xxx Suite
1.0.0
System
Test suite extracted from xxx.
pts/lczero-1.5.1
-b blas
Backend: BLAS
pts/minife-1.0.0
-‐nx 264 --ny 256 -‐nz 256
Problem Size: Small
pts/cloverleaf-1.0.0
Lagrangian-Eulerian Hydrodynamics
pts/cp2k-1.0.0
Fayalite-FIST Data
pts/namd-1.2.1
ATPase Simulation - 327,506 Atoms
pts/dolfyn-1.0.3
Computational Fluid Dynamics
pts/neat-1.0.2
pts/amg-1.0.1
pts/ffte-1.2.1
echo 256; exec tests/speed1d
Test: N=256, 1D Complex FFT Routine
pts/fftw-1.2.0
fftw-stock/tests/bench --time-repeat 100 -opatient ibc32
Build: Stock - Size: 1D FFT Size 32
pts/fftw-1.2.0
fftw-stock/tests/bench --time-repeat 100 -opatient ibc32x32
Build: Stock - Size: 2D FFT Size 32
pts/fftw-1.2.0
fftw-stock/tests/bench --time-repeat 100 -opatient ibc4096
Build: Stock - Size: 1D FFT Size 4096
pts/fftw-1.2.0
fftw-stock/tests/bench --time-repeat 100 -opatient ibc4096x4096
Build: Stock - Size: 2D FFT Size 4096
pts/fftw-1.2.0
fftw-mr/tests/bench --time-repeat 100 -opatient ibc32
Build: Float + SSE - Size: 1D FFT Size 32
pts/fftw-1.2.0
fftw-mr/tests/bench --time-repeat 100 -opatient ibc32x32
Build: Float + SSE - Size: 2D FFT Size 32
pts/fftw-1.2.0
fftw-mr/tests/bench --time-repeat 100 -opatient ibc4096
Build: Float + SSE - Size: 1D FFT Size 4096
pts/fftw-1.2.0
fftw-mr/tests/bench --time-repeat 100 -opatient ibc4096x4096
Build: Float + SSE - Size: 2D FFT Size 4096
pts/pennant-1.0.1
sedovbig/sedovbig.pnt
Test: sedovbig
pts/pennant-1.0.1
leblancbig/leblancbig.pnt
Test: leblancbig
pts/mrbayes-1.4.0
Primate Phylogeny Analysis
pts/qmcpack-1.0.3
pts/hmmer-1.2.0
Pfam Database Search
pts/incompact3d-1.0.0
examples/Cylinder/input.i3d
Input: Cylinder
pts/mafft-1.6.1
Multiple Sequence Alignment - LSU RNA
pts/mocassin-1.0.0
Input: Dust 2D tau100.0
pts/lammps-1.2.1
benchmark_20k_atoms.in
Model: 20k Atoms
pts/lammps-1.2.1
in.rhodo
Model: Rhodopsin Protein
pts/lulesh-1.0.1
pts/webp-1.0.0
Encode Settings: Default
pts/webp-1.0.0
-q 100
Encode Settings: Quality 100
pts/webp-1.0.0
-q 100 -lossless
Encode Settings: Quality 100, Lossless
pts/webp-1.0.0
-q 100 -m 6
Encode Settings: Quality 100, Highest Compression
pts/webp-1.0.0
-q 100 -lossless -m 6
Encode Settings: Quality 100, Lossless, Highest Compression
pts/libgav1-1.0.1
chimera_8b_1080p.ivf
Video Input: Chimera 1080p
pts/libgav1-1.0.1
summer_nature_4k.ivf
Video Input: Summer Nature 4K
pts/libgav1-1.0.1
summer_nature_1080p.ivf
Video Input: Summer Nature 1080p
pts/libgav1-1.0.1
chimera_10b_1080p.ivf
Video Input: Chimera 1080p 10-bit
pts/libraw-1.0.0
Post-Processing Benchmark
pts/graphics-magick-2.0.1
-swirl 90
Operation: Swirl
pts/graphics-magick-2.0.1
-rotate 90
Operation: Rotate
pts/graphics-magick-2.0.1
-sharpen 0x2.0
Operation: Sharpen
pts/graphics-magick-2.0.1
-enhance
Operation: Enhanced
pts/graphics-magick-2.0.1
-resize 50%
Operation: Resizing
pts/graphics-magick-2.0.1
-operator all Noise-Gaussian 30%
Operation: Noise-Gaussian
pts/graphics-magick-2.0.1
-colorspace HWB
Operation: HWB Color Space
pts/onednn-1.5.0
--ip --batch=inputs/ip/ip_1d --cfg=f32 --engine=cpu
Harness: IP Batch 1D - Data Type: f32 - Engine: CPU
pts/onednn-1.5.0
--ip --batch=inputs/ip/ip_all --cfg=f32 --engine=cpu
Harness: IP Batch All - Data Type: f32 - Engine: CPU
pts/onednn-1.5.0
--ip --batch=inputs/ip/ip_1d --cfg=u8s8f32 --engine=cpu
Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.5.0
--ip --batch=inputs/ip/ip_all --cfg=u8s8f32 --engine=cpu
Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.5.0
--conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
pts/onednn-1.5.0
--deconv --batch=inputs/deconv/deconv_1d --cfg=f32 --engine=cpu
Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU
pts/onednn-1.5.0
--deconv --batch=inputs/deconv/deconv_3d --cfg=f32 --engine=cpu
Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU
pts/onednn-1.5.0
--conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.5.0
--deconv --batch=inputs/deconv/deconv_1d --cfg=u8s8f32 --engine=cpu
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.5.0
--deconv --batch=inputs/deconv/deconv_3d --cfg=u8s8f32 --engine=cpu
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.5.0
--rnn --batch=inputs/rnn/rnn_training --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
pts/onednn-1.5.0
--rnn --batch=inputs/rnn/rnn_inference --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
pts/onednn-1.5.0
--matmul --batch=inputs/matmul/shapes_transformer --cfg=f32 --engine=cpu
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
pts/onednn-1.5.0
--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/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/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/embree-1.1.0
pathtracer -c crown/crown.ecs
Binary: Pathtracer - Model: Crown
pts/embree-1.1.0
pathtracer_ispc -c crown/crown.ecs
Binary: Pathtracer ISPC - Model: Crown
pts/embree-1.1.0
pathtracer -c asian_dragon/asian_dragon.ecs
Binary: Pathtracer - Model: Asian Dragon
pts/embree-1.1.0
pathtracer -c asian_dragon_obj/asian_dragon.ecs
Binary: Pathtracer - Model: Asian Dragon Obj
pts/embree-1.1.0
pathtracer_ispc -c asian_dragon/asian_dragon.ecs
Binary: Pathtracer ISPC - Model: Asian Dragon
pts/embree-1.1.0
pathtracer_ispc -c asian_dragon_obj/asian_dragon.ecs
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
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/svt-av1-2.2.1
-enc-mode 0 -n 20 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Encoder Mode: Enc Mode 0 - 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-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-hevc-1.1.0
1080p 8-bit YUV To HEVC Video Encode
pts/svt-vp9-1.2.2
-tune 2 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: VMAF 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/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/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/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/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/himeno-1.3.0
Poisson Pressure Solver
pts/avifenc-1.0.0
-s 0
Encoder Speed: 0
pts/avifenc-1.0.0
-s 2
Encoder Speed: 2
pts/avifenc-1.0.0
-s 8
Encoder Speed: 8
pts/avifenc-1.0.0
-s 10
Encoder Speed: 10
pts/build-apache-1.6.1
Time To Compile
pts/build-ffmpeg-1.0.1
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-mplayer-1.4.0
Time To Compile
pts/build-php-1.5.1
Time To Compile
pts/build2-1.0.1
Time To Compile
pts/c-ray-1.2.0
Total Time - 4K, 16 Rays Per Pixel
pts/povray-1.2.1
Trace Time
pts/smallpt-1.2.1
Global Illumination Renderer; 128 Samples
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/rays1bench-1.0.0
Large Scene
pts/numpy-1.2.0
pts/aobench-1.0.1
Size: 2048 x 2048 - Total Time
pts/dcraw-1.1.1
RAW To PPM Image Conversion
pts/deepspeech-1.0.0
CPU
Acceleration: CPU
pts/encode-flac-1.6.0
WAV To FLAC
pts/encode-mp3-1.7.4
WAV To MP3
pts/encode-ogg-1.5.1
WAV To Ogg
pts/espeak-1.6.0
Text-To-Speech Synthesis
pts/ffmpeg-2.8.0
H.264 HD To NTSC DV
pts/montage-1.0.0
Mosaic of M17, K band, 1.5 deg x 1.5 deg
pts/radiance-1.0.0
make all
Test: Serial
pts/radiance-1.0.0
make smp
Test: SMP Parallel
pts/rnnoise-1.0.2
pts/tachyon-1.2.0
Total Time
pts/tjbench-1.1.1
pts/gromacs-1.4.0
Water Benchmark
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/astcenc-1.0.0
