AMD Ryzen 7 5700G testing with a Gigabyte B550I AORUS PRO AX (F16e BIOS) and Gigabyte AMD Cezanne 512MB on Ubuntu 22.04 via the Phoronix Test Suite.
Gigabyte AMD Cezanne Processor: AMD Ryzen 7 5700G @ 4.67GHz (8 Cores / 16 Threads), Motherboard: Gigabyte B550I AORUS PRO AX (F16e BIOS), Chipset: AMD Renoir/Cezanne, Memory: 64GB, Disk: 2000GB Western Digital WDS200T2B0C-00PXH0 + 1000GB KIOXIA-EXCERIA PRO SSD + 1000GB Western Digital WDS100T3X0C-00SJG0, Graphics: Gigabyte AMD Cezanne 512MB (2000/1600MHz), Audio: AMD Renoir Radeon HD Audio, Monitor: DIOS-LDH241D, Network: Realtek RTL8125 2.5GbE + MEDIATEK Device 0608
OS: Ubuntu 22.04, Kernel: 6.5.0-17-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server 1.21.1.4, OpenGL: 4.6 Mesa 23.3.0-devel (LLVM 17.0.4 DRM 3.56), OpenCL: OpenCL 1.1 Mesa 23.0.4-0ubuntu1~22.04.1 + OpenCL 2.1 AMD-APP (3602.0), Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --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: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa50000dGraphics Notes: GLAMOR - BAR1 / Visible vRAM Size: 512 MB - vBIOS Version: 13-CEZANNE-019Python Notes: Python 3.10.12Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Waifu2x-NCNN Vulkan Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. 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 with Vulkan. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Waifu2x-NCNN Vulkan 20200818 Scale: 2x - Denoise: 3 - TAA: No Gigabyte AMD Cezanne 0.6561 1.3122 1.9683 2.6244 3.2805 SE +/- 0.032, N = 4 2.916
GravityMark GravityMark is a cross-API, cross-platform GPU accelerated benchmark developed by Tellusim. GravityMark aims to exploit the performance of modern GPUs and render hundreds of thousands of objects in real-time all using GPU acceleration. GravityMark supports a variety of graphics rendering APIs and optionally supports accelerated ray-tracing. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better GravityMark 1.82 Resolution: 1920 x 1080 - Renderer: OpenGL Gigabyte AMD Cezanne 5 10 15 20 25 SE +/- 0.15, N = 3 22.3
Resolution: 1920 x 1080 - Renderer: Vulkan Ray-Tracing
Gigabyte AMD Cezanne: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
ProjectPhysX OpenCL-Benchmark ProjectPhysX OpenCL-Benchmark provides various OpenCL compute and memory bandwidth micro-benchmarks Learn more via the OpenBenchmarking.org test page.
Gigabyte AMD Cezanne: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E:
| Warning: fatal error: cannot open file |
Unigine Valley This test calculates the average frame-rate within the Valley demo for the Unigine engine, released in February 2013. This engine is extremely demanding on the system's graphics card. Unigine Valley relies upon an OpenGL 3 core profile context. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Unigine Valley 1.0 Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL Gigabyte AMD Cezanne 7 14 21 28 35 SE +/- 0.27, N = 3 29.80
ParaView This test runs ParaView benchmarks: an open-source data analytics and visualization application. Paraview describes itself as "an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques." Learn more via the OpenBenchmarking.org test page.
QuantLib QuantLib is an open-source library/framework around quantitative finance for modeling, trading and risk management scenarios. QuantLib is written in C++ with Boost and its built-in benchmark used reports the QuantLib Benchmark Index benchmark score. Learn more via the OpenBenchmarking.org test page.
Configuration: Multi-Threaded
Gigabyte AMD Cezanne: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.
Configuration: Single-Threaded
Gigabyte AMD Cezanne: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.
