ra

Intel Core i9-14900K testing with a ASUS PRIME Z790-P WIFI (1402 BIOS) and Intel Arc A770 DG2 16GB on Ubuntu 23.10 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 2401078-PTS-RA95128640
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raOpenBenchmarking.orgPhoronix Test SuiteIntel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads)ASUS PRIME Z790-P WIFI (1402 BIOS)Intel Device 7a2732GBWestern Digital WD_BLACK SN850X 1000GBIntel Arc A770 DG2 16GB (2400MHz)Realtek ALC897ASUS VP28UUbuntu 23.106.7.0-060700rc7daily20231224-generic (x86_64)GNOME Shell 45.1X Server 1.21.1.74.6 Mesa 24.0~git2312240600.c05261~oibaf~m (git-c05261a 2023-12-24 mantic-oibaf-ppa)OpenCL 3.0GCC 13.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorOSKernelDesktopDisplay ServerOpenGLOpenCLCompilerFile-SystemScreen ResolutionRa BenchmarksSystem Logs- Transparent Huge Pages: madvise- --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,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-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/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-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 - Scaling Governor: intel_pstate powersave (EPP: performance) - CPU Microcode: 0x11d - Thermald 2.5.4- Python 3.11.6- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + 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 RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected

abcdResult OverviewPhoronix Test Suite100%102%105%107%110%PyTorchQuicksilverSpeedbY-CruncherProjectPhysX OpenCL-BenchmarkTensorFlow

raspeedb: Read While Writingpytorch: CPU - 16 - Efficientnet_v2_lpytorch: CPU - 32 - Efficientnet_v2_lpytorch: CPU - 1 - ResNet-152pytorch: CPU - 1 - ResNet-50pytorch: CPU - 32 - ResNet-50pytorch: CPU - 16 - ResNet-50quicksilver: CORAL2 P1quicksilver: CTS2pytorch: CPU - 32 - ResNet-152speedb: Rand Readtensorflow: CPU - 16 - GoogLeNetspeedb: Seq Fillpytorch: CPU - 1 - Efficientnet_v2_lopencl-benchmark: FP16 Computey-cruncher: 500Mopencl-benchmark: Memory Bandwidth Coalesced Readopencl-benchmark: Memory Bandwidth Coalesced Writeopencl-benchmark: INT64 Computeopencl-benchmark: INT16 Computequicksilver: CORAL2 P2tensorflow: CPU - 16 - ResNet-50speedb: Rand Fill Syncspeedb: Update Randspeedb: Rand Filltensorflow: CPU - 1 - GoogLeNetpytorch: CPU - 16 - ResNet-152opencl-benchmark: FP32 Computespeedb: Read Rand Write Randy-cruncher: 1By-cruncher: 5Btensorflow: CPU - 1 - ResNet-50tensorflow: CPU - 16 - AlexNettensorflow: CPU - 1 - AlexNettensorflow: CPU - 16 - VGG-16tensorflow: CPU - 1 - VGG-16opencl-benchmark: INT8 Computeopencl-benchmark: INT32 Computegpuowl: 57885161abcd671908511.5711.5928.5173.6444.0044.10186600001637000016.99161862046115.24117352413.2918.3089.632221.35445.781.2830.2641731000036.0345735587707107243567.6217.0012.002328424922.641137.77119.79159.9421.810.355.7711.3795.46552318308.7011.6322.1171.6443.3643.54212100001716000015.77153376335117.81115861612.8917.799.894224.17447.531.2629.7531704000036.1545930586402107213467.7817.1312.064327448522.531137.49719.84159.3521.7710.335.7711.3815.46572973288.818.7227.8858.9343.7643.83186300001522000017.04161805380118.39118920513.1918.299.759219.56438.891.28229.7651722000035.6546257585805108375467.3417.0811.99329358322.531137.11819.87159.3521.7210.365.7811.3865.466523665711.678.7027.2573.1337.9438.12211800001652000017.00161052165114.45115153412.9518.3139.865221.78442.591.27729.7241719000035.6945697592787108126168.0517.0012.067328252822.548137.69919.87159.6521.7610.365.7811.3865.466OpenBenchmarking.org

Speedb

Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read While Writingabcd1.6M3.2M4.8M6.4M8M67190855231830729732852366571. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_labcd369121511.578.708.8111.67MIN: 5.95 / MAX: 12.1MIN: 4.37 / MAX: 9.01MIN: 4.44 / MAX: 9.1MIN: 5.2 / MAX: 12.21

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_labcd369121511.5911.638.728.70MIN: 5.99 / MAX: 12.15MIN: 5.33 / MAX: 12.18MIN: 4.42 / MAX: 9MIN: 4.32 / MAX: 9.45

