Benchmarks by Michael Larabel.
EM-RV1 RISC-V Compiler Notes: --build=riscv64-linux-gnu --disable-libitm --disable-libquadmath --disable-libquadmath-support --disable-multilib --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=riscv64-linux-gnu --program-prefix=riscv64-linux-gnu- --target=riscv64-linux-gnu --with-abi=lp64d --with-arch=rv64gc --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -vProcessor Notes: Scaling Governor: light-cpufreq ondemandPython Notes: Python 3.12.3
repeat risc-v Processor: rv64imafdcvsu @ 1.85GHz (4 Cores), Motherboard: Scaleway EM-RV1-C4M16S128-A, Memory: 16GB, Disk: 125GB Y2P128
OS: Ubuntu 24.04, Kernel: 5.10.113+ (riscv64), Compiler: GCC 13.2.0, File-System: ext4
Scaleway RISC-V OpenBenchmarking.org Phoronix Test Suite rv64imafdcvsu @ 1.85GHz (4 Cores) Scaleway EM-RV1-C4M16S128-A 16GB 125GB Y2P128 Ubuntu 24.04 5.10.113+ (riscv64) GCC 13.2.0 ext4 Processor Motherboard Memory Disk OS Kernel Compiler File-System Scaleway RISC-V Benchmarks System Logs - --build=riscv64-linux-gnu --disable-libitm --disable-libquadmath --disable-libquadmath-support --disable-multilib --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=riscv64-linux-gnu --program-prefix=riscv64-linux-gnu- --target=riscv64-linux-gnu --with-abi=lp64d --with-arch=rv64gc --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v - Scaling Governor: light-cpufreq ondemand - Python 3.12.3
EM-RV1 RISC-V vs. repeat risc-v Comparison Phoronix Test Suite Baseline +1.1% +1.1% +2.2% +2.2% +3.3% +3.3% +4.4% +4.4% 4.5% 3.7% 3.4% Q.1.L CPU - blazeface 3.8% 4K - 16 3.7% 3, Long Mode - Compression Speed 1e12 19, Long Mode - Compression Speed 3.1% D.R 2.7% P.B.S 2% WebP Image Encode NCNN C-Ray Zstd Compression Primesieve Zstd Compression 7-Zip Compression PHPBench EM-RV1 RISC-V repeat risc-v
WebP Image Encode OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.4 Encode Settings: Quality 100, Lossless EM-RV1 RISC-V repeat risc-v 0.0518 0.1036 0.1554 0.2072 0.259 SE +/- 0.00, N = 12 0.22 0.23 1. (CC) gcc options: -fvisibility=hidden -O2 -lm
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: blazeface repeat risc-v EM-RV1 RISC-V 4 8 12 16 20 SE +/- 0.09, N = 3 15.67 15.10 MIN: 15.36 / MAX: 26.85 MIN: 14.61 / MAX: 34.37 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
C-Ray OpenBenchmarking.org Seconds, Fewer Is Better C-Ray 2.0 Resolution: 4K - Rays Per Pixel: 16 repeat risc-v EM-RV1 RISC-V 1500 3000 4500 6000 7500 SE +/- 69.20, N = 3 6855.82 6609.23 1. (CC) gcc options: -lpthread -lm
Primesieve OpenBenchmarking.org Seconds, Fewer Is Better Primesieve 12.1 Length: 1e12 EM-RV1 RISC-V repeat risc-v 200 400 600 800 1000 SE +/- 8.84, N = 9 977.30 945.03 1. (CXX) g++ options: -O3
Zstd Compression This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 19, Long Mode - Compression Speed repeat risc-v EM-RV1 RISC-V 0.225 0.45 0.675 0.9 1.125 SE +/- 0.00, N = 3 0.97 1.00 1. (CC) gcc options: -O3 -pthread -lz
PHPBench PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, More Is Better PHPBench 0.8.1 PHP Benchmark Suite repeat risc-v EM-RV1 RISC-V 20K 40K 60K 80K 100K SE +/- 243.37, N = 3 77086 78658
C-Ray OpenBenchmarking.org Seconds, Fewer Is Better C-Ray 2.0 Resolution: 1080p - Rays Per Pixel: 16 EM-RV1 RISC-V repeat risc-v 400 800 1200 1600 2000 SE +/- 18.22, N = 3 1673.63 1647.02 1. (CC) gcc options: -lpthread -lm
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU-v3-v3 - Model: mobilenet-v3 repeat risc-v EM-RV1 RISC-V 20 40 60 80 100 SE +/- 0.19, N = 3 80.97 79.89 MIN: 79.77 / MAX: 208.63 MIN: 79.11 / MAX: 106.17 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: mnasnet repeat risc-v EM-RV1 RISC-V 20 40 60 80 100 SE +/- 0.25, N = 3 89.54 88.39 MIN: 89.04 / MAX: 100 MIN: 86.98 / MAX: 137.96 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenSSL OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.3 Algorithm: SHA256 repeat risc-v EM-RV1 RISC-V 30M 60M 90M 120M 150M SE +/- 437774.59, N = 3 147442960 149133520 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