FFmpeg This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx264 - Scenario: Live Gigabyte AMD Cezanne 50 100 150 200 250 SE +/- 0.71, N = 3 218.43 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Live Gigabyte AMD Cezanne 30 60 90 120 150 SE +/- 0.23, N = 3 120.47 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx264 - Scenario: Upload Gigabyte AMD Cezanne 4 8 12 16 20 SE +/- 0.00, N = 3 14.21 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Upload Gigabyte AMD Cezanne 5 10 15 20 25 SE +/- 0.00, N = 3 21.67 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx264 - Scenario: Platform Gigabyte AMD Cezanne 12 24 36 48 60 SE +/- 0.04, N = 3 53.26 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Platform Gigabyte AMD Cezanne 10 20 30 40 50 SE +/- 0.05, N = 3 44.40 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx264 - Scenario: Video On Demand Gigabyte AMD Cezanne 12 24 36 48 60 SE +/- 0.08, N = 3 53.33 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Video On Demand Gigabyte AMD Cezanne 10 20 30 40 50 SE +/- 0.04, N = 3 44.41 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org FPS, More Is Better libgav1 0.17 Video Input: Summer Nature 4K Gigabyte AMD Cezanne 20 40 60 80 100 SE +/- 0.13, N = 3 83.06 1. (CXX) g++ options: -O3 -lrt
OpenBenchmarking.org FPS, More Is Better libgav1 0.17 Video Input: Summer Nature 1080p Gigabyte AMD Cezanne 70 140 210 280 350 SE +/- 0.40, N = 3 299.17 1. (CXX) g++ options: -O3 -lrt
OpenBenchmarking.org FPS, More Is Better libgav1 0.17 Video Input: Chimera 1080p 10-bit Gigabyte AMD Cezanne 16 32 48 64 80 SE +/- 0.10, N = 3 72.55 1. (CXX) g++ options: -O3 -lrt
John The Ripper This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.
Test: bcrypt
Gigabyte AMD Cezanne: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.
Test: WPA PSK
Gigabyte AMD Cezanne: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.
Test: Blowfish
Gigabyte AMD Cezanne: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.
Test: HMAC-SHA512
Gigabyte AMD Cezanne: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.
Test: MD5
Gigabyte AMD Cezanne: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.
OpenBenchmarking.org FPS, More Is Better dav1d 1.2.1 Video Input: Summer Nature 4K Gigabyte AMD Cezanne 40 80 120 160 200 SE +/- 1.59, N = 3 203.25 1. (CC) gcc options: -pthread
OpenBenchmarking.org FPS, More Is Better dav1d 1.2.1 Video Input: Summer Nature 1080p Gigabyte AMD Cezanne 200 400 600 800 1000 SE +/- 0.76, N = 3 852.36 1. (CC) gcc options: -pthread
OpenBenchmarking.org FPS, More Is Better dav1d 1.2.1 Video Input: Chimera 1080p 10-bit Gigabyte AMD Cezanne 100 200 300 400 500 SE +/- 0.74, N = 3 470.66 1. (CC) gcc options: -pthread
SVT-AV1 This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 Git Encoder Mode: Preset 4 - Input: Bosphorus 4K Gigabyte AMD Cezanne 0.7594 1.5188 2.2782 3.0376 3.797 SE +/- 0.005, N = 3 3.375 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 Git Encoder Mode: Preset 8 - Input: Bosphorus 4K Gigabyte AMD Cezanne 6 12 18 24 30 SE +/- 0.06, N = 3 26.32 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 Git Encoder Mode: Preset 4 - Input: Bosphorus 1080p Gigabyte AMD Cezanne 3 6 9 12 15 SE +/- 0.02, N = 3 11.74 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 Git Encoder Mode: Preset 8 - Input: Bosphorus 1080p Gigabyte AMD Cezanne 20 40 60 80 100 SE +/- 0.37, N = 3 78.64 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
