AMD EPYC 9754 Bergamo AVX-512

AMD EPYC 9754 1P benchmarks with AVX-512 benchmarking and then AVX-512 disabled. Tests by Michael Larabel for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2307197-NE-AMDBERGAM43
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

CPU Massive 3 Tests
Creator Workloads 5 Tests
HPC - High Performance Computing 5 Tests
Machine Learning 4 Tests
Multi-Core 6 Tests
Intel oneAPI 5 Tests
Python Tests 3 Tests
Server CPU Tests 2 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs
No Box Plots
On Line Graphs With Missing Data, Connect The Line Gaps

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs
Condense Test Profiles With Multiple Version Results Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
AVX512 On
July 16 2023
  7 Hours, 54 Minutes
AVX512 Off
July 16 2023
  11 Hours, 27 Minutes
Invert Hiding All Results Option
  9 Hours, 40 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


AMD EPYC 9754 Bergamo AVX-512 - Phoronix Test Suite

AMD EPYC 9754 Bergamo AVX-512

AMD EPYC 9754 1P benchmarks with AVX-512 benchmarking and then AVX-512 disabled. Tests by Michael Larabel for a future article.

HTML result view exported from: https://openbenchmarking.org/result/2307197-NE-AMDBERGAM43&grr&sor&rro.

AMD EPYC 9754 Bergamo AVX-512ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionAVX512 OnAVX512 OffAMD EPYC 9754 128-Core @ 2.25GHz (128 Cores / 256 Threads)AMD Titanite_4G (RTI1007B BIOS)AMD Device 14a4768GB2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007ASPEEDBroadcom NetXtreme BCM5720 PCIeUbuntu 22.045.19.0-41-generic (x86_64)GNOME Shell 42.5X Server 1.21.1.41.3.224GCC 11.3.0ext41024x768OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler 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-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/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 performance (Boost: Enabled) - CPU Microcode: 0xaa0010b Python Details- Python 3.10.6Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

AMD EPYC 9754 Bergamo AVX-512tensorflow: CPU - 512 - ResNet-50tensorflow: CPU - 256 - ResNet-50tensorflow: CPU - 512 - GoogLeNetlibxsmm: 128openvkl: vklBenchmark ISPCtensorflow: CPU - 256 - GoogLeNetopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUtensorflow: CPU - 512 - AlexNettensorflow: CPU - 64 - ResNet-50openvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUlibxsmm: 256openvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUtensorflow: CPU - 64 - GoogLeNettensorflow: CPU - 256 - AlexNetdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamtensorflow: CPU - 32 - ResNet-50cpuminer-opt: Myriad-Groestltensorflow: CPU - 32 - GoogLeNetonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUcpuminer-opt: Blake-2 Scpuminer-opt: Garlicointensorflow: CPU - 16 - ResNet-50tensorflow: CPU - 16 - GoogLeNetopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamospray: gravity_spheres_volume/dim_512/scivis/real_timeospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray: gravity_spheres_volume/dim_512/ao/real_timedeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Streamtensorflow: CPU - 64 - AlexNetdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamcpuminer-opt: x25xtensorflow: CPU - 32 - AlexNetcpuminer-opt: Skeincoincpuminer-opt: scryptcpuminer-opt: LBC, LBRY Creditscpuminer-opt: Quad SHA-256, Pyriteminibude: OpenMP - BM2minibude: OpenMP - BM2tensorflow: CPU - 16 - AlexNetembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Crownembree: Pathtracer ISPC - Asian Dragonminibude: OpenMP - BM1minibude: OpenMP - BM1AVX512 OnAVX512 Off122.81119.32417.252690.71398501.67110.35580.4044.841430.451632.4096.632339.8127.019.636638.7111.265690.343342.52334.2927.08277.241422.36259.6468247.965371.628628.76180.771174.7572386505309043.11104.771048.3760.73540.35118.000.99110240.891.5873970.1210.8211818.3310.526073.22498.4779127.061131.675327.971532.7557859.711973.1459858.402973.5393201.5964316.167946.26081381.5669857.55102.2238624.737065.8909970.05684977.89562.4811749532993.216606601498937238.8875972.187342.88134.8396125.5414157.6450237.0275925.67020.7819.8946.922573.3117946.17254.01251.9753.791190.91109.8818.454170.4914.9919.283317.3416.173954.902415.34153.5915.0646.28106.28298.0628213.639317.487149.9544.461317.5745555803947315.9139.642423.3926.181094.5257.951.9162564.161.7666895.4922.475692.9925.062551.70906.941469.334118.020319.546319.17311025.480661.17551023.169061.3689244.1513260.767188.9093718.303297.59122.2295522.110473.3502870.95413010.3784.969379772033.15332667876137181.1324528.30570.10115.2682112.2274132.9504187.1074677.682OpenBenchmarking.org

TensorFlow

Device: CPU - Batch Size: 512 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: ResNet-50AVX512 OffAVX512 On306090120150SE +/- 0.04, N = 3SE +/- 0.99, N = 320.78122.81

TensorFlow

Device: CPU - Batch Size: 256 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: ResNet-50AVX512 OffAVX512 On306090120150SE +/- 0.02, N = 3SE +/- 1.01, N = 1219.89119.32

TensorFlow

Device: CPU - Batch Size: 512 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: GoogLeNetAVX512 OffAVX512 On90180270360450SE +/- 0.05, N = 3SE +/- 5.30, N = 1246.92417.25

libxsmm

M N K: 128

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 128AVX512 OffAVX512 On6001200180024003000SE +/- 2.70, N = 3SE +/- 12.20, N = 32573.32690.71. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2

OpenVKL

Benchmark: vklBenchmark ISPC

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ISPCAVX512 OffAVX512 On30060090012001500SE +/- 0.33, N = 3SE +/- 2.65, N = 311791398MIN: 178 / MAX: 10473MIN: 229 / MAX: 11779

