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2 x AMD EPYC 7763 64-Core testing with a AMD DAYTONA_X (RYM1001D BIOS) and ASPEED on Ubuntu 21.04 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 2106142-IB-SINGLE12789
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AV1 3 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 3 Tests
C++ Boost Tests 4 Tests
Chess Test Suite 3 Tests
Timed Code Compilation 12 Tests
C/C++ Compiler Tests 26 Tests
CPU Massive 35 Tests
Creator Workloads 30 Tests
Cryptocurrency Benchmarks, CPU Mining Tests 2 Tests
Cryptography 5 Tests
Database Test Suite 3 Tests
Encoding 8 Tests
Fortran Tests 7 Tests
Game Development 7 Tests
HPC - High Performance Computing 23 Tests
Imaging 3 Tests
Common Kernel Benchmarks 2 Tests
LAPACK (Linear Algebra Pack) Tests 3 Tests
Linear Algebra 2 Tests
Machine Learning 4 Tests
Molecular Dynamics 10 Tests
MPI Benchmarks 7 Tests
Multi-Core 55 Tests
NVIDIA GPU Compute 6 Tests
Intel oneAPI 5 Tests
OpenMPI Tests 16 Tests
Programmer / Developer System Benchmarks 14 Tests
Python Tests 8 Tests
Raytracing 5 Tests
Renderers 11 Tests
Scientific Computing 14 Tests
Software Defined Radio 2 Tests
Server 5 Tests
Server CPU Tests 24 Tests
Texture Compression 3 Tests
Video Encoding 8 Tests
Common Workstation Benchmarks 4 Tests

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Date
Run
  Test
  Duration
2 x Xeon Platinum 8380
June 01 2021
  18 Hours, 29 Minutes
Xeon Platinum 8380
June 02 2021
  21 Hours, 58 Minutes
Xeon Platinum 8380 rest
June 03 2021
  51 Minutes
Intel Xeon Platinum 8380
June 03 2021
  10 Hours, 9 Minutes
8380 1P
June 04 2021
  24 Minutes
EPYC 7713
June 05 2021
  4 Hours, 4 Minutes
EPYC 7713 2P
June 07 2021
  5 Hours, 50 Minutes
EPYC 7343 2P
June 09 2021
  8 Hours, 32 Minutes
xyz
June 10 2021
  7 Hours, 13 Minutes
EPYC 7443 2P
June 12 2021
  3 Hours, 7 Minutes
EPYC 7763
June 13 2021
  4 Hours, 13 Minutes
EPYC 7763 2P
June 14 2021
  6 Hours, 57 Minutes
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  7 Hours, 39 Minutes

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single Suite 1.0.0 System Test suite extracted from single . pts/wrf-1.0.0 -i conus 2.5km Input: conus 2.5km pts/qe-1.0.2 ausurf.in Input: AUSURF112 pts/nwchem-1.1.1 Input: C240 Buckyball pts/brl-cad-1.2.0 VGR Performance Metric pts/relion-1.0.1 --iter 1 --cpu --j 2 Test: Basic - Device: CPU pts/incompact3d-2.0.2 input.i3d Input: X3D-benchmarking input.i3d pts/openvkl-1.0.0 vklBenchmark Benchmark: vklBenchmark pts/mysqlslap-1.1.1 --concurrency=512 Clients: 512 pts/webp2-1.0.0 -q 100 -effort 9 Encode Settings: Quality 100, Lossless Compression pts/mysqlslap-1.1.1 --concurrency=256 Clients: 256 pts/plaidml-1.0.4 --no-fp16 --no-train resnet50 CPU FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU pts/lammps-1.3.2 benchmark_20k_atoms.in Model: 20k Atoms pts/onnx-1.0.1 download_sample_10/bertsquad10.onnx -e cpu Model: bertsquad-10 - Device: OpenMP CPU pts/appleseed-1.0.1 material_tester_ambient_occlusion.appleseed Scene: Material Tester pts/keydb-1.2.0 pts/onnx-1.0.1 super_resolution/super_resolution.onnx -e cpu Model: super-resolution-10 - Device: OpenMP CPU pts/askap-2.1.0 tConvolveMT Test: tConvolve MT - Degridding pts/askap-2.1.0 tConvolveMT Test: tConvolve MT - Gridding pts/asmfish-1.1.2 1024 Hash Memory, 26 Depth