AOM AV1 This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.7 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K Gigabyte AMD Cezanne 0.0428 0.0856 0.1284 0.1712 0.214 SE +/- 0.00, N = 3 0.19 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.7 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K Gigabyte AMD Cezanne 1.2645 2.529 3.7935 5.058 6.3225 SE +/- 0.00, N = 3 5.62 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.7 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K Gigabyte AMD Cezanne 12 24 36 48 60 SE +/- 1.11, N = 15 55.33 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.7 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K Gigabyte AMD Cezanne 3 6 9 12 15 SE +/- 0.01, N = 3 11.82 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.7 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K Gigabyte AMD Cezanne 13 26 39 52 65 SE +/- 0.52, N = 3 58.42 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.7 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K Gigabyte AMD Cezanne 16 32 48 64 80 SE +/- 0.74, N = 5 71.25 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.7 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K Gigabyte AMD Cezanne 15 30 45 60 75 SE +/- 0.25, N = 3 69.28 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.7 Encoder Mode: Speed 11 Realtime - Input: Bosphorus 4K Gigabyte AMD Cezanne 16 32 48 64 80 SE +/- 0.06, N = 3 69.76 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.7 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p Gigabyte AMD Cezanne 0.1328 0.2656 0.3984 0.5312 0.664 SE +/- 0.00, N = 3 0.59 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.7 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p Gigabyte AMD Cezanne 4 8 12 16 20 SE +/- 0.03, N = 3 13.85 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.7 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p Gigabyte AMD Cezanne 40 80 120 160 200 SE +/- 3.55, N = 14 160.64 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.7 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p Gigabyte AMD Cezanne 10 20 30 40 50 SE +/- 0.05, N = 3 41.70 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.7 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p Gigabyte AMD Cezanne 40 80 120 160 200 SE +/- 4.41, N = 12 176.11 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.7 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p Gigabyte AMD Cezanne 40 80 120 160 200 SE +/- 7.01, N = 12 185.04 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.7 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p Gigabyte AMD Cezanne 40 80 120 160 200 SE +/- 5.59, N = 13 188.87 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.7 Encoder Mode: Speed 11 Realtime - Input: Bosphorus 1080p Gigabyte AMD Cezanne 40 80 120 160 200 SE +/- 5.04, N = 15 181.99 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
Kvazaar This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Slow Gigabyte AMD Cezanne 2 4 6 8 10 SE +/- 0.01, N = 3 8.41 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Medium Gigabyte AMD Cezanne 2 4 6 8 10 SE +/- 0.01, N = 3 8.58 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Slow Gigabyte AMD Cezanne 10 20 30 40 50 SE +/- 0.08, N = 3 43.03 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Medium Gigabyte AMD Cezanne 10 20 30 40 50 SE +/- 0.03, N = 3 44.37 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Very Fast Gigabyte AMD Cezanne 5 10 15 20 25 SE +/- 0.03, N = 3 20.93 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Super Fast Gigabyte AMD Cezanne 6 12 18 24 30 SE +/- 0.03, N = 3 25.30 