1.0.0 System Test suite extracted from 5800X. pts/openfoam-1.2.0 incompressible/simpleFoam/drivaerFastback/ -m M Input: drivaerFastback, Medium Mesh Size - Execution Time pts/openfoam-1.2.0 incompressible/simpleFoam/drivaerFastback/ -m M Input: drivaerFastback, Medium Mesh Size - Mesh Time pts/blender-3.6.0 -b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Barbershop - Compute: CPU-Only pts/build-linux-kernel-1.15.0 allmodconfig Build: allmodconfig pts/build-llvm-1.5.0 Build System: Unix Makefiles pts/build-llvm-1.5.0 Ninja Build System: Ninja pts/nekrs-1.1.0 kershaw kershaw.par Input: Kershaw pts/openradioss-1.0.0 fsi_drop_container_0000.rad fsi_drop_container_0001.rad Model: INIVOL and Fluid Structure Interaction Drop Container pts/nekrs-1.1.0 turbPipePeriodic turbPipe.par Input: TurboPipe Periodic pts/build-nodejs-1.3.0 Time To Compile pts/brl-cad-1.4.0 VGR Performance Metric pts/openfoam-1.2.0 incompressible/simpleFoam/drivaerFastback/ -m S Input: drivaerFastback, Small Mesh Size - Execution Time pts/openfoam-1.2.0 incompressible/simpleFoam/drivaerFastback/ -m S Input: drivaerFastback, Small Mesh Size - Mesh Time pts/openvkl-1.3.0 vklBenchmark --benchmark_filter=scalar Benchmark: vklBenchmark Scalar pts/openvkl-1.3.0 vklBenchmark --benchmark_filter=ispc Benchmark: vklBenchmark ISPC pts/blender-3.6.0 -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/build-gem5-1.0.0 Time To Compile pts/appleseed-1.0.1 material_tester_ambient_occlusion.appleseed Scene: Material Tester pts/build-godot-4.0.0 Time To Compile pts/blender-3.6.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Classroom - Compute: CPU-Only pts/openradioss-1.0.0 BIRD_WINDSHIELD_v1_0000.rad BIRD_WINDSHIELD_v1_0001.rad Model: Bird Strike on Windshield pts/clickhouse-1.2.0 100M Rows Hits Dataset, Third Run pts/clickhouse-1.2.0 100M Rows Hits Dataset, Second Run pts/clickhouse-1.2.0 100M Rows Hits Dataset, First Run / Cold Cache pts/securemark-1.0.0 Benchmark: SecureMark-TLS pts/tensorflow-2.1.0 --device cpu --batch_size=32 --model=resnet50 Device: CPU - Batch Size: 32 - Model: ResNet-50 pts/svt-hevc-1.2.1 -encMode 1 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: 1 - Input: Bosphorus 4K pts/qmcpack-1.6.0 tests/molecules/Li2_STO_ae Li2.STO.long.in.xml Input: Li2_STO_ae pts/opencv-1.3.0 stitching Test: Stitching pts/ospray-2.12.0 --benchmark_filter=particle_volume/scivis/real_time Benchmark: particle_volume/scivis/real_time pts/xmrig-1.1.0 --bench=1M Variant: Monero - Hash Count: 1M pts/openssl-3.1.0 sha256 Algorithm: SHA256 pts/openssl-3.1.0 -evp chacha20-poly1305 Algorithm: ChaCha20-Poly1305 pts/openssl-3.1.0 -evp aes-256-gcm Algorithm: AES-256-GCM pts/openssl-3.1.0 sha512 Algorithm: SHA512 pts/openssl-3.1.0 -evp aes-128-gcm Algorithm: AES-128-GCM pts/openssl-3.1.0 -evp chacha20 Algorithm: ChaCha20 pts/ospray-studio-1.1.0 --cameras 3 3 --resolution 1920 1080 --spp 16 --renderer pathtracer Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer pts/specfem3d-1.0.0 waterlayered_halfspace Model: Water-layered Halfspace pts/specfem3d-1.0.0 layered_halfspace Model: Layered Halfspace pts/gromacs-1.8.0 mpi-build water-cut1.0_GMX50_bare/1536 Implementation: MPI CPU - Input: water_GMX50_bare pts/ffmpeg-6.0.0 --encoder=libx265 vod Encoder: libx265 - Scenario: Video On Demand pts/ffmpeg-6.0.0 --encoder=libx265 platform Encoder: libx265 - Scenario: Platform pts/spark-1.0.1 -r 1000000 -p 100 Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time pts/spark-1.0.1 -r 1000000 -p 100 Row Count: 1000000 - Partitions: 100 - Inner Join Test Time pts/spark-1.0.1 -r 1000000 -p 100 Row Count: 1000000 - Partitions: 