AMD EPYC 7773X Linux Benchmarks

Benchmarks for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2203262-NE-AMDEPYC7770
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BLAS (Basic Linear Algebra Sub-Routine) Tests 4 Tests
C++ Boost Tests 4 Tests
Chess Test Suite 5 Tests
Timed Code Compilation 9 Tests
C/C++ Compiler Tests 11 Tests
Compression Tests 2 Tests
CPU Massive 30 Tests
Creator Workloads 23 Tests
Cryptography 2 Tests
Database Test Suite 2 Tests
Encoding 3 Tests
Fortran Tests 6 Tests
Game Development 7 Tests
HPC - High Performance Computing 23 Tests
Common Kernel Benchmarks 4 Tests
LAPACK (Linear Algebra Pack) Tests 2 Tests
Linear Algebra 2 Tests
Machine Learning 4 Tests
Molecular Dynamics 8 Tests
MPI Benchmarks 7 Tests
Multi-Core 43 Tests
NVIDIA GPU Compute 6 Tests
Intel oneAPI 6 Tests
OpenCL 2 Tests
OpenMPI Tests 16 Tests
Programmer / Developer System Benchmarks 11 Tests
Python 2 Tests
Quantum Mechanics 2 Tests
Raytracing 5 Tests
Renderers 10 Tests
Scientific Computing 12 Tests
Server 3 Tests
Server CPU Tests 20 Tests
Texture Compression 3 Tests
Video Encoding 3 Tests
Common Workstation Benchmarks 4 Tests

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EPYC 7773X
March 25 2022
  8 Hours, 9 Minutes
AMD EPYC 7773X
March 25 2022
  6 Hours, 42 Minutes
AMD 7773X
March 25 2022
  8 Hours, 9 Minutes
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  7 Hours, 40 Minutes

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AMD EPYC 7773X Linux Benchmarks Suite 1.0.0 System Test suite extracted from AMD EPYC 7773X Linux Benchmarks. pts/cpuminer-opt-1.5.1 -a minotaur Algorithm: Ringcoin pts/onednn-1.7.0 --matmul --batch=inputs/matmul/shapes_transformer --cfg=u8s8f32 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.7.0 --ip --batch=inputs/ip/shapes_1d --cfg=u8s8f32 --engine=cpu Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU pts/onnx-1.3.0 super_resolution/super_resolution.onnx -e cpu Model: super-resolution-10 - Device: CPU pts/cpuminer-opt-1.5.1 -a deep Algorithm: Deepcoin pts/onnx-1.3.0 yolov4/yolov4.onnx -e cpu Model: yolov4 - Device: CPU pts/cpuminer-opt-1.5.1 -a m7m Algorithm: Magi pts/npb-1.4.5 ep.D Test / Class: EP.D pts/cpuminer-opt-1.5.1 -a sha256t Algorithm: Triple SHA-256, Onecoin pts/pyhpc-3.0.0 --device cpu -b pytorch -s 4194304 benchmarks/equation_of_state/ Device: CPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Equation of State pts/svt-av1-2.4.0 --preset 12 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 12 - Input: Bosphorus 1080p pts/rodinia-1.3.2 OMP_HOTSPOT3D Test: OpenMP HotSpot3D pts/graph500-1.0.1 26 Scale: 26 pts/pyhpc-3.0.0 --device cpu -b jax -s 4194304 benchmarks/equation_of_state/ Device: CPU - Backend: JAX - Project Size: 4194304 - Benchmark: Equation of State pts/cpuminer-opt-1.5.1 -a skein Algorithm: Skeincoin pts/svt-hevc-1.2.0 -encMode 7 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: 7 - Input: Bosphorus 1080p pts/askap-2.1.0 tConvolveOMP Test: tConvolve OpenMP - Gridding pts/onednn-1.7.0 --ip --batch=inputs/ip/shapes_3d --cfg=u8s8f32 --engine=cpu Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU pts/cpuminer-opt-1.5.1 -a sha256q Algorithm: Quad SHA-256, Pyrite pts/luxcorerender-1.4.0 RainbowColorsAndPrism/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: Rainbow Colors and Prism - Acceleration: CPU pts/rodinia-1.3.2 