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Gigabyte AMD Cezanne 8 16 24 32 40 SE +/- 0.04, N = 3 33.60 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Very Fast Gigabyte AMD Cezanne 20 40 60 80 100 SE +/- 0.34, N = 3 86.29 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Super Fast Gigabyte AMD Cezanne 20 40 60 80 100 SE +/- 1.23, N = 3 108.43 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Gigabyte AMD Cezanne 30 60 90 120 150 SE +/- 1.42, N = 3 144.34 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
SVT-AV1 This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 4 - Input: Bosphorus 4K Gigabyte AMD Cezanne 0.7535 1.507 2.2605 3.014 3.7675 SE +/- 0.003, N = 3 3.349 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 8 - Input: Bosphorus 4K Gigabyte AMD Cezanne 6 12 18 24 30 SE +/- 0.08, N = 3 26.02 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 12 - Input: Bosphorus 4K Gigabyte AMD Cezanne 20 40 60 80 100 SE +/- 0.08, N = 3 89.49 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 13 - Input: Bosphorus 4K Gigabyte AMD Cezanne 20 40 60 80 100 SE +/- 0.31, N = 3 90.37 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Gigabyte AMD Cezanne 3 6 9 12 15 SE +/- 0.04, N = 3 11.82 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Gigabyte AMD Cezanne 20 40 60 80 100 SE +/- 0.38, N = 3 78.24 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Gigabyte AMD Cezanne 70 140 210 280 350 SE +/- 1.30, N = 3 340.22 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 13 - Input: Bosphorus 1080p Gigabyte AMD Cezanne 90 180 270 360 450 SE +/- 2.27, N = 3 420.96 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-HEVC This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 4K Gigabyte AMD Cezanne 0.4748 0.9496 1.4244 1.8992 2.374 SE +/- 0.01, N = 3 2.11 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 4K Gigabyte AMD Cezanne 9 18 27 36 45 SE +/- 0.08, N = 3 38.74 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 4K Gigabyte AMD Cezanne 16 32 48 64 80 SE +/- 0.04, N = 3 73.24 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 1080p Gigabyte AMD Cezanne 2 4 6 8 10 SE +/- 0.04, N = 3 8.47 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 1080p Gigabyte AMD Cezanne 30 60 90 120 150 SE +/- 0.13, N = 3 116.66 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 1080p Gigabyte AMD Cezanne 50 100 150 200 250 SE +/- 0.54, N = 3 238.51 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
SVT-VP9 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 4K Gigabyte AMD Cezanne 11 22 33 44 55 SE +/- 0.42, N = 7 48.85 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 1080p Gigabyte AMD Cezanne 40 80 120 160 200 SE +/- 1.70, N = 5 159.97 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K Gigabyte AMD Cezanne 12 24 36 48 60 SE +/- 0.02, N = 3 52.48 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p Gigabyte AMD Cezanne 40 80 120 160 200 SE +/- 0.40, N = 3 167.43 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: Visual Quality Optimized - Input: Bosphorus 4K Gigabyte AMD Cezanne 9 18 27 36 45 SE +/- 0.15, N = 3 40.85 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p Gigabyte AMD Cezanne 30 60 90 120 150 SE +/- 0.31, N = 3 131.33 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Medium Gigabyte AMD Cezanne 1.3028 2.6056 3.9084 5.2112 6.514 SE +/- 0.00, N = 3 5.79
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Slow Gigabyte AMD Cezanne 7 14 21 28 35 SE +/- 0.03, N = 3 27.67
