Core i9 13900K Linux Distros

Intel Core i9-13900K testing with a ASUS PRIME Z790-P WIFI (0602 BIOS) and AMD Radeon RX 6800 XT 16GB on Clear Linux OS 37600 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 2211066-NE-DISTROS7610
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AV1 2 Tests
C++ Boost Tests 4 Tests
Timed Code Compilation 4 Tests
C/C++ Compiler Tests 8 Tests
CPU Massive 23 Tests
Creator Workloads 19 Tests
Cryptocurrency Benchmarks, CPU Mining Tests 3 Tests
Cryptography 4 Tests
Database Test Suite 4 Tests
Desktop Graphics 2 Tests
Encoding 6 Tests
Finance 2 Tests
Fortran Tests 4 Tests
Game Development 3 Tests
HPC - High Performance Computing 17 Tests
Imaging 4 Tests
Java 3 Tests
Common Kernel Benchmarks 4 Tests
Machine Learning 6 Tests
Molecular Dynamics 4 Tests
MPI Benchmarks 3 Tests
Multi-Core 25 Tests
Node.js + NPM Tests 3 Tests
NVIDIA GPU Compute 6 Tests
Intel oneAPI 5 Tests
OpenMPI Tests 8 Tests
Programmer / Developer System Benchmarks 8 Tests
Python 3 Tests
Renderers 5 Tests
Scientific Computing 4 Tests
Software Defined Radio 2 Tests
Server 9 Tests
Server CPU Tests 19 Tests
Single-Threaded 6 Tests
Video Encoding 5 Tests
Common Workstation Benchmarks 2 Tests

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Ubuntu 22.10
November 02 2022
  1 Day, 1 Hour, 49 Minutes
Clear Linux
November 05 2022
  14 Hours, 3 Minutes
Invert Hiding All Results Option
  19 Hours, 56 Minutes
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Core i9 13900K Linux Distros Suite 1.0.0 System Test suite extracted from Core i9 13900K Linux Distros. pts/stress-ng-1.6.0 --msg -1 Test: System V Message Passing pts/phpbench-1.1.6 PHP Benchmark Suite pts/pyperformance-1.0.2 go Benchmark: go pts/pyperformance-1.0.2 raytrace Benchmark: raytrace pts/pyperformance-1.0.2 nbody Benchmark: nbody pts/pyperformance-1.0.2 python_startup Benchmark: python_startup pts/pyperformance-1.0.2 pickle_pure_python Benchmark: pickle_pure_python pts/pyperformance-1.0.2 float Benchmark: float pts/pyperformance-1.0.2 crypto_pyaes Benchmark: crypto_pyaes pts/pyperformance-1.0.2 chaos Benchmark: chaos pts/libraw-1.0.0 Post-Processing Benchmark pts/onnx-1.5.0 super_resolution/super_resolution.onnx -e cpu Model: super-resolution-10 - Device: CPU - Executor: Standard pts/indigobench-1.1.0 --cpuonly --scenes bedroom Acceleration: CPU - Scene: Bedroom pts/stress-ng-1.6.0 --malloc -1 Test: Malloc pts/pyperformance-1.0.2 2to3 Benchmark: 2to3 pts/pyperformance-1.0.2 regex_compile Benchmark: regex_compile pts/pyperformance-1.0.2 django_template Benchmark: django_template pts/node-express-loadtest-1.0.1 pts/stress-ng-1.6.0 --memcpy -1 Test: Memory Copying pts/stress-ng-1.6.0 --crypt -1 Test: Crypto pts/onednn-2.7.0 --ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU pts/jpegxl-1.5.0 --lossless_jpeg=0 sample-photo-6000x4000.JPG out.jxl -q 90 --num_reps 40 Input: JPEG - Quality: 90 pts/jpegxl-1.5.0 --lossless_jpeg=0 sample-photo-6000x4000.JPG out.jxl -q 80 --num_reps 50 Input: JPEG - Quality: 80 pts/jpegxl-1.5.0 sample-4.png out.jxl -q 90 --num_reps 40 Input: PNG - Quality: 90 pts/jpegxl-1.5.0 sample-4.png out.jxl -q 80 --num_reps 50 Input: PNG - Quality: 80 pts/renaissance-1.3.0 dotty Test: Scala Dotty pts/stress-ng-1.6.0 --switch -1 Test: Context Switching pts/pyperformance-1.0.2 pathlib Benchmark: pathlib pts/renaissance-1.3.0 page-rank Test: Apache Spark PageRank pts/onnx-1.5.0 yolov4/yolov4.onnx -e cpu Model: yolov4 - Device: CPU - Executor: Standard pts/pybench-1.1.3 Total For Average Test Times pts/hpcg-1.2.1 pts/liquid-dsp-1.0.0 -n 8 -b 256 -f 57 Threads: 8 - Buffer Length: 256 - Filter Length: 57 pts/renaissance-1.3.0 reactors Test: Savina Reactors.IO pts/stress-ng-1.6.0 --memfd -1 Test: MEMFD pts/onnx-1.5.0 GPT2/model.onnx -e cpu Model: GPT-2 - Device: CPU - Executor: Standard pts/ctx-clock-1.0.0 Context Switch Time pts/renaissance-1.3.0 finagle-http Test: Finagle HTTP Requests pts/onednn-2.7.