Zstd Compression This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 12 - Compression Speed EM-RV1 RISC-V repeat risc-v 1.0845 2.169 3.2535 4.338 5.4225 SE +/- 0.01, N = 3 4.77 4.82 1. (CC) gcc options: -O3 -pthread -lz
srsRAN Project OpenBenchmarking.org Mbps, More Is Better srsRAN Project 23.10.1-20240325 Test: PDSCH Processor Benchmark, Throughput Thread EM-RV1 RISC-V repeat risc-v 3 6 9 12 15 SE +/- 0.03, N = 3 10.7 10.8 1. (CXX) g++ options: -O3 -fno-trapping-math -fno-math-errno -ldl
WebP Image Encode OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.4 Encode Settings: Quality 100 repeat risc-v EM-RV1 RISC-V 0.243 0.486 0.729 0.972 1.215 SE +/- 0.00, N = 3 1.07 1.08 1. (CC) gcc options: -fvisibility=hidden -O2 -lm
Smallpt Smallpt is a C++ global illumination renderer written in less than 100 lines of code. Global illumination is done via unbiased Monte Carlo path tracing and there is multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Smallpt 1.0 Global Illumination Renderer; 128 Samples repeat risc-v EM-RV1 RISC-V 30 60 90 120 150 SE +/- 0.18, N = 3 123.87 122.77 1. (CXX) g++ options: -fopenmp -O3
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: efficientnet-b0 repeat risc-v EM-RV1 RISC-V 40 80 120 160 200 SE +/- 0.34, N = 3 183.33 181.91 MIN: 180.75 / MAX: 196.67 MIN: 180.34 / MAX: 260.25 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: regnety_400m repeat risc-v EM-RV1 RISC-V 30 60 90 120 150 SE +/- 0.22, N = 3 115.75 114.86 MIN: 115.02 / MAX: 157.79 MIN: 113.98 / MAX: 172.43 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: resnet50 repeat risc-v EM-RV1 RISC-V 140 280 420 560 700 SE +/- 0.91, N = 3 639.01 634.85 MIN: 637.04 / MAX: 695.89 MIN: 630.65 / MAX: 691.76 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: alexnet repeat risc-v EM-RV1 RISC-V 40 80 120 160 200 SE +/- 0.53, N = 3 199.80 198.57 MIN: 198.15 / MAX: 241.06 MIN: 196.63 / MAX: 235 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Zstd Compression This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 19, Long Mode - Decompression Speed EM-RV1 RISC-V repeat risc-v 11 22 33 44 55 SE +/- 0.17, N = 3 49.0 49.3 1. (CC) gcc options: -O3 -pthread -lz
PyBench This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milliseconds, Fewer Is Better PyBench 2018-02-16 Total For Average Test Times repeat risc-v EM-RV1 RISC-V 1400 2800 4200 5600 7000 SE +/- 2.31, N = 3 6553 6515
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU-v2-v2 - Model: mobilenet-v2 repeat risc-v EM-RV1 RISC-V 20 40 60 80 100 SE +/- 0.23, N = 3 82.41 82.04 MIN: 81.8 / MAX: 93.31 MIN: 81.29 / MAX: 113.9 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: yolov4-tiny EM-RV1 RISC-V repeat risc-v 90 180 270 360 450 SE +/- 0.35, N = 3 428.39 426.61 MIN: 425.34 / MAX: 600.66 MIN: 425.02 / MAX: 480.83 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: FastestDet repeat risc-v EM-RV1 RISC-V 12 24 36 48 60 SE +/- 0.09, N = 3 53.30 53.10 MIN: 52.95 / MAX: 55.11 MIN: 52.55 / MAX: 88.68 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenSSL OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.3 Algorithm: AES-256-GCM repeat risc-v EM-RV1 RISC-V 30M 60M 90M 120M 150M SE +/- 83699.04, N = 3 130544160 131021393 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 8, Long Mode - Decompression Speed repeat risc-v EM-RV1 RISC-V 13 26 39 52 65 SE +/- 0.19, N = 3 56.7 56.9 1. (CC) gcc options: -O3 -pthread -lz
