sssf AMD Ryzen 7 4700U testing with a LENOVO IdeaPad 5 14ARE05 LNVNB161216 (DTCN18WWV1.04 BIOS) and AMD Renoir 512MB on Fedora Linux 39 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2404106-NE-SSSF4057672&grr .
sssf Processor Motherboard Chipset Memory Disk Graphics Audio Network OS Kernel Desktop Display Server OpenGL Compiler File-System Screen Resolution a b c AMD Ryzen 7 4700U @ 2.00GHz (8 Cores) LENOVO IdeaPad 5 14ARE05 LNVNB161216 (DTCN18WWV1.04 BIOS) AMD Renoir/Cezanne 2 x 8GB DDR4-3200MT/s Samsung M471A1G44AB0-CWE 512GB SAMSUNG MZALQ512HALU-000L2 AMD Renoir 512MB AMD Renoir Radeon HD Audio Intel Wi-Fi 6 AX200 Fedora Linux 39 6.5.7-300.fc39.x86_64 (x86_64) GNOME Shell 45.0 X Server + Wayland 4.6 Mesa 23.2.1 (LLVM 16.0.6 DRM 3.54) GCC 13.2.1 20230918 btrfs 1920x1080 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler Details - --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-initfini-array --enable-languages=c,c++,fortran,objc,obj-c++,ada,go,d,m2,lto --enable-libstdcxx-backtrace --enable-link-serialization=1 --enable-multilib --enable-offload-defaulted --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=i686 --with-build-config=bootstrap-lto --with-gcc-major-version-only --with-libstdcxx-zoneinfo=/usr/share/zoneinfo --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver Processor Details - Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - Platform Profile: balanced - CPU Microcode: 0x8600102 - ACPI Profile: balanced Python Details - Python 3.12.0 Security Details - SELinux + gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT disabled + spec_rstack_overflow: Mitigation of SMT disabled + 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 STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
sssf blender: Barbershop - CPU-Only blender: Pabellon Barcelona - CPU-Only blender: Classroom - CPU-Only brl-cad: VGR Performance Metric pytorch: CPU - 16 - Efficientnet_v2_l astcenc: Very Thorough astcenc: Exhaustive blender: Junkshop - CPU-Only primesieve: 1e13 blender: Fishy Cat - CPU-Only ffmpeg: libx265 - Platform ffmpeg: libx265 - Video On Demand specfem3d: Water-layered Halfspace pytorch: CPU - 16 - ResNet-152 specfem3d: Layered Halfspace ffmpeg: libx265 - Upload ffmpeg: libx264 - Upload blender: BMW27 - CPU-Only tensorflow: CPU - 16 - ResNet-50 build-linux-kernel: defconfig pytorch: CPU - 1 - Efficientnet_v2_l ffmpeg: libx264 - Video On Demand ffmpeg: libx264 - Platform stockfish: Chess Benchmark specfem3d: Homogeneous Halfspace pytorch: CPU - 16 - ResNet-50 astcenc: Thorough jpegxl: PNG - 80 build-ffmpeg: Time To Compile build-php: Time To Compile jpegxl: JPEG - 80 ffmpeg: libx265 - Live pytorch: CPU - 1 - ResNet-152 specfem3d: Tomographic Model specfem3d: Mount St. Helens tensorflow: CPU - 16 - GoogLeNet onednn: Recurrent Neural Network Training - CPU jpegxl: PNG - 90 jpegxl: JPEG - 90 v-ray: CPU onednn: Recurrent Neural Network Inference - CPU x265: Bosphorus 4K jpegxl: PNG - 100 svt-av1: Preset 4 - Bosphorus 4K build-mesa: Time To Compile jpegxl: JPEG - 100 openvino: Face Detection FP16 - CPU openvino: Face Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection FP16-INT8 - CPU astcenc: Fast openvino: Machine Translation EN To DE FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Person Detection FP32 - CPU graphics-magick: Sharpen openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16 - CPU openvino: Road Segmentation ADAS FP16 - CPU openvino: Noise Suppression Poconet-Like FP16 - CPU openvino: Noise Suppression Poconet-Like FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU graphics-magick: Noise-Gaussian openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Person Re-Identification Retail FP16 - CPU openvino: Person Re-Identification Retail FP16 - CPU graphics-magick: Swirl openvino: Face Detection Retail FP16-INT8 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Weld Porosity Detection FP16 - CPU graphics-magick: Resizing graphics-magick: Rotate graphics-magick: Enhanced openvino: Face Detection Retail FP16 - CPU openvino: Face Detection Retail FP16 - CPU rocksdb: Overwrite openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU graphics-magick: HWB Color Space openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU rocksdb: Update Rand rocksdb: Read Rand Write Rand rocksdb: Read While Writing rocksdb: Rand Read pytorch: CPU - 1 - ResNet-50 tensorflow: CPU - 16 - AlexNet ffmpeg: libx264 - Live jpegxl-decode: 1 svt-av1: Preset 8 - Bosphorus 4K astcenc: Medium jpegxl-decode: All primesieve: 1e12 tensorflow: CPU - 1 - ResNet-50 tensorflow: CPU - 1 - AlexNet svt-av1: Preset 4 - Bosphorus 1080p onednn: Deconvolution Batch shapes_1d - CPU srsran: PUSCH Processor Benchmark, Throughput Thread svt-av1: Preset 12 - Bosphorus 4K svt-av1: Preset 13 - Bosphorus 4K x265: Bosphorus 1080p encode-wavpack: WAV To WavPack tensorflow: CPU - 1 - GoogLeNet onednn: IP Shapes 1D - CPU compress-pbzip2: FreeBSD-13.0-RELEASE-amd64-memstick.img Compression svt-av1: Preset 8 - Bosphorus 1080p srsran: PDSCH Processor Benchmark, Throughput Total draco: Church Facade onednn: IP Shapes 3D - CPU srsran: PUSCH Processor Benchmark, Throughput Total draco: Lion srsran: PDSCH Processor Benchmark, Throughput Thread onednn: Convolution Batch Shapes Auto - CPU svt-av1: Preset 12 - Bosphorus 1080p onednn: Deconvolution Batch shapes_3d - CPU svt-av1: Preset 13 - Bosphorus 1080p a b c 3268.88 1045.17 806.41 81913 3.44 0.4714 0.2888 441.96 411.773 396.25 21.77 21.87 336.898362583 5.49 300.039407534 10.60 11.24 300.58 6.26 259.938 5.22 42.54 42.56 5533248 150.485004303 12.07 3.5163 14.707 130.236 127.015 15.536 51.97 9.20 112.989570319 105.866882217 19 5359.87 14.006 13.914 6370 3026.7 7.79 6.478 2.21 72.003 6.841 2574.13 1.54 1943.55 2.06 87.9749 223.74 17.86 301.78 13.24 299.34 13.34 24 65.47 61.04 211.4 18.91 19.4 205.26 21.19 188.54 33 30.68 130.24 69.38 57.6 73.18 54.62 18.06 221.06 68 8.64 461.19 42.99 92.95 18.74 213.14 26.74 149.46 139 131 21 10.46 381.36 552729 0.76 5124.53 209 1.51 2601.61 323621 769845 658357 20818470 21.12 33.88 175.19 57.277 14.329 31.6593 221.852 31.719 4.24 4.49 7.106 8.12705 111.9 34.13 34.126 36.1 16.136 9.23 8.11905 15.432197 47.826 1947.5 9133 15.9289 656.1 6118 472.4 32.7838 183.045 10.9677 219.891 3274.13 1039.56 807.75 81825 3.47 0.4715 0.2891 437.43 411.416 398.84 21.87 21.96 332.366901074 5.49 302.058029556 10.64 11.25 294.65 6.41 258.859 5.23 42.24 42.23 5622274 150.519138496 12.18 3.5343 14.702 130.077 125.72 15.696 52.23 9.41 113.075662554 105.488589079 19.18 5253.25 13.897 13.968 6370 3021.36 7.76 6.492 2.217 72.555 6.875 2546.92 1.57 1942.45 2.06 88.2531 232.42 17.19 301.71 13.23 300.92 13.28 25 63.87 62.57 209.84 19.04 19.42 204.99 21.21 188.32 33 30.75 129.94 67.18 59.5 73.06 54.71 18.04 221.31 68 8.59 464.04 43.3 92.28 19.53 204.55 26.97 148.14 140 134 21 10.45 381.71 558575 0.76 5125.62 212 1.47 2665.57 325226 772918 698869 20769467 21.11 32.98 173.63 58.162 14.827 31.8558 224.119 31.533 4.24 4.5 7.073 8.04835 111.9 40.185 39.985 37.43 16.389 9.13 8.24092 14.952377 48.692 1907.6 9108 15.9441 656.3 6071 482.9 32.1374 186.173 10.7616 230.193 3250.72 1043.53 808.04 81286 3.45 0.4737 0.2893 435.71 407.804 396.96 21.96 21.89 331.583361212 5.38 291.621666806 10.69 11.32 293.87 6.44 259.535 5.27 42.59 42.65 5629735 149.793734075 11.94 3.5269 14.737 130.418 125.356 15.633 52.60 9.33 112.915171252 104.934853597 19.27 5265.53 13.852 14.177 6304 3027.51 7.7 6.802 2.216 72.318 6.409 2556.28 1.56 1936.65 2.06 88.2486 231.91 17.23 299.83 13.34 299.04 13.35 23 64.34 62.13 210.13 19.02 19.43 204.83 21.13 189.06 33 30.67 130.31 69.32 57.66 73.01 54.75 18.02 221.65 68 8.59 464.13 42.99 92.95 19.51 204.82 26.82 149.03 139 133 21 10.43 382.49 553291 0.76 5091.9 213 1.49 2631.67 324608 772309 689750 20768941 20.33 32.39 176.55 58.363 14.74 31.9247 223.598 30.749 4.27 4.5 7.164 7.88149 111.9 39.19 39.948 36.95 16.223 9.08 8.09509 14.6706 49.125 1910.4 9062 15.9424 656 6043 483.3 32.0707 183.615 10.5386 225.406 OpenBenchmarking.org
Blender Blend File: Barbershop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: Barbershop - Compute: CPU-Only a b c 700 1400 2100 2800 3500 3268.88 3274.13 3250.72
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: Pabellon Barcelona - Compute: CPU-Only a b c 200 400 600 800 1000 1045.17 1039.56 1043.53
Blender Blend File: Classroom - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: Classroom - Compute: CPU-Only a b c 200 400 600 800 1000 806.41 807.75 808.04
BRL-CAD VGR Performance Metric OpenBenchmarking.org VGR Performance Metric, More Is Better BRL-CAD 7.38.2 VGR Performance Metric a b c 20K 40K 60K 80K 100K 81913 81825 81286 1. (CXX) g++ options: -std=c++17 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lnetpbm -lregex_brl -lz_brl -lassimp -ldl -lm -ltk8.6
PyTorch Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l a b c 0.7808 1.5616 2.3424 3.1232 3.904 3.44 3.47 3.45 MIN: 2.91 / MAX: 3.57 MIN: 2.88 / MAX: 3.71 MIN: 2.79 / MAX: 3.57
ASTC Encoder Preset: Very Thorough OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.7 Preset: Very Thorough a b c 0.1066 0.2132 0.3198 0.4264 0.533 0.4714 0.4715 0.4737 1. (CXX) g++ options: -O3 -flto -pthread
