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
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Chess Test Suite 3 Tests
Timed Code Compilation 6 Tests
C/C++ Compiler Tests 19 Tests
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CPU Massive 31 Tests
Creator Workloads 37 Tests
Cryptography 5 Tests
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Encoding 11 Tests
Fortran Tests 2 Tests
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HPC - High Performance Computing 20 Tests
Imaging 9 Tests
Java Tests 2 Tests
Common Kernel Benchmarks 4 Tests
Machine Learning 14 Tests
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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
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Video Encoding 8 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 Intel Core Ultra 7 155H benchmarks by Michael Larabel for a future article. ,,"Ryzen 7 7840U","Core Ultra 7 155H" Processor,,AMD Ryzen 7 7840U @ 5.13GHz (8 Cores / 16 Threads),Intel Core Ultra 7 155H @ 4.80GHz (16 Cores / 22 Threads) Motherboard,,Framework FRANMDCP07 (03.03 BIOS),MTL Coral_MTH (V1.01 BIOS) Chipset,,AMD Device 14e8,Intel Device 7e7f Memory,,16GB,16GB Disk,,512GB Western Digital WD PC SN740 SDDPNQD-512G,1024GB Micron_2550_MTFDKBA1T0TGE Graphics,,AMD Phoenix1 512MB (2700/2800MHz),Intel Arc MTL 15GB (2250MHz) Audio,,AMD Rembrandt Radeon HD Audio,Intel Meteor Lake-P HD Audio Network,,MEDIATEK MT7922 802.11ax PCI,Intel Device 7e40 OS,,Ubuntu 23.10,Ubuntu 23.10 Kernel,,6.7.0-060700rc5-generic (x86_64),6.7.0-060700rc5-generic (x86_64) Desktop,,GNOME Shell 45.1,GNOME Shell 45.1 Display Server,,X Server 1.21.1.7 + Wayland,X Server 1.21.1.7 + Wayland OpenGL,,4.6 Mesa 24.0~git2312160600.5d937f~oibaf~m (git-5d937f0 2023-12-16 mantic-oibaf-ppa),4.6 Mesa 24.0~git2312160600.5d937f~oibaf~m (git-5d937f0 2023-12-16 mantic-oibaf-ppa) Compiler,,GCC 13.2.0,GCC 13.2.0 File-System,,ext4,ext4 Screen Resolution,,2256x1504,1920x1200 ,,"Ryzen 7 7840U","Core Ultra 7 155H" "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,230.8457,990.1998 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,38.05,154.63 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,8.30,29.74 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,10.1981,34.1161 "Whisper.cpp - Model: ggml-small.en - Input: 2016 State of the Union (sec)",LIB,376.50179,1256.45871 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.38,1.26 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,7.57,24.44 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,22.4109,71.8869 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,8.09,25.89 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,113.02,358.29 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,323.9412,968.9158 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,411.6000,1219.6001 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,4.0891,11.9927 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,410.9876,1194.7494 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,31.9953,92.6930 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,32.0658,92.2964 "LuaRadio - Test: Five Back to Back FIR Filters (MiB/s)",HIB,1645.2,580.0 "Whisper.cpp - Model: ggml-base.en - Input: 2016 State of the Union (sec)",LIB,134.79176,379.91964 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,67.4604,185.7702 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,68.6951,188.6114 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,46.3041,127.0009 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,405.33,1105.08 "TensorFlow Lite - Model: SqueezeNet (us)",LIB,2363.21,6109.59 "OpenSSL - Algorithm: RSA4096 (sign/s)",HIB,5348.9,2138.8 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,23.29,58.18 "Scikit-Learn - Benchmark: TSNE MNIST Dataset (sec)",LIB,219.823,515.604 "TensorFlow Lite - Model: Inception V4 (us)",LIB,32952.4,73566.5 "ASKAP - Test: tConvolve MPI - Degridding (Mpix/sec)",HIB,2753.29,1246.98 "TensorFlow Lite - Model: Mobilenet Float (us)",LIB,1690.54,3694.57 "PyTorch - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l (batches/sec)",HIB,8.50,3.92 "Zstd Compression - Compression Level: 8 - Compression Speed (MB/s)",HIB,217.6,467.2 "LeelaChessZero - Backend: BLAS (Nodes/s)",HIB,94,45 "Java SciMark - Computational Test: Fast Fourier Transform (Mflops)",HIB,340.38,710.18 "OpenSSL - Algorithm: ChaCha20-Poly1305 (byte/s)",HIB,36409327160,17574983886 "PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-152 (batches/sec)",HIB,12.54,6.08 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,480.01,234.99 "PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-152 (batches/sec)",HIB,12.56,6.20 "OpenSSL - Algorithm: ChaCha20 (byte/s)",HIB,51574280377,25496309164 "PyPerformance - Benchmark: python_startup (Milliseconds)",LIB,6.85,13.3 "ASKAP - Test: tConvolve MT - Gridding (Million Grid Points/sec)",HIB,1269.30,2425.20 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,208.88,109.71 "Zstd Compression - Compression Level: 8, Long Mode - Compression Speed (MB/s)",HIB,235.8,445.3 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,12.9901,6.9529 "PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-50 (batches/sec)",HIB,29.22,15.84 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,525.96,285.56 "GraphicsMagick - Operation: Rotate (Iterations/min)",HIB,561,1032 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,1668.12,916.95 "PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-50 (batches/sec)",HIB,29.03,16.02 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,35.35,19.52 "PyTorch - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l (batches/sec)",HIB,11.97,6.65 "LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,69,39 "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec)",HIB,48.72,27.70 "RocksDB - Test: Update Random (Op/s)",HIB,523026,304482 "OpenSSL - Algorithm: AES-128-GCM (byte/s)",HIB,96136297313,56746909603 "NAS Parallel Benchmarks - Test / Class: SP.B (Mop/s)",HIB,7551.20,12780.78 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,2.81235,1.66251 "Zstd Compression - Compression Level: 12 - Compression