ice-lake-ubuntu Suite
1.0.0
System
Test suite extracted from ice-lake-ubuntu .
pts/blogbench-1.1.0
READ
Test: Read
pts/blogbench-1.1.0
WRITE
Test: Write
system/wireguard-1.0.1
pts/hpcg-1.2.1
pts/npb-1.4.2
ep.C
Test / Class: EP.C
pts/npb-1.4.2
ep.D
Test / Class: EP.D
pts/npb-1.4.2
lu.C
Test / Class: LU.C
pts/rodinia-1.3.1
OMP_LAVAMD
Test: OpenMP LavaMD
pts/rodinia-1.3.1
OMP_HOTSPOT3D
Test: OpenMP HotSpot3D
pts/rodinia-1.3.1
OMP_LEUKOCYTE
Test: OpenMP Leukocyte
pts/rodinia-1.3.1
OMP_CFD
Test: OpenMP CFD Solver
pts/rodinia-1.3.1
OMP_STREAMCLUSTER
Test: OpenMP Streamcluster
pts/namd-1.2.1
ATPase Simulation - 327,506 Atoms
pts/neat-1.1.0
pts/toybrot-1.2.0
raymarched/TBB/rmTBB
Implementation: TBB
pts/toybrot-1.2.0
raymarched/OMP/rmOpenMP
Implementation: OpenMP
pts/toybrot-1.2.0
raymarched/STDTASKS/rmSTD_TASKS
Implementation: C++ Tasks
pts/toybrot-1.2.0
raymarched/STDTHREADS/rmSTD_THREADS
Implementation: C++ Threads
pts/mrbayes-1.5.0
Primate Phylogeny Analysis
pts/nwchem-1.1.1
Input: C240 Buckyball
pts/incompact3d-2.0.2
input.i3d
Input: X3D-benchmarking input.i3d
pts/incompact3d-2.0.2
input_129_nodes.i3d
Input: input.i3d 129 Cells Per Direction
pts/incompact3d-2.0.2
input_193_nodes.i3d
Input: input.i3d 193 Cells Per Direction
pts/openfoam-1.0.1
Motorbike 150 60 60
Input: Motorbike 30M
pts/openfoam-1.0.1
Motorbike 300 120 120
Input: Motorbike 60M
pts/relion-1.0.1
--iter 1 --cpu --j 2
Test: Basic - Device: CPU
pts/lammps-1.3.2
benchmark_20k_atoms.in
Model: 20k Atoms
pts/lammps-1.3.2
in.rhodo
Model: Rhodopsin Protein
pts/libgav1-1.1.0
chimera_8b_1080p.ivf
Video Input: Chimera 1080p
pts/libgav1-1.1.0
summer_nature_4k.ivf
Video Input: Summer Nature 4K
pts/libgav1-1.1.0
summer_nature_1080p.ivf
Video Input: Summer Nature 1080p
pts/libgav1-1.1.0
chimera_10b_1080p.ivf
Video Input: Chimera 1080p 10-bit
pts/chia-vdf-1.0.1
square
Test: Square Plain C++
pts/chia-vdf-1.0.1
square_asm
Test: Square Assembly Optimized
pts/java-gradle-perf-1.1.0
TEST_REACTOR
Gradle Build: Reactor
pts/dacapobench-1.0.1
h2
Java Test: H2
pts/dacapobench-1.0.1
jython
Java Test: Jython
pts/dacapobench-1.0.1
tradebeans
Java Test: Tradebeans
pts/compress-zstd-1.3.0
-b19
Compression Level: 19 - Compression Speed
pts/compress-zstd-1.3.0
-b19
Compression Level: 19 - Decompression Speed
pts/compress-zstd-1.3.0
-b8 --long
Compression Level: 8, Long Mode - Compression Speed
pts/compress-zstd-1.3.0
-b8 --long
Compression Level: 8, Long Mode - Decompression Speed
pts/compress-zstd-1.3.0
-b19 --long
Compression Level: 19, Long Mode - Compression Speed
pts/compress-zstd-1.3.0
-b19 --long
Compression Level: 19, Long Mode - Decompression Speed
pts/srslte-1.0.1
lib/src/phy/dft/test/ofdm_test -N 2048 -n 100 -r 500000
Test: OFDM_Test
pts/srslte-1.0.1
lib/test/phy/phy_dl_test -p 100 -s 20000 -m 28
Test: PHY_DL_Test
pts/john-the-ripper-1.7.2
--format=bcrypt
Test: Blowfish
pts/john-the-ripper-1.7.2
--format=md5crypt
Test: MD5
pts/node-express-loadtest-1.0.1
pts/ospray-1.0.3
sanm/sanm.obj -vp 22.958788 3.204613 2.712676 -vu 0.000000 1.000000 0.000000 -vi 12.364944 0.176316 4.009342 -sg:sun:intensity=4.0 -sg:sun:direction=0,-1,0 -sg:bounce:intensity=0.0 --hdri-light rnl_probe.pfm -sg:hdri:intensity=1.25 --renderer scivis
Demo: San Miguel - Renderer: SciVis
pts/ospray-1.0.3
xfrog-forest.xml --renderer scivis
Demo: XFrog Forest - Renderer: SciVis
pts/ospray-1.0.3
sanm/sanm.obj -vp 22.958788 3.204613 2.712676 -vu 0.000000 1.000000 0.000000 -vi 12.364944 0.176316 4.009342 -sg:sun:intensity=4.0 -sg:sun:direction=0,-1,0 -sg:bounce:intensity=0.0 --hdri-light rnl_probe.pfm -sg:hdri:intensity=1.25 --renderer pathtracer
Demo: San Miguel - Renderer: Path Tracer
