Ubuntu 22.04 Server Benchmarks

AMD EPYC 7713 64-Core testing with a AMD DAYTONA_X (RYM1009B 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 2209132-NE-UBUNTU22004
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Audio Encoding 2 Tests
AV1 3 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 5 Tests
C++ Boost Tests 5 Tests
Chess Test Suite 4 Tests
Timed Code Compilation 12 Tests
C/C++ Compiler Tests 22 Tests
Compression Tests 3 Tests
CPU Massive 45 Tests
Creator Workloads 33 Tests
Cryptography 5 Tests
Database Test Suite 8 Tests
Encoding 9 Tests
Fortran Tests 7 Tests
Game Development 7 Tests
Go Language Tests 3 Tests
HPC - High Performance Computing 29 Tests
Imaging 7 Tests
Java 2 Tests
Common Kernel Benchmarks 5 Tests
LAPACK (Linear Algebra Pack) Tests 3 Tests
Linear Algebra 2 Tests
Machine Learning 7 Tests
Molecular Dynamics 9 Tests
MPI Benchmarks 8 Tests
Multi-Core 51 Tests
Node.js + NPM Tests 2 Tests
NVIDIA GPU Compute 5 Tests
Intel oneAPI 5 Tests
OpenMPI Tests 18 Tests
Programmer / Developer System Benchmarks 19 Tests
Python 5 Tests
Quantum Mechanics 2 Tests
Raytracing 2 Tests
Renderers 6 Tests
Scientific Computing 15 Tests
Software Defined Radio 3 Tests
Server 16 Tests
Server CPU Tests 30 Tests
Single-Threaded 9 Tests
Telephony 2 Tests
Texture Compression 4 Tests
Video Encoding 7 Tests
Common Workstation Benchmarks 5 Tests

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EPYC 7713 2P
September 08 2022
  1 Day, 15 Hours, 49 Minutes
EPYC 7713
September 11 2022
  1 Day, 16 Hours, 26 Minutes
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  1 Day, 16 Hours, 7 Minutes
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Ubuntu 22.04 Server Benchmarks Suite 1.0.0 System Test suite extracted from Ubuntu 22.04 Server Benchmarks. pts/wrf-1.0.1 -i conus 2.5km Input: conus 2.5km pts/openfoam-1.1.2 incompressible/simpleFoam/drivaerFastback/ -m L Input: drivaerFastback, Large Mesh Size - Execution Time pts/openfoam-1.1.2 incompressible/simpleFoam/drivaerFastback/ -m L Input: drivaerFastback, Large Mesh Size - Mesh Time pts/spec-jbb2015-1.0.1 SPECjbb2015-Composite critical-jOPS pts/spec-jbb2015-1.0.1 SPECjbb2015-Composite max-jOPS pts/mysqlslap-1.3.0 --concurrency=4096 Clients: 4096 pts/mysqlslap-1.3.0 --concurrency=2048 Clients: 2048 pts/nwchem-1.1.1 Input: C240 Buckyball pts/renaissance-1.3.0 movie-lens Test: ALS Movie Lens pts/relion-1.0.1 --iter 1 --cpu --j 2 Test: Basic - Device: CPU pts/brl-cad-1.3.0 VGR Performance Metric pts/incompact3d-2.0.2 input.i3d Input: X3D-benchmarking input.i3d pts/rodinia-1.3.2 OMP_HOTSPOT3D Test: OpenMP HotSpot3D pts/stockfish-1.4.0 Total Time pts/lczero-1.6.0 -b eigen Backend: Eigen pts/lczero-1.6.0 -b blas Backend: BLAS pts/renaissance-1.3.0 reactors Test: Savina Reactors.IO pts/qe-1.3.1 ausurf.in Input: AUSURF112 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/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 250 Scaling Factor: 100 - Clients: 250 - Mode: Read Write pts/asmfish-1.1.2 1024 Hash Memory, 26 Depth pts/pgbench-1.11.1 -s 100 -c 500 Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency pts/pgbench-1.11.1 -s 100 -c 500 Scaling Factor: 100 - Clients: 500 - Mode: Read Write pts/renaissance-1.3.0 page-rank Test: Apache Spark PageRank pts/graph500-1.0.1 26 Scale: 26 pts/onnx-1.5.0 resnet100/resnet100.onnx -e cpu Model: ArcFace ResNet-100 - 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/onnx-1.5.0 yolov4/yolov4.onnx -e cpu Model: yolov4 - Device: CPU - Executor: Standard pts/onnx-1.5.0 super_resolution/super_resolution.onnx -e cpu Model: super-resolution-10 - Device: CPU - Executor: Standard pts/jpegxl-1.4.0 sample-4.png out.jxl -s 8 --num_reps 12 Input: PNG - Encode Speed: 8 pts/securemark-1.0.0 Benchmark: SecureMark-TLS pts/hpcg-1.2.1 pts/luaradio-1.0.0 Test: Complex Phase pts/luaradio-1.0.0 Test: Hilbert Transform pts/luaradio-1.0.0 Test: FM Deemphasis Filter pts/luaradio-1.0.0 Test: Five Back to Back FIR Filters pts/blender-3.3.0 -b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Barbershop - Compute: CPU-Only pts/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/mlpack-1.0.2 SCIKIT_QDA Benchmark: scikit_qda pts/build-linux-kernel-1.14.0 allmodconfig Build: allmodconfig pts/tnn-1.1.0 -dt NAIVE -mp ../benchmark/benchmark-model/densenet.tnnproto Target: CPU - Model: DenseNet pts/openfoam-1.1.2 incompressible/simpleFoam/drivaerFastback/ -m S Input: drivaerFastback, Small Mesh Size - Execution Time pts/openfoam-1.1.2 incompressible/simpleFoam/drivaerFastback/ -m S Input: drivaerFastback, Small Mesh Size - Mesh Time pts/build-llvm-1.4.0 Build System: Unix Makefiles pts/numpy-1.2.1 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/compress-lz4-1.0.0 -b3 -e3 Compression Level: 3 - Decompression Speed pts/compress-lz4-1.0.0 -b3 -e3 Compression Level: 3 - Compression Speed pts/openssl-3.0.1 sha256 Algorithm: SHA256 pts/build-gem5-1.0.0 Time To Compile pts/appleseed-1.0.1 material_tester_ambient_occlusion.appleseed Scene: Material Tester pts/webp2-1.2.0 -q 95 -effort 7 Encode Settings: Quality 95, Compression Effort 7 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/build-nodejs-1.2.0 Time To Compile 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 500 -S Scaling Factor: 100 - Clients: 500 - 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 250 -S Scaling Factor: 100 - Clients: 250 - Mode: Read Only 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/ngspice-1.0.0 ~/iscas85Circuits/85/c2670/c2670_ann.net Circuit: C2670 pts/build-llvm-1.4.0 Ninja Build System: Ninja pts/vpxenc-3.1.0 --cpu-used=5 ~/Bosphorus_3840x2160.y4m --width=3840 --height=2160 Speed: Speed 5 - Input: Bosphorus 4K pts/luxcorerender-1.4.0 OrangeJuice/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: Orange Juice - Acceleration: CPU pts/cassandra-1.1.1 WRITE Test: Writes pts/clickhouse-1.1.0 100M Rows Web Analytics Dataset, Third Run pts/clickhouse-1.1.0 100M Rows Web Analytics Dataset, Second Run pts/clickhouse-1.1.0 100M Rows Web Analytics Dataset, First Run / Cold Cache pts/ospray-studio-1.1.0 --cameras 3 3 --resolution 3840 2160 --spp 1 --renderer pathtracer Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - 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/onnx-1.5.0 GPT2/model.onnx -e cpu Model: GPT-2 - Device: CPU - Executor: Standard pts/onnx-1.5.0 bertsquad-12/bertsquad-12.onnx -e cpu Model: bertsquad-12 - Device: CPU - Executor: Standard 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 1 --renderer pathtracer Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - 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 1 1 --resolution 3840 2160 --spp 1 --renderer pathtracer Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer 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/renaissance-1.3.0 future-genetic Test: Genetic Algorithm Using Jenetics + Futures pts/npb-1.4.5 ep.D Test / Class: EP.D pts/renaissance-1.3.0 db-shootout Test: In-Memory Database Shootout pts/renaissance-1.3.0 finagle-http Test: Finagle HTTP Requests pts/ngspice-1.0.0 ~/iscas85Circuits/85/c7552p/c7552_ann.net Circuit: C7552 pts/etcd-1.0.0 range KEY --total=4000000 --conns 100 --clients 100 Test: RANGE - Connections: 100 - Clients: 100 - Average Latency pts/etcd-1.0.0 range KEY --total=4000000 --conns 100 --clients 100 Test: RANGE - Connections: 100 - Clients: 100 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/jpegxl-1.4.0 sample-4.png out.jxl -s 7 --num_reps 45 Input: PNG - Encode Speed: 7 pts/appleseed-1.0.1 emily.appleseed Scene: Emily 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/simdjson-2.0.1 distinct_user_id Throughput Test: DistinctUserID pts/simdjson-2.0.1 top_tweet Throughput Test: TopTweet pts/apache-2.0.1 -c 1000 Concurrent Requests: 1000 pts/helsing-1.0.2 10000000000000 99999999999999 Digit Range: 14 digit pts/simdjson-2.0.1 partial_tweets Throughput Test: PartialTweets pts/apache-2.0.1 -c 500 Concurrent Requests: 500 pts/nginx-2.0.1 -c 500 Concurrent Requests: 500 pts/nginx-2.0.1 -c 1000 Concurrent Requests: 1000 pts/sysbench-1.1.0 cpu run Test: CPU pts/build-python-1.0.0 --enable-optimizations --with-lto Build Configuration: Released Build, PGO + LTO Optimized pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 100 --clients 100 Test: PUT - Connections: 100 - Clients: 100 - Average Latency pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 100 --clients 100 Test: PUT - Connections: 100 - Clients: 100 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/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/etcd-1.0.0 range KEY --total=4000000 --conns 500 --clients 100 Test: RANGE - Connections: 500 - Clients: 100 - Average Latency pts/etcd-1.0.0 range KEY --total=4000000 --conns 500 --clients 100 Test: RANGE - Connections: 500 - Clients: 100 pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 500 --clients 100 Test: PUT - Connections: 500 - Clients: 100 - Average Latency pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 500 --clients 100 Test: PUT - Connections: 500 - Clients: 100 pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 100 --clients 1000 Test: PUT - Connections: 100 - Clients: 1000 - Average Latency pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 100 --clients 1000 Test: PUT - Connections: 100 - Clients: 1000 pts/etcd-1.0.0 range KEY --total=4000000 --conns 100 --clients 1000 Test: RANGE - Connections: 100 - Clients: 1000 - Average Latency pts/etcd-1.0.0 range KEY --total=4000000 --conns 100 --clients 1000 Test: RANGE - Connections: 100 - Clients: 1000 pts/ebizzy-1.0.4 pts/node-web-tooling-1.0.1 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/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 500 --clients 1000 Test: PUT - Connections: 500 - Clients: 1000 - Average Latency pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 500 --clients 1000 Test: PUT - Connections: 500 - Clients: 1000 pts/etcd-1.0.0 range KEY --total=4000000 --conns 500 --clients 1000 Test: RANGE - Connections: 500 - Clients: 1000 - Average Latency pts/etcd-1.0.0 range KEY --total=4000000 --conns 500 --clients 1000 Test: RANGE - Connections: 500 - Clients: 1000 pts/blender-3.3.0 -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/openvino-1.1.0 -m models/intel/person-detection-0106/FP16/person-detection-0106.xml -d CPU Model: Person Detection FP16 - Device: CPU pts/compress-lz4-1.0.0 -b9 -e9 Compression Level: 9 - Decompression Speed pts/compress-lz4-1.0.0 -b9 -e9 Compression Level: 9 - Compression Speed 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/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=1:1 Clients: 50 - Set To Get Ratio: 1:1 pts/dragonflydb-1.0.0 -c 50 --ratio=5:1 Clients: 50 - Set To Get Ratio: 5:1 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/pyperformance-1.0.2 python_startup Benchmark: python_startup pts/pjsip-1.0.1 --method=INVITE 'sip:2@127.0.0.1' Method: INVITE pts/pjsip-1.0.1 --method=OPTIONS 'sip:1@127.0.0.1' Method: OPTIONS, Stateful 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/person-vehicle-bike-detection-2004/FP16/person-vehicle-bike-detection-2004.xml -d CPU Model: Person Vehicle Bike Detection FP16 - Device: CPU pts/luxcorerender-1.4.0 DLSC/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: DLSC - Acceleration: 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/vehicle-detection-0202/FP16/vehicle-detection-0202.xml -d CPU Model: Vehicle Detection 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/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/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/weld-porosity-detection-0001/FP16/weld-porosity-detection-0001.xml -d CPU Model: Weld Porosity Detection FP16 - Device: CPU pts/rocksdb-1.3.0 --benchmarks="updaterandom" Test: Update Random pts/rocksdb-1.3.0 --benchmarks="readrandomwriterandom" Test: Read Random Write Random pts/rocksdb-1.3.0 --benchmarks="readwhilewriting" Test: Read While Writing pts/graphics-magick-2.1.0 -sharpen 0x2.0 Operation: Sharpen pts/openssl-3.0.1 rsa4096 Algorithm: RSA4096 pts/graphics-magick-2.1.0 -enhance Operation: Enhanced pts/rocksdb-1.3.0 --benchmarks="readrandom" Test: Random Read pts/graphics-magick-2.1.0 -rotate 90 Operation: Rotate pts/graphics-magick-2.1.0 -colorspace HWB Operation: HWB Color Space pts/etcpak-1.1.0 -b --rgba Benchmark: Single-Threaded - Configuration: ETC2 pts/coremark-1.0.1 CoreMark Size 666 - Iterations Per Second pts/blender-3.3.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Classroom - Compute: CPU-Only pts/gpaw-1.1.0 carbon-nanotube Input: Carbon Nanotube pts/cloverleaf-1.1.0 Lagrangian-Eulerian Hydrodynamics pts/simdjson-2.0.1 kostya Throughput Test: Kostya pts/build2-1.1.0 Time To Compile pts/aom-av1-3.4.0 --cpu-used=10 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K pts/natron-1.1.0 Natron_2.3.12_Spaceship/Natron_project/Spaceship_Natron.ntp Input: Spaceship pts/rodinia-1.3.2 OMP_LEUKOCYTE Test: OpenMP Leukocyte pts/svt-hevc-1.2.1 -encMode 1 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: 1 - Input: Bosphorus 4K pts/build-wasmer-1.2.0 Time To Compile pts/simdjson-2.0.1 large_random Throughput Test: LargeRandom pts/srsran-1.2.0 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/minife-1.0.0 -‐nx 264 --ny 256 -‐nz 256 Problem Size: Small pts/luxcorerender-1.4.0 RainbowColorsAndPrism/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: Rainbow Colors and Prism - Acceleration: CPU pts/mlpack-1.0.2 SCIKIT_ICA Benchmark: scikit_ica pts/askap-2.1.0 tConvolveMPI Test: tConvolve MPI - Gridding pts/askap-2.1.0 tConvolveMPI Test: tConvolve MPI - Degridding pts/webp2-1.2.0 -q 75 -effort 7 Encode Settings: Quality 75, Compression Effort 7 pts/compress-zstd-1.5.0 -b19 Compression Level: 19 - Decompression Speed pts/compress-zstd-1.5.0 -b19 Compression Level: 19 - Compression Speed pts/compress-zstd-1.5.0 -b19 --long Compression Level: 19, Long