Speed (MB/s)",HIB,97.3,164.3 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec)",HIB,2.69361,1.60249 "LZ4 Compression - Compression Level: 3 - Decompression Speed (MB/s)",HIB,16186.6,9662.6 "LZ4 Compression - Compression Level: 9 - Decompression Speed (MB/s)",HIB,16182.9,9682.0 "LZ4 Compression - Compression Level: 1 - Decompression Speed (MB/s)",HIB,16757.2,10102.0 "OpenRadioss - Model: Rubber O-Ring Seal Installation (sec)",LIB,201.54,331.70 "TensorFlow Lite - Model: Mobilenet Quant (us)",LIB,3381.29,5506.56 "OpenRadioss - Model: Bumper Beam (sec)",LIB,181.10,292.58 "LZ4 Compression - Compression Level: 1 - Compression Speed (MB/s)",HIB,14693.92,9126.54 "OpenSSL - Algorithm: AES-256-GCM (byte/s)",HIB,82977408523,51668189820 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,4.74,7.59 "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of State (sec)",LIB,0.989,1.567 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,9.86,6.30 "Java SciMark - Computational Test: Monte Carlo (Mflops)",HIB,2079.56,1331.12 "Java SciMark - Computational Test: Dense LU Matrix Factorization (Mflops)",HIB,15816.04,10250.90 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,18984.55,12364.87 "TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,21.86,14.34 "Scikit-Learn - Benchmark: 20 Newsgroups / Logistic Regression (sec)",LIB,34.843,52.663 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,976.27,648.24 "Primesieve - Length: 1e12 (sec)",LIB,17.851,26.708 "Cryptsetup - AES-XTS 256b Encryption (MiB/s)",HIB,3667.6,5462.1 "TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,22.19,14.97 "Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,120793333,81661333 "Cryptsetup - AES-XTS 512b Encryption (MiB/s)",HIB,3374.0,4982.8 "OpenCV - Test: Core (ms)",LIB,99414,146696 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,381796,559566 "ASKAP - Test: tConvolve MT - Degridding (Million Grid Points/sec)",HIB,1886.45,2758.57 "GIMP - Test: resize (sec)",LIB,13.010,19.018 "IndigoBench - Acceleration: CPU - Scene: Bedroom (M samples/s)",HIB,1.882,1.288 "GNU Radio - Test: Hilbert Transform (MiB/s)",HIB,633.5,923.3 "Liquid-DSP - Threads: 16 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,160033333,110533333 "Cryptsetup - AES-XTS 256b Decryption (MiB/s)",HIB,3659.9,5297.7 "Cryptsetup - AES-XTS 512b Decryption (MiB/s)",HIB,3369.9,4867.6 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,454383,656126 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,193022,278225 "OpenRadioss - Model: Cell Phone Drop Test (sec)",LIB,110.21,158.81 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,3.36988,2.34088 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,293.5236,204.7944 "FFmpeg - Encoder: libx265 - Scenario: Live (FPS)",HIB,134.44,93.88 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,2990,4280 "LuaRadio - Test: Hilbert Transform (MiB/s)",HIB,129.1,184.7 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,3565,5095 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,228806,326459 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,171.23,120.16 "OpenRadioss - Model: Bird Strike on Windshield (sec)",LIB,318.30,452.85 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,98985,140557 "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral Mixing (sec)",LIB,1.452,2.059 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS)",HIB,50.29,35.59 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,117411,165339 "FFmpeg - Encoder: libx265 - Scenario: Platform (FPS)",HIB,50.34,35.78 "GEGL - Operation: Scale (sec)",LIB,4.673,6.496 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,11871,16465 "NAS Parallel Benchmarks - Test / Class: BT.C (Mop/s)",HIB,20064.32,27810.56 "Numenta Anomaly Benchmark - Detector: KNN CAD (sec)",LIB,234.008,169.882 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,133.6827,97.1953 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,14115,19403 "FFmpeg - Encoder: libx265 - Scenario: Upload (FPS)",HIB,25.04,18.24 "GraphicsMagick - Operation: Sharpen (Iterations/min)",HIB,105,144 "RocksDB - Test: Read Random Write Random (Op/s)",HIB,1562778,1147524 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,0.34,0.25 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Super Fast (FPS)",HIB,127.06,93.63 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,1363.86,1840.78 "Aircrack-ng - (k/s)",HIB,39922.897,29616.492 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,68828,51438 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,60677,81072 "Selenium - Benchmark: ARES-6 - Browser: Google Chrome (ms)",LIB,7.14,9.51 "Helsing - Digit Range: 14 digit (sec)",LIB,541.428,719.827 "Appleseed - Scene: Emily (sec)",LIB,364.237952,483.935113 "LuxCoreRender - Scene: Danish Mood - Acceleration: CPU (M samples/sec)",HIB,1.30,0.98 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,27.44,20.73 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,51474,68004 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Very Fast (FPS)",HIB,97.55,73.95 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Very Fast (FPS)",HIB,83.44,63.58 "Appleseed - Scene: Material Tester (sec)",LIB,196.01835,256.337108 "simdjson - Throughput Test: DistinctUserID (GB/s)",HIB,8.38,6.41 "Java SciMark - Computational Test: Composite (Mflops)",HIB,4844.32,3708.79 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,9.2426,7.0929 "GNU Octave Benchmark - (sec)",LIB,6.542,8.522 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,21.91,16.83 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,7.2651,5.5906 "simdjson - Throughput Test: TopTweet (GB/s)",HIB,8.32,6.41 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,36.94,28.51 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Super Fast (FPS)",HIB,90.11,69.74 "Stockfish - Total Time (Nodes/s)",HIB,26151800,20429072 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,17.80,13.91 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast (FPS)",HIB,174.71,136.56 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,18.86,14.77 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast (FPS)",HIB,108.96,85.38 "OpenVKL - Benchmark: vklBenchmarkCPU ISPC (Items / Sec)",HIB,247,194 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,3.662,2.877 "GNU Radio - Test: FIR Filter (MiB/s)",HIB,1342.8,1055.3 "LuxCoreRender - Scene: LuxCore Benchmark - Acceleration: CPU (M samples/sec)",HIB,1.50,1.18 "John The Ripper - Test: Blowfish (Real C/S)",HIB,18649,14680 "LuxCoreRender - Scene: Rainbow Colors and Prism - Acceleration: CPU (M samples/sec)",HIB,9.22,7.30 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,7.2837,5.7692 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,13.696,10.861 "GEGL - Operation: Rotate 90 Degrees (sec)",LIB,34.338,43.270 "NAS Parallel Benchmarks - Test / Class: EP.C (Mop/s)",HIB,1286.44,1021.42 "Z3 Theorem Prover - SMT File: 2.smt2 (sec)",LIB,61.172,77.009 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,730.0072,582.4983 "LuaRadio - Test: FM Deemphasis Filter (MiB/s)",HIB,443.5,553.6 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,186.07,231.90 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,93.6795,75.3691 "SQLite Speedtest - Timed Time - Size 1,000 (sec)",LIB,53.752,43.329 "OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,3.03500,3.76482 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,22.72,18.33 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,11.2127,9.0716 "Zstd Compression - Compression Level: 19 - Decompression Speed (MB/s)",HIB,1315.0,1624.3 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,93.4649,75.7107 "simdjson - Throughput Test: PartialTweets (GB/s)",HIB,7.04,5.72 "Xmrig - Variant: KawPow - Hash Count: 1M (H/s)",HIB,3501.6,4307.4 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Faster (FPS)",HIB,28.923,23.535 "OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,3.04195,3.73350 "PyPerformance - Benchmark: regex_compile (Milliseconds)",LIB,71.0,87.1 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,467.19,572.73 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Fast (FPS)",HIB,13.639,11.144 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,46273667,56530333 "GNU Radio - Test: FM Deemphasis Filter (MiB/s)",HIB,1054.4,1288.0 "simdjson - Throughput Test: Kostya (GB/s)",HIB,5.07,4.16 "VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,4.121,3.391 "Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,67625667,55708667 "x265 - Video Input: Bosphorus 1080p (FPS)",HIB,66.90,55.15 "Selenium - Benchmark: Speedometer - Browser: Firefox (Runs/min)",HIB,307,254 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,363.54,438.91 "Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,92045667,111016667 "IndigoBench - Acceleration: CPU - Scene: Supercar (M samples/s)",HIB,4.162,3.451 "Selenium - Benchmark: Kraken - Browser: Firefox (ms)",LIB,511.8,617.0 "Xmrig - Variant: Monero - Hash Count: 1M (H/s)",HIB,3488.6,4197.4 "Chaos Group V-RAY - Mode: CPU (vsamples)",HIB,10793,8973 "VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,8.207,6.863 "RawTherapee - Total Benchmark Time (sec)",LIB,56.655,67.670 "Cryptsetup - PBKDF2-sha512 (Iterations/sec)",HIB,2611697,2186873 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,13.8005,11.6062 "Xmrig - Variant: CryptoNight-Heavy - Hash Count: 1M (H/s)",HIB,3519.1,4181.5 "Xmrig - Variant: CryptoNight-Femto UPX2 - Hash Count: 1M (H/s)",HIB,3507.2,4160.8 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,44.4350,37.5627 "Z3 Theorem Prover - SMT File: 1.smt2 (sec)",LIB,26.900,22.753 "Numenta Anomaly Benchmark - Detector: Relative Entropy (sec)",LIB,11.677,13.785 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,43.6309,36.9612 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,64.7477,55.012 "Inkscape - Operation: SVG Files To PNG (sec)",LIB,24.586,28.926 "Xmrig - Variant: GhostRider - Hash Count: 1M (H/s)",HIB,792.5,674.2 "Timed FFmpeg Compilation - Time To Compile (sec)",LIB,55.787,65.488 "SVT-VP9 - Tuning: VMAF Optimized - Input: Bosphorus 4K (FPS)",HIB,50.71,59.44 "PHPBench - PHP Benchmark Suite (Score)",HIB,1075014,1258273 "Helsing - Digit Range: 12 digit (sec)",LIB,5.152,6.017 "GraphicsMagick - Operation: Noise-Gaussian (Iterations/min)",HIB,266,229 "Selenium - Benchmark: WASM collisionDetection - Browser: Google Chrome (ms)",LIB,252.10,217.12 "Timed GDB GNU Debugger Compilation - Time To Compile (sec)",LIB,66.229,76.736 "Selenium - Benchmark: Kraken - Browser: Google Chrome (ms)",LIB,397.1,458.7 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,11.8247,10.2716 "Numenta Anomaly Benchmark - Detector: Bayesian Changepoint (sec)",LIB,25.366,29.201 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,415.639,361.549 "Java SciMark - Computational Test: Jacobi Successive Over-Relaxation (Mflops)",HIB,2225.42,2555.59 "Selenium - Benchmark: ARES-6 - Browser: Firefox (ms)",LIB,16.26,18.60 "Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,1435.522,1638.806 "Cryptsetup - Serpent-XTS 512b Encryption (MiB/s)",HIB,869.4,763.7 "Liquid-DSP - Threads: 16 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,563880000,495346429 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,112.580,127.613 "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,1.006,0.889 "GraphicsMagick - Operation: Swirl (Iterations/min)",HIB,457,406 "libjpeg-turbo tjbench - Test: Decompression Throughput (Megapixels/sec)",HIB,277.105389,246.934506 "Scikit-Learn - Benchmark: SGD Regression (sec)",LIB,96.584,108.316 "Unpacking The Linux Kernel - linux-5.19.tar.xz (sec)",LIB,4.650,5.206 "Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s)",HIB,1397.5,1562.8 "Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,33822000,30305667 "Selenium - Benchmark: Jetstream 2 - Browser: Firefox (Score)",HIB,200.975,180.143 "Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,181153333,201206667 "OpenSSL - Algorithm: RSA4096 (verify/s)",HIB,154053.0,138795.8 "GIMP - Test: unsharp-mask (sec)",LIB,14.489,16.067 "Numpy Benchmark - (Score)",HIB,657.86,593.50 "OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,120.101,108.370 "SVT-VP9 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K (FPS)",HIB,53.35,59.04 "Cryptsetup - Serpent-XTS 256b Encryption (MiB/s)",HIB,863.9,780.7 "GraphicsMagick - Operation: Enhanced (Iterations/min)",HIB,202,223 "Appleseed - Scene: Disney Material (sec)",LIB,210.079705,231.820691 "GraphicsMagick - Operation: HWB Color Space (Iterations/min)",HIB,892,809 "Selenium - Benchmark: Jetstream 2 - Browser: Google Chrome (Score)",HIB,308.820,280.927 "Selenium - Benchmark: PSPDFKit WASM - Browser: Google Chrome (Score)",LIB,2480,2723 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,503.207,458.372 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,145.91,160.08 "Scikit-Learn - Benchmark: Isolation Forest (sec)",LIB,223.474,244.332 "FLAC Audio Encoding - WAV To FLAC (sec)",LIB,13.425,14.678 "libavif avifenc - Encoder Speed: 0 (sec)",LIB,142.146,155.332 "ASTC Encoder - Preset: Exhaustive (MT/s)",HIB,0.6693,0.6125 "Darktable - Test: Boat - Acceleration: CPU-only (sec)",LIB,5.616,6.127 "LuxCoreRender - Scene: Orange Juice - Acceleration: CPU (M samples/sec)",HIB,3.10,2.85 "Selenium - Benchmark: WASM imageConvolute - Browser: Firefox (ms)",LIB,20.7,22.5 "Git - Time To Complete Common Git Commands (sec)",LIB,37.808,41.080 "RocksDB - Test: Random Read (Op/s)",HIB,54818670,59535959 "GNU Radio - Test: IIR Filter (MiB/s)",HIB,478.6,518.7 "Timed Godot Game Engine Compilation - Time To Compile (sec)",LIB,421.553,455.166 "GEGL - Operation: Crop (sec)",LIB,5.522,5.960 "GIMP - Test: auto-levels (sec)",LIB,12.973,13.998 "GNU Radio - Test: Signal Source (Cosine) (MiB/s)",HIB,4593.5,4261.6 "R Benchmark - (sec)",LIB,0.1368,0.1474 "x265 - Video Input: Bosphorus 4K (FPS)",HIB,13.37,14.40 "Timed PHP Compilation - Time To Compile (sec)",LIB,65.024,69.950 "Selenium - Benchmark: PSPDFKit WASM - Browser: Firefox (Score)",LIB,2381,2557 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,17273000,16084667 "LAME MP3 Encoding - WAV To MP3 (sec)",LIB,5.381,5.766 "Numenta Anomaly Benchmark - Detector: Earthgecko Skyline (sec)",LIB,89.049,95.302 "Selenium - Benchmark: Speedometer - Browser: Google Chrome (Runs/min)",HIB,354,331 "QuantLib - Configuration: Multi-Threaded (MFLOPS)",HIB,31965.3,29903.1 "PyBench - Total For Average Test Times (Milliseconds)",LIB,590,552 "libavif avifenc - Encoder Speed: 2 (sec)",LIB,66.556,70.939 "GEGL - Operation: Reflect (sec)",LIB,23.328,21.888 "Selenium - Benchmark: WASM imageConvolute - Browser: Google Chrome (ms)",LIB,19.10,20.34 "libavif avifenc - Encoder Speed: 6, Lossless (sec)",LIB,10.296,9.669 "QuantLib - Configuration: Single-Threaded (MFLOPS)",HIB,3967.4,4224.5 "Stargate Digital Audio Workstation - Sample Rate: 44100 - Buffer Size: 1024 (Render Ratio)",HIB,3.123552,3.319116 "GIMP - Test: rotate (sec)",LIB,12.405,13.181 "LuxCoreRender - Scene: DLSC - Acceleration: CPU (M samples/sec)",HIB,1.89,1.78 "Cryptsetup - Serpent-XTS 512b Decryption (MiB/s)",HIB,861.3,812.6 "libavif avifenc - Encoder Speed: 6 (sec)",LIB,6.726,6.358 "GraphicsMagick - Operation: Resizing (Iterations/min)",HIB,853,808 "OCRMyPDF - Processing 60 Page PDF Document (sec)",LIB,11.450,10.853 "Node.js V8 Web Tooling Benchmark - (runs/s)",HIB,17.66,16.74 "Zstd Compression - Compression Level: 12 - Decompression Speed (MB/s)",HIB,1831.7,1931.8 "Cryptsetup - Serpent-XTS 256b Decryption (MiB/s)",HIB,859.2,814.7 "Timed Wasmer Compilation - Time To Compile (sec)",LIB,52.318,55.107 "Numenta Anomaly Benchmark - Detector: Contextual Anomaly Detector OSE (sec)",LIB,35.228,33.471 "C-Ray - Total Time - 4K, 16 Rays Per Pixel (sec)",LIB,63.118,60.123 "Cryptsetup - PBKDF2-whirlpool (Iterations/sec)",HIB,895206,939335 "eSpeak-NG Speech Engine - Text-To-Speech Synthesis (sec)",LIB,22.426,21.373 "Perl Benchmarks - Test: Pod2html (sec)",LIB,0.07594256,0.07957429 "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,77484,81100 "PyPerformance - Benchmark: raytrace (Milliseconds)",LIB,175,183 "Cryptsetup - Twofish-XTS 512b Decryption (MiB/s)",HIB,553.3,529.3 "WebP2 Image Encode - Encode Settings: Quality 100, Compression Effort 5 (MP/s)",HIB,3.78,3.95 "Zstd Compression - Compression Level: 19, Long Mode - Compression Speed (MB/s)",HIB,6.32,6.60 "Perl Benchmarks - Test: Interpreter (sec)",LIB,0.00182758,0.00175259 "OpenSSL - Algorithm: SHA512 (byte/s)",HIB,4410692773,4231603820 "OpenSCAD - Render: Leonardo Phone Case Slim (sec)",LIB,16.647,17.338 "LZ4 Compression - Compression Level: 3 - Compression Speed (MB/s)",HIB,70.20,67.52 "Selenium - Benchmark: WASM collisionDetection - Browser: Firefox (ms)",LIB,286.3,275.4 "Cryptsetup - Twofish-XTS 256b Decryption (MiB/s)",HIB,553.3,533.2 "PyPerformance - Benchmark: crypto_pyaes (Milliseconds)",LIB,45.5,47.2 "Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,339970000,327760000 "libavif avifenc - Encoder Speed: 10, Lossless (sec)",LIB,4.971,5.148 "Cryptsetup - Twofish-XTS 256b Encryption (MiB/s)",HIB,546.1,528.0 "ASTC Encoder - Preset: Fast (MT/s)",HIB,161.0215,155.7553 "Cryptsetup - Twofish-XTS 512b Encryption (MiB/s)",HIB,548.7,531.3 "Selenium - Benchmark: Octane - Browser: Google Chrome (Geometric Mean)",HIB,87357,84689 "WireGuard + Linux Networking Stack Stress Test - (sec)",LIB,183.651,178.176 "GNU Radio - Test: Five Back to Back FIR Filters (MiB/s)",HIB,1418.7,1379.1 "OpenSCAD - Render: Mini-ITX Case (sec)",LIB,25.304,26.020 "LuaRadio - Test: Complex Phase (MiB/s)",HIB,1084.3,1054.9 "GEGL - Operation: Antialias (sec)",LIB,27.289,26.566 "Zstd Compression - Compression Level: 19 - Compression Speed (MB/s)",HIB,11.5,11.8 "Numenta Anomaly Benchmark - Detector: Windowed Gaussian (sec)",LIB,6.954,7.132 "ASTC Encoder - Preset: Thorough (MT/s)",HIB,7.1284,7.3020 "WebP2 Image Encode - Encode Settings: Default (MP/s)",HIB,8.42,8.22 "Stargate Digital Audio Workstation - Sample Rate: 480000 - Buffer Size: 1024 (Render Ratio)",HIB,3.090316,3.163316 "OpenSCAD - Render: Pistol (sec)",LIB,54.296,55.426 "Zstd Compression - Compression Level: 8 - Decompression Speed (MB/s)",HIB,1896.5,1861.9 "PyPerformance - Benchmark: json_loads (Milliseconds)",LIB,11.8,12.0 "LZ4 Compression - Compression Level: 9 - Compression Speed (MB/s)",HIB,68.02,66.98 "GEGL - Operation: Color Enhance (sec)",LIB,39.451,38.874 "RNNoise - (sec)",LIB,15.139,14.932 "Xmrig - Variant: Wownero - Hash Count: 1M (H/s)",HIB,5210.9,5271.5 "OpenSSL - Algorithm: SHA256 (byte/s)",HIB,13561693343,13411595497 "Unpacking Firefox - Extracting: firefox-84.0.source.tar.xz (sec)",LIB,14.071,14.218 "Selenium - Benchmark: Octane - Browser: Firefox (Geometric Mean)",HIB,50202,49741 "ASTC Encoder - Preset: Medium (MT/s)",HIB,57.2614,56.7866 "Darktable - Test: Masskrug - Acceleration: CPU-only (sec)",LIB,3.563,3.538 "OpenSCAD - Render: Projector Mount Swivel (sec)",LIB,4.238,4.267 "simdjson - Throughput Test: LargeRandom (GB/s)",HIB,1.57,1.56 "Stargate Digital Audio Workstation - Sample Rate: 192000 - Buffer Size: 1024 (Render Ratio)",HIB,1.506766,1.516141 "OpenSCAD - Render: Retro Car (sec)",LIB,2.424,2.436 "GEGL - Operation: Cartoon (sec)",LIB,67.437,67.128 "Stargate Digital Audio Workstation - Sample Rate: 96000 - Buffer Size: 1024 (Render Ratio)",HIB,2.282466,2.291449 "Scikit-Learn - Benchmark: MNIST Dataset (sec)",LIB,55.628,55.810 "GEGL - Operation: Tile Glass (sec)",LIB,21.840,21.775 "Darktable - Test: Server Room - Acceleration: CPU-only (sec)",LIB,2.761,2.769 "GEGL - Operation: Wavelet Blur (sec)",LIB,43.841,43.929 "Zstd Compression - Compression Level: 8, Long Mode - Decompression Speed (MB/s)",HIB,1872.8,1870.6 "WebP2 Image Encode - Encode Settings: Quality 100, Lossless Compression (MP/s)",HIB,0.01,0.01 "WebP2 Image Encode - Encode Settings: Quality 95, Compression Effort 7 (MP/s)",HIB,0.06,0.06 "WebP2 Image Encode - Encode Settings: Quality 75, Compression Effort 7 (MP/s)",HIB,0.13,0.13 "GNU Octave Benchmark - CPU Power Consumption Monitor (Watts)",LIB,,15.65 "OCRMyPDF - CPU Power Consumption Monitor (Watts)",LIB,,34.17 "GIMP - CPU Power Consumption Monitor (Watts)",LIB,,23.83 "GIMP - CPU Power Consumption Monitor (Watts)",LIB,,20.57 "GIMP - CPU Power Consumption Monitor (Watts)",LIB,,17.6 "GIMP - CPU Power Consumption Monitor (Watts)",LIB,,29.67 "Darktable - CPU Power Consumption Monitor (Watts)",LIB,,20.93 "Darktable - CPU Power Consumption Monitor (Watts)",LIB,,10.84 "Darktable - CPU Power Consumption Monitor (Watts)",LIB,,22.91 "Darktable - CPU Power Consumption Monitor (Watts)",LIB,,33.12 "LeelaChessZero - CPU Power Consumption Monitor (Watts)",LIB,,31.67 "LeelaChessZero - CPU Power Consumption Monitor (Watts)",LIB,,31.7 "OpenSCAD - CPU Power Consumption Monitor (Watts)",LIB,15.51,18.62 "OpenSCAD - CPU Power Consumption Monitor (Watts)",LIB,12.4,13.26 "OpenSCAD - CPU Power Consumption Monitor (Watts)",LIB,16.16,19.71 "OpenSCAD - CPU Power Consumption Monitor (Watts)",LIB,10.79,9.9 "OpenSCAD - CPU Power Consumption Monitor (Watts)",LIB,16.53,20.32 "GNU Octave Benchmark - CPU Power Consumption Monitor (Watts)",LIB,14.68, "OCRMyPDF - CPU Power Consumption Monitor (Watts)",LIB,27.97, "Inkscape - CPU Power Consumption Monitor (Watts)",LIB,15.42,14.91 "GEGL - CPU Power Consumption Monitor (Watts)",LIB,19.82,28.74 "GEGL - CPU Power Consumption Monitor (Watts)",LIB,16.79,20.54 "GEGL - CPU Power Consumption Monitor (Watts)",LIB,17.38,22.22 "GEGL - CPU Power Consumption Monitor (Watts)",LIB,17.68,22.15 "GEGL - CPU Power Consumption Monitor (Watts)",LIB,17.84,22.9 "GEGL - CPU Power Consumption Monitor (Watts)",LIB,16.59,19.72 "GEGL - CPU Power Consumption Monitor (Watts)",LIB,18.89,24.52 "GEGL - CPU Power Consumption Monitor (Watts)",LIB,19.99,22.74 "GEGL - CPU Power Consumption Monitor (Watts)",LIB,17.31,18.46 "R Benchmark - CPU Power Consumption Monitor (Watts)",LIB,17.89,22.95 "GNU Radio - CPU Power Consumption Monitor (Watts)",LIB,21.11,25.71 "LuaRadio - CPU Power Consumption Monitor (Watts)",LIB,22.21,21.12 "Unpacking Firefox - CPU Power Consumption Monitor (Watts)",LIB,15.69,21.81 "Git - CPU Power Consumption Monitor (Watts)",LIB,15.37,20.98 "PHPBench - CPU Power Consumption Monitor (Watts)",LIB,13.35,18.08 "PyPerformance - CPU Power Consumption Monitor (Watts)",LIB,15.42,6.45 "PyPerformance - CPU Power Consumption Monitor (Watts)",LIB,15,20.65 "PyPerformance - CPU Power Consumption Monitor (Watts)",LIB,14.91,20.29 "PyPerformance - CPU Power Consumption Monitor (Watts)",LIB,13.98,18.88 "PyPerformance - CPU Power Consumption Monitor (Watts)",LIB,14.7,18.98 "PyBench - CPU Power Consumption Monitor (Watts)",LIB,13.01,17.31 "ScyllaDB - CPU Power Consumption Monitor (Watts)",LIB,26.61,29.9 "ScyllaDB - Test: Writes (Op/s)",HIB,65439,68321 "RocksDB - CPU Power Consumption Monitor (Watts)",LIB,32.09,34.6 "RocksDB - CPU Power Consumption Monitor (Watts)",LIB,32.09,33.48 "RocksDB - Test: Read While Writing (Op/s)",HIB,1774161,1604229 "RocksDB - CPU Power Consumption Monitor (Watts)",LIB,32.09,33.38 "RocksDB - CPU Power Consumption Monitor (Watts)",LIB,31.93,33.77 "IndigoBench - CPU Power Consumption Monitor (Watts)",LIB,31.81,32.88 "IndigoBench - CPU Power Consumption Monitor (Watts)",LIB,31.83,33.52 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,31.91,33.64 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,31.9,32.98 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,31.92,32.93 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,32,32.98 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,31.79,33.52 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,32.02,33.82 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,32.02,33.84 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,31.62,33.21 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,31.85,32.34 "TensorFlow Lite - CPU Power Consumption Monitor (Watts)",LIB,31.94,33.67 "TensorFlow Lite - Model: Inception ResNet V2 (us)",LIB,30731.6,125552 "TensorFlow Lite - CPU Power Consumption Monitor (Watts)",LIB,32,35.09 "TensorFlow Lite - CPU Power Consumption Monitor (Watts)",LIB,31.71,35.21 "TensorFlow Lite - CPU Power Consumption Monitor (Watts)",LIB,31.23,33.06 "TensorFlow Lite - CPU Power Consumption Monitor (Watts)",LIB,29.45,33.84 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,32.33,33.37 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,31.66,34.12 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,32.49,33.29 "PyTorch - Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l (batches/sec)",HIB,8.49,3.77 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,32.46,33.66 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,31.83,34.74 