ml2020 AMD Ryzen 5 2600 Six-Core testing with a Gigabyte X470 AORUS ULTRA GAMING-CF (F50 BIOS) and ASUS NVIDIA GeForce GTX 1050 Ti 4GB on Ubuntu 19.10 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 2010021-NE-ML202015283 ASUS NVIDIA GeForce GTX 1050 Ti Processor: AMD Ryzen 5 2600 Six-Core @ 3.40GHz (6 Cores / 12 Threads), Motherboard: Gigabyte X470 AORUS ULTRA GAMING-CF (F50 BIOS), Chipset: AMD 17h, Memory: 16GB, Disk: 250GB Samsung SSD 850 + 2000GB Seagate ST2000DM006-2DM1, Graphics: ASUS NVIDIA GeForce GTX 1050 Ti 4GB (1341/3504MHz), Audio: NVIDIA GP107GL HD Audio, Network: Intel I211
OS: Ubuntu 19.10, Kernel: 5.3.0-64-generic (x86_64), Desktop: KDE Plasma 5.18.3, Display Server: X Server 1.20.5, Display Driver: NVIDIA 440.100, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 10.2.185, Vulkan: 1.1.119, Compiler: GCC 8.4.0 + Clang 9.0.0-2 + CUDA 10.1, File-System: ext4, Screen Resolution: 1440x900
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x800820dPython Notes: Python 2.7.17 + Python 3.7.5Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected
ml2020 OpenBenchmarking.org Phoronix Test Suite AMD Ryzen 5 2600 Six-Core @ 3.40GHz (6 Cores / 12 Threads) Gigabyte X470 AORUS ULTRA GAMING-CF (F50 BIOS) AMD 17h 16GB 250GB Samsung SSD 850 + 2000GB Seagate ST2000DM006-2DM1 ASUS NVIDIA GeForce GTX 1050 Ti 4GB (1341/3504MHz) NVIDIA GP107GL HD Audio Intel I211 Ubuntu 19.10 5.3.0-64-generic (x86_64) KDE Plasma 5.18.3 X Server 1.20.5 NVIDIA 440.100 4.6.0 OpenCL 1.2 CUDA 10.2.185 1.1.119 GCC 8.4.0 + Clang 9.0.0-2 + CUDA 10.1 ext4 1440x900 Processor Motherboard Chipset Memory Disk Graphics Audio Network OS Kernel Desktop Display Server Display Driver OpenGL OpenCL Vulkan Compiler File-System Screen Resolution Ml2020 Benchmarks System Logs - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x800820d - Python 2.7.17 + Python 3.7.5 - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected
ml2020 caffe: AlexNet - CPU - 100 realsr-ncnn: 4x - No realsr-ncnn: 4x - Yes caffe: AlexNet - CPU - 200 caffe: AlexNet - CPU - 1000 caffe: GoogleNet - CPU - 100 caffe: GoogleNet - CPU - 200 caffe: GoogleNet - CPU - 1000 caffe: AlexNet - NVIDIA CUDA - 100 caffe: AlexNet - NVIDIA CUDA - 200 caffe: AlexNet - NVIDIA CUDA - 1000 caffe: GoogleNet - NVIDIA CUDA - 100 caffe: GoogleNet - NVIDIA CUDA - 200 caffe: GoogleNet - NVIDIA CUDA - 1000 ncnn: CPU - squeezenet ncnn: CPU - mobilenet ncnn: CPU-v2-v2 - mobilenet-v2 ncnn: CPU-v3-v3 - mobilenet-v3 ncnn: CPU - shufflenet-v2 ncnn: CPU - mnasnet ncnn: CPU - efficientnet-b0 ncnn: CPU - blazeface ncnn: CPU - googlenet ncnn: CPU - vgg16 ncnn: CPU - resnet18 ncnn: CPU - alexnet ncnn: CPU - resnet50 ncnn: CPU - yolov4-tiny ncnn: Vulkan GPU - squeezenet ncnn: Vulkan GPU - mobilenet ncnn: Vulkan GPU-v2-v2 - mobilenet-v2 ncnn: Vulkan GPU-v3-v3 - mobilenet-v3 ncnn: Vulkan GPU - shufflenet-v2 ncnn: Vulkan GPU - mnasnet ncnn: Vulkan GPU - efficientnet-b0 ncnn: Vulkan GPU - blazeface ncnn: Vulkan GPU - googlenet ncnn: Vulkan GPU - vgg16 ncnn: Vulkan GPU - resnet18 ncnn: Vulkan GPU - alexnet ncnn: Vulkan GPU - resnet50 ncnn: Vulkan GPU - yolov4-tiny ASUS NVIDIA GeForce GTX 1050 Ti 60856 33.859 247.222 122278 607740 146192 291323 1465667 2801.49 5545.70 27826.6 6616.77 13190.8 66048.4 29.53 32.79 9.88 8.98 7.28 8.84 13.22 2.60 25.94 93.78 22.69 20.91 54.16 42.75 10.18 8.16 2.59 3.06 2.18 2.73 4.56 1.13 6.75 29.37 4.97 7.80 11.23 14.20 OpenBenchmarking.org
Caffe This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 ASUS NVIDIA GeForce GTX 1050 Ti 13K 26K 39K 52K 65K SE +/- 147.69, N = 3 60856 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lcublas -lcudnn -lopenblas
RealSR-NCNN RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better RealSR-NCNN 20200818 Scale: 4x - TAA: No ASUS NVIDIA GeForce GTX 1050 Ti 8 16 24 32 40 SE +/- 0.09, N = 3 33.86
