Intel Core Ultra 7 155H vs. AMD Ryzen 7 7840U Linux Benchmarks

Intel Core Ultra 7 155H benchmarks by Michael Larabel for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2312190-NE-COREULTRA78
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Audio Encoding 3 Tests
AV1 2 Tests
Web Browsers 1 Tests
Chess Test Suite 3 Tests
Timed Code Compilation 6 Tests
C/C++ Compiler Tests 19 Tests
Compression Tests 3 Tests
CPU Massive 31 Tests
Creator Workloads 37 Tests
Cryptography 5 Tests
Database Test Suite 2 Tests
Encoding 11 Tests
Fortran Tests 2 Tests
Game Development 5 Tests
HPC - High Performance Computing 20 Tests
Imaging 9 Tests
Java Tests 2 Tests
Common Kernel Benchmarks 4 Tests
Machine Learning 14 Tests
MPI Benchmarks 3 Tests
Multi-Core 37 Tests
NVIDIA GPU Compute 7 Tests
Intel oneAPI 6 Tests
OpenMPI Tests 4 Tests
Productivity 4 Tests
Programmer / Developer System Benchmarks 14 Tests
Python 6 Tests
Raytracing 3 Tests
Renderers 8 Tests
Scientific Computing 2 Tests
Software Defined Radio 3 Tests
Server 8 Tests
Server CPU Tests 22 Tests
Single-Threaded 12 Tests
Speech 2 Tests
Telephony 2 Tests
Video Encoding 8 Tests
Common Workstation Benchmarks 3 Tests

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Ryzen 7 7840U
December 14 2023
  1 Day, 13 Hours, 52 Minutes
Core Ultra 7 155H
December 16 2023
  2 Days, 23 Hours, 19 Minutes
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  2 Days, 6 Hours, 35 Minutes
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Intel Core Ultra 7 155H vs. AMD Ryzen 7 7840U Linux Benchmarks Suite 1.0.0 System Test suite extracted from Intel Core Ultra 7 155H vs. AMD Ryzen 7 7840U Linux Benchmarks. pts/deepsparse-1.6.0 zoo:cv/segmentation/yolact-darknet53/pytorch/dbolya/coco/pruned90-none --scenario async Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream pts/openvino-1.4.0 -m models/intel/handwritten-english-recognition-0001/FP16-INT8/handwritten-english-recognition-0001.xml -d CPU Model: Handwritten English Recognition FP16-INT8 - Device: CPU pts/openvino-1.4.0 -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/deepsparse-1.6.0 zoo:nlp/sentiment_analysis/oberta-base/pytorch/huggingface/sst2/pruned90_quant-none --input_shapes='[1,128]' --scenario async Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream pts/whisper-cpp-1.0.0 -m models/ggml-small.en.bin -f ../2016-state-of-the-union.wav Model: ggml-small.en - Input: 2016 State of the Union pts/openvino-1.4.0 -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-1.4.0 -m models/intel/vehicle-detection-0202/FP16-INT8/vehicle-detection-0202.xml -d CPU Model: Vehicle Detection FP16-INT8 - Device: CPU pts/deepsparse-1.6.0 zoo:nlp/question_answering/obert-large/pytorch/huggingface/squad/pruned97_quant-none --input_shapes='[1,128]' --scenario async Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream pts/openvino-1.4.0 -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-1.4.0 -m models/intel/person-detection-0303/FP16/person-detection-0303.xml -d CPU Model: Person Detection FP16 - Device: CPU pts/deepsparse-1.6.0 zoo:nlp/question_answering/obert-large/pytorch/huggingface/squad/base-none --input_shapes='[1,128]' --scenario async Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.6.0 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-1.6.0 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/pruned95_uniform_quant-none --scenario async Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.6.0 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/deepsparse-1.6.0 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario async Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.6.0 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario async Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream pts/luaradio-1.0.0 Test: Five Back to Back FIR Filters pts/whisper-cpp-1.0.0 -m models/ggml-base.en.bin -f ../2016-state-of-the-union.wav Model: ggml-base.en - Input: 2016 State of the Union pts/deepsparse-1.6.0 zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/pruned85-none --scenario async Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.6.0 zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/base-none --scenario async Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.6.0 zoo:nlp/text_classification/distilbert-none/pytorch/huggingface/mnli/base-none --scenario async Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream pts/openvino-1.4.0 -m models/intel/face-detection-0206/FP16-INT8/face-detection-0206.xml -d CPU Model: Face Detection FP16-INT8 - Device: CPU pts/tensorflow-lite-1.1.0 --graph=squeezenet.tflite Model: SqueezeNet pts/openssl-3.1.0 rsa4096 Algorithm: RSA4096 pts/openvino-1.4.0 -m models/intel/road-segmentation-adas-0001/FP16-INT8/road-segmentation-adas-0001.xml -d CPU Model: Road Segmentation ADAS FP16-INT8 - Device: CPU pts/scikit-learn-2.0.0 tsne_mnist.py Benchmark: TSNE MNIST Dataset pts/tensorflow-lite-1.1.0 --graph=inception_v4.tflite Model: Inception V4 pts/askap-2.1.0 tConvolveMPI Test: tConvolve MPI - Degridding pts/tensorflow-lite-1.1.0 --graph=mobilenet_v1_1.0_224.tflite Model: Mobilenet Float pts/pytorch-1.0.0 cpu 16 efficientnet_v2_l Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l pts/compress-zstd-1.6.0 -b8 Compression Level: 8 - Compression Speed pts/lczero-1.7.0 -b blas Backend: BLAS pts/java-scimark2-1.2.0 TEST_FFT Computational Test: Fast Fourier Transform pts/openssl-3.1.0 -evp chacha20-poly1305 Algorithm: ChaCha20-Poly1305 pts/pytorch-1.0.0 cpu 32 resnet152 Device: CPU - Batch Size: 32 - Model: ResNet-152 pts/pytorch-1.0.0 cpu 16 resnet152 Device: CPU - Batch Size: 16 - Model: ResNet-152 pts/openssl-3.1.0 -evp chacha20 Algorithm: ChaCha20 pts/pyperformance-1.0.2 python_startup Benchmark: python_startup pts/askap-2.1.0 tConvolveMT Test: tConvolve MT - Gridding pts/compress-zstd-1.6.0 -b8 --long Compression Level: 8, Long Mode - Compression Speed pts/pytorch-1.0.0 cpu 32 resnet50 Device: CPU - Batch Size: 32 - Model: ResNet-50 pts/graphics-magick-2.1.0 -rotate 90 Operation: Rotate pts/openvino-1.4.0 -m models/intel/face-detection-retail-0005/FP16-INT8/face-detection-retail-0005.xml -d CPU Model: Face Detection Retail FP16-INT8 - Device: CPU pts/pytorch-1.0.0 cpu 16 resnet50 Device: CPU - Batch Size: 16 - Model: ResNet-50 pts/pytorch-1.0.0 cpu 1 efficientnet_v2_l Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l pts/lczero-1.7.0 -b eigen Backend: Eigen pts/pytorch-1.0.0 cpu 1 resnet50 Device: CPU - Batch Size: 1 - Model: ResNet-50 pts/rocksdb-1.5.0 --benchmarks="updaterandom" Test: Update Random pts/openssl-3.1.0 -evp aes-128-gcm Algorithm: AES-128-GCM pts/npb-1.4.5 sp.B Test / Class: SP.B 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/compress-zstd-1.6.0 -b12 Compression Level: 12 - Compression Speed 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/compress-lz4-1.0.0 -b3 -e3 Compression Level: 3 - Decompression Speed pts/compress-lz4-1.0.0 -b9 -e9 Compression Level: 9 - Decompression Speed pts/compress-lz4-1.0.0 -b1 -e1 Compression Level: 1 - Decompression Speed pts/openradioss-1.1.1 RUBBER_SEAL_IMPDISP_GEOM_0000.rad RUBBER_SEAL_IMPDISP_GEOM_0001.rad Model: Rubber O-Ring Seal Installation