Ryzen 9 5900X

AMD Ryzen 9 5900X 12-Core testing with a ASUS ROG CROSSHAIR VIII HERO (2702 BIOS) and AMD Radeon RX 56/64 8GB on Ubuntu 20.10 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 2012018-HA-RYZEN959003
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AV1 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 3 Tests
Chess Test Suite 4 Tests
Timed Code Compilation 2 Tests
C/C++ Compiler Tests 10 Tests
Compression Tests 2 Tests
CPU Massive 26 Tests
Creator Workloads 18 Tests
Encoding 4 Tests
Fortran Tests 6 Tests
Game Development 3 Tests
HPC - High Performance Computing 20 Tests
Imaging 4 Tests
Common Kernel Benchmarks 2 Tests
Machine Learning 10 Tests
Molecular Dynamics 4 Tests
MPI Benchmarks 5 Tests
Multi-Core 17 Tests
NVIDIA GPU Compute 8 Tests
OCR 2 Tests
Intel oneAPI 2 Tests
OpenMPI Tests 5 Tests
Programmer / Developer System Benchmarks 5 Tests
Python 3 Tests
Renderers 2 Tests
Scientific Computing 9 Tests
Server 3 Tests
Server CPU Tests 16 Tests
Single-Threaded 6 Tests
Speech 2 Tests
Telephony 2 Tests
Texture Compression 2 Tests
Video Encoding 4 Tests
Vulkan Compute 3 Tests
Common Workstation Benchmarks 3 Tests

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5900X
November 29 2020
  17 Hours, 39 Minutes
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November 30 2020
  17 Hours, 15 Minutes
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November 30 2020
  17 Hours, 15 Minutes
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  17 Hours, 23 Minutes

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Ryzen 9 5900X Suite 1.0.0 System Test suite extracted from Ryzen 9 5900X. 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/phpbench-1.1.6 PHP Benchmark Suite 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=u8s8f32 --engine=cpu Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU pts/hpcc-1.2.8 RRINGBANDWIDTH Test / Class: Random Ring Bandwidth pts/lammps-1.3.0 in.rhodo Model: Rhodopsin Protein pts/stress-ng-1.3.1 --switch 0 Test: Context Switching pts/geekbench-1.2.1 --compute Vulkan Test: GPU Vulkan pts/stress-ng-1.3.1 --cache 0 Test: CPU Cache pts/pyperformance-1.0.2 nbody Benchmark: nbody pts/ncnn-1.0.3 Target: Vulkan GPU - Model: efficientnet-b0 pts/redis-1.3.0 -t lpop Test: LPOP pts/lczero-1.5.1 -b blas Backend: BLAS pts/ncnn-1.0.3 Target: Vulkan GPU - Model: resnet50 pts/crafty-1.4.5 Elapsed Time pts/stockfish-1.2.0 Total Time 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/sunflow-1.1.3 Global Illumination + Image Synthesis pts/ncnn-1.0.3 Target: Vulkan GPU - Model: vgg16 pts/hpcc-1.2.8 STARDGEMMFLOPS Test / Class: EP-DGEMM 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/compress-lz4-1.0.0 -b9 -e9 Compression Level: 9 - Compression Speed pts/ncnn-1.0.3 Target: Vulkan GPU - Model: mobilenet pts/basis-1.0.2 -uastc -uastc_level 0 Settings: UASTC Level 0 pts/yquake2-1.0.1 +set vid_renderer soft +set r_mode 29 Renderer: Software CPU - Resolution: 3840 x 2160 pts/stress-ng-1.3.1 --cpu 0 --cpu-method all Test: CPU Stress pts/lczero-1.5.1 -b eigen Backend: Eigen pts/pyperformance-1.0.2 django_template