EPYC 2021 Benchmarks Suite
1.0.0
System
Test suite extracted from EPYC 2021 Benchmarks.
pts/ospray-1.0.3
magnetic-512-volume/magnetic-512-volume.osp --renderer scivis
Demo: Magnetic Reconnection - Renderer: SciVis
pts/ospray-1.0.3
xfrog-forest.xml --renderer scivis
Demo: XFrog Forest - Renderer: SciVis
pts/ospray-1.0.3
xfrog-forest.xml --renderer pathtracer
Demo: XFrog Forest - 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
NASA-B-field-sun.osx --renderer pathtracer
Demo: NASA Streamlines - Renderer: Path Tracer
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
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/c-ray-1.2.0
Total Time - 4K, 16 Rays Per Pixel
pts/tachyon-1.2.0
Total Time
pts/povray-1.2.1
Trace Time
pts/rays1bench-1.0.0
Large Scene
pts/yafaray-1.0.0
Total Time For Sample Scene
pts/blender-1.8.0
-b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE
Blend File: BMW27 - Compute: CPU-Only
pts/blender-1.8.0
-b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE
Blend File: Classroom - Compute: CPU-Only
pts/blender-1.8.0
-b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE
Blend File: Fishy Cat - Compute: CPU-Only
pts/blender-1.8.0
-b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE
Blend File: Pabellon Barcelona - Compute: CPU-Only
pts/blender-1.8.0
-b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE
Blend File: Barbershop - Compute: CPU-Only
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/appleseed-1.0.1
emily.appleseed
Scene: Emily
pts/appleseed-1.0.1
disney_material_1.appleseed
Scene: Disney Material
pts/luxcorerender-1.2.3
DLSC/LuxCoreScene/render.cfg
Scene: DLSC
pts/luxcorerender-1.2.3
RainbowColorsAndPrism/LuxCoreScene/render.cfg
Scene: Rainbow Colors and Prism
pts/v-ray-1.2.1
-m vray
Mode: CPU
pts/indigobench-1.1.0
--cpuonly --scenes supercar
Acceleration: CPU - Scene: Supercar
pts/indigobench-1.1.0
--cpuonly --scenes bedroom
Acceleration: CPU - Scene: Bedroom
pts/build-php-1.5.1
Time To Compile
pts/build-linux-kernel-1.10.2
Time To Compile
pts/build-imagemagick-1.7.2
Time To Compile
pts/build-llvm-1.2.1
Time To Compile
pts/build-ffmpeg-1.0.2
Time To Compile
pts/build-mplayer-1.4.0
Time To Compile
pts/build2-1.1.0
Time To Compile
pts/build-godot-1.0.0
Time To Compile
pts/mt-dgemm-1.2.0
Sustained Floating-Point Rate
pts/askap-2.1.0
tConvolveMPI
Test: tConvolve MPI - Degridding
pts/askap-2.1.0
tConvolveMPI
Test: tConvolve MPI - Gridding
pts/askap-2.1.0
tConvolveOMP
Test: tConvolve OpenMP - Gridding
pts/askap-2.1.0
tConvolveOMP
Test: tConvolve OpenMP - Degridding
pts/cloverleaf-1.1.0
Lagrangian-Eulerian Hydrodynamics
pts/daphne-1.0.0
OpenMP euclidean_cluster
Backend: OpenMP - Kernel: Euclidean Cluster
pts/daphne-1.0.0
OpenMP ndt_mapping
Backend: OpenMP - Kernel: NDT Mapping
pts/daphne-1.0.0
OpenMP points2image
Backend: OpenMP - Kernel: Points2Image
pts/ffte-1.2.1
N=256, 3D Complex FFT Routine
pts/gpaw-1.0.0
carbon-nanotube
Input: Carbon Nanotube
pts/hpcg-1.2.1
pts/himeno-1.3.0
Poisson Pressure Solver
pts/incompact3d-1.0.0
examples/Cylinder/input.i3d
Input: Cylinder
pts/kripke-1.1.0
pts/lammps-1.3.2