pts/tensorflow-lite-1.1.0 --graph=mobilenet_v1_1.0_224_quant.tflite Model: Mobilenet Quant pts/openradioss-1.1.1 Bumper_Beam_AP_meshed_0000.rad Bumper_Beam_AP_meshed_0001.rad Model: Bumper Beam pts/compress-lz4-1.0.0 -b1 -e1 Compression Level: 1 - Compression Speed pts/openssl-3.1.0 -evp aes-256-gcm Algorithm: AES-256-GCM pts/pyhpc-3.0.0 --device cpu -b numpy -s 4194304 benchmarks/equation_of_state/ Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of State pts/java-scimark2-1.2.0 TEST_MONTE Computational Test: Monte Carlo pts/java-scimark2-1.2.0 TEST_DENSE Computational Test: Dense LU Matrix Factorization pts/tensorflow-2.1.0 --device cpu --batch_size=16 --model=resnet50 Device: CPU - Batch Size: 16 - Model: ResNet-50 pts/scikit-learn-2.0.0 20newsgroups.py -e logistic_regression Benchmark: 20 Newsgroups / Logistic Regression pts/primesieve-1.9.0 1e12 Length: 1e12 system/cryptsetup-1.0.1 AES-XTS 256b Encryption pts/tensorflow-2.1.0 --device cpu --batch_size=32 --model=resnet50 Device: CPU - Batch Size: 32 - Model: ResNet-50 pts/liquid-dsp-1.6.0 -n 8 -b 256 -f 512 Threads: 8 - Buffer Length: 256 - Filter Length: 512 system/cryptsetup-1.0.1 AES-XTS 512b Encryption pts/opencv-1.3.0 core Test: Core pts/ospray-studio-1.2.0 --cameras 1 1 --resolution 3840 2160 --spp 32 --renderer pathtracer Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU pts/askap-2.1.0 tConvolveMT Test: tConvolve MT - Degridding system/gimp-1.1.3 resize Test: resize pts/indigobench-1.1.0 --cpuonly --scenes bedroom Acceleration: CPU - Scene: Bedroom system/gnuradio-1.0.0 Test: Hilbert Transform pts/liquid-dsp-1.6.0 -n 16 -b 256 -f 512 Threads: 16 - Buffer Length: 256 - Filter Length: 512 system/cryptsetup-1.0.1 AES-XTS 256b Decryption system/cryptsetup-1.0.1 AES-XTS 512b Decryption pts/ospray-studio-1.2.0 --cameras 3 3 --resolution 3840 2160 --spp 32 --renderer pathtracer Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU pts/ospray-studio-1.2.0 --cameras 1 1 --resolution 3840 2160 --spp 16 --renderer pathtracer Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU pts/openradioss-1.1.1 Cell_Phone_Drop_0000.rad Cell_Phone_Drop_0001.rad Model: Cell Phone Drop Test 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/ffmpeg-6.1.0 --encoder=libx265 live Encoder: libx265 - Scenario: Live pts/ospray-studio-1.2.0 --cameras 1 1 --resolution 1920 1080 --spp 1 --renderer pathtracer Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU pts/luaradio-1.0.0 Test: Hilbert Transform pts/ospray-studio-1.2.0 --cameras 3 3 --resolution 1920 1080 --spp 1 --renderer pathtracer Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU pts/ospray-studio-1.2.0 --cameras 3 3 --resolution 3840 2160 --spp 16 --renderer pathtracer Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU pts/openradioss-1.1.1 BIRD_WINDSHIELD_v1_0000.rad BIRD_WINDSHIELD_v1_0001.rad Model: Bird Strike on Windshield pts/ospray-studio-1.2.0 --cameras 1 1 --resolution 1920 1080 --spp 32 --renderer pathtracer Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU pts/pyhpc-3.0.0 --device cpu -b numpy -s 4194304 benchmarks/isoneutral_mixing/ Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral Mixing pts/ffmpeg-6.1.0 --encoder=libx265 vod Encoder: libx265 - Scenario: Video On Demand pts/ospray-studio-1.2.0 --cameras 3 3 --resolution 1920 1080 --spp 32 --renderer pathtracer Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU pts/ffmpeg-6.1.0 --encoder=libx265 platform Encoder: libx265 - Scenario: Platform system/gegl-1.0.0 scale-size x=400 y=400 Operation: Scale pts/ospray-studio-1.2.0 --cameras 1 1 --resolution 3840 2160 --spp 