |====
t2d-standard-60 AMD Milan . 76.72 |========
c6g.16xlarge .............. 423.95 |===========================================
m7a.16xlarge .............. 27.60 |===
c7g.16xlarge .............. 410.00 |==========================================
c2d-standard-56 ........... 92.77 |=========
OpenVINO 2023.1
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
FPS > Higher Is Better
c3d-standard-60 AMD Genoa . 54971.26 |========================
t2d-standard-60 AMD Milan . 44049.15 |====================
c6g.16xlarge .............. 136.16 |
m7a.16xlarge .............. 92100.80 |=========================================
c7g.16xlarge .............. 180.79 |
c2d-standard-56 ........... 35877.14 |================
OpenVINO 2023.1
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
ms < Lower Is Better
c3d-standard-60 AMD Genoa . 0.40 |==
t2d-standard-60 AMD Milan . 0.61 |====
c6g.16xlarge .............. 7.33 |=============================================
m7a.16xlarge .............. 0.27 |==
c7g.16xlarge .............. 5.52 |==================================
c2d-standard-56 ........... 0.60 |====
Apache Cassandra 4.1.3
Test: Writes
Op/s > Higher Is Better
c3d-standard-60 AMD Genoa . 228640 |===============================
t2d-standard-60 AMD Milan . 187169 |=========================
c6g.16xlarge .............. 217355 |==============================
m7a.16xlarge .............. 278585 |======================================
c7g.16xlarge .............. 316573 |===========================================
c2d-standard-56 ........... 178227 |========================
nginx 1.23.2
Connections: 500
Requests Per Second > Higher Is Better
c3d-standard-60 AMD Genoa . 187350.44 |=============================
t2d-standard-60 AMD Milan . 162957.75 |==========================
c6g.16xlarge .............. 162553.85 |==========================
m7a.16xlarge .............. 233014.72 |=====================================
c7g.16xlarge .............. 254864.93 |========================================
c2d-standard-56 ........... 160196.24 |=========================
nginx 1.23.2
Connections: 1000
Requests Per Second > Higher Is Better
c3d-standard-60 AMD Genoa . 180537.84 |============================
t2d-standard-60 AMD Milan . 155609.04 |========================
c6g.16xlarge .............. 158700.36 |=========================
m7a.16xlarge .............. 224859.09 |===================================
c7g.16xlarge .............. 255540.03 |========================================
c2d-standard-56 ........... 161127.09 |=========================
BRL-CAD 7.36
VGR Performance Metric
VGR Performance Metric > Higher Is Better
c3d-standard-60 AMD Genoa . 510819 |============================
t2d-standard-60 AMD Milan . 629363 |==================================
m7a.16xlarge .............. 788704 |===========================================
c2d-standard-56 ........... 410738 |======================
PostgreSQL 16
Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency
ms < Lower Is Better
t2d-standard-60 AMD Milan . 0.399 |=======================
c6g.16xlarge .............. 0.767 |============================================
m7a.16xlarge .............. 0.274 |================
c7g.16xlarge .............. 0.609 |===================================
c2d-standard-56 ........... 0.530 |==============================
PostgreSQL 16
Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency
ms < Lower Is Better
t2d-standard-60 AMD Milan . 0.498 |=====================
c6g.16xlarge .............. 1.026 |============================================
m7a.16xlarge .............. 0.347 |===============
c7g.16xlarge .............. 0.770 |=================================
c2d-standard-56 ........... 0.669 |=============================
PostgreSQL 16
Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency
ms < Lower Is Better
t2d-standard-60 AMD Milan . 140.92 |====================================
c6g.16xlarge .............. 168.19 |===========================================
m7a.16xlarge .............. 150.60 |=======================================
c7g.16xlarge .............. 149.60 |======================================
c2d-standard-56 ........... 140.41 |====================================
PostgreSQL 16
Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency
ms < Lower Is Better
t2d-standard-60 AMD Milan . 172.72 |===================================
c6g.16xlarge .............. 210.61 |===========================================
m7a.16xlarge .............. 188.68 |=======================================
c7g.16xlarge .............. 187.19 |======================================
c2d-standard-56 ........... 171.95 |===================================