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: googlenet repeat risc-v EM-RV1 RISC-V 60 120 180 240 300 SE +/- 0.40, N = 3 262.50 261.74 MIN: 261.49 / MAX: 279.5 MIN: 259.77 / MAX: 329.48 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenSSL OpenBenchmarking.org verify/s, More Is Better OpenSSL 3.3 Algorithm: RSA4096 EM-RV1 RISC-V repeat risc-v 2K 4K 6K 8K 10K SE +/- 25.20, N = 3 8744.2 8768.2 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: shufflenet-v2 repeat risc-v EM-RV1 RISC-V 9 18 27 36 45 SE +/- 0.17, N = 3 38.03 37.93 MIN: 37.69 / MAX: 53.48 MIN: 37.33 / MAX: 49.07 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: squeezenet_ssd repeat risc-v EM-RV1 RISC-V 40 80 120 160 200 SE +/- 0.33, N = 3 191.56 191.09 MIN: 190.83 / MAX: 200.37 MIN: 189.63 / MAX: 249.6 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
srsRAN Project OpenBenchmarking.org Mbps, More Is Better srsRAN Project 23.10.1-20240325 Test: PDSCH Processor Benchmark, Throughput Total repeat risc-v EM-RV1 RISC-V 9 18 27 36 45 SE +/- 0.03, N = 3 41.4 41.5 1. (CXX) g++ options: -O3 -fno-trapping-math -fno-math-errno -ldl
Git This test measures the time needed to carry out some sample Git operations on an example, static repository that happens to be a copy of the GNOME GTK tool-kit repository. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Git Time To Complete Common Git Commands repeat risc-v EM-RV1 RISC-V 60 120 180 240 300 SE +/- 0.53, N = 3 265.13 264.52 1. git version 2.43.0
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPUv2-yolov3v2-yolov3 - Model: mobilenetv2-yolov3 EM-RV1 RISC-V repeat risc-v 70 140 210 280 350 SE +/- 1.09, N = 3 318.20 317.50 MIN: 315.2 / MAX: 381.29 MIN: 316.29 / MAX: 359.72 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: mobilenet EM-RV1 RISC-V repeat risc-v 70 140 210 280 350 SE +/- 1.09, N = 3 318.20 317.50 MIN: 315.2 / MAX: 381.29 MIN: 316.29 / MAX: 359.72 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenSSL OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.3 Algorithm: SHA512 EM-RV1 RISC-V repeat risc-v 50M 100M 150M 200M 250M SE +/- 345914.20, N = 3 219465600 219937130 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: resnet18 EM-RV1 RISC-V repeat risc-v 50 100 150 200 250 SE +/- 0.87, N = 3 233.59 233.11 MIN: 231.72 / MAX: 267.49 MIN: 232.11 / MAX: 302.86 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: vgg16 EM-RV1 RISC-V repeat risc-v 300 600 900 1200 1500 SE +/- 2.27, N = 3 1293.38 1290.76 MIN: 1276.13 / MAX: 1474.04 MIN: 1281.19 / MAX: 1382.18 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: vision_transformer EM-RV1 RISC-V repeat risc-v 1500 3000 4500 6000 7500 SE +/- 40.44, N = 3 6781.23 6775.11 MIN: 6610.59 / MAX: 7500.78 MIN: 6695.46 / MAX: 7023.72 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenSSL OpenBenchmarking.org sign/s, More Is Better OpenSSL 3.3 Algorithm: RSA4096 repeat risc-v EM-RV1 RISC-V 30 60 90 120 150 SE +/- 0.09, N = 3 115.3 115.4 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.3 Algorithm: AES-128-GCM repeat risc-v EM-RV1 RISC-V 30M 60M 90M 120M 150M SE +/- 26560.11, N = 3 158676860 158805287 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.3 Algorithm: ChaCha20-Poly1305 EM-RV1 RISC-V repeat risc-v 70M 140M 210M 280M 350M SE +/- 178197.43, N = 3 331696630 331834440 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
OpenSSL OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.3 Algorithm: ChaCha20 EM-RV1 RISC-V repeat risc-v 90M 180M 270M 360M 450M SE +/- 175357.77, N = 3 434437323 434558020 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
GraphicsMagick OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.43 Operation: HWB Color Space EM-RV1 RISC-V repeat risc-v 5 10 15 20 25 SE +/- 0.00, N = 3 22 22 1. (CC) gcc options: -fopenmp -O2 -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lz -lm -lpthread -lgomp
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.43 Operation: Noise-Gaussian EM-RV1 RISC-V repeat risc-v 0.675 1.35 2.025 2.7 3.375 SE +/- 0.00, N = 3 3 3 1. (CC) gcc options: -fopenmp -O2 -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lz -lm -lpthread -lgomp
