smoke test xeon e23
Tests for a future article. Intel Xeon E-2336 testing with a ASRockRack E3C252D4U (1.22 BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2308219-NE-SMOKETEST69&grr&sro.
OpenFOAM
Input: drivaerFastback, Medium Mesh Size - Execution Time
OpenFOAM
Input: drivaerFastback, Medium Mesh Size - Mesh Time
Blender
Blend File: Barbershop - Compute: CPU-Only
Timed GCC Compilation
Time To Compile
Timed Linux Kernel Compilation
Build: allmodconfig
Timed LLVM Compilation
Build System: Unix Makefiles
Timed LLVM Compilation
Build System: Ninja
OpenRadioss
Model: INIVOL and Fluid Structure Interaction Drop Container
Timed Node.js Compilation
Time To Compile
BRL-CAD
VGR Performance Metric
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Execution Time
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Mesh Time
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
Blender
Blend File: Classroom - Compute: CPU-Only
Timed Godot Game Engine Compilation
Time To Compile
Timed Gem5 Compilation
Time To Compile
Appleseed
Scene: Material Tester
Xmrig
Variant: Monero - Hash Count: 1M
SVT-HEVC
Tuning: 1 - Input: Bosphorus 4K
OpenRadioss
Model: Bird Strike on Windshield
ClickHouse
100M Rows Hits Dataset, Third Run
ClickHouse
100M Rows Hits Dataset, Second Run
ClickHouse
100M Rows Hits Dataset, First Run / Cold Cache
Apache IoTDB
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500
Apache IoTDB
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500
OpenVKL
Benchmark: vklBenchmark ISPC
OpenVKL
Benchmark: vklBenchmark Scalar
Blender
Blend File: Fishy Cat - Compute: CPU-Only
QMCPACK
Input: Li2_STO_ae
OpenRadioss
Model: Rubber O-Ring Seal Installation
Xmrig
Variant: Wownero - Hash Count: 1M
Apache Spark
Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 1000000 - Partitions: 100 - Inner Join Test Time
Apache Spark
Row Count: 1000000 - Partitions: 100 - Repartition Test Time
Apache Spark
Row Count: 1000000 - Partitions: 100 - Group By Test Time
Apache Spark
Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark
Apache Spark
Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time
Redis 7.0.12 + memtier_benchmark
Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:5
SecureMark
Benchmark: SecureMark-TLS
OpenCV
Test: Stitching
SPECFEM3D
Model: Layered Halfspace
SPECFEM3D
Model: Water-layered Halfspace
GROMACS
Implementation: MPI CPU - Input: water_GMX50_bare
TensorFlow
Device: CPU - Batch Size: 32 - Model: ResNet-50
Apache CouchDB
Bulk Size: 500 - Inserts: 1000 - Rounds: 30
OpenRadioss
Model: Bumper Beam
Build2
Time To Compile
Blender
Blend File: BMW27 - Compute: CPU-Only
FFmpeg
Encoder: libx265 - Scenario: Video On Demand
FFmpeg
Encoder: libx265 - Scenario: Video On Demand
FFmpeg
Encoder: libx265 - Scenario: Platform
FFmpeg
Encoder: libx265 - Scenario: Platform
VVenC
Video Input: Bosphorus 4K - Video Preset: Fast
FFmpeg
Encoder: libx265 - Scenario: Upload
FFmpeg
Encoder: libx265 - Scenario: Upload
High Performance Conjugate Gradient
X Y Z: 104 104 104 - RT: 60
OpenSSL
Algorithm: SHA256
OpenSSL
Algorithm: ChaCha20-Poly1305
OpenSSL
Algorithm: AES-256-GCM
OpenSSL
Algorithm: AES-128-GCM
OpenSSL
Algorithm: ChaCha20
OpenSSL
Algorithm: SHA512
OpenRadioss
Model: Cell Phone Drop Test
Apache CouchDB
Bulk Size: 300 - Inserts: 1000 - Rounds: 30
Apache IoTDB
Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500
