r5.4xlarge

amazon testing on Amazon Linux 2023.4.20240401 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 2404107-NE-R54XLARGE08
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Result
Identifier
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Performance Per
Dollar
Date
Run
  Test
  Duration
r5.4xlarge
April 10
  1 Day, 4 Hours, 57 Minutes
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r5.4xlarge, "Stream 2013-01-17 - Type: Copy", Higher Results Are Better "r5.4xlarge",85000.8,84826.6,84619.8,84450.1,84620.5 "Stream 2013-01-17 - Type: Scale", Higher Results Are Better "r5.4xlarge",64952.3,64352.9,64557.7,64377.2,64254.7 "Stream 2013-01-17 - Type: Triad", Higher Results Are Better "r5.4xlarge",71774.8,71621.9,71352.4,71005.6,71132.1 "Stream 2013-01-17 - Type: Add", Higher Results Are Better "r5.4xlarge",71745.8,71523.8,71502.4,71233.5,71349 "Intel Memory Latency Checker 3.10 - Test: Idle Latency", Lower Results Are Better "r5.4xlarge",90.4,89.6,90 "Intel Memory Latency Checker 3.10 - Test: Max Bandwidth - All Reads", Higher Results Are Better "r5.4xlarge",91534.92,91037.22,91074.81 "Intel Memory Latency Checker 3.10 - Test: Max Bandwidth - 3:1 Reads-Writes", Higher Results Are Better "r5.4xlarge",96925.48,95331.99,96798.16 "Intel Memory Latency Checker 3.10 - Test: Max Bandwidth - 2:1 Reads-Writes", Higher Results Are Better "r5.4xlarge",96103.6,96169.46,96476.49 "Intel Memory Latency Checker 3.10 - Test: Max Bandwidth - 1:1 Reads-Writes", Higher Results Are Better "r5.4xlarge",96619.11,96803.61,97607.27 "Intel Memory Latency Checker 3.10 - Test: Max Bandwidth - Stream-Triad Like", Higher Results Are Better "r5.4xlarge",89253.42,88994.44,89778.43 "Intel Memory Latency Checker 3.10 - Test: Peak Injection Bandwidth - All Reads", Higher Results Are Better "r5.4xlarge",90912.7,90367.1,91227.7 "Intel Memory Latency Checker 3.10 - Test: Peak Injection Bandwidth - 3:1 Reads-Writes", Higher Results Are Better "r5.4xlarge",94837.4,94348.3,95486.1 "Intel Memory Latency Checker 3.10 - Test: Peak Injection Bandwidth - 2:1 Reads-Writes", Higher Results Are Better "r5.4xlarge",92396.1,92898.6,93161.4 "Intel Memory Latency Checker 3.10 - Test: Peak Injection Bandwidth - 1:1 Reads-Writes", Higher Results Are Better "r5.4xlarge",85995.3,86766.2,86751.9 "Intel Memory Latency Checker 3.10 - Test: Peak Injection Bandwidth - Stream-Triad Like", Higher Results Are Better "r5.4xlarge",85643.2,85763.9,85874.7 "CacheBench - Test: Read", Higher Results Are Better "r5.4xlarge",5898.258071,5902.952444,5903.059051 "CacheBench - Test: Write", Higher Results Are Better "r5.4xlarge",40367.10312,40165.08236,40125.47098 "CacheBench - Test: Read / Modify / Write", Higher Results Are Better "r5.4xlarge",67603.518627,67567.012827,68301.409262 "GNU GMP GMPbench 6.2.1 - ", Higher Results Are Better "r5.4xlarge", "Zstd Compression 1.5.4 - Compression Level: 3 - Compression Speed", Higher Results Are Better "r5.4xlarge",1268.4,1278.4,1273.8 "Zstd Compression 1.5.4 - Compression Level: 3 - Decompression Speed", Higher Results Are Better "r5.4xlarge",777,778.2,778.4 "Zstd Compression 1.5.4 - Compression Level: 8 - Compression Speed", Higher Results Are Better "r5.4xlarge",324,321.9,322.5 "Zstd Compression 1.5.4 - Compression Level: 8 - Decompression Speed", Higher Results Are Better "r5.4xlarge",816.3,819.3,817.4 "Zstd Compression 1.5.4 - Compression Level: 12 - Compression Speed", Higher Results Are Better "r5.4xlarge",124.2,130.2,125.8 "Zstd Compression 1.5.4 - Compression Level: 