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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January 07
  41 Minutes
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January 08
  42 Minutes
c
January 08
  42 Minutes
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January 08
  42 Minutes
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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-CruncherTensorFlowProjectPhysX OpenCL-Benchmark

rapytorch: CPU - 1 - ResNet-50pytorch: CPU - 1 - ResNet-152pytorch: CPU - 16 - ResNet-50pytorch: CPU - 32 - ResNet-50pytorch: CPU - 16 - ResNet-152pytorch: CPU - 32 - ResNet-152pytorch: CPU - 1 - Efficientnet_v2_lpytorch: CPU - 16 - Efficientnet_v2_lpytorch: CPU - 32 - Efficientnet_v2_lquicksilver: CTS2quicksilver: CORAL2 P1quicksilver: CORAL2 P2opencl-benchmark: Memory Bandwidth Coalesced Readopencl-benchmark: Memory Bandwidth Coalesced Writetensorflow: CPU - 1 - VGG-16tensorflow: CPU - 1 - AlexNettensorflow: CPU - 16 - VGG-16tensorflow: CPU - 16 - AlexNettensorflow: CPU - 1 - GoogLeNettensorflow: CPU - 1 - ResNet-50tensorflow: CPU - 16 - GoogLeNettensorflow: CPU - 16 - ResNet-50speedb: Rand Fillspeedb: Rand Readspeedb: Update Randspeedb: Seq Fillspeedb: Rand Fill Syncspeedb: Read While Writingspeedb: Read Rand Write Randopencl-benchmark: FP32 Computeopencl-benchmark: FP16 Computeopencl-benchmark: INT64 Computeopencl-benchmark: INT32 Computeopencl-benchmark: INT16 Computeopencl-benchmark: INT8 Computey-cruncher: 1By-cruncher: 5By-cruncher: 500Mabcd73.6428.5144.1044.0017.0016.9913.2911.5711.59163700001866000017310000220.35447.575.7721.810.35159.9467.6219.79115.2436.0310724351618620465877071173524457356719085328424912.00218.321.2595.46629.7311.38422.641137.7719.63271.6422.1143.5443.3617.1315.7712.898.7011.63171600002121000017040000224.17447.535.7721.7710.33159.3567.7819.84117.8136.1510721341533763355864021158616459305231830327448512.06417.791.265.46529.75311.38122.531137.4979.89458.9327.8843.8343.7617.0817.0413.198.818.72152200001863000017220000219.56438.895.7821.7210.36159.3567.3419.87118.3935.6510837541618053805858051189205462577297328329358311.9918.291.2825.46629.76511.38622.531137.1189.75973.1327.2538.1237.9417.0017.0012.9511.678.70165200002118000017190000221.78442.595.7821.7610.36159.6568.0519.87114.4535.6910812611610521655927871151534456975236657328252812.06718.3131.2775.46629.72411.38622.548137.6999.865OpenBenchmarking.org

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: ResNet-50dcba163248648073.1358.9371.6473.64MIN: 17.49 / MAX: 74.29MIN: 58.53 / MAX: 70.01MIN: 18.09 / MAX: 72.77MIN: 72.2 / MAX: 73.92

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-152dcba71421283527.2527.8822.1128.51MIN: 8.44 / MAX: 28.21MIN: 8.7 / MAX: 28.91MIN: 8.15 / MAX: 26.78MIN: 8.48 / MAX: 28.98

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-50dcba102030405038.1243.8343.5444.10MIN: 9.95 / MAX: 42.77MIN: 15.12 / MAX: 45.84MIN: 10.62 / MAX: 45.46MIN: 13.24 / MAX: 45.85

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-50dcba102030405037.9443.7643.3644.00MIN: 9.49 / MAX: 39.47MIN: 15 / MAX: 45.94MIN: 13.12 / MAX: 45.54MIN: 11.96 / MAX: 45.72