Apache IoTDB
Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500
OSPRay
Benchmark: particle_volume/scivis/real_time
Apache IoTDB
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200
Apache IoTDB
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200
uvg266
Video Input: Bosphorus 4K - Video Preset: Slow
Geekbench
Test: CPU Single Core
Geekbench
Test: CPU Single Core
Geekbench
Test: CPU Single Core
OSPRay
Benchmark: particle_volume/pathtracer/real_time
uvg266
Video Input: Bosphorus 4K - Video Preset: Medium
OSPRay Studio
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer
Intel Open Image Denoise
Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only
OSPRay Studio
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer
PostgreSQL
Scaling Factor: 100 - Clients: 800 - Mode: Read Only
PostgreSQL
Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 500 - Mode: Read Only
PostgreSQL
Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 800 - Mode: Read Write
PostgreSQL
Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 500 - Mode: Read Write
OSPRay Studio
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer
OSPRay Studio
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
Timed Linux Kernel Compilation
Build: defconfig
SPECFEM3D
Model: Homogeneous Halfspace
Apache Cassandra
Test: Writes
Numpy Benchmark
NCNN
Target: CPU - Model: FastestDet
NCNN
Target: CPU - Model: resnet50
NCNN
Target: CPU - Model: mnasnet
NCNN
Target: CPU-v2-v2 - Model: mobilenet-v2
Geekbench
Test: CPU Multi Core
Geekbench
Test: CPU Multi Core
Geekbench
Test: CPU Multi Core
NCNN
Target: CPU - Model: vision_transformer
NCNN
Target: CPU - Model: regnety_400m
NCNN
Target: CPU - Model: squeezenet_ssd
NCNN
Target: CPU - Model: yolov4-tiny
NCNN
Target: CPU - Model: alexnet
NCNN
Target: CPU - Model: resnet18
NCNN
Target: CPU - Model: vgg16
NCNN
Target: CPU - Model: googlenet
NCNN
Target: CPU - Model: blazeface
NCNN
Target: CPU - Model: efficientnet-b0
NCNN
Target: CPU - Model: shufflenet-v2
NCNN
Target: CPU-v3-v3 - Model: mobilenet-v3
NCNN
Target: CPU - Model: mobilenet
Apache IoTDB
Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500
Apache IoTDB
Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500
OSPRay
Benchmark: particle_volume/ao/real_time
OSPRay Studio
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer
OSPRay Studio
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
CockroachDB
Workload: KV, 60% Reads - Concurrency: 128
CockroachDB
Workload: KV, 10% Reads - Concurrency: 128
CockroachDB
Workload: KV, 50% Reads - Concurrency: 128
CockroachDB
Workload: KV, 95% Reads - Concurrency: 128
libxsmm
M N K: 64
MariaDB
Clients: 128
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Medium
SPECFEM3D
Model: Mount St. Helens
Redis 7.0.12 + memtier_benchmark
Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:10
libxsmm
M N K: 32
Apache IoTDB
Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500
Apache IoTDB
Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500
SPECFEM3D
Model: Tomographic Model
Redis 7.0.12 + memtier_benchmark
Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10
Redis 7.0.12 + memtier_benchmark
Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5
NAMD
ATPase Simulation - 327,506 Atoms
Redis 7.0.12 + memtier_benchmark
Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5