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Medium Gigabyte AMD Cezanne 7 14 21 28 35 SE +/- 0.04, N = 3 30.73
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Very Fast Gigabyte AMD Cezanne 4 8 12 16 20 SE +/- 0.05, N = 3 17.18
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Super Fast Gigabyte AMD Cezanne 4 8 12 16 20 SE +/- 0.03, N = 3 17.56
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Gigabyte AMD Cezanne 5 10 15 20 25 SE +/- 0.04, N = 3 20.91
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Very Fast Gigabyte AMD Cezanne 16 32 48 64 80 SE +/- 0.30, N = 3 73.96
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Super Fast Gigabyte AMD Cezanne 20 40 60 80 100 SE +/- 0.22, N = 3 78.12
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Gigabyte AMD Cezanne 20 40 60 80 100 SE +/- 0.88, N = 3 91.56
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.13 Speed: Speed 5 - Input: Bosphorus 4K Gigabyte AMD Cezanne 4 8 12 16 20 SE +/- 0.13, N = 3 17.81 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.13 Speed: Speed 0 - Input: Bosphorus 1080p Gigabyte AMD Cezanne 4 8 12 16 20 SE +/- 0.01, N = 3 15.33 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.13 Speed: Speed 5 - Input: Bosphorus 1080p Gigabyte AMD Cezanne 8 16 24 32 40 SE +/- 0.07, N = 3 33.60 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
VVenC VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Fast Gigabyte AMD Cezanne 0.891 1.782 2.673 3.564 4.455 SE +/- 0.012, N = 3 3.960 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Faster Gigabyte AMD Cezanne 2 4 6 8 10 SE +/- 0.011, N = 3 8.040 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.9 Video Input: Bosphorus 1080p - Video Preset: Fast Gigabyte AMD Cezanne 3 6 9 12 15 SE +/- 0.04, N = 3 12.64 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.9 Video Input: Bosphorus 1080p - Video Preset: Faster Gigabyte AMD Cezanne 6 12 18 24 30 SE +/- 0.06, N = 3 26.30 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
OpenBenchmarking.org Frames Per Second, More Is Better x264 2022-02-22 Video Input: Bosphorus 1080p Gigabyte AMD Cezanne 30 60 90 120 150 SE +/- 1.15, N = 3 117.59 1. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 1080p Gigabyte AMD Cezanne 13 26 39 52 65 SE +/- 0.21, N = 3 58.23 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: SHA256 Gigabyte AMD Cezanne 3000M 6000M 9000M 12000M 15000M SE +/- 5839242.03, N = 3 13277048620 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: SHA512 Gigabyte AMD Cezanne 900M 1800M 2700M 3600M 4500M SE +/- 2469571.09, N = 3 4395908890 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.org sign/s, More Is Better OpenSSL 3.1 Algorithm: RSA4096 Gigabyte AMD Cezanne 500 1000 1500 2000 2500 SE +/- 1.15, N = 3 2412.8 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.org verify/s, More Is Better OpenSSL 3.1 Algorithm: RSA4096 Gigabyte AMD Cezanne 30K 60K 90K 120K 150K SE +/- 20.10, N = 3 157337.7 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: ChaCha20 Gigabyte AMD Cezanne 9000M 18000M 27000M 36000M 45000M SE +/- 30201737.64, N = 3 40512084560 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: AES-128-GCM Gigabyte AMD Cezanne 9000M 18000M 27000M 36000M 45000M SE +/- 21806305.80, N = 3 43572378283 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: AES-256-GCM Gigabyte AMD Cezanne 9000M 18000M 27000M 36000M 45000M SE +/- 9589372.28, N = 3 39886545080 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: ChaCha20-Poly1305 Gigabyte AMD Cezanne 6000M 12000M 18000M 24000M 30000M SE +/- 17884599.47, N = 3 27387822083 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.org byte/s, More Is Better OpenSSL Algorithm: SHA256 Gigabyte AMD Cezanne 3000M 6000M 9000M 12000M 15000M SE +/- 12459040.25, N = 3 13173032680 1. OpenSSL 3.0.2 15 Mar 2022 (Library: OpenSSL 3.0.2 15 Mar 2022)
