ampere-160-cores Suite
1.0.0
System
Test suite extracted from ampere-160-cores .
pts/hpcg-1.2.1
pts/parboil-1.2.1
lbm omp_cpu long
Test: OpenMP LBM
pts/parboil-1.2.1
cutcp omp_base large
Test: OpenMP CUTCP
pts/parboil-1.2.1
stencil omp_base default
Test: OpenMP Stencil
pts/rodinia-1.3.1
OMP_LAVAMD
Test: OpenMP LavaMD
pts/rodinia-1.3.1
OMP_CFD
Test: OpenMP CFD Solver
pts/rodinia-1.3.1
OMP_STREAMCLUSTER
Test: OpenMP Streamcluster
pts/pennant-1.0.1
sedovbig/sedovbig.pnt
Test: sedovbig
pts/pennant-1.0.1
leblancbig/leblancbig.pnt
Test: leblancbig
pts/lammps-1.3.0
benchmark_20k_atoms.in
Model: 20k Atoms
pts/lammps-1.3.0
in.rhodo
Model: Rhodopsin Protein
pts/compress-zstd-1.2.1
-b3
Compression Level: 3
pts/compress-zstd-1.2.1
-b19
Compression Level: 19
pts/john-the-ripper-1.7.2
--format=bcrypt
Test: Blowfish
pts/john-the-ripper-1.7.2
--format=md5crypt
Test: MD5
pts/graphics-magick-2.0.2
-swirl 90
Operation: Swirl
pts/graphics-magick-2.0.2
-rotate 90
Operation: Rotate
pts/graphics-magick-2.0.2
-sharpen 0x2.0
Operation: Sharpen
pts/graphics-magick-2.0.2
-enhance
Operation: Enhanced
pts/graphics-magick-2.0.2
-resize 50%
Operation: Resizing
pts/graphics-magick-2.0.2
-operator all Noise-Gaussian 30%
Operation: Noise-Gaussian
pts/graphics-magick-2.0.2
-colorspace HWB
Operation: HWB Color Space
pts/onednn-1.6.0
--ip --batch=inputs/ip/shapes_1d --cfg=f32 --engine=cpu
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
pts/onednn-1.6.0
--ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
pts/onednn-1.6.0
--ip --batch=inputs/ip/shapes_1d --cfg=u8s8f32 --engine=cpu
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.0
--ip --batch=inputs/ip/shapes_3d --cfg=u8s8f32 --engine=cpu
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.0
--conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
pts/onednn-1.6.0
--deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpu
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
pts/onednn-1.6.0
--deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
pts/onednn-1.6.0
--conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.0
--deconv --batch=inputs/deconv/shapes_1d --cfg=u8s8f32 --engine=cpu
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.0
--deconv --batch=inputs/deconv/shapes_3d --cfg=u8s8f32 --engine=cpu
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.0
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
pts/onednn-1.6.0
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
pts/onednn-1.6.0
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=u8s8f32 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.0
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.0
--matmul --batch=inputs/matmul/shapes_transformer --cfg=f32 --engine=cpu
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
pts/onednn-1.6.0
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-1.6.0
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-1.6.0
--matmul --batch=inputs/matmul/shapes_transformer --cfg=u8s8f32 --engine=cpu
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
pts/dav1d-1.6.0
-i chimera_8b_1080p.ivf
Video Input: Chimera 1080p
pts/dav1d-1.6.0
-i summer_nature_4k.ivf
Video Input: Summer Nature 4K
pts/dav1d-1.6.0
-i summer_nature_1080p.ivf
Video Input: Summer Nature 1080p
pts/dav1d-1.6.0
-i chimera_10b_1080p.ivf
Video Input: Chimera 1080p 10-bit
pts/ttsiod-renderer-1.7.0
Phong Rendering With Soft-Shadow Mapping
pts/aom-av1-2.1.2
--cpu-used=0 --limit=10
Encoder Mode: Speed 0 Two-Pass
pts/aom-av1-2.1.2
--cpu-used=4 --limit=40
Encoder Mode: Speed 4 Two-Pass
pts/aom-av1-2.1.2
--cpu-used=6 --rt
Encoder Mode: Speed 6 Realtime
pts/aom-av1-2.1.2
--cpu-used=6 --limit=80
