Linux 6.6 Intel Core i9 13900K Raptor Lake

Intel Core i9-13900K Linux 6.4 / 6.5 / 6.6 Git benchmarks by Michael Larabel

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AV1 3 Tests
Web Browsers 1 Tests
Timed Code Compilation 3 Tests
C/C++ Compiler Tests 11 Tests
CPU Massive 15 Tests
Creator Workloads 20 Tests
Database Test Suite 2 Tests
Encoding 10 Tests
Game Development 3 Tests
HPC - High Performance Computing 2 Tests
Imaging 6 Tests
Common Kernel Benchmarks 2 Tests
Machine Learning 2 Tests
Multi-Core 16 Tests
Programmer / Developer System Benchmarks 8 Tests
Python 2 Tests
Server 5 Tests
Server CPU Tests 14 Tests
Single-Threaded 7 Tests
Video Encoding 9 Tests
Common Workstation Benchmarks 3 Tests

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  Test
  Duration
Linux 6.4.14
September 10 2023
  6 Hours, 7 Minutes
Linux 6.5.1
September 10 2023
  8 Hours, 34 Minutes
Linux 6.6-rc1
September 11 2023
  7 Hours, 9 Minutes
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  7 Hours, 17 Minutes

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Linux 6.6 Intel Core i9 13900K Raptor Lake Suite 1.0.0 System Test suite extracted from Linux 6.6 Intel Core i9 13900K Raptor Lake. system/selenium-1.0.36 kraken Firefox Benchmark: Kraken - Browser: Firefox system/selenium-1.0.36 octane Firefox Benchmark: Octane - Browser: Firefox system/selenium-1.0.36 jetstream2 Firefox Benchmark: Jetstream 2 - Browser: Firefox system/selenium-1.0.36 speedometer Firefox Benchmark: Speedometer - Browser: Firefox system/selenium-1.0.36 kraken Chrome Benchmark: Kraken - Browser: Google Chrome system/selenium-1.0.36 octane Chrome Benchmark: Octane - Browser: Google Chrome system/selenium-1.0.36 pspdfkit Firefox Benchmark: PSPDFKit WASM - Browser: Firefox system/selenium-1.0.36 jetstream2 Chrome Benchmark: Jetstream 2 - Browser: Google Chrome system/selenium-1.0.36 speedometer Chrome Benchmark: Speedometer - Browser: Google Chrome system/selenium-1.0.36 pspdfkit Chrome Benchmark: PSPDFKit WASM - Browser: Google Chrome system/selenium-1.0.36 wasmconvolute Firefox Benchmark: WASM imageConvolute - Browser: Firefox system/selenium-1.0.36 wasmcollision Firefox Benchmark: WASM collisionDetection - Browser: Firefox system/selenium-1.0.36 wasmconvolute Chrome Benchmark: WASM imageConvolute - Browser: Google Chrome system/selenium-1.0.36 wasmcollision Chrome Benchmark: WASM collisionDetection - Browser: Google Chrome pts/encode-flac-1.8.1 WAV To FLAC system/darktable-1.0.5 bench.SRW output.jpg --core -d perf --disable-opencl Test: Boat - Acceleration: CPU-only system/darktable-1.0.5 masskrug.NEF output.jpg --core -d perf --disable-opencl Test: Masskrug - Acceleration: CPU-only system/darktable-1.0.5 server-rack.dng output.jpg --core -d perf --disable-opencl Test: Server Rack - Acceleration: CPU-only system/darktable-1.0.5 server_room.NEF output.jpg --core -d perf --disable-opencl Test: Server Room - Acceleration: CPU-only pts/tjbench-1.2.0 decompression-throughput Test: Decompression Throughput pts/astcenc-1.4.0 -fast -repeats 120 Preset: Fast pts/astcenc-1.4.0 -medium -repeats 20 Preset: Medium pts/astcenc-1.4.0 -thorough -repeats 10 Preset: Thorough pts/astcenc-1.4.0 -exhaustive -repeats 2 Preset: Exhaustive system/rawtherapee-1.0.1 Total Benchmark Time pts/webp-1.2.0 Encode Settings: Default pts/webp-1.2.0 -q 100 Encode Settings: Quality 100 pts/webp-1.2.0 -q 100 -lossless Encode Settings: Quality 100, Lossless pts/webp-1.2.0 -q 100 -m 6 Encode Settings: Quality 100, Highest Compression pts/webp-1.2.0 -q 100 -lossless -m 6 Encode Settings: Quality 100, Lossless, Highest Compression system/ocrmypdf-1.0.0 Processing 60 Page PDF Document system/gimp-1.1.3 resize Test: resize system/gimp-1.1.3 rotate Test: rotate system/gimp-1.1.3 auto-levels Test: auto-levels system/gimp-1.1.3 unsharp-mask Test: unsharp-mask pts/deepsparse-1.5.2 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-1.5.2 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/deepsparse-1.5.2 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-1.5.2 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-1.5.2 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario async Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.2 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-1.5.2 zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/base-none --scenario async Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.2 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-1.5.2 