OMP_LEUKOCYTE Test: OpenMP Leukocyte pts/cpuminer-opt-1.5.1 -a myr-gr Algorithm: Myriad-Groestl pts/incompact3d-2.0.2 input_193_nodes.i3d Input: input.i3d 193 Cells Per Direction pts/onnx-1.3.0 model/test_shufflenetv2/model.onnx -e cpu Model: shufflenet-v2-10 - Device: CPU pts/mt-dgemm-1.2.0 Sustained Floating-Point Rate pts/npb-1.4.5 sp.B Test / Class: SP.B pts/pyhpc-3.0.0 --device cpu -b tensorflow -s 4194304 benchmarks/equation_of_state/ Device: CPU - Backend: TensorFlow - Project Size: 4194304 - Benchmark: Equation of State pts/lczero-1.6.0 -b blas Backend: BLAS pts/onednn-1.7.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU pts/rodinia-1.3.2 OMP_STREAMCLUSTER Test: OpenMP Streamcluster pts/luxcorerender-1.4.0 OrangeJuice/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: Orange Juice - Acceleration: CPU pts/pyhpc-3.0.0 --device cpu -b pytorch -s 4194304 benchmarks/isoneutral_mixing/ Device: CPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Isoneutral Mixing pts/stress-ng-1.4.0 --switch 0 Test: Context Switching pts/npb-1.4.5 is.D Test / Class: IS.D pts/pyhpc-3.0.0 --device cpu -b jax -s 1048576 benchmarks/equation_of_state/ Device: CPU - Backend: JAX - Project Size: 1048576 - Benchmark: Equation of State pts/pgbench-1.11.1 -s 100 -c 500 Scaling Factor: 100 - Clients: 500 - Mode: Read Write pts/pgbench-1.11.1 -s 100 -c 500 Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency pts/stockfish-1.3.0 Total Time pts/compress-pbzip2-1.6.0 FreeBSD-13.0-RELEASE-amd64-memstick.img Compression pts/cpuminer-opt-1.5.1 -a blake2s Algorithm: Blake-2 S pts/openfoam-1.0.1 Motorbike 150 60 60 Input: Motorbike 30M pts/onednn-1.7.0 --matmul --batch=inputs/matmul/shapes_transformer --cfg=f32 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU pts/pyhpc-3.0.0 --device cpu -b jax -s 1048576 benchmarks/isoneutral_mixing/ Device: CPU - Backend: JAX - Project Size: 1048576 - Benchmark: Isoneutral Mixing pts/kvazaar-1.1.1 -i Bosphorus_3840x2160.y4m --preset ultrafast Video Input: Bosphorus 4K - Video Preset: Ultra Fast pts/npb-1.4.5 lu.C Test / Class: LU.C pts/pyhpc-3.0.0 --device cpu -b pytorch -s 1048576 benchmarks/equation_of_state/ Device: CPU - Backend: PyTorch - Project Size: 1048576 - Benchmark: Equation of State pts/svt-av1-2.4.0 --preset 10 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 10 - Input: Bosphorus 1080p pts/npb-1.4.5 ep.C Test / Class: EP.C pts/stress-ng-1.4.0 --io-uring 0 Test: IO_uring pts/onednn-1.7.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU pts/svt-av1-2.4.0 --preset 4 -n 160 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 4 - Input: Bosphorus 1080p pts/svt-av1-2.4.0 --preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 8 - Input: Bosphorus 4K pts/pgbench-1.11.1 -s 100 -c 100 Scaling Factor: 100 - Clients: 100 - Mode: Read Write pts/pgbench-1.11.1 -s 100 -c 100 Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency pts/luxcorerender-1.4.0 DLSC/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: DLSC - Acceleration: CPU pts/pyhpc-3.0.0 --device cpu -b pytorch -s 1048576 benchmarks/isoneutral_mixing/ Device: CPU - Backend: PyTorch - Project Size: 1048576 - Benchmark: Isoneutral Mixing pts/pgbench-1.11.1 -s 100 -c 50 Scaling Factor: 100 - Clients: 50 - Mode: Read Write pts/pgbench-1.11.1 -s 100 -c 50 Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency