Core i9 10980XE Pop OS Skylake Opt Test

Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.30 BIOS) and NVIDIA NV132 11GB on Pop 20.04 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 2007118-NE-COREI910948
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HPC - High Performance Computing 18 Tests
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Pop OS 20.04 Default
July 10 2020
  7 Hours, 1 Minute
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July 10 2020
  7 Hours, 5 Minutes
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Core i9 10980XE Pop OS Skylake Opt Test Suite 1.0.0 System Test suite extracted from Core i9 10980XE Pop OS Skylake Opt Test. pts/plaidml-1.0.4 --no-fp16 --no-train densenet201 CPU FP16: No - Mode: Inference - Network: DenseNet 201 - Device: CPU pts/yafaray-1.0.0 Total Time For Sample Scene pts/plaidml-1.0.4 --no-fp16 --no-train resnet50 CPU FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU pts/daphne-1.0.0 OpenMP points2image Backend: OpenMP - Kernel: Points2Image pts/brl-cad-1.1.0 VGR Performance Metric pts/ai-benchmark-1.0.0 Device AI Score pts/ai-benchmark-1.0.0 Device Training Score pts/ai-benchmark-1.0.0 Device Inference Score pts/plaidml-1.0.4 --no-fp16 --no-train inception_v3 CPU FP16: No - Mode: Inference - Network: Inception V3 - Device: CPU pts/hpcg-1.2.1 pts/numpy-1.2.0 pts/povray-1.2.1 Trace Time pts/plaidml-1.0.4 --no-fp16 --no-train mobilenet CPU FP16: No - Mode: Inference - Network: Mobilenet - Device: CPU pts/svt-av1-2.2.1 -enc-mode 0 -n 20 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Enc Mode 0 - Input: 1080p pts/scikit-learn-1.1.0 pts/himeno-1.3.0 Poisson Pressure Solver pts/dav1d-1.6.0 -i chimera_10b_1080p.ivf Video Input: Chimera 1080p 10-bit pts/rodinia-1.3.1 OMP_LAVAMD Test: OpenMP LavaMD pts/gromacs-1.3.0 Water Benchmark pts/pyperformance-1.0.2 python_startup Benchmark: python_startup pts/rodinia-1.3.1 OMP_HOTSPOT3D Test: OpenMP HotSpot3D pts/mrbayes-1.4.0 Primate Phylogeny Analysis pts/plaidml-1.0.4 --no-fp16 --no-train vgg19 CPU FP16: No - Mode: Inference - Network: VGG19 - Device: CPU pts/npb-1.4.1 ep.D Test / Class: EP.D pts/numenta-nab-1.1.0 -d earthgeckoSkyline Detector: Earthgecko Skyline pts/plaidml-1.0.4 --no-fp16 --no-train vgg16 CPU FP16: No - Mode: Inference - Network: VGG16 - Device: CPU pts/blosc-1.0.0 blosclz Compressor: blosclz pts/montage-1.0.0 Mosaic of M17, K band, 1.5 deg x 1.5 deg pts/stockfish-1.1.1 Total Time pts/avifenc-1.0.0 -s 0 Encoder Speed: 0 pts/pyperformance-1.0.2 raytrace Benchmark: raytrace pts/npb-1.4.1 bt.C Test / Class: BT.C pts/rodinia-1.3.1 OMP_LEUKOCYTE Test: OpenMP Leukocyte pts/john-the-ripper-1.7.2 --format=md5crypt Test: MD5 pts/onednn-1.5.0 --ip --batch=inputs/ip/ip_all --cfg=bf16bf16bf16 --engine=cpu Harness: IP Batch All - Data Type: bf16bf16bf16 - Engine: CPU pts/sqlite-speedtest-1.0.0 Timed Time - Size 1,000 pts/pyperformance-1.0.2 2to3 Benchmark: 2to3 pts/compress-zstd-1.2.0 -b19 Compression Level: 19 pts/npb-1.4.1 lu.C Test / Class: LU.C system/hugin-1.0.0 Panorama Photo Assistant + Stitching Time pts/numenta-nab-1.1.0 -d expose Detector: EXPoSE pts/pyperformance-1.0.2 go Benchmark: go pts/avifenc-1.0.0 -s 2 Encoder Speed: 2 pts/cython-bench-1.0.0 pts/mt-dgemm-1.2.0 Sustained Floating-Point Rate pts/coremark-1.0.0 CoreMark Size 666 - Iterations Per Second pts/pyperformance-1.0.2 float Benchmark: float pts/aom-av1-2.1.1 --cpu-used=6 --rt Encoder Mode: Speed 6 Realtime pts/pyperformance-1.0.2 chaos Benchmark: chaos pts/pyperformance-1.0.2 django_template Benchmark: django_template pts/pyperformance-1.0.2 crypto_pyaes Benchmark: crypto_pyaes pts/redis-1.2.0 -t get