ASTC Encoder Preset: Exhaustive OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.7 Preset: Exhaustive a b c 0.0651 0.1302 0.1953 0.2604 0.3255 0.2888 0.2891 0.2893 1. (CXX) g++ options: -O3 -flto -pthread
Blender Blend File: Junkshop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: Junkshop - Compute: CPU-Only a b c 100 200 300 400 500 441.96 437.43 435.71
Primesieve Length: 1e13 OpenBenchmarking.org Seconds, Fewer Is Better Primesieve 12.1 Length: 1e13 a b c 90 180 270 360 450 411.77 411.42 407.80 1. (CXX) g++ options: -O3
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: Fishy Cat - Compute: CPU-Only a b c 90 180 270 360 450 396.25 398.84 396.96
FFmpeg Encoder: libx265 - Scenario: Platform OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx265 - Scenario: Platform a b c 5 10 15 20 25 21.77 21.87 21.96 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl
FFmpeg Encoder: libx265 - Scenario: Video On Demand OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx265 - Scenario: Video On Demand a b c 5 10 15 20 25 21.87 21.96 21.89 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl
SPECFEM3D Model: Water-layered Halfspace OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.1.1 Model: Water-layered Halfspace a b c 70 140 210 280 350 336.90 332.37 331.58 1. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi
PyTorch Device: CPU - Batch Size: 16 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 a b c 1.2353 2.4706 3.7059 4.9412 6.1765 5.49 5.49 5.38 MIN: 3.97 / MAX: 5.77 MIN: 4.29 / MAX: 5.78 MIN: 3.94 / MAX: 5.54
SPECFEM3D Model: Layered Halfspace OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.1.1 Model: Layered Halfspace a b c 70 140 210 280 350 300.04 302.06 291.62 1. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi
FFmpeg Encoder: libx265 - Scenario: Upload OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx265 - Scenario: Upload a b c 3 6 9 12 15 10.60 10.64 10.69 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl
FFmpeg Encoder: libx264 - Scenario: Upload OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx264 - Scenario: Upload a b c 3 6 9 12 15 11.24 11.25 11.32 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: BMW27 - Compute: CPU-Only a b c 70 140 210 280 350 300.58 294.65 293.87
TensorFlow Device: CPU - Batch Size: 16 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 a b c 2 4 6 8 10 6.26 6.41 6.44
Timed Linux Kernel Compilation Build: defconfig OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.8 Build: defconfig a b c 60 120 180 240 300 259.94 258.86 259.54
PyTorch Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l a b c 1.1858 2.3716 3.5574 4.7432 5.929 5.22 5.23 5.27 MIN: 3.69 / MAX: 5.38 MIN: 3.92 / MAX: 5.41 MIN: 3.95 / MAX: 5.39
FFmpeg Encoder: libx264 - Scenario: Video On Demand OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx264 - Scenario: Video On Demand a b c 10 20 30 40 50 42.54 42.24 42.59 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl
FFmpeg Encoder: libx264 - Scenario: Platform OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx264 - Scenario: Platform a b c 10 20 30 40 50 42.56 42.23 42.65 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl
Stockfish Chess Benchmark OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 16.1 Chess Benchmark a b c 1.2M 2.4M 3.6M 4.8M 6M 5533248 5622274 5629735 1. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -funroll-loops -msse -msse3 -mpopcnt -mavx2 -mbmi -msse4.1 -mssse3 -msse2 -flto -flto-partition=one -flto=jobserver
SPECFEM3D Model: Homogeneous Halfspace OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.1.1 Model: Homogeneous Halfspace a b c 30 60 90 120 150 150.49 150.52 149.79 1. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi
PyTorch Device: CPU - Batch Size: 16 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 a b c 3 6 9 12 15 12.07 12.18 11.94 MIN: 7.21 / MAX: 12.43 MIN: 7.25 / MAX: 12.56 MIN: 6.82 / MAX: 12.4
ASTC Encoder Preset: Thorough OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.7 Preset: Thorough a b c 0.7952 1.5904 2.3856 3.1808 3.976 3.5163 3.5343 3.5269 1. (CXX) g++ options: -O3 -flto -pthread
JPEG-XL libjxl Input: PNG - Quality: 80 OpenBenchmarking.org MP/s, More Is Better JPEG-XL libjxl 0.10.1 Input: PNG - Quality: 80 a b c 4 8 12 16 20 14.71 14.70 14.74 1. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm
Timed FFmpeg Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 7.0 Time To Compile a b c 30 60 90 120 150 130.24 130.08 130.42
Timed PHP Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed PHP Compilation 8.3.4 Time To Compile a b c 30 60 90 120 150 127.02 125.72 125.36
JPEG-XL libjxl Input: JPEG - Quality: 80 OpenBenchmarking.org MP/s, More Is Better JPEG-XL libjxl 0.10.1 Input: JPEG - Quality: 80 a b c 4 8 12 16 20 15.54 15.70 15.63 1. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm
FFmpeg Encoder: libx265 - Scenario: Live OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx265 - Scenario: Live a b c 12 24 36 48 60 51.97 52.23 52.60 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl
PyTorch Device: CPU - Batch Size: 1 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 a b c 3 6 9 12 15 9.20 9.41 9.33 MIN: 6.17 / MAX: 9.47 MIN: 6.56 / MAX: 9.77 MIN: 6.13 / MAX: 9.65
SPECFEM3D Model: Tomographic Model OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.1.1 Model: Tomographic Model a b c 30 60 90 120 150 112.99 113.08 112.92 1. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi
SPECFEM3D Model: Mount St. Helens OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.1.1 Model: Mount St. Helens a b c 20 40 60 80 100 105.87 105.49 104.93 1. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi
TensorFlow Device: CPU - Batch Size: 16 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 16 - Model: GoogLeNet a b c 5 10 15 20 25 19.00 19.18 19.27
oneDNN Harness: Recurrent Neural Network Training - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.4 Harness: Recurrent Neural Network Training - Engine: CPU a b c 1100 2200 3300 4400 5500 5359.87 5253.25 5265.53 MIN: 5280.39 MIN: 5190.82 MIN: 5196.05 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
JPEG-XL libjxl Input: PNG - Quality: 90 OpenBenchmarking.org MP/s, More Is Better JPEG-XL libjxl 0.10.1 Input: PNG - Quality: 90 a b c 4 8 12 16 20 14.01 13.90 13.85 1. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm
JPEG-XL libjxl Input: JPEG - Quality: 90 OpenBenchmarking.org MP/s, More Is Better JPEG-XL libjxl 0.10.1 Input: JPEG - Quality: 90 a b c 4 8 12 16 20 13.91 13.97 14.18 1. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm
Chaos Group V-RAY Mode: CPU OpenBenchmarking.org vsamples, More Is Better Chaos Group V-RAY 6.0 Mode: CPU a b c 1400 2800 4200 5600 7000 6370 6370 6304
oneDNN Harness: Recurrent Neural Network Inference - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.4 Harness: Recurrent Neural Network Inference - Engine: CPU a b c 600 1200 1800 2400 3000 3026.70 3021.36 3027.51 MIN: 2994.53 MIN: 2987.94 MIN: 2992.07 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
x265 Video Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better x265 3.6 Video Input: Bosphorus 4K a b c 2 4 6 8 10 7.79 7.76 7.70 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl
JPEG-XL libjxl Input: PNG - Quality: 100 OpenBenchmarking.org MP/s, More Is Better JPEG-XL libjxl 0.10.1 Input: PNG - Quality: 100 a b c 2 4 6 8 10 6.478 6.492 6.802 1. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm
SVT-AV1 Encoder Mode: Preset 4 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.0 Encoder Mode: Preset 4 - Input: Bosphorus 4K a b c 0.4988 0.9976 1.4964 1.9952 2.494 2.210 2.217 2.216 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
Timed Mesa Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Mesa Compilation 24.0 Time To Compile a b c 16 32 48 64 80 72.00 72.56 72.32
JPEG-XL libjxl Input: JPEG - Quality: 100 OpenBenchmarking.org MP/s, More Is Better JPEG-XL libjxl 0.10.1 Input: JPEG - Quality: 100 a b c 2 4 6 8 10 6.841 6.875 6.409 1. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Face Detection FP16 - Device: CPU a b c 600 1200 1800 2400 3000 2574.13 2546.92 2556.28 MIN: 2254.74 / MAX: 2653.31 MIN: 2513.86 / MAX: 2601.8 MIN: 2468.67 / MAX: 2640.12 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Face Detection FP16 - Device: CPU a b c 0.3533 0.7066 1.0599 1.4132 1.7665 1.54 1.57 1.56 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Face Detection FP16-INT8 - Device: CPU a b c 400 800 1200 1600 2000 1943.55 1942.45 1936.65 MIN: 1925.71 / MAX: 1960.88 MIN: 1920.45 / MAX: 1959.28 MIN: 1865.27 / MAX: 1956.95 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Face Detection FP16-INT8 - Device: CPU a b c 0.4635 0.927 1.3905 1.854 2.3175 2.06 2.06 2.06 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
ASTC Encoder Preset: Fast OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.7 Preset: Fast a b c 20 40 60 80 100 87.97 88.25 88.25 1. (CXX) g++ options: -O3 -flto -pthread