1 --renderer pathtracer Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU pts/npb-1.4.5 bt.C Test / Class: BT.C pts/numenta-nab-1.1.1 -d knncad Detector: KNN CAD pts/ospray-studio-1.2.0 --cameras 3 3 --resolution 3840 2160 --spp 1 --renderer pathtracer Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU pts/ffmpeg-6.1.0 --encoder=libx265 upload Encoder: libx265 - Scenario: Upload pts/graphics-magick-2.1.0 -sharpen 0x2.0 Operation: Sharpen pts/rocksdb-1.5.0 --benchmarks="readrandomwriterandom" Test: Read Random Write Random pts/oidn-2.1.0 -r RT.ldr_alb_nrm.3840x2160 -d cpu Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only pts/kvazaar-1.2.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset superfast Video Input: Bosphorus 1080p - Video Preset: Super Fast pts/blender-4.0.0 -b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Barbershop - Compute: CPU-Only pts/aircrack-ng-1.3.0 pts/compress-7zip-1.10.0 Test: Decompression Rating pts/ospray-studio-1.2.0 --cameras 3 3 --resolution 1920 1080 --spp 16 --renderer pathtracer Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU system/selenium-1.0.38 ares6 Chrome Benchmark: ARES-6 - Browser: Google Chrome pts/helsing-1.0.2 10000000000000 99999999999999 Digit Range: 14 digit pts/appleseed-1.0.1 emily.appleseed Scene: Emily pts/luxcorerender-1.4.0 DanishMood/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: Danish Mood - Acceleration: CPU pts/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset superfast Video Input: Bosphorus 4K - Video Preset: Super Fast pts/ospray-studio-1.2.0 --cameras 1 1 --resolution 1920 1080 --spp 16 --renderer pathtracer Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU pts/kvazaar-1.2.0 -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 veryfast Video Input: Bosphorus 1080p - Video Preset: Very Fast pts/appleseed-1.0.1 material_tester_ambient_occlusion.appleseed Scene: Material Tester pts/simdjson-2.0.1 distinct_user_id Throughput Test: DistinctUserID pts/java-scimark2-1.2.0 TEST_COMPOSITE Computational Test: Composite system/octave-benchmark-1.0.1 pts/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset veryfast Video Input: Bosphorus 4K - Video Preset: Very Fast pts/simdjson-2.0.1 top_tweet Throughput Test: TopTweet pts/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset ultrafast Video Input: Bosphorus 4K - Video Preset: Ultra 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/stockfish-1.4.0 Total Time pts/uvg266-1.0.0 -i Bosphorus_3840x2160.y4m --preset veryfast Video Input: Bosphorus 4K - Video Preset: Very Fast pts/kvazaar-1.2.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset ultrafast Video Input: Bosphorus 1080p - Video Preset: Ultra Fast pts/uvg266-1.0.0 -i Bosphorus_3840x2160.y4m --preset superfast Video Input: Bosphorus 4K - Video Preset: Super Fast pts/uvg266-1.0.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset ultrafast Video Input: Bosphorus 1080p - Video Preset: Ultra Fast pts/openvkl-2.0.0 vklBenchmarkCPU --benchmark_filter=ispc Benchmark: vklBenchmarkCPU ISPC pts/svt-av1-2.11.0 --preset 4 -n 160 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 4 - Input: Bosphorus 4K system/gnuradio-1.0.0 Test: FIR Filter pts/luxcorerender-1.4.0 LuxCore2.1Benchmark/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: LuxCore Benchmark - Acceleration: CPU pts/john-the-ripper-1.8.0 --format=bcrypt Test: Blowfish pts/luxcorerender-1.4.0 RainbowColorsAndPrism/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: Rainbow Colors and Prism - Acceleration: CPU pts/svt-av1-2.11.0 --preset 4 -n 160 