TensorFlow

Device: CPU - Batch Size: 256 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: GoogLeNetAVX512 OffAVX512 On110220330440550SE +/- 0.06, N = 3SE +/- 4.92, N = 346.17501.67

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUAVX512 OffAVX512 On60120180240300SE +/- 2.83, N = 15SE +/- 1.22, N = 15254.01110.35MIN: 116.71 / MAX: 398.88MIN: 49.7 / MAX: 183.591. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUAVX512 OffAVX512 On130260390520650SE +/- 3.15, N = 15SE +/- 7.10, N = 15251.97580.401. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUAVX512 OffAVX512 On1224364860SE +/- 0.62, N = 14SE +/- 0.60, N = 1553.7944.84MIN: 13.85 / MAX: 136.83MIN: 8.1 / MAX: 137.011. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUAVX512 OffAVX512 On30060090012001500SE +/- 15.59, N = 14SE +/- 22.93, N = 151190.911430.451. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

TensorFlow

Device: CPU - Batch Size: 512 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: AlexNetAVX512 OffAVX512 On400800120016002000SE +/- 0.06, N = 3SE +/- 1.53, N = 3109.881632.40

TensorFlow

Device: CPU - Batch Size: 64 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50AVX512 OffAVX512 On20406080100SE +/- 0.03, N = 3SE +/- 0.06, N = 318.4596.63

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUAVX512 OffAVX512 On9001800270036004500SE +/- 41.79, N = 5SE +/- 14.83, N = 124170.492339.81MIN: 1759.65 / MAX: 4969.5MIN: 1045.35 / MAX: 3232.691. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUAVX512 OffAVX512 On612182430SE +/- 0.16, N = 5SE +/- 0.18, N = 1214.9927.011. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUAVX512 OffAVX512 On510152025SE +/- 0.14, N = 15SE +/- 0.02, N = 319.289.63MIN: 10.31 / MAX: 50.61MIN: 6.4 / MAX: 33.261. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUAVX512 OffAVX512 On14002800420056007000SE +/- 26.07, N = 15SE +/- 13.51, N = 33317.346638.711. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUAVX512 OffAVX512 On48121620SE +/- 0.01, N = 3SE +/- 0.15, N = 1516.1711.26MIN: 8.44 / MAX: 56.88MIN: 4.37 / MAX: 45.061. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUAVX512 OffAVX512 On12002400360048006000SE +/- 2.12, N = 3SE +/- 89.26, N = 153954.905690.341. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

libxsmm

M N K: 256

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 256AVX512 OffAVX512 On7001400210028003500SE +/- 6.53, N = 3SE +/- 5.78, N = 32415.33342.51. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUAVX512 OffAVX512 On9001800270036004500SE +/- 59.43, N = 3SE +/- 22.79, N = 124153.592334.29MIN: 1975.28 / MAX: 5152.66MIN: 1017.83 / MAX: 3101.051. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUAVX512 OffAVX512 On612182430SE +/- 0.21, N = 3SE +/- 0.30, N = 1215.0627.081. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

TensorFlow

Device: CPU - Batch Size: 64 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: GoogLeNetAVX512 OffAVX512 On60120180240300SE +/- 0.18, N = 3SE +/- 2.62, N = 1546.28277.24

TensorFlow

Device: CPU - Batch Size: 256 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: AlexNetAVX512 OffAVX512 On30060090012001500SE +/- 0.24, N = 3SE +/- 6.55, N = 3106.281422.36

Neural Magic DeepSparse

Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On60120180240300SE +/- 0.24, N = 3SE +/- 6.02, N = 15298.06259.65

Neural Magic DeepSparse

Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On50100150200250SE +/- 0.14, N = 3SE +/- 7.49, N = 15213.64247.97

TensorFlow

Device: CPU - Batch Size: 32 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: ResNet-50AVX512 OffAVX512 On1632486480SE +/- 0.04, N = 3SE +/- 0.23, N = 317.4871.62

Cpuminer-Opt

Algorithm: Myriad-Groestl

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Myriad-GroestlAVX512 OffAVX512 On2K4K6K8K10KSE +/- 21.55, N = 3SE +/- 340.56, N = 157149.958628.761. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

TensorFlow

Device: CPU - Batch Size: 32 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: GoogLeNetAVX512 OffAVX512 On4080120160200SE +/- 0.10, N = 3SE +/- 3.09, N = 1544.46180.77

oneDNN

Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUAVX512 OffAVX512 On30060090012001500SE +/- 1.80, N = 3SE +/- 12.60, N = 41317.571174.75MIN: 1299.38MIN: 1143.881. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

Cpuminer-Opt

Algorithm: Blake-2 S

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Blake-2 SAVX512 OffAVX512 On1.6M3.2M4.8M6.4M8MSE +/- 37514.23, N = 15SE +/- 3854.05, N = 3455558072386501. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: Garlicoin

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: GarlicoinAVX512 OffAVX512 On11K22K33K44K55KSE +/- 102.69, N = 3SE +/- 110.15, N = 339473530901. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

TensorFlow

Device: CPU - Batch Size: 16 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50AVX512 OffAVX512 On1020304050SE +/- 0.05, N = 3SE +/- 0.03, N = 315.9143.11

TensorFlow

Device: CPU - Batch Size: 16 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: GoogLeNetAVX512 OffAVX512 On20406080100SE +/- 0.17, N = 3SE +/- 1.96, N = 1539.64104.77