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Machine Translation EN To DE FP16 - Device: CPU a b c 50 100 150 200 250 223.74 232.42 231.91 MIN: 170.02 / MAX: 251.76 MIN: 198.56 / MAX: 274.36 MIN: 207.67 / MAX: 260 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Machine Translation EN To DE FP16 - Device: CPU a b c 4 8 12 16 20 17.86 17.19 17.23 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Person Detection FP16 - Device: CPU a b c 70 140 210 280 350 301.78 301.71 299.83 MIN: 243.96 / MAX: 331.21 MIN: 173.37 / MAX: 328.62 MIN: 260.47 / MAX: 328.92 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Person Detection FP16 - Device: CPU a b c 3 6 9 12 15 13.24 13.23 13.34 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Person Detection FP32 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Person Detection FP32 - Device: CPU a b c 70 140 210 280 350 299.34 300.92 299.04 MIN: 182.42 / MAX: 332.88 MIN: 245.35 / MAX: 326.58 MIN: 162.63 / MAX: 543.61 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Person Detection FP32 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Person Detection FP32 - Device: CPU a b c 3 6 9 12 15 13.34 13.28 13.35 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
GraphicsMagick Operation: Sharpen OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.43 Operation: Sharpen a b c 6 12 18 24 30 24 25 23 1. (CC) gcc options: -fopenmp -O2 -ljxl -ljxl_threads -ltiff -lsharpyuv -lwebp -lwebpmux -ljpeg -llcms2 -lXext -lX11 -lxml2 -lzstd -llzma -lz -lm -lpthread -lgomp
OpenVINO Model: Road Segmentation ADAS FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU a b c 15 30 45 60 75 65.47 63.87 64.34 MIN: 47.92 / MAX: 97.87 MIN: 44.45 / MAX: 100.48 MIN: 46.49 / MAX: 95.66 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Road Segmentation ADAS FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU a b c 14 28 42 56 70 61.04 62.57 62.13 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Road Segmentation ADAS FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Road Segmentation ADAS FP16 - Device: CPU a b c 50 100 150 200 250 211.40 209.84 210.13 MIN: 137.19 / MAX: 236.54 MIN: 109.4 / MAX: 239.8 MIN: 140.46 / MAX: 237.3 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Road Segmentation ADAS FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Road Segmentation ADAS FP16 - Device: CPU a b c 5 10 15 20 25 18.91 19.04 19.02 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Noise Suppression Poconet-Like FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Noise Suppression Poconet-Like FP16 - Device: CPU a b c 5 10 15 20 25 19.40 19.42 19.43 MIN: 13.98 / MAX: 35.99 MIN: 13.1 / MAX: 34.98 MIN: 14.56 / MAX: 35.32 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Noise Suppression Poconet-Like FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Noise Suppression Poconet-Like FP16 - Device: CPU a b c 50 100 150 200 250 205.26 204.99 204.83 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Person Vehicle Bike Detection FP16 - Device: CPU a b c 5 10 15 20 25 21.19 21.21 21.13 MIN: 13.35 / MAX: 37.6 MIN: 14.76 / MAX: 37.88 MIN: 14.16 / MAX: 38.44 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Person Vehicle Bike Detection FP16 - Device: CPU a b c 40 80 120 160 200 188.54 188.32 189.06 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
GraphicsMagick Operation: Noise-Gaussian OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.43 Operation: Noise-Gaussian a b c 8 16 24 32 40 33 33 33 1. (CC) gcc options: -fopenmp -O2 -ljxl -ljxl_threads -ltiff -lsharpyuv -lwebp -lwebpmux -ljpeg -llcms2 -lXext -lX11 -lxml2 -lzstd -llzma -lz -lm -lpthread -lgomp
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Vehicle Detection FP16-INT8 - Device: CPU a b c 7 14 21 28 35 30.68 30.75 30.67 MIN: 20.62 / MAX: 48.27 MIN: 20.65 / MAX: 53.5 MIN: 20.03 / MAX: 56.5 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Vehicle Detection FP16-INT8 - Device: CPU a b c 30 60 90 120 150 130.24 129.94 130.31 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Handwritten English Recognition FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Handwritten English Recognition FP16-INT8 - Device: CPU a b c 15 30 45 60 75 69.38 67.18 69.32 MIN: 51.94 / MAX: 94.93 MIN: 54.17 / MAX: 103.62 MIN: 51.14 / MAX: 99.78 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Handwritten English Recognition FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Handwritten English Recognition FP16-INT8 - Device: CPU a