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 4 - Input: Bosphorus 1080p system/gegl-1.0.0 rotate-on-center degrees=90 Operation: Rotate 90 Degrees pts/npb-1.4.5 ep.C Test / Class: EP.C pts/z3-1.0.0 2.smt2 SMT File: 2.smt2 pts/luaradio-1.0.0 Test: FM Deemphasis Filter pts/blender-4.0.0 -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/sqlite-speedtest-1.0.1 Timed Time - Size 1,000 pts/ospray-2.12.0 --benchmark_filter=particle_volume/scivis/real_time Benchmark: particle_volume/scivis/real_time pts/uvg266-1.0.0 -i Bosphorus_3840x2160.y4m --preset ultrafast Video Input: Bosphorus 4K - Video Preset: Ultra Fast pts/embree-1.6.1 pathtracer_ispc -c crown/crown.ecs Binary: Pathtracer ISPC - Model: Crown pts/compress-zstd-1.6.0 -b19 Compression Level: 19 - Decompression Speed pts/simdjson-2.0.1 partial_tweets Throughput Test: PartialTweets pts/xmrig-1.2.0 -a kawpow --bench=1M Variant: KawPow - Hash Count: 1M pts/vvenc-1.9.1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset faster Video Input: Bosphorus 1080p - Video Preset: Faster pts/ospray-2.12.0 --benchmark_filter=particle_volume/ao/real_time Benchmark: particle_volume/ao/real_time pts/pyperformance-1.0.2 regex_compile Benchmark: regex_compile pts/blender-4.0.0 -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/vvenc-1.9.1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset fast Video Input: Bosphorus 1080p - Video Preset: Fast pts/liquid-dsp-1.6.0 -n 1 -b 256 -f 32 Threads: 1 - Buffer Length: 256 - Filter Length: 32 system/gnuradio-1.0.0 Test: FM Deemphasis Filter pts/simdjson-2.0.1 kostya Throughput Test: Kostya pts/vvenc-1.9.1 -i Bosphorus_3840x2160.y4m --preset fast Video Input: Bosphorus 4K - Video Preset: Fast pts/liquid-dsp-1.6.0 -n 4 -b 256 -f 512 Threads: 4 - Buffer Length: 256 - Filter Length: 512 pts/x265-1.3.0 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Video Input: Bosphorus 1080p system/selenium-1.0.38 speedometer Firefox Benchmark: Speedometer - Browser: Firefox pts/blender-4.0.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Classroom - Compute: CPU-Only pts/liquid-dsp-1.6.0 -n 2 -b 256 -f 32 Threads: 2 - Buffer Length: 256 - Filter Length: 32 pts/indigobench-1.1.0 --cpuonly --scenes supercar Acceleration: CPU - Scene: Supercar system/selenium-1.0.38 kraken Firefox Benchmark: Kraken - Browser: Firefox pts/xmrig-1.2.0 --bench=1M Variant: Monero - Hash Count: 1M pts/v-ray-1.4.0 -m vray Mode: CPU pts/vvenc-1.9.1 -i Bosphorus_3840x2160.y4m --preset faster Video Input: Bosphorus 4K - Video Preset: Faster system/rawtherapee-1.0.1 Total Benchmark Time system/cryptsetup-1.0.1 PBKDF2-sha512 pts/embree-1.6.1 pathtracer_ispc -c asian_dragon/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon pts/xmrig-1.2.0 -a cn-heavy/0 --bench=1M Variant: CryptoNight-Heavy - Hash Count: 1M pts/xmrig-1.2.0 -a cn/upx2 --bench=1M Variant: CryptoNight-Femto UPX2 - Hash Count: 1M pts/z3-1.0.0 1.smt2 SMT File: 1.smt2 pts/numenta-nab-1.1.1 -d relativeEntropy Detector: Relative Entropy system/inkscape-1.0.1 Operation: SVG Files To PNG pts/xmrig-1.2.0 -a gr --bench=1M Variant: GhostRider - Hash Count: 1M pts/build-ffmpeg-6.1.0 Time To Compile pts/svt-vp9-1.3.1 -tune 2 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: VMAF Optimized - Input: Bosphorus 4K pts/phpbench-1.1.6 PHP Benchmark Suite pts/helsing-1.0.2 100000000000 999999999999 Digit Range: 12 digit pts/graphics-magick-2.1.0 -operator all Noise-Gaussian 30% Operation: Noise-Gaussian system/selenium-1.0.38 wasmcollision Chrome Benchmark: WASM collisionDetection - Browser: Google Chrome pts/build-gdb-1.1.0 Time To Compile