Clear Linux 36260 Suite
1.0.0
System
Test suite extracted from Clear Linux 36260.
pts/stress-ng-1.5.1
--mmap 0
Test: MMAP
pts/stress-ng-1.5.1
--numa 0
Test: NUMA
pts/stress-ng-1.5.1
--memfd 0
Test: MEMFD
pts/stress-ng-1.5.1
--crypt 0
Test: Crypto
pts/stress-ng-1.5.1
--malloc 0
Test: Malloc
pts/stress-ng-1.5.1
--fork 0
Test: Forking
pts/stress-ng-1.5.1
--io-uring 0
Test: IO_uring
pts/stress-ng-1.5.1
--sendfile 0
Test: SENDFILE
pts/stress-ng-1.5.1
--cpu 0 --cpu-method all
Test: CPU Stress
pts/stress-ng-1.5.1
--sem 0
Test: Semaphores
pts/stress-ng-1.5.1
--matrix 0
Test: Matrix Math
pts/stress-ng-1.5.1
--vecmath 0
Test: Vector Math
pts/stress-ng-1.5.1
--memcpy 0
Test: Memory Copying
pts/stress-ng-1.5.1
--switch 0
Test: Context Switching
pts/stress-ng-1.5.1
--qsort 0
Test: Glibc Qsort Data Sorting
pts/stress-ng-1.5.1
--msg 0
Test: System V Message Passing
pts/amg-1.1.0
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/svt-av1-2.5.0
--preset 10 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Encoder Mode: Preset 10 - Input: Bosphorus 4K
pts/svt-av1-2.5.0
--preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Encoder Mode: Preset 12 - 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/onnx-1.5.0
GPT2/model.onnx -e cpu
Model: GPT-2 - Device: CPU - Executor: Standard
pts/onnx-1.5.0
yolov4/yolov4.onnx -e cpu
Model: yolov4 - Device: CPU - Executor: Standard
pts/onnx-1.5.0
resnet100/resnet100.onnx -e cpu
Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard
pts/onnx-1.5.0
super_resolution/super_resolution.onnx -e cpu
Model: super-resolution-10 - Device: CPU - Executor: Standard
pts/ospray-2.9.0
--benchmark_filter=particle_volume/pathtracer/real_time
Benchmark: particle_volume/pathtracer/real_time
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/luxcorerender-1.4.0
DLSC/LuxCoreScene/render.cfg -D renderengine.type PATHCPU
Scene: DLSC - Acceleration: CPU
pts/luxcorerender-1.4.0
DanishMood/LuxCoreScene/render.cfg -D renderengine.type PATHCPU
Scene: Danish Mood - Acceleration: CPU
pts/luxcorerender-1.4.0
OrangeJuice/LuxCoreScene/render.cfg -D renderengine.type PATHCPU
Scene: Orange Juice - Acceleration: CPU
pts/luxcorerender-1.4.0
LuxCore2.1Benchmark/LuxCoreScene/render.cfg -D renderengine.type PATHCPU
Scene: LuxCore Benchmark - Acceleration: CPU
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
-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
-b19 --long
Compression Level: 19, Long Mode - Compression Speed
pts/compress-zstd-1.5.0
-b19 --long
Compression Level: 19, Long Mode - Decompression Speed
system/compress-zstd-1.5.0
-b3
Compression Level: 3 - Compression Speed
system/compress-zstd-1.5.0
-b3
Compression Level: 3 - Decompression Speed
system/compress-zstd-1.5.0
-b19
Compression Level: 19 - Compression Speed
system/compress-zstd-1.5.0
-b19
Compression Level: 19 - Decompression Speed
system/compress-zstd-1.5.0
-b3 --long
Compression Level: 3, Long Mode - Compression Speed
system/compress-zstd-1.5.0
-b3 --long
Compression Level: 3, Long Mode - Decompression Speed
system/compress-zstd-1.5.0
-b8 --long
Compression Level: 8, Long Mode - Compression Speed
system/compress-zstd-1.5.0
-b8 --long
Compression Level: 8, Long Mode - Decompression Speed
system/compress-zstd-1.5.0
-b19 --long
Compression Level: 19, Long Mode - Compression Speed
system/compress-zstd-1.5.0
-b19 --long
Compression Level: 19, Long Mode - Decompression Speed
pts/compress-zstd-1.5.0
-b8 --long
Compression Level: 8, Long Mode - Decompression Speed
pts/quantlib-1.0.0