Benchmark: django_template pts/redis-1.3.0 -t get Test: GET pts/mlpack-1.0.2 SCIKIT_LINEARRIDGEREGRESSION Benchmark: scikit_linearridgeregression pts/mnn-1.0.1 Model: inception-v3 system/hugin-1.0.0 Panorama Photo Assistant + Stitching Time pts/espeak-1.6.1 Text-To-Speech Synthesis pts/basis-1.0.2 Settings: ETC1S system/darktable-1.0.5 server-rack.dng output.jpg --core -d perf --disable-opencl Test: Server Rack - Acceleration: CPU-only pts/ncnn-1.0.3 Target: Vulkan GPU - Model: shufflenet-v2 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/hpcc-1.2.8 MAXPPBANDWIDTH Test / Class: Max Ping Pong Bandwidth pts/mnn-1.0.1 Model: SqueezeNetV1.0 pts/x265-1.3.0 Bosphorus_3840x2160.y4m Video Input: Bosphorus 4K pts/mnn-1.0.1 Model: resnet-v2-50 pts/x265-1.3.0 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Video Input: Bosphorus 1080p pts/ncnn-1.0.3 -1 Target: CPU - Model: alexnet pts/numpy-1.2.1 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/yquake2-1.0.1 +set vid_renderer gl1 +set r_mode 25 Renderer: OpenGL 1.x - Resolution: 2560 x 1440 pts/hint-1.0.3 FLOAT Test: FLOAT pts/hpcc-1.2.8 RRINGLATENCY Test / Class: Random Ring Latency pts/indigobench-1.1.0 --cpuonly --scenes supercar Acceleration: CPU - Scene: Supercar pts/yquake2-1.0.1 +set vid_renderer gl1 +set r_mode 21 Renderer: OpenGL 1.x - Resolution: 1920 x 1080 pts/stress-ng-1.3.1 --malloc 0 Test: Malloc 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/build-llvm-1.2.1 Time To Compile pts/build-linux-kernel-1.10.2 Time To Compile pts/ddnet-1.0.1 "gfx_screen_width 1920" "gfx_screen_height 1080" "gfx_fullscreen 1" "gfx_opengl_major 3" "gfx_opengl_minor 3" "gfx_opengl_patch 0" "cl_default_zoom 10" "play demos/Multeasymap_bench.demo" Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap pts/ddnet-1.0.1 "gfx_screen_width 3840" "gfx_screen_height 2160" "gfx_fullscreen 1" "gfx_opengl_major 3" "gfx_opengl_minor 3" "gfx_opengl_patch 0" "cl_default_zoom 10" "play demos/Multeasymap_bench.demo" Resolution: 3840 x 2160 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap pts/mlpack-1.0.2 SCIKIT_QDA Benchmark: scikit_qda pts/pyperformance-1.0.2 pickle_pure_python Benchmark: pickle_pure_python pts/pyperformance-1.0.2 crypto_pyaes Benchmark: crypto_pyaes pts/dolfyn-1.0.3 Computational Fluid Dynamics pts/yquake2-1.0.1 +set vid_renderer gl1 +set r_mode 29 Renderer: OpenGL 1.x - Resolution: 3840 x 2160 pts/redis-1.3.0 -t lpush Test: LPUSH pts/compress-lz4-1.0.0 -b3 -e3 Compression Level: 3 - Compression Speed pts/stress-ng-1.3.1 --str 0 Test: Glibc C String Functions pts/yquake2-1.0.1 +set vid_renderer soft +set r_mode 21 Renderer: Software CPU - Resolution: 1920 x 1080 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 system/ocrmypdf-1.0.0 Processing 60 Page PDF Document pts/mnn-1.0.1 Model: MobileNetV2_224 pts/geekbench-1.2.1 --single-core Test: CPU Single Core pts/compress-lz4-1.0.0 -b1 -e1 Compression Level: 1 - Compression Speed pts/ncnn-1.0.3 Target: Vulkan GPU - Model: blazeface pts/astcenc-1.0.2 -medium Preset: Medium pts/ncnn-1.0.3 -1 Target: CPU - Model: shufflenet-v2 pts/rav1e-1.4.0 -s 10 -l 90 