pts/ospray-1.0.3
NASA-B-field-sun.osx --renderer scivis
Demo: NASA Streamlines - Renderer: SciVis
pts/ospray-1.0.3
xfrog-forest.xml --renderer pathtracer
Demo: XFrog Forest - Renderer: Path Tracer
pts/ospray-1.0.3
magnetic-512-volume/magnetic-512-volume.osp --renderer scivis
Demo: Magnetic Reconnection - Renderer: SciVis
pts/ospray-1.0.3
NASA-B-field-sun.osx --renderer pathtracer
Demo: NASA Streamlines - Renderer: Path Tracer
pts/ospray-1.0.3
magnetic-512-volume/magnetic-512-volume.osp --renderer pathtracer
Demo: Magnetic Reconnection - Renderer: Path Tracer
pts/aom-av1-2.4.0
--cpu-used=6 --rt Bosphorus_3840x2160.y4m
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K
pts/aom-av1-2.4.0
--cpu-used=6 Bosphorus_3840x2160.y4m
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K
pts/aom-av1-2.4.0
--cpu-used=8 --rt Bosphorus_3840x2160.y4m
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K
pts/aom-av1-2.4.0
--cpu-used=9 --rt Bosphorus_3840x2160.y4m
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K
pts/embree-1.2.1
pathtracer -c crown/crown.ecs
Binary: Pathtracer - Model: Crown
pts/embree-1.2.1
pathtracer_ispc -c crown/crown.ecs
Binary: Pathtracer ISPC - Model: Crown
pts/embree-1.2.1
pathtracer -c asian_dragon/asian_dragon.ecs
Binary: Pathtracer - Model: Asian Dragon
pts/embree-1.2.1
pathtracer_ispc -c asian_dragon/asian_dragon.ecs
Binary: Pathtracer ISPC - Model: Asian Dragon
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 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/svt-av1-2.3.0
--preset 4 -n 160 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Encoder Mode: Preset 4 - Input: Bosphorus 4K
pts/svt-av1-2.3.0
--preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Encoder Mode: Preset 8 - Input: Bosphorus 4K
pts/svt-hevc-1.2.0
-encMode 1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: 1 - Input: Bosphorus 1080p
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/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/svt-vp9-1.3.0
-tune 2 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: VMAF Optimized - Input: Bosphorus 1080p
pts/svt-vp9-1.3.0
-tune 1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p
pts/svt-vp9-1.3.0
-tune 0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: Visual Quality Optimized - Input: Bosphorus 1080p
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/oidn-1.2.0
-hdr memorial.pfm
Scene: Memorial
pts/openvkl-1.0.0
vklBenchmark
Benchmark: vklBenchmark
pts/openvkl-1.0.0
vklBenchmarkVdbVolume
Benchmark: vklBenchmarkVdbVolume
pts/openvkl-1.0.0
vklBenchmarkStructuredVolume
Benchmark: vklBenchmarkStructuredVolume
pts/openvkl-1.0.0
vklBenchmarkUnstructuredVolume
Benchmark: vklBenchmarkUnstructuredVolume
pts/coremark-1.0.1
CoreMark Size 666 - Iterations Per Second
pts/stockfish-1.3.0
Total Time
pts/asmfish-1.1.2
1024 Hash Memory, 26 Depth
pts/swet-1.0.0
Average
pts/pjsip-1.0.1
--method=INVITE 'sip:2@127.0.0.1'
Method: INVITE
pts/pjsip-1.0.1
--method=OPTIONS 'sip:1@127.0.0.1'
Method: OPTIONS, Stateful
pts/pjsip-1.0.1
--method=OPTIONS --stateless 'sip:0@127.0.0.1'
Method: OPTIONS, Stateless
pts/avifenc-1.1.1
-s 6
Encoder Speed: 6
pts/avifenc-1.1.1
-s 10
Encoder Speed: 10
pts/avifenc-1.1.1
-s 6 -l
Encoder Speed: 6, Lossless
pts/avifenc-1.1.1
-s 10 -l
Encoder Speed: 10, Lossless
pts/build-apache-1.6.1
Time To Compile
pts/build-gcc-1.2.0
Time To Compile
pts/build-godot-1.0.0
Time To Compile
pts/build-linux-kernel-1.11.0
Time To Compile
pts/build-llvm-1.3.1
Ninja
Build System: Ninja
pts/build-llvm-1.3.1
Build System: Unix Makefiles
pts/build-mplayer-1.4.0
Time To Compile
pts/build-nodejs-1.0.0
Time To Compile
pts/build-php-1.5.1