pts/openfoam-1.0.1 Motorbike 300 120 120 Input: Motorbike 60M pts/webp2-1.0.0 -q 95 -effort 7 Encode Settings: Quality 95, Compression Effort 7 pts/build-llvm-1.3.1 Build System: Unix Makefiles pts/appleseed-1.0.1 emily.appleseed Scene: Emily pts/luxcorerender-1.3.0 LuxCore2.1Benchmark/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: LuxCore Benchmark - Acceleration: CPU pts/blender-1.9.0 -b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE Blend File: Barbershop - Compute: CPU-Only pts/build-llvm-1.3.1 Ninja Build System: Ninja pts/srsran-1.0.1 lib/test/phy/phy_dl_nr_test -P 270 -p 270 -m 27 -T 256qam -d 1 1 -n 20000 Test: 5G PHY_DL_NR Test 270 PRB SISO 256-QAM pts/onednn-1.7.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU pts/rocksdb-1.0.2 --benchmarks="readwhilewriting" Test: Read While Writing pts/onnx-1.0.1 fcn-resnet101-11/model.onnx -e cpu Model: fcn-resnet101-11 - Device: OpenMP CPU pts/yafaray-1.0.0 Total Time For Sample Scene pts/onnx-1.0.1 yolov4/yolov4.onnx -e cpu Model: yolov4 - Device: OpenMP CPU pts/blender-1.9.0 -b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE Blend File: Pabellon Barcelona - Compute: CPU-Only pts/onnx-1.0.1 model/test_shufflenetv2/model.onnx -e cpu Model: shufflenet-v2-10 - Device: OpenMP CPU pts/helsing-1.0.2 10000000000000 99999999999999 Digit Range: 14 digit pts/webp2-1.0.0 -q 75 -effort 7 Encode Settings: Quality 75, Compression Effort 7 pts/blender-1.9.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE Blend File: Classroom - Compute: CPU-Only pts/build-nodejs-1.0.0 Time To Compile pts/vpxenc-3.1.0 --cpu-used=0 ~/Bosphorus_3840x2160.y4m --width=3840 --height=2160 Speed: Speed 0 - Input: Bosphorus 4K pts/tensorflow-lite-1.0.0 --graph=mobilenet_v1_1.0_224_quant.tflite Model: Mobilenet Quant pts/appleseed-1.0.1 disney_material_1.appleseed Scene: Disney Material pts/v-ray-1.3.0 -m vray Mode: CPU pts/graphics-magick-2.0.2 -rotate 90 Operation: Rotate pts/plaidml-1.0.4 --no-fp16 --no-train vgg19 CPU FP16: No - Mode: Inference - Network: VGG19 - Device: CPU pts/cpuminer-opt-1.4.0 -a m7m Algorithm: Magi pts/cpuminer-opt-1.4.0 -a myr-gr Algorithm: Myriad-Groestl pts/cpuminer-opt-1.4.0 -a deep Algorithm: Deepcoin pts/rodinia-1.3.1 OMP_LEUKOCYTE Test: OpenMP Leukocyte pts/tensorflow-lite-1.0.0 --graph=squeezenet.tflite Model: SqueezeNet pts/onednn-1.7.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.7.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU pts/onednn-1.7.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.7.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU pts/onednn-1.7.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU pts/plaidml-1.0.4 --no-fp16 --no-train vgg16 CPU FP16: No - Mode: Inference - Network: VGG16 - Device: CPU pts/toktx-1.0.0 --uastc 4 --zcmp 19 Settings: UASTC 4 + Zstd Compression 19 pts/cpuminer-opt-1.4.0 -a blake2s Algorithm: Blake-2 S pts/cpuminer-opt-1.4.0 -a skein Algorithm: Skeincoin pts/cpuminer-opt-1.4.0 -a lbry Algorithm: LBC, LBRY Credits pts/openvkl-1.0.0 vklBenchmarkVdbVolume Benchmark: vklBenchmarkVdbVolume pts/rocksdb-1.0.2 --benchmarks="fillsync" Test: Random Fill Sync pts/blender-1.9.0 -b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE Blend File: Fishy Cat - Compute: CPU-Only pts/rocksdb-1.0.2 --benchmarks="readrandom" Test: Random Read pts/luxcorerender-1.3.0 