Xeon Gold Cascade Lake Refresh LTS Linux Benchmarks
Intel Xeon Gold 6226R testing with a Supermicro X11SPL-F v1.02 (3.1 BIOS) and ASPEED on Ubuntu 20.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2212171-PTS-XEONGOLD08&rdt&grr.
Blender
Blend File: Barbershop - Compute: CPU-Only
Timed Linux Kernel Compilation
Build: allmodconfig
LAMMPS Molecular Dynamics Simulator
Model: 20k Atoms
TensorFlow
Device: CPU - Batch Size: 256 - Model: ResNet-50
OpenFOAM
Input: drivaerFastback, Medium Mesh Size - Execution Time
OpenFOAM
Input: drivaerFastback, Medium Mesh Size - Mesh Time
JPEG XL libjxl
Input: JPEG - Quality: 100
Timed Node.js Compilation
Time To Compile
OpenRadioss
Model: INIVOL and Fluid Structure Interaction Drop Container
JPEG XL libjxl
Input: PNG - Quality: 100
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
BRL-CAD
VGR Performance Metric
nekRS
Input: TurboPipe Periodic
Blender
Blend File: Classroom - Compute: CPU-Only
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
ClickHouse
100M Rows Web Analytics Dataset, Third Run
ClickHouse
100M Rows Web Analytics Dataset, Second Run
ClickHouse
100M Rows Web Analytics Dataset, First Run / Cold Cache
OpenRadioss
Model: Bird Strike on Windshield
OSPRay Studio
Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
miniBUDE
Implementation: OpenMP - Input Deck: BM2
miniBUDE
Implementation: OpenMP - Input Deck: BM2
Mobile Neural Network
Model: inception-v3
Mobile Neural Network
Model: mobilenet-v1-1.0
Mobile Neural Network
Model: MobileNetV2_224
Mobile Neural Network
Model: SqueezeNetV1.0
Mobile Neural Network
Model: resnet-v2-50
Mobile Neural Network
Model: squeezenetv1.1
Mobile Neural Network
Model: mobilenetV3
Mobile Neural Network
Model: nasnet
TensorFlow
Device: CPU - Batch Size: 256 - Model: GoogLeNet
OSPRay Studio
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer
OSPRay Studio
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
Numenta Anomaly Benchmark
Detector: KNN CAD
Primesieve
Length: 1e13
TensorFlow
Device: CPU - Batch Size: 64 - Model: ResNet-50
OSPRay Studio
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
OpenRadioss
Model: Rubber O-Ring Seal Installation
JPEG XL libjxl
Input: JPEG - Quality: 80
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer
JPEG XL libjxl
Input: PNG - Quality: 80
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer
NCNN
Target: CPU - Model: FastestDet
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: resnet50
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: mnasnet
NCNN
Target: CPU - Model: shufflenet-v2
NCNN
Target: CPU-v3-v3 - Model: mobilenet-v3
NCNN
Target: CPU-v2-v2 - Model: mobilenet-v2
NCNN
Target: CPU - Model: mobilenet
OpenRadioss
Model: Bumper Beam
GraphicsMagick
Operation: Rotate
OSPRay Studio
Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
Xmrig
Variant: Monero - Hash Count: 1M
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
Blender
Blend File: Fishy Cat - Compute: CPU-Only
libavif avifenc
Encoder Speed: 0
Dragonflydb
Clients: 50 - Set To Get Ratio: 1:1
Stress-NG
Test: CPU Cache
PostgreSQL
Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 500 - Mode: Read Write
PostgreSQL
Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 500 - Mode: Read Only
PostgreSQL
Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 250 - Mode: Read Write
PostgreSQL
Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 100 - Mode: Read Only
PostgreSQL
Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 100 - Mode: Read Write
PostgreSQL
Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 250 - Mode: Read Only
OSPRay Studio
Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer
JPEG XL libjxl
Input: JPEG - Quality: 90
JPEG XL libjxl
Input: PNG - Quality: 90
Timed CPython Compilation
Build Configuration: Released Build, PGO + LTO Optimized
OSPRay Studio
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer
