New Tests

2 x Intel Xeon Platinum 8380 testing with a Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS) and ASPEED on Ubuntu 22.04 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 2209031-NE-2209025NE82
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AV1 2 Tests
Timed Code Compilation 3 Tests
C/C++ Compiler Tests 15 Tests
Compression Tests 2 Tests
CPU Massive 23 Tests
Creator Workloads 15 Tests
Database Test Suite 8 Tests
Encoding 6 Tests
Fortran Tests 2 Tests
Game Development 2 Tests
Go Language Tests 3 Tests
HPC - High Performance Computing 10 Tests
Imaging 3 Tests
Java 2 Tests
Common Kernel Benchmarks 3 Tests
Machine Learning 6 Tests
Molecular Dynamics 3 Tests
MPI Benchmarks 3 Tests
Multi-Core 23 Tests
Node.js + NPM Tests 2 Tests
NVIDIA GPU Compute 2 Tests
Intel oneAPI 4 Tests
OpenMPI Tests 3 Tests
Programmer / Developer System Benchmarks 6 Tests
Python Tests 4 Tests
Raytracing 2 Tests
Renderers 4 Tests
Scientific Computing 3 Tests
Server 13 Tests
Server CPU Tests 15 Tests
Single-Threaded 3 Tests
Video Encoding 6 Tests

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  Test
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CentOS Stream 9
August 31 2022
  23 Hours, 41 Minutes
Clear Linux 36990
September 01 2022
  19 Hours, 13 Minutes
Ubuntu 20.04.1 LTS
September 02 2022
  21 Hours, 41 Minutes
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  21 Hours, 32 Minutes

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New Tests Suite 1.0.0 System Test suite extracted from New Tests. pts/compress-7zip-1.10.0 Test: Compression Rating pts/compress-7zip-1.10.0 Test: Decompression Rating pts/apache-2.0.1 -c 1000 Concurrent Requests: 1000 pts/spark-1.0.0 -r 40000000 -p 500 Row Count: 40000000 - Partitions: 500 - SHA-512 Benchmark Time pts/spark-1.0.0 -r 40000000 -p 500 Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark pts/spark-1.0.0 -r 40000000 -p 500 Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.0 -r 40000000 -p 500 Row Count: 40000000 - Partitions: 500 - Group By Test Time pts/spark-1.0.0 -r 40000000 -p 500 Row Count: 40000000 - Partitions: 500 - Repartition Test Time pts/spark-1.0.0 -r 40000000 -p 500 Row Count: 40000000 - Partitions: 500 - Inner Join Test Time pts/spark-1.0.0 -r 40000000 -p 500 Row Count: 40000000 - Partitions: 500 - Broadcast Inner Join Test Time pts/astcenc-1.4.0 -fast -repeats 120 Preset: Fast pts/astcenc-1.4.0 -medium -repeats 20 Preset: Medium pts/astcenc-1.4.0 -thorough -repeats 10 Preset: Thorough pts/astcenc-1.4.0 -exhaustive -repeats 2 Preset: Exhaustive pts/blender-3.2.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: BMW27 - Compute: CPU-Only pts/blender-3.2.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Classroom - Compute: CPU-Only pts/blender-3.2.0 -b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Fishy Cat - Compute: CPU-Only pts/blender-3.2.0 -b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Barbershop - Compute: CPU-Only pts/blender-3.2.0 -b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Pabellon Barcelona - Compute: CPU-Only pts/blosc-1.2.0 blosclz shuffle Test: blosclz shuffle pts/blosc-1.2.0 blosclz bitshuffle Test: blosclz bitshuffle pts/clickhouse-1.1.0 100M Rows Web Analytics Dataset, First Run / Cold Cache pts/clickhouse-1.1.0 100M Rows Web Analytics Dataset, Second Run pts/clickhouse-1.1.0 100M Rows Web Analytics Dataset, Third Run pts/dacapobench-1.0.1 h2 Java Test: H2 pts/dacapobench-1.0.1 jython Java Test: Jython