2024-12-04-1617 AMD Ryzen 9 7950X 16-Core testing with a MSI MPG X670E CARBON WIFI (MS-7D70) v1.0 (1.M1 BIOS) and NVIDIA GeForce RTX 4090 24GB on Ubuntu 24.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2412063-NOKI-202412076 AMD Ryzen 9 7950X 16-Core Processor: AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads), Motherboard: MSI MPG X670E CARBON WIFI (MS-7D70) v1.0 (1.M1 BIOS), Chipset: AMD Device 14d8, Memory: 4 x 48 GB DDR5-3600MT/s Kingston KF560C32-48, Disk: 4 x 2000GB Samsung SSD 980 PRO 2TB + 2 x 4001GB Samsung SSD 870 + 62GB USB DISK 2.0, Graphics: NVIDIA GeForce RTX 4090 24GB, Audio: NVIDIA AD102 HD Audio, Monitor: BenQ GW2270, Network: Realtek RTL8125 2.5GbE + MEDIATEK MT7922 802.11ax PCI
OS: Ubuntu 24.04, Kernel: 6.8.0-41-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server 1.21.1.11, Display Driver: nouveau, Compiler: GCC 13.2.0, File-System: tmpfs, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --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-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/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-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: 0xa601209Python Notes: Python 3.12.3Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected
2024-12-04-1617 OpenBenchmarking.org Phoronix Test Suite AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads) MSI MPG X670E CARBON WIFI (MS-7D70) v1.0 (1.M1 BIOS) AMD Device 14d8 4 x 48 GB DDR5-3600MT/s Kingston KF560C32-48 4 x 2000GB Samsung SSD 980 PRO 2TB + 2 x 4001GB Samsung SSD 870 + 62GB USB DISK 2.0 NVIDIA GeForce RTX 4090 24GB NVIDIA AD102 HD Audio BenQ GW2270 Realtek RTL8125 2.5GbE + MEDIATEK MT7922 802.11ax PCI Ubuntu 24.04 6.8.0-41-generic (x86_64) GNOME Shell 46.0 X Server 1.21.1.11 nouveau GCC 13.2.0 tmpfs 1920x1080 Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver Compiler File-System Screen Resolution 2024-12-04-1617 Benchmarks System Logs - Transparent Huge Pages: madvise - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --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-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/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-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: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa601209 - Python 3.12.3 - gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected
2024-12-04-1617 openvino-genai: Phi-3-mini-128k-instruct-int4-ov - CPU openvino-genai: Falcon-7b-instruct-int4-ov - CPU openvino-genai: TinyLlama-1.1B-Chat-v1.0 - CPU openvino-genai: Gemma-7b-int4-ov - CPU whisper-cpp: ggml-medium.en - 2016 State of the Union whisper-cpp: ggml-small.en - 2016 State of the Union whisper-cpp: ggml-base.en - 2016 State of the Union tensorflow: GPU - 512 - ResNet-50 tensorflow: GPU - 512 - GoogLeNet tensorflow: GPU - 256 - ResNet-50 tensorflow: GPU - 256 - GoogLeNet tensorflow: CPU - 512 - ResNet-50 tensorflow: CPU - 512 - GoogLeNet tensorflow: CPU - 256 - ResNet-50 tensorflow: CPU - 256 - GoogLeNet tensorflow: GPU - 64 - ResNet-50 tensorflow: GPU - 64 - GoogLeNet tensorflow: GPU - 32 - ResNet-50 tensorflow: GPU - 32 - GoogLeNet tensorflow: GPU - 16 - ResNet-50 tensorflow: GPU - 16 - GoogLeNet tensorflow: CPU - 64 - ResNet-50 tensorflow: CPU - 64 - GoogLeNet tensorflow: CPU - 32 - ResNet-50 tensorflow: CPU - 32 - GoogLeNet tensorflow: CPU - 16 - ResNet-50 tensorflow: CPU - 16 - GoogLeNet tensorflow: GPU - 512 - AlexNet tensorflow: GPU - 256 - AlexNet tensorflow: GPU - 1 - ResNet-50 tensorflow: GPU - 1 - GoogLeNet tensorflow: CPU - 512 - AlexNet tensorflow: CPU - 256 - AlexNet tensorflow: CPU - 1 - ResNet-50 tensorflow: CPU - 1 - GoogLeNet tensorflow: GPU - 64 - AlexNet tensorflow: GPU - 512 - VGG-16 tensorflow: GPU - 32 - AlexNet tensorflow: GPU - 256 - VGG-16 tensorflow: GPU - 16 - AlexNet tensorflow: CPU - 64 - AlexNet tensorflow: CPU - 512 - VGG-16 tensorflow: CPU - 32 - AlexNet tensorflow: CPU - 256 - VGG-16 tensorflow: CPU - 16 - AlexNet tensorflow: GPU - 64 - VGG-16 tensorflow: GPU - 32 - VGG-16 tensorflow: GPU - 16 - VGG-16 tensorflow: GPU - 1 - AlexNet tensorflow: CPU - 64 - VGG-16 tensorflow: CPU - 32 - VGG-16 tensorflow: CPU - 16 - VGG-16 tensorflow: CPU - 1 - AlexNet tensorflow: GPU - 1 - VGG-16 tensorflow: CPU - 1 - VGG-16 pytorch: CPU - 512 - Efficientnet_v2_l pytorch: CPU - 256 - Efficientnet_v2_l pytorch: CPU - 64 - Efficientnet_v2_l pytorch: CPU - 32 - Efficientnet_v2_l pytorch: CPU - 16 - Efficientnet_v2_l pytorch: CPU - 1 - Efficientnet_v2_l pytorch: CPU - 512 - ResNet-152 pytorch: CPU - 256 - ResNet-152 pytorch: CPU - 64 - ResNet-152 pytorch: CPU - 512 - ResNet-50 pytorch: CPU - 32 - ResNet-152 pytorch: CPU - 256 - ResNet-50 pytorch: CPU - 16 - ResNet-152 pytorch: CPU - 64 - ResNet-50 pytorch: CPU - 32 - ResNet-50 pytorch: CPU - 16 - ResNet-50 pytorch: CPU - 1 - ResNet-152 pytorch: CPU - 1 - ResNet-50 build-llvm: Unix Makefiles build-llvm: Ninja compress-7zip: Decompression Rating compress-7zip: Compression Rating compress-7zip: Decompression Rating compress-7zip: Compression Rating svt-av1: Preset 8 - Bosphorus 1080p svt-av1: Preset 4 - Bosphorus 1080p svt-av1: Preset 8 - Bosphorus 4K svt-av1: Preset 4 - Bosphorus 4K john-the-ripper: MD5 john-the-ripper: HMAC-SHA512 john-the-ripper: Blowfish john-the-ripper: WPA PSK john-the-ripper: bcrypt ffmpeg: libx265 - Video On Demand ffmpeg: libx264 - Video On Demand ffmpeg: libx265 - Platform ffmpeg: libx264 - Platform ffmpeg: libx265 - Upload ffmpeg: libx264 - Upload ffmpeg: libx265 - Live ffmpeg: libx264 - Live openvino-genai: Phi-3-mini-128k-instruct-int4-ov - CPU - Time Per Output Token openvino-genai: Phi-3-mini-128k-instruct-int4-ov - CPU - Time To First Token openvino-genai: Falcon-7b-instruct-int4-ov - CPU - Time Per Output Token openvino-genai: Falcon-7b-instruct-int4-ov - CPU - Time To First Token openvino-genai: TinyLlama-1.1B-Chat-v1.0 - CPU - Time Per Output Token openvino-genai: TinyLlama-1.1B-Chat-v1.0 - CPU - Time To First Token openvino-genai: Gemma-7b-int4-ov - CPU - Time Per Output Token openvino-genai: Gemma-7b-int4-ov - CPU - Time To First Token AMD Ryzen 9 7950X 16-Core 15.69 10.45 18.85 7.89 753.88513 259.85652 92.60867 9.01 28.50 9.01 28.43 33.55 110.87 33.43 110.74 9.04 28.22 9.01 28.22 8.97 27.83 33.66 113.64 33.83 116.32 33.26 118.82 50.36 50.07 6.70 24.25 403.50 384.10 12.89 51.20 48.15 2.65 45.42 2.64 40.43 290.12 19.25 210.45 19.19 134.49 2.61 2.58 2.53 11.88 18.61 17.76 16.45 11.54 2.09 4.24 10.90 10.71 10.72 10.68 10.80 13.92 18.26 18.22 17.80 43.33 18.09 43.11 18.24 43.16 42.89 43.41 25.89 62.93 414.752 386.664 162781 147842 170934 150238 257.824 28.946 81.824 10.805 4252333 182728000 44174 163571 44266 69.32 65.63 69.23 65.36 34.36 17.45 180.17 286.88 63.73 69.33 95.68 106.18 53.06 54.63 126.70 135.94 OpenBenchmarking.org
Whisper.cpp OpenBenchmarking.org Seconds, Fewer Is Better Whisper.cpp 1.6.2 Model: ggml-medium.en - Input: 2016 State of the Union AMD Ryzen 9 7950X 16-Core 160 320 480 640 800 SE +/- 1.36, N = 3 753.89 1. (CXX) g++ options: -O3 -std=c++11 -fPIC -pthread -msse3 -mssse3 -mavx -mf16c -mfma -mavx2 -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni
OpenBenchmarking.org Seconds, Fewer Is Better Whisper.cpp 1.6.2 Model: ggml-small.en - Input: 2016 State of the Union AMD Ryzen 9 7950X 16-Core 60 120 180 240 300 SE +/- 0.32, N = 3 259.86 1. (CXX) g++ options: -O3 -std=c++11 -fPIC -pthread -msse3 -mssse3 -mavx -mf16c -mfma -mavx2 -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni
OpenBenchmarking.org Seconds, Fewer Is Better Whisper.cpp 1.6.2 Model: ggml-base.en - Input: 2016 State of the Union AMD Ryzen 9 7950X 16-Core 20 40 60 80 100 SE +/- 0.23, N = 3 92.61 1. (CXX) g++ options: -O3 -std=c++11 -fPIC -pthread -msse3 -mssse3 -mavx -mf16c -mfma -mavx2 -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni
TensorFlow This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: GPU - Batch Size: 512 - Model: ResNet-50 AMD Ryzen 9 7950X 16-Core 3 6 9 12 15 SE +/- 0.04, N = 3 9.01
OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: GPU - Batch Size: 512 - Model: VGG-16 AMD Ryzen 9 7950X 16-Core 0.5963 1.1926 1.7889 2.3852 2.9815 SE +/- 0.00, N = 3 2.65
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l AMD Ryzen 9 7950X 16-Core 3 6 9 12 15 SE +/- 0.01, N = 3 10.71 MIN: 8.83 / MAX: 11.09
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l AMD Ryzen 9 7950X 16-Core 3 6 9 12 15 SE +/- 0.09, N = 3 10.72 MIN: 8.64 / MAX: 11.15
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l AMD Ryzen 9 7950X 16-Core 3 6 9 12 15 SE +/- 0.01, N = 3 10.68 MIN: 8.73 / MAX: 11.11
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l AMD Ryzen 9 7950X 16-Core 3 6 9 12 15 SE +/- 0.15, N = 3 10.80 MIN: 8.55 / MAX: 11.28
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l AMD Ryzen 9 7950X 16-Core 4 8 12 16 20 SE +/- 0.11, N = 3 13.92 MIN: 13.59 / MAX: 14.24
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 512 - Model: ResNet-152 AMD Ryzen 9 7950X 16-Core 4 8 12 16 20 SE +/- 0.11, N = 3 18.26 MIN: 17.68 / MAX: 18.59
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 256 - Model: ResNet-152 AMD Ryzen 9 7950X 16-Core 4 8 12 16 20 SE +/- 0.14, N = 3 18.22 MIN: 17.5 / MAX: 18.6
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 64 - Model: ResNet-152 AMD Ryzen 9 7950X 16-Core 4 8 12 16 20 SE +/- 0.05, N = 3 17.80 MIN: 17.31 / MAX: 18.07
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 512 - Model: ResNet-50 AMD Ryzen 9 7950X 16-Core 10 20 30 40 50 SE +/- 0.13, N = 3 43.33 MIN: 40.95 / MAX: 43.88
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 32 - Model: ResNet-152 AMD Ryzen 9 7950X 16-Core 4 8 12 16 20 SE +/- 0.15, N = 3 18.09 MIN: 17.52 / MAX: 18.48
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 AMD Ryzen 9 7950X 16-Core 10 20 30 40 50 SE +/- 0.33, N = 3 43.11 MIN: 40.78 / MAX: 44.21
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 AMD Ryzen 9 7950X 16-Core 4 8 12 16 20 SE +/- 0.04, N = 3 18.24 MIN: 17.72 / MAX: 18.43
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 AMD Ryzen 9 7950X 16-Core 10 20 30 40 50 SE +/- 0.43, N = 3 43.16 MIN: 40.82 / MAX: 44.23
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 AMD Ryzen 9 7950X 16-Core 10 20 30 40 50 SE +/- 0.25, N = 3 42.89 MIN: 40.6 / MAX: 43.82
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 AMD Ryzen 9 7950X 16-Core 10 20 30 40 50 SE +/- 0.48, N = 5 43.41 MIN: 39.89 / MAX: 44.61
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 AMD Ryzen 9 7950X 16-Core 6 12 18 24 30 SE +/- 0.21, N = 3 25.89 MIN: 22.3 / MAX: 26.4
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 AMD Ryzen 9 7950X 16-Core 14 28 42 56 70 SE +/- 0.20, N = 3 62.93 MIN: 45.93 / MAX: 66.01
7-Zip Compression OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression Test: Decompression Rating AMD Ryzen 9 7950X 16-Core 30K 60K 90K 120K 150K SE +/- 168.14, N = 3 162781 1. 7-Zip 23.01 (x64) : Copyright (c) 1999-2023 Igor Pavlov : 2023-06-20