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUAVX512 OffAVX512 On5001000150020002500SE +/- 26.84, N = 3SE +/- 0.42, N = 32423.391048.37MIN: 1130.42 / MAX: 2937.22MIN: 508.1 / MAX: 1159.41. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUAVX512 OffAVX512 On1428425670SE +/- 0.36, N = 3SE +/- 0.06, N = 326.1860.731. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUAVX512 OffAVX512 On2004006008001000SE +/- 0.34, N = 3SE +/- 0.07, N = 31094.52540.35MIN: 509.48 / MAX: 1179.63MIN: 257.81 / MAX: 586.561. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUAVX512 OffAVX512 On306090120150SE +/- 0.03, N = 3SE +/- 0.02, N = 357.95118.001. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUAVX512 OffAVX512 On0.42980.85961.28941.71922.149SE +/- 0.01, N = 3SE +/- 0.00, N = 31.910.99MIN: 0.67 / MAX: 19.48MIN: 0.35 / MAX: 19.471. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUAVX512 OffAVX512 On20K40K60K80K100KSE +/- 278.13, N = 3SE +/- 314.35, N = 362564.16110240.891. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUAVX512 OffAVX512 On0.3960.7921.1881.5841.98SE +/- 0.00, N = 3SE +/- 0.00, N = 31.761.58MIN: 0.64 / MAX: 19.6MIN: 0.55 / MAX: 17.781. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUAVX512 OffAVX512 On16K32K48K64K80KSE +/- 20.10, N = 3SE +/- 95.74, N = 366895.4973970.121. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUAVX512 OffAVX512 On510152025SE +/- 0.01, N = 3SE +/- 0.00, N = 322.4710.82MIN: 10.87 / MAX: 43.5MIN: 5 / MAX: 31.441. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUAVX512 OffAVX512 On3K6K9K12K15KSE +/- 1.65, N = 3SE +/- 1.17, N = 35692.9911818.331. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUAVX512 OffAVX512 On612182430SE +/- 0.01, N = 3SE +/- 0.00, N = 325.0610.52MIN: 13.08 / MAX: 57.02MIN: 5.11 / MAX: 34.371. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUAVX512 OffAVX512 On13002600390052006500SE +/- 0.56, N = 3SE +/- 1.32, N = 32551.706073.221. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

Neural Magic DeepSparse

Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On2004006008001000SE +/- 0.94, N = 3SE +/- 0.16, N = 3906.94498.48

Neural Magic DeepSparse

Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On306090120150SE +/- 0.03, N = 3SE +/- 0.01, N = 369.33127.06

OSPRay

Benchmark: gravity_spheres_volume/dim_512/scivis/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeAVX512 OffAVX512 On714212835SE +/- 0.00, N = 3SE +/- 0.02, N = 318.0231.68

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeAVX512 OffAVX512 On714212835SE +/- 0.01, N = 3SE +/- 0.01, N = 319.5527.97

OSPRay

Benchmark: gravity_spheres_volume/dim_512/ao/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeAVX512 OffAVX512 On816243240SE +/- 0.02, N = 3SE +/- 0.01, N = 319.1732.76

Neural Magic DeepSparse

Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On2004006008001000SE +/- 1.31, N = 3SE +/- 0.45, N = 31025.48859.71

Neural Magic DeepSparse

Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On1632486480SE +/- 0.13, N = 3SE +/- 0.19, N = 361.1873.15

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On2004006008001000SE +/- 1.40, N = 3SE +/- 0.33, N = 31023.17858.40

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On1632486480SE +/- 0.02, N = 3SE +/- 0.14, N = 361.3773.54

Neural Magic DeepSparse

Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On50100150200250SE +/- 0.64, N = 3SE +/- 0.47, N = 3244.15201.60

Neural Magic DeepSparse

Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On70140210280350SE +/- 0.63, N = 3SE +/- 0.78, N = 3260.77316.17

Neural Magic DeepSparse

Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On20406080100SE +/- 0.67, N = 3SE +/- 0.05, N = 388.9146.26

Neural Magic DeepSparse

Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On30060090012001500SE +/- 5.33, N = 3SE +/- 1.58, N = 3718.301381.57

TensorFlow

Device: CPU - Batch Size: 64 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: AlexNetAVX512 OffAVX512 On2004006008001000SE +/- 0.08, N = 3SE +/- 1.99, N = 597.59857.55

Neural Magic DeepSparse

Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On306090120150SE +/- 0.15, N = 3SE +/- 0.07, N = 3122.23102.22

Neural Magic DeepSparse

Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On130260390520650SE +/- 0.58, N = 3SE +/- 0.52, N = 3522.11624.74

Neural Magic DeepSparse

Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On1632486480SE +/- 0.04, N = 3SE +/- 0.03, N = 373.3565.89

Neural Magic DeepSparse

Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamAVX512 OffAVX512 On2004006008001000SE +/- 0.45, N = 3SE +/- 0.42, N = 3870.95970.06

Cpuminer-Opt

Algorithm: x25x

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: x25xAVX512 OffAVX512 On11002200330044005500SE +/- 35.48, N = 4SE +/- 15.71, N = 33010.374977.891. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

TensorFlow

Device: CPU - Batch Size: 32 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: AlexNetAVX512 OffAVX512 On120240360480600SE +/- 0.16, N = 3SE +/- 2.06, N = 684.96562.48

Cpuminer-Opt

Algorithm: Skeincoin

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: SkeincoinAVX512 OffAVX512 On300K600K900K1200K1500KSE +/- 1811.04, N = 3SE +/- 4577.90, N = 393797711749531. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: scrypt

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: scryptAVX512 OffAVX512 On6001200180024003000SE +/- 0.24, N = 3SE +/- 1.66, N = 32033.152993.211. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: LBC, LBRY Credits

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: LBC, LBRY CreditsAVX512 OffAVX512 On140K280K420K560K700KSE +/- 141.93, N = 3SE +/- 76.38, N = 33326676606601. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: Quad SHA-256, Pyrite