12 - Decompression Speed", Higher Results Are Better "r5.4xlarge",783.3,780,781.3 "Zstd Compression 1.5.4 - Compression Level: 19 - Compression Speed", Higher Results Are Better "r5.4xlarge",10.4,10.3,10.3 "Zstd Compression 1.5.4 - Compression Level: 19 - Decompression Speed", Higher Results Are Better "r5.4xlarge",668.9,671.1,673.1 "Zstd Compression 1.5.4 - Compression Level: 3, Long Mode - Compression Speed", Higher Results Are Better "r5.4xlarge",685.9,682.1,676.8 "Zstd Compression 1.5.4 - Compression Level: 3, Long Mode - Decompression Speed", Higher Results Are Better "r5.4xlarge",806.6,808.8,807.3 "Zstd Compression 1.5.4 - Compression Level: 8, Long Mode - Compression Speed", Higher Results Are Better "r5.4xlarge",342,342.7,341.8 "Zstd Compression 1.5.4 - Compression Level: 8, Long Mode - Decompression Speed", Higher Results Are Better "r5.4xlarge",828.5,825.6,825.7 "Zstd Compression 1.5.4 - Compression Level: 19, Long Mode - Compression Speed", Higher Results Are Better "r5.4xlarge",5.39,5.43,5.28 "Zstd Compression 1.5.4 - Compression Level: 19, Long Mode - Decompression Speed", Higher Results Are Better "r5.4xlarge",650.6,651.4,648.9 "LZ4 Compression 1.9.4 - Compression Level: 1 - Compression Speed", Higher Results Are Better "r5.4xlarge",431.23,430.88,431.11 "LZ4 Compression 1.9.4 - Compression Level: 1 - Decompression Speed", Higher Results Are Better "r5.4xlarge",2524.4,2522.7,2518.6 "LZ4 Compression 1.9.4 - Compression Level: 3 - Compression Speed", Higher Results Are Better "r5.4xlarge",70.71,70.78,70.81 "LZ4 Compression 1.9.4 - Compression Level: 3 - Decompression Speed", Higher Results Are Better "r5.4xlarge",2354.7,2354.2,2355.2 "LZ4 Compression 1.9.4 - Compression Level: 9 - Compression Speed", Higher Results Are Better "r5.4xlarge",24.59,24.59,24.58 "LZ4 Compression 1.9.4 - Compression Level: 9 - Decompression Speed", Higher Results Are Better "r5.4xlarge",2466.1,2462.2,2466.3 "OpenSSL 3.1 - Algorithm: SHA256", Higher Results Are Better "r5.4xlarge",2146810330,2147324260,2148368740 "OpenSSL 3.1 - Algorithm: SHA512", Higher Results Are Better "r5.4xlarge",2398160980,2396141990,2396892180 "OpenSSL 3.1 - Algorithm: RSA4096", Higher Results Are Better "r5.4xlarge",1881.3,1880.4,1891.4 "OpenSSL 3.1 - Algorithm: RSA4096", Higher Results Are Better "r5.4xlarge",124475.1,124504.1,124486.2 "OpenSSL 3.1 - Algorithm: ChaCha20", Higher Results Are Better "r5.4xlarge",34789184850,34830462160,34796909090 "OpenSSL 3.1 - Algorithm: AES-128-GCM", Higher Results Are Better "r5.4xlarge",37952987410,37961300920,37933605680 "OpenSSL 3.1 - Algorithm: AES-256-GCM", Higher Results Are Better "r5.4xlarge",27676151530,27673967550,27671342280 "OpenSSL 3.1 - Algorithm: ChaCha20-Poly1305", Higher Results Are Better "r5.4xlarge",17878740450,17896464930,17885908170 "Botan 2.17.3 - Test: KASUMI", Higher Results Are Better "r5.4xlarge",68.315,68.343,68.342 "Botan 2.17.3 - Test: KASUMI - Decrypt", Higher Results Are Better "r5.4xlarge",66.851,66.893,66.918 "Botan 2.17.3 - Test: AES-256", Higher Results Are Better "r5.4xlarge",2889.222,2887.002,2886.296 "Botan 2.17.3 - Test: AES-256 - Decrypt", Higher Results Are Better "r5.4xlarge",2892.663,2892.251,2892.969 "Botan 2.17.3 - Test: Twofish", Higher Results Are Better "r5.4xlarge",246.71,246.756,247.023 "Botan 2.17.3 - Test: Twofish - Decrypt", Higher Results Are Better "r5.4xlarge",245.622,245.63,245.904 "Botan 2.17.3 - Test: Blowfish", Higher Results Are Better "r5.4xlarge",300.308,300.764,300.895 "Botan 2.17.3 - Test: Blowfish - Decrypt", Higher Results Are Better "r5.4xlarge",296.573,296.883,297.033 "Botan 2.17.3 - Test: CAST-256", Higher Results Are Better "r5.4xlarge",102.719,102.474,102.706 "Botan 2.17.3 - Test: CAST-256 - Decrypt", Higher Results Are Better "r5.4xlarge",102.687,102.67,102.711 "Botan 2.17.3 - Test: ChaCha20Poly1305", Higher Results Are Better "r5.4xlarge",566.326,563.998,564.972 "Botan 2.17.3 - Test: ChaCha20Poly1305 - Decrypt", Higher Results Are Better "r5.4xlarge",562.193,559.426,559.796 "x264 2022-02-22 - Video Input: Bosphorus 4K", Higher Results Are Better "r5.4xlarge",16.09,16.03,16.12 "x264 2022-02-22 - Video Input: Bosphorus 1080p", Higher Results Are Better "r5.4xlarge",68.52,68.39,68.39 "x265 3.6 - Video Input: Bosphorus 4K", Higher Results Are Better "r5.4xlarge",7.84,7.56,7.71 "x265 3.6 - Video Input: Bosphorus 1080p", Higher Results Are Better "r5.4xlarge",36.73,36.95,37.52 "PyPerformance 1.0.0 - Benchmark: go", Lower Results Are Better "r5.4xlarge",388,388,388 "PyPerformance 1.0.0 - Benchmark: 2to3", Lower Results Are Better "r5.4xlarge",467,466,467 "PyPerformance 1.0.0 - Benchmark: chaos", Lower Results Are Better "r5.4xlarge",174,174,174 "PyPerformance 1.0.0 - Benchmark: float", Lower Results Are Better "r5.4xlarge",186,186,188 "PyPerformance 1.0.0 - Benchmark: nbody", Lower Results Are Better "r5.4xlarge",221,221,221 "PyPerformance 1.0.0 - Benchmark: pathlib", Lower Results Are Better "r5.4xlarge",26.1,26,26.1 "PyPerformance 1.0.0 - Benchmark: raytrace", Lower Results Are Better "r5.4xlarge",765,767,769 "PyPerformance 1.0.0 - Benchmark: json_loads", Lower Results Are Better "r5.4xlarge",36.9,36.9,36.9 "PyPerformance 1.0.0 - Benchmark: crypto_pyaes", Lower Results Are Better "r5.4xlarge",178,178,178 "PyPerformance 1.0.0 - Benchmark: regex_compile", Lower Results Are Better "r5.4xlarge",257,257,257 "PyPerformance 1.0.0 - Benchmark: python_startup", Lower Results Are Better "r5.4xlarge",12.1,12,12 "PyPerformance 1.0.0 - Benchmark: django_template", Lower Results Are Better "r5.4xlarge",71.8,71.8,71.7 "PyPerformance 1.0.0 - Benchmark: pickle_pure_python", Lower Results Are Better "r5.4xlarge",679,678,680 "CppPerformanceBenchmarks 9 - Test: Atol", Lower Results Are Better "r5.4xlarge",89.094,89.257,89.083 "CppPerformanceBenchmarks 9 - Test: Ctype", Lower Results Are Better "r5.4xlarge",40.434,40.428,40.43 "CppPerformanceBenchmarks 9 - Test: Math Library", Lower Results Are Better "r5.4xlarge",413.303,414.128,413.583 "CppPerformanceBenchmarks 9 - Test: Random Numbers", Lower Results Are Better "r5.4xlarge",1283.267,1283.192,1283.032 "CppPerformanceBenchmarks 9 - Test: Stepanov Vector", Lower Results Are Better "r5.4xlarge",120.902,120.891,120.996 "CppPerformanceBenchmarks 9 - Test: Function Objects", Lower Results Are Better "r5.4xlarge",18.987,18.985,18.986 "CppPerformanceBenchmarks 9 - Test: Stepanov Abstraction", Lower Results Are Better "r5.4xlarge",47.8,47.806,47.803 "GraphicsMagick 1.3.43 - Operation: Swirl", Higher Results Are Better "r5.4xlarge",64,64,64 "GraphicsMagick 1.3.43 - Operation: Rotate", Higher Results Are Better "r5.4xlarge",117,116,115 "GraphicsMagick 1.3.43 - Operation: Sharpen", Higher Results Are Better "r5.4xlarge",20,20,20 "GraphicsMagick 1.3.43 - Operation: Enhanced", Higher Results Are Better "r5.4xlarge",27,27,27 "GraphicsMagick 1.3.43 - Operation: Resizing", Higher Results Are Better "r5.4xlarge",134,135,135 "GraphicsMagick 1.3.43 - Operation: Noise-Gaussian", Higher Results Are Better "r5.4xlarge",35,35,35 "GraphicsMagick 1.3.43 - Operation: HWB Color Space", Higher Results Are Better "r5.4xlarge",131,131,131 "Smallpt 1.0 - Global Illumination Renderer; 128 Samples", Lower Results Are Better "r5.4xlarge",15.588,15.532,15.426 "Stockfish 16.1 - Chess Benchmark", Higher Results Are Better "r5.4xlarge",9780310,9697987,9452356 "C-Ray 1.1 - Total Time - 4K, 16 Rays Per Pixel", Lower Results Are Better "r5.4xlarge",109.16,109.166,109.205 "SciMark 2.0 - Computational Test: Composite", Higher Results Are Better "r5.4xlarge",491.16,495.42,492.15 "SciMark 2.0 - Computational Test: Monte Carlo", Higher Results Are Better "r5.4xlarge",106.71,106.73,106.7 "SciMark 2.0 - Computational Test: Fast Fourier Transform", Higher Results Are Better "r5.4xlarge",218.28,238.06,222.26 "SciMark 2.0 - Computational Test: Sparse Matrix Multiply", Higher Results Are Better "r5.4xlarge",561.01,561.49,561.26 "SciMark 2.0 - Computational Test: Dense LU Matrix Factorization", Higher Results Are Better "r5.4xlarge",693.83,694.73,694.62 "SciMark 2.0 - Computational Test: Jacobi Successive Over-Relaxation", Higher Results Are Better "r5.4xlarge",875.96,876.11,875.88 "Renaissance 0.14 - Test: Scala Dotty", Lower Results Are Better "r5.4xlarge", "Renaissance 0.14 - Test: Random Forest", Lower Results Are Better "r5.4xlarge", "Renaissance 0.14 - Test: ALS Movie Lens", Lower Results Are Better "r5.4xlarge", "Renaissance 0.14 - Test: Apache Spark ALS", Lower Results Are Better "r5.4xlarge", "Renaissance 0.14 - Test: Apache Spark Bayes", Lower Results Are Better "r5.4xlarge", "Renaissance 0.14 - Test: Savina Reactors.IO", Lower Results Are Better "r5.4xlarge", "Renaissance 0.14 - Test: Apache Spark PageRank", Lower Results Are Better "r5.4xlarge", "Renaissance 0.14 - Test: Finagle HTTP Requests", Lower Results Are Better "r5.4xlarge", "Renaissance 0.14 - Test: In-Memory Database Shootout", Lower Results Are Better "r5.4xlarge", "Renaissance 0.14 - Test: Akka Unbalanced Cobwebbed Tree", Lower Results Are Better "r5.4xlarge", "Renaissance 0.14 - Test: Genetic Algorithm Using Jenetics + Futures", Lower Results Are Better "r5.4xlarge", "DaCapo Benchmark 23.11 - Java Test: Jython", Lower Results Are Better "r5.4xlarge", "DaCapo Benchmark 23.11 - Java Test: Eclipse", Lower Results Are Better "r5.4xlarge", "DaCapo Benchmark 23.11 - Java Test: GraphChi", Lower Results Are Better "r5.4xlarge", "DaCapo Benchmark 23.11 - Java Test: Tradesoap", Lower Results Are Better "r5.4xlarge", "DaCapo Benchmark 23.11 - Java Test: Tradebeans", Lower Results Are Better "r5.4xlarge", "DaCapo Benchmark 23.11 - Java Test: Spring Boot", Lower Results Are Better "r5.4xlarge", "DaCapo Benchmark 23.11 - Java Test: Apache Kafka", Lower Results Are Better "r5.4xlarge", "DaCapo Benchmark 23.11 - Java Test: Apache Tomcat", Lower Results Are Better "r5.4xlarge", "DaCapo Benchmark 23.11 - Java Test: jMonkeyEngine", Lower Results Are Better "r5.4xlarge", "DaCapo Benchmark 23.11 - Java Test: Apache Cassandra", Lower Results Are Better "r5.4xlarge", "DaCapo Benchmark 23.11 - Java Test: Apache Xalan XSLT", Lower Results Are Better "r5.4xlarge", "DaCapo Benchmark 23.11 - Java Test: Batik SVG Toolkit", Lower Results Are Better "r5.4xlarge", "DaCapo Benchmark 23.11 - Java Test: H2 Database Engine", Lower Results Are Better "r5.4xlarge", "DaCapo Benchmark 23.11 - Java Test: FOP Print Formatter", Lower Results Are Better "r5.4xlarge", "DaCapo Benchmark 23.11 - Java Test: PMD Source Code Analyzer", Lower Results Are Better "r5.4xlarge", "DaCapo Benchmark 