pts/luxcorerender-1.4.0 DanishMood/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: Danish Mood - Acceleration: CPU pts/pgbench-1.11.1 -s 1000 -c 500 -S Scaling Factor: 1000 - Clients: 500 - Mode: Read Only - Average Latency pts/pgbench-1.11.1 -s 1000 -c 500 -S Scaling Factor: 1000 - Clients: 500 - Mode: Read Only pts/svt-av1-2.4.0 --preset 8 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 8 - Input: Bosphorus 1080p pts/npb-1.4.5 cg.C Test / Class: CG.C pts/luxcorerender-1.4.0 LuxCore2.1Benchmark/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: LuxCore Benchmark - Acceleration: CPU pts/embree-1.2.1 pathtracer -c asian_dragon/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon pts/svt-av1-2.4.0 --preset 10 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 10 - Input: Bosphorus 4K pts/pyhpc-3.0.0 --device cpu -b numba -s 1048576 benchmarks/isoneutral_mixing/ Device: CPU - Backend: Numba - Project Size: 1048576 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b numba -s 4194304 benchmarks/isoneutral_mixing/ Device: CPU - Backend: Numba - Project Size: 4194304 - Benchmark: Isoneutral Mixing pts/toybrot-1.2.0 raymarched/STDTASKS/rmSTD_TASKS Implementation: C++ Tasks pts/compress-7zip-1.8.0 Test: Compression Rating pts/svt-hevc-1.2.0 -encMode 10 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: 10 - Input: Bosphorus 1080p pts/pyhpc-3.0.0 --device cpu -b jax -s 4194304 benchmarks/isoneutral_mixing/ Device: CPU - Backend: JAX - Project Size: 4194304 - Benchmark: Isoneutral Mixing pts/asmfish-1.1.2 1024 Hash Memory, 26 Depth pts/povray-1.2.1 Trace Time pts/v-ray-1.3.0 -m vray Mode: CPU pts/lczero-1.6.0 -b eigen Backend: Eigen pts/pyhpc-3.0.0 --device cpu -b numpy -s 1048576 benchmarks/isoneutral_mixing/ Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Isoneutral Mixing pts/cloverleaf-1.1.0 Lagrangian-Eulerian Hydrodynamics pts/build-mplayer-1.5.0 Time To Compile pts/build-gem5-1.0.0 Time To Compile pts/pgbench-1.11.1 -s 100 -c 250 Scaling Factor: 100 - Clients: 250 - Mode: Read Write pts/pgbench-1.11.1 -s 100 -c 250 Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency pts/askap-2.1.0 tConvolveMPI Test: tConvolve MPI - Gridding pts/ttsiod-renderer-1.7.0 Phong Rendering With Soft-Shadow Mapping pts/onednn-1.7.0 --conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU pts/kvazaar-1.1.1 -i Bosphorus_3840x2160.y4m --preset veryfast Video Input: Bosphorus 4K - Video Preset: Very Fast pts/onednn-1.7.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU pts/svt-av1-2.4.0 --preset 4 -n 160 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 4 - Input: Bosphorus 4K pts/build2-1.1.0 Time To Compile pts/pyhpc-3.0.0 --device cpu -b numpy -s 4194304 benchmarks/isoneutral_mixing/ Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral Mixing pts/rays1bench-1.0.0 Large Scene pts/svt-av1-2.4.0 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K pts/pgbench-1.11.1 -s 100 -c 50 -S Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency pts/blender-3.0.0 -b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE Blend File: Pabellon Barcelona - Compute: CPU-Only pts/qe-1.3.1 ausurf.in Input: AUSURF112 pts/incompact3d-2.0.2 input_129_nodes.i3d Input: input.i3d 129 Cells Per Direction pts/gromacs-1.6.0 mpi-build water-cut1.0_GMX50_bare/1536 Implementation: MPI CPU - Input: water_GMX50_bare pts/pgbench-1.11.1 -s 1000 -c 250 -S Scaling Factor: 1000 - Clients: 250 - Mode: Read Only - Average Latency pts/onednn-1.7.