OrangeJuice/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: Orange Juice - Acceleration: CPU pts/luxcorerender-1.3.0 DanishMood/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: Danish Mood - Acceleration: CPU pts/svt-av1-2.3.0 --preset 4 -n 160 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 4 - Input: Bosphorus 4K 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/luxcorerender-1.3.0 DLSC/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: DLSC - Acceleration: CPU pts/tensorflow-lite-1.0.0 --graph=nasnet_mobile.tflite Model: NASNet Mobile pts/compress-7zip-1.7.1 Compress Speed Test pts/tensorflow-lite-1.0.0 --graph=mobilenet_v1_1.0_224.tflite Model: Mobilenet Float pts/john-the-ripper-1.7.2 --format=md5crypt Test: MD5 pts/graphics-magick-2.0.2 -sharpen 0x2.0 Operation: Sharpen pts/graphics-magick-2.0.2 -operator all Noise-Gaussian 30% Operation: Noise-Gaussian pts/graphics-magick-2.0.2 -enhance Operation: Enhanced pts/graphics-magick-2.0.2 -colorspace HWB Operation: HWB Color Space pts/graphics-magick-2.0.2 -swirl 90 Operation: Swirl pts/build2-1.1.0 Time To Compile pts/cpuminer-opt-1.4.0 -a allium Algorithm: Garlicoin pts/srsran-1.0.1 lib/test/phy/phy_dl_test -p 100 -s 20000 -m 27 -t 4 -q Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM pts/cpuminer-opt-1.4.0 -a x25x Algorithm: x25x pts/ebizzy-1.0.4 pts/build-godot-1.0.0 Time To Compile pts/openvkl-1.0.0 vklBenchmarkStructuredVolume Benchmark: vklBenchmarkStructuredVolume pts/srsran-1.0.1 lib/test/phy/phy_dl_test -p 100 -s 20000 -m 28 -t 4 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM pts/rodinia-1.3.1 OMP_LAVAMD Test: OpenMP LavaMD 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/xmrig-1.0.0 --bench=1M Variant: Monero - Hash Count: 1M pts/kripke-1.1.0 pts/vpxenc-3.1.0 --cpu-used=5 ~/Bosphorus_3840x2160.y4m --width=3840 --height=2160 Speed: Speed 5 - Input: Bosphorus 4K pts/blender-1.9.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE Blend File: BMW27 - Compute: CPU-Only pts/tungsten-1.0.0 ../../data/example-scenes/water-caustic/scene.json Scene: Water Caustic pts/build-gdb-1.1.0 Time To Compile pts/gromacs-1.6.0 mpi-build water-cut1.0_GMX50_bare/1536 Implementation: MPI CPU - Input: water_GMX50_bare pts/coremark-1.0.1 CoreMark Size 666 - Iterations Per Second pts/askap-2.1.0 tConvolveMPI Test: tConvolve MPI - Gridding pts/askap-2.1.0 tConvolveMPI Test: tConvolve MPI - Degridding pts/build-wasmer-1.0.0 Time To Compile pts/srsran-1.0.1 lib/src/phy/dft/test/ofdm_test -N 2048 -n 100 -r 500000 Test: OFDM_Test pts/build-php-1.5.1 Time To Compile pts/onednn-1.7.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=bf16bf16bf16 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-1.7.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU pts/oidn-1.4.0 -r RTLightmap.hdr.4096x4096 Run: RTLightmap.hdr.4096x4096 pts/xmrig-1.0.0 -a rx/wow --bench=1M Variant: Wownero - Hash Count: 1M pts/onednn-1.7.0 --ip --batch=inputs/ip/shapes_1d --cfg=u8s8f32 --engine=cpu Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU pts/luxcorerender-1.3.0 RainbowColorsAndPrism/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: Rainbow Colors and Prism - Acceleration: CPU pts/openfoam-1.0.1 Motorbike 150 60 60 Input: Motorbike 30M pts/onednn-1.7.0 --ip --batch=inputs/ip/shapes_1d --cfg=bf16bf16bf16 --engine=cpu Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU pts/john-the-ripper-1.7.2 --format=bcrypt Test: Blowfish pts/build-linux-kernel-1.11.0 Time To Compile pts/aircrack-ng-1.2.1 pts/avifenc-1.1.1 -s 6 -l Encoder Speed: 6, Lossless pts/npb-1.4.4 ep.D Test / Class: EP.D pts/srsran-1.0.1 lib/test/phy/phy_dl_nr_test -P 52 -p 52 -m 28 -n 20000 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM pts/astcenc-1.1.0 -exhaustive Preset: Exhaustive pts/srsran-1.0.1 lib/test/phy/phy_dl_test -p 100 -s 20000 -m 27 -t 1 -q Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM pts/npb-1.4.4 sp.C Test / Class: SP.C pts/onednn-1.7.0 --matmul --batch=inputs/matmul/shapes_transformer --cfg=bf16bf16bf16 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU pts/embree-1.2.1 pathtracer -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon Obj pts/srsran-1.0.1 lib/test/phy/phy_dl_test -p 100 -s 20000 -m 28 -t 1 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM pts/tungsten-1.0.0 ../../data/example-scenes/hair/scene.json Scene: Hair pts/embree-1.2.1 pathtracer_ispc -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon Obj pts/stockfish-1.3.0 Total Time pts/amg-1.1.0 pts/namd-1.2.1 ATPase Simulation - 327,506 Atoms pts/onednn-1.7.0 --ip --batch=inputs/ip/shapes_3d --cfg=bf16bf16bf16 --engine=cpu Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU pts/svt-av1-2.3.0 --preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 8 - Input: Bosphorus 4K pts/npb-1.4.4 bt.C Test / Class: BT.C 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/onednn-1.7.0 --conv --batch=inputs/conv/shapes_auto --cfg=bf16bf16bf16 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU pts/x265-1.3.0 Bosphorus_3840x2160.y4m Video Input: Bosphorus 4K pts/ttsiod-renderer-1.7.0 Phong Rendering With Soft-Shadow Mapping pts/onednn-1.7.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU pts/astcenc-1.2.0 -exhaustive Preset: Exhaustive pts/tachyon-1.2.0 Total Time pts/liquid-dsp-1.0.0 -n 160 -b 256 -f 57 Threads: 160 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.0.0 -n 128 -b 256 -f 57 Threads: 128 - Buffer Length: 256 - Filter Length: 57 pts/openssl-1.11.0 RSA 4096-bit Performance pts/liquid-dsp-1.0.0 -n 64 -b 256 -f 57 Threads: 64 - Buffer Length: 256 - Filter Length: 57 pts/incompact3d-2.0.2 input_193_nodes.i3d Input: input.i3d 193 Cells Per Direction 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/build-apache-1.6.1 Time To Compile pts/build-mesa-1.0.0 Time To Compile 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/build-ffmpeg-1.1.0 Time To Compile pts/basis-1.1.0 -uastc -uastc_level 3 Settings: UASTC Level 3 pts/askap-2.1.0 tHogbomCleanOMP Test: Hogbom Clean OpenMP pts/rodinia-1.3.1 OMP_STREAMCLUSTER Test: OpenMP Streamcluster pts/lulesh-1.1.1 pts/kvazaar-1.0.0 -i Bosphorus_3840x2160.y4m --preset veryfast Video Input: Bosphorus 4K - Video Preset: Very Fast pts/pennant-1.1.0 sedovbig/sedovbig.pnt Test: sedovbig pts/onednn-1.7.0 --ip --batch=inputs/ip/shapes_1d --cfg=f32 --engine=cpu Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU pts/cloverleaf-1.1.0 Lagrangian-Eulerian Hydrodynamics pts/minife-1.0.0 -‐nx 264 --ny 256 -‐nz 256 Problem Size: Small pts/npb-1.4.4 lu.C Test / Class: LU.C pts/npb-1.4.4 is.D Test / Class: IS.D pts/c-ray-1.2.0 Total Time - 4K, 16 