AMD Ryzen 5 5500

AMD Ryzen 5 5500 testing with a Gigabyte A520M DS3H (F14 BIOS) and ASUS NVIDIA NV106 2GB on Ubuntu 21.10 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2204060-NE-AMDRYZEN573
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

Audio Encoding 7 Tests
AV1 6 Tests
C++ Boost Tests 2 Tests
CAD 2 Tests
C/C++ Compiler Tests 17 Tests
CPU Massive 22 Tests
Creator Workloads 81 Tests
Encoding 20 Tests
Game Development 11 Tests
HPC - High Performance Computing 4 Tests
Imaging 19 Tests
Machine Learning 4 Tests
Multi-Core 40 Tests
NVIDIA GPU Compute 6 Tests
OCR 2 Tests
Intel oneAPI 9 Tests
Productivity 4 Tests
Python Tests 7 Tests
Raytracing 7 Tests
Renderers 18 Tests
Server CPU Tests 15 Tests
Single-Threaded 11 Tests
Speech 5 Tests
Telephony 5 Tests
Texture Compression 6 Tests
Video Encoding 13 Tests
Common Workstation Benchmarks 3 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Disable Color Branding
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
Ryzen 5 5500
April 05 2022
  7 Hours, 20 Minutes
B
April 05 2022
  4 Hours, 1 Minute
C
April 05 2022
  4 Hours, 23 Minutes
Invert Hiding All Results Option
  5 Hours, 15 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


AMD Ryzen 5 5500 Suite 1.0.0 System Test suite extracted from AMD Ryzen 5 5500. pts/blender-3.0.0 -b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 CUDA Blend File: Barbershop - Compute: CUDA pts/blender-3.0.0 -b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX Blend File: Barbershop - Compute: NVIDIA OptiX 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/appleseed-1.0.1 emily.appleseed Scene: Emily pts/appleseed-1.0.1 disney_material_1.appleseed Scene: Disney Material pts/brl-cad-1.2.0 VGR Performance Metric pts/appleseed-1.0.1 material_tester_ambient_occlusion.appleseed Scene: Material Tester pts/blender-3.0.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 CUDA Blend File: Classroom - Compute: CUDA 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 ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX Blend File: Classroom - Compute: NVIDIA OptiX pts/radiance-1.0.0 make all Test: Serial pts/blender-3.0.0 -b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 CUDA Blend File: Pabellon Barcelona - Compute: CUDA pts/toktx-1.0.1 --uastc 4 --zcmp 19 Settings: UASTC 4 + Zstd Compression 19 pts/jpegxl-1.4.0 sample-4.png out.jxl -s 8 --num_reps 12 Input: PNG - Encode Speed: 8 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=particle_volume/scivis/real_time Benchmark: particle_volume/scivis/real_time 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 ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX Blend File: Fishy Cat - Compute: NVIDIA OptiX pts/blender-3.0.0 -b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 CUDA Blend File: Fishy Cat - Compute: CUDA pts/oidn-1.4.0 -r RTLightmap.hdr.4096x4096 Run: RTLightmap.hdr.4096x4096 pts/openvkl-1.1.0 vklBenchmark --benchmark_filter=ispc Benchmark: vklBenchmark ISPC pts/openvkl-1.1.0 vklBenchmark --benchmark_filter=scalar Benchmark: vklBenchmark Scalar pts/blender-3.0.