system/selenium-1.0.38 kraken Chrome Benchmark: Kraken - Browser: Google Chrome pts/embree-1.6.1 pathtracer_ispc -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon Obj pts/numenta-nab-1.1.1 -d bayesChangePt Detector: Bayesian Changepoint pts/svt-av1-2.11.0 --preset 12 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 12 - Input: Bosphorus 1080p pts/java-scimark2-1.2.0 TEST_SOR Computational Test: Jacobi Successive Over-Relaxation system/selenium-1.0.38 ares6 Firefox Benchmark: ARES-6 - Browser: Firefox pts/build-linux-kernel-1.15.0 allmodconfig Build: allmodconfig system/cryptsetup-1.0.1 Serpent-XTS 512b Encryption pts/liquid-dsp-1.6.0 -n 16 -b 256 -f 32 Threads: 16 - Buffer Length: 256 - Filter Length: 32 pts/build-linux-kernel-1.15.0 defconfig Build: defconfig pts/gromacs-1.8.0 mpi-build water-cut1.0_GMX50_bare/1536 Implementation: MPI CPU - Input: water_GMX50_bare pts/graphics-magick-2.1.0 -swirl 90 Operation: Swirl pts/tjbench-1.2.0 decompression-throughput Test: Decompression Throughput pts/scikit-learn-2.0.0 sgd_regression.py Benchmark: SGD Regression pts/unpack-linux-1.2.0 linux-5.19.tar.xz pts/compress-zstd-1.6.0 -b19 --long Compression Level: 19, Long Mode - Decompression Speed pts/liquid-dsp-1.6.0 -n 2 -b 256 -f 512 Threads: 2 - Buffer Length: 256 - Filter Length: 512 system/selenium-1.0.38 jetstream2 Firefox Benchmark: Jetstream 2 - Browser: Firefox pts/liquid-dsp-1.6.0 -n 4 -b 256 -f 32 Threads: 4 - Buffer Length: 256 - Filter Length: 32 system/gimp-1.1.3 unsharp-mask Test: unsharp-mask pts/numpy-1.2.1 pts/ospray-2.12.0 --benchmark_filter=particle_volume/pathtracer/real_time Benchmark: particle_volume/pathtracer/real_time pts/svt-vp9-1.3.1 -tune 1 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K system/cryptsetup-1.0.1 Serpent-XTS 256b Encryption pts/graphics-magick-2.1.0 -enhance Operation: Enhanced pts/appleseed-1.0.1 disney_material_1.appleseed Scene: Disney Material pts/graphics-magick-2.1.0 -colorspace HWB Operation: HWB Color Space system/selenium-1.0.38 jetstream2 Chrome Benchmark: Jetstream 2 - Browser: Google Chrome system/selenium-1.0.38 pspdfkit Chrome Benchmark: PSPDFKit WASM - Browser: Google Chrome pts/svt-av1-2.11.0 --preset 13 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 13 - Input: Bosphorus 1080p pts/blender-4.0.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: BMW27 - Compute: CPU-Only pts/scikit-learn-2.0.0 isolation_forest.py Benchmark: Isolation Forest pts/encode-flac-1.8.1 WAV To FLAC pts/avifenc-1.4.0 -s 0 Encoder Speed: 0 pts/astcenc-1.4.0 -exhaustive -repeats 2 Preset: Exhaustive system/darktable-1.0.5 bench.SRW output.jpg --core -d perf --disable-opencl Test: Boat - Acceleration: CPU-only pts/luxcorerender-1.4.0 OrangeJuice/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: Orange Juice - Acceleration: CPU system/selenium-1.0.38 wasmconvolute Firefox Benchmark: WASM imageConvolute - Browser: Firefox pts/git-1.1.0 Time To Complete Common Git Commands pts/rocksdb-1.5.0 --benchmarks="readrandom" Test: Random Read system/gnuradio-1.0.0 Test: IIR Filter pts/build-godot-4.0.0 Time To Compile system/gegl-1.0.0 crop x=100 y=100 width=1920 height=1080 Operation: Crop system/gimp-1.1.3 auto-levels Test: auto-levels system/gnuradio-1.0.0 Test: Signal Source (Cosine) pts/rbenchmark-1.0.3 pts/x265-1.3.0 Bosphorus_3840x2160.y4m Video Input: Bosphorus 4K pts/build-php-1.6.0 Time To Compile system/selenium-1.0.38 pspdfkit Firefox Benchmark: PSPDFKit WASM - Browser: Firefox pts/liquid-dsp-1.6.0 -n 1 -b 256 -f 512 Threads: 1 - Buffer Length: 256 - Filter Length: 512 pts/encode-mp3-1.7.4 