oktoberfest

Tests for a future article. Intel Core i5-12600K testing with a ASUS PRIME Z690-P WIFI D4 (0605 BIOS) and ASUS Intel ADL-S GT1 15GB on Ubuntu 22.04 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 2310296-PTS-OKTOBERF32
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AV1 4 Tests
C++ Boost Tests 2 Tests
Timed Code Compilation 5 Tests
C/C++ Compiler Tests 6 Tests
CPU Massive 12 Tests
Creator Workloads 16 Tests
Database Test Suite 3 Tests
Encoding 6 Tests
Game Development 4 Tests
HPC - High Performance Computing 9 Tests
Common Kernel Benchmarks 2 Tests
Machine Learning 5 Tests
MPI Benchmarks 2 Tests
Multi-Core 19 Tests
NVIDIA GPU Compute 2 Tests
Intel oneAPI 6 Tests
OpenMPI Tests 5 Tests
Programmer / Developer System Benchmarks 5 Tests
Python Tests 7 Tests
Raytracing 2 Tests
Renderers 3 Tests
Server 6 Tests
Server CPU Tests 7 Tests
Single-Threaded 2 Tests
Video Encoding 5 Tests
Common Workstation Benchmarks 2 Tests

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October 29 2023
  7 Hours, 46 Minutes
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October 29 2023
  7 Hours, 30 Minutes
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oktoberfest Tests for a future article. Intel Core i5-12600K testing with a ASUS PRIME Z690-P WIFI D4 (0605 BIOS) and ASUS Intel ADL-S GT1 15GB on Ubuntu 22.04 via the Phoronix Test Suite. ,,"a","b" Processor,,Intel Core i5-12600K @ 6.30GHz (10 Cores / 16 Threads),Intel Core i5-12600K @ 6.30GHz (10 Cores / 16 Threads) Motherboard,,ASUS PRIME Z690-P WIFI D4 (0605 BIOS),ASUS PRIME Z690-P WIFI D4 (0605 BIOS) Chipset,,Intel Device 7aa7,Intel Device 7aa7 Memory,,16GB,16GB Disk,,1000GB Western Digital WDS100T1X0E-00AFY0,1000GB Western Digital WDS100T1X0E-00AFY0 Graphics,,ASUS Intel ADL-S GT1 15GB (1450MHz),ASUS Intel ADL-S GT1 15GB (1450MHz) Audio,,Realtek ALC897,Realtek ALC897 Monitor,,ASUS MG28U,ASUS MG28U Network,,Realtek RTL8125 2.5GbE + Intel Device 7af0,Realtek RTL8125 2.5GbE + Intel Device 7af0 OS,,Ubuntu 22.04,Ubuntu 22.04 Kernel,,5.19.0-051900rc6daily20220716-generic (x86_64),5.19.0-051900rc6daily20220716-generic (x86_64) Desktop,,GNOME Shell 42.1,GNOME Shell 42.1 Display Server,,X Server 1.21.1.3 + Wayland,X Server 1.21.1.3 + Wayland OpenGL,,4.6 Mesa 22.0.1,4.6 Mesa 22.0.1 OpenCL,,OpenCL 3.0,OpenCL 3.0 Vulkan,,1.2.204,1.2.204 Compiler,,GCC 11.4.0,GCC 11.4.0 File-System,,ext4,ext4 Screen Resolution,,3840x2160,3840x2160 ,,"a","b" "SQLite - Threads / Copies: 1 (sec)",LIB,8.943,8.908 "SQLite - Threads / Copies: 2 (sec)",LIB,14.49,14.457 "SQLite - Threads / Copies: 4 (sec)",LIB,19.005,19.004 "QuantLib - Configuration: Multi-Threaded (MFLOPS)",HIB,40312.3,39967.5 "QuantLib - Configuration: Single-Threaded (MFLOPS)",HIB,4562.6,4573.9 "High Performance Conjugate Gradient - X Y Z: 104 104 104 - RT: 60 (GFLOP/s)",HIB,6.95045,6.96238 "High Performance Conjugate Gradient - X Y Z: 144 144 144 - RT: 60 (GFLOP/s)",HIB,, "libxsmm - M N K: 128 (GFLOPS/s)",HIB,247.5,248 "libxsmm - M N K: 32 (GFLOPS/s)",HIB,96.3,96.4 "libxsmm - M N K: 64 (GFLOPS/s)",HIB,167.9,167 "Palabos - Grid Size: 100 (Mega Site Updates/sec)",HIB,51.2381,51.3091 "Palabos - Grid Size: 400 (Mega Site Updates/sec)",HIB,76.7579,76.5863 "OpenRadioss - Model: Bumper Beam (sec)",LIB,222.32,233.21 "OpenRadioss - Model: Cell Phone Drop Test (sec)",LIB,157.04,152.73 "OpenRadioss - Model: Bird Strike on Windshield (sec)",LIB,347.26,342.5 "OpenRadioss - Model: Rubber O-Ring Seal Installation (sec)",LIB,283.82,283.06 "OpenRadioss - Model: INIVOL and Fluid Structure Interaction Drop Container (sec)",LIB,717.69,714.81 "Z3 Theorem Prover - SMT File: 1.smt2 (sec)",LIB,19.126,19.121 "Z3 Theorem Prover - SMT File: 2.smt2 (sec)",LIB,62.939,63.059 "nekRS - Input: Kershaw (flops/rank)",HIB,3261960000,3260840000 "nekRS - Input: TurboPipe Periodic (flops/rank)",HIB,,4079830000 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 (sec)",LIB,9.046,9.06 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 (sec)",LIB,185.879,185.999 "dav1d - Video Input: Chimera 1080p (FPS)",HIB,683.61,675.83 "dav1d - Video Input: Summer Nature 4K (FPS)",HIB,238.78,239.22 "dav1d - Video Input: Summer Nature 1080p (FPS)",HIB,956.18,962.35 "dav1d - Video Input: Chimera 1080p 10-bit (FPS)",HIB,556.38,555.73 "AOM AV1 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,0.24,0.24 "AOM AV1 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,6.77,6.77 "AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K (FPS)",HIB,63.82,71.58 "AOM AV1 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,14.25,14.26 "AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K (FPS)",HIB,68.67,68.16 "AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K (FPS)",HIB,69.71,79.9 "AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K (FPS)",HIB,75.67,81.38 "AOM AV1 - Encoder Mode: Speed 11 Realtime - Input: Bosphorus 4K (FPS)",HIB,73.19,70.73 "AOM AV1 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,0.73,0.73 "AOM AV1 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,15.99,15.99 "AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p (FPS)",HIB,146.21,166.68 "AOM AV1 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,46.78,46.68 "AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p (FPS)",HIB,183.46,162.27 "AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p (FPS)",HIB,199.96,184.04 "AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p (FPS)",HIB,178.89,188.01 "AOM AV1 - Encoder Mode: Speed 11 Realtime - Input: Bosphorus 1080p (FPS)",HIB,193.68,190.21 "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,12.706,12.623 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,13.4891,13.5405 "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,14.9731,14.9131 "Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,13.5052,13.4833 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,16.6603,16.6913 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,14.513,14.5736 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,3.475,3.455 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,44.977,44.94 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,109.879,109.209 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,111.129,111.541 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,11.198,11.215 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,92.681,93.344 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,437.372,427.53 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,516.2,499.07 "VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,4.931,4.912 "VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,10.181,10.225 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Fast (FPS)",HIB,15.108,15.237 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Faster (FPS)",HIB,33.291,33.094 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,0.34,0.34 "OpenVKL - Benchmark: vklBenchmarkCPU ISPC (Items / Sec)",HIB,277,277 "OpenVKL - Benchmark: vklBenchmarkCPU Scalar (Items / Sec)",HIB,130,130 "OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,5.74695,5.76091 "OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,5.68706,5.70261 "OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,140.441,140.588 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,2.63693,2.63451 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec)",HIB,2.55887,2.54893 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,3.88095,3.86334 "libavif avifenc - Encoder Speed: 0 (sec)",LIB,127.473,126.773 "libavif avifenc - Encoder Speed: 2 (sec)",LIB,60.818,59.356 "libavif avifenc - Encoder Speed: 6 (sec)",LIB,6.332,6.274 "libavif avifenc - Encoder Speed: 6, Lossless (sec)",LIB,9.164,9.139 "libavif avifenc - Encoder Speed: 10, Lossless (sec)",LIB,4.552,4.634 "Timed GCC Compilation - Time To Compile (sec)",LIB,918.832,918.938 "Timed Godot Game Engine Compilation - Time To Compile (sec)",LIB,323.861, "Timed LLVM Compilation - Build System: Ninja (sec)",LIB,, "Timed LLVM Compilation - Build System: Unix Makefiles (sec)",LIB,, "Timed Node.js Compilation - Time To Compile (sec)",LIB,, "Build2 - Time To Compile (sec)",LIB,137.603, "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,3.89503,3.89409 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,10.7972,10.6941 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,14.3545,14.3415 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,9.24791,9.2303 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,8.04899,8.04648 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,5530.13,4270.3 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,2636.78,2167.5 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,9734,9716 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,9910,9901 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,11549,11536 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,159663,159770 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,316965,317047 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,162070,162754 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,322602,322586 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,189279,189045 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,375733,375965 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,2456,2457 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,2499,2496 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,2912,2916 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,42656,42536 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,82003,82116 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,43199,43132 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,83367,83406 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,49884,49910 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,96823,96957 "Opus Codec Encoding - WAV To Opus Encode (sec)",LIB,20.508,20.541 "eSpeak-NG Speech Engine - Text-To-Speech Synthesis (sec)",LIB,21.215,21.288 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,57879000,57881000 