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 CUDA Blend File: BMW27 - Compute: CUDA 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 ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX Blend File: BMW27 - Compute: NVIDIA OptiX pts/tachyon-1.3.0 Total Time pts/ospray-studio-1.0.1 --cameras 3 3 --resolution 1920 1080 --spp 32 --renderer pathtracer Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer pts/ospray-2.9.0 --benchmark_filter=particle_volume/ao/real_time Benchmark: particle_volume/ao/real_time pts/aom-av1-3.3.0 --cpu-used=4 Bosphorus_3840x2160.y4m Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K pts/aom-av1-3.3.0 --cpu-used=0 --limit=20 Bosphorus_3840x2160.y4m Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K pts/ospray-studio-1.0.1 --cameras 2 2 --resolution 1920 1080 --spp 32 --renderer pathtracer Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer pts/ospray-studio-1.0.1 --cameras 1 1 --resolution 1920 1080 --spp 32 --renderer pathtracer Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer pts/build-godot-1.0.0 Time To Compile pts/ospray-2.9.0 --benchmark_filter=gravity_spheres_volume/dim_512/pathtracer/real_time Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time pts/radiance-1.0.0 make smp Test: SMP Parallel pts/ngspice-1.0.0 ~/iscas85Circuits/85/c2670/c2670_ann.net Circuit: C2670 pts/libgav1-1.2.1 chimera_10b_1080p.ivf Video Input: Chimera 1080p 10-bit pts/ospray-studio-1.0.1 --cameras 3 3 --resolution 1920 1080 --spp 1 --renderer pathtracer Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer pts/ospray-studio-1.0.1 --cameras 1 1 --resolution 1920 1080 --spp 1 --renderer pathtracer Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer pts/stargate-1.0.1 192000 512 Sample Rate: 192000 - Buffer Size: 512 pts/ospray-studio-1.0.1 --cameras 2 2 --resolution 1920 1080 --spp 1 --renderer pathtracer Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer pts/stargate-1.0.1 192000 1024 Sample Rate: 192000 - Buffer Size: 1024 pts/vpxenc-3.1.0 --cpu-used=0 ~/Bosphorus_3840x2160.y4m --width=3840 --height=2160 Speed: Speed 0 - Input: Bosphorus 4K pts/jpegxl-1.4.0 sample-4.png out.jxl -s 7 --num_reps 45 Input: PNG - Encode Speed: 7 pts/ngspice-1.0.0 ~/iscas85Circuits/85/c7552p/c7552_ann.net Circuit: C7552 pts/oidn-1.4.0 -r RT.hdr_alb_nrm.3840x2160 Run: RT.hdr_alb_nrm.3840x2160 pts/oidn-1.4.0 -r RT.ldr_alb_nrm.3840x2160 Run: RT.ldr_alb_nrm.3840x2160 pts/ospray-studio-1.0.1 --cameras 3 3 --resolution 1920 1080 --spp 16 --renderer pathtracer Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer pts/ospray-2.9.0 --benchmark_filter=gravity_spheres_volume/dim_512/scivis/real_time Benchmark: gravity_spheres_volume/dim_512/scivis/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/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_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_training --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU pts/kvazaar-1.1.1 -i Bosphorus_3840x2160.y4m --preset slow Video Input: Bosphorus 4K - Video Preset: Slow 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 pts/stargate-1.0.1 96000 512 Sample Rate: 96000 - Buffer Size: 512 pts/aom-av1-3.3.0 --cpu-used=6 Bosphorus_3840x2160.y4m Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K pts/kvazaar-1.1.1 -i Bosphorus_3840x2160.y4m --preset medium Video Input: Bosphorus 4K - Video Preset: Medium 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/stargate-1.0.1 96000 1024 Sample Rate: 96000 - Buffer Size: 1024 pts/embree-1.2.1 pathtracer_ispc -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon Obj pts/ospray-studio-1.0.1 --cameras 2 2 --resolution 1920 1080 --spp 16 --renderer pathtracer Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer pts/svt-av1-2.4.0 --preset 4 -n 160 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 4 - Input: Bosphorus 4K pts/astcenc-1.3.1 -exhaustive Preset: Exhaustive pts/ospray-studio-1.0.1 --cameras 1 1 --resolution 1920 1080 --spp 16 --renderer pathtracer Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer 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_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_inference_lb --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU system/openscad-1.0.0 Pistol.scad Render: Pistol pts/embree-1.2.1 pathtracer -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon Obj pts/c-ray-1.2.0 Total Time - 4K, 16 Rays Per Pixel pts/embree-1.2.1 pathtracer_ispc -c crown/crown.ecs Binary: Pathtracer ISPC - Model: Crown pts/avifenc-1.1.1 -s 0 Encoder Speed: 0 pts/v-ray-1.3.0 -m vray-gpu-cuda Mode: NVIDIA CUDA GPU pts/embree-1.2.1 pathtracer -c crown/crown.ecs Binary: Pathtracer - Model: Crown system/gegl-1.0.0 cartoon Operation: Cartoon pts/aom-av1-3.3.0 --cpu-used=4 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p pts/stargate-1.0.1 48000 512 Sample Rate: 480000 - Buffer Size: 512 pts/stargate-1.0.1 44100 512 Sample Rate: 44100 - Buffer Size: 512 pts/embree-1.2.1 pathtracer_ispc -c asian_dragon/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon pts/v-ray-1.3.0 -m vray Mode: CPU pts/stargate-1.0.1 48000 1024 Sample Rate: 480000 - Buffer Size: 1024 pts/avifenc-1.1.1 -s 6 -l Encoder Speed: 6, Lossless pts/stargate-1.0.1 44100 1024 Sample Rate: 44100 - Buffer Size: 1024 system/rawtherapee-1.0.1 Total Benchmark Time pts/basis-1.1.1 -uastc -uastc_level 3 Settings: UASTC Level 3 pts/embree-1.2.1 pathtracer -c asian_dragon/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon pts/vpxenc-3.1.0 --cpu-used=5 ~/Bosphorus_3840x2160.y4m --width=3840 --height=2160 Speed: Speed 5 - Input: Bosphorus 4K pts/aom-av1-3.3.0 --cpu-used=0 --limit=20 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p pts/luxcorerender-1.4.0 OrangeJuice/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: Orange Juice - 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 LuxCore2.1Benchmark/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: LuxCore Benchmark - Acceleration: CPU pts/aom-av1-3.3.0 --cpu-used=6 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p pts/indigobench-1.1.0 --cpuonly --scenes bedroom Acceleration: CPU - Scene: Bedroom pts/indigobench-1.1.0 --cpuonly --scenes supercar Acceleration: CPU - Scene: Supercar pts/luxcorerender-1.4.0 DLSC/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: DLSC - Acceleration: CPU pts/povray-1.2.1 Trace Time 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 -operator all Noise-Gaussian 30% Operation: Noise-Gaussian 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 -colorspace HWB Operation: HWB Color Space pts/graphics-magick-2.0.2 -resize 50% Operation: Resizing pts/vpxenc-3.1.0 --cpu-used=0 ~/Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv --width=1920 --height=1080 Speed: Speed 0 - Input: Bosphorus 1080p pts/aom-av1-3.3.0 --cpu-used=6 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K pts/libgav1-1.2.1 summer_nature_4k.ivf Video Input: Summer Nature 4K pts/natron-1.0.0 Natron_2.3.12_Spaceship/Natron_project/Spaceship_Natron.ntp Input: Spaceship pts/x265-1.3.0 Bosphorus_3840x2160.y4m Video Input: Bosphorus 4K pts/deepspeech-1.0.0 CPU Acceleration: CPU system/gegl-1.0.0 wavelet-blur Operation: Wavelet Blur pts/rav1e-1.6.1 -s 1 -l 20 Speed: 1 system/gegl-1.0.0 color-enhance Operation: Color Enhance 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 pts/jpegxl-decode-1.4.0 --num_threads=1 --num_reps=100 CPU Threads: 1 system/hugin-1.0.0 Panorama Photo Assistant + Stitching Time pts/kvazaar-1.1.1 -i Bosphorus_3840x2160.y4m --preset veryfast Video Input: Bosphorus 4K - Video Preset: Very Fast pts/avifenc-1.1.1 -s 2 Encoder Speed: 2 pts/libgav1-1.2.1 chimera_8b_1080p.ivf Video Input: Chimera 1080p pts/dcraw-1.1.1 RAW To PPM Image Conversion pts/jpegxl-1.4.0 sample-4.png out.jxl -s 5 --num_reps 55 Input: PNG - Encode Speed: 5 system/openscad-1.0.0 mini-itx.scad Render: Mini-ITX Case pts/ttsiod-renderer-1.7.0 Phong Rendering With Soft-Shadow Mapping pts/basis-1.1.1 -uastc -uastc_level 2 Settings: UASTC Level 2 system/gegl-1.0.0 rotate-on-center degrees=90 Operation: Rotate 90 Degrees pts/webp-1.0.0 -q 100 -lossless -m 6 Encode Settings: Quality 100, Lossless, Highest Compression pts/aobench-1.0.1 Size: 2048 x 2048 - Total Time system/gegl-1.0.0 antialias Operation: Antialias pts/aom-av1-3.3.0 --cpu-used=6 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p pts/synthmark-1.0.1 -tv -p100 -s30 Test: VoiceMark_100 pts/libraw-1.0.0 Post-Processing Benchmark pts/svt-av1-2.4.0 --preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 8 - Input: Bosphorus 4K pts/basis-1.1.1 Settings: ETC1S pts/jpegxl-decode-1.4.0 --num_reps=200 CPU Threads: All pts/dav1d-1.12.0 -i chimera_10b_1080p.ivf Video Input: Chimera 1080p 10-bit pts/dav1d-1.12.0 -i summer_nature_4k.ivf Video Input: Summer Nature 4K pts/luxcorerender-1.4.0 RainbowColorsAndPrism/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: Rainbow Colors and Prism - Acceleration: CPU system/gegl-1.0.0 reflect Operation: Reflect pts/rav1e-1.6.1 -s 5 -l 60 Speed: 5 pts/svt-av1-2.4.0 --preset 4 -n 160 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 4 - Input: Bosphorus 1080p pts/luajit-1.1.0 TEST_COMPOSITE Test: Composite pts/kvazaar-1.1.1 -i Bosphorus_3840x2160.y4m --preset ultrafast Video Input: Bosphorus 4K - Video Preset: Ultra Fast system/gegl-1.0.0 tile-glass tile-width=20 tile-height=20 Operation: Tile Glass pts/vosk-1.0.1 pts/espeak-1.6.1 Text-To-Speech Synthesis pts/etcpak-1.0.1 --etc2 Configuration: ETC2 pts/toktx-1.0.1 --zcmp 19 Settings: Zstd Compression 19 system/ocrmypdf-1.0.0 Processing 60 Page PDF Document pts/toktx-1.0.1 --uastc 3 --zcmp 19 Settings: UASTC 3 + Zstd Compression 19 pts/onednn-1.8.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU pts/onednn-1.8.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU pts/rays1bench-1.0.0 Large Scene pts/kvazaar-1.1.1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset slow Video Input: Bosphorus 1080p - Video Preset: Slow system/rsvg-1.0.0 Operation: SVG Files To PNG pts/rav1e-1.6.1 -s 6 -l 60 Speed: 6 system/tesseract-ocr-1.0.1 Time To OCR 7 Images pts/kvazaar-1.1.1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset medium Video Input: Bosphorus 1080p - Video Preset: Medium pts/dav1d-1.12.0 -i chimera_8b_1080p.ivf Video Input: Chimera 1080p pts/aom-av1-3.3.0 --cpu-used=8 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K pts/rnnoise-1.0.2 pts/vpxenc-3.1.0 --cpu-used=5 ~/Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv --width=1920 --height=1080 Speed: Speed 5 - Input: Bosphorus 1080p pts/encode-ogg-1.6.1 WAV To Ogg pts/jpegxl-1.4.0 sample-photo-6000x4000.JPG out.jxl -s 5 --num_reps 55 Input: JPEG - Encode Speed: 5 pts/etcpak-1.0.1 -d Configuration: ETC1 + Dithering system/openscad-1.0.0 leonardo_case_slim_lid_v1_2.scad Render: Leonardo Phone Case Slim pts/svt-av1-2.4.0 --preset 10 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 10 - Input: Bosphorus 4K pts/webp-1.0.0 -q 100 -lossless