Rays Per Pixel pts/m-queens-1.1.0 Time To Solve pts/toybrot-1.2.0 raymarched/TBB/rmTBB Implementation: TBB pts/mt-dgemm-1.2.0 Sustained Floating-Point Rate pts/povray-1.2.1 Trace Time pts/embree-1.2.1 pathtracer_ispc -c crown/crown.ecs Binary: Pathtracer ISPC - Model: Crown pts/embree-1.2.1 pathtracer -c crown/crown.ecs Binary: Pathtracer - Model: Crown pts/embree-1.2.1 pathtracer -c asian_dragon/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon pts/build-imagemagick-1.7.2 Time To Compile pts/askap-2.1.0 tConvolveOMP Test: tConvolve OpenMP - Degridding pts/askap-2.1.0 tConvolveOMP Test: tConvolve OpenMP - Gridding pts/embree-1.2.1 pathtracer_ispc -c asian_dragon/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon pts/basis-1.1.0 -uastc -uastc_level 2 Settings: UASTC Level 2 pts/onednn-1.7.0 --matmul --batch=inputs/matmul/shapes_transformer --cfg=f32 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU pts/onednn-1.7.0 --matmul --batch=inputs/matmul/shapes_transformer --cfg=u8s8f32 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU pts/tungsten-1.0.0 ../../data/example-scenes/non-exponential/scene.json Scene: Non-Exponential pts/kvazaar-1.0.0 -i Bosphorus_3840x2160.y4m --preset ultrafast Video Input: Bosphorus 4K - Video Preset: Ultra Fast pts/onednn-1.7.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=bf16bf16bf16 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU pts/dav1d-1.9.0 -i chimera_10b_1080p.ivf Video Input: Chimera 1080p 10-bit pts/toktx-1.0.0 --uastc 3 --zcmp 19 Settings: UASTC 3 + Zstd Compression 19 pts/toybrot-1.2.0 raymarched/STDTASKS/rmSTD_TASKS Implementation: C++ Tasks pts/onednn-1.7.0 --ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU pts/toybrot-1.2.0 raymarched/OMP/rmOpenMP Implementation: OpenMP pts/onednn-1.7.0 --ip --batch=inputs/ip/shapes_3d --cfg=u8s8f32 --engine=cpu Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU pts/toybrot-1.2.0 raymarched/STDTHREADS/rmSTD_THREADS Implementation: C++ Threads pts/pennant-1.1.0 leblancbig/leblancbig.pnt Test: leblancbig pts/npb-1.4.4 ft.C Test / Class: FT.C pts/rodinia-1.3.1 OMP_CFD Test: OpenMP CFD Solver pts/onednn-1.7.0 --conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU pts/onednn-1.7.0 --conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU pts/webp2-1.0.0 -q 100 -effort 5 Encode Settings: Quality 100, Compression Effort 5 pts/npb-1.4.4 cg.C Test / Class: CG.C pts/npb-1.4.4 sp.B Test / Class: SP.B pts/incompact3d-2.0.2 input_129_nodes.i3d Input: input.i3d 129 Cells Per Direction pts/toktx-1.0.0 --uastc 3 Settings: UASTC 3 pts/primesieve-1.7.0 1e12 Prime Number Generation pts/rays1bench-1.0.0 Large Scene pts/dav1d-1.9.0 -i summer_nature_4k.ivf Video Input: Summer Nature 4K pts/onednn-1.7.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU 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/astcenc-1.2.0 -thorough Preset: Thorough 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/npb-1.4.4 mg.C Test / Class: MG.C pts/npb-1.4.4 ep.C Test / Class: EP.C pts/onednn-1.7.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU 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/lammps-1.3.2 in.rhodo Model: Rhodopsin Protein 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-1.2.0 -medium Preset: Medium 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