in.rhodo
Model: Rhodopsin Protein
pts/lammps-1.3.2
benchmark_20k_atoms.in
Model: 20k Atoms
pts/lulesh-1.1.1
pts/minife-1.0.0
-‐nx 264 --ny 256 -‐nz 256
Problem Size: Small
pts/mocassin-1.0.0
Input: Dust 2D tau100.0
pts/montage-1.0.0
Mosaic of M17, K band, 1.5 deg x 1.5 deg
pts/namd-1.2.1
ATPase Simulation - 327,506 Atoms
pts/gromacs-1.4.1
Water Benchmark
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
ft.C
Test / Class: FT.C
pts/npb-1.4.2
lu.C
Test / Class: LU.C
pts/npb-1.4.2
is.D
Test / Class: IS.D
pts/npb-1.4.2
mg.C
Test / Class: MG.C
pts/npb-1.4.2
cg.C
Test / Class: CG.C
pts/numpy-1.2.1
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/parboil-1.2.1
lbm omp_cpu long
Test: OpenMP LBM
pts/qe-1.0.2
ausurf.in
Input: AUSURF112
pts/rodinia-1.3.1
OMP_CFD
Test: OpenMP CFD Solver
pts/rodinia-1.3.1
OMP_LAVAMD
Test: OpenMP LavaMD
pts/rodinia-1.3.1
OMP_LEUKOCYTE
Test: OpenMP Leukocyte
pts/rodinia-1.3.1
OMP_STREAMCLUSTER
Test: OpenMP Streamcluster
pts/mrbayes-1.4.0
Primate Phylogeny Analysis
pts/ai-benchmark-1.0.1
Device Inference Score
pts/ai-benchmark-1.0.1
Device Training Score
pts/ai-benchmark-1.0.1
Device AI Score
pts/caffe-1.5.0
--model=../models/bvlc_alexnet/deploy.prototxt -iterations 200
Model: AlexNet - Acceleration: CPU - Iterations: 200
pts/caffe-1.5.0
--model=../models/bvlc_googlenet/deploy.prototxt -iterations 200
Model: GoogleNet - Acceleration: CPU - Iterations: 200
pts/lczero-1.5.1
-b blas
Backend: BLAS
pts/lczero-1.5.1
-b eigen
Backend: Eigen
pts/mnn-1.1.1
Model: SqueezeNetV1.0
pts/mnn-1.1.1
Model: resnet-v2-50
pts/mnn-1.1.1
Model: MobileNetV2_224
pts/mnn-1.1.1
Model: mobilenet-v1-1.0
pts/numenta-nab-1.1.0
-d bayesChangePt
Detector: Bayesian Changepoint
pts/numenta-nab-1.1.0
-d windowedGaussian
Detector: Windowed Gaussian
pts/numenta-nab-1.1.0
-d relativeEntropy
Detector: Relative Entropy
pts/numenta-nab-1.1.0
-d earthgeckoSkyline
Detector: Earthgecko Skyline
pts/onednn-1.6.1
--conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
pts/onednn-1.6.1
--conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.1
--deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpu
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
pts/onednn-1.6.1
--deconv --batch=inputs/deconv/shapes_1d --cfg=u8s8f32 --engine=cpu
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.1
--deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
pts/onednn-1.6.1
--deconv --batch=inputs/deconv/shapes_3d --cfg=u8s8f32 --engine=cpu
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.1
--ip --batch=inputs/ip/shapes_1d --cfg=f32 --engine=cpu
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
pts/onednn-1.6.1
--ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
pts/onednn-1.6.1
--matmul --batch=inputs/matmul/shapes_transformer --cfg=f32 --engine=cpu
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
pts/onednn-1.6.1
--matmul --batch=inputs/matmul/shapes_transformer --cfg=u8s8f32 --engine=cpu
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.1
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
pts/onednn-1.6.1