Mode - Decompression Speed pts/compress-zstd-1.5.0 -b19 --long Compression Level: 19, Long Mode - Compression Speed pts/build-linux-kernel-1.14.0 defconfig Build: defconfig pts/compress-7zip-1.10.0 Test: Decompression Rating pts/compress-7zip-1.10.0 Test: Compression Rating pts/kripke-1.1.0 pts/jpegxl-decode-1.4.0 --num_threads=1 --num_reps=100 CPU Threads: 1 pts/webp-1.2.0 -q 100 -lossless -m 6 Encode Settings: Quality 100, Lossless, Highest Compression pts/build-godot-1.0.0 Time To Compile pts/primesieve-1.9.0 1e13 Length: 1e13 pts/srsran-1.2.0 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/avifenc-1.2.0 -s 2 Encoder Speed: 2 pts/pyperformance-1.0.2 chaos Benchmark: chaos pts/gromacs-1.7.0 mpi-build water-cut1.0_GMX50_bare/1536 Implementation: MPI CPU - Input: water_GMX50_bare pts/build-php-1.6.0 Time To Compile pts/redis-1.4.0 -t get -c 1000 Test: GET - Parallel Connections: 1000 pts/amg-1.1.0 pts/appleseed-1.0.1 disney_material_1.appleseed Scene: Disney Material pts/kvazaar-1.1.1 -i Bosphorus_3840x2160.y4m --preset ultrafast Video Input: Bosphorus 4K - Video Preset: Ultra Fast pts/rodinia-1.3.2 OMP_LAVAMD Test: OpenMP LavaMD pts/srsran-1.2.0 lib/src/phy/dft/test/ofdm_test -N 2048 -n 100 -r 500000 Test: OFDM_Test pts/srsran-1.2.0 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/embree-1.2.1 pathtracer -c asian_dragon/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon pts/embree-1.2.1 pathtracer_ispc -c asian_dragon/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon 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/pyperformance-1.0.2 regex_compile Benchmark: regex_compile pts/pjsip-1.0.1 --method=OPTIONS --stateless 'sip:0@127.0.0.1' Method: OPTIONS, Stateless pts/libraw-1.0.0 Post-Processing Benchmark pts/blender-3.3.0 -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/npb-1.4.5 is.D Test / Class: IS.D pts/renaissance-1.3.0 naive-bayes Test: Apache Spark Bayes pts/aircrack-ng-1.3.0 pts/encode-flac-1.8.0 WAV To FLAC pts/x265-1.3.0 Bosphorus_3840x2160.y4m Video Input: Bosphorus 4K pts/synthmark-1.0.1 -tv -p100 -s30 Test: VoiceMark_100 pts/quantlib-1.0.0 pts/xmrig-1.0.0 --bench=1M Variant: Monero - Hash Count: 1M pts/namd-1.2.1 ATPase Simulation - 327,506 Atoms pts/pennant-1.1.0 leblancbig/leblancbig.pnt Test: leblancbig pts/phpbench-1.1.6 PHP Benchmark Suite pts/jpegxl-1.4.0 sample-photo-6000x4000.JPG out.jxl -s 7 --num_reps 45 Input: JPEG - Encode Speed: 7 pts/xmrig-1.0.0 -a rx/wow --bench=1M Variant: Wownero - Hash Count: 1M pts/mlpack-1.0.2 SCIKIT_SVM Benchmark: scikit_svm pts/dacapobench-1.0.1 tradebeans Java Test: Tradebeans pts/blender-3.3.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: BMW27 - Compute: CPU-Only pts/lulesh-1.1.1 pts/pyperformance-1.0.2 pickle_pure_python Benchmark: pickle_pure_python pts/tnn-1.1.0 -dt NAIVE -mp ../benchmark/benchmark-model/mobilenet_v2.tnnproto Target: CPU - Model: MobileNet v2 pts/cython-bench-1.1.0 NQUEENS Test: N-Queens pts/npb-1.4.5 sp.C Test / Class: SP.C pts/pybench-1.1.3 Total For Average Test Times pts/node-express-loadtest-1.0.1 pts/srsran-1.2.0 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/oidn-1.4.0 -r RT.hdr_alb_nrm.3840x2160 Run: RT.hdr_alb_nrm.3840x2160 pts/npb-1.4.5 bt.C Test / Class: BT.C pts/svt-hevc-1.2.1 -encMode 10 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: 10 - Input: Bosphorus 4K pts/oidn-1.4.0 -r RT.ldr_alb_nrm.3840x2160 Run: RT.ldr_alb_nrm.3840x2160 pts/build-apache-1.6.1 Time To Compile