Encode Settings: Quality 100, Lossless pts/onednn-1.8.0 --ip --batch=inputs/ip/shapes_1d --cfg=f32 --engine=cpu Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU pts/onednn-1.8.0 --ip --batch=inputs/ip/shapes_1d --cfg=u8s8f32 --engine=cpu Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU pts/toktx-1.0.1 --uastc 3 Settings: UASTC 3 pts/etcpak-1.0.1 Configuration: ETC1 pts/avifenc-1.1.1 -s 6 Encoder Speed: 6 pts/smallpt-1.2.1 Global Illumination Renderer; 128 Samples pts/jpegxl-1.4.0 sample-photo-6000x4000.JPG out.jxl -s 7 --num_reps 45 Input: JPEG - Encode Speed: 7 pts/libgav1-1.2.1 summer_nature_1080p.ivf Video Input: Summer Nature 1080p pts/aom-av1-3.3.0 --cpu-used=9 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K pts/aom-av1-3.3.0 --cpu-used=10 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K pts/astcenc-1.3.1 -thorough Preset: Thorough pts/encode-wavpack-1.4.1 WAV To WavPack pts/encode-flac-1.7.0 WAV To FLAC system/gimp-1.1.3 unsharp-mask Test: unsharp-mask 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 pts/onednn-1.8.0 --matmul --batch=inputs/matmul/shapes_transformer --cfg=f32 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU pts/onednn-1.8.0 --matmul --batch=inputs/matmul/shapes_transformer --cfg=u8s8f32 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU pts/rav1e-1.6.1 -s 10 -l 100 Speed: 10 pts/x265-1.3.0 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Video Input: Bosphorus 1080p pts/encode-ape-1.4.0 WAV To APE system/gimp-1.1.3 auto-levels Test: auto-levels system/gimp-1.1.3 rotate Test: rotate pts/kvazaar-1.1.1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset veryfast Video Input: Bosphorus 1080p - Video Preset: Very Fast pts/v-ray-1.3.0 -m vray-gpu-rtx Mode: NVIDIA RTX GPU pts/jpegxl-1.4.0 sample-photo-6000x4000.JPG out.jxl -s 8 --num_reps 12 Input: JPEG - Encode Speed: 8 pts/onednn-1.8.0 --ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU pts/onednn-1.8.0 --ip --batch=inputs/ip/shapes_3d --cfg=u8s8f32 --engine=cpu Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU pts/draco-1.5.0 -i church.ply Model: Church Facade pts/svt-av1-2.4.0 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K system/inkscape-1.0.0 Operation: SVG Files To PNG system/darktable-1.0.5 masskrug.NEF output.jpg --core -d perf --disable-opencl Test: Masskrug - Acceleration: CPU-only pts/openjpeg-1.0.0 -i PIA23623_M34.tif -o out.jp2 -t 1024,1024 Encode: NASA Curiosity Panorama M34 pts/svt-av1-2.4.0 --preset 8 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 8 - Input: Bosphorus 1080p system/darktable-1.0.5 bench.SRW output.jpg --core -d perf --disable-opencl Test: Boat - Acceleration: CPU-only system/gimp-1.1.3 resize Test: resize pts/x264-2.6.1 H.264 Video Encoding system/gegl-1.0.0 crop x=100 y=100 width=1920 height=1080 Operation: Crop system/openscad-1.0.0 swivel.scad Render: Projector Mount Swivel pts/draco-1.5.0 -i lion.ply Model: Lion pts/encode-opus-1.1.1 WAV To Opus Encode 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/basis-1.1.1 -uastc -uastc_level 0 Settings: UASTC Level 0 system/darktable-1.0.5 server_room.NEF output.jpg --core -d perf --disable-opencl Test: Server Room - Acceleration: CPU-only pts/encode-mp3-1.7.4 WAV To MP3 pts/aom-av1-3.3.0 --cpu-used=8 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p pts/webp-1.0.0 -q 100 -m 6 Encode Settings: Quality 100, Highest Compression pts/dav1d-1.12.0 -i summer_nature_1080p.ivf Video Input: Summer Nature 1080p pts/onednn-1.8.0 --conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU pts/onednn-1.8.0 --conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU pts/avifenc-1.1.1 -s 10 -l Encoder Speed: 10, Lossless 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/kvazaar-1.1.1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset ultrafast Video Input: Bosphorus 1080p - Video Preset: Ultra Fast pts/neatbench-1.0.4 cpu Acceleration: CPU pts/aom-av1-3.3.0 --cpu-used=10 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p system/gegl-1.0.0 scale-size x=400 y=400 Operation: Scale pts/neatbench-1.0.4 all Acceleration: All pts/aom-av1-3.3.0 --cpu-used=9 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 9 Realtime - 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/astcenc-1.3.1 -medium Preset: Medium pts/ffmpeg-2.8.0 H.264 HD To NTSC DV system/openscad-1.0.0 RetroCar.scad Render: Retro Car pts/svt-av1-2.4.0 --preset 10 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 10 - Input: Bosphorus 1080p pts/etcpak-1.0.1 --dxtc Configuration: DXT1 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/avifenc-1.1.1 -s 10 Encoder Speed: 10 pts/onednn-1.8.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU pts/onednn-1.8.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU pts/toktx-1.0.1 --zcmp 9 Settings: Zstd Compression 9 pts/svt-av1-2.4.0 --preset 12 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 12 - Input: Bosphorus 1080p pts/webp-1.0.0 -q 100 Encode Settings: Quality 100 pts/luxcorerender-1.4.0 OrangeJuice/LuxCoreScene/render.cfg -D renderengine.type PATHOCL -D opencl.native.threads.count 0 -D context.cuda.optix.enable 0 Scene: Orange Juice - Acceleration: GPU pts/webp-1.0.0 Encode Settings: Default system/darktable-1.0.5 server-rack.dng output.jpg --core -d perf --disable-opencl Test: Server Rack - Acceleration: CPU-only pts/luxcorerender-1.4.0 DanishMood/LuxCoreScene/render.cfg -D renderengine.type PATHOCL -D opencl.native.threads.count 0 -D context.cuda.optix.enable 0 Scene: Danish Mood - Acceleration: GPU pts/luxcorerender-1.4.0 LuxCore2.1Benchmark/LuxCoreScene/render.cfg -D renderengine.type PATHOCL -D opencl.native.threads.count 0 -D context.cuda.optix.enable 0 Scene: LuxCore Benchmark - Acceleration: GPU pts/neatbench-1.0.4 gpu Acceleration: GPU pts/luxcorerender-1.4.0 DLSC/LuxCoreScene/render.cfg -D renderengine.type PATHOCL -D opencl.native.threads.count 0 -D context.cuda.optix.enable 0 Scene: DLSC - Acceleration: GPU pts/betsy-1.0.0 --codec=etc1 --quality=2 Codec: ETC1 - Quality: Highest pts/luxcorerender-1.4.0 RainbowColorsAndPrism/LuxCoreScene/render.cfg -D renderengine.type PATHOCL -D opencl.native.threads.count 0 -D context.cuda.optix.enable 0 Scene: Rainbow Colors and Prism - Acceleration: GPU pts/openvino-1.0.4 -m models/intel/age-gender-recognition-retail-0013/FP32/age-gender-recognition-retail-0013.xml -d GPU Model: Age Gender Recognition Retail 0013 FP32 - Device: Intel GPU 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/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/person-detection-0106/FP32/person-detection-0106.xml -d GPU Model: Person Detection 0106 FP32 - Device: Intel GPU pts/openvino-1.0.4 -m models/intel/face-detection-0106/FP16/face-detection-0106.xml -d GPU Model: Face Detection 0106 FP16 - Device: Intel GPU 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/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/face-detection-0106/FP32/face-detection-0106.xml -d CPU Model: Face Detection 0106 FP32 - Device: CPU pts/tjbench-1.2.0 decompression-throughput Test: Decompression Throughput pts/montage-1.0.0 pts/onednn-1.8.0 --matmul --batch=inputs/matmul/shapes_transformer --cfg=bf16bf16bf16 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-1.8.