Redis 7.0.12 + memtier_benchmark
Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10
ASTC Encoder
Preset: Exhaustive
Apache CouchDB
Bulk Size: 100 - Inserts: 1000 - Rounds: 30
CockroachDB
Workload: MoVR - Concurrency: 128
Apache IoTDB
Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200
Apache IoTDB
Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200
libavif avifenc
Encoder Speed: 2
VVenC
Video Input: Bosphorus 4K - Video Preset: Faster
Apache IoTDB
Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200
Apache IoTDB
Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200
OpenCV
Test: Image Processing
nginx
Connections: 500
nginx
Connections: 1000
nginx
Connections: 200
nginx
Connections: 100
TensorFlow
Device: CPU - Batch Size: 32 - Model: GoogLeNet
Apache IoTDB
Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200
Apache IoTDB
Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200
ASKAP
Test: tConvolve MT - Degridding
ASKAP
Test: tConvolve MT - Gridding
Zstd Compression
Compression Level: 19, Long Mode - Decompression Speed
Zstd Compression
Compression Level: 19, Long Mode - Compression Speed
Timed PHP Compilation
Time To Compile
Z3 Theorem Prover
SMT File: 2.smt2
Timed FFmpeg Compilation
Time To Compile
Timed Wasmer Compilation
Time To Compile
Intel Open Image Denoise
Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only
Intel Open Image Denoise
Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only
Zstd Compression
Compression Level: 19 - Decompression Speed
Zstd Compression
Compression Level: 19 - Compression Speed
Dragonflydb
Clients: 50 - Set To Get Ratio: 1:1
Dragonflydb
Clients Per Thread: 60 - Set To Get Ratio: 1:100
Dragonflydb
Clients Per Thread: 60 - Set To Get Ratio: 1:10
Dragonflydb
Clients Per Thread: 60 - Set To Get Ratio: 1:5
Dragonflydb
Clients Per Thread: 50 - Set To Get Ratio: 1:100
Dragonflydb
Clients Per Thread: 50 - Set To Get Ratio: 1:10
Dragonflydb
Clients: 50 - Set To Get Ratio: 1:5
Dragonflydb
Clients Per Thread: 50 - Set To Get Ratio: 1:5
Dragonflydb
Clients: 50 - Set To Get Ratio: 5:1
Dragonflydb
Clients Per Thread: 20 - Set To Get Ratio: 1:10
Dragonflydb
Clients Per Thread: 20 - Set To Get Ratio: 1:100
Dragonflydb
Clients Per Thread: 20 - Set To Get Ratio: 1:5
OpenVINO
Model: Person Detection FP16 - Device: CPU
OpenVINO
Model: Person Detection FP16 - Device: CPU
Dragonflydb
Clients Per Thread: 10 - Set To Get Ratio: 1:100
Dragonflydb
Clients Per Thread: 10 - Set To Get Ratio: 1:10
Dragonflydb
Clients Per Thread: 10 - Set To Get Ratio: 1:5
miniFE
Problem Size: Small
Memcached
Set To Get Ratio: 1:5
Memcached
Set To Get Ratio: 1:100
Memcached
Set To Get Ratio: 1:10
OSPRay
Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time
LuxCoreRender
Scene: Orange Juice - Acceleration: CPU
LuxCoreRender
Scene: Danish Mood - Acceleration: CPU
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
LuxCoreRender
Scene: LuxCore Benchmark - Acceleration: CPU
miniBUDE
Implementation: OpenMP - Input Deck: BM1
miniBUDE
Implementation: OpenMP - Input Deck: BM1
simdjson
Throughput Test: TopTweet
simdjson
Throughput Test: DistinctUserID
simdjson
Throughput Test: PartialTweets
Node.js V8 Web Tooling Benchmark
VVenC
Video Input: Bosphorus 1080p - Video Preset: Fast
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
LuxCoreRender