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-1.5.2 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-1.5.2 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-1.5.2 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-1.5.2 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/deepsparse-1.5.2 zoo:nlp/text_classification/bert-base/pytorch/huggingface/sst2/base-none --input_shapes='[1,128]' --scenario async Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.2 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/openvino-1.2.0 -m models/intel/face-detection-0206/FP16/face-detection-0206.xml -d CPU Model: Face Detection FP16 - Device: CPU 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/openvino-1.2.0 -m models/intel/person-detection-0106/FP32/person-detection-0106.xml -d CPU Model: Person Detection FP32 - Device: CPU pts/openvino-1.2.0 -m models/intel/vehicle-detection-0202/FP16/vehicle-detection-0202.xml -d CPU Model: Vehicle Detection FP16 - Device: CPU 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/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/weld-porosity-detection-0001.xml -d CPU Model: Weld Porosity Detection FP16 - Device: CPU 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/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/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/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-1.2.0 -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 system/wireguard-1.0.1 pts/compress-7zip-1.10.0 Test: Compression Rating pts/compress-7zip-1.10.0 Test: Decompression Rating pts/john-the-ripper-1.8.0 --format=bcrypt Test: bcrypt pts/john-the-ripper-1.8.0 --format=wpapsk Test: WPA PSK pts/john-the-ripper-1.8.0 --format=bcrypt Test: Blowfish pts/john-the-ripper-1.8.0 --format=HMAC-SHA512 Test: HMAC-SHA512 pts/john-the-ripper-1.8.0 --format=md5crypt Test: MD5 pts/build-llvm-1.5.0 Ninja Build System: Ninja pts/build-linux-kernel-1.15.0 defconfig Build: defconfig pts/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset medium Video Input: Bosphorus 4K - Video Preset: Medium pts/kvazaar-1.2.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset medium Video Input: Bosphorus 1080p - Video Preset: Medium pts/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset veryfast Video Input: Bosphorus 4K - Video Preset: Very Fast pts/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset superfast Video Input: Bosphorus 4K - Video Preset: Super Fast pts/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset ultrafast Video Input: Bosphorus 4K - Video Preset: Ultra Fast pts/kvazaar-1.2.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset veryfast Video Input: Bosphorus 1080p - Video Preset: Very Fast pts/kvazaar-1.2.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset superfast Video Input: Bosphorus 1080p - Video Preset: Super 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/aom-av1-3.7.0 --cpu-used=6 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K pts/aom-av1-3.7.0 --cpu-used=8 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K pts/aom-av1-3.7.0 --cpu-used=9 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K pts/aom-av1-3.7.0 --cpu-used=10 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K pts/aom-av1-3.7.0 --cpu-used=11 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 11 Realtime - Input: Bosphorus 4K pts/aom-av1-3.7.0 --cpu-used=6 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p pts/aom-av1-3.7.0 --cpu-used=8 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p pts/aom-av1-3.7.0 --cpu-used=9 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p pts/aom-av1-3.7.0 --cpu-used=10 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p pts/aom-av1-3.7.0 --cpu-used=11 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 11 Realtime - Input: Bosphorus 1080p pts/svt-vp9-1.3.1 -tune 2 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: VMAF Optimized - Input: Bosphorus 4K pts/svt-vp9-1.3.1 -tune 2 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: VMAF Optimized - Input: Bosphorus 1080p pts/svt-vp9-1.3.1 -tune 1 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K pts/svt-vp9-1.3.1 -tune 1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p pts/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 0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p pts/svt-av1-2.10.0 --preset 4 -n 160 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 4 - Input: Bosphorus 4K pts/svt-av1-2.10.0 --preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 