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Quad SHA-256, PyriteAVX512 OffAVX512 On300K600K900K1200K1500KSE +/- 2198.34, N = 3SE +/- 3455.26, N = 387613714989371. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

miniBUDE

Implementation: OpenMP - Input Deck: BM2

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2AVX512 OffAVX512 On50100150200250SE +/- 0.62, N = 3SE +/- 0.02, N = 3181.13238.891. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM2

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2AVX512 OffAVX512 On13002600390052006500SE +/- 15.49, N = 3SE +/- 0.44, N = 34528.315972.191. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

TensorFlow

Device: CPU - Batch Size: 16 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: AlexNetAVX512 OffAVX512 On70140210280350SE +/- 0.29, N = 3SE +/- 0.70, N = 670.10342.88

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Asian Dragon ObjAVX512 OffAVX512 On306090120150SE +/- 0.08, N = 4SE +/- 0.16, N = 4115.27134.84MIN: 113.48 / MAX: 119.15MIN: 132.49 / MAX: 139

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: CrownAVX512 OffAVX512 On306090120150SE +/- 0.11, N = 7SE +/- 0.09, N = 7112.23125.54MIN: 109.49 / MAX: 117.02MIN: 122.35 / MAX: 131.95

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Asian DragonAVX512 OffAVX512 On306090120150SE +/- 0.11, N = 7SE +/- 0.09, N = 8132.95157.65MIN: 130.4 / MAX: 138.16MIN: 155.33 / MAX: 162.92

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1AVX512 OffAVX512 On50100150200250SE +/- 0.72, N = 8SE +/- 0.09, N = 9187.11237.031. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1AVX512 OffAVX512 On13002600390052006500SE +/- 18.03, N = 8SE +/- 2.27, N = 94677.685925.671. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

CPU Temperature Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringAVX512 OnAVX512 Off1530456075Min: 23.25 / Avg: 51.4 / Max: 74.25Min: 20.75 / Avg: 44.22 / Max: 76.13

CPU Power Consumption Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringAVX512 OnAVX512 Off70140210280350Min: 10.25 / Avg: 231.36 / Max: 398.39Min: 10.15 / Avg: 179.15 / Max: 378.14

CPU Peak Freq (Highest CPU Core Frequency) Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgMegahertzCPU Peak Freq (Highest CPU Core Frequency) MonitorPhoronix Test Suite System MonitoringAVX512 OffAVX512 On6001200180024003000Min: 2203 / Avg: 2979.69 / Max: 3559Min: 2250 / Avg: 2918.06 / Max: 3532

OpenVINO

CPU Temperature Monitor

MinAvgMaxAVX512 Off41.063.969.0AVX512 On41.463.468.1OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAVX512 On21.4311.4336.9AVX512 Off21.2308.2334.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225026263099AVX512 On225027613119OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenVINO

CPU Temperature Monitor

MinAvgMaxAVX512 On41.064.670.0AVX512 Off37.361.868.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAVX512 On21.2316.4347.6AVX512 Off21.0298.9332.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor100200300400500

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225025903101AVX512 On225028923097OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenVINO

CPU Temperature Monitor

MinAvgMaxAVX512 On40.560.666.6AVX512 Off41.057.164.8OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAVX512 On21.6308.5346.7AVX512 Off21.1293.4328.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor100200300400500

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225024833131AVX512 On225026793096OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenVINO

CPU Temperature Monitor

MinAvgMaxAVX512 Off36.867.473.3AVX512 On36.861.366.1OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off21.1336.6365.0AVX512 On21.1306.8333.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor100200300400500

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 On225026193137AVX512 Off225026713102OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenVINO

CPU Temperature Monitor

MinAvgMaxAVX512 On40.557.365.8AVX512 Off41.056.764.6OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAVX512 On10.9295.1345.9AVX512 Off21.2292.9331.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor100200300400500

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off221425373101AVX512 On225026613111OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenVINO

CPU Temperature Monitor

MinAvgMaxAVX512 On36.864.269.9AVX512 Off41.961.164.3OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAVX512 On21.2327.7354.4AVX512 Off21.3288.2311.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor100200300400500

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225023733112AVX512 On225027183095OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenVINO

CPU Temperature Monitor

MinAvgMaxAVX512 Off42.167.772.8AVX512 On40.059.266.6OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off21.2330.4358.0AVX512 On20.8306.3336.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor100200300400500

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225026593098AVX512 On225027053121OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenVINO

CPU Temperature Monitor

MinAvgMaxAVX512 Off35.865.576.1AVX512 On34.459.570.5OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off21.2323.5369.0AVX512 On20.5295.4336.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor100200300400500

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225026883124AVX512 On225026963116OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenVINO

CPU Temperature Monitor

MinAvgMaxAVX512 Off36.853.962.3AVX512 On36.851.757.5OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off21.0266.8326.8AVX512 On20.7256.0333.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off224129183105AVX512 On225030293257OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenVINO

CPU Temperature Monitor

MinAvgMaxAVX512 On37.660.672.9AVX512 Off36.558.072.4OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAVX512 On20.8306.2358.4AVX512 Off21.0292.7340.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor100200300400500

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225026453103AVX512 On225029363426OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenVINO

CPU Temperature Monitor

MinAvgMaxAVX512 On41.361.273.4AVX512 Off37.657.467.6OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAVX512 On19.8306.5359.5AVX512 Off21.3283.3329.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor100200300400500

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225026493132AVX512 On225029313185OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenVINO

CPU Temperature Monitor

MinAvgMaxAVX512 On38.663.170.0AVX512 Off39.859.368.1OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAVX512 On21.1315.2358.6AVX512 Off21.1286.8325.8OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor100200300400500

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225024913096AVX512 On225027083101OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Neural Magic DeepSparse

CPU Temperature Monitor

MinAvgMaxAVX512 Off38.958.370.9AVX512 On37.357.670.9OpenBenchmarking.orgCelsius, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Temperature Monitor20406080100