b c 13 26 39 52 65 57.60 59.50 57.66 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Handwritten English Recognition FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Handwritten English Recognition FP16 - Device: CPU a b c 16 32 48 64 80 73.18 73.06 73.01 MIN: 58.4 / MAX: 103.02 MIN: 58.07 / MAX: 102.86 MIN: 59.03 / MAX: 101.39 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Handwritten English Recognition FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Handwritten English Recognition FP16 - Device: CPU a b c 12 24 36 48 60 54.62 54.71 54.75 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Person Re-Identification Retail FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Person Re-Identification Retail FP16 - Device: CPU a b c 4 8 12 16 20 18.06 18.04 18.02 MIN: 11.69 / MAX: 35.08 MIN: 13.99 / MAX: 31.97 MIN: 12.98 / MAX: 36.66 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Person Re-Identification Retail FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Person Re-Identification Retail FP16 - Device: CPU a b c 50 100 150 200 250 221.06 221.31 221.65 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
GraphicsMagick Operation: Swirl OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.43 Operation: Swirl a b c 15 30 45 60 75 68 68 68 1. (CC) gcc options: -fopenmp -O2 -ljxl -ljxl_threads -ltiff -lsharpyuv -lwebp -lwebpmux -ljpeg -llcms2 -lXext -lX11 -lxml2 -lzstd -llzma -lz -lm -lpthread -lgomp
OpenVINO Model: Face Detection Retail FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Face Detection Retail FP16-INT8 - Device: CPU a b c 2 4 6 8 10 8.64 8.59 8.59 MIN: 6.19 / MAX: 19.81 MIN: 6.21 / MAX: 24.6 MIN: 6.25 / MAX: 24.44 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Face Detection Retail FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Face Detection Retail FP16-INT8 - Device: CPU a b c 100 200 300 400 500 461.19 464.04 464.13 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Vehicle Detection FP16 - Device: CPU a b c 10 20 30 40 50 42.99 43.30 42.99 MIN: 26.45 / MAX: 62.29 MIN: 32.15 / MAX: 67.22 MIN: 28.92 / MAX: 70.82 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Vehicle Detection FP16 - Device: CPU a b c 20 40 60 80 100 92.95 92.28 92.95 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Weld Porosity Detection FP16-INT8 - Device: CPU a b c 5 10 15 20 25 18.74 19.53 19.51 MIN: 14.49 / MAX: 41.06 MIN: 14.33 / MAX: 32.31 MIN: 14.37 / MAX: 42.61 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Weld Porosity Detection FP16-INT8 - Device: CPU a b c 50 100 150 200 250 213.14 204.55 204.82 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Weld Porosity Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Weld Porosity Detection FP16 - Device: CPU a b c 6 12 18 24 30 26.74 26.97 26.82 MIN: 21 / MAX: 46.62 MIN: 22.68 / MAX: 45.64 MIN: 18.38 / MAX: 50.57 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Weld Porosity Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Weld Porosity Detection FP16 - Device: CPU a b c 30 60 90 120 150 149.46 148.14 149.03 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
GraphicsMagick Operation: Resizing OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.43 Operation: Resizing a b c 30 60 90 120 150 139 140 139 1. (CC) gcc options: -fopenmp -O2 -ljxl -ljxl_threads -ltiff -lsharpyuv -lwebp -lwebpmux -ljpeg -llcms2 -lXext -lX11 -lxml2 -lzstd -llzma -lz -lm -lpthread -lgomp
GraphicsMagick Operation: Rotate OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.43 Operation: Rotate a b c 30 60 90 120 150 131 134 133 1. (CC) gcc options: -fopenmp -O2 -ljxl -ljxl_threads -ltiff -lsharpyuv -lwebp -lwebpmux -ljpeg -llcms2 -lXext -lX11 -lxml2 -lzstd -llzma -lz -lm -lpthread -lgomp
GraphicsMagick Operation: Enhanced OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.43 Operation: Enhanced a b c 5 10 15 20 25 21 21 21 1. (CC) gcc options: -fopenmp -O2 -ljxl -ljxl_threads -ltiff -lsharpyuv -lwebp -lwebpmux -ljpeg -llcms2 -lXext -lX11 -lxml2 -lzstd -llzma -lz -lm -lpthread -lgomp
OpenVINO Model: Face Detection Retail FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Face Detection Retail FP16 - Device: CPU a b c 3 6 9 12 15 10.46 10.45 10.43 MIN: 7.82 / MAX: 26.01 MIN: 8.28 / MAX: 31.34 MIN: 8.16 / MAX: 28.53 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Face Detection Retail FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Face Detection Retail FP16 - Device: CPU a b c 80 160 240 320 400 381.36 381.71 382.49 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