Caffe This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 200 ASUS NVIDIA GeForce GTX 1050 Ti 30K 60K 90K 120K 150K SE +/- 1150.93, N = 3 122278 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lcublas -lcudnn -lopenblas
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 1000 ASUS NVIDIA GeForce GTX 1050 Ti 130K 260K 390K 520K 650K SE +/- 1076.56, N = 3 607740 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lcublas -lcudnn -lopenblas
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 ASUS NVIDIA GeForce GTX 1050 Ti 30K 60K 90K 120K 150K SE +/- 156.18, N = 3 146192 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lcublas -lcudnn -lopenblas
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 200 ASUS NVIDIA GeForce GTX 1050 Ti 60K 120K 180K 240K 300K SE +/- 779.88, N = 3 291323 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lcublas -lcudnn -lopenblas
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 1000 ASUS NVIDIA GeForce GTX 1050 Ti 300K 600K 900K 1200K 1500K SE +/- 3946.28, N = 3 1465667 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lcublas -lcudnn -lopenblas
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 100 ASUS NVIDIA GeForce GTX 1050 Ti 600 1200 1800 2400 3000 SE +/- 15.30, N = 3 2801.49 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lcublas -lcudnn -lopenblas
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 200 ASUS NVIDIA GeForce GTX 1050 Ti 1200 2400 3600 4800 6000 SE +/- 1.88, N = 3 5545.70 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lcublas -lcudnn -lopenblas
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 1000 ASUS NVIDIA GeForce GTX 1050 Ti 6K 12K 18K 24K 30K SE +/- 28.75, N = 3 27826.6 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lcublas -lcudnn -lopenblas
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 100 ASUS NVIDIA GeForce GTX 1050 Ti 1400 2800 4200 5600 7000 SE +/- 11.79, N = 3 6616.77 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lcublas -lcudnn -lopenblas
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 200 ASUS NVIDIA GeForce GTX 1050 Ti 3K 6K 9K 12K 15K SE +/- 11.58, N = 3 13190.8 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lcublas -lcudnn -lopenblas
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 1000 ASUS NVIDIA GeForce GTX 1050 Ti 14K 28K 42K 56K 70K SE +/- 24.90, N = 3 66048.4 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lcublas -lcudnn -lopenblas
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenet ASUS NVIDIA GeForce GTX 1050 Ti 8 16 24 32 40 SE +/- 0.43, N = 5 32.79 MIN: 29.58 / MAX: 153.95 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 ASUS NVIDIA GeForce GTX 1050 Ti 3 6 9 12 15 SE +/- 0.21, N = 5 9.88 MIN: 8.83 / MAX: 159.81 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 ASUS NVIDIA GeForce GTX 1050 Ti 3 6 9 12 15 SE +/- 0.18, N = 5 8.98 MIN: 7.97 / MAX: 152.89 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: shufflenet-v2 ASUS NVIDIA GeForce GTX 1050 Ti 2 4 6 8 10 SE +/- 0.06, N = 5 7.28 MIN: 6.47 / MAX: 108.01 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet ASUS NVIDIA GeForce GTX 1050 Ti 2 4 6 8 10 SE +/- 0.15, N = 5 8.84 MIN: 8 / MAX: 85.99 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: efficientnet-b0 ASUS NVIDIA GeForce GTX 1050 Ti 3 6 9 12 15 SE +/- 0.17, N = 5 13.22 MIN: 11.97 / MAX: 118.81 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: blazeface ASUS NVIDIA GeForce GTX 1050 Ti 0.585 1.17 1.755 2.34 2.925 SE +/- 0.11, N = 5 2.60 MIN: 2.32 / MAX: 43.98 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: googlenet ASUS NVIDIA GeForce GTX 1050 Ti 6 12 18 24 30 SE +/- 0.26, N = 5 25.94 MIN: 23.64 / MAX: 131.94 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: vgg16 ASUS NVIDIA GeForce GTX 1050 Ti 20 40 60 80 100 SE +/- 0.19, N = 5 93.78 MIN: 88.25 / MAX: 162.56 