100 - Repartition Test Time pts/spark-1.0.1 -r 1000000 -p 100 Row Count: 1000000 - Partitions: 100 - Group By Test Time pts/spark-1.0.1 -r 1000000 -p 100 Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.1 -r 1000000 -p 100 Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark pts/spark-1.0.1 -r 1000000 -p 100 Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time pts/openradioss-1.0.0 RUBBER_SEAL_IMPDISP_GEOM_0000.rad RUBBER_SEAL_IMPDISP_GEOM_0001.rad Model: Rubber O-Ring Seal Installation pts/geekbench-6.1.0 --single-core Test: CPU Single Core pts/ffmpeg-6.0.0 --encoder=libx265 upload Encoder: libx265 - Scenario: Upload pts/ospray-2.12.0 --benchmark_filter=particle_volume/pathtracer/real_time Benchmark: particle_volume/pathtracer/real_time pts/hpcg-1.3.0 --nx=104 --ny=104 --nz=104 --rt=60 X Y Z: 104 104 104 - RT: 60 pts/ospray-studio-1.1.0 --cameras 1 1 --resolution 1920 1080 --spp 16 --renderer pathtracer Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer pts/openradioss-1.0.0 Bumper_Beam_AP_meshed_0000.rad Bumper_Beam_AP_meshed_0001.rad Model: Bumper Beam pts/build2-1.2.0 Time To Compile pts/qmcpack-1.6.0 tests/molecules/O_ae_pyscf_UHF vmc_long_noj.in.xml Input: FeCO6_b3lyp_gms pts/ospray-2.12.0 --benchmark_filter=particle_volume/ao/real_time Benchmark: particle_volume/ao/real_time pts/pgbench-1.13.0 -s 100 -c 800 Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency pts/pgbench-1.13.0 -s 100 -c 800 Scaling Factor: 100 - Clients: 800 - Mode: Read Write pts/pgbench-1.13.0 -s 100 -c 800 -S Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency pts/pgbench-1.13.0 -s 100 -c 800 -S Scaling Factor: 100 - Clients: 800 - Mode: Read Only pts/pgbench-1.13.0 -s 100 -c 500 -S Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency pts/pgbench-1.13.0 -s 100 -c 500 -S Scaling Factor: 100 - Clients: 500 - Mode: Read Only pts/ospray-studio-1.1.0 --cameras 3 3 --resolution 1920 1080 --spp 1 --renderer pathtracer Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer pts/pgbench-1.13.0 -s 100 -c 500 Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency pts/pgbench-1.13.0 -s 100 -c 500 Scaling Factor: 100 - Clients: 500 - Mode: Read Write pts/qmcpack-1.6.0 tests/molecules/FeCO6_b3lyp_gms vmc_long_noj.in.xml Input: FeCO6_b3lyp_gms pts/blender-3.6.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: BMW27 - Compute: CPU-Only pts/vvenc-1.8.0 -i Bosphorus_3840x2160.y4m --preset fast Video Input: Bosphorus 4K - Video Preset: Fast pts/ospray-studio-1.1.0 --cameras 1 1 --resolution 1920 1080 --spp 1 --renderer pathtracer Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer pts/cassandra-1.1.1 WRITE Test: Writes pts/numpy-1.2.1 pts/xmrig-1.1.0 -a rx/wow --bench=1M Variant: Wownero - Hash Count: 1M pts/ospray-studio-1.1.0 --cameras 3 3 --resolution 1920 1080 --spp 32 --renderer pathtracer Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer pts/openradioss-1.0.0 Cell_Phone_Drop_0000.rad Cell_Phone_Drop_0001.rad Model: Cell Phone Drop Test pts/mysqlslap-1.4.0 --concurrency=512 Clients: 512 pts/mysqlslap-1.4.0 --concurrency=256 Clients: 256 pts/geekbench-6.1.0 --multi-core Test: CPU Multi Core pts/cockroach-1.0.2 kv --ramp 10s --read-percent 50 --concurrency 128 Workload: KV, 50% Reads - Concurrency: 128 pts/cockroach-1.0.2 kv --ramp 10s --read-percent 95 --concurrency 128 Workload: KV, 95% Reads - Concurrency: 128 pts/cockroach-1.0.2 kv --ramp 10s --read-percent 60 --concurrency 128 Workload: KV, 60% Reads - Concurrency: 128 pts/cockroach-1.0.2 kv --ramp 10s --read-percent 10 --concurrency 128 Workload: KV, 10% Reads - Concurrency: 128 pts/ospray-studio-1.1.0 --cameras 1 1 --resolution 1920 1080 --spp 32 --renderer pathtracer Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer pts/oidn-2.0.0 -r RTLightmap.hdr.4096x4096 -d cpu Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only pts/uvg266-1.0.0 -i Bosphorus_3840x2160.y4m --preset slow Video Input: Bosphorus 4K - Video Preset: Slow pts/opencv-1.3.0 imgproc Test: Image Processing pts/cockroach-1.0.2 movr --concurrency 128 Workload: MoVR - Concurrency: 128 pts/tensorflow-2.1.0 --device cpu --batch_size=32 --model=googlenet Device: CPU - Batch Size: 32 - Model: GoogLeNet pts/nginx-3.0.1 -c 1000 Connections: 1000 pts/nginx-3.0.1 -c 500 Connections: 500 pts/nginx-3.0.1 -c 200 Connections: 200 pts/nginx-3.0.1 -c 100 Connections: 100 pts/uvg266-1.0.0 -i Bosphorus_3840x2160.y4m --preset medium Video Input: Bosphorus 4K - Video Preset: Medium pts/build-linux-kernel-1.15.0 defconfig Build: defconfig pts/libxsmm-1.0.1 32 32 32 M N K: 32 pts/namd-1.2.1 ATPase Simulation - 327,506 Atoms pts/libxsmm-1.0.1 64 64 64 M N K: 64 pts/mysqlslap-1.4.0 --concurrency=128 Clients: 128 pts/simdjson-2.0.1 distinct_user_id Throughput Test: DistinctUserID pts/simdjson-2.0.1 top_tweet Throughput Test: TopTweet pts/simdjson-2.0.1 partial_tweets Throughput Test: PartialTweets pts/compress-zstd-1.6.0 -b19 --long Compression Level: 19, Long Mode - Decompression Speed pts/compress-zstd-1.6.0 -b19 --long Compression Level: 19, Long Mode - Compression Speed pts/askap-2.1.0 tConvolveMT Test: tConvolve MT - Degridding pts/askap-2.1.0 tConvolveMT Test: tConvolve MT - Gridding pts/specfem3d-1.0.0 homogeneous_halfspace Model: Homogeneous Halfspace pts/compress-zstd-1.6.0 -b19 Compression Level: 19 - Decompression Speed pts/compress-zstd-1.6.0 -b19 Compression Level: 19 - Compression Speed pts/avifenc-1.3.0 -s 2 Encoder Speed: 2 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/astcenc-1.4.0 -exhaustive -repeats 2 Preset: Exhaustive pts/openvino-1.2.0 -m models/intel/person-detection-0106/FP16/person-detection-0106.xml -d CPU Model: Person Detection FP16 - Device: CPU pts/memcached-1.2.0 --ratio=1:5 Set To Get Ratio: 1:5 pts/memcached-1.2.0 --ratio=1:100 Set To Get Ratio: 1:100 pts/memcached-1.2.0 --ratio=1:10 Set To Get Ratio: 1:10 pts/luxcorerender-1.4.0 OrangeJuice/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: Orange Juice - Acceleration: CPU pts/specfem3d-1.0.0 Mount_StHelens Model: Mount St. Helens pts/openvino-1.2.0 -m models/intel/face-detection-0206/FP16-INT8/face-detection-0206.xml -d CPU Model: Face Detection FP16-INT8 - Device: CPU 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/vvenc-1.8.0 -i Bosphorus_3840x2160.y4m --preset faster Video Input: Bosphorus 4K - Video Preset: Faster pts/openvino-1.2.0 -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/luxcorerender-1.4.0 DLSC/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: DLSC - Acceleration: CPU pts/openvino-1.2.0 -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-1.2.0 -m models/intel/vehicle-detection-0202/FP16-INT8/vehicle-detection-0202.xml -d CPU Model: Vehicle Detection FP16-INT8 - Device: CPU pts/openvino-1.2.0 -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-1.2.0 -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/john-the-ripper-1.8.0 --format=md5crypt Test: MD5 pts/rocksdb-1.5.0 --benchmarks="readrandomwriterandom" Test: Read Random Write Random pts/rocksdb-1.5.0 --benchmarks="updaterandom" Test: Update Random pts/rocksdb-1.5.0 --benchmarks="readwhilewriting" Test: Read While Writing pts/john-the-ripper-1.8.0 --format=HMAC-SHA512 Test: HMAC-SHA512 pts/rocksdb-1.5.0 --benchmarks="readrandom" Test: Random Read pts/openssl-3.1.0 rsa4096 Algorithm: RSA4096 pts/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset medium Video Input: Bosphorus 4K - Video Preset: Medium pts/z3-1.0.0 2.smt2 SMT File: 2.smt2 pts/node-web-tooling-1.0.1 pts/specfem3d-1.0.0 tomographic_model Model: Tomographic Model pts/simdjson-2.0.1 kostya Throughput Test: Kostya pts/build-php-1.6.0 Time To Compile pts/couchdb-1.2.0 100 1000 30 Bulk Size: 100 - Inserts: 1000 - Rounds: 30 pts/opencv-1.3.0 core Test: Core pts/build-wasmer-1.2.0 Time To Compile pts/minife-1.0.0 -‐nx 264 --ny 256 -‐nz 256 Problem Size: Small pts/ospray-2.12.0 --benchmark_filter=gravity_spheres_volume/dim_512/scivis/real_time Benchmark: gravity_spheres_volume/dim_512/scivis/real_time pts/ffmpeg-6.0.0 --encoder=libx265 live Encoder: libx265 - Scenario: Live pts/ospray-2.12.0 --benchmark_filter=gravity_spheres_volume/dim_512/ao/real_time Benchmark: gravity_spheres_volume/dim_512/ao/real_time pts/oidn-2.0.0 -r RT.hdr_alb_nrm.3840x2160 -d cpu Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only pts/oidn-2.0.0 -r RT.ldr_alb_nrm.3840x2160 -d cpu Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only pts/ospray-2.12.0 --benchmark_filter=gravity_spheres_volume/dim_512/pathtracer/real_time Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time pts/simdjson-2.0.1 large_random Throughput Test: LargeRandom pts/build-ffmpeg-6.0.0 Time To Compile pts/minibude-1.0.0 --deck ../data/bm1 --iterations 500 Implementation: OpenMP - Input Deck: BM1 pts/svt-av1-2.9.0 --preset 4 -n 160 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 4 - Input: Bosphorus 4K pts/vvenc-1.8.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset fast Video Input: Bosphorus 1080p - Video Preset: Fast pts/mysqlslap-1.4.0 --concurrency=64 Clients: 64 pts/x265-1.3.0 Bosphorus_3840x2160.y4m Video Input: Bosphorus 4K pts/tensorflow-2.1.0 --device cpu --batch_size=32 --model=alexnet Device: CPU - Batch Size: 32 - Model: AlexNet pts/astcenc-1.4.0 -thorough -repeats 10 Preset: Thorough pts/encodec-1.0.1 -b 24 Target Bandwidth: 24 kbps pts/webp-1.2.0 -q 100 -lossless -m 6 Encode Settings: Quality 100, Lossless, Highest Compression pts/incompact3d-2.0.2 input_129_nodes.i3d Input: input.i3d 129 Cells Per Direction pts/cpuminer-opt-1.6.0 -a myr-gr Algorithm: Myriad-Groestl pts/cpuminer-opt-1.6.0 -a lbry Algorithm: LBC, LBRY Credits pts/opencv-1.3.0 dnn Test: DNN - Deep Neural Network pts/john-the-ripper-1.8.0 --format=wpapsk Test: WPA PSK pts/john-the-ripper-1.8.0 --format=bcrypt Test: bcrypt pts/john-the-ripper-1.8.0 --format=bcrypt Test: Blowfish pts/liquid-dsp-1.6.0 -n 4 -b 256 -f 32 Threads: 4 - Buffer Length: 256 - Filter Length: 32 pts/liquid-dsp-1.6.0 -n 4 -b 256 -f 512 Threads: 4 - Buffer Length: 256 - Filter Length: 512 pts/liquid-dsp-1.6.0 -n 16 -b 256 -f 512 Threads: 16 - Buffer Length: 256 - Filter Length: 512 pts/liquid-dsp-1.6.0 -n 4 -b 256 -f 57 Threads: 4 - Buffer Length: 256 - Filter Length: 57 pts/cpuminer-opt-1.6.0 -a allium Algorithm: Garlicoin pts/liquid-dsp-1.6.0 -n 8 -b 256 -f 512 Threads: 8 - Buffer Length: 256 - Filter Length: 512 pts/liquid-dsp-1.6.0 -n 16 -b 256 -f 57 Threads: 16 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.6.0 -n 16 -b 256 -f 32 Threads: 16 - Buffer Length: 256 - Filter Length: 32 pts/liquid-dsp-1.6.0 -n 1 -b 256 -f 512 Threads: 1 - Buffer Length: 256 - Filter Length: 512 pts/liquid-dsp-1.6.0 -n 8 -b 256 -f 57 Threads: 8 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.6.0 -n 8 -b 256 -f 32 Threads: 8 - Buffer Length: 256 - Filter Length: 32 pts/liquid-dsp-1.6.0 -n 1 -b 256 -f 57 Threads: 1 