RocksDB Test: Overwrite OpenBenchmarking.org Op/s, More Is Better RocksDB 9.0 Test: Overwrite a b c 120K 240K 360K 480K 600K 552729 558575 553291 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti
OpenVINO Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU a b c 0.171 0.342 0.513 0.684 0.855 0.76 0.76 0.76 MIN: 0.51 / MAX: 10.14 MIN: 0.5 / MAX: 14.11 MIN: 0.5 / MAX: 13.98 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU a b c 1100 2200 3300 4400 5500 5124.53 5125.62 5091.90 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
GraphicsMagick Operation: HWB Color Space OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.43 Operation: HWB Color Space a b c 50 100 150 200 250 209 212 213 1. (CC) gcc options: -fopenmp -O2 -ljxl -ljxl_threads -ltiff -lsharpyuv -lwebp -lwebpmux -ljpeg -llcms2 -lXext -lX11 -lxml2 -lzstd -llzma -lz -lm -lpthread -lgomp
OpenVINO Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU a b c 0.3398 0.6796 1.0194 1.3592 1.699 1.51 1.47 1.49 MIN: 1.09 / MAX: 13.78 MIN: 1.18 / MAX: 21.34 MIN: 0.96 / MAX: 22.4 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU a b c 600 1200 1800 2400 3000 2601.61 2665.57 2631.67 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
RocksDB Test: Update Random OpenBenchmarking.org Op/s, More Is Better RocksDB 9.0 Test: Update Random a b c 70K 140K 210K 280K 350K 323621 325226 324608 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti
RocksDB Test: Read Random Write Random OpenBenchmarking.org Op/s, More Is Better RocksDB 9.0 Test: Read Random Write Random a b c 170K 340K 510K 680K 850K 769845 772918 772309 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti
RocksDB Test: Read While Writing OpenBenchmarking.org Op/s, More Is Better RocksDB 9.0 Test: Read While Writing a b c 150K 300K 450K 600K 750K 658357 698869 689750 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti
RocksDB Test: Random Read OpenBenchmarking.org Op/s, More Is Better RocksDB 9.0 Test: Random Read a b c 4M 8M 12M 16M 20M 20818470 20769467 20768941 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti
PyTorch Device: CPU - Batch Size: 1 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 a b c 5 10 15 20 25 21.12 21.11 20.33 MIN: 10.31 / MAX: 21.88 MIN: 11.52 / MAX: 21.9 MIN: 11.05 / MAX: 20.93
TensorFlow Device: CPU - Batch Size: 16 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 16 - Model: AlexNet a b c 8 16 24 32 40 33.88 32.98 32.39
FFmpeg Encoder: libx264 - Scenario: Live OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx264 - Scenario: Live a b c 40 80 120 160 200 175.19 173.63 176.55 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl
JPEG-XL Decoding libjxl CPU Threads: 1 OpenBenchmarking.org MP/s, More Is Better JPEG-XL Decoding libjxl 0.10.1 CPU Threads: 1 a b c 13 26 39 52 65 57.28 58.16 58.36
SVT-AV1 Encoder Mode: Preset 8 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.0 Encoder Mode: Preset 8 - Input: Bosphorus 4K a b c 4 8 12 16 20 14.33 14.83 14.74 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
ASTC Encoder Preset: Medium OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.7 Preset: Medium a b c 7 14 21 28 35 31.66 31.86 31.92 1. (CXX) g++ options: -O3 -flto -pthread
JPEG-XL Decoding libjxl CPU Threads: All OpenBenchmarking.org MP/s, More Is Better JPEG-XL Decoding libjxl 0.10.1 CPU Threads: All a b c 50 100 150 200 250 221.85 224.12 223.60
Primesieve Length: 1e12 OpenBenchmarking.org Seconds, Fewer Is Better Primesieve 12.1 Length: 1e12 a b c 7 14 21 28 35 31.72 31.53 30.75 1. (CXX) g++ options: -O3
TensorFlow Device: CPU - Batch Size: 1 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 a b c 0.9608 1.9216 2.8824 3.8432 4.804 4.24 4.24 4.27
TensorFlow Device: CPU - Batch Size: 1 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 1 - Model: AlexNet a b c 1.0125 2.025 3.0375 4.05 5.0625 4.49 4.50 4.50
SVT-AV1 Encoder Mode: Preset 4 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.0 Encoder Mode: Preset 4 - Input: Bosphorus 1080p a b c 2 4 6 8 10 7.106 7.073 7.164 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
oneDNN Harness: Deconvolution Batch shapes_1d - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.4 Harness: Deconvolution Batch shapes_1d - Engine: CPU a b c 2 4 6 8 10 8.12705 8.04835 7.88149 MIN: 6.78 MIN: 6.87 MIN: 6.52 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