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-152dcba4812162017.0017.0817.1317.00MIN: 7.61 / MAX: 17.69MIN: 8.2 / MAX: 17.84MIN: 10.27 / MAX: 17.85MIN: 6.54 / MAX: 17.74

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-152dcba4812162017.0017.0415.7716.99MIN: 9.03 / MAX: 17.71MIN: 11.16 / MAX: 17.77MIN: 6.2 / MAX: 17.91MIN: 7 / MAX: 17.7

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_ldcba369121512.9513.1912.8913.29MIN: 4.12 / MAX: 17.48MIN: 3.75 / MAX: 17.57MIN: 3.58 / MAX: 17.58MIN: 3.93 / MAX: 17.56

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_ldcba369121511.678.818.7011.57MIN: 5.2 / MAX: 12.21MIN: 4.44 / MAX: 9.1MIN: 4.37 / MAX: 9.01MIN: 5.95 / MAX: 12.1

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_ldcba36912158.708.7211.6311.59MIN: 4.32 / MAX: 9.45MIN: 4.42 / MAX: 9MIN: 5.33 / MAX: 12.18MIN: 5.99 / MAX: 12.15

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: CTS2dcba4M8M12M16M20M165200001522000017160000163700001. (CXX) g++ options: -fopenmp -O3 -march=native

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CORAL2 P1dcba5M10M15M20M25M211800001863000021210000186600001. (CXX) g++ options: -fopenmp -O3 -march=native

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CORAL2 P2dcba4M8M12M16M20M171900001722000017040000173100001. (CXX) g++ options: -fopenmp -O3 -march=native

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 Readdcba50100150200250221.78219.56224.17221.351. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.2Operation: Memory Bandwidth Coalesced Writedcba100200300400500442.59438.89447.53447.571. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

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: VGG-16dcba1.30052.6013.90155.2026.50255.785.785.775.77

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 1 - Model: AlexNetdcba51015202521.7621.7221.7721.80

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: VGG-16dcba369121510.3610.3610.3310.35

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: AlexNetdcba4080120160200159.65159.35159.35159.94

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 1 - Model: GoogLeNetdcba153045607568.0567.3467.7867.62

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 1 - Model: ResNet-50dcba51015202519.8719.8719.8419.79

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: GoogLeNetdcba306090120150114.45118.39117.81115.24

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50dcba81624324035.6935.6536.1536.03

GpuOwl

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

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

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: 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

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 Filldcba200K400K600K800K1000K10812611083754107213410724351. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random Readdcba30M60M90M120M150M1610521651618053801533763351618620461. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Update Randomdcba130K260K390K520K650K5927875858055864025877071. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Sequential Filldcba300K600K900K1200K1500K11515341189205115861611735241. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random Fill Syncdcba10K20K30K40K50K456974625745930457351. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read While Writingdcba1.6M3.2M4.8M6.4M8M52366577297328523183067190851. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read Random Write Randomdcba700K1400K2100K2800K3500K32825283293583327448532842491. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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 Computedcba369121512.0711.9912.0612.001. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

OpenBenchmarking.orgTFLOPs/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.2Operation: FP16 Computedcba51015202518.3118.2917.7918.321. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

OpenBenchmarking.orgTIOPs/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.2Operation: INT64 Computedcba0.28850.5770.86551.1541.44251.2771.2821.2601.2801. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

OpenBenchmarking.orgTIOPs/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.2Operation: INT32 Computedcba1.22992.45983.68974.91966.14955.4665.4665.4655.4661. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

OpenBenchmarking.orgTIOPs/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.2Operation: INT16 Computedcba71421283529.7229.7729.7530.261. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

OpenBenchmarking.orgTIOPs/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.2Operation: INT8 Computedcba369121511.3911.3911.3811.381. (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: 1Bdcba51015202522.5522.5322.5322.64

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 5Bdcba306090120150137.70137.12137.50137.77

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 500Mdcba36912159.8659.7599.8949.632