Meteor Lake Core Ultra 7 155H Linux

Intel Core i7-1280P testing with a MSI MS-14C6 (E14C6IMS.115 BIOS) and MSI Intel ADL GT2 15GB on Ubuntu 23.10 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 2312226-NE-2312212NE88
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Audio Encoding 2 Tests
AV1 2 Tests
Web Browsers 1 Tests
Timed Code Compilation 4 Tests
C/C++ Compiler Tests 12 Tests
CPU Massive 17 Tests
Creator Workloads 19 Tests
Encoding 11 Tests
Game Development 2 Tests
HPC - High Performance Computing 8 Tests
Imaging 5 Tests
Java 2 Tests
Machine Learning 5 Tests
Multi-Core 18 Tests
NVIDIA GPU Compute 2 Tests
OpenMPI Tests 2 Tests
Productivity 2 Tests
Programmer / Developer System Benchmarks 8 Tests
Python 2 Tests
Scientific Computing 2 Tests
Server 3 Tests
Server CPU Tests 13 Tests
Single-Threaded 5 Tests
Video Encoding 9 Tests
Common Workstation Benchmarks 2 Tests

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  Test
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Core Ultra 7 155H
December 20 2023
  10 Hours, 18 Minutes
Core i7 1280P
December 21 2023
  18 Hours, 27 Minutes
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  14 Hours, 22 Minutes
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Meteor Lake Core Ultra 7 155H Linux Suite 1.0.0 System Test suite extracted from Meteor Lake Core Ultra 7 155H Linux. pts/build-godot-4.0.0 Time To Compile pts/build-llvm-1.5.0 Ninja Build System: Ninja pts/openradioss-1.1.1 Cell_Phone_Drop_0000.rad Cell_Phone_Drop_0001.rad Model: Cell Phone Drop Test pts/openradioss-1.1.1 BIRD_WINDSHIELD_v1_0000.rad BIRD_WINDSHIELD_v1_0001.rad Model: Bird Strike on Windshield 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/build-linux-kernel-1.15.0 defconfig Build: defconfig pts/openradioss-1.1.1 RUBBER_SEAL_IMPDISP_GEOM_0000.rad RUBBER_SEAL_IMPDISP_GEOM_0001.rad Model: Rubber O-Ring Seal Installation pts/ffmpeg-6.1.0 --encoder=libx265 platform Encoder: libx265 - Scenario: Platform pts/quantlib-1.2.0 --mp Configuration: Multi-Threaded pts/vvenc-1.9.1 -i Bosphorus_3840x2160.y4m --preset faster Video Input: Bosphorus 4K - Video Preset: Faster 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/john-the-ripper-1.8.0 --format=HMAC-SHA512 Test: HMAC-SHA512 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/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/avifenc-1.4.0 -s 2 Encoder Speed: 2 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/ffmpeg-6.1.0 --encoder=libx265 vod Encoder: libx265 - Scenario: Video On Demand pts/tensorflow-lite-1.1.0 --graph=inception_resnet_v2.tflite Model: Inception ResNet V2 pts/pytorch-1.0.0 cpu 1 resnet50 Device: CPU - Batch Size: 1 - Model: ResNet-50 pts/ffmpeg-6.1.0 --encoder=libx265 upload Encoder: libx265 - Scenario: Upload pts/x265-1.3.0 Bosphorus_3840x2160.y4m Video Input: Bosphorus 4K pts/ffmpeg-6.1.0 --encoder=libx265 live Encoder: libx265 - Scenario: Live pts/simdjson-2.0.1 partial_tweets Throughput Test: PartialTweets 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/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/simdjson-2.0.1 top_tweet Throughput Test: TopTweet system/rawtherapee-1.0.1 Total Benchmark Time pts/svt-av1-2.11.1 --preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 8 - Input: Bosphorus 4K pts/tensorflow-lite-1.1.0 --graph=inception_v4.tflite Model: Inception V4 pts/tensorflow-lite-1.1.0 --graph=mobilenet_v1_1.0_224.tflite Model: Mobilenet Float pts/tensorflow-lite-1.1.0 --graph=mobilenet_v1_1.0_224_quant.tflite Model: Mobilenet Quant pts/john-the-ripper-1.8.0 --format=wpapsk Test: WPA PSK pts/tensorflow-2.1.0 --device cpu --batch_size=16 --model=resnet50 Device: CPU - Batch Size: 16 - Model: ResNet-50 pts/build-ffmpeg-6.1.0 Time To Compile pts/john-the-ripper-1.8.0 --format=bcrypt Test: bcrypt 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/uvg266-1.0.0 -i Bosphorus_3840x2160.y4m --preset ultrafast Video Input: Bosphorus 4K - Video Preset: Ultra Fast pts/z3-1.0.0 2.smt2 SMT File: 2.smt2 pts/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset ultrafast Video Input: Bosphorus 4K - Video Preset: Ultra Fast pts/svt-hevc-1.2.1 -encMode 7 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: 7 - Input: Bosphorus 4K system/selenium-1.0.38 jetstream2 Firefox Benchmark: Jetstream 2 - Browser: Firefox 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/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/gromacs-1.8.0 mpi-build water-cut1.0_GMX50_bare/1536 Implementation: MPI CPU - Input: water_GMX50_bare pts/pyperformance-1.0.2 django_template Benchmark: django_template pts/quantlib-1.2.0 Configuration: Single-Threaded pts/vvenc-1.9.1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset faster Video Input: Bosphorus 1080p - Video Preset: Faster pts/dacapobench-1.1.0 h2o Java Test: H2O In-Memory Platform For Machine Learning pts/pyperformance-1.0.2 python_startup Benchmark: python_startup system/selenium-1.0.38 ares6 Firefox Benchmark: ARES-6 - Browser: Firefox pts/java-scimark2-1.2.0 TEST_COMPOSITE Computational Test: Composite pts/pyperformance-1.0.2 json_loads Benchmark: json_loads system/selenium-1.0.38 jetstream2 Chrome Benchmark: Jetstream 2 - Browser: Google Chrome pts/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset superfast Video Input: Bosphorus 4K - Video Preset: Super Fast 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/svt-vp9-1.3.1 -tune 1 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: PSNR/SSIM Optimized - 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 10 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: 10 - Input: Bosphorus 4K system/openscad-1.0.0 Pistol.scad Render: Pistol system/gimp-1.1.3 resize Test: resize system/selenium-1.0.38 speedometer Firefox Benchmark: Speedometer - Browser: Firefox pts/svt-av1-2.11.1 --preset 8 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 8 - Input: Bosphorus 1080p pts/avifenc-1.4.0 -s 6 -l Encoder Speed: 6, Lossless system/gimp-1.1.3 unsharp-mask Test: unsharp-mask pts/compress-7zip-1.10.0 Test: Decompression Rating pts/compress-7zip-1.10.0 Test: Compression Rating 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 system/selenium-1.0.38 octane Firefox Benchmark: Octane - Browser: Firefox pts/dacapobench-1.1.0 jython Java Test: Jython pts/sqlite-speedtest-1.0.1 Timed Time - Size 1,000 pts/uvg266-1.0.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset ultrafast Video Input: Bosphorus 1080p - Video Preset: Ultra Fast system/selenium-1.0.38 octane Chrome Benchmark: Octane - Browser: Google Chrome system/selenium-1.0.38 ares6 Chrome Benchmark: ARES-6 - Browser: Google Chrome system/selenium-1.0.38 pspdfkit Firefox Benchmark: PSPDFKit WASM - Browser: Firefox system/selenium-1.0.38 wasmconvolute Firefox Benchmark: WASM imageConvolute - Browser: Firefox system/selenium-1.0.38 speedometer Chrome Benchmark: Speedometer - Browser: Google Chrome pts/kvazaar-1.2.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset superfast Video Input: Bosphorus 1080p - Video Preset: Super Fast pts/pyperformance-1.0.2 crypto_pyaes Benchmark: crypto_pyaes system/selenium-1.0.38 wasmconvolute Chrome Benchmark: WASM imageConvolute - Browser: Google Chrome pts/svt-av1-2.11.1 --preset 13 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 13 - Input: Bosphorus 4K pts/avifenc-1.4.0 -s 6 Encoder Speed: 6 pts/pyperformance-1.0.2 regex_compile Benchmark: regex_compile system/selenium-1.0.38 pspdfkit Chrome Benchmark: PSPDFKit WASM - Browser: Google Chrome 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-av1-2.11.1 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K pts/kvazaar-1.2.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset ultrafast Video Input: Bosphorus 1080p - Video Preset: Ultra Fast system/openscad-1.0.0 mini-itx.scad Render: Mini-ITX Case system/selenium-1.0.38 kraken Firefox Benchmark: Kraken - Browser: Firefox pts/encode-flac-1.8.1 WAV To FLAC pts/webp-1.2.0 -q 100 -m 6 Encode Settings: Quality 100, Highest Compression pts/z3-1.0.0 1.smt2 SMT File: 1.smt2 pts/phpbench-1.1.6 PHP Benchmark Suite pts/dacapobench-1.1.0 jme Java Test: jMonkeyEngine system/selenium-1.0.38 wasmcollision Firefox Benchmark: WASM collisionDetection - Browser: Firefox system/selenium-1.0.38 wasmcollision Chrome Benchmark: WASM collisionDetection - Browser: Google Chrome system/selenium-1.0.38 kraken Chrome Benchmark: Kraken - Browser: Google Chrome system/gimp-1.1.3 auto-levels Test: auto-levels system/openscad-1.0.0 leonardo_case_slim_lid_v1_2.scad Render: Leonardo Phone Case Slim pts/webp-1.2.0 -q 100 -lossless Encode Settings: Quality 100, Lossless pts/pybench-1.1.3 Total For Average Test Times system/openscad-1.0.0 swivel.scad Render: Projector Mount Swivel system/gimp-1.1.3 rotate Test: rotate system/octave-benchmark-1.0.1 pts/encode-mp3-1.7.4 WAV To MP3 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/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-av1-2.11.1 --preset 12 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 12 - Input: Bosphorus 1080p pts/webp-1.2.0 -q 100 Encode Settings: Quality 100 system/openscad-1.0.0 RetroCar.scad Render: Retro Car pts/svt-av1-2.11.1 --preset 13 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 13 - Input: Bosphorus 1080p system/darktable-1.0.5 bench.SRW output.jpg --core -d perf --disable-opencl Test: Boat - Acceleration: CPU-only system/darktable-1.0.5 server_room.NEF output.jpg --core -d perf --disable-opencl Test: Server Room - 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