Time To Compile
pts/build2-1.1.0
Time To Compile
pts/povray-1.2.1
Trace Time
pts/tungsten-1.0.0
../../data/example-scenes/hair/scene.json
Scene: Hair
pts/tungsten-1.0.0
../../data/example-scenes/water-caustic/scene.json
Scene: Water Caustic
pts/tungsten-1.0.0
../../data/example-scenes/non-exponential/scene.json
Scene: Non-Exponential
pts/tungsten-1.0.0
../../data/example-scenes/volumetric-caustic/scene.json
Scene: Volumetric Caustic
pts/yafaray-1.0.0
Total Time For Sample Scene
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/onednn-1.7.0
--ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu
Harness: IP Shapes 3D - Data Type: f32 - 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/onednn-1.7.0
--ip --batch=inputs/ip/shapes_3d --cfg=u8s8f32 --engine=cpu
Harness: IP Shapes 3D - Data Type: u8s8f32 - 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/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
--conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
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/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/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/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/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/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/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/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/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
--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
--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
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.7.0
--matmul --batch=inputs/matmul/shapes_transformer --cfg=f32 --engine=cpu
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
pts/onednn-1.7.0
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-1.7.0
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
pts/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
--matmul --batch=inputs/matmul/shapes_transformer --cfg=bf16bf16bf16 --engine=cpu
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
pts/numpy-1.2.1
pts/build-eigen-1.1.0
Time To Compile
pts/build-erlang-1.1.0
Time To Compile
pts/build-wasmer-1.0.0
Time To Compile
pts/helsing-1.0.2
10000000000000 99999999999999
Digit Range: 14 digit
pts/aircrack-ng-1.2.1
pts/cpuminer-opt-1.4.0
-a m7m
Algorithm: Magi
pts/cpuminer-opt-1.4.0
-a x25x
Algorithm: x25x
pts/cpuminer-opt-1.4.0
-a deep
Algorithm: Deepcoin
pts/cpuminer-opt-1.4.0
-a minotaur
Algorithm: Ringcoin
pts/cpuminer-opt-1.4.0
-a blake2s
Algorithm: Blake-2 S
pts/cpuminer-opt-1.4.0
-a allium
Algorithm: Garlicoin
pts/cpuminer-opt-1.4.0
-a skein
Algorithm: Skeincoin
pts/cpuminer-opt-1.4.0
-a myr-gr
Algorithm: Myriad-Groestl
pts/cpuminer-opt-1.4.0
-a lbry
Algorithm: LBC, LBRY Credits
pts/cpuminer-opt-1.4.0
-a sha256q
Algorithm: Quad SHA-256, Pyrite
pts/cpuminer-opt-1.4.0
-a sha256t
Algorithm: Triple SHA-256, Onecoin
pts/securemark-1.0.0
Benchmark: SecureMark-TLS
pts/node-web-tooling-1.0.0
pts/liquid-dsp-1.0.0
-n 16 -b 256 -f 57
Threads: 16 - Buffer Length: 256 - Filter Length: 57
pts/liquid-dsp-1.0.0
-n 32 -b 256 -f 57
Threads: 32 - Buffer Length: 256 - Filter Length: 57
pts/liquid-dsp-1.0.0
-n 64 -b 256 -f 57
Threads: 64 - Buffer Length: 256 - Filter Length: 57
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 160 -b 256 -f 57
Threads: 160 - Buffer Length: 256 - Filter Length: 57
pts/keydb-1.2.0
pts/tensorflow-lite-1.0.0
--graph=squeezenet.tflite
Model: SqueezeNet
pts/tensorflow-lite-1.0.0
--graph=inception_v4.tflite
Model: Inception V4
pts/tensorflow-lite-1.0.0
--graph=nasnet_mobile.tflite
Model: NASNet Mobile
pts/tensorflow-lite-1.0.0
