cascade lake summer 2022

2 x Intel Xeon Platinum 8280 testing with a GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS) and llvmpipe 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 2206050-NE-CASCADELA50
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AV1 3 Tests
C/C++ Compiler Tests 9 Tests
CPU Massive 10 Tests
Creator Workloads 10 Tests
Encoding 6 Tests
Go Language Tests 2 Tests
HPC - High Performance Computing 4 Tests
Java 2 Tests
Common Kernel Benchmarks 4 Tests
Machine Learning 3 Tests
Multi-Core 11 Tests
Intel oneAPI 3 Tests
Programmer / Developer System Benchmarks 2 Tests
Raytracing 2 Tests
Renderers 2 Tests
Server 4 Tests
Server CPU Tests 8 Tests
Single-Threaded 2 Tests
Video Encoding 6 Tests

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June 04 2022
  4 Hours, 3 Minutes
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June 05 2022
  4 Hours, 2 Minutes
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June 05 2022
  4 Hours, 2 Minutes
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cascade lake summer 2022 Suite 1.0.0 System Test suite extracted from cascade lake summer 2022. pts/stress-ng-1.5.1 --cache 0 Test: CPU Cache pts/onnx-1.5.0 super_resolution/super_resolution.onnx -e cpu Model: super-resolution-10 - Device: CPU - Executor: Standard pts/onnx-1.5.0 fcn-resnet101-11/model.onnx -e cpu Model: fcn-resnet101-11 - Device: CPU - Executor: Standard pts/apache-2.0.1 -c 20 Concurrent Requests: 20 pts/onnx-1.5.0 bertsquad-12/bertsquad-12.onnx -e cpu Model: bertsquad-12 - Device: CPU - Executor: Standard pts/perf-bench-1.0.4 epoll wait -r 30 Benchmark: Epoll Wait pts/apache-2.0.1 -c 200 Concurrent Requests: 200 pts/apache-2.0.1 -c 1000 Concurrent Requests: 1000 pts/renaissance-1.3.0 dotty Test: Scala Dotty 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/onnx-1.5.0 GPT2/model.onnx -e cpu Model: GPT-2 - Device: CPU - Executor: Standard 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/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/aom-av1-3.3.0 --cpu-used=6 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K pts/stress-ng-1.5.1 --atomic 0 Test: Atomic pts/renaissance-1.3.0 reactors Test: Savina Reactors.IO pts/svt-vp9-1.3.1 -tune 2 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: VMAF Optimized - Input: Bosphorus 1080p pts/x264-2.7.0 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Video Input: Bosphorus 1080p pts/aom-av1-3.3.0 --cpu-used=6 Bosphorus_3840x2160.y4m Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K pts/svt-vp9-1.3.1 -tune 0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p pts/svt-vp9-1.3.1 -tune 2 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: VMAF Optimized - Input: Bosphorus 4K pts/renaissance-1.3.0 db-shootout Test: In-Memory Database Shootout pts/svt-vp9-1.3.1 -tune 1 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K pts/stress-ng-1.5.1 --futex 0 Test: Futex pts/avifenc-1.2.0 -s 6 Encoder Speed: 6 pts/avifenc-1.2.0 -s 2 Encoder Speed: 2 pts/renaissance-1.3.0 als Test: Apache Spark ALS pts/svt-vp9-1.3.1 -tune 1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p pts/renaissance-1.3.0 dec-tree Test: Random Forest pts/perf-bench-1.0.4 mem memcpy -l 100000 -s 1MB Benchmark: Memcpy 1MB pts/renaissance-1.3.0 finagle-http Test: Finagle HTTP Requests pts/aom-av1-3.3.0 --cpu-used=10 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K pts/tensorflow-lite-1.1.0 --graph=inception_resnet_v2.tflite Model: Inception ResNet V2 pts/svt-vp9-1.3.1 -tune 0 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: Visual Quality Optimized - Input: Bosphorus 4K pts/perf-bench-1.0.4 sched pipe -l 5000000 Benchmark: Sched Pipe 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/tensorflow-lite-1.1.0 --graph=mobilenet_v1_1.0_224_quant.tflite Model: Mobilenet Quant pts/stress-ng-1.5.1 --numa 0 Test: NUMA 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/perf-bench-1.0.4 mem memset -l 100000 -s 1MB Benchmark: Memset 1MB pts/apache-2.0.1 -c 100 Concurrent Requests: 100 pts/svt-av1-2.5.0 --preset 8 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 8 - Input: Bosphorus 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=4 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p 