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=u8s8f32 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.1
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-1.6.1
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
pts/onednn-1.6.1
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.1
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
pts/onnx-1.0.1
yolov4/yolov4.onnx -e cpu
Model: yolov4 - 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/onnx-1.0.1
download_sample_10/bertsquad10.onnx -e cpu
Model: bertsquad-10 - Device: OpenMP CPU
pts/openvino-1.0.4
-m models/intel/face-detection-0106/FP16/face-detection-0106.xml -d CPU
Model: Face Detection 0106 FP16 - Device: CPU
pts/openvino-1.0.4
-m models/intel/face-detection-0106/FP32/face-detection-0106.xml -d CPU
Model: Face Detection 0106 FP32 - Device: CPU
pts/openvino-1.0.4
-m models/intel/age-gender-recognition-retail-0013/FP16/age-gender-recognition-retail-0013.xml -d CPU
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
pts/openvino-1.0.4
-m models/intel/age-gender-recognition-retail-0013/FP32/age-gender-recognition-retail-0013.xml -d CPU
Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU
pts/openvino-1.0.4
-m models/intel/person-detection-0106/FP16/person-detection-0106.xml -d CPU
Model: Person Detection 0106 FP16 - Device: CPU
pts/openvino-1.0.4
-m models/intel/person-detection-0106/FP32/person-detection-0106.xml -d CPU
Model: Person Detection 0106 FP32 - Device: CPU
pts/plaidml-1.0.4
--no-fp16 --no-train vgg16 CPU
FP16: No - Mode: Inference - Network: VGG16 - Device: CPU
pts/plaidml-1.0.4
--no-fp16 --no-train vgg19 CPU
FP16: No - Mode: Inference - Network: VGG19 - Device: CPU
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=nasnet_mobile.tflite
Model: NASNet Mobile
pts/tensorflow-lite-1.0.0
--graph=squeezenet.tflite
Model: SqueezeNet
pts/tensorflow-lite-1.0.0
--graph=inception_resnet_v2.tflite
Model: Inception ResNet V2
pts/tensorflow-lite-1.0.0
--graph=inception_v4.tflite
Model: Inception V4
pts/cpuminer-opt-1.4.0
-a x25x
Algorithm: x25x
pts/cpuminer-opt-1.4.0
-a allium
Algorithm: Garlicoin
pts/cpuminer-opt-1.4.0
-a deep
Algorithm: Deepcoin
pts/cpuminer-opt-1.4.0
-a skein
Algorithm: Skeincoin
pts/john-the-ripper-1.7.2
--format=md5crypt
Test: MD5
pts/john-the-ripper-1.7.2
--format=bcrypt
Test: Blowfish
pts/dav1d-1.7.1
-i summer_nature_1080p.ivf
Video Input: Summer Nature 1080p
pts/dav1d-1.7.1
-i summer_nature_4k.ivf
Video Input: Summer Nature 4K
pts/dav1d-1.7.1
-i chimera_8b_1080p.ivf
Video Input: Chimera 1080p
pts/dav1d-1.7.1
-i chimera_10b_1080p.ivf
Video Input: Chimera 1080p 10-bit
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_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/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/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/svt-vp9-1.2.2
-tune 0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: Visual Quality Optimized - Input: Bosphorus 1080p
pts/svt-vp9-1.2.2
-tune 1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p
pts/x264-2.6.1
H.264 Video Encoding
pts/x265-1.3.0
Bosphorus_3840x2160.y4m