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet18 ASUS NVIDIA GeForce GTX 1050 Ti 5 10 15 20 25 SE +/- 0.14, N = 5 22.69 MIN: 20.52 / MAX: 114.55 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: alexnet ASUS NVIDIA GeForce GTX 1050 Ti 5 10 15 20 25 SE +/- 0.06, N = 5 20.91 MIN: 19.44 / MAX: 90.56 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet50 ASUS NVIDIA GeForce GTX 1050 Ti 12 24 36 48 60 SE +/- 0.43, N = 5 54.16 MIN: 48.78 / MAX: 166.09 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: yolov4-tiny ASUS NVIDIA GeForce GTX 1050 Ti 10 20 30 40 50 SE +/- 0.16, N = 5 42.75 MIN: 39.78 / MAX: 149.41 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: squeezenet ASUS NVIDIA GeForce GTX 1050 Ti 3 6 9 12 15 SE +/- 0.03, N = 3 10.18 MIN: 9.82 / MAX: 15.57 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: mobilenet ASUS NVIDIA GeForce GTX 1050 Ti 2 4 6 8 10 SE +/- 0.03, N = 3 8.16 MIN: 7.98 / MAX: 12.25 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ASUS NVIDIA GeForce GTX 1050 Ti 0.5828 1.1656 1.7484 2.3312 2.914 SE +/- 0.01, N = 3 2.59 MIN: 2.55 / MAX: 3.79 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ASUS NVIDIA GeForce GTX 1050 Ti 0.6885 1.377 2.0655 2.754 3.4425 SE +/- 0.03, N = 3 3.06 MIN: 2.95 / MAX: 5.43 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: shufflenet-v2 ASUS NVIDIA GeForce GTX 1050 Ti 0.4905 0.981 1.4715 1.962 2.4525 SE +/- 0.02, N = 3 2.18 MIN: 2.1 / MAX: 4.98 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: mnasnet ASUS NVIDIA GeForce GTX 1050 Ti 0.6143 1.2286 1.8429 2.4572 3.0715 SE +/- 0.03, N = 3 2.73 MIN: 2.66 / MAX: 8.01 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: efficientnet-b0 ASUS NVIDIA GeForce GTX 1050 Ti 1.026 2.052 3.078 4.104 5.13 SE +/- 0.02, N = 3 4.56 MIN: 4.5 / MAX: 6.12 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: blazeface ASUS NVIDIA GeForce GTX 1050 Ti 0.2543 0.5086 0.7629 1.0172 1.2715 SE +/- 0.12, N = 3 1.13 MIN: 0.93 / MAX: 4.38 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: googlenet ASUS NVIDIA GeForce GTX 1050 Ti 2 4 6 8 10 SE +/- 0.01, N = 3 6.75 MIN: 6.67 / MAX: 12.76 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: vgg16 ASUS NVIDIA GeForce GTX 1050 Ti 7 14 21 28 35 SE +/- 0.05, N = 3 29.37 MIN: 28.77 / MAX: 31.44 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet18 ASUS NVIDIA GeForce GTX 1050 Ti 1.1183 2.2366 3.3549 4.4732 5.5915 SE +/- 0.02, N = 3 4.97 MIN: 4.87 / MAX: 7.32 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: alexnet ASUS NVIDIA GeForce GTX 1050 Ti 2 4 6 8 10 SE +/- 0.01, N = 3 7.80 MIN: 7.59 / MAX: 10.04 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet50 ASUS NVIDIA GeForce GTX 1050 Ti 3 6 9 12 15 SE +/- 0.01, N = 3 11.23 MIN: 11.04 / MAX: 20.65 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: yolov4-tiny ASUS NVIDIA GeForce GTX 1050 Ti 4 8 12 16 20 SE +/- 0.01, N = 3 14.20 MIN: 14.01 / MAX: 18.45 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
ASUS NVIDIA GeForce GTX 1050 Ti Processor: AMD Ryzen 5 2600 Six-Core @ 3.40GHz (6 Cores / 12 Threads), Motherboard: Gigabyte X470 AORUS ULTRA GAMING-CF (F50 BIOS), Chipset: AMD 17h, Memory: 16GB, Disk: 250GB Samsung SSD 850 + 2000GB Seagate ST2000DM006-2DM1, Graphics: ASUS NVIDIA GeForce GTX 1050 Ti 4GB (1341/3504MHz), Audio: NVIDIA GP107GL HD Audio, Network: Intel I211
OS: Ubuntu 19.10, Kernel: 5.3.0-64-generic (x86_64), Desktop: KDE Plasma 5.18.3, Display Server: X Server 1.20.5, Display Driver: NVIDIA 440.100, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 10.2.185, Vulkan: 1.1.119, Compiler: GCC 8.4.0 + Clang 9.0.0-2 + CUDA 10.1, File-System: ext4, Screen Resolution: 1440x900
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x800820dPython Notes: Python 2.7.17 + Python 3.7.5Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 2 October 2020 10:25 by user karol.