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU pts/build-wasmer-1.2.0 Time To Compile pts/build-linux-kernel-1.14.0 allmodconfig Build: allmodconfig pts/stress-ng-1.6.0 --qsort -1 Test: Glibc Qsort Data Sorting system/compress-zstd-1.5.0 -b19 --long Compression Level: 19, Long Mode - Compression Speed pts/cpuminer-opt-1.6.0 -a m7m Algorithm: Magi pts/memtier-benchmark-1.4.1 -P redis -c 50 --ratio=1:10 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 pts/sqlite-speedtest-1.0.1 Timed Time - Size 1,000 pts/build-python-1.0.0 Build Configuration: Default pts/dacapobench-1.0.1 jython Java Test: Jython pts/renaissance-1.3.0 future-genetic Test: Genetic Algorithm Using Jenetics + Futures pts/jpegxl-1.5.0 sample-4.png out.jxl -q 100 --num_reps 10 Input: PNG - Quality: 100 pts/nwchem-1.1.1 Input: C240 Buckyball pts/webp-1.2.0 Encode Settings: Default pts/unvanquished-1.7.0 +set r_customWidth 3840 +set r_customHeight 2160 +preset presets/graphics/ultra.cfg Resolution: 3840 x 2160 - Effects Quality: Ultra pts/webp-1.2.0 -q 100 -lossless Encode Settings: Quality 100, Lossless pts/npb-1.4.5 ep.C Test / Class: EP.C pts/stress-ng-1.6.0 --fork -1 Test: Forking pts/cpuminer-opt-1.6.0 -a minotaur Algorithm: Ringcoin system/compress-zstd-1.5.0 -b19 Compression Level: 19 - Decompression Speed pts/stress-ng-1.6.0 --mmap -1 Test: MMAP pts/renaissance-1.3.0 als Test: Apache Spark ALS pts/renaissance-1.3.0 dec-tree Test: Random Forest pts/unvanquished-1.7.0 +set r_customWidth 3840 +set r_customHeight 2160 +preset presets/graphics/high.cfg Resolution: 3840 x 2160 - Effects Quality: High pts/stress-ng-1.6.0 --mutex -1 Test: Mutex system/compress-zstd-1.5.0 -b19 --long Compression Level: 19, Long Mode - Decompression Speed pts/unvanquished-1.7.0 +set r_customWidth 1920 +set r_customHeight 1080 +preset presets/graphics/high.cfg Resolution: 1920 x 1080 - Effects Quality: High pts/cpuminer-opt-1.6.0 -a allium Algorithm: Garlicoin pts/webp-1.2.0 -q 100 -lossless -m 6 Encode Settings: Quality 100, Lossless, Highest Compression pts/quantlib-1.0.0 pts/clickhouse-1.1.0 100M Rows Web Analytics Dataset, Third Run pts/unvanquished-1.7.0 +set r_customWidth 1920 +set r_customHeight 1080 +preset presets/graphics/ultra.cfg Resolution: 1920 x 1080 - Effects Quality: Ultra system/compress-zstd-1.5.0 -b19 Compression Level: 19 - Compression Speed pts/webp-1.2.0 -q 100 Encode Settings: Quality 100 pts/ffmpeg-3.0.0 --encoder=libx265 live Encoder: libx265 - Scenario: Live pts/compress-7zip-1.10.0 Test: Decompression Rating pts/rodinia-1.3.2 OMP_STREAMCLUSTER Test: OpenMP Streamcluster pts/ffmpeg-3.0.0 --encoder=libx265 platform Encoder: libx265 - Scenario: Platform pts/ffmpeg-3.0.0 --encoder=libx265 vod Encoder: libx265 - Scenario: Video On Demand pts/renaissance-1.3.0 akka-uct Test: Akka Unbalanced Cobwebbed Tree pts/appleseed-1.0.1 material_tester_ambient_occlusion.appleseed Scene: Material Tester pts/svt-hevc-1.2.1 -encMode 1 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: 1 - Input: Bosphorus 4K pts/clickhouse-1.1.0 100M Rows Web Analytics Dataset, First Run / Cold Cache pts/renaissance-1.3.0 naive-bayes Test: Apache Spark Bayes pts/renaissance-1.3.0 movie-lens Test: ALS Movie Lens pts/npb-1.4.5 ep.D Test / Class: EP.D pts/ffmpeg-3.0.0 --encoder=libx265 upload Encoder: libx265 - Scenario: Upload pts/clickhouse-1.1.0 100M Rows Web Analytics Dataset, Second Run pts/npb-1.4.5 sp.B Test / Class: SP.B pts/openssl-3.0.1 sha256 Algorithm: SHA256 pts/onednn-2.7.0 --ip --batch=inputs/ip/shapes_1d --cfg=f32 --engine=cpu Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU pts/onednn-2.7.