WAV To MP3 pts/numenta-nab-1.1.1 -d earthgeckoSkyline Detector: Earthgecko Skyline system/selenium-1.0.38 speedometer Chrome Benchmark: Speedometer - Browser: Google Chrome pts/quantlib-1.2.0 --mp Configuration: Multi-Threaded pts/pybench-1.1.3 Total For Average Test Times pts/avifenc-1.4.0 -s 2 Encoder Speed: 2 system/gegl-1.0.0 reflect Operation: Reflect system/selenium-1.0.38 wasmconvolute Chrome Benchmark: WASM imageConvolute - Browser: Google Chrome pts/avifenc-1.4.0 -s 6 -l Encoder Speed: 6, Lossless pts/quantlib-1.2.0 Configuration: Single-Threaded pts/stargate-1.1.0 44100 1024 Sample Rate: 44100 - Buffer Size: 1024 system/gimp-1.1.3 rotate Test: rotate pts/luxcorerender-1.4.0 DLSC/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: DLSC - Acceleration: CPU system/cryptsetup-1.0.1 Serpent-XTS 512b Decryption pts/avifenc-1.4.0 -s 6 Encoder Speed: 6 pts/graphics-magick-2.1.0 -resize 50% Operation: Resizing system/ocrmypdf-1.0.0 Processing 60 Page PDF Document pts/node-web-tooling-1.0.1 pts/compress-zstd-1.6.0 -b12 Compression Level: 12 - Decompression Speed system/cryptsetup-1.0.1 Serpent-XTS 256b Decryption pts/build-wasmer-1.2.0 Time To Compile pts/numenta-nab-1.1.1 -d contextOSE Detector: Contextual Anomaly Detector OSE pts/c-ray-1.2.0 Total Time - 4K, 16 Rays Per Pixel system/cryptsetup-1.0.1 PBKDF2-whirlpool pts/espeak-1.7.0 Text-To-Speech Synthesis pts/perl-benchmark-1.0.1 benchmarks/app/podhtml.b Test: Pod2html pts/compress-7zip-1.10.0 Test: Compression Rating pts/pyperformance-1.0.2 raytrace Benchmark: raytrace system/cryptsetup-1.0.1 Twofish-XTS 512b Decryption pts/webp2-1.2.1 -q 100 -effort 5 Encode Settings: Quality 100, Compression Effort 5 pts/compress-zstd-1.6.0 -b19 --long Compression Level: 19, Long Mode - Compression Speed pts/perl-benchmark-1.0.1 benchmarks/startup/noprog.b Test: Interpreter pts/openssl-3.1.0 sha512 Algorithm: SHA512 system/openscad-1.0.0 leonardo_case_slim_lid_v1_2.scad Render: Leonardo Phone Case Slim pts/compress-lz4-1.0.0 -b3 -e3 Compression Level: 3 - Compression Speed system/selenium-1.0.38 wasmcollision Firefox Benchmark: WASM collisionDetection - Browser: Firefox system/cryptsetup-1.0.1 Twofish-XTS 256b Decryption pts/pyperformance-1.0.2 crypto_pyaes Benchmark: crypto_pyaes pts/liquid-dsp-1.6.0 -n 8 -b 256 -f 32 Threads: 8 - Buffer Length: 256 - Filter Length: 32 pts/avifenc-1.4.0 -s 10 -l Encoder Speed: 10, Lossless system/cryptsetup-1.0.1 Twofish-XTS 256b Encryption pts/astcenc-1.4.0 -fast -repeats 120 Preset: Fast system/cryptsetup-1.0.1 Twofish-XTS 512b Encryption system/selenium-1.0.38 octane Chrome Benchmark: Octane - Browser: Google Chrome system/wireguard-1.0.1 system/gnuradio-1.0.0 Test: Five Back to Back FIR Filters system/openscad-1.0.0 mini-itx.scad Render: Mini-ITX Case pts/luaradio-1.0.0 Test: Complex Phase system/gegl-1.0.0 antialias Operation: Antialias pts/compress-zstd-1.6.0 -b19 Compression Level: 19 - Compression Speed pts/numenta-nab-1.1.1 -d windowedGaussian Detector: Windowed Gaussian pts/astcenc-1.4.0 -thorough -repeats 10 Preset: Thorough pts/webp2-1.2.1 Encode Settings: Default pts/stargate-1.1.0 48000 1024 Sample Rate: 480000 - Buffer Size: 1024 system/openscad-1.0.0 Pistol.scad Render: Pistol pts/compress-zstd-1.6.0 -b8 Compression Level: 8 - Decompression Speed pts/pyperformance-1.0.2 json_loads Benchmark: json_loads pts/compress-lz4-1.0.0 -b9 -e9 Compression Level: 9 - Compression Speed system/gegl-1.0.0 color-enhance Operation: Color Enhance pts/rnnoise-1.0.2 pts/xmrig-1.2.0 -a rx/wow --bench=1M Variant: Wownero - Hash Count: 1M pts/openssl-3.1.0 