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/perf-bench-1.0.4 futex lock-pi -r 30 -s Benchmark: Futex Lock-Pi pts/renaissance-1.3.0 future-genetic Test: Genetic Algorithm Using Jenetics + Futures 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 pts/renaissance-1.3.0 movie-lens Test: ALS Movie Lens pts/apache-2.0.1 -c 500 Concurrent Requests: 500 pts/svt-hevc-1.2.1 -encMode 7 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: 7 - Input: Bosphorus 4K pts/svt-av1-2.5.0 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K pts/apache-2.0.1 -c 1 Concurrent Requests: 1 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/nginx-2.0.1 -c 500 Concurrent Requests: 500 pts/renaissance-1.3.0 akka-uct Test: Akka Unbalanced Cobwebbed Tree 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/svt-hevc-1.2.1 -encMode 7 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: 7 - Input: Bosphorus 1080p pts/svt-av1-2.5.0 --preset 10 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 10 - Input: Bosphorus 4K pts/tensorflow-lite-1.1.0 --graph=nasnet_mobile.tflite Model: NASNet Mobile pts/svt-av1-2.5.0 --preset 10 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 10 - Input: Bosphorus 1080p 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/svt-av1-2.5.0 --preset 4 -n 160 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 4 - Input: Bosphorus 4K pts/nettle-1.1.0 aes256 Test: aes256 pts/stress-ng-1.5.1 --sock 0 Test: Socket Activity pts/rocksdb-1.2.0 --benchmarks="readwhilewriting" Test: Read While Writing pts/simdjson-2.0.0 kostya Throughput Test: Kostya pts/nettle-1.1.0 chacha Test: chacha pts/etcpak-1.1.0 -b -M --rgba --dxtc Benchmark: Multi-Threaded - Configuration: DXT1 pts/svt-av1-2.5.0 --preset 12 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 12 - Input: Bosphorus 1080p pts/tensorflow-lite-1.1.0 --graph=squeezenet.tflite Model: SqueezeNet 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/stress-ng-1.5.1 --switch 0 Test: Context Switching pts/nettle-1.1.0 sha512 Test: sha512 pts/svt-av1-2.5.0 --preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 8 - Input: Bosphorus 4K pts/nginx-2.0.1 -c 20 Concurrent Requests: 20 pts/avifenc-1.2.0 -s 6 -l Encoder Speed: 6, Lossless pts/stress-ng-1.5.1 --str 0 Test: Glibc C String Functions pts/tensorflow-lite-1.1.0 --graph=inception_v4.tflite Model: Inception V4 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/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/renaissance-1.3.0 page-rank Test: Apache Spark PageRank pts/renaissance-1.3.0 naive-bayes Test: Apache Spark Bayes pts/perf-bench-1.0.4 syscall basic -l 100000000 Benchmark: Syscall Basic pts/rocksdb-1.2.0 --benchmarks="readrandom" Test: Random Read pts/glibc-bench-1.7.2 bench-log2 Benchmark: log2 pts/etcpak-1.1.0 -b -M --rgba Benchmark: Multi-Threaded - Configuration: ETC2 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/aom-av1-3.3.0 --cpu-used=8 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K 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/etcpak-1.1.0 -b --rgba --dxtc Benchmark: Single-Threaded - Configuration: DXT1 pts/rocksdb-1.2.0 --benchmarks="readrandomwriterandom" Test: Read Random Write Random pts/svt-hevc-1.2.1 -encMode 10 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: 10 - Input: Bosphorus 4K pts/onnx-1.5.0 yolov4/yolov4.onnx -e cpu Model: yolov4 - Device: CPU - Executor: Standard 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/svt-av1-2.5.0 --preset 4 -n 160 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 4 - Input: Bosphorus 1080p pts/java-jmh-1.0.1 Throughput pts/stress-ng-1.5.1 --mmap 0 Test: MMAP pts/nettle-1.1.0 poly1305-aes Test: poly1305-aes 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/nginx-2.0.1 -c 100 Concurrent Requests: 100 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/simdjson-2.0.0 large_random Throughput Test: LargeRandom pts/nginx-2.0.1 -c 200 Concurrent Requests: 200 pts/aom-av1-3.3.0 --cpu-used=4 Bosphorus_3840x2160.y4m Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K pts/glibc-bench-1.7.2 bench-modf Benchmark: modf pts/ospray-2.9.0 --benchmark_filter=particle_volume/ao/real_time Benchmark: particle_volume/ao/real_time pts/ospray-2.9.0 --benchmark_filter=particle_volume/scivis/real_time Benchmark: particle_volume/scivis/real_time pts/svt-hevc-1.2.1 -encMode 10 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: 10 - Input: Bosphorus 1080p pts/glibc-bench-1.7.2 bench-cos Benchmark: cos pts/glibc-bench-1.7.2 bench-sin Benchmark: sin 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/nginx-2.0.1 -c 1 Concurrent Requests: 1 pts/glibc-bench-1.7.2 bench-pthread_once Benchmark: pthread_once pts/tensorflow-lite-1.1.0 --graph=mobilenet_v1_1.0_224.tflite Model: Mobilenet Float pts/ospray-2.9.0 --benchmark_filter=particle_volume/pathtracer/real_time Benchmark: particle_volume/pathtracer/real_time pts/x264-2.7.0 Bosphorus_3840x2160.y4m Video Input: Bosphorus 4K pts/simdjson-2.0.0 partial_tweets Throughput Test: PartialTweets pts/avifenc-1.2.0 -s 0 Encoder Speed: 0 pts/glibc-bench-1.7.2 bench-sinh Benchmark: sinh 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/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/glibc-bench-1.7.2 bench-sqrt Benchmark: sqrt pts/build-mplayer-1.5.0 Time To Compile pts/glibc-bench-1.7.2 bench-exp Benchmark: exp pts/glibc-bench-1.7.2 bench-ffs Benchmark: ffs pts/simdjson-2.0.0 distinct_user_id Throughput Test: DistinctUserID pts/stress-ng-1.5.1 --vecmath 0 Test: Vector Math 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/stress-ng-1.5.1 --cpu 0 --cpu-method all Test: CPU Stress pts/stress-ng-1.5.1 --fork 0 Test: Forking 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/onnx-1.5.0 resnet100/resnet100.onnx -e cpu Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard 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/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/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/stress-ng-1.5.1 --msg 0 Test: System V Message Passing 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/nginx-2.0.1 -c 1000 Concurrent Requests: 1000 pts/stress-ng-1.5.1 --memcpy 0 Test: Memory Copying pts/gromacs-1.7.0 mpi-build water-cut1.0_GMX50_bare/1536 Implementation: MPI CPU - Input: water_GMX50_bare pts/stress-ng-1.5.1 --malloc 0 Test: Malloc 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/avifenc-1.2.0 -s 10 -l Encoder Speed: 10, Lossless pts/svt-hevc-1.2.1 -encMode 1 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: 1 - Input: Bosphorus 4K pts/svt-hevc-1.2.1 -encMode 1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: 1 - Input: Bosphorus 1080p pts/simdjson-2.0.0 top_tweet Throughput Test: TopTweet 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/stress-ng-1.5.1 --sem 0 Test: Semaphores pts/etcpak-1.1.0 -b --rgba Benchmark: Single-Threaded - Configuration: ETC2 pts/glibc-bench-1.7.2 bench-ffsll Benchmark: ffsll pts/stress-ng-1.5.1 --io-uring 0 Test: IO_uring 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/perf-bench-1.0.4 futex hash -r 30 -s Benchmark: Futex Hash 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 16 --renderer pathtracer Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer 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_3d --cfg=bf16bf16bf16 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU pts/glibc-bench-1.7.2 bench-atanh Benchmark: atanh 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/glibc-bench-1.7.2 bench-tanh Benchmark: tanh pts/stress-ng-1.5.1 --memfd 0 Test: MEMFD 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/glibc-bench-1.7.2 bench-sincos Benchmark: sincos 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/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/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/rocksdb-1.2.0 --benchmarks="updaterandom" Test: Update Random pts/stress-ng-1.5.1 --sendfile 0 Test: SENDFILE pts/glibc-bench-1.7.2 bench-asinh Benchmark: asinh pts/stress-ng-1.5.1 --qsort 0 Test: Glibc Qsort Data Sorting pts/stress-ng-1.5.1 --matrix 0 Test: Matrix Math pts/stress-ng-1.5.1 --crypt 0 Test: Crypto 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/stress-ng-1.5.1 --rdrand 0 Test: x86_64 RdRand 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/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/aom-av1-3.3.0 --cpu-used=0 --limit=20 Bosphorus_3840x2160.y4m Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K