23.11 - Java Test: Apache Lucene Search Index", Lower Results Are Better "r5.4xlarge", "DaCapo Benchmark 23.11 - Java Test: Apache Lucene Search Engine", Lower Results Are Better "r5.4xlarge", "DaCapo Benchmark 23.11 - Java Test: Avrora AVR Simulation Framework", Lower Results Are Better "r5.4xlarge", "DaCapo Benchmark 23.11 - Java Test: BioJava Biological Data Framework", Lower Results Are Better "r5.4xlarge", "DaCapo Benchmark 23.11 - Java Test: Zxing 1D/2D Barcode Image Processing", Lower Results Are Better "r5.4xlarge", "DaCapo Benchmark 23.11 - Java Test: H2O In-Memory Platform For Machine Learning", Lower Results Are Better "r5.4xlarge", "BlogBench 1.1 - Test: Read", Higher Results Are Better "r5.4xlarge",2468259,2398640,2364546 "BlogBench 1.1 - Test: Write", Higher Results Are Better "r5.4xlarge",10677,10610,10419 "nginx 1.23.2 - Connections: 1", Higher Results Are Better "r5.4xlarge", "nginx 1.23.2 - Connections: 20", Higher Results Are Better "r5.4xlarge",40105.56,40067.4,39954.19 "nginx 1.23.2 - Connections: 100", Higher Results Are Better "r5.4xlarge",45721.05,45643.01,45550.94 "nginx 1.23.2 - Connections: 200", Higher Results Are Better "r5.4xlarge",46032.52,46136.09,45888.6 "nginx 1.23.2 - Connections: 500", Higher Results Are Better "r5.4xlarge",44511.1,44327.73,44299.33 "nginx 1.23.2 - Connections: 1000", Higher Results Are Better "r5.4xlarge",42801.25,42829.17,42956.74 "nginx 1.23.2 - Connections: 4000", Higher Results Are Better "r5.4xlarge",41312.59,40474.02,40974.18 "Redis 7.0.12 + memtier_benchmark 2.0 - Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:1", Higher Results Are Better "r5.4xlarge",1611359.12,1573423.39,1573666.74 "Redis 7.0.12 + memtier_benchmark 2.0 - Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5", Higher Results Are Better "r5.4xlarge",1708579.54,1686634.93,1694577.01 "Redis 7.0.12 + memtier_benchmark 2.0 - Protocol: Redis - Clients: 50 - Set To Get Ratio: 5:1", Higher Results Are Better "r5.4xlarge",1455658.87,1436410.62,1438091.41 "Redis 7.0.12 + memtier_benchmark 2.0 - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:1", Higher Results Are Better "r5.4xlarge",1459972.14,1466961.67,1477982.32 "Redis 7.0.12 + memtier_benchmark 2.0 - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5", Higher Results Are Better "r5.4xlarge",1601330.55,1579088.93,1619539.74 "Redis 7.0.12 + memtier_benchmark 2.0 - Protocol: Redis - Clients: 100 - Set To Get Ratio: 5:1", Higher Results Are Better "r5.4xlarge",1431029.92,1395693.66,1420171.37 "Redis 7.0.12 + memtier_benchmark 2.0 - Protocol: Redis - Clients: 50 - Set To Get Ratio: 10:1", Higher Results Are Better "r5.4xlarge",1386900.19,1358199.31,1388858.35 "Redis 7.0.12 + memtier_benchmark 2.0 - Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10", Higher Results Are Better "r5.4xlarge",1550390.74,1554954.91,1518130.09 "Redis 7.0.12 + memtier_benchmark 2.0 - Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:1", Higher Results Are Better "r5.4xlarge",1321786.92,1350699.2,1342972.02 "Redis 7.0.12 + memtier_benchmark 2.0 - Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:5", Higher Results Are Better "r5.4xlarge",1399403.99,1433169.45,1398160.47 "Redis 7.0.12 + memtier_benchmark 2.0 - Protocol: Redis - Clients: 500 - Set To Get Ratio: 5:1", Higher Results Are Better "r5.4xlarge",1244617.63,1223548.45,1250911.21 "Redis 7.0.12 + memtier_benchmark 2.0 - Protocol: Redis - Clients: 100 - Set To Get Ratio: 10:1", Higher Results Are Better "r5.4xlarge",1372747.49,1340683.4,1337161.46 "Redis 7.0.12 + memtier_benchmark 2.0 - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10", Higher Results Are Better "r5.4xlarge",1502610.84,1514056.93,1505664.72 "Redis 7.0.12 + memtier_benchmark 2.0 - Protocol: Redis - Clients: 500 - Set To Get Ratio: 10:1", Higher Results Are Better "r5.4xlarge",1212183.18,1247850.82,1238435.09 "Redis 7.0.12 + memtier_benchmark 2.0 - Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:10", Higher Results Are Better "r5.4xlarge",1382067.68,1403151.55,1424078.87 "Apache Cassandra 4.1.3 - Test: Writes", Higher Results Are Better "r5.4xlarge", "Apache Cassandra 4.1.3 - Test: Mixed 1:1", Higher Results Are Better "r5.4xlarge", "Apache Cassandra 4.1.3 - Test: Mixed 1:3", Higher Results Are Better "r5.4xlarge", "libjpeg-turbo tjbench 2.1.0 - Test: Decompression Throughput", Higher Results Are Better "r5.4xlarge",139.563367,139.811426,139.012156 "VVenC 1.11 - Video Input: Bosphorus 4K - Video Preset: Fast", Higher Results Are Better "r5.4xlarge",2.345,2.343,2.334 "VVenC 1.11 - Video Input: Bosphorus 4K - Video Preset: Faster", Higher Results Are Better "r5.4xlarge",5.517,5.534,5.518 "VVenC 1.11 - Video Input: Bosphorus 1080p - Video Preset: Fast", Higher Results Are Better "r5.4xlarge",7.533,7.502,7.503 "VVenC 1.11 - Video Input: Bosphorus 1080p - Video Preset: Faster", Higher Results Are Better "r5.4xlarge",19.074,19.046,19.031 "NCNN 20230517 - Target: CPU - Model: mobilenet", Lower Results Are Better "r5.4xlarge",14.15,14.99,14.19,15.09,15.05,15.11,14.27,14.59,14.98,14.32,14.23,15.17,14.23,14.51,14.38 "NCNN 20230517 - Target: CPU-v2-v2 - Model: mobilenet-v2", Lower Results Are Better "r5.4xlarge",4.27,4.29,4.29,4.28,4.26,4.28,4.26,4.27,4.31,4.27,4.26,4.29,4.34,4.28,4.29 "NCNN 20230517 - Target: CPU-v3-v3 - Model: mobilenet-v3", Lower Results Are Better "r5.4xlarge",4.35,4.35,4.41,4.37,4.35,4.35,4.36,4.32,4.38,4.34,4.36,4.34,4.47,4.34,4.38 "NCNN 20230517 - Target: CPU - Model: shufflenet-v2", Lower Results Are Better "r5.4xlarge",4.5,4.37,4.39,4.4,4.57,4.37,4.36,4.4,4.37,4.38,4.36,4.4,4.4,4.35,4.38 "NCNN 20230517 - Target: CPU - Model: mnasnet", Lower Results Are Better "r5.4xlarge",4.03,3.96,4.04,3.97,4.21,3.97,3.96,3.95,4.09,4.04,3.97,4.39,4.08,3.98,4.01 "NCNN 20230517 - Target: CPU - Model: efficientnet-b0", Lower Results Are Better "r5.4xlarge",5.76,5.67,5.74,5.68,5.69,5.68,5.7,5.65,5.75,5.7,5.68,6.02,5.78,5.7,5.7 "NCNN 20230517 - Target: CPU - Model: blazeface", Lower Results Are Better "r5.4xlarge",1.56,1.56,1.55,1.55,1.55,1.56,1.59,1.53,1.54,1.57,1.55,1.58,1.56,1.55,1.57 "NCNN 20230517 - Target: CPU - Model: googlenet", Lower Results Are Better "r5.4xlarge",10.4,10.31,10.32,10.39,10.38,10.34,10.32,10.31,10.42,10.53,10.43,10.84,10.38,10.4,10.99 "NCNN 20230517 - Target: CPU - Model: vgg16", Lower Results Are Better "r5.4xlarge",35.46,36.68,36.84,36.55,36.52,36.43,36.8,36.18,37.33,35.51,35.7,36.57,35.76,35.46,36.57 "NCNN 20230517 - Target: CPU - Model: resnet18", Lower Results Are Better "r5.4xlarge",6.84,6.86,6.81,6.83,6.83,6.84,6.82,6.83,6.89,6.97,6.85,7.05,6.85,6.85,7.06 "NCNN 20230517 - Target: CPU - Model: alexnet", Lower Results Are Better "r5.4xlarge",4.86,4.85,4.86,4.89,4.87,4.87,4.87,4.91,4.91,4.99,4.92,5.4,4.89,4.91,5.31 "NCNN 20230517 - Target: CPU - Model: resnet50", Lower Results Are Better "r5.4xlarge",14.09,14.22,14.13,14.54,14.22,14.25,14.28,14.23,14.3,13.86,14.65,14.3,14.15,14.21,14.24 "NCNN 20230517 - Target: CPUv2-yolov3v2-yolov3 - Model: mobilenetv2-yolov3", Lower Results Are Better "r5.4xlarge",14.15,14.99,14.19,15.09,15.05,15.11,14.27,14.59,14.98,14.32,14.23,15.17,14.23,14.51,14.38 "NCNN 20230517 - Target: CPU - Model: yolov4-tiny", Lower Results Are Better "r5.4xlarge",25.66,26.49,25.95,25.52,25.5,25.53,25.32,25.06,25.7,25.35,25.63,25.53,25.26,25.54,25.63 "NCNN 20230517 - Target: CPU - Model: squeezenet_ssd", Lower Results Are Better "r5.4xlarge",10.68,11.01,10.68,11.11,11,10.96,10.83,10.78,11.22,10.57,10.7,11.05,10.7,10.71,10.74 "NCNN 20230517 - Target: CPU - Model: regnety_400m", Lower Results Are Better "r5.4xlarge",12.96,12.82,12.7,12.7,12.82,12.82,13.16,12.67,12.78,12.74,12.81,12.83,12.8,12.79,12.81 "NCNN 20230517 - Target: CPU - Model: vision_transformer", Lower Results Are Better "r5.4xlarge",92.7,93.57,92.9,92.88,94.03,93.19,93.83,92.94,93.15,93.2,92.5,93.95,92.72,93.5,93.43 "NCNN 20230517 - Target: CPU - Model: FastestDet", Lower Results Are Better "r5.4xlarge",5.17,5.67,5.64,5.11,5.76,5.17,5.16,5.1,5.24,5.18,5.13,5.18,5.16,5.2,5.61 "NCNN 20230517 - Target: Vulkan GPU - Model: mobilenet", Lower Results Are Better "r5.4xlarge",15.07,14.18,15.18,14.1,14.46,14.46,15.05,14.87,14.46,14.81,15.03,14.95,15.49,14.72,15 "NCNN 20230517 - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2", Lower Results Are Better "r5.4xlarge",4.3,4.3,4.29,4.3,4.29,4.29,4.27,4.4,4.34,4.29,4.32,4.32,4.35,4.52,4.39 "NCNN 20230517 - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3", Lower Results Are Better "r5.4xlarge",4.36,4.38,4.38,4.39,4.36,4.38,4.37,4.4,4.43,4.38,4.42,4.45,4.45,4.42,4.51 "NCNN 20230517 - Target: Vulkan GPU - Model: shufflenet-v2", Lower Results Are Better "r5.4xlarge",4.36,4.36,4.39,4.37,4.36,4.41,4.38,4.39,4.39,4.4,4.37,4.39,4.4,4.39,4.45 "NCNN 20230517 - Target: Vulkan GPU - Model: mnasnet", Lower Results Are Better "r5.4xlarge",4,4,4.04,4.01,4.03,4.02,4.04,4.02,4.05,4.01,4.03,4.02,4.12,4.03,4.09 "NCNN 20230517 - Target: Vulkan GPU - Model: efficientnet-b0", Lower Results Are Better "r5.4xlarge",5.72,5.74,5.78,5.72,5.82,5.69,5.74,5.74,5.75,5.68,5.76,5.77,5.79,6,5.81 "NCNN 20230517 - Target: Vulkan GPU - Model: blazeface", Lower Results Are Better "r5.4xlarge",1.58,1.57,1.58,1.58,1.58,1.56,1.57,1.57,1.57,1.57,1.57,1.58,1.59,1.58,1.6 "NCNN 20230517 - Target: Vulkan GPU - Model: googlenet", Lower Results Are Better "r5.4xlarge",10.88,10.48,10.56,10.45,10.66,10.46,10.59,10.79,10.56,10.75,10.56,10.85,10.67,10.84,10.56 "NCNN 20230517 - Target: Vulkan GPU - Model: vgg16", Lower Results Are Better "r5.4xlarge",36.81,35.8,36.84,36.27,36.19,36.34,36.2,36.65,35.6,36.73,36.73,37.07,35.58,36.56,36.9 "NCNN 20230517 - Target: Vulkan GPU - Model: resnet18", Lower Results Are Better "r5.4xlarge",7.1,6.91,6.96,6.87,6.9,6.85,6.93,7.15,6.91,7.08,6.94,7.18,6.95,7.08,6.92 "NCNN 20230517 - Target: Vulkan GPU - Model: alexnet", Lower Results Are Better "r5.4xlarge",5.33,5.08,5.02,5,5.03,5,5.01,5.35,5.04,5.71,5.04,5.37,5.05,5.45,5.01 "NCNN 20230517 - Target: Vulkan GPU - Model: resnet50", Lower Results Are Better "r5.4xlarge",14.41,14.28,14.42,13.86,14.81,14.31,14.38,14.45,14.4,14.23,14.4,14.32,15.44,14.83,14.31 "NCNN 20230517 - Target: Vulkan GPUv2-yolov3v2-yolov3 - Model: mobilenetv2-yolov3", Lower Results Are Better "r5.4xlarge",15.07,14.18,15.18,14.1,14.46,14.46,15.05,14.87,14.46,14.81,15.03,14.95,15.49,14.72,15 "NCNN 20230517 - Target: Vulkan GPU - Model: yolov4-tiny", Lower Results Are Better "r5.4xlarge",25.52,25.8,25.49,24.82,25.49,25.67,25.47,25.37,25.92,26.18,25.53,25.44,26.51,25.22,25.5 "NCNN 20230517 - Target: Vulkan GPU - Model: squeezenet_ssd", Lower