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.6.0 -n 1 -b 256 -f 32 Threads: 1 - Buffer Length: 256 - Filter Length: 32 pts/cpuminer-opt-1.6.0 -a skein Algorithm: Skeincoin pts/cpuminer-opt-1.6.0 -a sha256q Algorithm: Quad SHA-256, Pyrite pts/cpuminer-opt-1.6.0 -a sha256t Algorithm: Triple SHA-256, Onecoin pts/cpuminer-opt-1.6.0 -a x25x Algorithm: x25x pts/cpuminer-opt-1.6.0 -a minotaur Algorithm: Ringcoin pts/cpuminer-opt-1.6.0 -a blake2s Algorithm: Blake-2 S pts/cpuminer-opt-1.6.0 -a deep Algorithm: Deepcoin pts/cpuminer-opt-1.6.0 -a scrypt Algorithm: scrypt pts/cpuminer-opt-1.6.0 -a m7m Algorithm: Magi pts/uvg266-1.0.0 -i Bosphorus_3840x2160.y4m --preset veryfast Video Input: Bosphorus 4K - Video Preset: Very Fast pts/uvg266-1.0.0 -i Bosphorus_3840x2160.y4m --preset superfast Video Input: Bosphorus 4K - Video Preset: Super Fast pts/encodec-1.0.1 -b 6 Target Bandwidth: 6 kbps pts/encodec-1.0.1 -b 3 Target Bandwidth: 3 kbps pts/opencv-1.3.0 video Test: Video pts/askap-2.1.0 tConvolveMPI Test: tConvolve MPI - Gridding pts/askap-2.1.0 tConvolveMPI Test: tConvolve MPI - Degridding pts/redis-1.4.0 -t set -c 500 Test: SET - Parallel Connections: 500 pts/redis-1.4.0 -t set -c 50 Test: SET - Parallel Connections: 50 pts/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset veryfast Video Input: Bosphorus 4K - Video Preset: Very Fast pts/uvg266-1.0.0 -i Bosphorus_3840x2160.y4m --preset ultrafast Video Input: Bosphorus 4K - Video Preset: Ultra Fast pts/z3-1.0.0 1.smt2 SMT File: 1.smt2 pts/compress-7zip-1.10.0 Test: Decompression Rating pts/compress-7zip-1.10.0 Test: Compression Rating pts/redis-1.4.0 -t get -c 500 Test: GET - Parallel Connections: 500 pts/astcenc-1.4.0 -fast -repeats 120 Preset: Fast pts/srsran-2.1.0 tests/benchmarks/phy/upper/channel_processors/pusch_processor_benchmark -m throughput_total -R 100 -P pusch_scs15_50MHz_256qam_max Test: PUSCH Processor Benchmark, Throughput Total pts/redis-1.4.0 -t get -c 50 Test: GET - Parallel Connections: 50 pts/qmcpack-1.6.0 build/examples/molecules/H2O/example_H2O-1-1 simple-H2O.xml Input: simple-H2O pts/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset superfast Video Input: Bosphorus 4K - Video Preset: Super Fast pts/vvenc-1.8.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset faster Video Input: Bosphorus 1080p - Video Preset: Faster pts/uvg266-1.0.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset slow Video Input: Bosphorus 1080p - Video Preset: Slow pts/luxcorerender-1.4.0 RainbowColorsAndPrism/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: Rainbow Colors and Prism - Acceleration: CPU pts/amg-1.1.0 pts/pybench-1.1.3 Total For Average Test Times pts/uvg266-1.0.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset medium Video Input: Bosphorus 1080p - Video Preset: Medium pts/srsran-2.1.0 tests/benchmarks/phy/upper/downlink_processor_benchmark -R 50000 -P pdsch_scs15_50MHz_256qam_max Test: Downlink Processor Benchmark pts/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset ultrafast Video Input: Bosphorus 4K - Video Preset: Ultra Fast pts/askap-2.1.0 tHogbomCleanOMP Test: Hogbom Clean OpenMP pts/svt-hevc-1.2.1 -encMode 7 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: 7 - Input: Bosphorus 4K pts/webp-1.2.0 -q 100 -lossless Encode Settings: Quality 100, Lossless pts/svt-vp9-1.3.1 -tune 0 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: Visual Quality Optimized - 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/node-express-loadtest-1.0.1 pts/astcenc-1.4.0 -medium -repeats 20 Preset: Medium pts/srsran-2.1.0 tests/benchmarks/phy/upper/channel_processors/pusch_processor_benchmark -m throughput_thread -R 100 -P pusch_scs15_50MHz_256qam_max -T 1 Test: PUSCH Processor Benchmark, Throughput Thread pts/svt-vp9-1.3.1 -tune 1 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K pts/avifenc-1.3.0 -s 6 -l Encoder Speed: 6, Lossless pts/lulesh-1.1.1 pts/x265-1.3.0 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Video Input: Bosphorus 1080p pts/askap-2.1.0 tConvolveOMP Test: tConvolve OpenMP - Degridding pts/askap-2.1.0 tConvolveOMP Test: tConvolve OpenMP - Gridding pts/svt-hevc-1.2.1 -encMode 10 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: 10 - Input: Bosphorus 4K pts/avifenc-1.3.0 -s 6 Encoder Speed: 6 pts/uvg266-1.0.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset veryfast Video Input: Bosphorus 1080p - Video Preset: Very Fast pts/uvg266-1.0.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset superfast Video Input: Bosphorus 1080p - Video Preset: Super Fast pts/webp-1.2.0 -q 100 -m 6 Encode Settings: Quality 100, Highest Compression system/octave-benchmark-1.0.1 pts/uvg266-1.0.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset ultrafast Video Input: Bosphorus 1080p - Video Preset: Ultra Fast pts/heffte-1.0.0 c2c stock double 128 128 128 Test: c2c - Backend: Stock - Precision: double - X Y Z: 128 pts/heffte-1.0.0 c2c fftw double 128 128 128 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128 pts/webp-1.2.0 -q 100 Encode Settings: Quality 100 pts/heffte-1.0.0 r2c stock double 128 128 128 Test: r2c - Backend: Stock - Precision: double - X Y Z: 128 pts/heffte-1.0.0 r2c fftw double 128 128 128 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128 pts/heffte-1.0.0 c2c stock float 128 128 128 Test: c2c - Backend: Stock - Precision: float - X Y Z: 128 pts/deepsparse-1.5.0 zoo:nlp/document_classification/obert-base/pytorch/huggingface/imdb/base-none --scenario async Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream pts/heffte-1.0.0 c2c fftw float 128 128 128 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128 pts/deepsparse-1.5.0 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario async Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.0 zoo:nlp/sentiment_analysis/bert-base/pytorch/huggingface/sst2/12layer_pruned90-none --scenario async Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.0 zoo:nlp/token_classification/bert-base/pytorch/huggingface/conll2003/base-none --scenario async Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.0 zoo:cv/segmentation/yolact-darknet53/pytorch/dbolya/coco/pruned90-none --scenario async Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.0 zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/base-none --scenario async Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.0 zoo:nlp/text_classification/distilbert-none/pytorch/huggingface/mnli/base-none --scenario async Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.0 zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/12layer_pruned90-none --scenario async Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.0 zoo:nlp/text_classification/bert-base/pytorch/huggingface/sst2/base-none --scenario async Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream pts/webp-1.2.0 Encode Settings: Default pts/heffte-1.0.0 r2c stock float 128 128 128 Test: r2c - Backend: Stock - Precision: float - X Y Z: 128 pts/heffte-1.0.0 r2c fftw float 128 128 128 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128 pts/apache-3.0.0 -c 100 Concurrent Requests: 100 pts/apache-3.0.0 -c 1000 Concurrent Requests: 1000 pts/apache-3.0.0 -c 500 Concurrent Requests: 500 pts/apache-3.0.0 -c 200 Concurrent Requests: 200