pts/stockfish-1.3.0
Total Time
pts/gromacs-1.6.0
mpi-build water-cut1.0_GMX50_bare/1536
Implementation: MPI CPU - Input: water_GMX50_bare
pts/lammps-1.3.2
benchmark_20k_atoms.in
Model: 20k Atoms
pts/lammps-1.3.2
in.rhodo
Model: Rhodopsin Protein
pts/nginx-2.0.1
-c 100
Concurrent Requests: 100
pts/nginx-2.0.1
-c 200
Concurrent Requests: 200
pts/nginx-2.0.1
-c 500
Concurrent Requests: 500
pts/nginx-2.0.1
-c 1000
Concurrent Requests: 1000
pts/apache-2.0.1
-c 200
Concurrent Requests: 200
pts/apache-2.0.1
-c 500
Concurrent Requests: 500
pts/apache-2.0.1
-c 1000
Concurrent Requests: 1000
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/numpy-1.2.1
pts/phpbench-1.1.6
PHP Benchmark Suite
pts/pennant-1.1.0
sedovbig/sedovbig.pnt
Test: sedovbig
pts/pybench-1.1.3
Total For Average Test Times
pts/pyperformance-1.0.2
go
Benchmark: go
pts/pyperformance-1.0.2
2to3
Benchmark: 2to3
pts/pyperformance-1.0.2
chaos
Benchmark: chaos
pts/pyperformance-1.0.2
float
Benchmark: float
pts/pyperformance-1.0.2
nbody
Benchmark: nbody
pts/pyperformance-1.0.2
pathlib
Benchmark: pathlib
pts/pyperformance-1.0.2
json_loads
Benchmark: json_loads
pts/pyperformance-1.0.2
crypto_pyaes
Benchmark: crypto_pyaes
pts/pyperformance-1.0.2
regex_compile
Benchmark: regex_compile
pts/pyperformance-1.0.2
python_startup
Benchmark: python_startup
pts/pyperformance-1.0.2
django_template
Benchmark: django_template
pts/pyperformance-1.0.2
pickle_pure_python
Benchmark: pickle_pure_python
pts/renaissance-1.2.0
dotty
Test: Scala Dotty
pts/renaissance-1.2.0
dec-tree
Test: Random Forest
pts/renaissance-1.2.0
movie-lens
Test: ALS Movie Lens
pts/renaissance-1.2.0
als
Test: Apache Spark ALS
pts/renaissance-1.2.0
naive-bayes
Test: Apache Spark Bayes
pts/renaissance-1.2.0
reactors
Test: Savina Reactors.IO
pts/renaissance-1.2.0
page-rank
Test: Apache Spark PageRank
pts/renaissance-1.2.0
finagle-http
Test: Finagle HTTP Requests
pts/renaissance-1.2.0
db-shootout
Test: In-Memory Database Shootout
pts/renaissance-1.2.0
akka-uct
Test: Akka Unbalanced Cobwebbed Tree
pts/renaissance-1.2.0
future-genetic
Test: Genetic Algorithm Using Jenetics + Futures
pts/onednn-1.8.0
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
pts/onednn-1.8.0
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
pts/onednn-1.8.0
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=u8s8f32 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.8.0
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.8.0
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-1.8.0
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
pts/dacapobench-1.0.1
h2
Java Test: H2
pts/dacapobench-1.0.1
jython
Java Test: Jython
system/wireguard-1.0.1
pts/incompact3d-2.0.2
input.i3d
Input: X3D-benchmarking input.i3d
pts/incompact3d-2.0.2
input_193_nodes.i3d
Input: input.i3d 193 Cells Per Direction
pts/avifenc-1.2.0
-s 0
Encoder Speed: 0
pts/avifenc-1.2.0
-s 2
Encoder Speed: 2
pts/avifenc-1.2.0
-s 6
Encoder Speed: 6
pts/avifenc-1.2.0
-s 6 -l
Encoder Speed: 6, Lossless
pts/avifenc-1.2.0
-s 10 -l
Encoder Speed: 10, Lossless
pts/build-gem5-1.0.0
Time To Compile
pts/tachyon-1.3.0
Total Time
pts/astcenc-1.3.1
-medium
Preset: Medium
pts/astcenc-1.3.1
-thorough
Preset: Thorough
pts/astcenc-1.3.1
-exhaustive
Preset: Exhaustive
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/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/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/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/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