Video Input: Bosphorus 4K
pts/webp2-1.0.0
-q 75 -effort 7
Encode Settings: Quality 75, Compression Effort 7
pts/webp2-1.0.0
-q 95 -effort 7
Encode Settings: Quality 95, Compression Effort 7
pts/webp2-1.0.0
-q 100 -effort 5
Encode Settings: Quality 100, Compression Effort 5
pts/aircrack-ng-1.2.1
pts/brl-cad-1.1.2
VGR Performance Metric
pts/cassandra-1.0.3
WRITE
Test: Writes
pts/pgbench-1.10.1
-s 100 -c 100
Scaling Factor: 100 - Clients: 100 - Mode: Read Write
pts/pgbench-1.10.1
-s 100 -c 100
Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency
pts/pgbench-1.10.1
-s 100 -c 100 -S
Scaling Factor: 100 - Clients: 100 - Mode: Read Only
pts/pgbench-1.10.1
-s 100 -c 100 -S
Scaling Factor: 100 - Clients: 100 - 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/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/keydb-1.2.0
pts/influxdb-1.0.0
-c 4 -b 10000 -t 2,5000,1 -p 10000
Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
pts/influxdb-1.0.0
-c 64 -b 10000 -t 2,5000,1 -p 10000
Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
pts/couchdb-1.0.1
100 1000 24
Bulk Size: 100 - Inserts: 1000 - Rounds: 24
pts/redis-1.3.1
-t set
Test: SET
pts/redis-1.3.1
-t get
Test: GET
pts/pybench-1.1.3
Total For Average Test Times
pts/pyperformance-1.0.2
crypto_pyaes
Benchmark: crypto_pyaes
pts/pyperformance-1.0.2
django_template
Benchmark: django_template
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
regex_compile
Benchmark: regex_compile
pts/phpbench-1.1.6
PHP Benchmark Suite
pts/perl-benchmark-1.0.1
benchmarks/app/podhtml.b
Test: Pod2html
pts/perl-benchmark-1.0.1
benchmarks/startup/noprog.b
Test: Interpreter
pts/simdjson-1.1.1
PartialTweets
Throughput Test: PartialTweets
pts/simdjson-1.1.1
LargeRandom
Throughput Test: LargeRandom
pts/simdjson-1.1.1
Kostya
Throughput Test: Kostya
pts/simdjson-1.1.1
DistinctUserID
Throughput Test: DistinctUserID
pts/rocksdb-1.0.2
--benchmarks="fillsync"
Test: Random Fill Sync
pts/rocksdb-1.0.2
--benchmarks="readrandom"
Test: Random Read
pts/rocksdb-1.0.2
--benchmarks="readwhilewriting"
Test: Read While Writing
pts/ebizzy-1.0.4
pts/blogbench-1.1.0
READ
Test: Read
pts/espeak-1.6.1
Text-To-Speech Synthesis
pts/botan-1.5.0
AES-256
Test: AES-256
pts/botan-1.5.0
Blowfish
Test: Blowfish
pts/botan-1.5.0
CAST-256
Test: CAST-256
pts/botan-1.5.0
KASUMI
Test: KASUMI
pts/botan-1.5.0
Twofish
Test: Twofish
pts/cryptopp-1.0.1
b1
Test: Unkeyed Algorithms
pts/cryptopp-1.0.1
b2
Test: Keyed Algorithms
pts/cryptopp-1.0.1
b3
Test: Integer + Elliptic Curve Public Key Algorithms
pts/blosc-1.0.0
blosclz
Compressor: blosclz
pts/compress-zstd-1.2.1
-b3
Compression Level: 3
pts/compress-zstd-1.2.1
-b19
Compression Level: 19
pts/compress-xz-1.1.0
Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9
pts/compress-7zip-1.7.1
Compress Speed Test
pts/compress-lz4-1.0.0
-b3 -e3
Compression Level: 3 - Compression Speed
pts/compress-lz4-1.0.0
-b3 -e3
Compression Level: 3 - Decompression Speed
pts/compress-lz4-1.0.0
-b9 -e9
Compression Level: 9 - Compression Speed
pts/compress-lz4-1.0.0
-b9 -e9
Compression Level: 9 - Decompression Speed
pts/coremark-1.0.1