OSPRay Studio
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer
OSPRay Studio
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
OSPRay Studio
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer
OSPRay Studio
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer
Numenta Anomaly Benchmark
Detector: Earthgecko Skyline
Stargate Digital Audio Workstation
Sample Rate: 192000 - Buffer Size: 512
Blender
Blend File: BMW27 - Compute: CPU-Only
Xmrig
Variant: Wownero - Hash Count: 1M
TensorFlow
Device: CPU - Batch Size: 256 - Model: AlexNet
OpenRadioss
Model: Cell Phone Drop Test
Timed Godot Game Engine Compilation
Time To Compile
TensorFlow
Device: CPU - Batch Size: 32 - Model: ResNet-50
Timed Erlang/OTP Compilation
Time To Compile
Stargate Digital Audio Workstation
Sample Rate: 192000 - Buffer Size: 1024
oneDNN
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Execution Time
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Mesh Time
OSPRay Studio
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
Timed Linux Kernel Compilation
Build: defconfig
libavif avifenc
Encoder Speed: 2
JPEG XL Decoding libjxl
CPU Threads: 1
Stress-NG
Test: Socket Activity
Stress-NG
Test: Futex
Stress-NG
Test: Mutex
Dragonflydb
Clients: 200 - Set To Get Ratio: 1:1
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Dragonflydb
Clients: 200 - Set To Get Ratio: 5:1
Dragonflydb
Clients: 200 - Set To Get Ratio: 1:5
OpenVINO
Model: Person Detection FP32 - Device: CPU
OpenVINO
Model: Person Detection FP32 - Device: CPU
Dragonflydb
Clients: 50 - Set To Get Ratio: 1:5
Dragonflydb
Clients: 50 - Set To Get Ratio: 5:1
AOM AV1
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K
Stress-NG
Test: CPU Stress
OpenVINO
Model: Person Detection FP16 - Device: CPU
OpenVINO
Model: Person Detection FP16 - Device: CPU
Timed PHP Compilation
Time To Compile
EnCodec
Target Bandwidth: 1.5 kbps
Stargate Digital Audio Workstation
Sample Rate: 96000 - Buffer Size: 512
OpenVINO
Model: Face Detection FP16 - Device: CPU
OpenVINO
Model: Face Detection FP16 - Device: CPU
Neural Magic DeepSparse
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
OpenVINO
Model: Vehicle 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 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
Facebook RocksDB
Test: Random Fill
GraphicsMagick
Operation: Sharpen
Facebook RocksDB
Test: Random Fill Sync
Facebook RocksDB
Test: Update Random
Facebook RocksDB
Test: Read Random Write Random
GraphicsMagick
Operation: Enhanced
GraphicsMagick
Operation: Swirl
Facebook RocksDB
Test: Read While Writing
GraphicsMagick
Operation: Noise-Gaussian
GraphicsMagick
Operation: Resizing
Facebook RocksDB
Test: Random Read
GraphicsMagick
Operation: HWB Color Space
TensorFlow
Device: CPU - Batch Size: 64 - Model: GoogLeNet
ASTC Encoder
Preset: Exhaustive
EnCodec
Target Bandwidth: 3 kbps
Numenta Anomaly Benchmark
Detector: Contextual Anomaly Detector OSE
Stargate Digital Audio Workstation
Sample Rate: 96000 - Buffer Size: 1024
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
TensorFlow
Device: CPU - Batch Size: 16 - Model: ResNet-50
WebP Image Encode
Encode Settings: Quality 100, Lossless, Highest Compression
srsRAN
Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM
srsRAN
Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
spaCy
Model: en_core_web_trf
spaCy
Model: en_core_web_lg
Neural Magic DeepSparse
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
Stargate Digital Audio Workstation
Sample Rate: 480000 - Buffer Size: 512
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
srsRAN
Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM
srsRAN
Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM
Stargate Digital Audio Workstation
Sample Rate: 44100 - Buffer Size: 512
Numenta Anomaly Benchmark
Detector: Bayesian Changepoint
srsRAN
Test: OFDM_Test
Neural Magic DeepSparse
Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
Stargate Digital Audio Workstation
Sample Rate: 480000 - Buffer Size: 1024
Neural Magic DeepSparse
Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
miniBUDE
Implementation: OpenMP - Input Deck: BM1
miniBUDE
Implementation: OpenMP - Input Deck: BM1
Stargate Digital Audio Workstation
Sample Rate: 44100 - Buffer Size: 1024
7-Zip Compression
Test: Decompression Rating
7-Zip Compression
Test: Compression Rating
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
FLAC Audio Encoding
WAV To FLAC
EnCodec
Target Bandwidth: 24 kbps
TensorFlow
Device: CPU - Batch Size: 32 - Model: GoogLeNet
ASTC Encoder
Preset: Thorough
TensorFlow
Device: CPU - Batch Size: 64 - Model: AlexNet
JPEG XL Decoding libjxl
CPU Threads: All
EnCodec
Target Bandwidth: 6 kbps
Stress-NG
Test: x86_64 RdRand
Stress-NG
Test: Context Switching
Stress-NG
Test: Semaphores
Aircrack-ng
Natron
Input: Spaceship
Stress-NG
Test: Glibc C String Functions
Stress-NG
Test: System V Message Passing
Stress-NG
Test: NUMA
Stress-NG
Test: SENDFILE
Stress-NG
Test: Atomic
Cpuminer-Opt
Algorithm: Myriad-Groestl
Stress-NG
Test: Malloc
Cpuminer-Opt
Algorithm: Skeincoin
Cpuminer-Opt
Algorithm: Blake-2 S
Stress-NG
Test: IO_uring
Cpuminer-Opt
Algorithm: Deepcoin
Cpuminer-Opt
Algorithm: Magi
Stress-NG
Test: Forking
Stress-NG
Test: Vector Math
Stress-NG
Test: Matrix Math
Stress-NG
Test: MEMFD
Stress-NG
Test: MMAP
Stress-NG
Test: Crypto
Stress-NG
Test: Memory Copying
Stress-NG
Test: Glibc Qsort Data Sorting
Cpuminer-Opt
Algorithm: scrypt
Cpuminer-Opt
Algorithm: x25x
Cpuminer-Opt
Algorithm: Ringcoin
Cpuminer-Opt
Algorithm: Triple SHA-256, Onecoin
Cpuminer-Opt
Algorithm: Quad SHA-256, Pyrite
Cpuminer-Opt
Algorithm: Garlicoin
Cpuminer-Opt
Algorithm: LBC, LBRY Credits
Y-Cruncher
Pi Digits To Calculate: 1B
Facebook RocksDB
Test: Sequential Fill
srsRAN
Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM
srsRAN
Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM
srsRAN
Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM
srsRAN
Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
ASTC Encoder
Preset: Fast
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
srsRAN
Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM
srsRAN
Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
TensorFlow
Device: CPU - Batch Size: 16 - Model: GoogLeNet
WebP Image Encode
Encode Settings: Quality 100, Lossless
TensorFlow
Device: CPU - Batch Size: 32 - Model: AlexNet
C-Blosc
Test: blosclz bitshuffle
AOM AV1
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K
Numenta Anomaly Benchmark
Detector: Relative Entropy
oneDNN
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
Primesieve
Length: 1e12
AOM AV1
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K
AOM AV1
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K
Y-Cruncher
Pi Digits To Calculate: 500M
TensorFlow
Device: CPU - Batch Size: 16 - Model: AlexNet
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
C-Blosc
Test: blosclz shuffle
ASTC Encoder
Preset: Medium
libavif avifenc
Encoder Speed: 6, Lossless
oneDNN
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
Numenta Anomaly Benchmark
Detector: Windowed Gaussian
WebP Image Encode
Encode Settings: Quality 100, Highest Compression
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
libavif avifenc
Encoder Speed: 6
libavif avifenc
Encoder Speed: 10, Lossless
Timed CPython Compilation
Build Configuration: Default
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 4K
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
WebP Image Encode
Encode Settings: Quality 100
LAMMPS Molecular Dynamics Simulator
Model: Rhodopsin Protein
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
WebP Image Encode
Encode Settings: Default
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
ctx_clock
Context Switch Time
Phoronix Test Suite v10.8.5