srsRAN Project Test: PUSCH Processor Benchmark, Throughput Thread OpenBenchmarking.org Mbps, More Is Better srsRAN Project 23.10.1-20240325 Test: PUSCH Processor Benchmark, Throughput Thread a b c 30 60 90 120 150 111.9 111.9 111.9 MIN: 79.1 MIN: 79.1 MIN: 79.1 1. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -fno-trapping-math -fno-math-errno -ldl
SVT-AV1 Encoder Mode: Preset 12 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.0 Encoder Mode: Preset 12 - Input: Bosphorus 4K a b c 9 18 27 36 45 34.13 40.19 39.19 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 13 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.0 Encoder Mode: Preset 13 - Input: Bosphorus 4K a b c 9 18 27 36 45 34.13 39.99 39.95 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
x265 Video Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better x265 3.6 Video Input: Bosphorus 1080p a b c 9 18 27 36 45 36.10 37.43 36.95 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl
WavPack Audio Encoding WAV To WavPack OpenBenchmarking.org Seconds, Fewer Is Better WavPack Audio Encoding 5.7 WAV To WavPack a b c 4 8 12 16 20 16.14 16.39 16.22
TensorFlow Device: CPU - Batch Size: 1 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 1 - Model: GoogLeNet a b c 3 6 9 12 15 9.23 9.13 9.08
oneDNN Harness: IP Shapes 1D - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.4 Harness: IP Shapes 1D - Engine: CPU a b c 2 4 6 8 10 8.11905 8.24092 8.09509 MIN: 7.33 MIN: 7.4 MIN: 7.29 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
Parallel BZIP2 Compression FreeBSD-13.0-RELEASE-amd64-memstick.img Compression OpenBenchmarking.org Seconds, Fewer Is Better Parallel BZIP2 Compression 1.1.13 FreeBSD-13.0-RELEASE-amd64-memstick.img Compression a b c 4 8 12 16 20 15.43 14.95 14.67 1. (CXX) g++ options: -O2 -pthread -lbz2 -lpthread
SVT-AV1 Encoder Mode: Preset 8 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.0 Encoder Mode: Preset 8 - Input: Bosphorus 1080p a b c 11 22 33 44 55 47.83 48.69 49.13 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
srsRAN Project Test: PDSCH Processor Benchmark, Throughput Total OpenBenchmarking.org Mbps, More Is Better srsRAN Project 23.10.1-20240325 Test: PDSCH Processor Benchmark, Throughput Total a b c 400 800 1200 1600 2000 1947.5 1907.6 1910.4 1. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -fno-trapping-math -fno-math-errno -ldl
Google Draco Model: Church Facade OpenBenchmarking.org ms, Fewer Is Better Google Draco 1.5.6 Model: Church Facade a b c 2K 4K 6K 8K 10K 9133 9108 9062 1. (CXX) g++ options: -O3
oneDNN Harness: IP Shapes 3D - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.4 Harness: IP Shapes 3D - Engine: CPU a b c 4 8 12 16 20 15.93 15.94 15.94 MIN: 15.84 MIN: 15.82 MIN: 15.79 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
srsRAN Project Test: PUSCH Processor Benchmark, Throughput Total OpenBenchmarking.org Mbps, More Is Better srsRAN Project 23.10.1-20240325 Test: PUSCH Processor Benchmark, Throughput Total a b c 140 280 420 560 700 656.1 656.3 656.0 MIN: 508.1 MIN: 508.3 MIN: 508.3 1. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -fno-trapping-math -fno-math-errno -ldl
Google Draco Model: Lion OpenBenchmarking.org ms, Fewer Is Better Google Draco 1.5.6 Model: Lion a b c 1300 2600 3900 5200 6500 6118 6071 6043 1. (CXX) g++ options: -O3
srsRAN Project Test: PDSCH Processor Benchmark, Throughput Thread OpenBenchmarking.org Mbps, More Is Better srsRAN Project 23.10.1-20240325 Test: PDSCH Processor Benchmark, Throughput Thread a b c 100 200 300 400 500 472.4 482.9 483.3 1. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -fno-trapping-math -fno-math-errno -ldl
oneDNN Harness: Convolution Batch Shapes Auto - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.4 Harness: Convolution Batch Shapes Auto - Engine: CPU a b c 8 16 24 32 40 32.78 32.14 32.07 MIN: 32.21 MIN: 31.31 MIN: 31.41 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
SVT-AV1 Encoder Mode: Preset 12 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.0 Encoder Mode: Preset 12 - Input: Bosphorus 1080p a b c 40 80 120 160 200 183.05 186.17 183.62 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
oneDNN Harness: Deconvolution Batch shapes_3d - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.4 Harness: Deconvolution Batch shapes_3d - Engine: CPU a b c 3 6 9 12 15 10.97 10.76 10.54 MIN: 10.02 MIN: 9.86 MIN: 9.84 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
SVT-AV1 Encoder Mode: Preset 13 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.0 Encoder Mode: Preset 13 - Input: Bosphorus 1080p a b c 50 100 150 200 250 219.89 230.19 225.41 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
Phoronix Test Suite v10.8.5