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,78801000,80378000 "Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,115700000,115690000 "Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,159380000,160510000 "Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,221860000,221680000 "Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,305790000,303380000 "Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,402980000,400370000 "Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,518790000,515540000 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,20784000,20781000 "Liquid-DSP - Threads: 16 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,757790000,750070000 "Liquid-DSP - Threads: 16 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,695800000,676010000 "Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,41548000,41499000 "Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,80680000,81117000 "Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,130420000,131280000 "Liquid-DSP - Threads: 16 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,185450000,196230000 "Memcached - Set To Get Ratio: 1:10 (Ops/sec)",HIB,3279849.87,3183290.59 "Memcached - Set To Get Ratio: 1:100 (Ops/sec)",HIB,3016454.9,3059379.28 "DuckDB - Benchmark: IMDB (sec)",LIB,115.408, "DuckDB - Benchmark: TPC-H Parquet (sec)",LIB,97.820, "TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,17.01,17.09 "TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,17.49,17.5 "TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,17.81,17.95 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,8.4527,8.4551 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,586.6719,589.1531 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (items/sec)",HIB,7.7535,7.7442 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (ms/batch)",LIB,128.9697,129.1244 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,222.916,223.3921 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,22.4104,22.3515 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,87.647,89.1195 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,11.4028,11.2144 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,100.4053,99.5737 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,49.7154,50.1726 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream (items/sec)",HIB,56.1658,56.4406 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream (ms/batch)",LIB,17.7976,17.7105 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,30.4378,30.5986 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,164.2155,163.3215 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (items/sec)",HIB,21.1919,21.1846 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,47.1806,47.1966 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,109.1421,109.0587 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,45.7934,45.8118 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream (items/sec)",HIB,79.1508,79.3733 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream (ms/batch)",LIB,12.6294,12.5944 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,712.3593,713.3158 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,7.0052,6.9947 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,349.6151,355.4745 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,2.8555,2.8079 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,52.3238,52.4969 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,95.4789,95.2027 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream (items/sec)",HIB,45.3071,45.2474 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream (ms/batch)",LIB,22.0647,22.0939 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,9.656,9.679 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,511.3289,511.1198 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream (items/sec)",HIB,8.145,8.1485 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream (ms/batch)",LIB,122.7701,122.7176 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,108.1187,108.0654 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,46.1862,46.2101 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (items/sec)",HIB,78.9909,79.0416 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (ms/batch)",LIB,12.6553,12.6469 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,50.9696,50.8618 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,98.0783,98.2865 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,45.4754,44.0455 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,21.986,22.6997 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,69.7199,69.0868 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,71.6364,72.2413 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (items/sec)",HIB,55.415,54.9374 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (ms/batch)",LIB,18.0424,18.1991 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,10.4405,10.3248 