8 - Input: Bosphorus 4K pts/svt-av1-2.10.0 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K pts/svt-av1-2.10.0 --preset 13 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 13 - Input: Bosphorus 4K pts/svt-av1-2.10.0 --preset 4 -n 160 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 4 - Input: Bosphorus 1080p pts/svt-av1-2.10.0 --preset 8 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 8 - Input: Bosphorus 1080p pts/svt-av1-2.10.0 --preset 12 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 12 - Input: Bosphorus 1080p pts/svt-av1-2.10.0 --preset 13 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 13 - Input: Bosphorus 1080p pts/x265-1.3.0 Bosphorus_3840x2160.y4m Video Input: Bosphorus 4K pts/x265-1.3.0 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Video Input: Bosphorus 1080p pts/svt-hevc-1.2.1 -encMode 1 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: 1 - Input: Bosphorus 4K pts/svt-hevc-1.2.1 -encMode 7 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: 7 - 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/svt-hevc-1.2.1 -encMode 1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: 1 - Input: Bosphorus 1080p pts/svt-hevc-1.2.1 -encMode 7 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: 7 - Input: Bosphorus 1080p pts/svt-hevc-1.2.1 -encMode 10 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: 10 - Input: Bosphorus 1080p 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/blender-3.6.0 -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/uvg266-1.0.0 -i Bosphorus_3840x2160.y4m --preset medium Video Input: Bosphorus 4K - Video Preset: Medium pts/uvg266-1.0.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset medium Video Input: Bosphorus 1080p - Video Preset: Medium 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/uvg266-1.0.0 -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 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/uvg266-1.0.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset ultrafast Video Input: Bosphorus 1080p - Video Preset: Ultra Fast pts/vvenc-1.9.1 -i Bosphorus_3840x2160.y4m --preset fast Video Input: Bosphorus 4K - Video Preset: Fast pts/vvenc-1.9.1 -i Bosphorus_3840x2160.y4m --preset faster Video Input: Bosphorus 4K - Video Preset: Faster pts/vvenc-1.9.1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset fast Video Input: Bosphorus 1080p - Video Preset: Fast pts/vvenc-1.9.1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset faster Video Input: Bosphorus 1080p - Video Preset: Faster pts/avifenc-1.4.0 -s 0 Encoder Speed: 0 pts/avifenc-1.4.0 -s 2 Encoder Speed: 2 pts/avifenc-1.4.0 -s 6 Encoder Speed: 6 pts/avifenc-1.4.0 -s 6 -l Encoder Speed: 6, Lossless pts/avifenc-1.4.0 -s 10 -l Encoder Speed: 10, Lossless pts/build-godot-4.0.0 Time To Compile pts/pyperformance-1.0.2 go Benchmark: go pts/pyperformance-1.0.2 2to3 Benchmark: 2to3 pts/pyperformance-1.0.2 chaos Benchmark: chaos pts/pyperformance-1.0.2 float Benchmark: float pts/pyperformance-1.0.2 nbody Benchmark: nbody pts/pyperformance-1.0.2 pathlib Benchmark: pathlib pts/pyperformance-1.0.2 raytrace Benchmark: raytrace pts/pyperformance-1.0.2 json_loads Benchmark: json_loads pts/pyperformance-1.0.2 crypto_pyaes Benchmark: crypto_pyaes pts/pyperformance-1.0.2 regex_compile Benchmark: regex_compile pts/pyperformance-1.0.2 python_startup Benchmark: python_startup pts/pyperformance-1.0.2 django_template Benchmark: django_template pts/pyperformance-1.0.2 pickle_pure_python Benchmark: pickle_pure_python pts/nginx-3.0.1 -c 100 Connections: 100 pts/nginx-3.0.1 -c 200 Connections: 200 pts/nginx-3.0.1 -c 500 Connections: 500 pts/nginx-3.0.1 -c 1000 Connections: 1000 pts/phpbench-1.1.6 PHP Benchmark Suite pts/redis-1.4.0 -t get -c 50 Test: GET - Parallel Connections: 50 pts/redis-1.4.0 -t set -c 50 Test: SET - Parallel Connections: 50 pts/redis-1.4.0 -t lpop -c 50 Test: LPOP - Parallel Connections: 50 pts/redis-1.4.0 -t sadd -c 50 Test: SADD - Parallel Connections: 50 pts/redis-1.4.0 -t lpush -c 50 Test: LPUSH - Parallel Connections: 50 pts/sqlite-speedtest-1.0.1 Timed Time - Size 1,000 pts/simdjson-2.0.1 kostya Throughput Test: Kostya pts/simdjson-2.0.1 top_tweet Throughput Test: TopTweet pts/simdjson-2.0.1 large_random Throughput Test: LargeRandom pts/simdjson-2.0.1 partial_tweets Throughput Test: PartialTweets pts/simdjson-2.0.1 distinct_user_id Throughput Test: DistinctUserID pts/git-1.1.0 Time To Complete Common Git Commands pts/pybench-1.1.3 Total For Average Test Times