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-152abcd71421283528.5122.1127.8827.25MIN: 8.48 / MAX: 28.98MIN: 8.15 / MAX: 26.78MIN: 8.7 / MAX: 28.91MIN: 8.44 / MAX: 28.21

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50abcd163248648073.6471.6458.9373.13MIN: 72.2 / MAX: 73.92MIN: 18.09 / MAX: 72.77MIN: 58.53 / MAX: 70.01MIN: 17.49 / MAX: 74.29

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-50abcd102030405044.0043.3643.7637.94MIN: 11.96 / MAX: 45.72MIN: 13.12 / MAX: 45.54MIN: 15 / MAX: 45.94MIN: 9.49 / MAX: 39.47

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-50abcd102030405044.1043.5443.8338.12MIN: 13.24 / MAX: 45.85MIN: 10.62 / MAX: 45.46MIN: 15.12 / MAX: 45.84MIN: 9.95 / MAX: 42.77

Quicksilver

Quicksilver is a proxy application that represents some elements of the Mercury workload by solving a simplified dynamic Monte Carlo particle transport problem. Quicksilver is developed by Lawrence Livermore National Laboratory (LLNL) and this test profile currently makes use of the OpenMP CPU threaded code path. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CORAL2 P1abcd5M10M15M20M25M186600002121000018630000211800001. (CXX) g++ options: -fopenmp -O3 -march=native

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CTS2abcd4M8M12M16M20M163700001716000015220000165200001. (CXX) g++ options: -fopenmp -O3 -march=native

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-152abcd4812162016.9915.7717.0417.00MIN: 7 / MAX: 17.7MIN: 6.2 / MAX: 17.91MIN: 11.16 / MAX: 17.77MIN: 9.03 / MAX: 17.71

Speedb

Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random Readabcd30M60M90M120M150M1618620461533763351618053801610521651. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: GoogLeNetabcd306090120150115.24117.81118.39114.45

Speedb

Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Sequential Fillabcd300K600K900K1200K1500K11735241158616118920511515341. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_labcd369121513.2912.8913.1912.95MIN: 3.93 / MAX: 17.56MIN: 3.58 / MAX: 17.58MIN: 3.75 / MAX: 17.57MIN: 4.12 / MAX: 17.48

ProjectPhysX OpenCL-Benchmark

ProjectPhysX OpenCL-Benchmark provides various OpenCL compute and memory bandwidth micro-benchmarks Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTFLOPs/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.2Operation: FP16 Computeabcd51015202518.3217.7918.2918.311. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

Y-Cruncher

Y-Cruncher is a multi-threaded Pi benchmark capable of computing Pi to trillions of digits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 500Mabcd36912159.6329.8949.7599.865

ProjectPhysX OpenCL-Benchmark

ProjectPhysX OpenCL-Benchmark provides various OpenCL compute and memory bandwidth micro-benchmarks Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.2Operation: Memory Bandwidth Coalesced Readabcd50100150200250220.35224.17219.56221.781. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.2Operation: Memory Bandwidth Coalesced Writeabcd100200300400500447.57447.53438.89442.591. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

OpenBenchmarking.orgTIOPs/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.2Operation: INT64 Computeabcd0.28850.5770.86551.1541.44251.2591.2601.2821.2771. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

OpenBenchmarking.orgTIOPs/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.2Operation: INT16 Computeabcd71421283529.7329.7529.7729.721. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

Quicksilver

Quicksilver is a proxy application that represents some elements of the Mercury workload by solving a simplified dynamic Monte Carlo particle transport problem. Quicksilver is developed by Lawrence Livermore National Laboratory (LLNL) and this test profile currently makes use of the OpenMP CPU threaded code path. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CORAL2 P2abcd4M8M12M16M20M173100001704000017220000171900001. (CXX) g++ options: -fopenmp -O3 -march=native

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.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50abcd81624324036.0336.1535.6535.69

Speedb

Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random Fill Syncabcd10K20K30K40K50K457354593046257456971. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Update Randomabcd130K260K390K520K650K5877075864025858055927871. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random Fillabcd200K400K600K800K1000K10724351072134108375410812611. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 1 - Model: GoogLeNetabcd153045607567.6267.7867.3468.05

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-152abcd4812162017.0017.1317.0817.00MIN: 6.54 / MAX: 17.74MIN: 10.27 / MAX: 17.85MIN: 8.2 / MAX: 17.84MIN: 7.61 / MAX: 17.69

ProjectPhysX OpenCL-Benchmark

ProjectPhysX OpenCL-Benchmark provides various OpenCL compute and memory bandwidth micro-benchmarks Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTFLOPs/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.2Operation: FP32 Computeabcd369121512.0012.0611.9912.071. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