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,472.6798,479.6106 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (items/sec)",HIB,9.7413,9.6372 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (ms/batch)",LIB,102.6438,103.7525 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,114.5198,114.2856 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,43.6378,43.6626 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,50.7825,49.3977 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,19.6842,20.2367 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,34.6065,34.5555 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,144.1229,144.3669 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (items/sec)",HIB,28.2718,28.1161 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,35.367,35.5633 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,8.4541,8.3633 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,588.3009,593.639 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (items/sec)",HIB,7.754,7.7181 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,128.9608,129.5604 "Stress-NG - Test: Hash (Bogo Ops/s)",HIB,2294409.16,2304545.32 "Stress-NG - Test: Pipe (Bogo Ops/s)",HIB,7171062.72,7160556.83 "Stress-NG - Test: Poll (Bogo Ops/s)",HIB,1241130.3,1217218.91 "Stress-NG - Test: Zlib (Bogo Ops/s)",HIB,1130.39,1129.89 "Stress-NG - Test: Cloning (Bogo Ops/s)",HIB,860.48,865.39 "Stress-NG - Test: Pthread (Bogo Ops/s)",HIB,186367.1,186386.61 "Stress-NG - Test: AVL Tree (Bogo Ops/s)",HIB,81.66,82.1 "Stress-NG - Test: AVX-512 VNNI (Bogo Ops/s)",HIB,1228899.23,1229104.91 "Stress-NG - Test: Floating Point (Bogo Ops/s)",HIB,4377.45,4412.33 "Stress-NG - Test: Matrix 3D Math (Bogo Ops/s)",HIB,1401.51,1418.21 "Stress-NG - Test: Vector Shuffle (Bogo Ops/s)",HIB,9447.65,9457.69 "Stress-NG - Test: Mixed Scheduler (Bogo Ops/s)",HIB,10186.26,10290.81 "Stress-NG - Test: Wide Vector Math (Bogo Ops/s)",HIB,484455.75,484394.85 "Stress-NG - Test: Fused Multiply-Add (Bogo Ops/s)",HIB,16384409.66,16391410.53 "Stress-NG - Test: Vector Floating Point (Bogo Ops/s)",HIB,19538.35,19468.51 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,10.24,10.54 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,2.98,3.34 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,2.38,2.41 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,2.24,2.27 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,2.54,2.6 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,4.87,4.91 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,0.75,0.76 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,7.77,7.73 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,37.31,36.62 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,5.52,5.5 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,4.96,5.14 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,12.77,13.15 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,16.64,17.59 "NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,6.86,6.99 "NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,5.98,6.05 "NCNN - Target: CPU - Model: vision_transformer (ms)",LIB,100.28,95.33 "NCNN - Target: CPU - Model: FastestDet (ms)",LIB,3,3.09 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,112.43,112.12 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,316.24,316.35 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,156.02,156.07 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,1237.27,1237.36 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,385.7,385.91 "Apache Cassandra - Test: Writes (Op/s)",HIB,123080,122667 "nginx - Connections: 100 (Reqs/sec)",HIB,108258.46,107751.55 "nginx - Connections: 200 (Reqs/sec)",HIB,102547.95,102479.68 "nginx - Connections: 500 (Reqs/sec)",HIB,89266.33,88913.24 "nginx - Connections: 1000 (Reqs/sec)",HIB,82318.98,82032.62 "Apache HTTP Server - Concurrent Requests: 100 (Reqs/sec)",HIB,148966.44,145590.45 "Apache HTTP Server - Concurrent Requests: 200 (Reqs/sec)",HIB,140860.12,140213.08 "Apache HTTP Server - Concurrent Requests: 500 (Reqs/sec)",HIB,119690.62,121041.48 "Apache HTTP Server - Concurrent Requests: 1000 (Reqs/sec)",HIB,120445.38,119665.35 "Whisper.cpp - Model: ggml-base.en - Input: 2016 State of the Union (sec)",LIB,244.72794,246.69041 "Whisper.cpp - Model: ggml-small.en - Input: 2016 State of the Union (sec)",LIB,820.19569,818.91356 "Whisper.cpp - Model: ggml-medium.en - Input: 2016 State of the Union (sec)",LIB,2723.0535,2736.77075 "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,215292,215193 "QMCPACK - Input: H4_ae (Execution Time - sec)",LIB,39.88,40.51 "QMCPACK - Input: Li2_STO_ae (Execution Time - sec)",LIB,445.38,445.23 "QMCPACK - Input: LiH_ae_MSD (Execution Time - sec)",LIB,201.74,202.34 "QMCPACK - Input: simple-H2O (Execution Time - sec)",LIB,43.891,44.358 "QMCPACK - Input: O_ae_pyscf_UHF (Execution Time - sec)",LIB,314.45,313.84 "QMCPACK - Input: FeCO6_b3lyp_gms (Execution Time - sec)",LIB,341.81,338.6