Speed: 10 pts/stress-ng-1.3.1 --fork 0 Test: Forking pts/avifenc-1.0.0 -s 8 Encoder Speed: 8 pts/hpcc-1.2.8 MPIRANDOMACCESS Test / Class: G-Random Access pts/brl-cad-1.1.1 VGR Performance Metric 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/ncnn-1.0.3 Target: Vulkan GPU - Model: resnet18 system/tesseract-ocr-1.0.1 Time To OCR 7 Images pts/stress-ng-1.3.1 --mmap 0 Test: MMAP pts/basis-1.0.2 -uastc -uastc_level 2 -uastc_rdo_q .75 Settings: UASTC Level 2 + RDO Post-Processing pts/ncnn-1.0.3 -1 Target: CPU - Model: mobilenet pts/embree-1.1.1 pathtracer -c asian_dragon/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon 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/pyperformance-1.0.2 float Benchmark: float 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/ncnn-1.0.3 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 pts/indigobench-1.1.0 --cpuonly --scenes bedroom Acceleration: CPU - Scene: Bedroom pts/stress-ng-1.3.1 --sem 0 Test: Semaphores pts/ncnn-1.0.3 -1 Target: CPU - Model: resnet50 pts/pyperformance-1.0.2 pathlib Benchmark: pathlib pts/mnn-1.0.1 Model: mobilenet-v1-1.0 pts/tnn-1.0.0 -dt NAIVE -mp ../benchmark/benchmark-model/mobilenet_v2.tnnproto Target: CPU - Model: MobileNet v2 pts/stress-ng-1.3.1 --memfd 0 Test: MEMFD pts/hpcc-1.2.8 STARSTREAMTRIAD Test / Class: EP-STREAM Triad pts/hpcc-1.2.8 MPIFFT Test / Class: G-Ffte pts/ncnn-1.0.3 Target: Vulkan GPU - Model: mnasnet pts/yquake2-1.0.1 +set vid_renderer gl3 +set r_mode 29 Renderer: OpenGL 3.x - Resolution: 3840 x 2160 pts/stress-ng-1.3.1 --sock 0 Test: Socket Activity pts/lammps-1.3.0 benchmark_20k_atoms.in Model: 20k Atoms pts/rnnoise-1.0.2 pts/yquake2-1.0.1 +set vid_renderer gl3 +set r_mode 25 Renderer: OpenGL 3.x - Resolution: 2560 x 1440 pts/avifenc-1.0.0 -s 0 Encoder Speed: 0 pts/tensorflow-lite-1.0.0 --graph=nasnet_mobile.tflite Model: NASNet Mobile pts/yquake2-1.0.1 +set vid_renderer soft +set r_mode 25 Renderer: Software CPU - Resolution: 2560 x 1440 pts/asmfish-1.1.2 1024 Hash Memory, 26 Depth pts/ncnn-1.0.3 -1 Target: CPU - Model: blazeface pts/pyperformance-1.0.2 python_startup Benchmark: python_startup pts/embree-1.1.1 pathtracer -c crown/crown.ecs Binary: Pathtracer - Model: Crown pts/pyperformance-1.0.2 chaos Benchmark: chaos pts/tnn-1.0.0 -dt NAIVE -mp ../benchmark/benchmark-model/squeezenet_v1.1.tnnproto Target: CPU - Model: SqueezeNet v1.1 pts/ncnn-1.0.3 -1 Target: CPU - Model: efficientnet-b0 pts/pyperformance-1.0.2 json_loads Benchmark: json_loads 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_1920x1080_120fps_420_8bit_YUV.y4m --preset veryfast Video Input: Bosphorus 1080p - Video Preset: Very Fast system/mpv-1.0.1 bbb_sunflower_1080p_30fps_normal.mp4 --hwdec=no Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only pts/kvazaar-1.0.0 -i Bosphorus_3840x2160.y4m --preset veryfast Video Input: Bosphorus 4K - Video Preset: Very Fast pts/rav1e-1.4.0 -s 6 -l 60 Speed: 6 pts/stress-ng-1.3.1 --memcpy 0 Test: Memory Copying pts/mlpack-1.0.2 SCIKIT_ICA Benchmark: scikit_ica pts/pyperformance-1.0.2 go Benchmark: go pts/embree-1.1.1 pathtracer_ispc -c crown/crown.ecs