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: Gemma-7b-int4-ov - CPU openvino-genai: TinyLlama-1.1B-Chat-v1.0 - CPU openvino-genai: Falcon-7b-instruct-int4-ov - CPU openvino-genai: Phi-3-mini-128k-instruct-int4-ov - CPU svt-av1: Preset 4 - Bosphorus 4K svt-av1: Preset 8 - Bosphorus 4K tensorflow: GPU - 1 - VGG-16 tensorflow: CPU - 1 - AlexNet tensorflow: CPU - 16 - VGG-16 tensorflow: CPU - 32 - VGG-16 tensorflow: CPU - 64 - VGG-16 tensorflow: GPU - 1 - AlexNet compress-7zip: Compression Rating tensorflow: GPU - 16 - VGG-16 compress-7zip: Decompression Rating svt-av1: Preset 8 - Bosphorus 1080p svt-av1: Preset 4 - Bosphorus 1080p tensorflow: CPU - 1 - VGG-16 tensorflow: GPU - 32 - VGG-16 tensorflow: GPU - 64 - VGG-16 tensorflow: CPU - 16 - AlexNet tensorflow: CPU - 256 - VGG-16 tensorflow: CPU - 32 - AlexNet tensorflow: CPU - 512 - VGG-16 tensorflow: CPU - 64 - AlexNet tensorflow: GPU - 16 - AlexNet tensorflow: GPU - 256 - VGG-16 tensorflow: GPU - 32 - AlexNet tensorflow: GPU - 512 - VGG-16 tensorflow: GPU - 64 - AlexNet tensorflow: CPU - 1 - GoogLeNet tensorflow: CPU - 1 - ResNet-50 tensorflow: CPU - 256 - AlexNet tensorflow: CPU - 512 - AlexNet tensorflow: GPU - 1 - GoogLeNet tensorflow: GPU - 1 - ResNet-50 tensorflow: GPU - 256 - AlexNet tensorflow: GPU - 512 - AlexNet tensorflow: CPU - 16 - GoogLeNet tensorflow: CPU - 16 - ResNet-50 tensorflow: CPU - 32 - GoogLeNet tensorflow: CPU - 32 - ResNet-50 tensorflow: CPU - 64 - GoogLeNet tensorflow: CPU - 64 - ResNet-50 tensorflow: GPU - 16 - GoogLeNet tensorflow: GPU - 16 - ResNet-50 tensorflow: GPU - 32 - GoogLeNet tensorflow: GPU - 32 - ResNet-50 tensorflow: GPU - 64 - GoogLeNet tensorflow: GPU - 64 - ResNet-50 tensorflow: CPU - 256 - GoogLeNet tensorflow: CPU - 256 - ResNet-50 tensorflow: CPU - 512 - GoogLeNet tensorflow: CPU - 512 - ResNet-50 tensorflow: GPU - 256 - GoogLeNet tensorflow: GPU - 256 - ResNet-50 tensorflow: GPU - 512 - GoogLeNet tensorflow: GPU - 512 - ResNet-50 pytorch: CPU - 1 - ResNet-50 pytorch: CPU - 1 - ResNet-152 pytorch: CPU - 16 - ResNet-50 pytorch: CPU - 32 - ResNet-50 pytorch: CPU - 64 - ResNet-50 pytorch: CPU - 16 - ResNet-152 pytorch: CPU - 256 - ResNet-50 pytorch: CPU - 32 - ResNet-152 pytorch: CPU - 512 - ResNet-50 pytorch: CPU - 64 - ResNet-152 pytorch: CPU - 256 - ResNet-152 pytorch: CPU - 512 - ResNet-152 pytorch: CPU - 1 - Efficientnet_v2_l pytorch: CPU - 16 - Efficientnet_v2_l pytorch: CPU - 32 - Efficientnet_v2_l pytorch: CPU - 64 - Efficientnet_v2_l pytorch: CPU - 256 - Efficientnet_v2_l pytorch: CPU - 512 - Efficientnet_v2_l whisper-cpp: ggml-base.en - 2016 State of the Union whisper-cpp: ggml-small.en - 2016 State of the Union whisper-cpp: ggml-medium.en - 2016 State of the Union compress-7zip: Compression Rating compress-7zip: Decompression Rating john-the-ripper: bcrypt john-the-ripper: WPA PSK john-the-ripper: Blowfish john-the-ripper: HMAC-SHA512 john-the-ripper: MD5 build-llvm: Ninja build-llvm: Unix Makefiles ffmpeg: libx264 - Live ffmpeg: libx265 - Live ffmpeg: libx264 - Upload ffmpeg: libx265 - Upload ffmpeg: libx264 - Platform ffmpeg: libx265 - Platform ffmpeg: libx264 - Video On Demand ffmpeg: libx265 - Video On Demand openvino-genai: Gemma-7b-int4-ov - CPU - Time To First Token openvino-genai: Gemma-7b-int4-ov - CPU - Time Per Output Token openvino-genai: TinyLlama-1.1B-Chat-v1.0 - CPU - Time To First Token openvino-genai: TinyLlama-1.1B-Chat-v1.0 - CPU - Time Per Output Token openvino-genai: Falcon-7b-instruct-int4-ov - CPU - Time To First Token openvino-genai: Falcon-7b-instruct-int4-ov - CPU - Time Per Output Token openvino-genai: Phi-3-mini-128k-instruct-int4-ov - CPU - Time To First Token openvino-genai: Phi-3-mini-128k-instruct-int4-ov - CPU - Time Per Output Token AMD Ryzen 9 7950X 16-Core 7.89 18.85 10.45 15.69 10.805 81.824 2.09 11.54 16.45 17.76 18.61 11.88 147842 2.53 162781 257.824 28.946 4.24 2.58 2.61 134.49 19.19 210.45 19.25 290.12 40.43 2.64 45.42 2.65 48.15 51.20 12.89 384.10 403.50 24.25 6.70 50.07 50.36 118.82 33.26 116.32 33.83 113.64 33.66 27.83 8.97 28.22 9.01 28.22 9.04 110.74 33.43 110.87 33.55 28.43 9.01 28.50 9.01 62.93 25.89 43.41 42.89 43.16 18.24 43.11 18.09 43.33 17.80 18.22 18.26 13.92 10.80 10.68 10.72 10.71 10.90 92.60867 259.85652 753.88513 150238 170934 44266 163571 44174 182728000 4252333 386.664 414.752 286.88 180.17 17.45 34.36 65.36 69.23 65.63 69.32 135.94 126.70 54.63 53.06 106.18 95.68 69.33 63.73 OpenBenchmarking.org
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 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 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
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: 1 - Model: VGG-16 AMD Ryzen 9 7950X 16-Core 0.4703 0.9406 1.4109 1.8812 2.3515 SE +/- 0.01, N = 3 2.09
7-Zip Compression 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
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: 16 - Model: VGG-16 AMD Ryzen 9 7950X 16-Core 0.5693 1.1386 1.7079 2.2772 2.8465 SE +/- 0.01, N = 3 2.53
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
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
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: CPU - Batch Size: 1 - Model: VGG-16 AMD Ryzen 9 7950X 16-Core 0.954 1.908 2.862 3.816 4.77 SE +/- 0.00, N = 3 4.24
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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 512 - Model: Efficientnet_v2_l AMD Ryzen 9 7950X 16-Core 3 6 9 12 15 SE +/- 0.03, N = 3 10.90 MIN: 9.08 / MAX: 11.2
Whisper.cpp 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
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-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
7-Zip Compression OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 24.05 Test: Compression Rating AMD Ryzen 9 7950X 16-Core 30K 60K 90K 120K 150K SE +/- 188.93, N = 3 150238 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
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
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 2023.03.14 Test: MD5 AMD Ryzen 9 7950X 16-Core 900K 1800K 2700K 3600K 4500K SE +/- 7218.80, N = 3 4252333 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: 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
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: 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: 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: 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: 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: 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: 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
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.