Meteor Lake Core Ultra 7 155H Intel Linux Benchmarks

Intel Meteor Lake 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 2312263-NE-INTELGEN932
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

Audio Encoding 2 Tests
AV1 2 Tests
Web Browsers 1 Tests
Timed Code Compilation 4 Tests
C/C++ Compiler Tests 12 Tests
CPU Massive 16 Tests
Creator Workloads 18 Tests
Encoding 11 Tests
Game Development 2 Tests
HPC - High Performance Computing 8 Tests
Imaging 4 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

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Disable Color Branding
Prefer Vertical Bar Graphs
No Box Plots
On Line Graphs With Missing Data, Connect The Line Gaps

Additional Graphs

Show Perf Per Core/Thread Calculation Graphs Where Applicable
Show Perf Per Clock Calculation Graphs Where Applicable

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs
Condense Test Profiles With Multiple Version Results Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
Core i7 8565U
December 25 2023
  14 Hours, 22 Minutes
Core i7 1065G7
December 24 2023
  19 Hours, 18 Minutes
Core i7 1185G7
December 23 2023
  12 Hours, 23 Minutes
Core i7 1280P
December 21 2023
  17 Hours, 34 Minutes
Core Ultra 7 155H
December 20 2023
  9 Hours, 29 Minutes
Invert Hiding All Results Option
  14 Hours, 37 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