Binary: Pathtracer ISPC - Model: Crown pts/ncnn-1.0.3 -1 Target: CPU - Model: mnasnet pts/basis-1.0.2 -uastc -uastc_level 3 Settings: UASTC Level 3 pts/vkfft-1.0.0 pts/ncnn-1.0.3 -1 Target: CPU-v3-v3 - Model: mobilenet-v3 pts/basis-1.0.2 -uastc -uastc_level 2 Settings: UASTC Level 2 pts/stress-ng-1.3.1 --matrix 0 Test: Matrix Math system/darktable-1.0.5 masskrug.NEF output.jpg --core -d perf --disable-opencl Test: Masskrug - Acceleration: CPU-only pts/kvazaar-1.0.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset ultrafast Video Input: Bosphorus 1080p - Video Preset: Ultra Fast pts/ncnn-1.0.3 -1 Target: CPU-v2-v2 - Model: mobilenet-v2 pts/rav1e-1.4.0 -s 5 -l 60 Speed: 5 pts/ncnn-1.0.3 -1 Target: CPU - Model: resnet18 pts/compress-lz4-1.0.0 -b3 -e3 Compression Level: 3 - Decompression Speed pts/avifenc-1.0.0 -s 10 Encoder Speed: 10 pts/hpcc-1.2.8 HPL Test / Class: G-HPL pts/glmark2-1.2.0 -s 1920x1080 Resolution: 1920 x 1080 pts/embree-1.1.1 pathtracer -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon Obj pts/hpcg-1.2.1 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/kvazaar-1.0.0 -i Bosphorus_3840x2160.y4m --preset ultrafast Video Input: Bosphorus 4K - Video Preset: Ultra Fast pts/caffe-1.5.0 --model=../models/bvlc_alexnet/deploy.prototxt -iterations 100 Model: AlexNet - Acceleration: CPU - Iterations: 100 pts/astcenc-1.0.2 -thorough Preset: Thorough pts/ncnn-1.0.3 -1 Target: CPU - Model: googlenet pts/ncnn-1.0.3 -1 Target: CPU - Model: squeezenet pts/glmark2-1.2.0 -s 1920x1200 Resolution: 1920 x 1200 pts/ffte-1.2.1 N=256, 3D Complex FFT Routine pts/embree-1.1.1 pathtracer_ispc -c asian_dragon/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon 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/stress-ng-1.3.1 --sendfile 0 Test: SENDFILE 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/avifenc-1.0.0 -s 2 Encoder Speed: 2 system/darktable-1.0.5 bench.SRW output.jpg --core -d perf --disable-opencl Test: Boat - Acceleration: CPU-only pts/stress-ng-1.3.1 --qsort 0 Test: Glibc Qsort Data Sorting pts/geekbench-1.2.1 --multi-core Test: CPU Multi Core pts/ncnn-1.0.3 -1 Target: CPU - Model: vgg16 pts/caffe-1.5.0 --model=../models/bvlc_alexnet/deploy.prototxt -iterations 200 Model: AlexNet - Acceleration: CPU - Iterations: 200 pts/ncnn-1.0.3 -1 Target: CPU - Model: yolov4-tiny pts/tensorflow-lite-1.0.0 --graph=inception_resnet_v2.tflite Model: Inception ResNet V2 pts/embree-1.1.1 pathtracer_ispc -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon Obj pts/tensorflow-lite-1.0.0 --graph=mobilenet_v1_1.0_224_quant.tflite Model: Mobilenet Quant pts/gromacs-1.4.1 Water Benchmark 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/caffe-1.5.0 --model=../models/bvlc_googlenet/deploy.prototxt -iterations 200 Model: GoogleNet - Acceleration: CPU - Iterations: 200 pts/hmmer-1.2.1 Pfam Database Search pts/tensorflow-lite-1.0.0 --graph=squeezenet.tflite Model: SqueezeNet pts/pyperformance-1.0.2 raytrace Benchmark: raytrace pts/hpcc-1.2.8 PTRANS Test / Class: G-Ptrans pts/stress-ng-1.3.1 --numa 0 Test: NUMA pts/kvazaar-1.0.