Scene: DLSC - Acceleration: CPU
Apache IoTDB
Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500
Apache IoTDB
Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500
Apache IoTDB
Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200
Apache IoTDB
Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
John The Ripper
Test: MD5
RocksDB
Test: Update Random
RocksDB
Test: Read Random Write Random
RocksDB
Test: Read While Writing
John The Ripper
Test: HMAC-SHA512
RocksDB
Test: Random Read
OpenSSL
Algorithm: RSA4096
OpenSSL
Algorithm: RSA4096
simdjson
Throughput Test: Kostya
FFmpeg
Encoder: libx265 - Scenario: Live
FFmpeg
Encoder: libx265 - Scenario: Live
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Apache IoTDB
Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500
Apache IoTDB
Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500
OpenCV
Test: Core
x265
Video Input: Bosphorus 4K
simdjson
Throughput Test: LargeRandom
ASTC Encoder
Preset: Thorough
MariaDB
Clients: 64
uvg266
Video Input: Bosphorus 4K - Video Preset: Very Fast
Apache IoTDB
Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200
Apache IoTDB
Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200
uvg266
Video Input: Bosphorus 4K - Video Preset: Super Fast
OSPRay
Benchmark: gravity_spheres_volume/dim_512/scivis/real_time
ASKAP
Test: tConvolve MPI - Gridding
Xcompact3d Incompact3d
Input: input.i3d 129 Cells Per Direction
OSPRay
Benchmark: gravity_spheres_volume/dim_512/ao/real_time
ASKAP
Test: tConvolve MPI - Degridding
Liquid-DSP
Threads: 2 - Buffer Length: 256 - Filter Length: 512
Liquid-DSP
Threads: 2 - Buffer Length: 256 - Filter Length: 57
Liquid-DSP
Threads: 2 - Buffer Length: 256 - Filter Length: 32
TensorFlow
Device: CPU - Batch Size: 32 - Model: AlexNet
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Very Fast
srsRAN Project
Test: PUSCH Processor Benchmark, Throughput Total
uvg266
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
ASTC Encoder
Preset: Fast
WebP Image Encode
Encode Settings: Quality 100, Lossless, Highest Compression
EnCodec
Target Bandwidth: 24 kbps
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Super Fast
7-Zip Compression
Test: Decompression Rating
7-Zip Compression
Test: Compression Rating
Stress-NG
Test: IO_uring
Stress-NG
Test: MEMFD
Stress-NG
Test: Cloning
Stress-NG
Test: MMAP
Stress-NG
Test: Malloc
Stress-NG
Test: Glibc C String Functions
John The Ripper
Test: WPA PSK
John The Ripper
Test: bcrypt
John The Ripper
Test: Blowfish
Stress-NG
Test: Atomic
Stress-NG
Test: Zlib
Stress-NG
Test: Function Call
Cpuminer-Opt
Algorithm: Garlicoin
Stress-NG
Test: NUMA
Liquid-DSP
Threads: 16 - Buffer Length: 256 - Filter Length: 512
Stress-NG
Test: Pthread
Liquid-DSP
Threads: 8 - Buffer Length: 256 - Filter Length: 512
Liquid-DSP
Threads: 4 - Buffer Length: 256 - Filter Length: 512
Stress-NG
Test: Vector Floating Point
Stress-NG
Test: Mutex
Stress-NG
Test: System V Message Passing
Stress-NG
Test: Socket Activity
Stress-NG
Test: AVL Tree
Stress-NG
Test: AVX-512 VNNI
Stress-NG
Test: Floating Point
Liquid-DSP
Threads: 16 - Buffer Length: 256 - Filter Length: 57
Liquid-DSP
Threads: 16 - Buffer Length: 256 - Filter Length: 32
Liquid-DSP
Threads: 1 - Buffer Length: 256 - Filter Length: 32
Stress-NG
Test: Matrix 3D Math
Liquid-DSP
Threads: 1 - Buffer Length: 256 - Filter Length: 512
Liquid-DSP