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU pts/pgbench-1.11.1 -s 100 -c 250 -S Scaling Factor: 100 - Clients: 250 - Mode: Read Only pts/pgbench-1.11.1 -s 1000 -c 100 Scaling Factor: 1000 - Clients: 100 - Mode: Read Write - Average Latency pts/pgbench-1.11.1 -s 1000 -c 100 Scaling Factor: 1000 - Clients: 100 - Mode: Read Write pts/stress-ng-1.4.0 --atomic 0 Test: Atomic pts/npb-1.4.5 ft.C Test / Class: FT.C pts/pgbench-1.11.1 -s 100 -c 500 -S Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency pts/pgbench-1.11.1 -s 100 -c 250 -S Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency pts/numpy-1.2.1 pts/stress-ng-1.4.0 --str 0 Test: Glibc C String Functions pts/pgbench-1.11.1 -s 100 -c 500 -S Scaling Factor: 100 - Clients: 500 - Mode: Read Only pts/pyhpc-3.0.0 --device cpu -b aesara -s 4194304 benchmarks/equation_of_state/ Device: CPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Equation of State pts/pgbench-1.11.1 -s 1000 -c 250 -S Scaling Factor: 1000 - Clients: 250 - Mode: Read Only pts/lulesh-1.1.1 pts/build-llvm-1.4.0 Ninja Build System: Ninja pts/pgbench-1.11.1 -s 1000 -c 50 -S Scaling Factor: 1000 - Clients: 50 - Mode: Read Only pts/rodinia-1.3.2 OMP_CFD Test: OpenMP CFD Solver pts/embree-1.2.1 pathtracer_ispc -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon Obj pts/pgbench-1.11.1 -s 100 -c 100 -S Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency pts/pgbench-1.11.1 -s 100 -c 100 -S Scaling Factor: 100 - Clients: 100 - Mode: Read Only pts/npb-1.4.5 mg.C Test / Class: MG.C pts/ospray-2.9.0 --benchmark_filter=particle_volume/pathtracer/real_time Benchmark: particle_volume/pathtracer/real_time pts/build-nodejs-1.1.1 Time To Compile pts/build-llvm-1.4.0 Build System: Unix Makefiles pts/pgbench-1.11.1 -s 1000 -c 100 -S Scaling Factor: 1000 - Clients: 100 - Mode: Read Only - Average Latency pts/cpuminer-opt-1.5.1 -a allium Algorithm: Garlicoin pts/onednn-1.7.0 --ip --batch=inputs/ip/shapes_1d --cfg=f32 --engine=cpu Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU pts/rocksdb-1.2.0 --benchmarks="readwhilewriting" Test: Read While Writing pts/astcenc-1.3.1 -exhaustive Preset: Exhaustive pts/toybrot-1.2.0 raymarched/STDTHREADS/rmSTD_THREADS Implementation: C++ Threads pts/ospray-studio-1.0.1 --cameras 3 3 --resolution 1920 1080 --spp 1 --renderer pathtracer Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer pts/m-queens-1.1.0 Time To Solve pts/pgbench-1.11.1 -s 1000 -c 250 Scaling Factor: 1000 - Clients: 250 - Mode: Read Write - Average Latency pts/pgbench-1.11.1 -s 1000 -c 250 Scaling Factor: 1000 - Clients: 250 - Mode: Read Write pts/stress-ng-1.4.0 --numa 0 Test: NUMA pts/pgbench-1.11.1 -s 100 -c 50 -S Scaling Factor: 100 - Clients: 50 - Mode: Read Only pts/pgbench-1.11.1 -s 1000 -c 50 Scaling Factor: 1000 - Clients: 50 - Mode: Read Write pts/stress-ng-1.4.0 --mmap 0 Test: MMAP pts/toktx-1.0.1 --uastc 3 --zcmp 19 Settings: UASTC 3 + Zstd Compression 19 pts/draco-1.5.0 -i church.ply Model: Church Facade pts/draco-1.5.0 -i lion.ply Model: Lion pts/pyhpc-3.0.0 --device cpu -b numba -s 4194304 benchmarks/equation_of_state/ Device: CPU - Backend: Numba - Project Size: 4194304 - Benchmark: Equation of State pts/pgbench-1.11.1 -s 1000 -c 100 -S Scaling Factor: 1000 - Clients: 100 - Mode: Read Only pts/primesieve-1.8.0 1e12 Prime Number Generation pts/astcenc-1.3.1 -medium Preset: Medium pts/appleseed-1.0.1 emily.appleseed Scene: Emily pts/pgbench-1.11.1 -s 1000 -c 50 Scaling Factor: 1000 - Clients: 50 - Mode: Read Write - Average Latency pts/build-godot-1.0.0 Time To Compile pts/nwchem-1.1.1 Input: C240 Buckyball pts/cpuminer-opt-1.5.1 -a x25x Algorithm: x25x pts/embree-1.2.1 pathtracer -c crown/crown.ecs Binary: Pathtracer - Model: Crown pts/pyhpc-3.0.0 --device cpu -b numpy -s 1048576 benchmarks/equation_of_state/ Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Equation of State pts/openfoam-1.0.1 Motorbike 300 120 120 Input: Motorbike 60M pts/toybrot-1.2.0 raymarched/TBB/rmTBB Implementation: TBB pts/toktx-1.0.1 --zcmp 19 Settings: Zstd Compression 19 pts/rocksdb-1.2.0 --benchmarks="readrandom" Test: Random Read pts/ospray-studio-1.0.1 --cameras 2 2 --resolution 1920 1080 --spp 16 --renderer pathtracer Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer pts/ospray-studio-1.0.1 --cameras 3 3 --resolution 1920 1080 --spp 32 --renderer pathtracer Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer pts/rodinia-1.3.2 OMP_LAVAMD Test: OpenMP LavaMD pts/build-wasmer-1.1.0 Time To Compile pts/stress-ng-1.4.0 --sock 0 Test: Socket Activity pts/cpuminer-opt-1.5.1 -a lbry Algorithm: LBC, LBRY Credits pts/embree-1.2.1 pathtracer_ispc -c crown/crown.ecs Binary: Pathtracer ISPC - Model: Crown pts/liquid-dsp-1.0.0 -n 64 -b 256 -f 57 Threads: 64 - Buffer Length: 256 - Filter Length: 57 pts/ngspice-1.0.0 ~/iscas85Circuits/85/c2670/c2670_ann.net Circuit: C2670 pts/npb-1.4.5 sp.C Test / Class: SP.C pts/onednn-1.7.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU pts/openssl-3.0.1 rsa4096 Algorithm: RSA4096 pts/pyhpc-3.0.0 --device cpu -b numpy -s 4194304 benchmarks/equation_of_state/ Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of State pts/incompact3d-2.0.2 input.i3d Input: X3D-benchmarking input.i3d pts/blender-3.0.0 -b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE Blend File: Barbershop - Compute: CPU-Only pts/onednn-1.7.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU pts/rocksdb-1.2.0 --benchmarks="updaterandom" Test: Update Random pts/ospray-2.9.0 --benchmark_filter=gravity_spheres_volume/dim_512/scivis/real_time Benchmark: gravity_spheres_volume/dim_512/scivis/real_time pts/ospray-2.9.0 --benchmark_filter=particle_volume/scivis/real_time Benchmark: particle_volume/scivis/real_time pts/onednn-1.7.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU pts/ospray-studio-1.0.1 --cameras 1 1 --resolution 1920 1080 --spp 16 --renderer pathtracer Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer pts/onednn-1.7.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU pts/stress-ng-1.4.0 --sendfile 0 Test: SENDFILE pts/build-gcc-1.3.0 Time To Compile pts/brl-cad-1.2.0 VGR Performance Metric pts/ospray-2.9.0 --benchmark_filter=particle_volume/ao/real_time Benchmark: particle_volume/ao/real_time pts/liquid-dsp-1.0.0 -n 128 -b 256 -f 57 Threads: 128 - Buffer Length: 256 - Filter Length: 57 pts/pyhpc-3.0.0 --device cpu -b aesara -s 1048576 benchmarks/isoneutral_mixing/ Device: CPU - Backend: Aesara - Project Size: 1048576 - Benchmark: Isoneutral Mixing pts/onednn-1.7.