OpenBenchmarking.org byte/s, More Is Better OpenSSL Algorithm: SHA512 Gigabyte AMD Cezanne 900M 1800M 2700M 3600M 4500M SE +/- 18809521.13, N = 3 4286677593 1. OpenSSL 3.0.2 15 Mar 2022 (Library: OpenSSL 3.0.2 15 Mar 2022)
OpenBenchmarking.org sign/s, More Is Better OpenSSL Algorithm: RSA4096 Gigabyte AMD Cezanne 500 1000 1500 2000 2500 SE +/- 1.17, N = 3 2413.9 1. OpenSSL 3.0.2 15 Mar 2022 (Library: OpenSSL 3.0.2 15 Mar 2022)
OpenBenchmarking.org verify/s, More Is Better OpenSSL Algorithm: RSA4096 Gigabyte AMD Cezanne 30K 60K 90K 120K 150K SE +/- 9.82, N = 3 157241.9 1. OpenSSL 3.0.2 15 Mar 2022 (Library: OpenSSL 3.0.2 15 Mar 2022)
OpenBenchmarking.org byte/s, More Is Better OpenSSL Algorithm: ChaCha20 Gigabyte AMD Cezanne 9000M 18000M 27000M 36000M 45000M SE +/- 11252181.43, N = 3 40543249113 1. OpenSSL 3.0.2 15 Mar 2022 (Library: OpenSSL 3.0.2 15 Mar 2022)
OpenBenchmarking.org byte/s, More Is Better OpenSSL Algorithm: AES-128-GCM Gigabyte AMD Cezanne 9000M 18000M 27000M 36000M 45000M SE +/- 10412818.35, N = 3 43574258713 1. OpenSSL 3.0.2 15 Mar 2022 (Library: OpenSSL 3.0.2 15 Mar 2022)
OpenBenchmarking.org byte/s, More Is Better OpenSSL Algorithm: AES-256-GCM Gigabyte AMD Cezanne 9000M 18000M 27000M 36000M 45000M SE +/- 13301011.51, N = 3 39787505070 1. OpenSSL 3.0.2 15 Mar 2022 (Library: OpenSSL 3.0.2 15 Mar 2022)
OpenBenchmarking.org byte/s, More Is Better OpenSSL Algorithm: ChaCha20-Poly1305 Gigabyte AMD Cezanne 6000M 12000M 18000M 24000M 30000M SE +/- 23414684.76, N = 3 27389987137 1. OpenSSL 3.0.2 15 Mar 2022 (Library: OpenSSL 3.0.2 15 Mar 2022)
PyTorch This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 Gigabyte AMD Cezanne 9 18 27 36 45 SE +/- 0.17, N = 3 37.48 MIN: 33.45 / MAX: 39.16
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 Gigabyte AMD Cezanne 4 8 12 16 20 SE +/- 0.14, N = 3 16.05 MIN: 11.13 / MAX: 16.51
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 Gigabyte AMD Cezanne 5 10 15 20 25 SE +/- 0.06, N = 3 22.23 MIN: 15.79 / MAX: 23
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 Gigabyte AMD Cezanne 5 10 15 20 25 SE +/- 0.25, N = 4 22.34 MIN: 15.91 / MAX: 23.38
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 Gigabyte AMD Cezanne 5 10 15 20 25 SE +/- 0.07, N = 3 22.80 MIN: 20.02 / MAX: 23.68
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 Gigabyte AMD Cezanne 3 6 9 12 15 SE +/- 0.03, N = 3 9.85 MIN: 7.81 / MAX: 10.05
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 Gigabyte AMD Cezanne 5 10 15 20 25 SE +/- 0.30, N = 15 22.12 MIN: 14.47 / MAX: 23.62
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-152 Gigabyte AMD Cezanne 3 6 9 12 15 SE +/- 0.05, N = 3 9.97 MIN: 8.43 / MAX: 10.13
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: ResNet-50 Gigabyte AMD Cezanne 5 10 15 20 25 SE +/- 0.22, N = 3 22.47 MIN: 16.49 / MAX: 23.12
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-152 Gigabyte AMD Cezanne 3 6 9 12 15 SE +/- 0.09, N = 3 9.77 MIN: 7.4 / MAX: 10.27
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-152 Gigabyte AMD Cezanne 3 6 9 12 15 SE +/- 0.13, N = 3 9.86 MIN: 8.19 / MAX: 10.17
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: ResNet-152 Gigabyte AMD Cezanne 3 6 9 12 15 SE +/- 0.04, N = 3 9.91 MIN: 7.82 / MAX: 10.25