Test: GET pts/glibc-bench-1.6.1 bench-ffs Benchmark: ffs pts/npb-1.4.1 sp.B Test / Class: SP.B pts/glibc-bench-1.6.1 bench-exp Benchmark: exp pts/john-the-ripper-1.7.2 --format=bcrypt Test: Blowfish pts/numenta-nab-1.1.0 -d bayesChangePt Detector: Bayesian Changepoint pts/aom-av1-2.1.1 --cpu-used=6 --limit=80 Encoder Mode: Speed 6 Two-Pass pts/mlpack-1.0.1 SCIKIT_SVM Benchmark: scikit_svm pts/compress-zstd-1.2.0 -b3 Compression Level: 3 pts/pyperformance-1.0.2 regex_compile Benchmark: regex_compile pts/plaidml-1.0.4 --no-fp16 --no-train imdb_lstm CPU FP16: No - Mode: Inference - Network: IMDB LSTM - Device: CPU pts/pyperformance-1.0.2 pathlib Benchmark: pathlib pts/daphne-1.0.0 OpenMP ndt_mapping Backend: OpenMP - Kernel: NDT Mapping pts/pyperformance-1.0.2 pickle_pure_python Benchmark: pickle_pure_python pts/npb-1.4.1 ft.C Test / Class: FT.C pts/aom-av1-2.1.1 --cpu-used=4 --limit=40 Encoder Mode: Speed 4 Two-Pass pts/onednn-1.5.0 --deconv --batch=inputs/deconv/deconv_1d --cfg=bf16bf16bf16 --engine=cpu Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16 - Engine: CPU pts/pybench-1.1.3 Total For Average Test Times pts/pyperformance-1.0.2 json_loads Benchmark: json_loads pts/pyperformance-1.0.2 nbody Benchmark: nbody pts/glibc-bench-1.6.1 bench-sincos Benchmark: sincos pts/glibc-bench-1.6.1 bench-cos Benchmark: cos pts/glibc-bench-1.6.1 bench-sin Benchmark: sin pts/rodinia-1.3.1 OMP_STREAMCLUSTER Test: OpenMP Streamcluster system/ocrmypdf-1.0.0 Processing 60 Page PDF Document pts/dav1d-1.6.0 -i chimera_8b_1080p.ivf Video Input: Chimera 1080p pts/aom-av1-2.1.1 --cpu-used=8 --rt Encoder Mode: Speed 8 Realtime pts/daphne-1.0.0 OpenMP euclidean_cluster Backend: OpenMP - Kernel: Euclidean Cluster pts/svt-av1-2.2.1 -enc-mode 4 -n 80 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Enc Mode 4 - Input: 1080p pts/dav1d-1.6.0 -i summer_nature_4k.ivf Video Input: Summer Nature 4K pts/redis-1.2.0 -t set Test: SET pts/mafft-1.5.0 Multiple Sequence Alignment pts/onednn-1.5.0 --ip --batch=inputs/ip/ip_1d --cfg=bf16bf16bf16 --engine=cpu Harness: IP Batch 1D - Data Type: bf16bf16bf16 - Engine: CPU pts/numenta-nab-1.1.0 -d relativeEntropy Detector: Relative Entropy pts/onednn-1.5.0 --matmul --batch=inputs/matmul/shapes_transformer --cfg=bf16bf16bf16 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU pts/rodinia-1.3.1 OMP_CFD Test: OpenMP CFD Solver pts/glibc-bench-1.6.1 bench-asinh Benchmark: asinh pts/glibc-bench-1.6.1 bench-ffsll Benchmark: ffsll pts/glibc-bench-1.6.1 bench-sqrt Benchmark: sqrt pts/glibc-bench-1.6.1 bench-log2 Benchmark: log2 pts/glibc-bench-1.6.1 bench-pthread_once Benchmark: pthread_once pts/glibc-bench-1.6.1 bench-tanh Benchmark: tanh pts/glibc-bench-1.6.1 bench-modf Benchmark: modf pts/glibc-bench-1.6.1 bench-sinh Benchmark: sinh pts/glibc-bench-1.6.1 bench-atanh Benchmark: atanh pts/npb-1.4.1 mg.C Test / Class: MG.C pts/svt-av1-2.2.1 -enc-mode 8 -n 320 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Enc Mode 8 - Input: 1080p pts/numenta-nab-1.1.0 -d windowedGaussian Detector: Windowed Gaussian pts/onednn-1.5.0 --conv --batch=inputs/conv/shapes_auto --cfg=bf16bf16bf16 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU pts/dav1d-1.6.0 -i summer_nature_1080p.ivf Video Input: Summer Nature 1080p pts/avifenc-1.0.0 -s 8 Encoder Speed: 8 pts/avifenc-1.0.0 -s 10 Encoder Speed: 10 pts/npb-1.4.1 ep.C Test / Class: EP.C pts/onednn-1.5.0 --deconv --batch=inputs/deconv/deconv_3d --cfg=bf16bf16bf16 --engine=cpu Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16 - Engine: CPU pts/cloverleaf-1.0.0 Lagrangian-Eulerian Hydrodynamics pts/lammps-1.1.0 in.rhodo Model: Rhodopsin Protein