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU pts/toktx-1.0.1 --zcmp 9 Settings: Zstd Compression 9 pts/ospray-studio-1.0.1 --cameras 1 1 --resolution 1920 1080 --spp 32 --renderer pathtracer Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer pts/embree-1.2.1 pathtracer_ispc -c asian_dragon/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon pts/ospray-2.9.0 --benchmark_filter=gravity_spheres_volume/dim_512/ao/real_time Benchmark: gravity_spheres_volume/dim_512/ao/real_time pts/blender-3.0.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE Blend File: Classroom - Compute: CPU-Only pts/stress-ng-1.4.0 --malloc 0 Test: Malloc pts/quantlib-1.0.0 pts/onednn-1.7.0 --ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU pts/rocksdb-1.2.0 --benchmarks="readrandomwriterandom" Test: Read Random Write Random pts/askap-2.1.0 tConvolveMT Test: tConvolve MT - Degridding pts/stress-ng-1.4.0 --memcpy 0 Test: Memory Copying pts/onednn-1.7.0 --conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU pts/stress-ng-1.4.0 --memfd 0 Test: MEMFD pts/askap-2.1.0 tConvolveMT Test: tConvolve MT - Gridding pts/ospray-studio-1.0.1 --cameras 1 1 --resolution 1920 1080 --spp 1 --renderer pathtracer Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer pts/ospray-studio-1.0.1 --cameras 2 2 --resolution 1920 1080 --spp 1 --renderer pathtracer Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer pts/npb-1.4.5 bt.C Test / Class: BT.C pts/toybrot-1.2.0 raymarched/OMP/rmOpenMP Implementation: OpenMP pts/pgbench-1.11.1 -s 1000 -c 500 Scaling Factor: 1000 - Clients: 500 - Mode: Read Write - Average Latency pts/pgbench-1.11.1 -s 1000 -c 500 Scaling Factor: 1000 - Clients: 500 - Mode: Read Write pts/ospray-studio-1.0.1 --cameras 2 2 --resolution 1920 1080 --spp 32 --renderer pathtracer Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer pts/openssl-3.0.1 sha256 Algorithm: SHA256 pts/ngspice-1.0.0 ~/iscas85Circuits/85/c7552p/c7552_ann.net Circuit: C7552 pts/amg-1.1.0 pts/build-linux-kernel-1.13.0 defconfig Build: defconfig pts/appleseed-1.0.1 disney_material_1.appleseed Scene: Disney Material pts/compress-7zip-1.8.0 Test: Decompression Rating pts/namd-1.2.1 ATPase Simulation - 327,506 Atoms pts/stress-ng-1.4.0 --qsort 0 Test: Glibc Qsort Data Sorting pts/minife-1.0.0 -‐nx 264 --ny 256 -‐nz 256 Problem Size: Small pts/ospray-studio-1.0.1 --cameras 3 3 --resolution 1920 1080 --spp 16 --renderer pathtracer Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer pts/toktx-1.0.1 --uastc 4 --zcmp 19 Settings: UASTC 4 + Zstd Compression 19 pts/ospray-2.9.0 --benchmark_filter=gravity_spheres_volume/dim_512/pathtracer/real_time Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time pts/n-queens-1.2.1 Elapsed Time pts/gpaw-1.1.0 carbon-nanotube Input: Carbon Nanotube pts/tachyon-1.3.0 Total Time pts/pyhpc-3.0.0 --device cpu -b aesara -s 4194304 benchmarks/isoneutral_mixing/ Device: CPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Isoneutral Mixing pts/stress-ng-1.4.0 --vecmath 0 Test: Vector Math pts/build-linux-kernel-1.13.0 allmodconfig Build: allmodconfig pts/appleseed-1.0.1 material_tester_ambient_occlusion.appleseed Scene: Material Tester pts/embree-1.2.1 pathtracer -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon Obj pts/stress-ng-1.4.0 --msg 0 Test: System V Message Passing pts/astcenc-1.3.1 -thorough Preset: Thorough pts/stress-ng-1.4.0 --cpu 0 --cpu-method all Test: CPU Stress pts/toktx-1.0.1 --uastc 3 Settings: UASTC 3 pts/hpcg-1.2.1 pts/blender-3.0.0 -b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE Blend File: Fishy Cat - Compute: CPU-Only pts/rocksdb-1.2.0 --benchmarks="fillseq" Test: Sequential Fill pts/onednn-1.7.