sha256 Algorithm: SHA256 pts/unpack-firefox-1.0.0 Extracting: firefox-84.0.source.tar.xz system/selenium-1.0.38 octane Firefox Benchmark: Octane - Browser: Firefox pts/astcenc-1.4.0 -medium -repeats 20 Preset: Medium system/darktable-1.0.5 masskrug.NEF output.jpg --core -d perf --disable-opencl Test: Masskrug - Acceleration: CPU-only system/openscad-1.0.0 swivel.scad Render: Projector Mount Swivel pts/simdjson-2.0.1 large_random Throughput Test: LargeRandom pts/stargate-1.1.0 192000 1024 Sample Rate: 192000 - Buffer Size: 1024 system/openscad-1.0.0 RetroCar.scad Render: Retro Car system/gegl-1.0.0 cartoon Operation: Cartoon pts/stargate-1.1.0 96000 1024 Sample Rate: 96000 - Buffer Size: 1024 pts/scikit-learn-2.0.0 mnist.py Benchmark: MNIST Dataset system/gegl-1.0.0 tile-glass tile-width=20 tile-height=20 Operation: Tile Glass system/darktable-1.0.5 server_room.NEF output.jpg --core -d perf --disable-opencl Test: Server Room - Acceleration: CPU-only system/gegl-1.0.0 wavelet-blur Operation: Wavelet Blur pts/compress-zstd-1.6.0 -b8 --long Compression Level: 8, Long Mode - Decompression Speed pts/webp2-1.2.1 -q 100 -effort 9 Encode Settings: Quality 100, Lossless Compression pts/webp2-1.2.1 -q 95 -effort 7 Encode Settings: Quality 95, Compression Effort 7 pts/webp2-1.2.1 -q 75 -effort 7 Encode Settings: Quality 75, Compression Effort 7 pts/scylladb-1.0.0 WRITE Test: Writes pts/rocksdb-1.5.0 --benchmarks="readwhilewriting" Test: Read While Writing pts/tensorflow-lite-1.1.0 --graph=inception_resnet_v2.tflite Model: Inception ResNet V2 pts/pytorch-1.0.0 cpu 32 efficientnet_v2_l Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l pts/pytorch-1.0.0 cpu 1 resnet152 Device: CPU - Batch Size: 1 - Model: ResNet-152 system/darktable-1.0.5 server-rack.dng output.jpg --core -d perf --disable-opencl Test: Server Rack - Acceleration: CPU-only pts/scikit-learn-2.0.0 hist_gradient_boosting_adult.py Benchmark: Hist Gradient Boosting Adult pts/scikit-learn-2.0.0 hist_gradient_boosting.py Benchmark: Hist Gradient Boosting pts/ncnn-1.5.0 -1 Target: CPU - Model: FastestDet pts/ncnn-1.5.0 -1 Target: CPU - Model: regnety_400m pts/ncnn-1.5.0 -1 Target: CPU - Model: squeezenet_ssd pts/ncnn-1.5.0 -1 Target: CPU - Model: yolov4-tiny pts/ncnn-1.5.0 -1 Target: CPU - Model: resnet50 pts/ncnn-1.5.0 -1 Target: CPU - Model: alexnet pts/ncnn-1.5.0 -1 Target: CPU - Model: resnet18 pts/ncnn-1.5.0 -1 Target: CPU - Model: vgg16 pts/ncnn-1.5.0 -1 Target: CPU - Model: googlenet pts/ncnn-1.5.0 -1 Target: CPU - Model: blazeface pts/ncnn-1.5.0 -1 Target: CPU - Model: efficientnet-b0 pts/ncnn-1.5.0 -1 Target: CPU - Model: mnasnet pts/ncnn-1.5.0 -1 Target: CPU - Model: shufflenet-v2 pts/ncnn-1.5.0 -1 Target: CPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.5.0 -1 Target: CPU-v2-v2 - Model: mobilenet-v2 pts/ncnn-1.5.0 -1 Target: CPU - Model: mobilenet pts/askap-2.1.0 tHogbomCleanOMP Test: Hogbom Clean OpenMP pts/askap-2.1.0 tConvolveMPI Test: tConvolve MPI - Gridding pts/asmfish-1.1.2 1024 Hash Memory, 26 Depth 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-av1-2.11.0 --preset 8 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 8 - Input: Bosphorus 1080p pts/svt-av1-2.11.0 --preset 13 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 13 - Input: Bosphorus 4K pts/svt-av1-2.11.0 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K pts/svt-av1-2.11.0 --preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 8 - Input: Bosphorus 4K pts/john-the-ripper-1.8.0 --format=bcrypt Test: bcrypt pts/java-scimark2-1.2.0 TEST_SPARSE Computational Test: Sparse Matrix Multiply