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU pts/rodinia-1.3.2 OMP_LAVAMD Test: OpenMP LavaMD system/rawtherapee-1.0.1 Total Benchmark Time pts/build-python-1.0.0 --enable-optimizations --with-lto Build Configuration: Released Build, PGO + LTO Optimized pts/onnx-1.5.0 bertsquad-12/bertsquad-12.onnx -e cpu Model: bertsquad-12 - Device: CPU - Executor: Standard pts/oidn-1.4.0 -r RT.ldr_alb_nrm.3840x2160 Run: RT.ldr_alb_nrm.3840x2160 pts/pyperformance-1.0.2 json_loads Benchmark: json_loads pts/webp-1.2.0 -q 100 -m 6 Encode Settings: Quality 100, Highest Compression pts/stress-ng-1.6.0 --numa -1 Test: NUMA pts/svt-av1-2.6.0 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K pts/minibude-1.0.0 --deck ../data/bm2 --iterations 10 Implementation: OpenMP - Input Deck: BM2 pts/rodinia-1.3.2 OMP_LEUKOCYTE Test: OpenMP Leukocyte pts/npb-1.4.5 is.D Test / Class: IS.D pts/stress-ng-1.6.0 --sem -1 Test: Semaphores pts/build-linux-kernel-1.14.0 defconfig Build: defconfig pts/memtier-benchmark-1.4.1 -P redis -c 50 --ratio=10:1 Protocol: Redis - Clients: 50 - Set To Get Ratio: 10:1 pts/npb-1.4.5 bt.C Test / Class: BT.C pts/jpegxl-1.5.0 --lossless_jpeg=0 sample-photo-6000x4000.JPG out.jxl -q 100 --num_reps 10 Input: JPEG - Quality: 100 pts/blender-3.3.1 -b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Barbershop - Compute: CPU-Only pts/cpuminer-opt-1.6.0 -a lbry Algorithm: LBC, LBRY Credits pts/npb-1.4.5 lu.C Test / Class: LU.C pts/rodinia-1.3.2 OMP_HOTSPOT3D Test: OpenMP HotSpot3D pts/cpuminer-opt-1.6.0 -a skein Algorithm: Skeincoin pts/ffmpeg-3.0.0 --encoder=libx264 platform Encoder: libx264 - Scenario: Platform pts/svt-vp9-1.3.1 -tune 1 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K pts/node-web-tooling-1.0.1 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/ffmpeg-3.0.0 --encoder=libx264 vod Encoder: libx264 - Scenario: Video On Demand pts/namd-1.2.1 ATPase Simulation - 327,506 Atoms pts/cpuminer-opt-1.6.0 -a deep Algorithm: Deepcoin pts/ffmpeg-3.0.0 --encoder=libx264 upload Encoder: libx264 - Scenario: Upload pts/onednn-2.7.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU pts/indigobench-1.1.0 --cpuonly --scenes supercar Acceleration: CPU - Scene: Supercar pts/ffmpeg-3.0.0 --encoder=libx264 live Encoder: libx264 - Scenario: Live pts/tesseract-1.1.0 -w3840 -h2160 Resolution: 3840 x 2160 pts/svt-vp9-1.3.1 -tune 0 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: Visual Quality Optimized - Input: Bosphorus 4K pts/onednn-2.7.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU pts/svt-av1-2.6.0 --preset 10 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 10 - Input: Bosphorus 4K pts/stress-ng-1.6.0 --str -1 Test: Glibc C String Functions pts/warsow-1.6.0 +vid_width 1920 +vid_height 1080 Resolution: 1920 x 1080 pts/appleseed-1.0.1 emily.appleseed Scene: Emily pts/cpuminer-opt-1.6.0 -a scrypt Algorithm: scrypt pts/stress-ng-1.6.0 --vecmath -1 Test: Vector Math pts/openssl-3.0.1 rsa4096 Algorithm: RSA4096 pts/svt-av1-2.6.0 --preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 8 - Input: Bosphorus 4K pts/appleseed-1.0.1 disney_material_1.appleseed Scene: Disney Material pts/stress-ng-1.6.0 --sendfile -1 Test: SENDFILE pts/npb-1.4.5 sp.C Test / Class: SP.C pts/openradioss-1.0.0 Bumper_Beam_AP_meshed_0000.rad Bumper_Beam_AP_meshed_0001.rad Model: Bumper Beam pts/cpuminer-opt-1.6.0 -a x25x Algorithm: x25x pts/rodinia-1.3.2 OMP_CFD Test: OpenMP CFD Solver pts/gromacs-1.7.0 mpi-build water-cut1.0_GMX50_bare/1536 Implementation: MPI CPU - Input: water_GMX50_bare pts/blender-3.3.1 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Classroom - Compute: CPU-Only pts/cpuminer-opt-1.6.0 -a sha256q Algorithm: Quad SHA-256, Pyrite pts/svt-hevc-1.2.1 -encMode 7 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: 7 - Input: Bosphorus 4K pts/openradioss-1.0.0 BIRD_WINDSHIELD_v1_0000.rad BIRD_WINDSHIELD_v1_0001.rad Model: Bird Strike on Windshield pts/openvkl-1.1.0 vklBenchmark --benchmark_filter=ispc Benchmark: vklBenchmark ISPC pts/openradioss-1.0.0 RUBBER_SEAL_IMPDISP_GEOM_0000.rad RUBBER_SEAL_IMPDISP_GEOM_0001.rad Model: Rubber O-Ring Seal Installation pts/v-ray-1.4.0 -m vray Mode: CPU pts/cpuminer-opt-1.6.0 -a sha256t Algorithm: Triple SHA-256, Onecoin pts/stress-ng-1.6.0 --io-uring -1 Test: IO_uring pts/stress-ng-1.6.0 --cpu -1 --cpu-method all Test: CPU Stress pts/onednn-2.7.0 --conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU pts/npb-1.4.5 mg.C Test / Class: MG.C pts/minibude-1.0.0 --deck ../data/bm1 --iterations 500 Implementation: OpenMP - Input Deck: BM1 pts/stress-ng-1.6.0 --matrix -1 Test: Matrix Math pts/openradioss-1.0.0 Cell_Phone_Drop_0000.rad Cell_Phone_Drop_0001.rad Model: Cell Phone Drop Test pts/compress-7zip-1.10.0 Test: Compression Rating pts/tesseract-1.1.0 -w1920 -h1080 Resolution: 1920 x 1080 pts/blender-3.3.1 -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/blender-3.3.1 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: BMW27 - Compute: CPU-Only pts/stress-ng-1.6.0 --rdrand -1 Test: x86_64 RdRand pts/npb-1.4.5 cg.C Test / Class: CG.C pts/blender-3.3.1 -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/nginx-3.0.0 -c 1000 Connections: 1000 pts/nginx-3.0.0 -c 500 Connections: 500 pts/nginx-3.0.0 -c 200 Connections: 200 pts/nginx-3.0.0 -c 100 Connections: 100 pts/cloudsuite-ma-1.0.1 pts/cloudsuite-ga-1.0.1 pts/encodec-1.0.1 -b 1.5 Target Bandwidth: 1.5 kbps pts/encodec-1.0.1 -b 24 Target Bandwidth: 24 kbps pts/encodec-1.0.1 -b 6 Target Bandwidth: 6 kbps pts/encodec-1.0.1 -b 3 Target Bandwidth: 3 kbps pts/onnx-1.5.0 fcn-resnet101-11/model.onnx -e cpu Model: fcn-resnet101-11 - Device: CPU - Executor: Standard 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/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/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/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/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/weld-porosity-detection-0001.xml -d CPU Model: Weld Porosity Detection FP16 - 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/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/vehicle-detection-0202.xml -d CPU Model: Vehicle 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/person-detection-0106/FP16/person-detection-0106.xml -d CPU Model: Person Detection FP16 - Device: CPU 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/spacy-1.0.0 Model: en_core_web_trf pts/spacy-1.0.0 Model: en_core_web_lg pts/deepsparse-1.0.1 zoo:nlp/token_classification/bert-base/pytorch/huggingface/conll2003/base-none --scenario sync Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream pts/deepsparse-1.0.1 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-1.0.1 zoo:nlp/text_classification/bert-base/pytorch/huggingface/sst2/base-none --scenario sync Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream pts/deepsparse-1.0.1 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/deepsparse-1.0.1 zoo:nlp/text_classification/distilbert-none/pytorch/huggingface/mnli/base-none --scenario sync Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream pts/deepsparse-1.0.1 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-1.0.1 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario sync Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream pts/deepsparse-1.0.1 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-1.0.1 zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/base-none --scenario sync Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream pts/deepsparse-1.0.1 zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/base-none --scenario async Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.0.1 zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/12layer_pruned90-none --scenario sync Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream pts/deepsparse-1.0.1 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-1.0.1 zoo:nlp/document_classification/obert-base/pytorch/huggingface/imdb/base-none --scenario sync Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream pts/deepsparse-1.0.1 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/tensorflow-2.0.0 --device cpu --batch_size=512 --model=googlenet Device: CPU - Batch Size: 512 - Model: GoogLeNet pts/tensorflow-2.0.0 --device cpu --batch_size=256 --model=resnet50 Device: CPU - Batch Size: 256 - Model: ResNet-50 pts/tensorflow-2.0.0 --device cpu --batch_size=256 --model=googlenet Device: CPU - Batch Size: 256 - Model: GoogLeNet pts/tensorflow-2.0.0 --device cpu --batch_size=64 --model=resnet50 Device: CPU - Batch Size: 64 - Model: ResNet-50 pts/tensorflow-2.0.0 --device cpu --batch_size=64 --model=googlenet Device: CPU - Batch Size: 64 - Model: GoogLeNet pts/tensorflow-2.0.0 --device cpu --batch_size=32 --model=resnet50 Device: CPU - Batch Size: 32 - Model: ResNet-50 pts/tensorflow-2.0.0 --device cpu --batch_size=32 --model=googlenet Device: CPU - Batch Size: 32 - Model: GoogLeNet pts/tensorflow-2.0.0 --device cpu --batch_size=16 --model=resnet50 Device: CPU - Batch Size: 16 - Model: ResNet-50 pts/tensorflow-2.0.0 --device cpu --batch_size=16 --model=googlenet Device: CPU - Batch Size: 16 - Model: GoogLeNet pts/tensorflow-2.0.0 --device cpu --batch_size=512 --model=alexnet Device: CPU - Batch Size: 512 - Model: AlexNet pts/tensorflow-2.0.0 --device cpu --batch_size=256 --model=alexnet Device: CPU - Batch Size: 256 - Model: AlexNet pts/tensorflow-2.0.0 --device cpu --batch_size=64 --model=alexnet Device: CPU - Batch Size: 64 - Model: AlexNet pts/tensorflow-2.0.0 --device cpu --batch_size=32 --model=alexnet Device: CPU - Batch Size: 32 - Model: AlexNet pts/tensorflow-2.0.0 --device cpu --batch_size=16 --model=alexnet Device: CPU - Batch Size: 16 - Model: AlexNet pts/hammerdb-mariadb-1.1.0 64 250 Virtual Users: 64 - Warehouses: 250 pts/hammerdb-mariadb-1.1.0 64 100 Virtual Users: 64 - Warehouses: 100 pts/hammerdb-mariadb-1.1.0 32 250 Virtual Users: 32 - Warehouses: 250 pts/hammerdb-mariadb-1.1.0 32 100 Virtual Users: 32 - Warehouses: 100 pts/hammerdb-mariadb-1.1.0 16 250 Virtual Users: 16 - Warehouses: 250 pts/hammerdb-mariadb-1.1.0 16 100 Virtual Users: 16 - Warehouses: 100 pts/hammerdb-mariadb-1.1.0 8 250 Virtual Users: 8 - Warehouses: 250 pts/hammerdb-mariadb-1.1.0 8 100 Virtual Users: 8 - Warehouses: 100 pts/spark-1.0.0 -r 1000000 -p 500 Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test Time pts/spark-1.0.0 -r 1000000 -p 500 Row Count: 1000000 - Partitions: 500 - Repartition Test Time pts/spark-1.0.0 -r 1000000 -p 500 Row Count: 1000000 - Partitions: 500 - Group By Test Time pts/spark-1.0.0 -r 1000000 -p 500 Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.0 -r 1000000 -p 500 Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark pts/spark-1.0.0 -r 1000000 -p 500 Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark Time pts/spark-1.0.0 -r 1000000 -p 100 Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time pts/spark-1.0.0 -r 1000000 -p 100 Row Count: 1000000 - Partitions: 100 - Repartition Test Time pts/spark-1.0.0 -r 1000000 -p 100 Row Count: 1000000 - Partitions: 100 - Group By Test Time pts/spark-1.0.0 -r 1000000 -p 100 Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.0 -r 1000000 -p 100 Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark pts/spark-1.0.0 -r 1000000 -p 100 Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time 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/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/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/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/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/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 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 1 1 --resolution 3840 2160 --spp 1 --renderer pathtracer Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer pts/build-nodejs-1.2.0 Time To Compile pts/stargate-1.0.1 96000 1024 Sample Rate: 96000 - Buffer Size: 1024 pts/stargate-1.0.1 44100 1024 Sample Rate: 44100 - Buffer Size: 1024 pts/stargate-1.0.1 96000 512 Sample Rate: 96000 - Buffer Size: 512 pts/stargate-1.0.1 44100 512 Sample Rate: 44100 - Buffer Size: 512 pts/aom-av1-3.5.0 --cpu-used=10 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K pts/aom-av1-3.5.0 --cpu-used=9 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K pts/aom-av1-3.5.0 --cpu-used=8 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K pts/aom-av1-3.5.0 --cpu-used=6 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K 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/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/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/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/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/srsran-1.2.0 lib/src/phy/dft/test/ofdm_test -N 2048 -n 100 -r 500000 Test: OFDM_Test pts/renaissance-1.3.0 db-shootout Test: In-Memory Database Shootout pts/dacapobench-1.0.1 tradebeans Java Test: Tradebeans pts/dacapobench-1.0.1 tradesoap Java Test: Tradesoap pts/java-gradle-perf-1.1.0 TEST_REACTOR Gradle Build: Reactor pts/chia-vdf-1.1.0 square_asm Test: Square Assembly Optimized pts/chia-vdf-1.1.0 square Test: Square Plain C++ pts/xmrig-1.1.0 -a rx/wow --bench=1M Variant: Wownero - Hash Count: 1M pts/xmrig-1.1.0 --bench=1M Variant: Monero - Hash Count: 1M 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/polyhedron-1.0.1 mp_prop_design Benchmark: mp_prop_design pts/polyhedron-1.0.1 test_fpu2 Benchmark: test_fpu2 pts/polyhedron-1.0.1 gas_dyn2 Benchmark: gas_dyn2 pts/polyhedron-1.0.1 fatigue2 Benchmark: fatigue2 pts/polyhedron-1.0.1 channel2 Benchmark: channel2 pts/polyhedron-1.0.1 capacita Benchmark: capacita pts/polyhedron-1.0.1 protein Benchmark: protein pts/polyhedron-1.0.1 induct2 Benchmark: induct2 pts/polyhedron-1.0.1 rnflow Benchmark: rnflow pts/polyhedron-1.0.1 aermod Benchmark: aermod pts/polyhedron-1.0.1 tfft2 Benchmark: tfft2 pts/polyhedron-1.0.1 linpk Benchmark: linpk pts/polyhedron-1.0.1 doduc Benchmark: doduc pts/polyhedron-1.0.1 mdbx Benchmark: mdbx pts/polyhedron-1.0.1 air Benchmark: air pts/polyhedron-1.0.1 ac Benchmark: ac pts/xonotic-1.6.0 +vid_width 3840 +vid_height 2160 +exec effects-ultimate.cfg Resolution: 3840 x 2160 - Effects Quality: Ultimate pts/xonotic-1.6.0 +vid_width 1920 +vid_height 1080 +exec effects-ultimate.cfg Resolution: 1920 x 1080 - Effects Quality: Ultimate pts/xonotic-1.6.0 +vid_width 3840 +vid_height 2160 +exec effects-ultra.cfg Resolution: 3840 x 2160 - Effects Quality: Ultra pts/xonotic-1.6.0 +vid_width 1920 +vid_height 1080 +exec effects-ultra.cfg Resolution: 1920 x 1080 - Effects Quality: Ultra pts/warsow-1.6.0 +vid_width 3840 +vid_height 2160 Resolution: 3840 x 2160 pts/nginx-3.0.0 -c 20 Connections: 20 pts/nginx-3.0.0 -c 1 Connections: 1 pts/pyhpc-3.0.0 --device cpu -b tensorflow -s 16384 benchmarks/isoneutral_mixing/ Device: CPU - Backend: TensorFlow - Project Size: 16384 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b tensorflow -s 16384 benchmarks/equation_of_state/ Device: CPU - Backend: TensorFlow - Project Size: 16384 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b pytorch -s 16384 benchmarks/isoneutral_mixing/ Device: CPU - Backend: PyTorch - Project Size: 16384 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b pytorch -s 16384 benchmarks/equation_of_state/ Device: CPU - Backend: PyTorch - Project Size: 16384 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b aesara -s 16384 benchmarks/isoneutral_mixing/ Device: CPU - Backend: Aesara - Project Size: 16384 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b aesara -s 16384 benchmarks/equation_of_state/ Device: CPU - Backend: Aesara - Project Size: 16384 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b numpy -s 16384 benchmarks/isoneutral_mixing/ Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b numpy -s 16384 benchmarks/equation_of_state/ Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b numba -s 16384 benchmarks/isoneutral_mixing/ Device: CPU - Backend: Numba - Project Size: 16384 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b numba -s 16384 benchmarks/equation_of_state/ Device: CPU - Backend: Numba - Project Size: 16384 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b jax -s 16384 benchmarks/isoneutral_mixing/ Device: CPU - Backend: JAX - Project Size: 16384 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b jax -s 16384 benchmarks/equation_of_state/ Device: CPU - Backend: JAX - Project Size: 16384 - Benchmark: Equation of State pts/onnx-1.5.0 resnet100/resnet100.onnx -e cpu Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard pts/stress-ng-1.6.0 --sock -1 Test: Socket Activity pts/stress-ng-1.6.0 --cache -1 Test: CPU Cache pts/stress-ng-1.6.0 --atomic -1 Test: Atomic pts/stress-ng-1.6.0 --futex -1 Test: Futex pts/memtier-benchmark-1.4.1 -P redis -c 50 --ratio=1:1 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:1 pts/tensorflow-2.0.0 --device cpu --batch_size=512 --model=resnet50 Device: CPU - Batch Size: 512 - Model: ResNet-50 pts/graph500-1.0.1 26 Scale: 26 pts/financebench-1.1.1 Bonds/OpenMP/bondsEngine.exe Benchmark: Bonds OpenMP pts/financebench-1.1.1 Repo/OpenMP/repoEngine.exe Benchmark: Repo OpenMP pts/spark-1.0.0 -r 1000000 -p 500 Row Count: 1000000 - Partitions: 500 - Inner Join Test Time pts/spark-1.0.0 -r 1000000 -p 100 Row Count: 1000000 - Partitions: 100 - Inner Join Test Time pts/cpuminer-opt-1.6.0 -a blake2s Algorithm: Blake-2 S pts/node-octane-1.0.1 pts/onednn-2.7.0 --matmul --batch=inputs/matmul/shapes_transformer --cfg=f32 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU pts/svt-vp9-1.3.1 -tune 2 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: VMAF Optimized - 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/dacapobench-1.0.1 eclipse Java Test: Eclipse pts/dacapobench-1.0.1 h2 Java Test: H2 pts/npb-1.4.5 ft.C Test / Class: FT.C