Intel Xeon Platinum 8490H Linux Benchmarks

Tests for a future article on Phoronix of Sapphire Rapids launch day review using the Intel Xeon Platinum 8490H processors. More benchmarks to come by Michael Larabel.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2301109-PTS-SPRREVIE33
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BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
C++ Boost Tests 3 Tests
Chess Test Suite 2 Tests
Timed Code Compilation 4 Tests
C/C++ Compiler Tests 7 Tests
CPU Massive 20 Tests
Creator Workloads 14 Tests
Fortran Tests 4 Tests
Game Development 4 Tests
HPC - High Performance Computing 19 Tests
Linear Algebra 2 Tests
Machine Learning 4 Tests
Molecular Dynamics 6 Tests
MPI Benchmarks 5 Tests
Multi-Core 25 Tests
NVIDIA GPU Compute 4 Tests
Intel oneAPI 6 Tests
OpenMPI Tests 13 Tests
Programmer / Developer System Benchmarks 9 Tests
Python 2 Tests
Raytracing 5 Tests
Renderers 6 Tests
Scientific Computing 8 Tests
Server 4 Tests
Server CPU Tests 15 Tests
Single-Threaded 3 Tests
Common Workstation Benchmarks 3 Tests

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Date
Run
  Test
  Duration
EPYC 7713
September 10 2022
  11 Hours, 38 Minutes
EPYC 7713 2P
September 06 2022
  8 Hours, 48 Minutes
EPYC 7763
September 16 2022
  11 Hours, 27 Minutes
EPYC 7763 2P
September 18 2022
  8 Hours, 42 Minutes
EPYC 7773X
September 19 2022
  10 Hours, 45 Minutes
EPYC 7773X 2P
September 22 2022
  8 Hours, 48 Minutes
EPYC 9374F
November 11 2022
  10 Hours, 13 Minutes
EPYC 9374F 2P
November 13 2022
  7 Hours, 50 Minutes
EPYC 9554
November 02 2022
  9 Hours
EPYC 9554 2P
October 31 2022
  7 Hours, 15 Minutes
EPYC 9654
October 15 2022
  8 Hours, 29 Minutes
EPYC 9654 2P
October 22 2022
  6 Hours, 42 Minutes
Xeon Platinum 8362
October 04 2022
  13 Hours, 52 Minutes
Xeon Platinum 8362 2P
October 05 2022
  9 Hours, 22 Minutes
Xeon Platinum 8380
September 30 2022
  12 Hours, 57 Minutes
Xeon Platinum 8380 2P
November 04 2022
  9 Hours, 53 Minutes
Xeon Platinum 8490H
January 08 2023
  10 Hours, 20 Minutes
Xeon Platinum 8490H 2P
January 06 2023
  8 Hours, 52 Minutes
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  9 Hours, 43 Minutes

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Intel Xeon Platinum 8490H Linux Benchmarks Suite 1.0.0 System Test suite extracted from Intel Xeon Platinum 8490H Linux Benchmarks. pts/compress-7zip-1.10.0 Test: Compression Rating pts/compress-7zip-1.10.0 Test: Decompression Rating pts/mt-dgemm-1.2.0 Sustained Floating-Point Rate pts/amg-1.1.0 pts/asmfish-1.1.2 1024 Hash Memory, 26 Depth pts/astcenc-1.4.0 -medium -repeats 20 Preset: Medium pts/astcenc-1.4.0 -thorough -repeats 10 Preset: Thorough pts/astcenc-1.4.0 -exhaustive -repeats 2 Preset: Exhaustive pts/blender-3.3.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: BMW27 - Compute: CPU-Only pts/blender-3.3.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Classroom - Compute: CPU-Only pts/blender-3.3.0 -b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Fishy Cat - Compute: CPU-Only pts/blender-3.3.0 -b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Pabellon Barcelona - Compute: CPU-Only pts/blender-3.3.0 -b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Barbershop - Compute: CPU-Only pts/brl-cad-1.3.0 VGR Performance Metric pts/c-ray-1.2.0 Total Time - 4K, 16 Rays Per Pixel pts/coremark-1.0.1 CoreMark Size 666 - Iterations Per Second pts/dacapobench-1.0.1 jython Java Test: Jython pts/embree-1.2.1 pathtracer_ispc -c asian_dragon/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon pts/graph500-1.0.1 26 Scale: 26 pts/graphics-magick-2.1.0 -enhance Operation: Enhanced pts/graphics-magick-2.1.0 -sharpen 0x2.0 Operation: Sharpen pts/gromacs-1.7.0 mpi-build water-cut1.0_GMX50_bare/1536 Implementation: MPI CPU - Input: water_GMX50_bare pts/hpcg-1.2.1 pts/oidn-1.4.0 -r RT.hdr_alb_nrm.3840x2160 Run: RT.hdr_alb_nrm.3840x2160 pts/oidn-1.4.0 -r RT.ldr_alb_nrm.3840x2160 Run: RT.ldr_alb_nrm.3840x2160 pts/oidn-1.4.0 -r RTLightmap.hdr.4096x4096 Run: RTLightmap.hdr.4096x4096 pts/lczero-1.6.0 -b eigen Backend: Eigen pts/liquid-dsp-1.0.0 -n 128 -b 256 -f 57 Threads: 128 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.0.0 -n 256 -b 256 -f 57 Threads: 256 - Buffer Length: 256 - Filter Length: 57 pts/lulesh-1.1.1 pts/namd-1.2.1 ATPase Simulation - 327,506 Atoms pts/npb-1.4.5 bt.C Test / Class: BT.C pts/npb-1.4.5 ep.C Test / Class: EP.C pts/npb-1.4.5 ep.D Test / Class: EP.D pts/npb-1.4.5 sp.B Test / Class: SP.B pts/npb-1.4.5 sp.C Test / Class: SP.C pts/npb-1.4.5 mg.C Test / Class: MG.C pts/npb-1.4.5 cg.C Test / Class: CG.C pts/deepsparse-1.0.1 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario sync Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream pts/deepsparse-1.0.1 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario async Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.0.1 zoo:nlp/token_classification/bert-base/pytorch/huggingface/conll2003/base-none --scenario async Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.0.1 zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/12layer_pruned90-none --scenario async Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.0.1 zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/base-none --scenario async Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.0.1 zoo:nlp/document_classification/obert-base/pytorch/huggingface/imdb/base-none --scenario async Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream pts/node-express-loadtest-1.0.1 pts/onednn-1.8.0 --conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU pts/onednn-1.8.0 --conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.8.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU pts/onednn-2.7.0 --conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU pts/onednn-2.7.0 --conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU pts/onednn-2.7.0 --conv --batch=inputs/conv/shapes_auto --cfg=bf16bf16bf16 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU pts/openfoam-1.2.0 incompressible/simpleFoam/drivaerFastback/ -m S Input: drivaerFastback, Small Mesh Size - Execution Time pts/openfoam-1.2.0 incompressible/simpleFoam/drivaerFastback/ -m M Input: drivaerFastback, Medium Mesh Size - Execution Time pts/openradioss-1.0.0 Cell_Phone_Drop_0000.rad Cell_Phone_Drop_0001.rad Model: Cell Phone Drop Test pts/openradioss-1.0.0 fsi_drop_container_0000.rad fsi_drop_container_0001.rad Model: INIVOL and Fluid Structure Interaction Drop Container pts/openssl-3.0.1 rsa4096 Algorithm: RSA4096 pts/openvino-1.1.0 -m models/intel/face-detection-0206/FP16/face-detection-0206.xml -d CPU Model: Face Detection FP16 - Device: CPU pts/openvino-1.1.0 -m models/intel/face-detection-0206/FP16-INT8/face-detection-0206.xml -d CPU Model: Face Detection FP16-INT8 - Device: CPU pts/openvino-1.1.0 -m models/intel/age-gender-recognition-retail-0013/FP16/age-gender-recognition-retail-0013.xml -d CPU Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU pts/openvino-1.1.0 -m models/intel/person-detection-0106/FP16/person-detection-0106.xml -d CPU Model: Person Detection FP16 - Device: CPU pts/openvino-1.1.0 -m models/intel/person-detection-0106/FP32/person-detection-0106.xml -d CPU Model: Person Detection