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l Gigabyte AMD Cezanne 3 6 9 12 15 SE +/- 0.05, N = 3 9.82 MIN: 9.33 / MAX: 10.03
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l Gigabyte AMD Cezanne 2 4 6 8 10 SE +/- 0.04, N = 3 6.64 MIN: 6.26 / MAX: 6.78
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l Gigabyte AMD Cezanne 2 4 6 8 10 SE +/- 0.03, N = 3 6.67 MIN: 5.57 / MAX: 6.84
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l Gigabyte AMD Cezanne 2 4 6 8 10 SE +/- 0.01, N = 3 6.70 MIN: 5.87 / MAX: 6.86
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l Gigabyte AMD Cezanne 2 4 6 8 10 SE +/- 0.06, N = 3 6.54 MIN: 5.64 / MAX: 6.78
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l Gigabyte AMD Cezanne 2 4 6 8 10 SE +/- 0.07, N = 3 6.63 MIN: 6.28 / MAX: 6.83
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Face Detection FP16 - Device: CPU Gigabyte AMD Cezanne 0.5243 1.0486 1.5729 2.0972 2.6215 SE +/- 0.00, N = 3 2.33 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Face Detection FP16 - Device: CPU Gigabyte AMD Cezanne 400 800 1200 1600 2000 SE +/- 2.03, N = 3 1717.77 MIN: 1652.72 / MAX: 1801.79 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU Gigabyte AMD Cezanne 5 10 15 20 25 SE +/- 0.25, N = 3 20.93 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU Gigabyte AMD Cezanne 40 80 120 160 200 SE +/- 2.27, N = 3 191.19 MIN: 163.9 / MAX: 229.45 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Person Detection FP32 - Device: CPU Gigabyte AMD Cezanne 5 10 15 20 25 SE +/- 0.05, N = 3 20.75 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Person Detection FP32 - Device: CPU Gigabyte AMD Cezanne 40 80 120 160 200 SE +/- 0.35, N = 3 192.62 MIN: 146.31 / MAX: 236.92 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Vehicle Detection FP16 - Device: CPU Gigabyte AMD Cezanne 30 60 90 120 150 SE +/- 0.72, N = 3 141.60 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Vehicle Detection FP16 - Device: CPU Gigabyte AMD Cezanne 7 14 21 28 35 SE +/- 0.15, N = 3 28.22 MIN: 10.42 / MAX: 48.81 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU Gigabyte AMD Cezanne 1.2218 2.4436 3.6654 4.8872 6.109 SE +/- 0.01, N = 3 5.43 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU Gigabyte AMD Cezanne 160 320 480 640 800 SE +/- 0.76, N = 3 735.62 MIN: 632.92 / MAX: 772.5 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Face Detection Retail FP16 - Device: CPU Gigabyte AMD Cezanne 120 240 360 480 600 SE +/- 3.74, N = 3 566.60 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Face Detection Retail FP16 - Device: CPU Gigabyte AMD Cezanne 2 4 6 8 10 SE +/- 0.05, N = 3 7.04 MIN: 3.67 / MAX: 21.69 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16 - Device: CPU Gigabyte AMD Cezanne 8 16 24 32 40 SE +/- 0.13, N = 3 35.50 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16 - Device: CPU Gigabyte AMD Cezanne 30 60 90 120 150 SE +/- 0.40, N = 3 112.57 MIN: 56.4 / MAX: 161.85 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU Gigabyte AMD Cezanne 70 140 210 280 350 SE +/- 1.34, N = 3 316.18 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU Gigabyte AMD Cezanne 3 6 9 12 15 SE +/- 0.06, N = 3 12.64 MIN: 6.09 / MAX: 25.31 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16 - Device: CPU Gigabyte AMD Cezanne 50 100 150 200 250 SE +/- 0.31, N = 3 221.88 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16 - Device: CPU Gigabyte AMD Cezanne 4 8 12 16 20 SE +/- 0.03, N = 3 18.01 MIN: 9.65 / MAX: 30.19 