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
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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
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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/openradioss-1.1.1 Cell_Phone_Drop_0000.rad Cell_Phone_Drop_0001.rad Model: Cell Phone Drop Test 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:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario async Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream pts/build-llvm-1.5.0 Ninja Build System: Ninja 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/avifenc-1.4.0 -s 2 Encoder Speed: 2 pts/build-godot-4.0.0 Time To Compile pts/build-ffmpeg-6.1.0 Time To Compile pts/pyperformance-1.0.2 python_startup Benchmark: python_startup pts/vvenc-1.9.1 -i Bosphorus_3840x2160.y4m --preset faster Video Input: Bosphorus 4K - Video Preset: Faster 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:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/pruned95_uniform_quant-none --scenario async Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream pts/openradioss-1.1.1 RUBBER_SEAL_IMPDISP_GEOM_0000.rad RUBBER_SEAL_IMPDISP_GEOM_0001.rad Model: Rubber O-Ring Seal Installation 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/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/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/handwritten-english-recognition-0001/FP16-INT8/handwritten-english-recognition-0001.xml -d CPU Model: Handwritten English Recognition FP16-INT8 - Device: CPU pts/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset ultrafast Video Input: Bosphorus 4K - Video Preset: Ultra Fast pts/john-the-ripper-1.8.0 --format=HMAC-SHA512 Test: HMAC-SHA512 pts/x265-1.3.0 Bosphorus_3840x2160.y4m Video Input: Bosphorus 4K pts/dacapobench-1.1.0 jython Java Test: Jython 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/vvenc-1.9.1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset faster Video Input: Bosphorus 1080p - Video Preset: Faster 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/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/openradioss-1.1.1 BIRD_WINDSHIELD_v1_0000.rad BIRD_WINDSHIELD_v1_0001.rad Model: Bird Strike on Windshield 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/compress-7zip-1.10.0 Test: Compression Rating pts/ffmpeg-6.1.0 --encoder=libx265 upload Encoder: libx265 - Scenario: Upload pts/tensorflow-lite-1.1.0 --graph=inception_v4.tflite Model: Inception V4 system/octave-benchmark-1.0.1 system/selenium-1.0.38 speedometer Firefox Benchmark: Speedometer - Browser: Firefox pts/ffmpeg-6.1.0 --encoder=libx265 vod Encoder: libx265 - Scenario: Video On Demand pts/tensorflow-lite-1.1.0 --graph=mobilenet_v1_1.0_224_quant.tflite Model: Mobilenet Quant pts/tensorflow-lite-1.1.0 --graph=mobilenet_v1_1.0_224.tflite Model: Mobilenet Float pts/ffmpeg-6.1.0 --encoder=libx265 platform Encoder: libx265 - Scenario: Platform system/selenium-1.0.38 wasmconvolute Firefox Benchmark: WASM imageConvolute - Browser: Firefox pts/tensorflow-2.1.0 --device cpu --batch_size=16 --model=resnet50 Device: CPU - Batch Size: 16 - Model: ResNet-50 system/gimp-1.1.3 auto-levels Test: auto-levels pts/pyperformance-1.0.2 json_loads Benchmark: json_loads system/selenium-1.0.38 ares6 Chrome Benchmark: ARES-6 - Browser: Google Chrome system/gimp-1.1.3 rotate Test: rotate 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 system/selenium-1.0.38 pspdfkit Chrome Benchmark: PSPDFKit WASM - Browser: Google Chrome pts/simdjson-2.0.1 top_tweet Throughput Test: TopTweet system/selenium-1.0.38 kraken Chrome Benchmark: Kraken - Browser: Google Chrome system/selenium-1.0.38 kraken Firefox Benchmark: Kraken - Browser: Firefox system/selenium-1.0.38 wasmconvolute Chrome Benchmark: WASM imageConvolute - Browser: Google Chrome 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 system/selenium-1.0.38 speedometer Chrome Benchmark: Speedometer - Browser: Google Chrome pts/ffmpeg-6.1.0 --encoder=libx265 live Encoder: libx265 - Scenario: Live system/selenium-1.0.38 ares6 Firefox Benchmark: ARES-6 - Browser: Firefox pts/dacapobench-1.1.0 h2o Java Test: H2O In-Memory Platform For Machine Learning 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/pybench-1.1.3 Total For Average Test Times pts/encode-flac-1.8.1 WAV To FLAC system/selenium-1.0.38 jetstream2 Chrome Benchmark: Jetstream 2 - Browser: Google Chrome system/selenium-1.0.38 pspdfkit Firefox Benchmark: PSPDFKit WASM - Browser: Firefox system/selenium-1.0.38 jetstream2 Firefox Benchmark: Jetstream 2 - Browser: Firefox system/gimp-1.1.3 resize Test: resize system/gimp-1.1.3 unsharp-mask Test: unsharp-mask 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 system/selenium-1.0.38 octane Chrome Benchmark: Octane - Browser: Google Chrome system/openscad-1.0.0 mini-itx.scad Render: Mini-ITX Case system/rawtherapee-1.0.1 Total Benchmark Time pts/quantlib-1.2.0 Configuration: Single-Threaded pts/pyperformance-1.0.2 crypto_pyaes Benchmark: crypto_pyaes system/openscad-1.0.0 leonardo_case_slim_lid_v1_2.scad Render: Leonardo Phone Case Slim pts/webp-1.2.0 -q 100 Encode Settings: Quality 100 pts/john-the-ripper-1.8.0 --format=wpapsk Test: WPA PSK system/openscad-1.0.0 RetroCar.scad Render: Retro Car system/selenium-1.0.38 octane Firefox Benchmark: Octane - Browser: Firefox system/selenium-1.0.38 wasmcollision Firefox Benchmark: WASM collisionDetection - Browser: Firefox pts/webp-1.2.0 -q 100 -lossless Encode Settings: Quality 100, Lossless pts/pyperformance-1.0.2 django_template Benchmark: django_template pts/sqlite-speedtest-1.0.1 Timed Time - Size 1,000 pts/encode-mp3-1.7.4 WAV To MP3 system/openscad-1.0.0 Pistol.scad Render: Pistol system/openscad-1.0.0 swivel.scad Render: Projector Mount Swivel pts/pyperformance-1.0.2 regex_compile Benchmark: regex_compile pts/phpbench-1.1.6 PHP Benchmark Suite pts/dacapobench-1.1.0 jme Java Test: jMonkeyEngine pts/z3-1.0.0 2.smt2 SMT File: 2.smt2 system/selenium-1.0.38 wasmcollision Chrome Benchmark: WASM collisionDetection - Browser: Google Chrome pts/gromacs-1.8.0 mpi-build water-cut1.0_GMX50_bare/1536 Implementation: MPI CPU - Input: water_GMX50_bare 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 system/darktable-1.0.5 masskrug.NEF output.jpg --core -d perf --disable-opencl Test: Masskrug - Acceleration: CPU-only system/darktable-1.0.5 bench.SRW output.jpg --core -d perf --disable-opencl Test: Boat - Acceleration: CPU-only pts/simdjson-2.0.1 partial_tweets Throughput Test: PartialTweets pts/john-the-ripper-1.8.0 --format=bcrypt Test: bcrypt pts/quantlib-1.2.0 --mp Configuration: Multi-Threaded pts/java-scimark2-1.2.0 TEST_COMPOSITE Computational Test: Composite pts/avifenc-1.4.0 -s 6 -l Encoder Speed: 6, Lossless pts/avifenc-1.4.0 -s 6 Encoder Speed: 6 pts/x265-1.3.0 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Video Input: Bosphorus 1080p pts/uvg266-1.0.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset ultrafast Video Input: Bosphorus 1080p - Video Preset: Ultra 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/kvazaar-1.2.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset superfast Video Input: Bosphorus 1080p - Video Preset: Super Fast 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-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 7 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: 7 - Input: Bosphorus 4K 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 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 8 - Input: Bosphorus 4K 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/svt-av1-2.11.1 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K pts/svt-av1-2.11.1 --preset 13 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 13 - Input: Bosphorus 4K 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 pts/pytorch-1.0.0 cpu 1 resnet50 Device: CPU - Batch Size: 1 - Model: ResNet-50 pts/tensorflow-lite-1.1.0 --graph=inception_resnet_v2.tflite Model: Inception ResNet V2 pts/compress-7zip-1.10.0 Test: Decompression Rating pts/build-linux-kernel-1.15.0 defconfig Build: defconfig