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,32.26,34.03 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,32.27,33.94 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,31.44,33.96 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,31.33,34.78 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,31.18,32.62 "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-152 (batches/sec)",HIB,20.14,9.52 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,29.01,34.66 "Whisper.cpp - CPU Power Consumption Monitor (Watts)",LIB,32.42,33.98 "Whisper.cpp - CPU Power Consumption Monitor (Watts)",LIB,32.35,33.96 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,28.55,34.04 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,28.81,34.15 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,29.54,34.92 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,29.65,34.95 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,30.21,35.26 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,25.02,30.91 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,30.18,35.46 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,30.51,35.36 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,30.35,35.44 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,28.5,34.03 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,28.68,33.74 "RawTherapee - CPU Power Consumption Monitor (Watts)",LIB,28.54,31.17 "GIMP - CPU Power Consumption Monitor (Watts)",LIB,17.14, "GIMP - CPU Power Consumption Monitor (Watts)",LIB,15.83, "GIMP - CPU Power Consumption Monitor (Watts)",LIB,13.83, "GIMP - CPU Power Consumption Monitor (Watts)",LIB,19.21, "Darktable - CPU Power Consumption Monitor (Watts)",LIB,18.32, "Darktable - CPU Power Consumption Monitor (Watts)",LIB,8.68, "Darktable - Test: Server Rack - Acceleration: CPU-only (sec)",LIB,0.349,0.409 "Darktable - CPU Power Consumption Monitor (Watts)",LIB,21.26, "Darktable - CPU Power Consumption Monitor (Watts)",LIB,24.97, "SQLite Speedtest - CPU Power Consumption Monitor (Watts)",LIB,15.67,23.11 "OpenCV - CPU Power Consumption Monitor (Watts)",LIB,19.07,27.17 "Scikit-Learn - CPU Power Consumption Monitor (Watts)",LIB,28.36,34.06 "Scikit-Learn - CPU Power Consumption Monitor (Watts)",LIB,29.95,32.65 "Scikit-Learn - Benchmark: Hist Gradient Boosting Adult (sec)",LIB,49.653,206.641 "Scikit-Learn - CPU Power Consumption Monitor (Watts)",LIB,31.23,33.59 "Scikit-Learn - Benchmark: Hist Gradient Boosting (sec)",LIB,71.122,208.954 "Scikit-Learn - CPU Power Consumption Monitor (Watts)",LIB,32.67,29.88 "Scikit-Learn - CPU Power Consumption Monitor (Watts)",LIB,17.56,22.68 "Scikit-Learn - CPU Power Consumption Monitor (Watts)",LIB,20.58,26.06 "Scikit-Learn - CPU Power Consumption Monitor (Watts)",LIB,16.04,21.99 "PyHPC Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,18.69,23.72 "PyHPC Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,19.85,22.71 "Numenta Anomaly Benchmark - CPU Power Consumption Monitor (Watts)",LIB,23.55,32.5 "Numenta Anomaly Benchmark - CPU Power Consumption Monitor (Watts)",LIB,29.84,33.79 "Numenta Anomaly Benchmark - CPU Power Consumption Monitor (Watts)",LIB,32.06,32.53 "Numenta Anomaly Benchmark - CPU Power Consumption Monitor (Watts)",LIB,27.55,34.88 "Numenta Anomaly Benchmark - CPU Power Consumption Monitor (Watts)",LIB,28.64,33.98 "Numenta Anomaly Benchmark - CPU Power Consumption Monitor (Watts)",LIB,32.97,34.88 "NCNN - CPU Power Consumption Monitor (Watts)",LIB,31.66,29.12 "NCNN - Target: CPU - Model: FastestDet (ms)",LIB,2.92,5.81 "NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,6.05,18.40 "NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,7.87,12.73 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,17.21,28.65 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,13.20,28.05 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,5.73,8.16 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,5.86,10.69 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,41.12,53.52 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,8.27,15.87 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,0.79,1.90 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,4.00,9.67 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,2.56,7.08 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,2.29,5.66 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,2.68,6.83 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,2.99,6.55 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,10.54,19.54 "RNNoise - CPU Power Consumption Monitor (Watts)",LIB,14.54,16.54 "Stargate Digital Audio Workstation - CPU Power Consumption Monitor (Watts)",LIB,31.37,34.94 "Stargate Digital Audio Workstation - CPU Power Consumption Monitor (Watts)",LIB,31.61,34.24 "Stargate Digital Audio Workstation - CPU Power Consumption Monitor (Watts)",LIB,31.21,35.05 "Stargate Digital Audio Workstation - CPU Power Consumption Monitor (Watts)",LIB,30.71,36.22 "libjpeg-turbo tjbench - CPU Power Consumption Monitor (Watts)",LIB,14.83,19.13 "libavif avifenc - CPU Power Consumption Monitor (Watts)",LIB,19.42,24.51 "libavif avifenc - CPU Power Consumption Monitor (Watts)",LIB,25.72,34.07 "libavif avifenc - CPU Power Consumption Monitor (Watts)",LIB,26.03,34.81 "libavif avifenc - CPU Power Consumption Monitor (Watts)",LIB,28.31,32.58 "libavif avifenc - CPU Power Consumption Monitor (Watts)",LIB,29.71,32.21 "ASTC Encoder - CPU Power Consumption Monitor (Watts)",LIB,31.58,34.03 "ASTC Encoder - CPU Power Consumption Monitor (Watts)",LIB,30.73,35.57 "ASTC Encoder - CPU Power Consumption Monitor (Watts)",LIB,26.84,35.63 "ASTC Encoder - CPU Power Consumption Monitor (Watts)",LIB,29.69,37.34 "Cryptsetup - CPU Power Consumption Monitor (Watts)",LIB,18.48,19.5 "ASKAP - CPU Power Consumption Monitor (Watts)",LIB,19.97,24.69 "ASKAP - Test: Hogbom Clean OpenMP (Iterations/sec)",HIB,239.653,393.853 "ASKAP - CPU Power Consumption Monitor (Watts)",LIB,29.95,32.87 "ASKAP - Test: tConvolve MPI - Gridding (Mpix/sec)",HIB,2806.45,1494.15 "ASKAP - CPU Power Consumption Monitor (Watts)",LIB,29.3,30.88 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,31.26,36.5 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,31.24,36.45 