pts/dragonflydb-1.0.0 -c 50 --ratio=1:1 Clients: 50 - Set To Get Ratio: 1:1 pts/dragonflydb-1.0.0 -c 50 --ratio=1:5 Clients: 50 - Set To Get Ratio: 1:5 pts/dragonflydb-1.0.0 -c 50 --ratio=5:1 Clients: 50 - Set To Get Ratio: 5:1 pts/dragonflydb-1.0.0 -c 200 --ratio=1:1 Clients: 200 - Set To Get Ratio: 1:1 pts/dragonflydb-1.0.0 -c 200 --ratio=1:5 Clients: 200 - Set To Get Ratio: 1:5 pts/dragonflydb-1.0.0 -c 200 --ratio=5:1 Clients: 200 - Set To Get Ratio: 5:1 pts/graphics-magick-2.1.0 -swirl 90 Operation: Swirl pts/graphics-magick-2.1.0 -rotate 90 Operation: Rotate pts/graphics-magick-2.1.0 -sharpen 0x2.0 Operation: Sharpen pts/graphics-magick-2.1.0 -enhance Operation: Enhanced pts/graphics-magick-2.1.0 -resize 50% Operation: Resizing pts/graphics-magick-2.1.0 -operator all Noise-Gaussian 30% Operation: Noise-Gaussian pts/graphics-magick-2.1.0 -colorspace HWB Operation: HWB Color Space pts/gromacs-1.7.0 mpi-build water-cut1.0_GMX50_bare/1536 Implementation: MPI CPU - Input: water_GMX50_bare pts/hpcg-1.2.1 pts/influxdb-1.0.1 -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/keydb-1.3.1 pts/lammps-1.4.0 benchmark_20k_atoms.in Model: 20k Atoms pts/lammps-1.4.0 in.rhodo Model: Rhodopsin Protein pts/avifenc-1.2.0 -s 0 Encoder Speed: 0 pts/avifenc-1.2.0 -s 2 Encoder Speed: 2 pts/avifenc-1.2.0 -s 6 Encoder Speed: 6 pts/avifenc-1.2.0 -s 6 -l Encoder Speed: 6, Lossless pts/avifenc-1.2.0 -s 10 -l Encoder Speed: 10, Lossless pts/memtier-benchmark-1.4.0 -P redis -c 50 --ratio=5:1 Protocol: Redis - Clients: 50 - Set To Get Ratio: 5:1 pts/memtier-benchmark-1.4.0 -P redis -c 100 --ratio=5:1 Protocol: Redis - Clients: 100 - Set To Get Ratio: 5:1 pts/memtier-benchmark-1.4.0 -P redis -c 50 --ratio=1:10 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 pts/memtier-benchmark-1.4.0 -P redis -c 500 --ratio=5:1 Protocol: Redis - Clients: 500 - Set To Get Ratio: 5:1 pts/memtier-benchmark-1.4.0 -P redis -c 100 --ratio=1:10 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 pts/memtier-benchmark-1.4.0 -P redis -c 500 --ratio=1:10 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:10 pts/mnn-2.1.0 Model: nasnet pts/mnn-2.1.0 Model: mobilenetV3 pts/mnn-2.1.0 Model: squeezenetv1.1 pts/mnn-2.1.0 Model: resnet-v2-50 pts/mnn-2.1.0 Model: SqueezeNetV1.0 pts/mnn-2.1.0 Model: MobileNetV2_224 pts/mnn-2.1.0 Model: mobilenet-v1-1.0 pts/mnn-2.1.0 Model: inception-v3 pts/namd-1.2.1 ATPase Simulation - 327,506 Atoms pts/natron-1.1.0 Natron_2.3.12_Spaceship/Natron_project/Spaceship_Natron.ntp Input: Spaceship pts/nginx-2.0.1 -c 1000 Concurrent Requests: 1000 pts/node-express-loadtest-1.0.1 pts/node-web-tooling-1.0.1 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/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 --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 --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 --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 --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_inference_lb --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU 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/onnx-1.5.0 GPT2/model.onnx -e cpu -P Model: GPT-2 - Device: CPU - Executor: Parallel pts/onnx-1.5.0 GPT2/model.onnx -e cpu Model: GPT-2 - Device: CPU - Executor: Standard pts/onnx-1.5.0 yolov4/yolov4.onnx -e cpu -P Model: yolov4 - Device: CPU - Executor: Parallel pts/onnx-1.5.0 yolov4/yolov4.onnx -e cpu Model: yolov4 - Device: CPU - Executor: Standard pts/onnx-1.5.0 bertsquad-12/bertsquad-12.onnx -e cpu -P Model: bertsquad-12 - Device: CPU - Executor: Parallel pts/onnx-1.5.0 bertsquad-12/bertsquad-12.onnx -e cpu Model: bertsquad-12 - Device: CPU - Executor: Standard pts/onnx-1.5.0 fcn-resnet101-11/model.onnx -e cpu -P Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel pts/onnx-1.5.0 fcn-resnet101-11/model.onnx -e cpu Model: fcn-resnet101-11 - Device: CPU - Executor: Standard pts/onnx-1.5.0 resnet100/resnet100.onnx -e cpu -P Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel pts/onnx-1.5.0 resnet100/resnet100.onnx -e cpu Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard pts/onnx-1.5.0 super_resolution/super_resolution.onnx -e cpu -P Model: super-resolution-10 - Device: CPU - Executor: Parallel pts/onnx-1.5.0 super_resolution/super_resolution.onnx -e cpu Model: super-resolution-10 - Device: CPU - Executor: Standard system/openssl-1.1.2 pts/openvino-1.1.0 -m models/intel/face-detection-0206/FP16/face-detection-0206.xml -d CPU Model: Face Detection FP16 - Device: CPU pts/openvino-1.1.0 -m models/intel/person-detection-0106/FP16/person-detection-0106.xml -d CPU Model: Person Detection FP16 - Device: CPU pts/openvino-1.1.0 -m models/intel/person-detection-0106/FP32/person-detection-0106.xml -d CPU Model: Person Detection FP32 - Device: CPU pts/openvino-1.1.0 -m models/intel/vehicle-detection-0202/FP16/vehicle-detection-0202.xml -d CPU Model: Vehicle Detection FP16 - Device: CPU pts/openvino-1.1.0 -m models/intel/face-detection-0206/FP16-INT8/face-detection-0206.xml -d CPU Model: Face Detection FP16-INT8 - Device: CPU pts/openvino-1.1.0 -m models/intel/vehicle-detection-0202/FP16-INT8/vehicle-detection-0202.xml -d CPU Model: Vehicle Detection FP16-INT8 - Device: CPU pts/openvino-1.1.0 -m models/intel/weld-porosity-detection-0001/FP16/weld-porosity-detection-0001.xml -d CPU Model: Weld Porosity Detection FP16 - Device: CPU pts/openvino-1.1.0 -m models/intel/machine-translation-nar-en-de-0002/FP16/machine-translation-nar-en-de-0002.xml -d CPU Model: Machine Translation EN To DE FP16 - Device: CPU pts/openvino-1.1.0 -m models/intel/weld-porosity-detection-0001/FP16-INT8/weld-porosity-detection-0001.xml -d CPU Model: Weld Porosity Detection FP16-INT8 - Device: CPU pts/openvino-1.1.0 -m models/intel/person-vehicle-bike-detection-2004/FP16/person-vehicle-bike-detection-2004.xml -d CPU Model: Person Vehicle Bike Detection FP16 - Device: CPU pts/openvino-1.1.0 -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-1.1.0 -m models/intel/age-gender-recognition-retail-0013/FP16-INT8/age-gender-recognition-retail-0013.xml -d CPU Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU pts/ospray-2.10.0 --benchmark_filter=particle_volume/ao/real_time Benchmark: particle_volume/ao/real_time pts/ospray-2.10.0 --benchmark_filter=particle_volume/scivis/real_time Benchmark: particle_volume/scivis/real_time pts/ospray-2.10.0 --benchmark_filter=particle_volume/pathtracer/real_time Benchmark: particle_volume/pathtracer/real_time pts/ospray-2.10.0 --benchmark_filter=gravity_spheres_volume/dim_512/ao/real_time Benchmark: gravity_spheres_volume/dim_512/ao/real_time pts/ospray-2.10.0 --benchmark_filter=gravity_spheres_volume/dim_512/scivis/real_time Benchmark: gravity_spheres_volume/dim_512/scivis/real_time pts/ospray-2.10.0 --benchmark_filter=gravity_spheres_volume/dim_512/pathtracer/real_time Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time pts/ospray-studio-1.1.0 --cameras 1 1 --resolution 3840 2160 --spp 16 --renderer