CoreMark Size 666 - Iterations Per Second
pts/ctx-clock-1.0.0
Context Switch Time
pts/stress-ng-1.3.1
--cpu 0 --cpu-method all
Test: CPU Stress
pts/stress-ng-1.3.1
--crypt 0
Test: Crypto
pts/stress-ng-1.3.1
--vecmath 0
Test: Vector Math
pts/stress-ng-1.3.1
--matrix 0
Test: Matrix Math
pts/stress-ng-1.3.1
--sock 0
Test: Socket Activity
pts/stress-ng-1.3.1
--switch 0
Test: Context Switching
pts/stress-ng-1.3.1
--cache 0
Test: CPU Cache
pts/stream-1.3.1
Copy
Type: Copy
pts/stream-1.3.1
Scale
Type: Scale
pts/stream-1.3.1
Add
Type: Add
pts/stream-1.3.1
Triad
Type: Triad
pts/tinymembench-1.0.2
Standard Memset
pts/mbw-1.0.0
-t0 8192
Test: Memory Copy - Array Size: 8192 MiB
system/hugin-1.0.0
Panorama Photo Assistant + Stitching Time
system/ocrmypdf-1.0.0
Processing 60 Page PDF Document
system/rawtherapee-1.0.1
Total Benchmark Time
pts/libraw-1.0.0
Post-Processing Benchmark
pts/synthmark-1.0.0
-tv -p100 -s30
Test: VoiceMark_100
pts/basis-1.0.2
-uastc -uastc_level 2
Settings: UASTC Level 2
pts/basis-1.0.2
-uastc -uastc_level 3
Settings: UASTC Level 3
pts/astcenc-1.0.2
-thorough
Preset: Thorough
pts/astcenc-1.0.2
-exhaustive
Preset: Exhaustive
pts/etcpak-1.0.0
--etc2
Configuration: ETC2
pts/etcpak-1.0.0
--dxtc
Configuration: DXT1
pts/quantlib-1.0.0
pts/swet-1.0.0
Average
pts/sysbench-1.0.0
cpu run
Test: CPU
pts/sysbench-1.0.0
memory run
Test: Memory
pts/financebench-1.1.1
Bonds/OpenMP/bondsEngine.exe
Benchmark: Bonds OpenMP
pts/financebench-1.1.1
Repo/OpenMP/repoEngine.exe
Benchmark: Repo OpenMP
pts/crafty-1.4.5
Elapsed Time
pts/tscp-1.2.2
AI Chess Performance
pts/stockfish-1.2.0
Total Time
pts/asmfish-1.1.2
1024 Hash Memory, 26 Depth
pts/m-queens-1.1.0
Time To Solve
pts/hint-1.0.3
FLOAT
Test: FLOAT
pts/openvkl-1.0.0
vklBenchmark
Benchmark: vklBenchmark
pts/oidn-1.2.0
-hdr memorial.pfm
Scene: Memorial
pts/amg-1.1.0
pts/pennant-1.1.0
leblancbig/leblancbig.pnt
Test: leblancbig
pts/pennant-1.1.0
sedovbig/sedovbig.pnt
Test: sedovbig
pts/nwchem-1.1.0
Input: C240 Buckyball
pts/ngspice-1.0.0
~/iscas85Circuits/85/c2670/c2670_ann.net
Circuit: C2670
pts/ngspice-1.0.0
~/iscas85Circuits/85/c7552p/c7552_ann.net
Circuit: C7552
pts/v-ray-1.3.0
-m vray
Mode: CPU
pts/gromacs-1.5.0
water_GMX50_bare
Input: water_GMX50_bare
pts/jpegxl-1.1.0
sample-4.png out.jxl -s 5 --num_reps 55
Input: PNG - Encode Speed: 5
pts/jpegxl-1.1.0
sample-4.png out.jxl -s 7 --num_reps 40
Input: PNG - Encode Speed: 7
pts/jpegxl-1.1.0
sample-4.png out.jxl -s 8 --num_reps 10
Input: PNG - Encode Speed: 8
pts/jpegxl-1.1.0
sample-photo-6000x4000.JPG out.jxl -s 5 --num_reps 55
Input: JPEG - Encode Speed: 5
pts/jpegxl-1.1.0
sample-photo-6000x4000.JPG out.jxl -s 7 --num_reps 40
Input: JPEG - Encode Speed: 7
pts/jpegxl-1.1.0
sample-photo-6000x4000.JPG out.jxl -s 8 --num_reps 10
Input: JPEG - Encode Speed: 8
pts/jpegxl-decode-1.0.0
--num_threads=1 --num_reps=100
CPU Threads: 1
pts/jpegxl-decode-1.0.0
--num_reps=300
CPU Threads: All
pts/stream-dynamic-1.0.0
- Copy
pts/stream-dynamic-1.0.0
- Scale
pts/stream-dynamic-1.0.0
- Add
pts/stream-dynamic-1.0.0
- Triad
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