--graph=mobilenet_v1_1.0_224.tflite
Model: Mobilenet Float
pts/tensorflow-lite-1.0.0
--graph=mobilenet_v1_1.0_224_quant.tflite
Model: Mobilenet Quant
pts/tensorflow-lite-1.0.0
--graph=inception_resnet_v2.tflite
Model: Inception ResNet V2
pts/hammerdb-mariadb-1.0.0
128 250
Virtual Users: 128 - Warehouses: 250
pts/mysqlslap-1.1.1
--concurrency=256
Clients: 256
pts/mysqlslap-1.1.1
--concurrency=512
Clients: 512
pts/pgbench-1.10.1
-s 100 -c 250 -S
Scaling Factor: 100 - Clients: 250 - Mode: Read Only
pts/pgbench-1.10.1
-s 100 -c 250 -S
Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency
pts/pgbench-1.10.1
-s 100 -c 250
Scaling Factor: 100 - Clients: 250 - Mode: Read Write
pts/pgbench-1.10.1
-s 100 -c 250
Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency
pts/wrf-1.0.0
-i conus 2.5km
Input: conus 2.5km
pts/tnn-1.0.1
-dt NAIVE -mp ../benchmark/benchmark-model/mobilenet_v2.tnnproto
Target: CPU - Model: MobileNet v2
pts/tnn-1.0.1
-dt NAIVE -mp ../benchmark/benchmark-model/squeezenet_v1.1.tnnproto
Target: CPU - Model: SqueezeNet v1.1
pts/sysbench-1.1.0
memory run
Test: RAM / Memory
pts/sysbench-1.1.0
cpu run
Test: CPU
pts/cassandra-1.0.3
READ
Test: Reads
pts/cassandra-1.0.3
WRITE
Test: Writes
pts/blender-1.9.0
-b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE
Blend File: BMW27 - Compute: CPU-Only
pts/blender-1.9.0
-b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE
Blend File: Classroom - Compute: CPU-Only
pts/blender-1.9.0
-b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE
Blend File: Fishy Cat - Compute: CPU-Only
pts/blender-1.9.0
-b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE
Blend File: Barbershop - Compute: CPU-Only
pts/blender-1.9.0
-b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE
Blend File: Pabellon Barcelona - Compute: CPU-Only
pts/onnx-1.0.1
yolov4/yolov4.onnx -e cpu
Model: yolov4 - Device: OpenMP CPU
pts/onnx-1.0.1
download_sample_10/bertsquad10.onnx -e cpu
Model: bertsquad-10 - Device: OpenMP CPU
pts/onnx-1.0.1
fcn-resnet101-11/model.onnx -e cpu
Model: fcn-resnet101-11 - Device: OpenMP CPU
pts/onnx-1.0.1
model/test_shufflenetv2/model.onnx -e cpu
Model: shufflenet-v2-10 - Device: OpenMP CPU
pts/onnx-1.0.1
super_resolution/super_resolution.onnx -e cpu
Model: super-resolution-10 - Device: OpenMP CPU
pts/pybench-1.1.3
Total For Average Test Times
pts/appleseed-1.0.1
emily.appleseed
Scene: Emily
pts/appleseed-1.0.1
disney_material_1.appleseed
Scene: Disney Material
pts/appleseed-1.0.1
material_tester_ambient_occlusion.appleseed
Scene: Material Tester
pts/phpbench-1.1.6
PHP Benchmark Suite
pts/compress-zstd-1.5.0
-b3
Compression Level: 3 - Compression Speed
pts/compress-zstd-1.5.0
-b3
Compression Level: 3 - Decompression Speed
pts/compress-zstd-1.5.0
-b8
Compression Level: 8 - Compression Speed
pts/compress-zstd-1.5.0
-b8
Compression Level: 8 - Decompression Speed
pts/compress-zstd-1.5.0
-b19
Compression Level: 19 - Compression Speed
pts/compress-zstd-1.5.0
-b19
Compression Level: 19 - Decompression Speed
pts/compress-zstd-1.5.0
-b3 --long
Compression Level: 3, Long Mode - Compression Speed
pts/compress-zstd-1.5.0
-b3 --long
Compression Level: 3, Long Mode - Decompression Speed
pts/compress-zstd-1.5.0
-b8 --long
Compression Level: 8, Long Mode - Compression Speed
pts/compress-zstd-1.5.0
-b8 --long
Compression Level: 8, Long Mode - Decompression Speed
pts/compress-zstd-1.5.0
-b19 --long
Compression Level: 19, Long Mode - Compression Speed
pts/compress-zstd-1.5.0
-b19 --long
Compression Level: 19, Long Mode - Decompression Speed
pts/gromacs-1.6.0
mpi-build water-cut1.0_GMX50_bare/1536
Implementation: MPI CPU - Input: water_GMX50_bare