lfld AMD Ryzen Threadripper 3970X 32-Core testing with a ASUS ROG ZENITH II EXTREME (1802 BIOS) and AMD Radeon RX 5700 8GB on Ubuntu 22.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2404067-NE-LFLD4610042&rdt&grr .
lfld Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server OpenGL Vulkan Compiler File-System Screen Resolution a b c AMD Ryzen Threadripper 3970X 32-Core @ 3.70GHz (32 Cores / 64 Threads) ASUS ROG ZENITH II EXTREME (1802 BIOS) AMD Starship/Matisse 4 x 16GB DDR4-3600MT/s Corsair CMT64GX4M4Z3600C16 Samsung SSD 980 PRO 500GB AMD Radeon RX 5700 8GB (1750/875MHz) AMD Navi 10 HDMI Audio ASUS VP28U Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200 Ubuntu 22.04 6.5.0-25-generic (x86_64) GNOME Shell 42.2 X Server + Wayland 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.54) 1.2.204 GCC 11.4.0 ext4 3840x2160 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler Details - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details - Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x830107a Python Details - Python 3.10.12 Security Details - 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 enabled with STIBP protection + 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 Retpolines IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
lfld tensorflow: CPU - 256 - ResNet-50 brl-cad: VGR Performance Metric tensorflow: CPU - 256 - GoogLeNet tensorflow: CPU - 64 - ResNet-50 blender: Barbershop - CPU-Only pytorch: CPU - 32 - Efficientnet_v2_l pytorch: CPU - 64 - Efficientnet_v2_l pytorch: CPU - 16 - Efficientnet_v2_l ffmpeg: libx265 - Video On Demand ffmpeg: libx265 - Platform ffmpeg: libx264 - Upload ffmpeg: libx265 - Upload tensorflow: CPU - 32 - ResNet-50 tensorflow: CPU - 256 - AlexNet ffmpeg: libx264 - Platform ffmpeg: libx264 - Video On Demand pytorch: CPU - 64 - ResNet-152 pytorch: CPU - 32 - ResNet-152 pytorch: CPU - 16 - ResNet-152 rocksdb: Seq Fill pytorch: CPU - 1 - Efficientnet_v2_l llamafile: wizardcoder-python-34b-v1.0.Q6_K - CPU tensorflow: CPU - 64 - GoogLeNet tensorflow: CPU - 16 - ResNet-50 blender: Pabellon Barcelona - CPU-Only blender: Classroom - CPU-Only llamafile: mistral-7b-instruct-v0.2.Q8_0 - CPU ffmpeg: libx265 - Live stockfish: Chess Benchmark pytorch: CPU - 1 - ResNet-152 tensorflow: CPU - 64 - AlexNet pytorch: CPU - 64 - ResNet-50 pytorch: CPU - 32 - ResNet-50 tensorflow: CPU - 32 - GoogLeNet pytorch: CPU - 16 - ResNet-50 rocksdb: Rand Fill Sync blender: Junkshop - CPU-Only rocksdb: Rand Fill rocksdb: Overwrite rocksdb: Read Rand Write Rand rocksdb: Update Rand rocksdb: Read While Writing rocksdb: Rand Read blender: Fishy Cat - CPU-Only tensorflow: CPU - 32 - AlexNet ffmpeg: libx264 - Live blender: BMW27 - CPU-Only tensorflow: CPU - 16 - GoogLeNet pytorch: CPU - 1 - ResNet-50 tensorflow: CPU - 16 - AlexNet build-ffmpeg: Time To Compile x265: Bosphorus 4K llamafile: llava-v1.5-7b-q4 - CPU tensorflow: CPU - 1 - ResNet-50 build-mesa: Time To Compile tensorflow: CPU - 1 - AlexNet x265: Bosphorus 1080p tensorflow: CPU - 1 - GoogLeNet a b c 15.29 520682 51.24 14.01 440.72 5.93 5.92 5.94 28.14 28.17 12.31 13.56 13.95 131.52 46.41 46.43 11.53 11.66 11.69 391130 7.82 3.05 52.21 13.31 135.1 115.6 10.33 68.63 60626388 14.10 99.75 30.09 30.43 51.17 30.34 5689 63.19 384236 382834 3157205 535854 6378204 122971162 53.41 77.71 192.88 42.71 47.61 36.04 59.39 31.104 24.55 15.7 7.58 15.846 9.37 45.31 11.17 15.26 522046 51.1 14.02 443.49 5.90 5.92 5.96 28.05 28.05 12.27 13.56 14.07 131.69 46.37 46.53 11.54 11.56 11.70 391156 7.75 3.06 51.43 13.4 135.77 116.23 10.42 67.94 59422978 14.03 99.54 29.73 29.44 51.37 30.16 5637 63.6 384641 379919 3170105 545830 6342025 122722305 53.48 76.7 190.36 42.62 47.95 34.83 59.16 30.829 24.39 15.79 7.6 15.799 9.28 45.57 11.18 15.32 518977 50.99 14.07 440.39 5.90 5.94 5.93 28.03 28.09 12.33 13.53 13.93 131.83 46.47 46.51 11.47 11.52 11.72 390464 7.73 3.05 51.79 13.14 135.16 116.67 10.35 67.71 57142188 13.98 100.26 30.14 30.14 51.87 30.56 5511 64 382241 382424 3162012 545086 6326219 125016375 53.89 76.07 191.03 42.52 47.32 35.36 58.03 30.948 24.45 15.7 7.46 15.746 9.34 45 11.09 OpenBenchmarking.org
TensorFlow Device: CPU - Batch Size: 256 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 a b c 4 8 12 16 20 15.29 15.26 15.32
BRL-CAD VGR Performance Metric OpenBenchmarking.org VGR Performance Metric, More Is Better BRL-CAD 7.38.2 VGR Performance Metric a b c 110K 220K 330K 440K 550K 520682 522046 518977 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
