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