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=bf16bf16bf16 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-1.8.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=bf16bf16bf16 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-1.8.0 --conv --batch=inputs/conv/shapes_auto --cfg=bf16bf16bf16 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-1.8.0 --ip --batch=inputs/ip/shapes_3d --cfg=bf16bf16bf16 --engine=cpu Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-1.8.0 --ip --batch=inputs/ip/shapes_1d --cfg=bf16bf16bf16 --engine=cpu Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU pts/tungsten-1.0.0 ../../data/example-scenes/non-exponential/scene.json Scene: Non-Exponential pts/oneapi-level-zero-1.0.0 ze_peak -t transfer_bw Test: Peak System Memory Copy to Shared Memory pts/oneapi-level-zero-1.0.0 ze_peak -t global_bw Test: Peak Float16 Global Memory Bandwidth pts/oneapi-level-zero-1.0.0 ze_image_copy -w 3840 -h 2160 Test: Host-To-Device-To-Host Image Copy pts/oneapi-level-zero-1.0.0 ze_peak -t sp_compute Test: Peak Single-Precision Compute pts/oneapi-level-zero-1.0.0 ze_peak -t dp_compute Test: Peak Double-Precision Compute pts/oneapi-level-zero-1.0.0 ze_peak -t hp_compute Test: Peak Half-Precision Compute pts/oneapi-level-zero-1.0.0 ze_peak -t kernel_lat -i 10000 Test: Peak Kernel Launch Latency pts/oneapi-level-zero-1.0.0 ze_bandwidth -t d2h -s 268435456 -i 1000 Test: Host-To-Device Bandwidth pts/oneapi-level-zero-1.0.0 ze_bandwidth -t d2h -s 268435456 -i 1000 Test: Device-To-Host Bandwidth pts/oneapi-level-zero-1.0.0 ze_peak -t int_compute Test: Peak Integer Compute pts/openvino-1.0.4 -m models/intel/age-gender-recognition-retail-0013/FP16/age-gender-recognition-retail-0013.xml -d GPU Model: Age Gender Recognition Retail 0013 FP16 - Device: Intel GPU pts/openvino-1.0.4 -m models/intel/person-detection-0106/FP16/person-detection-0106.xml -d GPU Model: Person Detection 0106 FP16 - Device: Intel GPU pts/openvino-1.0.4 -m models/intel/face-detection-0106/FP32/face-detection-0106.xml -d GPU Model: Face Detection 0106 FP32 - Device: Intel GPU 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/blender-3.0.0 -b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX 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 pts/webp2-1.0.0 -q 100 -effort 9 Encode Settings: Quality 100, Lossless Compression pts/webp2-1.0.0 -q 100 -effort 5 Encode Settings: Quality 100, Compression Effort 5 pts/webp2-1.0.0 -q 95 -effort 7 Encode Settings: Quality 95, Compression Effort 7 pts/webp2-1.0.0 -q 75 -effort 7 Encode Settings: Quality 75, Compression Effort 7 pts/webp2-1.0.0 Encode Settings: Default pts/yafaray-1.1.1 pts/tungsten-1.0.0 ../../data/example-scenes/volumetric-caustic/scene.json Scene: Volumetric Caustic pts/tungsten-1.0.0 ../../data/example-scenes/water-caustic/scene.json Scene: Water Caustic pts/tungsten-1.0.0 ../../data/example-scenes/hair/scene.json Scene: Hair pts/luajit-1.1.0 TEST_SOR Test: Jacobi Successive Over-Relaxation pts/luajit-1.1.0 TEST_DENSE Test: Dense LU Matrix Factorization pts/luajit-1.1.0 TEST_SPARSE Test: Sparse Matrix Multiply pts/luajit-1.1.0 TEST_FFT Test: Fast Fourier Transform pts/luajit-1.1.0 TEST_MONTE Test: Monte Carlo pts/betsy-1.0.0 --codec=etc2_rgb --quality=2 Codec: ETC2 RGB - Quality: Highest