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU Gigabyte AMD Cezanne 200 400 600 800 1000 SE +/- 1.82, N = 3 1057.45 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU Gigabyte AMD Cezanne 0.8505 1.701 2.5515 3.402 4.2525 SE +/- 0.01, N = 3 3.78 MIN: 2.21 / MAX: 15.14 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU Gigabyte AMD Cezanne 30 60 90 120 150 SE +/- 1.63, N = 3 137.76 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU Gigabyte AMD Cezanne 7 14 21 28 35 SE +/- 0.34, N = 3 29.01 MIN: 14.31 / MAX: 39.92 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU Gigabyte AMD Cezanne 6 12 18 24 30 SE +/- 0.03, N = 3 26.59 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU Gigabyte AMD Cezanne 30 60 90 120 150 SE +/- 0.16, N = 3 150.28 MIN: 81.24 / MAX: 204.91 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU Gigabyte AMD Cezanne 110 220 330 440 550 SE +/- 0.23, N = 3 530.62 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU Gigabyte AMD Cezanne 4 8 12 16 20 SE +/- 0.01, N = 3 15.07 MIN: 8.85 / MAX: 26.65 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU Gigabyte AMD Cezanne 70 140 210 280 350 SE +/- 0.52, N = 3 313.92 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU Gigabyte AMD Cezanne 3 6 9 12 15 SE +/- 0.02, N = 3 12.72 MIN: 8.9 / MAX: 28.2 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16 - Device: CPU Gigabyte AMD Cezanne 20 40 60 80 100 SE +/- 0.29, N = 3 79.46 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16 - Device: CPU Gigabyte AMD Cezanne 20 40 60 80 100 SE +/- 0.37, N = 3 100.61 MIN: 59.85 / MAX: 131.6 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU Gigabyte AMD Cezanne 1400 2800 4200 5600 7000 SE +/- 76.74, N = 4 6531.91 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU Gigabyte AMD Cezanne 0.2723 0.5446 0.8169 1.0892 1.3615 SE +/- 0.01, N = 4 1.21 MIN: 0.67 / MAX: 19.3 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU Gigabyte AMD Cezanne 20 40 60 80 100 SE +/- 1.09, N = 4 88.84 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU Gigabyte AMD Cezanne 20 40 60 80 100 SE +/- 1.09, N = 4 90.05 MIN: 54.1 / MAX: 113.47 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU Gigabyte AMD Cezanne 3K 6K 9K 12K 15K SE +/- 22.37, N = 3 12840.80 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU Gigabyte AMD Cezanne 0.1395 0.279 0.4185 0.558 0.6975 SE +/- 0.00, N = 3 0.62 MIN: 0.33 / MAX: 12.03 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
Gigabyte AMD Cezanne Processor: AMD Ryzen 7 5700G @ 4.67GHz (8 Cores / 16 Threads), Motherboard: Gigabyte B550I AORUS PRO AX (F16e BIOS), Chipset: AMD Renoir/Cezanne, Memory: 64GB, Disk: 2000GB Western Digital WDS200T2B0C-00PXH0 + 1000GB KIOXIA-EXCERIA PRO SSD + 1000GB Western Digital WDS100T3X0C-00SJG0, Graphics: Gigabyte AMD Cezanne 512MB (2000/1600MHz), Audio: AMD Renoir Radeon HD Audio, Monitor: DIOS-LDH241D, Network: Realtek RTL8125 2.5GbE + MEDIATEK Device 0608
OS: Ubuntu 22.04, Kernel: 6.5.0-17-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server 1.21.1.4, OpenGL: 4.6 Mesa 23.3.0-devel (LLVM 17.0.4 DRM 3.56), OpenCL: OpenCL 1.1 Mesa 23.0.4-0ubuntu1~22.04.1 + OpenCL 2.1 AMD-APP (3602.0), Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --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: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa50000dGraphics Notes: GLAMOR - BAR1 / Visible vRAM Size: 512 MB - vBIOS Version: 13-CEZANNE-019Python Notes: Python 3.10.12Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 11 February 2024 12:05 by user ikuya.