pts/askap-2.1.0 tHogbomCleanOMP Test: Hogbom Clean OpenMP pts/liquid-dsp-1.0.0 -n 256 -b 256 -f 57 Threads: 256 - Buffer Length: 256 - Filter Length: 57 pts/kvazaar-1.1.1 -i Bosphorus_3840x2160.y4m --preset veryfast Video Input: Bosphorus 4K - Video Preset: Very Fast pts/liquid-dsp-1.0.0 -n 128 -b 256 -f 57 Threads: 128 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.0.0 -n 64 -b 256 -f 57 Threads: 64 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.0.0 -n 32 -b 256 -f 57 Threads: 32 - Buffer Length: 256 - Filter Length: 57 pts/npb-1.4.5 sp.B Test / Class: SP.B pts/srsran-1.2.0 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/build-mesa-1.0.0 Time To Compile pts/tnn-1.1.0 -dt NAIVE -mp ../benchmark/benchmark-model/squeezenet_v1.1.tnnproto Target: CPU - Model: SqueezeNet v1.1 pts/build-ffmpeg-1.1.0 Time To Compile pts/jpegxl-decode-1.4.0 --num_reps=200 CPU Threads: All pts/basis-1.1.1 -uastc -uastc_level 3 Settings: UASTC Level 3 pts/sysbench-1.1.0 memory run Test: RAM / Memory pts/npb-1.4.5 lu.C Test / Class: LU.C pts/svt-av1-2.6.0 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K pts/aom-av1-3.4.0 --cpu-used=9 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 9 Realtime - 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/astcenc-1.4.0 -exhaustive -repeats 2 Preset: Exhaustive pts/webp-1.2.0 -q 100 -lossless Encode Settings: Quality 100, Lossless pts/embree-1.2.1 pathtracer_ispc -c crown/crown.ecs Binary: Pathtracer ISPC - Model: Crown pts/jpegxl-1.4.0 sample-photo-6000x4000.JPG out.jxl -s 8 --num_reps 12 Input: JPEG - Encode Speed: 8 pts/povray-1.2.1 Trace Time pts/mt-dgemm-1.2.0 Sustained Floating-Point Rate pts/basis-1.1.1 -uastc -uastc_level 2 Settings: UASTC Level 2 pts/embree-1.2.1 pathtracer -c crown/crown.ecs Binary: Pathtracer - Model: Crown pts/astcenc-1.4.0 -thorough -repeats 10 Preset: Thorough pts/encode-mp3-1.7.4 WAV To MP3 pts/draco-1.5.0 -i church.ply Model: Church Facade pts/npb-1.4.5 cg.C Test / Class: CG.C 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/pennant-1.1.0 sedovbig/sedovbig.pnt Test: sedovbig pts/m-queens-1.1.0 Time To Solve pts/avifenc-1.2.0 -s 6 -l Encoder Speed: 6, Lossless pts/draco-1.5.0 -i lion.ply Model: Lion pts/webp-1.2.0 -q 100 -m 6 Encode Settings: Quality 100, Highest Compression pts/rodinia-1.3.2 OMP_CFD Test: OpenMP CFD Solver pts/svt-av1-2.6.0 --preset 10 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 10 - Input: Bosphorus 4K pts/npb-1.4.5 ft.C Test / Class: FT.C pts/basis-1.1.1 -uastc -uastc_level 0 Settings: UASTC Level 0 pts/webp2-1.2.0 Encode Settings: Default system/octave-benchmark-1.0.1 pts/dacapobench-1.0.1 jython Java Test: Jython pts/svt-hevc-1.2.1 -encMode 7 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: 7 - Input: Bosphorus 4K pts/avifenc-1.2.0 -s 10 -l Encoder Speed: 10, Lossless pts/astcenc-1.4.0 -medium -repeats 20 Preset: Medium pts/tnn-1.1.0 -dt NAIVE -mp ../benchmark/benchmark-model/shufflenet_v2.tnnproto Target: CPU - Model: SqueezeNet v2 pts/npb-1.4.5 ep.C Test / Class: EP.C pts/etcpak-1.1.0 -b -M --rgba Benchmark: Multi-Threaded - Configuration: ETC2 pts/avifenc-1.2.0 -s 6 Encoder Speed: 6 pts/npb-1.4.5 mg.C Test / Class: MG.C pts/webp2-1.2.0 -q 100 -effort 5 Encode Settings: Quality 100, Compression Effort 5 pts/webp-1.2.0 -q 100 Encode Settings: Quality 100 pts/webp-1.2.0 Encode Settings: Default pts/build-python-1.0.0 Build Configuration: Default pts/ctx-clock-1.0.0 Context Switch Time pts/blake2-1.2.2