Encoder Mode: Speed 6 Two-Pass
pts/aom-av1-2.1.2
--cpu-used=8 --rt
Encoder Mode: Speed 8 Realtime
pts/kvazaar-1.0.0
-i Bosphorus_3840x2160.y4m --preset slow
Video Input: Bosphorus 4K - Video Preset: Slow
pts/kvazaar-1.0.0
-i Bosphorus_3840x2160.y4m --preset medium
Video Input: Bosphorus 4K - Video Preset: Medium
pts/kvazaar-1.0.0
-i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset slow
Video Input: Bosphorus 1080p - Video Preset: Slow
pts/kvazaar-1.0.0
-i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset medium
Video Input: Bosphorus 1080p - Video Preset: Medium
pts/kvazaar-1.0.0
-i Bosphorus_3840x2160.y4m --preset veryfast
Video Input: Bosphorus 4K - Video Preset: Very Fast
pts/kvazaar-1.0.0
-i Bosphorus_3840x2160.y4m --preset ultrafast
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
pts/kvazaar-1.0.0
-i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset veryfast
Video Input: Bosphorus 1080p - Video Preset: Very Fast
pts/kvazaar-1.0.0
-i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset ultrafast
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
pts/rav1e-1.4.0
-s 1 -l 20
Speed: 1
pts/rav1e-1.4.0
-s 5 -l 60
Speed: 5
pts/rav1e-1.4.0
-s 6 -l 60
Speed: 6
pts/rav1e-1.4.0
-s 10 -l 90
Speed: 10
pts/vpxenc-3.0.0
--cpu-used=0
Speed: Speed 0
pts/vpxenc-3.0.0
--cpu-used=5
Speed: Speed 5
pts/x264-2.6.1
H.264 Video Encoding
pts/x265-1.3.0
Bosphorus_3840x2160.y4m
Video Input: Bosphorus 4K
pts/x265-1.3.0
Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Video Input: Bosphorus 1080p
pts/mt-dgemm-1.2.0
Sustained Floating-Point Rate
pts/coremark-1.0.1
CoreMark Size 666 - Iterations Per Second
pts/compress-7zip-1.7.1
Compress Speed Test
pts/stockfish-1.2.0
Total Time
pts/asmfish-1.1.2
1024 Hash Memory, 26 Depth
pts/swet-1.0.0
Average
pts/ebizzy-1.0.4
pts/build-apache-1.6.1
Time To Compile
pts/build-ffmpeg-1.0.2
Time To Compile
pts/build-gcc-1.2.0
Time To Compile
pts/build-gdb-1.0.1
Time To Compile
pts/build-imagemagick-1.7.2
Time To Compile
pts/build-linux-kernel-1.10.2
Time To Compile
pts/build-llvm-1.2.1
Time To Compile
pts/build-php-1.5.1
Time To Compile
pts/c-ray-1.2.0
Total Time - 4K, 16 Rays Per Pixel
pts/compress-pbzip2-1.5.0
256MB File Compression
pts/povray-1.2.1
Trace Time
pts/primesieve-1.7.0
1e12 Prime Number Generation
pts/rust-mandel-1.0.0
Time To Complete Serial/Parallel Mandelbrot
pts/aobench-1.0.1
Size: 2048 x 2048 - Total Time
pts/m-queens-1.1.0
Time To Solve
pts/n-queens-1.2.1
Elapsed Time
pts/aircrack-ng-1.2.1
pts/askap-2.0.1
tConvolveMT
Test: tConvolve MT - Gridding
pts/askap-2.0.1
tConvolveMT
Test: tConvolve MT - Degridding
pts/askap-2.0.1
tConvolveMPI
Test: tConvolve MPI - Gridding
pts/askap-2.0.1
tConvolveMPI
Test: tConvolve MPI - Degridding
pts/askap-2.0.1
tConvolveOMP
Test: tConvolve OpenMP - Gridding
pts/askap-2.0.1
tConvolveOMP
Test: tConvolve OpenMP - Degridding
pts/intel-mpi-1.0.1
IMB-P2P PingPong
Test: IMB-P2P PingPong
pts/intel-mpi-1.0.1
IMB-MPI1 Exchange
Test: IMB-MPI1 Exchange
pts/intel-mpi-1.0.1
IMB-MPI1 PingPong
Test: IMB-MPI1 PingPong
pts/intel-mpi-1.0.1
IMB-MPI1 Sendrecv
Test: IMB-MPI1 Sendrecv
pts/gromacs-1.4.1
Water Benchmark
pts/mysqlslap-1.1.0
--concurrency=1
Clients: 1
pts/mysqlslap-1.1.0
--concurrency=4
Clients: 4
pts/mysqlslap-1.1.0
--concurrency=8
Clients: 8
pts/mysqlslap-1.1.0
--concurrency=16
Clients: 16
pts/mysqlslap-1.1.0
--concurrency=32
Clients: 32
pts/mysqlslap-1.1.0
--concurrency=64
Clients: 64
pts/mysqlslap-1.1.0
--concurrency=128
Clients: 128
pts/mysqlslap-1.1.0
--concurrency=256
Clients: 256
pts/mysqlslap-1.1.0
--concurrency=512
Clients: 512
pts/sysbench-1.0.0
memory run
Test: Memory
pts/sysbench-1.0.0
cpu run
Test: CPU
pts/xsbench-1.0.0