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,28.63,35.6 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,18.64,29.6 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,31.41,35.32 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,13.45,18.79 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,30.93,35.68 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,24.7,36.3 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,16.56,29.54 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,12.34,18.36 "Node.js V8 Web Tooling Benchmark - CPU Power Consumption Monitor (Watts)",LIB,19.57,25.16 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,32.72,33.44 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,32.65,33.88 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,32.69,33.94 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,32.67,33.65 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,31.93,34.43 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,32.71,34.36 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,32.62,35.33 "Aircrack-ng - CPU Power Consumption Monitor (Watts)",LIB,31.02,38.75 "Perl Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,13.57,6.63 "Perl Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,15.57,20.58 "Helsing - CPU Power Consumption Monitor (Watts)",LIB,32.89,34.64 "Helsing - CPU Power Consumption Monitor (Watts)",LIB,26.44,35.35 "eSpeak-NG Speech Engine - CPU Power Consumption Monitor (Watts)",LIB,14.23,17.45 "LAME MP3 Encoding - CPU Power Consumption Monitor (Watts)",LIB,11.24,13.14 "FLAC Audio Encoding - CPU Power Consumption Monitor (Watts)",LIB,13.85,16.75 "Timed Wasmer Compilation - CPU Power Consumption Monitor (Watts)",LIB,30.28,36.43 "Numpy Benchmark - CPU Power Consumption Monitor (Watts)",LIB,16.28,21.55 "Primesieve - CPU Power Consumption Monitor (Watts)",LIB,30.33,33.7 "C-Ray - CPU Power Consumption Monitor (Watts)",LIB,31.98,34.1 "Timed PHP Compilation - CPU Power Consumption Monitor (Watts)",LIB,26.88,32.46 "Timed Linux Kernel Compilation - CPU Power Consumption Monitor (Watts)",LIB,30.08,32.62 "Timed Linux Kernel Compilation - CPU Power Consumption Monitor (Watts)",LIB,29.93,32.72 "Timed Godot Game Engine Compilation - CPU Power Consumption Monitor (Watts)",LIB,31.67,31.89 "Timed GDB GNU Debugger Compilation - CPU Power Consumption Monitor (Watts)",LIB,28.93,30.84 "Timed FFmpeg Compilation - CPU Power Consumption Monitor (Watts)",LIB,30.28,32.03 "asmFish - CPU Power Consumption Monitor (Watts)",LIB,32.55,32.38 "asmFish - 1024 Hash Memory, 26 Depth (Nodes/s)",HIB,32605313,25109174 "Stockfish - CPU Power Consumption Monitor (Watts)",LIB,32.32,32.94 "Chaos Group V-RAY - CPU Power Consumption Monitor (Watts)",LIB,29.51,33.07 "Appleseed - CPU Power Consumption Monitor (Watts)",LIB,32.82,33.44 "Appleseed - CPU Power Consumption Monitor (Watts)",LIB,32.75,33.61 "Appleseed - CPU Power Consumption Monitor (Watts)",LIB,32.8,32.12 "Blender - CPU Power Consumption Monitor (Watts)",LIB,32.85,32.59 "Blender - CPU Power Consumption Monitor (Watts)",LIB,32.93,32.09 "Blender - CPU Power Consumption Monitor (Watts)",LIB,32.61,32.54 "Blender - CPU Power Consumption Monitor (Watts)",LIB,32.8,32.55 "Blender - CPU Power Consumption Monitor (Watts)",LIB,32.51,32.64 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,31.74,32.44 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,31.18,32.03 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,31.14,31.98 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,32.66,33.26 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,32.67,33.16 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,32.52,32.86 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,30.87,32.62 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,29.33,32.42 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,30.5,32.46 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,28.69,33.24 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,29.83,32.41 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,29.49,33.29 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,32.4,32.41 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,31.86,32.29 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,32.29,32.44 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,31.64,32.59 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,30.22,33.53 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,28.65,33.66 "OpenVKL - CPU Power Consumption Monitor (Watts)",LIB,32.21,31.96 "Intel Open Image Denoise - CPU Power Consumption Monitor (Watts)",LIB,32.29,33.01 "x265 - CPU Power Consumption Monitor (Watts)",LIB,28.19,34.15 "x265 - CPU Power Consumption Monitor (Watts)",LIB,30.97,33.09 "VVenC - CPU Power Consumption Monitor (Watts)",LIB,30.13,33.54 "VVenC - CPU Power Consumption Monitor (Watts)",LIB,31.52,33.85 "VVenC - CPU Power Consumption Monitor (Watts)",LIB,31.81,34 "VVenC - CPU Power Consumption Monitor (Watts)",LIB,32.15,32.9 "uvg266 - CPU Power Consumption Monitor (Watts)",LIB,26.64,34.06 "uvg266 - CPU Power Consumption Monitor (Watts)",LIB,27.41,34.33 "uvg266 - CPU Power Consumption Monitor (Watts)",LIB,27.62,33.65 "uvg266 - CPU Power Consumption Monitor (Watts)",LIB,30.93,33.08 "uvg266 - CPU Power Consumption Monitor (Watts)",LIB,31.25,32.66 "uvg266 - CPU Power Consumption Monitor (Watts)",LIB,31.18,32.85 "SVT-VP9 - CPU Power Consumption Monitor (Watts)",LIB,27.9,32.68 "SVT-VP9 - Tuning: Visual Quality Optimized - Input: Bosphorus 4K (FPS)",HIB,44.31,44.43 "SVT-VP9 - CPU Power Consumption Monitor (Watts)",LIB,27.64,33.36 "SVT-VP9 - CPU Power Consumption Monitor (Watts)",LIB,28,34.53 "SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,14.32,15.93 "SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,15.85,18.67 "SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,26.14,33.36 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,95.341,75.696 "SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,28.56,34.68 "SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,25.56,32.85 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,87.916,92.870 "SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,25.42,30.01 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,91.523,85.585 "SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,29.69,32.21 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,29.334,21.514 "SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,30.99,33.14 "Kvazaar - CPU Power Consumption Monitor (Watts)",LIB,24.77,32.67 "Kvazaar - CPU Power Consumption Monitor (Watts)",LIB,26.05,33.52 "Kvazaar - CPU Power Consumption Monitor (Watts)",LIB,26.85,34.14 "Kvazaar - CPU Power Consumption Monitor (Watts)",LIB,30.24,32.72 "Kvazaar - CPU Power Consumption Monitor (Watts)",LIB,30.51,32.5 "Kvazaar - CPU Power Consumption Monitor (Watts)",LIB,31.07,32.24 "Embree - CPU Power Consumption Monitor (Watts)",LIB,30.5,32.66 "Embree - CPU Power Consumption Monitor (Watts)",LIB,31.71,32.5 "Embree - CPU Power Consumption Monitor (Watts)",LIB,32.07,33.21 "GraphicsMagick - CPU Power Consumption Monitor (Watts)",LIB,25.8,30.66 "GraphicsMagick - CPU Power Consumption Monitor (Watts)",LIB,31.91,35.54 "GraphicsMagick - CPU Power Consumption Monitor (Watts)",LIB,32.11,35.21 "GraphicsMagick - CPU Power Consumption Monitor (Watts)",LIB,31.87,35.58 "GraphicsMagick - CPU Power Consumption Monitor (Watts)",LIB,31.95,35.92 "GraphicsMagick - CPU Power Consumption Monitor (Watts)",LIB,15.53,23.28 "GraphicsMagick - CPU Power Consumption Monitor (Watts)",LIB,32.05,35.12 "LuxCoreRender - CPU Power Consumption Monitor (Watts)",LIB,30.18,33.5 "LuxCoreRender - CPU Power Consumption Monitor (Watts)",LIB,31.85,33.72 "LuxCoreRender - CPU Power Consumption Monitor (Watts)",LIB,31.77,33.47 "LuxCoreRender - CPU Power Consumption Monitor (Watts)",LIB,31.86,33.12 "LuxCoreRender - CPU Power Consumption Monitor (Watts)",LIB,31.96,33.4 "John The Ripper - CPU Power Consumption Monitor (Watts)",LIB,30.97,33.91 "John The Ripper - Test: bcrypt (Real C/S)",HIB,18631,14667 "WebP2 Image Encode - CPU Power Consumption Monitor (Watts)",LIB,32.46,32.63 "WebP2 Image Encode - CPU Power Consumption Monitor (Watts)",LIB,27.06,34.17 "WebP2 Image Encode - CPU Power Consumption Monitor (Watts)",LIB,32.67,33.47 "WebP2 Image Encode - CPU Power Consumption Monitor (Watts)",LIB,32.49,35.07 "WebP2 Image Encode - CPU Power Consumption Monitor (Watts)",LIB,21.48,25.68 "Zstd Compression - CPU Power Consumption Monitor (Watts)",LIB,17.99,27.31 "Zstd Compression - CPU Power Consumption Monitor (Watts)",LIB,27.07,34.21 "Zstd Compression - CPU Power Consumption Monitor (Watts)",LIB,22.11,30.05 "Zstd Compression - CPU Power Consumption Monitor (Watts)",LIB,25.31,33.34 "Zstd Compression - CPU Power Consumption Monitor (Watts)",LIB,26.6,33.56 "7-Zip Compression - CPU Power Consumption Monitor (Watts)",LIB,30.04,35.87 "LZ4 Compression - CPU Power Consumption Monitor (Watts)",LIB,16.6,20.82 "LZ4 Compression - CPU Power Consumption Monitor (Watts)",LIB,16.74,19.86 "LZ4 Compression - CPU Power Consumption Monitor (Watts)",LIB,17.4,18.72 "Java SciMark - Computational Test: Sparse Matrix Multiply (Mflops)",HIB,3760.21,3696.16 "Java SciMark - CPU Power Consumption Monitor (Watts)",LIB,15.6,18.41 "Xmrig - CPU Power Consumption Monitor (Watts)",LIB,30.42,31.54 "Xmrig - CPU Power Consumption Monitor (Watts)",LIB,31.43,31.66 "Xmrig - CPU Power Consumption Monitor (Watts)",LIB,32.17,32.94 "Xmrig - CPU Power Consumption Monitor (Watts)",LIB,29.27,32.97 "Xmrig - CPU Power Consumption Monitor (Watts)",LIB,30.19,32.34 "Xmrig - CPU Power Consumption Monitor (Watts)",LIB,31.35,34.27 "simdjson - CPU Power Consumption Monitor (Watts)",LIB,17.15,20.02 "simdjson - CPU Power Consumption Monitor (Watts)",LIB,16.84,19.61 "simdjson - CPU Power Consumption Monitor (Watts)",LIB,17.2,23.19 "simdjson - CPU Power Consumption Monitor (Watts)",LIB,17.23,20.83 "simdjson - CPU Power Consumption Monitor (Watts)",LIB,18.2,22.27 "FFmpeg - CPU Power Consumption Monitor (Watts)",LIB,31.93,33.49 "FFmpeg - CPU Power Consumption Monitor (Watts)",LIB,31.96,33.7 "FFmpeg - CPU Power Consumption Monitor (Watts)",LIB,28.82,32.54 "FFmpeg - CPU Power Consumption Monitor (Watts)",LIB,28.83,28.61 "Z3 Theorem Prover - CPU Power Consumption Monitor (Watts)",LIB,15.28,21.73 "Z3 Theorem Prover - CPU Power Consumption Monitor (Watts)",LIB,13.8,20.92 "OpenRadioss - CPU Power Consumption Monitor (Watts)",LIB,32.44,32.64 "OpenRadioss - CPU Power Consumption Monitor (Watts)",LIB,32.68,32.79 "OpenRadioss - CPU Power Consumption Monitor (Watts)",LIB,31.83,32.94 "OpenRadioss - CPU Power Consumption Monitor (Watts)",LIB,32.44,33.28 "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,27.32,36.31 "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,26.2,34.21 "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,32.05,33.25 "GROMACS - CPU Power Consumption Monitor (Watts)",LIB,32.33,34.93 "QuantLib - CPU Power Consumption Monitor (Watts)",LIB,14.22,16.28 "QuantLib - CPU Power Consumption Monitor (Watts)",LIB,31.05,35.58 "WireGuard + Linux Networking Stack Stress Test - CPU Power Consumption Monitor (Watts)",LIB,31.55,35.38 "Unpacking The Linux Kernel - CPU Power Consumption Monitor (Watts)",LIB,12.89,15.49 "Selenium - CPU Power Consumption Monitor (Watts)",LIB,9.73,10.26 "Selenium - CPU Power Consumption Monitor (Watts)",LIB,7.29,5.53 "Selenium - CPU Power Consumption Monitor (Watts)",LIB,10.89,11.7 "Selenium - CPU Power Consumption Monitor (Watts)",LIB,8.87,7.68 "Selenium - CPU Power Consumption Monitor (Watts)",LIB,13.61,11.81 "Selenium - CPU Power Consumption Monitor (Watts)",LIB,13.03,12.41 "Selenium - CPU Power Consumption Monitor (Watts)",LIB,4.47,5.73 "Selenium - CPU Power Consumption Monitor (Watts)",LIB,13.14,12.41 "Selenium - CPU Power Consumption Monitor (Watts)",LIB,14.06,17.24 "Selenium - CPU Power Consumption Monitor (Watts)",LIB,10.15,10.11 "Selenium - CPU Power Consumption Monitor (Watts)",LIB,12.71,15.14 "Selenium - CPU Power Consumption Monitor (Watts)",LIB,12.77,11.99 "Selenium - CPU Power Consumption Monitor (Watts)",LIB,17.05,22.61 "Selenium - CPU Power Consumption Monitor (Watts)",LIB,13.67,17.12 "Selenium - CPU Power Consumption Monitor (Watts)",LIB,10.62,10.44 "Selenium - CPU Power Consumption Monitor (Watts)",LIB,14.56,17.87