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU pts/stress-ng-1.4.0 --crypt 0 Test: Crypto pts/stress-ng-1.4.0 --fork 0 Test: Forking pts/stress-ng-1.4.0 --matrix 0 Test: Matrix Math pts/stress-ng-1.4.0 --sem 0 Test: Semaphores pts/pyhpc-3.0.0 --device cpu -b tensorflow -s 1048576 benchmarks/equation_of_state/ Device: CPU - Backend: TensorFlow - Project Size: 1048576 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b aesara -s 1048576 benchmarks/equation_of_state/ Device: CPU - Backend: Aesara - Project Size: 1048576 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b numba -s 1048576 benchmarks/equation_of_state/ Device: CPU - Backend: Numba - Project Size: 1048576 - Benchmark: Equation of State pts/onnx-1.3.0 fcn-resnet101-11/model.onnx -e cpu Model: fcn-resnet101-11 - Device: CPU pts/blender-3.0.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE Blend File: BMW27 - Compute: CPU-Only pts/stress-ng-1.4.0 --cache 0 Test: CPU Cache pts/pgbench-1.11.1 -s 1000 -c 50 -S Scaling Factor: 1000 - Clients: 50 - Mode: Read Only - Average Latency pts/askap-2.1.0 tHogbomCleanOMP Test: Hogbom Clean OpenMP pts/askap-2.1.0 tConvolveOMP Test: tConvolve OpenMP - Degridding pts/askap-2.1.0 tConvolveMPI Test: tConvolve MPI - Degridding pts/openvkl-1.1.0 vklBenchmark --benchmark_filter=scalar Benchmark: vklBenchmark Scalar pts/openvkl-1.1.0 vklBenchmark --benchmark_filter=ispc Benchmark: vklBenchmark ISPC pts/oidn-1.4.0 -r RTLightmap.hdr.4096x4096 Run: RTLightmap.hdr.4096x4096 pts/oidn-1.4.0 -r RT.ldr_alb_nrm.3840x2160 Run: RT.ldr_alb_nrm.3840x2160 pts/oidn-1.4.0 -r RT.hdr_alb_nrm.3840x2160 Run: RT.hdr_alb_nrm.3840x2160 pts/onednn-1.7.0 --matmul --batch=inputs/matmul/shapes_transformer --cfg=bf16bf16bf16 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-1.7.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=bf16bf16bf16 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-1.7.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=bf16bf16bf16 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-1.7.0 --conv --batch=inputs/conv/shapes_auto --cfg=bf16bf16bf16 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-1.7.0 --ip --batch=inputs/ip/shapes_3d --cfg=bf16bf16bf16 --engine=cpu Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-1.7.0 --ip --batch=inputs/ip/shapes_1d --cfg=bf16bf16bf16 --engine=cpu Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU pts/pyhpc-3.0.0 --device cpu -b tensorflow -s 4194304 benchmarks/isoneutral_mixing/ Device: CPU - Backend: TensorFlow - Project Size: 4194304 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b tensorflow -s 1048576 benchmarks/isoneutral_mixing/ Device: CPU - Backend: TensorFlow - Project Size: 1048576 - Benchmark: Isoneutral Mixing pts/stress-ng-1.4.0 --rdrand 0 Test: RdRand pts/parboil-1.2.1 mri-gridding omp_base small Test: OpenMP MRI Gridding pts/parboil-1.2.1 stencil omp_base default Test: OpenMP Stencil pts/parboil-1.2.1 mri-q omp_base large Test: OpenMP MRI-Q pts/parboil-1.2.1 cutcp omp_base large Test: OpenMP CUTCP pts/parboil-1.2.1 lbm omp_cpu long Test: OpenMP LBM