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off21.2245.5344.8AVX512 On20.7244.3357.9OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Power Consumption Monitor100200300400500

Neural Magic DeepSparse

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225029523146AVX512 On225030063135OpenBenchmarking.orgMegahertz, More Is BetterNeural Magic DeepSparse 1.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Neural Magic DeepSparse

CPU Temperature Monitor

MinAvgMaxAVX512 Off38.458.370.5AVX512 On36.057.770.9OpenBenchmarking.orgCelsius, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Temperature Monitor20406080100

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxAVX512 On20.6247.7358.6AVX512 Off20.8247.7347.3OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Power Consumption Monitor100200300400500

Neural Magic DeepSparse

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225029403122AVX512 On225030133127OpenBenchmarking.orgMegahertz, More Is BetterNeural Magic DeepSparse 1.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Neural Magic DeepSparse

CPU Temperature Monitor

MinAvgMaxAVX512 Off40.054.069.1AVX512 On38.153.166.1OpenBenchmarking.orgCelsius, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Temperature Monitor20406080100

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off21.5235.2340.9AVX512 On20.6228.3324.5OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Power Consumption Monitor80160240320400

Neural Magic DeepSparse

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 On225030063115AVX512 Off225030483116OpenBenchmarking.orgMegahertz, More Is BetterNeural Magic DeepSparse 1.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Neural Magic DeepSparse

CPU Temperature Monitor

MinAvgMaxAVX512 Off41.060.768.5AVX512 On39.160.467.1OpenBenchmarking.orgCelsius, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Temperature Monitor20406080100

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off21.0256.2320.4AVX512 On20.8255.7320.6OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Power Consumption Monitor80160240320400

Neural Magic DeepSparse

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225029313101AVX512 On225030343099OpenBenchmarking.orgMegahertz, More Is BetterNeural Magic DeepSparse 1.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Neural Magic DeepSparse

CPU Temperature Monitor

MinAvgMaxAVX512 Off40.065.272.9AVX512 On39.862.870.4OpenBenchmarking.orgCelsius, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Temperature Monitor20406080100

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off21.0284.5342.1AVX512 On21.1279.2332.9OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Power Consumption Monitor80160240320400

Neural Magic DeepSparse

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225029623101AVX512 On225030123134OpenBenchmarking.orgMegahertz, More Is BetterNeural Magic DeepSparse 1.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Neural Magic DeepSparse

CPU Temperature Monitor

MinAvgMaxAVX512 On38.653.166.5AVX512 Off38.152.965.8OpenBenchmarking.orgCelsius, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Temperature Monitor20406080100

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxAVX512 On10.5234.1342.4AVX512 Off21.0228.6329.0OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Power Consumption Monitor80160240320400

Neural Magic DeepSparse

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 On225030023416AVX512 Off225030233152OpenBenchmarking.orgMegahertz, More Is BetterNeural Magic DeepSparse 1.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Neural Magic DeepSparse

CPU Temperature Monitor

MinAvgMaxAVX512 On39.458.167.6AVX512 Off38.153.864.3OpenBenchmarking.orgCelsius, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Temperature Monitor20406080100

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxAVX512 On21.1250.2321.3AVX512 Off21.3234.7326.7OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Power Consumption Monitor80160240320400

Neural Magic DeepSparse

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225030153127AVX512 On225030263124OpenBenchmarking.orgMegahertz, More Is BetterNeural Magic DeepSparse 1.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Neural Magic DeepSparse

CPU Temperature Monitor

MinAvgMaxAVX512 On34.657.571.4AVX512 Off30.654.570.5OpenBenchmarking.orgCelsius, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Temperature Monitor20406080100

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxAVX512 On20.4253.4358.2AVX512 Off20.7244.1344.4OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Power Consumption Monitor100200300400500

Neural Magic DeepSparse

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225029333136AVX512 On225030113136OpenBenchmarking.orgMegahertz, More Is BetterNeural Magic DeepSparse 1.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

TensorFlow

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature MonitorAVX512 OnAVX512 Off1122334455Min: 35.38 / Avg: 48.79 / Max: 57.5Min: 29.38 / Avg: 39.11 / Max: 54.13

TensorFlow

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption MonitorAVX512 OnAVX512 Off50100150200250Min: 20.5 / Avg: 226.78 / Max: 289.01Min: 20.22 / Avg: 140.06 / Max: 209.42

TensorFlow

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) MonitorAVX512 OnAVX512 Off6001200180024003000Min: 2250 / Avg: 2958.12 / Max: 3370Min: 2243 / Avg: 3085.93 / Max: 3295

TensorFlow

Device: CPU - Batch Size: 512 - Model: ResNet-50

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: ResNet-50AVX512 OffAVX512 On0.1220.2440.3660.4880.610.1480.542

TensorFlow

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature MonitorAVX512 OnAVX512 Off1224364860Min: 34.63 / Avg: 50.93 / Max: 58.38Min: 30.13 / Avg: 36.83 / Max: 51.13

TensorFlow

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption MonitorAVX512 OnAVX512 Off50100150200250Min: 10.84 / Avg: 236.33 / Max: 283.4Min: 19.97 / Avg: 127.28 / Max: 218.04

TensorFlow

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) MonitorAVX512 OnAVX512 Off6001200180024003000Min: 2250 / Avg: 2973.8 / Max: 3207Min: 2250 / Avg: 3083.42 / Max: 3336

TensorFlow

Device: CPU - Batch Size: 512 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: GoogLeNetAVX512 OffAVX512 On0.39740.79481.19221.58961.9870.3691.766

TensorFlow

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature MonitorAVX512 OnAVX512 Off1122334455Min: 37.63 / Avg: 48.39 / Max: 57.63Min: 29 / Avg: 38.33 / Max: 53.13

