Core i9 13900K Linux Distros

Intel Core i9-13900K testing with a ASUS PRIME Z790-P WIFI (0602 BIOS) and AMD Radeon RX 6800 XT 16GB on Clear Linux OS 37600 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 2211066-NE-DISTROS7610
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AV1 2 Tests
C++ Boost Tests 4 Tests
Timed Code Compilation 4 Tests
C/C++ Compiler Tests 8 Tests
CPU Massive 23 Tests
Creator Workloads 19 Tests
Cryptocurrency Benchmarks, CPU Mining Tests 3 Tests
Cryptography 4 Tests
Database Test Suite 4 Tests
Desktop Graphics 2 Tests
Encoding 6 Tests
Finance 2 Tests
Fortran Tests 4 Tests
Game Development 3 Tests
HPC - High Performance Computing 17 Tests
Imaging 4 Tests
Java 3 Tests
Common Kernel Benchmarks 4 Tests
Machine Learning 6 Tests
Molecular Dynamics 4 Tests
MPI Benchmarks 3 Tests
Multi-Core 25 Tests
Node.js + NPM Tests 3 Tests
NVIDIA GPU Compute 6 Tests
Intel oneAPI 5 Tests
OpenMPI Tests 8 Tests
Programmer / Developer System Benchmarks 8 Tests
Python 3 Tests
Renderers 5 Tests
Scientific Computing 4 Tests
Software Defined Radio 2 Tests
Server 9 Tests
Server CPU Tests 19 Tests
Single-Threaded 6 Tests
Video Encoding 5 Tests
Common Workstation Benchmarks 2 Tests

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Ubuntu 22.10
November 02 2022
  1 Day, 1 Hour, 49 Minutes
Clear Linux
November 05 2022
  14 Hours, 3 Minutes
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  19 Hours, 56 Minutes
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Core i9 13900K Linux Distros Intel Core i9-13900K testing with a ASUS PRIME Z790-P WIFI (0602 BIOS) and AMD Radeon RX 6800 XT 16GB on Clear Linux OS 37600 via the Phoronix Test Suite. ,,"Ubuntu 22.10","Clear Linux" Processor,,Intel Core i9-13900K (24 Cores / 32 Threads),Intel Core i9-13900K (24 Cores / 32 Threads) Motherboard,,ASUS PRIME Z790-P WIFI (0602 BIOS),ASUS PRIME Z790-P WIFI (0602 BIOS) Chipset,,Intel Device 7a27,Intel Device 7a27 Memory,,32GB,32GB Disk,,1000GB Western Digital WDS100T1X0E-00AFY0,1000GB Western Digital WDS100T1X0E-00AFY0 Graphics,,AMD Radeon RX 6800 XT 16GB (2575/1000MHz),AMD Radeon RX 6800 XT 16GB (2575/1000MHz) Audio,,Realtek ALC897,Realtek ALC897 Monitor,,ASUS VP28U,ASUS VP28U Network,,Realtek RTL8125 2.5GbE + Intel Device 7a70,Realtek RTL8125 2.5GbE + Intel Device 7a70 OS,,Ubuntu 22.10,Clear Linux OS 37600 Kernel,,5.19.0-23-generic (x86_64),6.0.7-1207.native (x86_64) Desktop,,GNOME Shell 43.0,GNOME Shell 43.0 Display Server,,X Server + Wayland,X Server 1.21.1.4 OpenGL,,4.6 Mesa 22.2.1 (LLVM 15.0.2 DRM 3.47),4.6 Mesa 22.3.0-devel (LLVM 14.0.6 DRM 3.48) Vulkan,,1.3.224,1.3.230 Compiler,,GCC 12.2.0,GCC 12.2.1 20221031 releases/gcc-12.2.0-182-gfaac1fccd7 + Clang 14.0.6 + LLVM 14.0.6 File-System,,ext4,ext4 Screen Resolution,,3840x2160,3840x2160 ,,"Ubuntu 22.10","Clear Linux" "Warsow - Resolution: 3840 x 2160 (FPS)",HIB,951.3, "Java Gradle Build - Gradle Build: Reactor (sec)",LIB,142.798, "Unvanquished - Resolution: 3840 x 2160 - Effects Quality: Ultra (FPS)",HIB,664.7,722.6 "Warsow - Resolution: 1920 x 1080 (FPS)",HIB,965.8,953.3 "Unvanquished - Resolution: 1920 x 1080 - Effects Quality: Ultra (FPS)",HIB,671.3,713.0 "Unvanquished - Resolution: 3840 x 2160 - Effects Quality: High (FPS)",HIB,665.9,713.9 "Unvanquished - Resolution: 1920 x 1080 - Effects Quality: High (FPS)",HIB,683.9,731.8 "ctx_clock - Context Switch Time (Clocks)",LIB,132,117 "Stress-NG - Test: MMAP (Bogo Ops/s)",HIB,742.41,798.15 "Stress-NG - Test: NUMA (Bogo Ops/s)",HIB,681.80,706.16 "Stress-NG - Test: Futex (Bogo Ops/s)",HIB,3538590.31,3363240.61 "Stress-NG - Test: MEMFD (Bogo Ops/s)",HIB,2049.37,2343.51 "Stress-NG - Test: Mutex (Bogo Ops/s)",HIB,16748823.88,17946052.04 "Stress-NG - Test: Atomic (Bogo