-fast
Preset: Fast
pts/astcenc-1.0.0
-medium
Preset: Medium
pts/astcenc-1.0.0
-thorough
Preset: Thorough
pts/astcenc-1.0.0
-exhaustive
Preset: Exhaustive
pts/basis-1.0.1
Settings: ETC1S
pts/basis-1.0.1
-uastc -uastc_level 0
Settings: UASTC Level 0
pts/basis-1.0.1
-uastc -uastc_level 2
Settings: UASTC Level 2
pts/basis-1.0.1
-uastc -uastc_level 3
Settings: UASTC Level 3
pts/basis-1.0.1
-uastc -uastc_level 2 -uastc_rdo_q .75
Settings: UASTC Level 2 + RDO Post-Processing
system/darktable-1.0.4
bench.SRW output.jpg --core -d perf --disable-opencl
Test: Boat - Acceleration: CPU-only
system/darktable-1.0.4
masskrug.NEF output.jpg --core -d perf --disable-opencl
Test: Masskrug - Acceleration: CPU-only
system/darktable-1.0.4
server-rack.dng output.jpg --core -d perf --disable-opencl
Test: Server Rack - Acceleration: CPU-only
system/darktable-1.0.4
server_room.NEF output.jpg --core -d perf --disable-opencl
Test: Server Room - Acceleration: CPU-only
system/gegl-1.0.0
crop x=100 y=100 width=1920 height=1080
Operation: Crop
system/gegl-1.0.0
scale-size x=400 y=400
Operation: Scale
system/gegl-1.0.0
cartoon
Operation: Cartoon
system/gegl-1.0.0
reflect
Operation: Reflect
system/gegl-1.0.0
antialias
Operation: Antialias
system/gegl-1.0.0
tile-glass tile-width=20 tile-height=20
Operation: Tile Glass
system/gegl-1.0.0
wavelet-blur
Operation: Wavelet Blur
system/gegl-1.0.0
color-enhance
Operation: Color Enhance
system/gegl-1.0.0
rotate-on-center degrees=90
Operation: Rotate 90 Degrees
system/gimp-1.1.2
resize
Test: resize
system/gimp-1.1.2
rotate
Test: rotate
system/gimp-1.1.2
auto-levels
Test: auto-levels
system/gimp-1.1.2
unsharp-mask
Test: unsharp-mask
system/gmic-1.0.0
repeat 1000 1000,1,1,2 fill "X=3*(x-500)/500;X^2*sin(3*X^2)+if(c==0,u(0,-1),cos(X*10))" output output.png done
Test: 2D Function Plotting, 1000 Times
system/gmic-1.0.0
repeat 1000 mode3d 5 moded3d 5 double3d 0 isosurface3d "'x^2+y^2+abs(z)^abs(4*cos(x*y*z*3))'",3 done output output.png
Test: Plotting Isosurface Of A 3D Volume, 1000 Times
system/gmic-1.0.0
repeat 100 128,128,1,3,"u(0,255)" plasma 10,3 blur 4 sharpen 10000 elevation3d[-1] "'X=(x-64)/6;Y=(y-64)/6;100*exp(-(X^2+Y^2)/30)*abs(cos(X)*sin(Y))'" done output output.png
Test: 3D Elevated Function In Random Colors, 100 Times
system/hugin-1.0.0
Panorama Photo Assistant + Stitching Time
system/inkscape-1.0.0
Operation: SVG Files To PNG
system/ocrmypdf-1.0.0
Processing 60 Page PDF Document
system/octave-benchmark-1.0.1
system/rawtherapee-1.0.1
Total Benchmark Time
system/rsvg-1.0.0
Operation: SVG Files To PNG
pts/caffe-1.5.0
--model=../models/bvlc_alexnet/deploy.prototxt -iterations 100
Model: AlexNet - Acceleration: CPU - Iterations: 100
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_alexnet/deploy.prototxt -iterations 1000
Model: AlexNet - Acceleration: CPU - Iterations: 1000
pts/caffe-1.5.0
--model=../models/bvlc_googlenet/deploy.prototxt -iterations 100
Model: GoogleNet - Acceleration: CPU - Iterations: 100
pts/caffe-1.5.0
--model=../models/bvlc_googlenet/deploy.prototxt -iterations 200
Model: GoogleNet - Acceleration: CPU - Iterations: 200
pts/caffe-1.5.0
--model=../models/bvlc_googlenet/deploy.prototxt -iterations 1000
Model: GoogleNet - Acceleration: CPU - Iterations: 1000
pts/gpaw-1.0.0
carbon-nanotube
Input: Carbon Nanotube
pts/mnn-1.0.1
Model: SqueezeNetV1.0
pts/mnn-1.0.1
Model: resnet-v2-50
pts/mnn-1.0.1
Model: MobileNetV2_224
pts/mnn-1.0.1
Model: mobilenet-v1-1.0
pts/mnn-1.0.1
Model: inception-v3
pts/ncnn-1.0.3
-1
Target: CPU - Model: squeezenet
pts/ncnn-1.0.3
-1
Target: CPU - Model: mobilenet