TensorFlow Device: CPU - Batch Size: 256 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 256 - Model: GoogLeNet a b c 12 24 36 48 60 51.24 51.10 50.99
TensorFlow Device: CPU - Batch Size: 64 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 a b c 4 8 12 16 20 14.01 14.02 14.07
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 100 200 300 400 500 440.72 443.49 440.39
PyTorch Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l a b c 1.3343 2.6686 4.0029 5.3372 6.6715 5.93 5.90 5.90 MIN: 5.89 / MAX: 5.97 MIN: 5.82 / MAX: 5.93 MIN: 5.85 / MAX: 5.93
PyTorch Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l a b c 1.3365 2.673 4.0095 5.346 6.6825 5.92 5.92 5.94 MIN: 5.88 / MAX: 5.94 MIN: 5.88 / MAX: 5.95 MIN: 5.9 / MAX: 5.97
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 1.341 2.682 4.023 5.364 6.705 5.94 5.96 5.93 MIN: 5.89 / MAX: 6.01 MIN: 5.92 / MAX: 6.01 MIN: 5.82 / MAX: 6
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 7 14 21 28 35 28.14 28.05 28.03 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Platform OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx265 - Scenario: Platform a b c 7 14 21 28 35 28.17 28.05 28.09 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
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 12.31 12.27 12.33 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
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 13.56 13.56 13.53 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
TensorFlow Device: CPU - Batch Size: 32 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 a b c 4 8 12 16 20 13.95 14.07 13.93
TensorFlow Device: CPU - Batch Size: 256 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 256 - Model: AlexNet a b c 30 60 90 120 150 131.52 131.69 131.83
FFmpeg Encoder: libx264 - Scenario: Platform OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx264 - Scenario: Platform a b c 11 22 33 44 55 46.41 46.37 46.47 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
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 11 22 33 44 55 46.43 46.53 46.51 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
PyTorch Device: CPU - Batch Size: 64 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 64 - Model: ResNet-152 a b c 3 6 9 12 15 11.53 11.54 11.47 MIN: 11.4 / MAX: 11.63 MIN: 11.39 / MAX: 11.67 MIN: 11.36 / MAX: 11.54
PyTorch Device: CPU - Batch Size: 32 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 32 - Model: ResNet-152 a b c 3 6 9 12 15 11.66 11.56 11.52 MIN: 11.44 / MAX: 11.83 MIN: 11.37 / MAX: 11.68 MIN: 11.43 / MAX: 11.62
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 3 6 9 12 15 11.69 11.70 11.72 MIN: 11.45 / MAX: 11.76 MIN: 11.52 / MAX: 11.79 MIN: 10.4 / MAX: 11.89
RocksDB Test: Sequential Fill OpenBenchmarking.org Op/s, More Is Better RocksDB 9.0 Test: Sequential Fill a b c 80K 160K 240K 320K 400K 391130 391156 390464 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
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 2 4 6 8 10 7.82 7.75 7.73 MIN: 7.73 / MAX: 7.91 MIN: 7.54 / MAX: 7.82 MIN: 7.63 / MAX: 7.82
Llamafile Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPU OpenBenchmarking.org Tokens Per Second, More Is Better Llamafile 0.7 Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPU a b c 0.6885 1.377 2.0655 2.754 3.4425 3.05 3.06 3.05
TensorFlow Device: CPU - Batch Size: 64 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 64 - Model: GoogLeNet a b c 12 24 36 48 60 52.21 51.43 51.79
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 3 6 9 12 15 13.31 13.40 13.14
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 30 60 90 120 150 135.10 135.77 135.16
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 30 60 90 120 150 115.60 116.23 116.67
Llamafile Test: mistral-7b-instruct-v0.2.Q8_0 - Acceleration: CPU OpenBenchmarking.org Tokens Per Second, More Is Better Llamafile 0.7 Test: mistral-7b-instruct-v0.2.Q8_0 - Acceleration: CPU a b c 3 6 9 12 15 10.33 10.42 10.35
FFmpeg Encoder: libx265 - Scenario: Live OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx265 - Scenario: Live a b c 15 30 45 60 75 68.63 67.94 67.71 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
Stockfish Chess Benchmark OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 16.1 Chess Benchmark a b c 13M 26M 39M 52M 65M 60626388 59422978 57142188 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
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 4 8 12 16 20 14.10 14.03 13.98 MIN: 14.02 / MAX: 14.26 MIN: 13.81 / MAX: 14.13 MIN: 13.81 / MAX: 14.1