Ops/s)",HIB,344361.75,341748.62 "Stress-NG - Test: Crypto (Bogo Ops/s)",HIB,42378.79,51626.59 "Stress-NG - Test: Malloc (Bogo Ops/s)",HIB,36241645.59,47064332.51 "Stress-NG - Test: Forking (Bogo Ops/s)",HIB,113514.43,104947.27 "Stress-NG - Test: IO_uring (Bogo Ops/s)",HIB,27676.33,27808.53 "Stress-NG - Test: SENDFILE (Bogo Ops/s)",HIB,588014.94,595183.17 "Stress-NG - Test: CPU Cache (Bogo Ops/s)",HIB,98.77,92.05 "Stress-NG - Test: CPU Stress (Bogo Ops/s)",HIB,51634.54,51871.91 "Stress-NG - Test: Semaphores (Bogo Ops/s)",HIB,3538392.41,3426675.99 "Stress-NG - Test: Matrix Math (Bogo Ops/s)",HIB,109789.42,110071.38 "Stress-NG - Test: Vector Math (Bogo Ops/s)",HIB,119832.03,118329.56 "Stress-NG - Test: x86_64 RdRand (Bogo Ops/s)",HIB,82767.76,82742.79 "Stress-NG - Test: Memory Copying (Bogo Ops/s)",HIB,7385.39,9212.06 "Stress-NG - Test: Socket Activity (Bogo Ops/s)",HIB,24287.07,31581.60 "Stress-NG - Test: Context Switching (Bogo Ops/s)",HIB,14703175.32,17592139.66 "Stress-NG - Test: Glibc C String Functions (Bogo Ops/s)",HIB,4307014.94,4366568.31 "Stress-NG - Test: Glibc Qsort Data Sorting (Bogo Ops/s)",HIB,411.39,457.79 "Stress-NG - Test: System V Message Passing (Bogo Ops/s)",HIB,13432520.51,38506364.42 "DaCapo Benchmark - Java Test: H2 (msec)",LIB,2091,1435 "DaCapo Benchmark - Java Test: Jython (msec)",LIB,1710,1556 "DaCapo Benchmark - Java Test: Eclipse (msec)",LIB,, "DaCapo Benchmark - Java Test: Tradesoap (msec)",LIB,1638, "DaCapo Benchmark - Java Test: Tradebeans (msec)",LIB,1689, "Renaissance - Test: Scala Dotty (ms)",LIB,454.3,379.6 "Renaissance - Test: Random Forest (ms)",LIB,384.5,357.8 "Renaissance - Test: ALS Movie Lens (ms)",LIB,7650.3,7288.7 "Renaissance - Test: Apache Spark ALS (ms)",LIB,2026.4,1885.4 "Renaissance - Test: Apache Spark Bayes (ms)",LIB,693.8,660.9 "Renaissance - Test: Savina Reactors.IO (ms)",LIB,4193.8,3631.0 "Renaissance - Test: Apache Spark PageRank (ms)",LIB,1902.7,1597.8 "Renaissance - Test: Finagle HTTP Requests (ms)",LIB,1992.6,1777.5 "Renaissance - Test: In-Memory Database Shootout (ms)",LIB,1957.9, "Renaissance - Test: Akka Unbalanced Cobwebbed Tree (ms)",LIB,7183.4,6805.9 "Renaissance - Test: Genetic Algorithm Using Jenetics + Futures (ms)",LIB,1063.3,969.4 "Stargate Digital Audio Workstation - Sample Rate: 44100 - Buffer Size: 512 (Render Ratio)",HIB,6.145353, "Stargate Digital Audio Workstation - Sample Rate: 96000 - Buffer Size: 512 (Render Ratio)",HIB,4.818425, "Stargate Digital Audio Workstation - Sample Rate: 44100 - Buffer Size: 1024 (Render Ratio)",HIB,6.422835, "Stargate Digital Audio Workstation - Sample Rate: 96000 - Buffer Size: 1024 (Render Ratio)",HIB,4.854695, "JPEG XL libjxl - Input: PNG - Quality: 80 (MP/s)",HIB,13.58,16.31 "JPEG XL libjxl - Input: PNG - Quality: 90 (MP/s)",HIB,13.43,16.18 "JPEG XL libjxl - Input: JPEG - Quality: 80 (MP/s)",HIB,13.25,16.06 "JPEG XL libjxl - Input: JPEG - Quality: 90 (MP/s)",HIB,13.09,15.92 "JPEG XL libjxl - Input: PNG - Quality: 100 (MP/s)",HIB,1.06,1.16 "JPEG XL libjxl - Input: JPEG - Quality: 100 (MP/s)",HIB,1.05,1.08 "LibRaw - Post-Processing Benchmark (Mpix/sec)",HIB,70.32,97.56 "RawTherapee - Total Benchmark Time (sec)",LIB,32.346,31.119 "WebP Image Encode - Encode Settings: Default (MP/s)",HIB,24.98,27.17 "WebP Image Encode - Encode Settings: Quality 100 (MP/s)",HIB,16.16,17.16 "WebP Image Encode - Encode Settings: Quality 100, Lossless (MP/s)",HIB,2.30,2.49 "WebP Image Encode - Encode Settings: Quality 100, Highest Compression (MP/s)",HIB,5.00,5.18 "WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (MP/s)",HIB,0.91,0.97 "Chia Blockchain VDF - Test: Square Plain C++ (IPS)",HIB,252933, "Chia Blockchain VDF - Test: Square Assembly Optimized (IPS)",HIB,269067, "Xmrig - Variant: Monero - Hash Count: 1M (H/s)",HIB,9652.5, "Xmrig - Variant: Wownero - Hash Count: 1M (H/s)",HIB,16463.2, "Tesseract - Resolution: 1920 x 1080 (FPS)",HIB,999.4426,998.3240 "Xonotic - Resolution: 1920 x 1080 - Effects Quality: Ultra (FPS)",HIB,696.9289392, "Xonotic - Resolution: 3840 x 2160 - Effects Quality: Ultra (FPS)",HIB,692.0609456, "Zstd Compression - Compression Level: 19, Long Mode - Compression Speed (MB/s)",HIB,50.9,56.4 "Xonotic - Resolution: 1920 x 1080 - Effects Quality: Ultimate (FPS)",HIB,540.6037083, "Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s)",HIB,4887.7,5235.9 "Zstd Compression - Compression Level: 19 - Compression Speed (MB/s)",HIB,80.5,85.5 "Zstd Compression - Compression Level: 19 - Decompression Speed (MB/s)",HIB,4758.3,5127.1 "Tesseract - Resolution: 3840 x 2160 (FPS)",HIB,896.0168,909.8748 "Xonotic - Resolution: 3840 x 2160 - Effects Quality: Ultimate (FPS)",HIB,527.8571544, "QuantLib - (MFLOPS)",HIB,5198.7,5528.4 "Graph500 - Scale: 26 (BFS median_TEPS)",HIB,, "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (GFInst/s)",HIB,414.591,415.684 "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (Billion Interactions/s)",HIB,16.584,16.627 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (GFInst/s)",HIB,570.623,551.794 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (Billion Interactions/s)",HIB,22.825,22.072 "OpenRadioss - Model: Bumper Beam (sec)",LIB,114.66,113.52 "OpenRadioss - Model: Cell Phone Drop Test (sec)",LIB,68.10,67.93 "OpenRadioss - Model: Bird Strike on Windshield (sec)",LIB,183.75,184.96 "OpenRadioss - Model: Rubber O-Ring Seal Installation (sec)",LIB,108.62,108.00 "TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec)",HIB,162.47, "TensorFlow - Device: CPU - Batch Size: 32 - Model: AlexNet (images/sec)",HIB,206.94, "TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,235.17, "TensorFlow - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec)",HIB,256.55, "TensorFlow - Device: CPU - Batch Size: 512 - Model: AlexNet (images/sec)",HIB,264.59, "TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec)",HIB,117.39, "TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,39.70, "TensorFlow - Device: CPU - Batch Size: 32 - Model: GoogLeNet (images/sec)",HIB,113.16, "TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,38.51, "TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec)",HIB,111.20, "TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,37.68, "TensorFlow - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec)",HIB,109.10, "TensorFlow - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec)",HIB,37.06, "TensorFlow - Device: CPU - Batch Size: 512 - Model: GoogLeNet (images/sec)",HIB,109.34, "TensorFlow - Device: CPU - Batch Size: 512 - Model: ResNet-50 (images/sec)",HIB,, "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,12.0497, "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,967.8933, "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (items/sec)",HIB,11.1047, "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (ms/batch)",LIB,90.0495, "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,50.3953, "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,236.6015, "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (items/sec)",HIB,32.1822, "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,31.0706, "Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,74.6860, "Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,159.9409, "Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream (items/sec)",HIB,56.8329, "Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream (ms/batch)",LIB,17.5900, "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,153.1273, "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,78.2359, "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (items/sec)",HIB,96.5860, "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (ms/batch)",LIB,10.3497, "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,103.8966, "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,115.3492, "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (items/sec)",HIB,80.0283, "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (ms/batch)",LIB,12.4925, "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,52.5440, "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,227.1414, "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (items/sec)",HIB,40.3232, "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,24.7970, "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,12.1856, "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,964.4355, "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (items/sec)",HIB,11.0518, "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,90.4809, "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inferences/min)",HIB,10578,11942 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inferences/min)",HIB,687,818 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inferences/min)",HIB,1210,1254 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inferences/min)",HIB,133,133 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inferences/min)",HIB,598,2014 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inferences/min)",HIB,6842,9079 "spaCy - Model: en_core_web_lg (tokens/sec)",HIB,20855, "spaCy - Model: en_core_web_trf (tokens/sec)",HIB,2523, "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,1.414,1.401 "High Performance Conjugate Gradient - (GFLOP/s)",HIB,10.1549,8.61547 "NAS Parallel Benchmarks - Test / Class: BT.C (Mop/s)",HIB,49771.29,48313.69 "NAS Parallel Benchmarks - Test / Class: CG.C (Mop/s)",HIB,8583.03,8580.50 "NAS Parallel Benchmarks - Test / Class: EP.C (Mop/s)",HIB,3262.42,3015.68 "NAS Parallel Benchmarks - Test / Class: EP.D (Mop/s)",HIB,3049.53,2906.94 "NAS Parallel Benchmarks - Test / Class: FT.C (Mop/s)",HIB,22382.81,21228.75 "NAS Parallel Benchmarks - Test / Class: IS.D (Mop/s)",HIB,1263.16,1304.96 "NAS Parallel Benchmarks - Test / Class: LU.C (Mop/s)",HIB,53311.89,51989.89 "NAS Parallel Benchmarks - Test / Class: MG.C (Mop/s)",HIB,24905.50,24835.87 "NAS Parallel Benchmarks - Test / Class: SP.B (Mop/s)",HIB,22786.60,21769.33 "NAS Parallel Benchmarks - Test / Class: SP.C (Mop/s)",HIB,15473.90,15318.83 "Rodinia - Test: OpenMP LavaMD (sec)",LIB,84.645,81.322 "Rodinia - Test: OpenMP HotSpot3D (sec)",LIB,49.660,48.431 "Rodinia - Test: OpenMP Leukocyte (sec)",LIB,49.976,48.369 "Rodinia - Test: OpenMP CFD Solver (sec)",LIB,6.168,6.227 "Rodinia - Test: OpenMP Streamcluster (sec)",LIB,7.297,7.732 "NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,0.60982,0.62153 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,1.90430,1.98941 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,4.07923,3.35354 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,5.77228,5.75329 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,7.63132,6.80836 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,3.44347,3.39332 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,2150.83,2065.81 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,1112.82,1132.54 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,1.492836,1.08446 "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,5.08, "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,1570.46, "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,3.58, "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,2222.92, "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,3.55, "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,2238.02, "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,372.85, "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,21.43, "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,18.23, "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,438.23, "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,916.05, "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,8.72, "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,468.50, "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,51.14, "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,63.48, "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,125.97, "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,1638.99, "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,14.63, "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,728.91, "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,10.96, "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,14593.71, "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,1.64, "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,33018.17, "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.72, "PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 16384 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 16384 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 16384 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 16384 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Equation of State (sec)",LIB,0.001,0.001 "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Isoneutral Mixing (sec)",LIB,0.004,0.004 "PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 16384 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 16384 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 16384 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 16384 - Benchmark: Isoneutral Mixing (sec)",LIB,, "HammerDB - MariaDB - Virtual Users: 64 - Warehouses: 250 (New Orders/min)",HIB,38440, "HammerDB - MariaDB - Virtual Users: 64 - Warehouses: 100 (New Orders/min)",HIB,39063, "HammerDB - MariaDB - Virtual Users: 8 - Warehouses: 100 (New Orders/min)",HIB,38236, "HammerDB - MariaDB - Virtual Users: 32 - Warehouses: 250 (New Orders/min)",HIB,35682, "HammerDB - MariaDB - Virtual Users: 32 - Warehouses: 250 (Transactions/min)",HIB,82861, "HammerDB - MariaDB - Virtual Users: 32 - Warehouses: 100 (New Orders/min)",HIB,38008, "HammerDB - MariaDB - Virtual Users: 32 - Warehouses: 100 (Transactions/min)",HIB,88315, "HammerDB - MariaDB - Virtual Users: 16 - Warehouses: 250 (New Orders/min)",HIB,37140, "HammerDB - MariaDB - Virtual Users: 16 - Warehouses: 250 (Transactions/min)",HIB,86541, "HammerDB - MariaDB - Virtual Users: 16 - Warehouses: 100 (New Orders/min)",HIB,37182, "HammerDB - MariaDB - Virtual Users: 16 - Warehouses: 100 (Transactions/min)",HIB,86277, "HammerDB - MariaDB - Virtual Users: 8 - Warehouses: 250 (Transactions/min)",HIB,72163, "HammerDB - MariaDB - Virtual Users: 8 - Warehouses: 250 (New Orders/min)",HIB,31038, "HammerDB - MariaDB - Virtual Users: 8 - Warehouses: 100 (Transactions/min)",HIB,89121, "HammerDB - MariaDB - Virtual Users: 64 - Warehouses: 250 (Transactions/min)",HIB,89332, "HammerDB - MariaDB - Virtual Users: 64 - Warehouses: 100 (Transactions/min)",HIB,90768, "PyHPC Benchmarks - Device: CPU - Backend: TensorFlow - Project Size: 16384 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: TensorFlow - Project Size: 16384 - Benchmark: Isoneutral Mixing (sec)",LIB,, "NWChem - Input: C240 Buckyball (sec)",LIB,4268.4,3905.5 "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Mesh Time (sec)",LIB,27.343094, "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Execution Time (sec)",LIB,151.34484, "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,182153,181805 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,139981,131994 "Cpuminer-Opt - Algorithm: Magi (kH/s)",HIB,1176.02,1061.90 "Cpuminer-Opt - Algorithm: x25x (kH/s)",HIB,1128.00,1138.85 "Cpuminer-Opt - Algorithm: scrypt (kH/s)",HIB,333.58,337.82 "Cpuminer-Opt - Algorithm: Deepcoin (kH/s)",HIB,18520,18870 "Cpuminer-Opt - Algorithm: Ringcoin (kH/s)",HIB,5423.94,5020.19 "Cpuminer-Opt - Algorithm: Blake-2 S (kH/s)",HIB,765587,706620 "Cpuminer-Opt - Algorithm: Garlicoin (kH/s)",HIB,3496.70,3275.84 "Cpuminer-Opt - Algorithm: Skeincoin (kH/s)",HIB,156343,160181 "Cpuminer-Opt - Algorithm: LBC, LBRY Credits (kH/s)",HIB,52550,53897 "Cpuminer-Opt - Algorithm: Quad SHA-256, Pyrite (kH/s)",HIB,198680,200287 "Cpuminer-Opt - Algorithm: Triple SHA-256, Onecoin (kH/s)",HIB,434460,436663 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,41.396,42.702 "Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,454.880,506.574 "AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K (FPS)",HIB,44.87, "AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K (FPS)",HIB,66.05, "AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K (FPS)",HIB,85.34, "AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K (FPS)",HIB,86.52, "SVT-VP9 - Tuning: VMAF Optimized - Input: Bosphorus 4K (FPS)",HIB,142.19,146.71 "SVT-VP9 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K (FPS)",HIB,155.19,158.73 "SVT-VP9 - Tuning: Visual Quality Optimized - Input: Bosphorus 4K (FPS)",HIB,123.49,121.67 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,3.004,3.069 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,77.256,76.302 "SVT-AV1 - Encoder Mode: Preset 10 - Input: Bosphorus 4K (FPS)",HIB,147.867,149.923 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,216.517,224.038 "Chaos Group V-RAY - Mode: CPU (vsamples)",HIB,28734,28587 "SVT-HEVC - Tuning: 1 - Input: Bosphorus 4K (FPS)",HIB,5.79,6.10 "SVT-HEVC - Tuning: 7 - Input: Bosphorus 4K (FPS)",HIB,105.39,106.10 "SVT-HEVC - Tuning: 10 - Input: Bosphorus 4K (FPS)",HIB,202.12,201.71 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,51.61,51.58 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,147.64,146.41 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,75.32,75.33 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,576.35,591.51 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,178.95,178.79 "FFmpeg - Encoder: libx264 - Scenario: Live (sec)",LIB,14.30,14.08 "FFmpeg - Encoder: libx264 - Scenario: Live (FPS)",HIB,353.24,358.59 "FFmpeg - Encoder: libx265 - Scenario: Live (sec)",LIB,27.74,26.13 "FFmpeg - Encoder: libx265 - Scenario: Live (FPS)",HIB,182.08,193.28 "FFmpeg - Encoder: libx264 - Scenario: Upload (sec)",LIB,129.619138287,127.291416012 "FFmpeg - Encoder: libx264 - Scenario: Upload (FPS)",HIB,19.48,19.84 "FFmpeg - Encoder: libx265 - Scenario: Upload (sec)",LIB,79.00,75.44 "FFmpeg - Encoder: libx265 - Scenario: Upload (FPS)",HIB,31.96,33.47 "FFmpeg - Encoder: libx264 - Scenario: Platform (sec)",LIB,99.29,96.96 "FFmpeg - Encoder: libx264 - Scenario: Platform (FPS)",HIB,76.29,78.12 "FFmpeg - Encoder: libx265 - Scenario: Platform (sec)",LIB,116.30,109.77 "FFmpeg - Encoder: libx265 - Scenario: Platform (FPS)",HIB,65.14,69.01 "FFmpeg - Encoder: libx264 - Scenario: Video On Demand (sec)",LIB,99.25,97.31 "FFmpeg - Encoder: libx264 - Scenario: Video On Demand (FPS)",HIB,76.32,77.85 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (sec)",LIB,116.32,109.96 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS)",HIB,65.12,68.89 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 (Images / Sec)",HIB,0.57,0.55 "OpenVKL - Benchmark: vklBenchmark ISPC (Items / Sec)",HIB,161,162 "IndigoBench - Acceleration: CPU - Scene: Bedroom (M samples/s)",HIB,4.051,5.328 "IndigoBench - Acceleration: CPU - Scene: Supercar (M samples/s)",HIB,11.802,11.988 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer (ms)",LIB,4831, "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer (ms)",LIB,5758, "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,157185, "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,187579, "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer (ms)",LIB,1242, "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer (ms)",LIB,1473, "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,39037, "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,46495, "Appleseed - Scene: Emily (sec)",LIB,164.939996,162.829596 "Appleseed - Scene: Disney Material (sec)",LIB,84.859545,83.817401 "Appleseed - Scene: Material Tester (sec)",LIB,90.775778,95.656227 "Timed CPython Compilation - Build Configuration: Default (sec)",LIB,12.029,13.259 "Timed CPython Compilation - Build Configuration: Released Build, PGO + LTO Optimized (sec)",LIB,171.502,177.802 "Timed Node.js Compilation - Time To Compile (sec)",LIB,256.701, "Timed Wasmer Compilation - Time To Compile (sec)",LIB,30.245,26.991 "FinanceBench - Benchmark: Repo OpenMP (ms)",LIB,19315.829427,22344.258203 "FinanceBench - Benchmark: Bonds OpenMP (ms)",LIB,30942.007162,33544.891016 "PyPerformance - Benchmark: go (Milliseconds)",LIB,112,67.6 "PyPerformance - Benchmark: 2to3 (Milliseconds)",LIB,158,122 "PyPerformance - Benchmark: chaos (Milliseconds)",LIB,44.9,32.1 "PyPerformance - Benchmark: float (Milliseconds)",LIB,46.7,32.4 "PyPerformance - Benchmark: nbody (Milliseconds)",LIB,61.4,41.5 "PyPerformance - Benchmark: pathlib (Milliseconds)",LIB,8.77,7.35 "PyPerformance - Benchmark: raytrace (Milliseconds)",LIB,208,130 "PyPerformance - Benchmark: json_loads (Milliseconds)",LIB,11.5,11.1 "PyPerformance - Benchmark: crypto_pyaes (Milliseconds)",LIB,50.7,35.4 "PyPerformance - Benchmark: regex_compile (Milliseconds)",LIB,82.1,63.5 "PyPerformance - Benchmark: python_startup (Milliseconds)",LIB,7.39,5.04 "PyPerformance - Benchmark: django_template (Milliseconds)",LIB,22.2,17.3 "PyPerformance - Benchmark: pickle_pure_python (Milliseconds)",LIB,197,135 "Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,859746667,1003120000 "srsRAN - Test: OFDM_Test (Samples / Second)",HIB,195600000, "srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM (eNb Mb/s)",HIB,624.9, "srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM (UE Mb/s)",HIB,182.0, "srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM (eNb Mb/s)",HIB,633.1, "srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM (UE Mb/s)",HIB,233.3, "srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM (eNb Mb/s)",HIB,677.5, "srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM (UE Mb/s)",HIB,199.2, "srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM (eNb Mb/s)",HIB,683.7, "srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM (UE Mb/s)",HIB,242.6, "srsRAN - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (eNb Mb/s)",HIB,224.3, "srsRAN - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (UE Mb/s)",HIB,107.6, "nginx - Connections: 1 (Reqs/sec)",HIB,, "nginx - Connections: 20 (Reqs/sec)",HIB,, "nginx - Connections: 100 (Reqs/sec)",HIB,204910.46, "nginx - Connections: 200 (Reqs/sec)",HIB,205841.24, "nginx - Connections: 500 (Reqs/sec)",HIB,203069.78, "nginx - Connections: 1000 (Reqs/sec)",HIB,192021.95, "OpenSSL - Algorithm: SHA256 (byte/s)",HIB,35956999233,37622237897 "OpenSSL - Algorithm: RSA4096 (sign/s)",HIB,5496.9,5428.9 "OpenSSL - Algorithm: RSA4096 (verify/s)",HIB,358806.7,358535.2 "Node.js Express HTTP Load Test - (Reqs/sec)",HIB,18147,22735 "PHPBench - PHP Benchmark Suite (Score)",HIB,1617596,3355423 "Apache Spark - Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time (sec)",LIB,1.99, "Apache Spark - Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark (sec)",LIB,51.76, "Apache Spark - Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe (sec)",LIB,3.45, "Apache Spark - Row Count: 1000000 - Partitions: 100 - Group By Test Time (sec)",LIB,2.63, "Apache Spark - Row Count: 1000000 - Partitions: 100 - Repartition Test Time (sec)",LIB,1.02, "Apache Spark - Row Count: 1000000 - Partitions: 100 - Inner Join Test Time (sec)",LIB,0.93, "Apache Spark - Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time (sec)",LIB,0.77, "Apache Spark - Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark Time (sec)",LIB,2.03, "Apache Spark - Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark (sec)",LIB,52.24, "Apache Spark - Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe (sec)",LIB,3.26, "EnCodec - Target Bandwidth: 1.5 kbps (sec)",LIB,18.548, "Apache Spark - Row Count: 1000000 - Partitions: 500 - Group By Test Time (sec)",LIB,2.44, "Apache Spark - Row Count: 1000000 - Partitions: 500 - Repartition Test Time (sec)",LIB,1.09, "EnCodec - Target Bandwidth: 24 kbps (sec)",LIB,21.855, "EnCodec - Target Bandwidth: 3 kbps (sec)",LIB,19.182, "Apache Spark - Row Count: 1000000 - Partitions: 500 - Inner Join Test Time (sec)",LIB,0.95, "Apache Spark - Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test Time (sec)",LIB,0.79, "ClickHouse - 100M Rows Web Analytics Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,301.66,317.57 "ClickHouse - 100M Rows Web Analytics Dataset, Second Run (Queries/min, Geo Mean)",HIB,307.65,322.07 "ClickHouse - 100M Rows Web Analytics Dataset, Third Run (Queries/min, Geo Mean)",HIB,308.97,328.44 "memtier_benchmark - Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:1 (Ops/sec)",HIB,3124943.72,3639054.06 "memtier_benchmark - Protocol: Redis - Clients: 50 - Set To Get Ratio: 10:1 (Ops/sec)",HIB,3127334.75,3223992.91 "memtier_benchmark - Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,3456218.18,3811036.87 "SQLite Speedtest - Timed Time - Size 1,000 (sec)",LIB,32.806,29.757 "EnCodec - Target Bandwidth: 6 kbps (sec)",LIB,19.303, "Node.js V8 Web Tooling Benchmark - (runs/s)",HIB,26.33,26.90 "Node.js Octane Benchmark - (Score)",HIB,, "Polyhedron Fortran Benchmarks - Benchmark: ac (sec)",LIB,3.77, "Polyhedron Fortran Benchmarks - Benchmark: air (sec)",LIB,0.93, "CloudSuite In-Memory Analytics - (ms)",LIB,10160, "Polyhedron Fortran Benchmarks - Benchmark: mdbx (sec)",LIB,3.02, "Polyhedron Fortran Benchmarks - Benchmark: doduc (sec)",LIB,3.38, "Polyhedron Fortran Benchmarks - Benchmark: linpk (sec)",LIB,1.34, "CloudSuite Graph Analytics - (ms)",LIB,9985, "Polyhedron Fortran Benchmarks - Benchmark: tfft2 (sec)",LIB,12.1, "Polyhedron Fortran Benchmarks - Benchmark: aermod (sec)",LIB,2.77, "Polyhedron Fortran Benchmarks - Benchmark: rnflow (sec)",LIB,9.54, "Polyhedron Fortran Benchmarks - Benchmark: induct2 (sec)",LIB,11.07, "Polyhedron Fortran Benchmarks - Benchmark: protein (sec)",LIB,6.93, "Polyhedron Fortran Benchmarks - Benchmark: capacita (sec)",LIB,5.13, "Polyhedron Fortran Benchmarks - Benchmark: channel2 (sec)",LIB,29.3, "Polyhedron Fortran Benchmarks - Benchmark: fatigue2 (sec)",LIB,21.88, "Polyhedron Fortran Benchmarks - Benchmark: gas_dyn2 (sec)",LIB,25.83, "Polyhedron Fortran Benchmarks - Benchmark: test_fpu2 (sec)",LIB,13.99, "Polyhedron Fortran Benchmarks - Benchmark: mp_prop_design (sec)",LIB,25.77, "PyBench - Total For Average Test Times (Milliseconds)",LIB,474,401