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset slow Video Input: Bosphorus 1080p - Video Preset: Slow system/darktable-1.0.5 server_room.NEF output.jpg --core -d perf --disable-opencl Test: Server Room - Acceleration: CPU-only 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/stress-ng-1.3.1 --msg 0 Test: System V Message Passing pts/stress-ng-1.3.1 --crypt 0 Test: Crypto pts/kvazaar-1.0.0 -i Bosphorus_3840x2160.y4m --preset slow Video Input: Bosphorus 4K - Video Preset: Slow pts/astcenc-1.0.2 -exhaustive Preset: Exhaustive pts/astcenc-1.0.2 -fast Preset: Fast pts/tensorflow-lite-1.0.0 --graph=mobilenet_v1_1.0_224.tflite Model: Mobilenet Float pts/kvazaar-1.0.0 -i Bosphorus_3840x2160.y4m --preset medium Video Input: Bosphorus 4K - Video Preset: Medium pts/tensorflow-lite-1.0.0 --graph=inception_v4.tflite Model: Inception V4 pts/compress-zstd-1.2.1 -b19 Compression Level: 19 pts/namd-1.2.1 ATPase Simulation - 327,506 Atoms pts/ncnn-1.0.3 Target: Vulkan GPU - Model: squeezenet pts/yquake2-1.0.1 +set vid_renderer gl3 +set r_mode 21 Renderer: OpenGL 3.x - Resolution: 1920 x 1080 pts/stress-ng-1.3.1 --atomic 0 Test: Atomic system/rawtherapee-1.0.1 Total Benchmark Time pts/rav1e-1.4.0 -s 1 -l 20 Speed: 1 system/mpv-1.0.1 bbb_sunflower_2160p_30fps_normal.mp4 --hwdec=no Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only pts/compress-lz4-1.0.0 -b1 -e1 Compression Level: 1 - Decompression Speed pts/mlpack-1.0.2 SCIKIT_SVM Benchmark: scikit_svm 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/compress-lz4-1.0.0 -b9 -e9 Compression Level: 9 - Decompression Speed pts/compress-zstd-1.2.1 -b3 Compression Level: 3 pts/openssl-1.11.0 RSA 4096-bit Performance pts/caffe-1.5.0 --model=../models/bvlc_googlenet/deploy.prototxt -iterations 100 Model: GoogleNet - Acceleration: CPU - Iterations: 100 pts/stress-ng-1.3.1 --vecmath 0 Test: Vector Math pts/glmark2-1.2.0 -s 3840x2160 Resolution: 3840 x 2160 pts/waifu2x-ncnn-1.0.0 -s 2 -n 3 -x Scale: 2x - Denoise: 3 - TAA: Yes pts/glmark2-1.2.0 -s 2560x1440 Resolution: 2560 x 1440 pts/ddnet-1.0.1 "gfx_screen_width 3840" "gfx_screen_height 2160" "gfx_fullscreen 1" "gfx_opengl_major 3" "gfx_opengl_minor 3" "gfx_opengl_patch 0" "cl_default_zoom 10" "play demos/RaiNyMore2_bench.demo" Resolution: 3840 x 2160 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2 pts/pyperformance-1.0.2 regex_compile Benchmark: regex_compile pts/pyperformance-1.0.2 2to3 Benchmark: 2to3 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: alexnet pts/ncnn-1.0.3 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 pts/mocassin-1.0.0 Input: Dust 2D tau100.0 pts/kripke-1.0.0 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: yolov4-tiny pts/ncnn-1.0.3 Target: Vulkan GPU - Model: googlenet pts/redis-1.3.0 -t set Test: SET pts/redis-1.3.0 -t sadd Test: SADD 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/ddnet-1.0.1 "gfx_screen_width 1920" "gfx_screen_height 1080" "gfx_fullscreen 1" "gfx_opengl_major 3" "gfx_opengl_minor 3" "gfx_opengl_patch 0" "cl_default_zoom 10" "play demos/RaiNyMore2_bench.demo" Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2