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression Test: Compression Rating AMD Ryzen 9 7950X 16-Core 30K 60K 90K 120K 150K SE +/- 121.76, N = 3 147842 1. 7-Zip 23.01 (x64) : Copyright (c) 1999-2023 Igor Pavlov : 2023-06-20
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 8 - Input: Bosphorus 1080p AMD Ryzen 9 7950X 16-Core 60 120 180 240 300 SE +/- 0.25, N = 3 257.82 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 AMD Ryzen 9 7950X 16-Core 7 14 21 28 35 SE +/- 0.15, N = 3 28.95 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 AMD Ryzen 9 7950X 16-Core 20 40 60 80 100 SE +/- 0.20, N = 3 81.82 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 4K AMD Ryzen 9 7950X 16-Core 3 6 9 12 15 SE +/- 0.04, N = 3 10.81 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 2023.03.14 Test: HMAC-SHA512 AMD Ryzen 9 7950X 16-Core 40M 80M 120M 160M 200M SE +/- 430001.55, N = 3 182728000 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt
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 7.0 Encoder: libx265 - Scenario: Video On Demand AMD Ryzen 9 7950X 16-Core 15 30 45 60 75 SE +/- 0.23, N = 3 69.32 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl
OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx264 - Scenario: Video On Demand AMD Ryzen 9 7950X 16-Core 15 30 45 60 75 SE +/- 0.39, N = 3 65.63 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl
OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx265 - Scenario: Platform AMD Ryzen 9 7950X 16-Core 15 30 45 60 75 SE +/- 0.10, N = 3 69.23 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl
OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx264 - Scenario: Platform AMD Ryzen 9 7950X 16-Core 15 30 45 60 75 SE +/- 0.11, N = 3 65.36 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl
OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx265 - Scenario: Upload AMD Ryzen 9 7950X 16-Core 8 16 24 32 40 SE +/- 0.12, N = 3 34.36 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl
OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx264 - Scenario: Upload AMD Ryzen 9 7950X 16-Core 4 8 12 16 20 SE +/- 0.07, N = 3 17.45 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl
OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx265 - Scenario: Live AMD Ryzen 9 7950X 16-Core 40 80 120 160 200 SE +/- 0.04, N = 3 180.17 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl
OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx264 - Scenario: Live AMD Ryzen 9 7950X 16-Core 60 120 180 240 300 SE +/- 0.63, N = 3 286.88 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl
AMD Ryzen 9 7950X 16-Core Processor: AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads), Motherboard: MSI MPG X670E CARBON WIFI (MS-7D70) v1.0 (1.M1 BIOS), Chipset: AMD Device 14d8, Memory: 4 x 48 GB DDR5-3600MT/s Kingston KF560C32-48, Disk: 4 x 2000GB Samsung SSD 980 PRO 2TB + 2 x 4001GB Samsung SSD 870 + 62GB USB DISK 2.0, Graphics: NVIDIA GeForce RTX 4090 24GB, Audio: NVIDIA AD102 HD Audio, Monitor: BenQ GW2270, Network: Realtek RTL8125 2.5GbE + MEDIATEK MT7922 802.11ax PCI
OS: Ubuntu 24.04, Kernel: 6.8.0-41-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server 1.21.1.11, Display Driver: nouveau, Compiler: GCC 13.2.0, File-System: tmpfs, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --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-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/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-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: 0xa601209Python Notes: Python 3.12.3Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 4 December 2024 16:17 by user nokitakaze.