TensorFlow Device: CPU - Batch Size: 64 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 64 - Model: AlexNet a b c 20 40 60 80 100 99.75 99.54 100.26
PyTorch Device: CPU - Batch Size: 64 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 a b c 7 14 21 28 35 30.09 29.73 30.14 MIN: 28.19 / MAX: 30.53 MIN: 29.08 / MAX: 30.16 MIN: 29.4 / MAX: 30.57
PyTorch Device: CPU - Batch Size: 32 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 a b c 7 14 21 28 35 30.43 29.44 30.14 MIN: 29.92 / MAX: 30.77 MIN: 28.71 / MAX: 29.78 MIN: 27.74 / MAX: 30.47
TensorFlow Device: CPU - Batch Size: 32 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 32 - Model: GoogLeNet a b c 12 24 36 48 60 51.17 51.37 51.87
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 7 14 21 28 35 30.34 30.16 30.56 MIN: 28.23 / MAX: 30.9 MIN: 29.46 / MAX: 30.57 MIN: 30.05 / MAX: 30.85
RocksDB Test: Random Fill Sync OpenBenchmarking.org Op/s, More Is Better RocksDB 9.0 Test: Random Fill Sync a b c 1200 2400 3600 4800 6000 5689 5637 5511 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
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 14 28 42 56 70 63.19 63.60 64.00
RocksDB Test: Random Fill OpenBenchmarking.org Op/s, More Is Better RocksDB 9.0 Test: Random Fill a b c 80K 160K 240K 320K 400K 384236 384641 382241 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
RocksDB Test: Overwrite OpenBenchmarking.org Op/s, More Is Better RocksDB 9.0 Test: Overwrite a b c 80K 160K 240K 320K 400K 382834 379919 382424 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
RocksDB Test: Read Random Write Random OpenBenchmarking.org Op/s, More Is Better RocksDB 9.0 Test: Read Random Write Random a b c 700K 1400K 2100K 2800K 3500K 3157205 3170105 3162012 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
RocksDB Test: Update Random OpenBenchmarking.org Op/s, More Is Better RocksDB 9.0 Test: Update Random a b c 120K 240K 360K 480K 600K 535854 545830 545086 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
RocksDB Test: Read While Writing OpenBenchmarking.org Op/s, More Is Better RocksDB 9.0 Test: Read While Writing a b c 1.4M 2.8M 4.2M 5.6M 7M 6378204 6342025 6326219 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
RocksDB Test: Random Read OpenBenchmarking.org Op/s, More Is Better RocksDB 9.0 Test: Random Read a b c 30M 60M 90M 120M 150M 122971162 122722305 125016375 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
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 12 24 36 48 60 53.41 53.48 53.89
TensorFlow Device: CPU - Batch Size: 32 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 32 - Model: AlexNet a b c 20 40 60 80 100 77.71 76.70 76.07
FFmpeg Encoder: libx264 - Scenario: Live OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx264 - Scenario: Live a b c 40 80 120 160 200 192.88 190.36 191.03 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
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 10 20 30 40 50 42.71 42.62 42.52
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 11 22 33 44 55 47.61 47.95 47.32
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 8 16 24 32 40 36.04 34.83 35.36 MIN: 35.37 / MAX: 36.38 MIN: 33.83 / MAX: 35.56 MIN: 34.11 / MAX: 35.87
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 13 26 39 52 65 59.39 59.16 58.03
Timed FFmpeg Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 7.0 Time To Compile a b c 7 14 21 28 35 31.10 30.83 30.95
x265 Video Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better x265 3.6 Video Input: Bosphorus 4K a b c 6 12 18 24 30 24.55 24.39 24.45 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
Llamafile Test: llava-v1.5-7b-q4 - Acceleration: CPU OpenBenchmarking.org Tokens Per Second, More Is Better Llamafile 0.7 Test: llava-v1.5-7b-q4 - Acceleration: CPU a b c 4 8 12 16 20 15.70 15.79 15.70
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 2 4 6 8 10 7.58 7.60 7.46
Timed Mesa Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Mesa Compilation 24.0 Time To Compile a b c 4 8 12 16 20 15.85 15.80 15.75
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 3 6 9 12 15 9.37 9.28 9.34
x265 Video Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better x265 3.6 Video Input: Bosphorus 1080p a b c 10 20 30 40 50 45.31 45.57 45.00 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
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 11.17 11.18 11.09
Phoronix Test Suite v10.8.4