FP32 - Device: CPU pts/openvino-1.1.0 -m models/intel/weld-porosity-detection-0001/FP16-INT8/weld-porosity-detection-0001.xml -d CPU Model: Weld Porosity Detection FP16-INT8 - Device: CPU pts/openvino-1.1.0 -m models/intel/weld-porosity-detection-0001/FP16/weld-porosity-detection-0001.xml -d CPU Model: Weld Porosity Detection FP16 - Device: CPU pts/openvino-1.1.0 -m models/intel/person-vehicle-bike-detection-2004/FP16/person-vehicle-bike-detection-2004.xml -d CPU Model: Person Vehicle Bike Detection FP16 - Device: CPU pts/openvino-1.1.0 -m models/intel/machine-translation-nar-en-de-0002/FP16/machine-translation-nar-en-de-0002.xml -d CPU Model: Machine Translation EN To DE FP16 - Device: CPU pts/ospray-2.10.0 --benchmark_filter=gravity_spheres_volume/dim_512/ao/real_time Benchmark: gravity_spheres_volume/dim_512/ao/real_time pts/ospray-2.10.0 --benchmark_filter=gravity_spheres_volume/dim_512/pathtracer/real_time Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time pts/ospray-studio-1.1.0 --cameras 1 1 --resolution 3840 2160 --spp 1 --renderer pathtracer Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer pts/ospray-studio-1.1.0 --cameras 1 1 --resolution 3840 2160 --spp 16 --renderer pathtracer Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer pts/ospray-studio-1.1.0 --cameras 1 1 --resolution 3840 2160 --spp 32 --renderer pathtracer Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer pts/ospray-studio-1.1.0 --cameras 2 2 --resolution 3840 2160 --spp 1 --renderer pathtracer Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer pts/ospray-studio-1.1.0 --cameras 2 2 --resolution 3840 2160 --spp 16 --renderer pathtracer Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer pts/ospray-studio-1.1.0 --cameras 2 2 --resolution 3840 2160 --spp 32 --renderer pathtracer Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer pts/ospray-studio-1.1.0 --cameras 3 3 --resolution 3840 2160 --spp 1 --renderer pathtracer Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer pts/ospray-studio-1.1.0 --cameras 3 3 --resolution 3840 2160 --spp 16 --renderer pathtracer Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer pts/ospray-studio-1.1.0 --cameras 3 3 --resolution 3840 2160 --spp 32 --renderer pathtracer Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer pts/pennant-1.1.0 leblancbig/leblancbig.pnt Test: leblancbig pts/phpbench-1.1.6 PHP Benchmark Suite pts/povray-1.2.1 Trace Time pts/pybench-1.1.3 Total For Average Test Times pts/pyperformance-1.0.2 crypto_pyaes Benchmark: crypto_pyaes pts/pyperformance-1.0.2 django_template Benchmark: django_template pts/pyperformance-1.0.2 json_loads Benchmark: json_loads pts/pyperformance-1.0.2 regex_compile Benchmark: regex_compile pts/quantlib-1.0.0 pts/relion-1.0.1 --iter 1 --cpu --j 2 Test: Basic - Device: CPU pts/rodinia-1.3.2 OMP_LAVAMD Test: OpenMP LavaMD pts/simdjson-2.0.1 partial_tweets Throughput Test: PartialTweets pts/simdjson-2.0.1 large_random Throughput Test: LargeRandom pts/simdjson-2.0.1 distinct_user_id Throughput Test: DistinctUserID pts/simdjson-2.0.1 top_tweet Throughput Test: TopTweet pts/tachyon-1.3.0 Total Time pts/build-godot-1.0.0 Time To Compile pts/build-linux-kernel-1.14.0 defconfig Build: defconfig pts/build-linux-kernel-1.14.0 allmodconfig Build: allmodconfig pts/build-llvm-1.4.0 Ninja Build System: Ninja pts/build-llvm-1.4.0 Build System: Unix Makefiles pts/build-nodejs-1.2.0 Time To Compile pts/wrf-1.0.1 -i conus 2.5km Input: conus 2.5km pts/incompact3d-2.0.2 input_193_nodes.i3d Input: input.i3d 193 Cells Per Direction pts/incompact3d-2.0.2 input.i3d Input: X3D-benchmarking input.i3d