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
Jump To Table - Results

View

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

Limit displaying results to tests within:

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

Statistics

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

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
Ubuntu 22.10
November 02 2022
  1 Day, 1 Hour, 49 Minutes
Clear Linux
November 05 2022
  14 Hours, 3 Minutes
Invert Hiding All Results Option
  19 Hours, 56 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

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" "Graph500 - Scale: 26 (BFS median_TEPS)",HIB,, "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (Billion Interactions/s)",HIB,16.584,16.627 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (Billion Interactions/s)",HIB,22.825,22.072 "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 "OpenSSL - Algorithm: SHA256 (byte/s)",HIB,35956999233,37622237897 "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 SISO 64-QAM (eNb Mb/s)",HIB,633.1, "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 SISO 256-QAM (eNb Mb/s)",HIB,683.7, "srsRAN - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (eNb Mb/s)",HIB,224.3, "FFmpeg - Encoder: libx264 - Scenario: Live (FPS)",HIB,353.24,358.59 "FFmpeg - Encoder: libx265 - Scenario: Live (FPS)",HIB,182.08,193.28 "FFmpeg - Encoder: libx264 - Scenario: Upload (FPS)",HIB,19.48,19.84 "FFmpeg - Encoder: libx265 - Scenario: Upload (FPS)",HIB,31.96,33.47 "FFmpeg - Encoder: libx264 - Scenario: Platform (FPS)",HIB,76.29,78.12 "FFmpeg - Encoder: libx265 - Scenario: Platform (FPS)",HIB,65.14,69.01 "FFmpeg - Encoder: libx264 - Scenario: Video On Demand (FPS)",HIB,76.32,77.85 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS)",HIB,65.12,68.89 "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,5.08, "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,3.58, "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,3.55, "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,372.85, "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,18.23, "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,916.05, "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,468.50, "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,63.48, "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,1638.99, "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,728.91, "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,14593.71, "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,33018.17, "Tesseract - Resolution: 1920 x 1080 (FPS)",HIB,999.4426,998.3240 "Tesseract - Resolution: 3840 x 2160 (FPS)",HIB,896.0168,909.8748 "Unvanquished - Resolution: 1920 x 1080 - Effects Quality: High (FPS)",HIB,683.9,731.8 "Unvanquished - Resolution: 3840 x 2160 - Effects Quality: High (FPS)",HIB,665.9,713.9 "Unvanquished - Resolution: 1920 x 1080 - Effects Quality: Ultra (FPS)",HIB,671.3,713.0 "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 "Warsow - Resolution: 3840 x 2160 (FPS)",HIB,951.3, "Xonotic - Resolution: 1920 x 1080 - Effects Quality: Ultra (FPS)",HIB,696.9289392, "Xonotic - Resolution: 3840 x 2160 - Effects Quality: Ultra (FPS)",HIB,692.0609456, "Xonotic - Resolution: 1920 x 1080 - Effects Quality: Ultimate (FPS)",HIB,540.6037083, "Xonotic - Resolution: 3840 x 2160 - Effects Quality: Ultimate (FPS)",HIB,527.8571544, "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-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 "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 "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 "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (GFInst/s)",HIB,414.591,415.684 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (GFInst/s)",HIB,570.623,551.794 "High Performance Conjugate Gradient - (GFLOP/s)",HIB,10.1549,8.61547 "Xmrig - Variant: Monero - Hash Count: 1M (H/s)",HIB,9652.5, "Xmrig - Variant: Wownero - Hash Count: 1M (H/s)",HIB,16463.2, "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 (Images / Sec)",HIB,0.57,0.55 "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,, "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 "Chia Blockchain VDF - Test: Square Plain C++ (IPS)",HIB,252933, "Chia Blockchain VDF - Test: Square Assembly Optimized (IPS)",HIB,269067, "OpenVKL - Benchmark: vklBenchmark ISPC (Items / Sec)",HIB,161,162 "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: Synchronous Single-Stream (items/sec)",HIB,11.1047, "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: Synchronous Single-Stream (items/sec)",HIB,32.1822, "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: Synchronous Single-Stream (items/sec)",HIB,56.8329, "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: Synchronous Single-Stream (items/sec)",HIB,96.5860, "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: Synchronous Single-Stream (items/sec)",HIB,80.0283, "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: Synchronous Single-Stream (items/sec)",HIB,40.3232, "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: Synchronous Single-Stream (items/sec)",HIB,11.0518, "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 "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 "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 "Zstd Compression - Compression Level: 19, Long Mode - Compression Speed (MB/s)",HIB,50.9,56.4 "Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s)",HIB,4887.7,5235.9 "QuantLib - (MFLOPS)",HIB,5198.7,5528.4 "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,182153,181805 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,139981,131994 "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 "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 "LibRaw - Post-Processing Benchmark (Mpix/sec)",HIB,70.32,97.56 "HammerDB - MariaDB - Virtual Users: 8 - Warehouses: 100 (New Orders/min)",HIB,38236, "HammerDB - MariaDB - Virtual Users: 8 - Warehouses: 250 (New Orders/min)",HIB,31038, "HammerDB - MariaDB - Virtual Users: 16 - Warehouses: 100 (New Orders/min)",HIB,37182, "HammerDB - MariaDB - Virtual Users: 16 - Warehouses: 250 (New Orders/min)",HIB,37140, "HammerDB - MariaDB - Virtual Users: 32 - Warehouses: 100 (New Orders/min)",HIB,38008, "HammerDB - MariaDB - Virtual Users: 32 - Warehouses: 250 (New Orders/min)",HIB,35682, "HammerDB - MariaDB - Virtual Users: 64 - Warehouses: 100 (New Orders/min)",HIB,39063, "HammerDB - MariaDB - Virtual Users: 64 - Warehouses: 250 (New Orders/min)",HIB,38440, "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,1.414,1.401 "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 "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 "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, "Node.js Express HTTP Load Test - (Reqs/sec)",HIB,18147,22735 "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, "Node.js V8 Web Tooling Benchmark - (runs/s)",HIB,26.33,26.90 "srsRAN - Test: OFDM_Test (Samples / Second)",HIB,195600000, "Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,859746667,1003120000 "Node.js Octane Benchmark - (Score)",HIB,, "PHPBench - PHP Benchmark Suite (Score)",HIB,1617596,3355423 "OpenSSL - Algorithm: RSA4096 (sign/s)",HIB,5496.9,5428.9 "spaCy - Model: en_core_web_lg (tokens/sec)",HIB,20855, "spaCy - Model: en_core_web_trf (tokens/sec)",HIB,2523, "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 "HammerDB - MariaDB - Virtual Users: 8 - Warehouses: 100 (Transactions/min)",HIB,89121, "HammerDB - MariaDB - Virtual Users: 8 - Warehouses: 250 (Transactions/min)",HIB,72163, "HammerDB - MariaDB - Virtual Users: 16 - Warehouses: 100 (Transactions/min)",HIB,86277, "HammerDB - MariaDB - Virtual Users: 16 - Warehouses: 250 (Transactions/min)",HIB,86541, "HammerDB - MariaDB - Virtual Users: 32 - Warehouses: 100 (Transactions/min)",HIB,88315, "HammerDB - MariaDB - Virtual Users: 32 - Warehouses: 250 (Transactions/min)",HIB,82861, "HammerDB - MariaDB - Virtual Users: 64 - Warehouses: 100 (Transactions/min)",HIB,90768, "HammerDB - MariaDB - Virtual Users: 64 - Warehouses: 250 (Transactions/min)",HIB,89332, "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 (UE Mb/s)",HIB,233.3, "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 (UE Mb/s)",HIB,242.6, "srsRAN - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (UE Mb/s)",HIB,107.6, "OpenSSL - Algorithm: RSA4096 (verify/s)",HIB,358806.7,358535.2 "Chaos Group V-RAY - Mode: CPU (vsamples)",HIB,28734,28587 "ctx_clock - Context Switch Time (Clocks)",LIB,132,117 "NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,0.60982,0.62153 "PyBench - Total For Average Test Times (Milliseconds)",LIB,474,401 "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 "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 "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 "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, "FinanceBench - Benchmark: Repo OpenMP (ms)",LIB,19315.829427,22344.258203 "FinanceBench - Benchmark: Bonds OpenMP (ms)",LIB,30942.007162,33544.891016 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,1570.46, "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,2222.92, "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,2238.02, "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,21.43, "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,438.23, "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,8.72, "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,51.14, "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,125.97, "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,14.63, "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,10.96, "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 (ms)",LIB,0.72, "CloudSuite Graph Analytics - (ms)",LIB,9985, "CloudSuite In-Memory Analytics - (ms)",LIB,10160, "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 (ms/batch)",LIB,90.0495, "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 (ms/batch)",LIB,31.0706, "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 (ms/batch)",LIB,17.5900, "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 (ms/batch)",LIB,10.3497, "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 (ms/batch)",LIB,12.4925, "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 (ms/batch)",LIB,24.7970, "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 (ms/batch)",LIB,90.4809, "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, "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 "Polyhedron Fortran Benchmarks - Benchmark: ac (sec)",LIB,3.77, "Polyhedron Fortran Benchmarks - Benchmark: air (sec)",LIB,0.93, "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, "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, "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, "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 "Java Gradle Build - Gradle Build: Reactor (sec)",LIB,142.798, "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,41.396,42.702 "Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,454.880,506.574 "Timed Node.js Compilation - Time To Compile (sec)",LIB,256.701, "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 Wasmer Compilation - Time To Compile (sec)",LIB,30.245,26.991 "FFmpeg - Encoder: libx264 - Scenario: Live (sec)",LIB,14.30,14.08 "FFmpeg - Encoder: libx265 - Scenario: Live (sec)",LIB,27.74,26.13 "FFmpeg - Encoder: libx264 - Scenario: Upload (sec)",LIB,129.619138287,127.291416012 "FFmpeg - Encoder: libx265 - Scenario: Upload (sec)",LIB,79.00,75.44 "FFmpeg - Encoder: libx264 - Scenario: Platform (sec)",LIB,99.29,96.96 "FFmpeg - Encoder: libx265 - Scenario: Platform (sec)",LIB,116.30,109.77 "FFmpeg - Encoder: libx264 - Scenario: Video On Demand (sec)",LIB,99.25,97.31 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (sec)",LIB,116.32,109.96 "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, "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, "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, "SQLite Speedtest - Timed Time - Size 1,000 (sec)",LIB,32.806,29.757 "RawTherapee - Total Benchmark Time (sec)",LIB,32.346,31.119 "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 "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 "EnCodec - Target Bandwidth: 3 kbps (sec)",LIB,19.182, "EnCodec - Target Bandwidth: 6 kbps (sec)",LIB,19.303, "EnCodec - Target Bandwidth: 24 kbps (sec)",LIB,21.855, "EnCodec - Target Bandwidth: 1.5 kbps (sec)",LIB,18.548, "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,, "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,,