new xeon

Intel Xeon Gold 6421N testing with a Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS) and ASPEED 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 2307311-NE-NEWXEON6232
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C++ Boost Tests 2 Tests
Timed Code Compilation 4 Tests
C/C++ Compiler Tests 3 Tests
CPU Massive 7 Tests
Creator Workloads 3 Tests
Database Test Suite 3 Tests
Fortran Tests 2 Tests
HPC - High Performance Computing 3 Tests
Multi-Core 8 Tests
OpenMPI Tests 5 Tests
Programmer / Developer System Benchmarks 4 Tests
Python Tests 2 Tests
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Server 3 Tests
Server CPU Tests 5 Tests
Common Workstation Benchmarks 2 Tests

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July 30 2023
  5 Hours, 55 Minutes
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July 31 2023
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new xeon Suite 1.0.0 System Test suite extracted from new xeon. pts/cassandra-1.2.0 WRITE Test: Writes pts/blender-3.6.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: BMW27 - Compute: CPU-Only pts/blender-3.6.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Classroom - Compute: CPU-Only pts/blender-3.6.0 -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-3.6.0 -b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Barbershop - Compute: CPU-Only pts/blender-3.6.0 -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/brl-cad-1.5.0 VGR Performance Metric pts/heffte-1.0.0 c2c fftw float 128 128 128 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128 pts/heffte-1.0.0 c2c fftw float 256 256 256 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256 pts/heffte-1.0.0 c2c fftw float 512 512 512 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512 pts/heffte-1.0.0 r2c fftw float 128 128 128 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128 pts/heffte-1.0.0 r2c fftw float 256 256 256 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256 pts/heffte-1.0.0 r2c fftw float 512 512 512 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512 pts/heffte-1.0.0 c2c fftw double 128 128 128 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128 pts/heffte-1.0.0 c2c fftw double 256 256 256 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256 pts/heffte-1.0.0 c2c fftw double 512 512 512 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512 pts/heffte-1.0.0 c2c stock float 128 128 128 Test: c2c - Backend: Stock - Precision: float - X Y Z: 128 pts/heffte-1.0.0 c2c stock float 256 256 256 Test: c2c - Backend: Stock - Precision: float - X Y Z: 256 pts/heffte-1.0.0 c2c stock float 512 512 512 Test: c2c - Backend: Stock - Precision: float - X Y Z: 512 pts/heffte-1.0.0 r2c fftw double 128 128 128 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128 pts/heffte-1.0.0 r2c fftw double 256 256 256 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256 pts/heffte-1.0.0 r2c fftw double 512 512 512 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512 pts/heffte-1.0.0 r2c stock float 128 128 128 Test: r2c - Backend: Stock - Precision: float - X Y Z: 128 pts/heffte-1.0.0 r2c stock float 256 256 256 Test: r2c - Backend: Stock - Precision: float - X Y Z: 256 pts/heffte-1.0.0 r2c stock float 512 512 512 Test: r2c - Backend: Stock - Precision: float - X Y Z: 512 pts/heffte-1.0.0 c2c stock double 128 128 128 Test: c2c - Backend: Stock - Precision: double - X Y Z: 128 pts/heffte-1.0.0 c2c stock double 256 256 256 Test: c2c - Backend: Stock - Precision: double - X Y Z: 256 pts/heffte-1.0.0 c2c stock double 512 512 512 Test: c2c - Backend: Stock - Precision: double - X Y Z: 512 pts/heffte-1.0.0 r2c stock double 128 128 128 Test: r2c - Backend: Stock - Precision: double - X Y Z: 128 pts/heffte-1.0.0 r2c stock double 256 256 256 Test: r2c - Backend: Stock - Precision: double - X Y Z: 256 pts/heffte-1.0.0 r2c stock double 512 512 512 Test: r2c - Backend: Stock - Precision: double - X Y Z: 512 pts/hpcg-1.3.0 --nx=104 --ny=104 --nz=104 --rt=60 X Y Z: 104 104 104 - RT: 60 pts/hpcg-1.3.0 --nx=144 --ny=144 --nz=144 --rt=60 X Y Z: 144 144 144 - RT: 60 pts/hpcg-1.3.0 --nx=160 --ny=160 --nz=160 --rt=60 X Y Z: 160 160 160 - RT: 60 pts/laghos-1.0.0 -p 3 -m data/box01_hex.mesh -rs 2 -tf 5.0 -vis -pa Test: Triple Point Problem pts/laghos-1.0.0 -p 1 -m data/cube_922_hex.mesh -rs 2 -tf 0.6 -no-vis -pa Test: Sedov Blast Wave, ube_922_hex.mesh pts/libxsmm-1.0.1 128 128 128 M N K: 128 pts/libxsmm-1.0.1 256 256 256 M N K: 256 pts/libxsmm-1.0.1 32 32 32 M N K: 32 pts/libxsmm-1.0.1 64 64 64 M N K: 64 pts/liquid-dsp-1.6.0 -n 16 -b 256 -f 32 Threads: 16 - Buffer Length: 256 - Filter Length: 32 pts/liquid-dsp-1.6.0 -n 16 -b 256 -f 57 Threads: 16 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.6.0 -n 32 -b 256 -f 32 Threads: 32 - Buffer Length: 256 - Filter Length: 32 pts/liquid-dsp-1.6.0 -n 32 -b 256 -f 57 Threads: 32 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.6.0 -n 64 -b 256 -f 32 Threads: 64 - Buffer Length: 256 - Filter Length: 32 pts/liquid-dsp-1.6.0 -n 64 -b 256 -f 57 Threads: 64 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.6.0 -n 16 -b 256 -f 512 Threads: 16 - Buffer Length: 256 - Filter Length: 512 pts/liquid-dsp-1.6.0 -n 32 -b 256 -f 512 Threads: 32 - Buffer Length: 256 - Filter Length: 512 pts/liquid-dsp-1.6.0 -n 64 -b 256 -f 512 Threads: 64 - Buffer Length: 256 - Filter Length: 512 pts/deepsparse-1.5.2 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/deepsparse-1.5.2 zoo:nlp/sentiment_analysis/oberta-base/pytorch/huggingface/sst2/pruned90_quant-none --input_shapes='[1,128]' --scenario async Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.2 zoo:nlp/sentiment_analysis/bert-base/pytorch/huggingface/sst2/12layer_pruned90-none --scenario async Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.2 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-1.5.2 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario async Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.2 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/pruned95_uniform_quant-none --scenario async Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.2 zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/base-none --scenario async Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.2 zoo:nlp/question_answering/obert-large/pytorch/huggingface/squad/base-none --input_shapes='[1,128]' --scenario async Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.2 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-1.5.2 zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/pruned85-none --scenario async Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.2 zoo:nlp/text_classification/distilbert-none/pytorch/huggingface/mnli/base-none --scenario async Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.2 zoo:cv/segmentation/yolact-darknet53/pytorch/dbolya/coco/pruned90-none --scenario async Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.2 zoo:nlp/question_answering/obert-large/pytorch/huggingface/squad/pruned97_quant-none --input_shapes='[1,128]' --scenario async Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.2 zoo:nlp/text_classification/bert-base/pytorch/huggingface/sst2/base-none --input_shapes='[1,128]' --scenario async Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.2 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/openfoam-1.2.0 incompressible/simpleFoam/drivaerFastback/ -m S Input: drivaerFastback, Small Mesh Size - Mesh Time 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 - Mesh Time pts/openfoam-1.2.0 incompressible/simpleFoam/drivaerFastback/ -m M Input: drivaerFastback, Medium Mesh Size - Execution Time pts/palabos-1.0.0 100 Grid Size: 100 pts/palabos-1.0.0 400 Grid Size: 400 pts/palabos-1.0.0 500 Grid Size: 500 pts/memtier-benchmark-1.5.0 -P redis -c 50 --ratio=1:5 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5 pts/memtier-benchmark-1.5.0 -P redis -c 100 --ratio=1:5 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 pts/memtier-benchmark-1.5.0 -P redis -c 50 --ratio=1:10 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 pts/memtier-benchmark-1.5.0 -P redis -c 500 --ratio=1:5 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:5 pts/memtier-benchmark-1.5.0 -P redis -c 100 --ratio=1:10 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 pts/memtier-benchmark-1.5.0 -P redis -c 500 --ratio=1:10 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:10 pts/srsran-2.1.0 tests/benchmarks/phy/upper/downlink_processor_benchmark -R 50000 -P pdsch_scs15_50MHz_256qam_max Test: Downlink Processor Benchmark pts/srsran-2.1.0 tests/benchmarks/phy/upper/channel_processors/pusch_processor_benchmark -m throughput_total -R 100 -P pusch_scs15_50MHz_256qam_max Test: PUSCH Processor Benchmark, Throughput Total pts/srsran-2.1.0 tests/benchmarks/phy/upper/channel_processors/pusch_processor_benchmark -m throughput_thread -R 100 -P pusch_scs15_50MHz_256qam_max -T 1 Test: PUSCH Processor Benchmark, Throughput Thread pts/stress-ng-1.10.0 --hash -1 --no-rand-seed Test: Hash pts/stress-ng-1.10.0 --mmap -1 --no-rand-seed Test: MMAP pts/stress-ng-1.10.0 --numa -1 --no-rand-seed Test: NUMA pts/stress-ng-1.10.0 --pipe -1 --no-rand-seed Test: Pipe pts/stress-ng-1.10.0 --poll -1 --no-rand-seed Test: Poll pts/stress-ng-1.10.0 --zlib -1 --no-rand-seed Test: Zlib pts/stress-ng-1.10.0 --futex -1 --no-rand-seed Test: Futex pts/stress-ng-1.10.0 --memfd -1 --no-rand-seed Test: MEMFD pts/stress-ng-1.10.0 --mutex -1 --no-rand-seed Test: Mutex pts/stress-ng-1.10.0 --atomic -1 --no-rand-seed Test: Atomic pts/stress-ng-1.10.0 --crypt -1 --no-rand-seed Test: Crypto pts/stress-ng-1.10.0 --malloc -1 --no-rand-seed Test: Malloc pts/stress-ng-1.10.0 --clone -1 --no-rand-seed Test: Cloning pts/stress-ng-1.10.0 --fork -1 --no-rand-seed Test: Forking pts/stress-ng-1.10.0 --pthread -1 --no-rand-seed Test: Pthread pts/stress-ng-1.10.0 --tree -1 --tree-method avl --no-rand-seed Test: AVL Tree pts/stress-ng-1.10.0 --io-uring -1 --no-rand-seed Test: IO_uring pts/stress-ng-1.10.0 --sendfile -1 --no-rand-seed Test: SENDFILE pts/stress-ng-1.10.0 --cache -1 --no-rand-seed Test: CPU Cache pts/stress-ng-1.10.0 --cpu -1 --cpu-method all --no-rand-seed Test: CPU Stress pts/stress-ng-1.10.0 --sem -1 --no-rand-seed Test: Semaphores pts/stress-ng-1.10.0 --matrix -1 --no-rand-seed Test: Matrix Math pts/stress-ng-1.10.0 --vecmath -1 --no-rand-seed Test: Vector Math pts/stress-ng-1.10.0 --funccall -1 --no-rand-seed Test: Function Call pts/stress-ng-1.10.0 --rdrand -1 --no-rand-seed Test: x86_64 RdRand pts/stress-ng-1.10.0 --fp -1 --no-rand-seed Test: Floating Point pts/stress-ng-1.10.0 --matrix-3d -1 --no-rand-seed Test: Matrix 3D Math pts/stress-ng-1.10.0 --memcpy -1 --no-rand-seed Test: Memory Copying pts/stress-ng-1.10.0 --vecshuf -1 --no-rand-seed Test: Vector Shuffle pts/stress-ng-1.10.0 --sock -1 --no-rand-seed --sock-zerocopy Test: Socket Activity pts/stress-ng-1.10.0 --vecwide -1 --no-rand-seed Test: Wide Vector Math pts/stress-ng-1.10.0 --switch -1 --no-rand-seed Test: Context Switching pts/stress-ng-1.10.0 --fma -1 --no-rand-seed Test: Fused Multiply-Add pts/stress-ng-1.10.0 --vecfp -1 --no-rand-seed Test: Vector Floating Point pts/stress-ng-1.10.0 --str -1 --no-rand-seed Test: Glibc C String Functions pts/stress-ng-1.10.0 --qsort -1 --no-rand-seed Test: Glibc Qsort Data Sorting pts/stress-ng-1.10.0 --msg -1 --no-rand-seed Test: System V Message Passing pts/build-gdb-1.1.0 Time To Compile pts/build-linux-kernel-1.15.0 defconfig Build: defconfig pts/build-linux-kernel-1.15.0 allmodconfig Build: allmodconfig pts/build-llvm-1.5.0 Ninja Build System: Ninja pts/build-llvm-1.5.0 Build System: Unix Makefiles pts/build-php-1.6.0 Time To Compile pts/vvenc-1.9.1 -i Bosphorus_3840x2160.y4m --preset fast Video Input: Bosphorus 4K - Video Preset: Fast pts/vvenc-1.9.1 -i Bosphorus_3840x2160.y4m --preset faster Video Input: Bosphorus 4K - Video Preset: Faster pts/vvenc-1.9.1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset fast Video Input: Bosphorus 1080p - Video Preset: Fast pts/vvenc-1.9.1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset faster Video Input: Bosphorus 1080p - Video Preset: Faster