TensorFlow

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption MonitorAVX512 OnAVX512 Off50100150200250Min: 20.59 / Avg: 222.08 / Max: 272.77Min: 20.06 / Avg: 139.18 / Max: 198.98

TensorFlow

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) MonitorAVX512 OnAVX512 Off6001200180024003000Min: 2250 / Avg: 2956.33 / Max: 3308Min: 2250 / Avg: 3085.27 / Max: 3559

TensorFlow

Device: CPU - Batch Size: 256 - Model: ResNet-50

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: ResNet-50AVX512 OffAVX512 On0.12080.24160.36240.48320.6040.1430.537

TensorFlow

CPU Temperature Monitor

MinAvgMaxAVX512 On34.450.958.9AVX512 Off29.836.452.1OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1632486480

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxAVX512 On19.9241.5277.9AVX512 Off20.1127.4214.3OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor70140210280350

TensorFlow

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 On225029163157AVX512 Off225030863417OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

TensorFlow

Device: CPU - Batch Size: 256 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: GoogLeNetAVX512 OffAVX512 On0.46760.93521.40281.87042.3380.3622.078

TensorFlow

CPU Temperature Monitor

MinAvgMaxAVX512 On33.545.353.3AVX512 Off28.838.151.6OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1530456075

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxAVX512 On20.6200.2230.6AVX512 Off20.1140.4179.7OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor60120180240300

TensorFlow

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 On225030213283AVX512 Off225030903249OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

TensorFlow

Device: CPU - Batch Size: 64 - Model: ResNet-50

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50AVX512 OffAVX512 On0.10870.21740.32610.43480.54350.1310.483

TensorFlow

CPU Temperature Monitor

MinAvgMaxAVX512 On32.544.352.8AVX512 Off29.935.949.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1530456075

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxAVX512 On20.1187.9236.9AVX512 Off19.9125.3152.5OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor60120180240300

TensorFlow

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 On225029953532AVX512 Off225030753309OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

TensorFlow

Device: CPU - Batch Size: 64 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: GoogLeNetAVX512 OffAVX512 On0.33210.66420.99631.32841.66050.3691.476

TensorFlow

CPU Temperature Monitor

MinAvgMaxAVX512 On31.341.848.6AVX512 Off28.337.551.6OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1530456075

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxAVX512 On20.0176.0204.8AVX512 Off20.1141.1172.9OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor50100150200250

TensorFlow

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 On225030663438AVX512 Off225030843221OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

TensorFlow

Device: CPU - Batch Size: 32 - Model: ResNet-50

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: ResNet-50AVX512 OffAVX512 On0.09160.18320.27480.36640.4580.1240.407

TensorFlow

CPU Temperature Monitor

MinAvgMaxAVX512 On30.840.349.9AVX512 Off29.335.347.1OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1428425670

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxAVX512 On20.3158.9208.4AVX512 Off20.2123.6149.7OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor60120180240300

TensorFlow

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 On225029923472AVX512 Off225030643197OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

TensorFlow

Device: CPU - Batch Size: 32 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: GoogLeNetAVX512 OffAVX512 On0.25610.51220.76831.02441.28050.3601.138

TensorFlow

CPU Temperature Monitor

MinAvgMaxAVX512 On30.438.144.6AVX512 Off28.837.248.8OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1428425670

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxAVX512 On20.1146.6171.4AVX512 Off20.2140.3151.8OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor50100150200250

TensorFlow

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 On225030413348AVX512 Off225030753217OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

TensorFlow

Device: CPU - Batch Size: 16 - Model: ResNet-50

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50AVX512 OffAVX512 On0.06620.13240.19860.26480.3310.1130.294

TensorFlow

CPU Temperature Monitor

MinAvgMaxAVX512 On33.038.545.8AVX512 Off29.135.747.9OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1428425670

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxAVX512 On19.8135.4179.1AVX512 Off20.1118.4140.5OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor50100150200250

TensorFlow

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 On225029773320AVX512 Off225030323208OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

TensorFlow

Device: CPU - Batch Size: 16 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: GoogLeNetAVX512 OffAVX512 On0.17420.34840.52260.69680.8710.3350.774

TensorFlow

CPU Temperature Monitor

MinAvgMaxAVX512 On33.949.855.8AVX512 Off28.836.247.4OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1632486480

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxAVX512 On20.3230.0283.1AVX512 Off20.3127.0189.9OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor70140210280350

TensorFlow

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 On225027543095AVX512 Off220330793359OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

TensorFlow

Device: CPU - Batch Size: 512 - Model: AlexNet

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: AlexNetAVX512 OffAVX512 On2468100.8657.097

TensorFlow

CPU Temperature Monitor

MinAvgMaxAVX512 On30.944.852.3AVX512 Off28.836.047.9OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1530456075

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxAVX512 On20.1203.7257.0AVX512 Off20.0126.7155.1OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor70140210280350

TensorFlow

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 On225027423102AVX512 Off225030733166OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

TensorFlow

Device: CPU - Batch Size: 256 - Model: AlexNet

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: AlexNetAVX512 OffAVX512 On2468100.8396.984

TensorFlow

CPU Temperature Monitor

MinAvgMaxAVX512 On30.638.345.5AVX512 Off30.436.546.4OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1428425670

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxAVX512 On20.2144.4224.5AVX512 Off19.9125.4141.0OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor60120180240300

TensorFlow

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 On225027513111AVX512 Off225030573377OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

TensorFlow

Device: CPU - Batch Size: 64 - Model: AlexNet

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: AlexNetAVX512 OffAVX512 On1.33612.67224.00835.34446.68050.7785.938

TensorFlow

CPU Temperature Monitor

MinAvgMaxAVX512 On32.037.845.3AVX512 Off30.537.145.6OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1224364860