Threads: 4 - Buffer Length: 256 - Filter Length: 57
Liquid-DSP
Threads: 4 - Buffer Length: 256 - Filter Length: 32
Liquid-DSP
Threads: 1 - Buffer Length: 256 - Filter Length: 57
Liquid-DSP
Threads: 8 - Buffer Length: 256 - Filter Length: 57
Stress-NG
Test: Mixed Scheduler
Stress-NG
Test: Memory Copying
Stress-NG
Test: x86_64 RdRand
Stress-NG
Test: CPU Stress
Stress-NG
Test: CPU Cache
Stress-NG
Test: Crypto
Stress-NG
Test: Hash
Liquid-DSP
Threads: 8 - Buffer Length: 256 - Filter Length: 32
Stress-NG
Test: Matrix Math
Stress-NG
Test: Futex
Stress-NG
Test: Glibc Qsort Data Sorting
Stress-NG
Test: Fused Multiply-Add
Stress-NG
Test: Context Switching
Stress-NG
Test: Wide Vector Math
Stress-NG
Test: Vector Shuffle
Stress-NG
Test: Vector Math
Stress-NG
Test: Semaphores
Stress-NG
Test: SENDFILE
Stress-NG
Test: Forking
Stress-NG
Test: Poll
Stress-NG
Test: Pipe
Cpuminer-Opt
Algorithm: x25x
Cpuminer-Opt
Algorithm: Triple SHA-256, Onecoin
Cpuminer-Opt
Algorithm: Magi
Cpuminer-Opt
Algorithm: Myriad-Groestl
uvg266
Video Input: Bosphorus 1080p - Video Preset: Slow
Cpuminer-Opt
Algorithm: Quad SHA-256, Pyrite
Cpuminer-Opt
Algorithm: scrypt
Cpuminer-Opt
Algorithm: LBC, LBRY Credits
Cpuminer-Opt
Algorithm: Ringcoin
Cpuminer-Opt
Algorithm: Blake-2 S
Cpuminer-Opt
Algorithm: Skeincoin
Cpuminer-Opt
Algorithm: Deepcoin
EnCodec
Target Bandwidth: 6 kbps
EnCodec
Target Bandwidth: 3 kbps
LuxCoreRender
Scene: Rainbow Colors and Prism - Acceleration: CPU
VVenC
Video Input: Bosphorus 1080p - Video Preset: Faster
uvg266
Video Input: Bosphorus 1080p - Video Preset: Medium
Z3 Theorem Prover
SMT File: 1.smt2
Redis
Test: SET - Parallel Connections: 50
Redis
Test: SET - Parallel Connections: 500
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
SVT-HEVC
Tuning: 7 - Input: Bosphorus 4K
Algebraic Multi-Grid Benchmark
ASKAP
Test: Hogbom Clean OpenMP
SVT-VP9
Tuning: Visual Quality Optimized - Input: Bosphorus 4K
PyBench
Total For Average Test Times
SVT-VP9
Tuning: VMAF Optimized - Input: Bosphorus 4K
srsRAN Project
Test: Downlink Processor Benchmark
ASTC Encoder
Preset: Medium
ASKAP
Test: tConvolve OpenMP - Degridding
ASKAP
Test: tConvolve OpenMP - Gridding
SVT-VP9
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K
libavif avifenc
Encoder Speed: 6, Lossless
WebP Image Encode
Encode Settings: Quality 100, Lossless
Node.js Express HTTP Load Test
SVT-HEVC
Tuning: 10 - Input: Bosphorus 4K
x265
Video Input: Bosphorus 1080p
uvg266
Video Input: Bosphorus 1080p - Video Preset: Very Fast
srsRAN Project
Test: PUSCH Processor Benchmark, Throughput Thread
uvg266
Video Input: Bosphorus 1080p - Video Preset: Super Fast
LULESH
libavif avifenc
Encoder Speed: 6
uvg266
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
GNU Octave Benchmark
WebP Image Encode
Encode Settings: Quality 100, Highest Compression
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: Stock - Precision: double - X Y Z: 128
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: Stock - Precision: double - X Y Z: 128
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: Stock - Precision: float - X Y Z: 128
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128
WebP Image Encode
Encode Settings: Quality 100
WebP Image Encode
Encode Settings: Default
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: Stock - Precision: float - X Y Z: 128
Phoronix Test Suite v10.8.5