pathtracer Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer pts/ospray-studio-1.1.0 --cameras 1 1 --resolution 3840 2160 --spp 32 --renderer pathtracer Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer pts/ospray-studio-1.1.0 --cameras 2 2 --resolution 3840 2160 --spp 16 --renderer pathtracer Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer pts/ospray-studio-1.1.0 --cameras 2 2 --resolution 3840 2160 --spp 32 --renderer pathtracer Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer pts/ospray-studio-1.1.0 --cameras 3 3 --resolution 3840 2160 --spp 16 --renderer pathtracer Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer pts/ospray-studio-1.1.0 --cameras 3 3 --resolution 3840 2160 --spp 32 --renderer pathtracer Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer pts/pgbench-1.11.1 -s 100 -c 250 -S Scaling Factor: 100 - Clients: 250 - Mode: Read Only pts/pgbench-1.11.1 -s 100 -c 250 -S Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency pts/pgbench-1.11.1 -s 100 -c 500 -S Scaling Factor: 100 - Clients: 500 - Mode: Read Only pts/pgbench-1.11.1 -s 100 -c 500 -S Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency pts/pgbench-1.11.1 -s 100 -c 250 Scaling Factor: 100 - Clients: 250 - Mode: Read Write pts/pgbench-1.11.1 -s 100 -c 250 Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency pts/pgbench-1.11.1 -s 100 -c 500 Scaling Factor: 100 - Clients: 500 - Mode: Read Write pts/pgbench-1.11.1 -s 100 -c 500 Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency pts/redis-1.4.0 -t get -c 50 Test: GET - Parallel Connections: 50 pts/redis-1.4.0 -t set -c 50 Test: SET - Parallel Connections: 50 pts/redis-1.4.0 -t get -c 500 Test: GET - Parallel Connections: 500 pts/redis-1.4.0 -t set -c 500 Test: SET - Parallel Connections: 500 pts/redis-1.4.0 -t get -c 1000 Test: GET - Parallel Connections: 1000 pts/redis-1.4.0 -t set -c 1000 Test: SET - Parallel Connections: 1000 pts/renaissance-1.3.0 dec-tree Test: Random Forest pts/renaissance-1.3.0 movie-lens Test: ALS Movie Lens pts/renaissance-1.3.0 naive-bayes Test: Apache Spark Bayes pts/renaissance-1.3.0 reactors Test: Savina Reactors.IO pts/renaissance-1.3.0 finagle-http Test: Finagle HTTP Requests pts/renaissance-1.3.0 db-shootout Test: In-Memory Database Shootout pts/simdjson-2.0.1 kostya Throughput Test: Kostya pts/simdjson-2.0.1 top_tweet Throughput Test: TopTweet pts/simdjson-2.0.1 large_random Throughput Test: LargeRandom pts/simdjson-2.0.1 partial_tweets Throughput Test: PartialTweets pts/simdjson-2.0.1 distinct_user_id Throughput Test: DistinctUserID pts/stockfish-1.4.0 Total Time pts/stress-ng-1.5.1 --mmap 0 Test: MMAP pts/stress-ng-1.5.1 --numa 0 Test: NUMA pts/stress-ng-1.5.1 --futex 0 Test: Futex pts/stress-ng-1.5.1 --memfd 0 Test: MEMFD pts/stress-ng-1.5.1 --atomic 0 Test: Atomic pts/stress-ng-1.5.1 --crypt 0 Test: Crypto pts/stress-ng-1.5.1 --malloc 0 Test: Malloc pts/stress-ng-1.5.1 --fork 0 Test: Forking pts/stress-ng-1.5.1 --io-uring 0 Test: IO_uring pts/stress-ng-1.5.1 --sendfile 0 Test: SENDFILE pts/stress-ng-1.5.1 --cache 0 Test: CPU Cache pts/stress-ng-1.5.1 --cpu 0 --cpu-method all Test: CPU Stress pts/stress-ng-1.5.1 --sem 0 Test: Semaphores pts/stress-ng-1.5.1 --matrix 0 Test: Matrix Math pts/stress-ng-1.5.1 --vecmath 0 Test: Vector Math pts/stress-ng-1.5.1 --rdrand 0 Test: x86_64 RdRand pts/stress-ng-1.5.1 --memcpy 0 Test: Memory Copying pts/stress-ng-1.5.1 --sock 0 Test: Socket Activity pts/stress-ng-1.5.1 --switch 0 Test: Context Switching pts/stress-ng-1.5.1 --str 0 Test: Glibc C String Functions pts/stress-ng-1.5.1 --qsort 0 Test: Glibc Qsort Data Sorting pts/stress-ng-1.5.1 --msg 0 Test: System V Message Passing pts/svt-av1-2.6.0 --preset 4 -n 160 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 4 - Input: Bosphorus 4K pts/svt-av1-2.6.0 --preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 8 - Input: Bosphorus 4K pts/svt-av1-2.6.0 --preset 10 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 10 - Input: Bosphorus 4K pts/svt-av1-2.6.0 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K pts/svt-hevc-1.2.1 -encMode 7 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: 7 - Input: Bosphorus 4K pts/svt-hevc-1.2.1 -encMode 10 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: 10 - Input: Bosphorus 4K pts/svt-vp9-1.3.1 -tune 2 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: VMAF Optimized - Input: Bosphorus 4K pts/svt-vp9-1.3.1 -tune 1 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K pts/svt-vp9-1.3.1 -tune 0 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: Visual Quality Optimized - Input: Bosphorus 4K pts/tensorflow-lite-1.1.0 --graph=squeezenet.tflite Model: SqueezeNet pts/tensorflow-lite-1.1.0 --graph=inception_v4.tflite Model: Inception V4 pts/tensorflow-lite-1.1.0 --graph=nasnet_mobile.tflite Model: NASNet Mobile pts/tensorflow-lite-1.1.0 --graph=mobilenet_v1_1.0_224.tflite Model: Mobilenet Float pts/tensorflow-lite-1.1.0 --graph=mobilenet_v1_1.0_224_quant.tflite Model: Mobilenet Quant pts/tensorflow-lite-1.1.0 --graph=inception_resnet_v2.tflite Model: Inception ResNet V2 pts/build-gdb-1.1.0 Time To Compile pts/build-linux-kernel-1.14.0 defconfig Build: defconfig pts/build-llvm-1.4.0 Ninja Build System: Ninja pts/tnn-1.1.0 -dt NAIVE -mp ../benchmark/benchmark-model/densenet.tnnproto Target: CPU - Model: DenseNet pts/tnn-1.1.0 -dt NAIVE -mp ../benchmark/benchmark-model/mobilenet_v2.tnnproto Target: CPU - Model: MobileNet v2 pts/tnn-1.1.0 -dt NAIVE -mp ../benchmark/benchmark-model/shufflenet_v2.tnnproto Target: CPU - Model: SqueezeNet v2 pts/tnn-1.1.0 -dt NAIVE -mp ../benchmark/benchmark-model/squeezenet_v1.1.tnnproto Target: CPU - Model: SqueezeNet v1.1 pts/unpack-linux-1.2.0 linux-5.19.tar.xz pts/vpxenc-3.1.0 --cpu-used=0 ~/Bosphorus_3840x2160.y4m --width=3840 --height=2160 Speed: Speed 0 - Input: Bosphorus 4K 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/x264-2.7.0 Bosphorus_3840x2160.y4m Video Input: Bosphorus 4K system/compress-zstd-1.5.0 -b3 Compression Level: 3 - Compression Speed system/compress-zstd-1.5.0 -b3 Compression Level: 3 - Decompression Speed system/compress-zstd-1.5.0 -b8 Compression Level: 8 - Compression Speed system/compress-zstd-1.5.0 -b8 Compression Level: 8 - Decompression Speed system/compress-zstd-1.5.0 -b19 Compression Level: 19 - Compression Speed system/compress-zstd-1.5.0 -b19 Compression Level: 19 - Decompression Speed system/compress-zstd-1.5.0 -b3 --long Compression Level: 3, Long Mode - Compression Speed system/compress-zstd-1.5.0 -b3 --long Compression Level: 3, Long Mode - Decompression Speed system/compress-zstd-1.5.0 -b8 --long Compression Level: 8, Long Mode - Compression Speed system/compress-zstd-1.5.0 -b8 --long Compression Level: 8, Long Mode - Decompression Speed system/compress-zstd-1.5.0 -b19 --long Compression Level: 19, Long Mode - Compression Speed system/compress-zstd-1.5.0 -b19 --long Compression Level: 19, Long Mode - Decompression Speed