AmpereOne At 72 Cores

AmpereOne testing with a Supermicro ARS-211M-NR R13SPD v1.02 (T20240726102529 BIOS) and ASPEED on Ubuntu 24.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2409110-NE-AMPEREONE12&grs.

Meta Performance Per Watts

Performance Per Watts

Speedb

Test: Random Read

RocksDB

Test: Random Read

GPAW

Input: Carbon Nanotube

WRF

Input: conus 2.5km

PyTorch

Device: CPU - Batch Size: 512 - Model: ResNet-50

PyTorch

Device: CPU - Batch Size: 256 - Model: ResNet-50

PyTorch

Device: CPU - Batch Size: 16 - Model: ResNet-50

PyTorch

Device: CPU - Batch Size: 1 - Model: ResNet-50

PostgreSQL

Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency

PostgreSQL

Scaling Factor: 100 - Clients: 1000 - Mode: Read Write

PostgreSQL

Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency

PostgreSQL

Scaling Factor: 100 - Clients: 1000 - Mode: Read Only

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

ASTC Encoder

Preset: Very Thorough

ASTC Encoder

Preset: Exhaustive

ASTC Encoder

Preset: Thorough

ASTC Encoder

Preset: Medium

ASTC Encoder

Preset: Fast

Cryptsetup

Twofish-XTS 512b Decryption

Cryptsetup

Twofish-XTS 512b Encryption

Cryptsetup

Serpent-XTS 512b Encryption

Cryptsetup

AES-XTS 512b Decryption

Cryptsetup

AES-XTS 512b Encryption

Cryptsetup

Twofish-XTS 256b Decryption

Cryptsetup

Twofish-XTS 256b Encryption

Cryptsetup

Serpent-XTS 256b Decryption

Cryptsetup

Serpent-XTS 256b Encryption

Cryptsetup

AES-XTS 256b Decryption

Cryptsetup

AES-XTS 256b Encryption

Cryptsetup

PBKDF2-whirlpool

Cryptsetup

PBKDF2-sha512

ASKAP

Test: Hogbom Clean OpenMP

ASKAP

Test: tConvolve OpenMP - Degridding

ASKAP

Test: tConvolve MPI - Gridding

ASKAP

Test: tConvolve MPI - Degridding

ASKAP

Test: tConvolve MT - Degridding

ASKAP

Test: tConvolve MT - Gridding

OpenSSL

Algorithm: ChaCha20-Poly1305

OpenSSL

Algorithm: AES-256-GCM

OpenSSL

Algorithm: AES-128-GCM

OpenSSL

Algorithm: ChaCha20

OpenSSL

Algorithm: SHA512

OpenSSL

Algorithm: SHA256

N-Queens

Elapsed Time

m-queens

Time To Solve

Helsing

Digit Range: 14 digit

Numpy Benchmark

Primesieve

Length: 1e13

Primesieve

Length: 1e12

Timed Node.js Compilation

Time To Compile

Timed LLVM Compilation

Build System: Unix Makefiles

Timed LLVM Compilation

Build System: Ninja

Timed Gem5 Compilation

Time To Compile

7-Zip Compression

Test: Decompression Rating

7-Zip Compression

Test: Compression Rating

Coremark

CoreMark Size 666 - Iterations Per Second

GraphicsMagick

Operation: HWB Color Space

GraphicsMagick

Operation: Noise-Gaussian

GraphicsMagick

Operation: Resizing

GraphicsMagick

Operation: Enhanced

GraphicsMagick

Operation: Sharpen

GraphicsMagick

Operation: Rotate

GraphicsMagick

Operation: Swirl

John The Ripper

Test: MD5

John The Ripper

Test: HMAC-SHA512

John The Ripper

Test: Blowfish

John The Ripper

Test: WPA PSK

John The Ripper

Test: bcrypt

srsRAN Project

Test: PUSCH Processor Benchmark, Throughput Thread

srsRAN Project

Test: PDSCH Processor Benchmark, Throughput Thread

srsRAN Project

Test: PUSCH Processor Benchmark, Throughput Total

srsRAN Project

Test: PDSCH Processor Benchmark, Throughput Total

BYTE Unix Benchmark

Computational Test: Whetstone Double

BYTE Unix Benchmark

Computational Test: System Call

BYTE Unix Benchmark

Computational Test: Dhrystone 2

BYTE Unix Benchmark

Computational Test: Pipe

Xmrig

Variant: CryptoNight-Femto UPX2 - Hash Count: 1M

Xmrig

Variant: CryptoNight-Heavy - Hash Count: 1M

Xmrig

Variant: GhostRider - Hash Count: 1M

Xmrig

Variant: Wownero - Hash Count: 1M

Xmrig

Variant: Monero - Hash Count: 1M

Xmrig

Variant: KawPow - Hash Count: 1M

FFmpeg

Encoder: libx265 - Scenario: Video On Demand

FFmpeg

Encoder: libx265 - Scenario: Platform

FFmpeg

Encoder: libx265 - Scenario: Upload

FFmpeg

Encoder: libx265 - Scenario: Live

LULESH

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Execution Time

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Mesh Time

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Execution Time

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Mesh Time

Xcompact3d Incompact3d

Input: input.i3d 193 Cells Per Direction

Xcompact3d Incompact3d

Input: X3D-benchmarking input.i3d

QMCPACK

Input: FeCO6_b3lyp_gms

QMCPACK

Input: O_ae_pyscf_UHF

QMCPACK

Input: simple-H2O

QMCPACK

Input: LiH_ae_MSD

QMCPACK

Input: Li2_STO_ae

QMCPACK

Input: H4_ae

NWChem

Input: C240 Buckyball

Pennant

Test: leblancbig

Pennant

Test: sedovbig

Algebraic Multi-Grid Benchmark

Rodinia

Test: OpenMP Streamcluster

Rodinia

Test: OpenMP CFD Solver

Rodinia

Test: OpenMP LavaMD

CloverLeaf

Input: clover_bm64_short

CloverLeaf

Input: clover_bm16

CloverLeaf

Input: clover_bm

miniFE

Problem Size: Small

NAS Parallel Benchmarks

Test / Class: SP.C

NAS Parallel Benchmarks

Test / Class: SP.B

NAS Parallel Benchmarks

Test / Class: MG.C

NAS Parallel Benchmarks

Test / Class: LU.C

NAS Parallel Benchmarks

Test / Class: IS.D

NAS Parallel Benchmarks

Test / Class: FT.C

NAS Parallel Benchmarks

Test / Class: EP.D

NAS Parallel Benchmarks

Test / Class: EP.C

NAS Parallel Benchmarks

Test / Class: CG.C

NAS Parallel Benchmarks

Test / Class: BT.C

High Performance Conjugate Gradient

X Y Z: 104 104 104 - RT: 60

QuantLib

Configuration: Single-Threaded

QuantLib

Configuration: Multi-Threaded

CPU Power Consumption Monitor

Phoronix Test Suite System Monitoring

Speedb

CPU Power Consumption Monitor

Speedb

Test: Random Read

RocksDB

CPU Power Consumption Monitor

RocksDB

Test: Random Read

GPAW

CPU Power Consumption Monitor

WRF

CPU Power Consumption Monitor

PyTorch

CPU Power Consumption Monitor

PyTorch

Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l

PyTorch

Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l

PyTorch

CPU Power Consumption Monitor

PyTorch

Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l

PyTorch

Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l

PyTorch

CPU Power Consumption Monitor