Speedb

Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read Random Write Randomabcd700K1400K2100K2800K3500K32842493274485329358332825281. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Y-Cruncher

Y-Cruncher is a multi-threaded Pi benchmark capable of computing Pi to trillions of digits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 1Babcd51015202522.6422.5322.5322.55

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 5Babcd306090120150137.77137.50137.12137.70

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.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 1 - Model: ResNet-50abcd51015202519.7919.8419.8719.87

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: AlexNetabcd4080120160200159.94159.35159.35159.65

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 1 - Model: AlexNetabcd51015202521.8021.7721.7221.76

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: VGG-16abcd369121510.3510.3310.3610.36

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 1 - Model: VGG-16abcd1.30052.6013.90155.2026.50255.775.775.785.78

ProjectPhysX OpenCL-Benchmark

ProjectPhysX OpenCL-Benchmark provides various OpenCL compute and memory bandwidth micro-benchmarks Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTIOPs/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.2Operation: INT8 Computeabcd369121511.3811.3811.3911.391. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

OpenBenchmarking.orgTIOPs/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.2Operation: INT32 Computeabcd1.22992.45983.68974.91966.14955.4665.4655.4665.4661. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

GpuOwl

GpuOwl is a Mersenne primality tester leveraging OpenCL for cross-vendor GPU acceleration. Learn more via the OpenBenchmarking.org test page.

Exponent: 332220523

a: The test run did not produce a result. E: ./open 20240107 17:46:23 Intel(R) Arc(TM) A770 Graphics-0 Exception gpu_error: BUILD_PROGRAM_FAILURE clBuildProgram at ../src/clwrap.cpp:246 build

b: The test run did not produce a result. E: ./open 20240107 19:11:11 Intel(R) Arc(TM) A770 Graphics-0 Exception gpu_error: BUILD_PROGRAM_FAILURE clBuildProgram at ../src/clwrap.cpp:246 build

c: The test run did not produce a result. E: ./open 20240107 20:00:01 Intel(R) Arc(TM) A770 Graphics-0 Exception gpu_error: BUILD_PROGRAM_FAILURE clBuildProgram at ../src/clwrap.cpp:246 build

d: The test run did not produce a result. E: ./open 20240107 21:00:00 Intel(R) Arc(TM) A770 Graphics-0 Exception gpu_error: BUILD_PROGRAM_FAILURE clBuildProgram at ../src/clwrap.cpp:246 build

Exponent: 77936867

a: The test run did not produce a result. E: ./open 20240107 17:46:13 Intel(R) Arc(TM) A770 Graphics-0 Exception gpu_error: BUILD_PROGRAM_FAILURE clBuildProgram at ../src/clwrap.cpp:246 build

b: The test run did not produce a result. E: ./open 20240107 19:11:01 Intel(R) Arc(TM) A770 Graphics-0 Exception gpu_error: BUILD_PROGRAM_FAILURE clBuildProgram at ../src/clwrap.cpp:246 build

c: The test run did not produce a result. E: ./open 20240107 19:59:51 Intel(R) Arc(TM) A770 Graphics-0 Exception gpu_error: BUILD_PROGRAM_FAILURE clBuildProgram at ../src/clwrap.cpp:246 build

d: The test run did not produce a result. E: ./open 20240107 20:59:49 Intel(R) Arc(TM) A770 Graphics-0 Exception gpu_error: BUILD_PROGRAM_FAILURE clBuildProgram at ../src/clwrap.cpp:246 build

Exponent: 57885161

a: The test run did not produce a result. E: ./open 20240107 17:46:03 Intel(R) Arc(TM) A770 Graphics-0 Exception gpu_error: BUILD_PROGRAM_FAILURE clBuildProgram at ../src/clwrap.cpp:246 build

b: The test run did not produce a result. E: ./open 20240107 19:10:51 Intel(R) Arc(TM) A770 Graphics-0 Exception gpu_error: BUILD_PROGRAM_FAILURE clBuildProgram at ../src/clwrap.cpp:246 build

c: The test run did not produce a result. E: ./open 20240107 19:59:41 Intel(R) Arc(TM) A770 Graphics-0 Exception gpu_error: BUILD_PROGRAM_FAILURE clBuildProgram at ../src/clwrap.cpp:246 build

d: The test run did not produce a result. E: ./open 20240107 20:59:39 Intel(R) Arc(TM) A770 Graphics-0 Exception gpu_error: BUILD_PROGRAM_FAILURE clBuildProgram at ../src/clwrap.cpp:246 build