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.43 Operation: Resizing EM-RV1 RISC-V repeat risc-v 2 4 6 8 10 SE +/- 0.00, N = 3 6 6 1. (CC) gcc options: -fopenmp -O2 -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lz -lm -lpthread -lgomp
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.43 Operation: Enhanced EM-RV1 RISC-V repeat risc-v 0.9 1.8 2.7 3.6 4.5 SE +/- 0.00, N = 3 4 4 1. (CC) gcc options: -fopenmp -O2 -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lz -lm -lpthread -lgomp
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.43 Operation: Sharpen EM-RV1 RISC-V repeat risc-v 1.125 2.25 3.375 4.5 5.625 SE +/- 0.00, N = 3 5 5 1. (CC) gcc options: -fopenmp -O2 -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lz -lm -lpthread -lgomp
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.43 Operation: Rotate EM-RV1 RISC-V repeat risc-v 4 8 12 16 20 SE +/- 0.00, N = 3 16 16 1. (CC) gcc options: -fopenmp -O2 -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lz -lm -lpthread -lgomp
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.43 Operation: Swirl EM-RV1 RISC-V repeat risc-v 1.125 2.25 3.375 4.5 5.625 SE +/- 0.00, N = 3 5 5 1. (CC) gcc options: -fopenmp -O2 -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lz -lm -lpthread -lgomp
srsRAN Project OpenBenchmarking.org Mbps, More Is Better srsRAN Project 23.10.1-20240325 Test: PUSCH Processor Benchmark, Throughput Thread EM-RV1 RISC-V repeat risc-v 0.1575 0.315 0.4725 0.63 0.7875 SE +/- 0.00, N = 3 0.7 0.7 MIN: 0.4 MIN: 0.4 1. (CXX) g++ options: -O3 -fno-trapping-math -fno-math-errno -ldl
WebP Image Encode OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.4 Encode Settings: Quality 100, Lossless, Highest Compression EM-RV1 RISC-V repeat risc-v 0.0203 0.0406 0.0609 0.0812 0.1015 SE +/- 0.00, N = 3 0.09 0.09 1. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.4 Encode Settings: Quality 100, Highest Compression EM-RV1 RISC-V repeat risc-v 0.153 0.306 0.459 0.612 0.765 SE +/- 0.00, N = 3 0.68 0.68 1. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.4 Encode Settings: Default EM-RV1 RISC-V repeat risc-v 0.3105 0.621 0.9315 1.242 1.5525 SE +/- 0.00, N = 3 1.38 1.38 1. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 19 - Compression Speed EM-RV1 RISC-V repeat risc-v 0.2498 0.4996 0.7494 0.9992 1.249 SE +/- 0.00, N = 3 1.11 1.11 1. (CC) gcc options: -O3 -pthread -lz
srsRAN Project Test: PUSCH Processor Benchmark, Throughput Total
EM-RV1 RISC-V: The test quit with a non-zero exit status.
repeat risc-v: The test quit with a non-zero exit status.
EM-RV1 RISC-V Compiler Notes: --build=riscv64-linux-gnu --disable-libitm --disable-libquadmath --disable-libquadmath-support --disable-multilib --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=riscv64-linux-gnu --program-prefix=riscv64-linux-gnu- --target=riscv64-linux-gnu --with-abi=lp64d --with-arch=rv64gc --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -vProcessor Notes: Scaling Governor: light-cpufreq ondemandPython Notes: Python 3.12.3
Testing initiated at 9 May 2024 02:05 by user ubuntu.
repeat risc-v Processor: rv64imafdcvsu @ 1.85GHz (4 Cores), Motherboard: Scaleway EM-RV1-C4M16S128-A, Memory: 16GB, Disk: 125GB Y2P128
OS: Ubuntu 24.04, Kernel: 5.10.113+ (riscv64), Compiler: GCC 13.2.0, File-System: ext4
Compiler Notes: --build=riscv64-linux-gnu --disable-libitm --disable-libquadmath --disable-libquadmath-support --disable-multilib --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=riscv64-linux-gnu --program-prefix=riscv64-linux-gnu- --target=riscv64-linux-gnu --with-abi=lp64d --with-arch=rv64gc --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -vProcessor Notes: Scaling Governor: light-cpufreq ondemandPython Notes: Python 3.12.3
Testing initiated at 10 May 2024 02:07 by user ubuntu.