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxAVX512 On20.3128.6210.9AVX512 Off20.5123.0139.4OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor60120180240300

TensorFlow

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 On225028363101AVX512 Off225030393146OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

TensorFlow

Device: CPU - Batch Size: 32 - Model: AlexNet

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: AlexNetAVX512 OffAVX512 On0.98461.96922.95383.93844.9230.6914.376

TensorFlow

CPU Temperature Monitor

MinAvgMaxAVX512 On34.941.149.4AVX512 Off33.940.349.4OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1428425670

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off20.6121.7145.6AVX512 On10.4115.6199.6OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor50100150200250

TensorFlow

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 On225028013254AVX512 Off225029923136OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

TensorFlow

Device: CPU - Batch Size: 16 - Model: AlexNet

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: AlexNetAVX512 OffAVX512 On0.66741.33482.00222.66963.3370.5762.966

Cpuminer-Opt

CPU Temperature Monitor

MinAvgMaxAVX512 On40.568.774.3AVX512 Off38.662.068.1OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.20.3CPU Temperature Monitor20406080100

Cpuminer-Opt

CPU Power Consumption Monitor

MinAvgMaxAVX512 On21.1344.8398.4AVX512 Off11.0310.1352.7OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor110220330440550

Cpuminer-Opt

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225029193027AVX512 On225029663080OpenBenchmarking.orgMegahertz, More Is BetterCpuminer-Opt 3.20.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Cpuminer-Opt

Algorithm: Quad SHA-256, Pyrite

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: Quad SHA-256, PyriteAVX512 OffAVX512 On90018002700360045002825.314347.58

Cpuminer-Opt

CPU Temperature Monitor

MinAvgMaxAVX512 On32.063.272.8AVX512 Off30.659.571.9OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.20.3CPU Temperature Monitor20406080100

Cpuminer-Opt

CPU Power Consumption Monitor

MinAvgMaxAVX512 On20.3329.8380.7AVX512 Off20.7316.2362.0OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor100200300400500

Cpuminer-Opt

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225027463096AVX512 On225028863096OpenBenchmarking.orgMegahertz, More Is BetterCpuminer-Opt 3.20.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Cpuminer-Opt

Algorithm: LBC, LBRY Credits

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: LBC, LBRY CreditsAVX512 OffAVX512 On4008001200160020001052.192003.50

Cpuminer-Opt

CPU Temperature Monitor

MinAvgMaxAVX512 On34.942.247.0AVX512 Off33.940.944.6OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.20.3CPU Temperature Monitor1428425670

Cpuminer-Opt

CPU Power Consumption Monitor

MinAvgMaxAVX512 On19.9167.1199.7AVX512 Off20.4160.1173.0OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor50100150200250

Cpuminer-Opt

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 On225030213097AVX512 Off225030463099OpenBenchmarking.orgMegahertz, More Is BetterCpuminer-Opt 3.20.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Cpuminer-Opt

Algorithm: Myriad-Groestl

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: Myriad-GroestlAVX512 OffAVX512 On122436486044.6751.65

Cpuminer-Opt

CPU Temperature Monitor

MinAvgMaxAVX512 On34.463.471.9AVX512 Off33.062.971.9OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.20.3CPU Temperature Monitor20406080100

Cpuminer-Opt

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off20.2324.2376.0AVX512 On20.2318.3370.8OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor100200300400500

Cpuminer-Opt

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 On225028043143AVX512 Off225028993096OpenBenchmarking.orgMegahertz, More Is BetterCpuminer-Opt 3.20.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Cpuminer-Opt

Algorithm: Skeincoin

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: SkeincoinAVX512 OffAVX512 On80016002400320040002892.873691.56

Cpuminer-Opt

CPU Temperature Monitor

MinAvgMaxAVX512 On38.145.447.9AVX512 Off36.843.746.6OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.20.3CPU Temperature Monitor1428425670

Cpuminer-Opt

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off20.8195.1204.9AVX512 On20.7194.9210.1OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor60120180240300

Cpuminer-Opt

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 On225030583102AVX512 Off225030653102OpenBenchmarking.orgMegahertz, More Is BetterCpuminer-Opt 3.20.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Cpuminer-Opt

Algorithm: Garlicoin

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: GarlicoinAVX512 OffAVX512 On60120180240300202.32272.43

Cpuminer-Opt

CPU Temperature Monitor

MinAvgMaxAVX512 On33.964.072.8AVX512 Off31.164.070.0OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.20.3CPU Temperature Monitor20406080100

Cpuminer-Opt

CPU Power Consumption Monitor

MinAvgMaxAVX512 On20.4326.6376.0AVX512 Off21.0313.1358.1OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor100200300400500

Cpuminer-Opt

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225027793096AVX512 On225029253002OpenBenchmarking.orgMegahertz, More Is BetterCpuminer-Opt 3.20.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Cpuminer-Opt

Algorithm: Blake-2 S

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: Blake-2 SAVX512 OffAVX512 On5K10K15K20K25K14551.2422160.82

Cpuminer-Opt

CPU Temperature Monitor

MinAvgMaxAVX512 On39.566.473.3AVX512 Off38.163.670.0OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.20.3CPU Temperature Monitor20406080100

Cpuminer-Opt

CPU Power Consumption Monitor

MinAvgMaxAVX512 On20.9335.8385.3AVX512 Off20.9314.0361.0OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor100200300400500

Cpuminer-Opt

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225029523091AVX512 On225029593095OpenBenchmarking.orgMegahertz, More Is BetterCpuminer-Opt 3.20.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Cpuminer-Opt

Algorithm: scrypt

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: scryptAVX512 OffAVX512 On2468106.4768.913