Results Are Better "r5.4xlarge",11.11,10.57,11.18,10.52,10.88,10.61,11.18,11.09,11.08,10.98,11.18,11.08,11.81,10.9,11.13 "NCNN 20230517 - Target: Vulkan GPU - Model: regnety_400m", Lower Results Are Better "r5.4xlarge",13.38,12.87,13.04,12.88,13.03,12.83,12.96,13.26,12.98,12.85,12.86,12.89,13.1,12.76,12.92 "NCNN 20230517 - Target: Vulkan GPU - Model: vision_transformer", Lower Results Are Better "r5.4xlarge",93.09,92.74,92.82,92.64,92.43,94.29,92.5,93.33,93.47,93.5,92.65,93.03,93.3,92.65,93.2 "NCNN 20230517 - Target: Vulkan GPU - Model: FastestDet", Lower Results Are Better "r5.4xlarge",5.24,5.14,5.24,5.13,5.23,5.55,5.25,5.19,5.2,5.17,5.08,5.24,5.18,5.27,5.16 "libxsmm 2-1.17-3645 - M N K: 128", Higher Results Are Better "r5.4xlarge",309.1,309.8,308.7 "libxsmm 2-1.17-3645 - M N K: 256", Higher Results Are Better "r5.4xlarge",115.3,115.3,114.9 "libxsmm 2-1.17-3645 - M N K: 32", Higher Results Are Better "r5.4xlarge",179.7,180,177.8 "libxsmm 2-1.17-3645 - M N K: 64", Higher Results Are Better "r5.4xlarge",245.2,236.4,245.4 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 100", Lower Results Are Better "r5.4xlarge", "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 500", Lower Results Are Better "r5.4xlarge", "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 1000", Lower Results Are Better "r5.4xlarge", "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 2000", Lower Results Are Better "r5.4xlarge", "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 100", Lower Results Are Better "r5.4xlarge", "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 500", Lower Results Are Better "r5.4xlarge", "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 100", Lower Results Are Better "r5.4xlarge", "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 500", Lower Results Are Better "r5.4xlarge", "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 100", Lower Results Are Better "r5.4xlarge", "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 500", Lower Results Are Better "r5.4xlarge", "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 1000", Lower Results Are Better "r5.4xlarge", "Apache Spark 3.3 - Row Count: 10000000 - Partitions: 2000", Lower Results Are Better "r5.4xlarge", "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 1000", Lower Results Are Better "r5.4xlarge", "Apache Spark 3.3 - Row Count: 20000000 - Partitions: 2000", Lower Results Are Better "r5.4xlarge", "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 1000", Lower Results Are Better "r5.4xlarge", "Apache Spark 3.3 - Row Count: 40000000 - Partitions: 2000", Lower Results Are Better "r5.4xlarge", "ClickHouse 22.12.3.5 - 100M Rows Hits Dataset, First Run / Cold Cache", Higher Results Are Better "r5.4xlarge",148.85998564607,145.41645403917,146.76545417984 "ClickHouse 22.12.3.5 - 100M Rows Hits Dataset, Second Run", Higher Results Are Better "r5.4xlarge",156.691116895,154.37995521184,154.26096133383 "ClickHouse 22.12.3.5 - 100M Rows Hits Dataset, Third Run", Higher Results Are Better "r5.4xlarge",157.83747834327,155.93183872582,152.84052801314 "InfluxDB 1.8.2 - Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000", Higher Results Are Better "r5.4xlarge",893035.3,899793.5,901304.5 "InfluxDB 1.8.2 - Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000", Higher Results Are Better "r5.4xlarge",913119.8,914073.3,917395.3 "InfluxDB 1.8.2 - Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000", Higher Results Are Better "r5.4xlarge",915386,907421.1,910501.4