pts/ncnn-1.0.3
-1
Target: CPU-v2-v2 - Model: mobilenet-v2
pts/ncnn-1.0.3
-1
Target: CPU-v3-v3 - Model: mobilenet-v3
pts/ncnn-1.0.3
-1
Target: CPU - Model: shufflenet-v2
pts/ncnn-1.0.3
-1
Target: CPU - Model: mnasnet
pts/ncnn-1.0.3
-1
Target: CPU - Model: efficientnet-b0
pts/ncnn-1.0.3
-1
Target: CPU - Model: blazeface
pts/ncnn-1.0.3
-1
Target: CPU - Model: googlenet
pts/ncnn-1.0.3
-1
Target: CPU - Model: vgg16
pts/ncnn-1.0.3
-1
Target: CPU - Model: resnet18
pts/ncnn-1.0.3
-1
Target: CPU - Model: alexnet
pts/ncnn-1.0.3
-1
Target: CPU - Model: resnet50
pts/ncnn-1.0.3
-1
Target: CPU - Model: yolov4-tiny
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: squeezenet
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: mobilenet
pts/ncnn-1.0.3
Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2
pts/ncnn-1.0.3
Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: shufflenet-v2
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: mnasnet
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: efficientnet-b0
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: blazeface
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: googlenet
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: vgg16
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: resnet18
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: alexnet
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: resnet50
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: yolov4-tiny
pts/tnn-1.0.0
-dt NAIVE -mp ../benchmark/benchmark-model/mobilenet_v2.tnnproto
Target: CPU - Model: MobileNet v2
pts/tnn-1.0.0
-dt NAIVE -mp ../benchmark/benchmark-model/squeezenet_v1.1.tnnproto
Target: CPU - Model: SqueezeNet v1.1
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 resnet50 CPU
FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU
pts/openvino-1.0.3
-m models/intel/face-detection-0106/FP16/face-detection-0106.xml -d CPU
Model: Face Detection 0106 FP16 - Device: CPU
pts/openvino-1.0.3
-m models/intel/face-detection-0106/FP32/face-detection-0106.xml -d CPU
Model: Face Detection 0106 FP32 - Device: CPU
pts/openvino-1.0.3
-m models/intel/person-detection-0106/FP16/person-detection-0106.xml -d CPU
Model: Person Detection 0106 FP16 - Device: CPU
pts/openvino-1.0.3
-m models/intel/person-detection-0106/FP32/person-detection-0106.xml -d CPU
Model: Person Detection 0106 FP32 - Device: CPU
pts/openvino-1.0.3
-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-1.0.3
-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/v-ray-1.2.1
-m vray
Mode: CPU
pts/indigobench-1.0.4
--scenes bedroom
Scene: Bedroom
pts/indigobench-1.0.4
--scenes supercar
Scene: Supercar
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 ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE
Blend File: Barbershop - 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/numenta-nab-1.1.0
-d expose
Detector: EXPoSE
pts/numenta-nab-1.1.0
-d relativeEntropy
Detector: Relative Entropy
pts/numenta-nab-1.1.0
-d windowedGaussian
Detector: Windowed Gaussian
pts/numenta-nab-1.1.0
-d earthgeckoSkyline
Detector: Earthgecko Skyline
pts/numenta-nab-1.1.0
-d bayesChangePt
Detector: Bayesian Changepoint
pts/neatbench-1.0.4
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/mlpack-1.0.2
SCIKIT_ICA
Benchmark: scikit_ica
pts/mlpack-1.0.2
SCIKIT_QDA
Benchmark: scikit_qda
pts/mlpack-1.0.2
SCIKIT_SVM
Benchmark: scikit_svm
pts/mlpack-1.0.2
SCIKIT_LINEARRIDGEREGRESSION
Benchmark: scikit_linearridgeregression
pts/scikit-learn-1.1.0
system/tesseract-ocr-1.0.1
Time To OCR 7 Images
pts/opencv-1.0.0
dnn
Test: DNN - Deep Neural Network