Meteor Lake Core Ultra 7 155H Intel Linux Benchmarks Suite 1.0.0 System Test suite extracted from Meteor Lake Core Ultra 7 155H Intel Linux Benchmarks. 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/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/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/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/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/build-ffmpeg-6.1.0 Time To Compile 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/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/kvazaar-1.2.0 -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/compress-7zip-1.10.0 Test: Compression Rating pts/build-llvm-1.5.0 Ninja Build System: Ninja pts/build-godot-4.0.0 Time To Compile 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/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset ultrafast Video Input: Bosphorus 4K - Video Preset: Ultra Fast pts/tensorflow-2.1.0 --device cpu --batch_size=16 --model=resnet50 Device: CPU - Batch Size: 16 - Model: ResNet-50 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/x265-1.3.0 Bosphorus_3840x2160.y4m Video Input: Bosphorus 4K 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/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 faster Video Input: Bosphorus 1080p - 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/openvino-1.4.0 -m models/intel/person-detection-0303/FP16/person-detection-0303.xml -d CPU Model: Person Detection FP16 - Device: CPU pts/tensorflow-lite-1.1.0 --graph=inception_v4.tflite Model: Inception V4 pts/gromacs-1.8.0 mpi-build water-cut1.0_GMX50_bare/1536 Implementation: MPI CPU - Input: water_GMX50_bare system/selenium-1.0.38 wasmconvolute Chrome Benchmark: WASM imageConvolute - Browser: Google Chrome pts/tensorflow-lite-1.1.0 --graph=mobilenet_v1_1.0_224_quant.tflite Model: Mobilenet Quant pts/openradioss-1.1.1 Cell_Phone_Drop_0000.rad Cell_Phone_Drop_0001.rad Model: Cell Phone Drop Test pts/tensorflow-lite-1.1.0 --graph=mobilenet_v1_1.0_224.tflite Model: Mobilenet Float 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 upload Encoder: libx265 - Scenario: Upload pts/openradioss-1.1.1 BIRD_WINDSHIELD_v1_0000.rad BIRD_WINDSHIELD_v1_0001.rad Model: Bird Strike on Windshield system/selenium-1.0.38 kraken Chrome Benchmark: Kraken - Browser: Google Chrome system/selenium-1.0.38 ares6 Chrome Benchmark: ARES-6 - Browser: Google Chrome system/selenium-1.0.38 wasmcollision Firefox Benchmark: WASM collisionDetection - Browser: Firefox pts/simdjson-2.0.1 top_tweet Throughput Test: TopTweet pts/z3-1.0.0 1.smt2 SMT File: 1.smt2 system/selenium-1.0.38 kraken Firefox Benchmark: Kraken - Browser: Firefox system/selenium-1.0.38 speedometer Chrome Benchmark: Speedometer - Browser: Google Chrome pts/ffmpeg-6.1.0 --encoder=libx265 platform Encoder: libx265 - Scenario: Platform pts/ffmpeg-6.1.0 --encoder=libx265 vod Encoder: libx265 - Scenario: Video On Demand system/selenium-1.0.38 jetstream2 Chrome Benchmark: Jetstream 2 - Browser: Google Chrome system/selenium-1.0.38 octane Chrome Benchmark: Octane - Browser: Google Chrome pts/pybench-1.1.3 Total For Average Test Times pts/pyperformance-1.0.2 json_loads Benchmark: json_loads system/selenium-1.0.38 wasmconvolute Firefox Benchmark: WASM imageConvolute - Browser: Firefox pts/dacapobench-1.1.0 jython Java Test: Jython pts/z3-1.0.0 2.smt2 SMT File: 2.smt2 pts/sqlite-speedtest-1.0.1 Timed Time - Size 1,000 pts/ffmpeg-6.1.0 --encoder=libx265 live Encoder: libx265 - Scenario: Live system/selenium-1.0.38 wasmcollision Chrome Benchmark: WASM collisionDetection - Browser: Google Chrome system/selenium-1.0.38 octane Firefox Benchmark: Octane - Browser: Firefox pts/phpbench-1.1.6 PHP Benchmark Suite system/openscad-1.0.0 mini-itx.scad Render: Mini-ITX Case system/selenium-1.0.38 jetstream2 Firefox Benchmark: Jetstream 2 - Browser: Firefox system/selenium-1.0.38 speedometer Firefox Benchmark: Speedometer - Browser: Firefox pts/quantlib-1.2.0 Configuration: Single-Threaded system/gimp-1.1.3 auto-levels Test: auto-levels system/openscad-1.0.0 Pistol.scad Render: Pistol system/openscad-1.0.0 swivel.scad Render: Projector Mount Swivel system/gimp-1.1.3 rotate Test: rotate system/openscad-1.0.0 leonardo_case_slim_lid_v1_2.scad Render: Leonardo Phone Case Slim pts/pyperformance-1.0.2 crypto_pyaes Benchmark: crypto_pyaes pts/encode-mp3-1.7.4 WAV To MP3 system/selenium-1.0.38 ares6 Firefox Benchmark: ARES-6 - Browser: Firefox system/gimp-1.1.3 unsharp-mask Test: unsharp-mask pts/pyperformance-1.0.2 regex_compile Benchmark: regex_compile system/octave-benchmark-1.0.1 pts/webp-1.2.0 -q 100 -lossless Encode Settings: Quality 100, Lossless system/selenium-1.0.38 pspdfkit Chrome Benchmark: PSPDFKit WASM - Browser: Google Chrome system/selenium-1.0.38 pspdfkit Firefox Benchmark: PSPDFKit WASM - Browser: Firefox pts/webp-1.2.0 -q 100 Encode Settings: Quality 100 pts/webp-1.2.0 -q 100 -m 6 Encode Settings: Quality 100, Highest Compression pts/simdjson-2.0.1 partial_tweets Throughput Test: PartialTweets pts/john-the-ripper-1.8.0 --format=wpapsk Test: WPA PSK pts/john-the-ripper-1.8.0 --format=bcrypt Test: bcrypt pts/john-the-ripper-1.8.0 --format=HMAC-SHA512 Test: HMAC-SHA512 pts/quantlib-1.2.0 --mp Configuration: Multi-Threaded pts/java-scimark2-1.2.0 TEST_COMPOSITE Computational Test: Composite pts/encode-flac-1.8.1 WAV To FLAC 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-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-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-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 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K 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/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 system/rawtherapee-1.0.1 Total Benchmark Time pts/compress-7zip-1.10.0 Test: Decompression Rating pts/build-linux-kernel-1.15.0 defconfig Build: defconfig