Cpuminer-Opt

CPU Temperature Monitor

MinAvgMaxAVX512 On39.458.764.3AVX512 Off37.655.259.5OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.20.3CPU Temperature Monitor20406080100

Cpuminer-Opt

CPU Power Consumption Monitor

MinAvgMaxAVX512 On20.4295.4341.0AVX512 Off21.0278.5321.6OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor80160240320400

Cpuminer-Opt

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 On225029093099AVX512 Off225030193099OpenBenchmarking.orgMegahertz, More Is BetterCpuminer-Opt 3.20.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Cpuminer-Opt

Algorithm: x25x

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: x25xAVX512 OffAVX512 On4812162010.8116.85

oneDNN

CPU Temperature Monitor

MinAvgMaxAVX512 Off24.539.845.1AVX512 On30.439.245.3OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1CPU Temperature Monitor1224364860

oneDNN

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off19.8202.0272.5AVX512 On20.0176.7277.9OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1CPU Power Consumption Monitor70140210280350

oneDNN

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225028243100AVX512 On225029983097OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OSPRay

CPU Temperature Monitor

MinAvgMaxAVX512 Off40.057.062.8AVX512 On40.055.661.3OpenBenchmarking.orgCelsius, Fewer Is BetterOSPRay 2.12CPU Temperature Monitor20406080100

OSPRay

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off21.2271.7321.8AVX512 On21.1263.0313.6OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor80160240320400

OSPRay

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 On225030243099AVX512 Off225030523098OpenBenchmarking.orgMegahertz, More Is BetterOSPRay 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeAVX512 OffAVX512 On0.02390.04780.07170.09560.11950.0720.106

OSPRay

CPU Temperature Monitor

MinAvgMaxAVX512 Off39.459.766.1AVX512 On39.457.264.3OpenBenchmarking.orgCelsius, Fewer Is BetterOSPRay 2.12CPU Temperature Monitor20406080100

OSPRay

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off20.9292.2347.0AVX512 On20.9278.8332.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor100200300400500

OSPRay

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 On225028753096AVX512 Off225029253101OpenBenchmarking.orgMegahertz, More Is BetterOSPRay 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OSPRay

Benchmark: gravity_spheres_volume/dim_512/scivis/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeAVX512 OffAVX512 On0.02570.05140.07710.10280.12850.0620.114

OSPRay

CPU Temperature Monitor

MinAvgMaxAVX512 Off32.057.565.3AVX512 On33.555.163.3OpenBenchmarking.orgCelsius, Fewer Is BetterOSPRay 2.12CPU Temperature Monitor20406080100

OSPRay

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off20.8290.6346.2AVX512 On20.1276.9329.8OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor100200300400500

OSPRay

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 On225028853099AVX512 Off225029263096OpenBenchmarking.orgMegahertz, More Is BetterOSPRay 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OSPRay

Benchmark: gravity_spheres_volume/dim_512/ao/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeAVX512 OffAVX512 On0.02660.05320.07980.10640.1330.0660.118

OpenVKL

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 1.3.1CPU Temperature MonitorAVX512 OffAVX512 On1326395265Min: 30.38 / Avg: 54.49 / Max: 64.75Min: 30.63 / Avg: 53.11 / Max: 62.25

OpenVKL

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 1.3.1CPU Power Consumption MonitorAVX512 OffAVX512 On60120180240300Min: 10.21 / Avg: 258.07 / Max: 348.15Min: 19.9 / Avg: 238.66 / Max: 322.17

OpenVKL

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 1.3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorAVX512 OffAVX512 On5001000150020002500Min: 2250 / Avg: 2958.42 / Max: 3128Min: 2250 / Avg: 2983.53 / Max: 3118

OpenVKL

Benchmark: vklBenchmark ISPC

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ISPCAVX512 OffAVX512 On1.31812.63623.95435.27246.59054.5695.858

Embree

CPU Temperature Monitor

MinAvgMaxAVX512 On32.539.347.0AVX512 Off32.536.747.0OpenBenchmarking.orgCelsius, Fewer Is BetterEmbree 4.1CPU Temperature Monitor1428425670

Embree

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off20.2136.9330.7AVX512 On20.3126.0325.6OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.1CPU Power Consumption Monitor80160240320400

Embree

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 On225028413101AVX512 Off225028553098OpenBenchmarking.orgMegahertz, More Is BetterEmbree 4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Asian Dragon ObjAVX512 OffAVX512 On0.24080.48160.72240.96321.2040.8421.070

Embree

CPU Temperature Monitor

MinAvgMaxAVX512 Off33.542.250.0AVX512 On33.541.448.9OpenBenchmarking.orgCelsius, Fewer Is BetterEmbree 4.1CPU Temperature Monitor1428425670

Embree

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off20.4186.1333.2AVX512 On20.1171.3327.2OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.1CPU Power Consumption Monitor80160240320400

Embree

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 On225025653098AVX512 Off225025843096OpenBenchmarking.orgMegahertz, More Is BetterEmbree 4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Asian DragonAVX512 OffAVX512 On0.2070.4140.6210.8281.0350.7150.920

Embree

CPU Temperature Monitor

MinAvgMaxAVX512 Off33.344.252.8AVX512 On33.543.251.3OpenBenchmarking.orgCelsius, Fewer Is BetterEmbree 4.1CPU Temperature Monitor1530456075

Embree

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off20.6200.3339.8AVX512 On20.3186.8333.7OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.1CPU Power Consumption Monitor80160240320400

Embree

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 On225025113101AVX512 Off225026273097OpenBenchmarking.orgMegahertz, More Is BetterEmbree 4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: CrownAVX512 OffAVX512 On0.15120.30240.45360.60480.7560.5600.672

libxsmm

CPU Temperature Monitor

MinAvgMaxAVX512 On34.449.754.3AVX512 Off33.549.453.3OpenBenchmarking.orgCelsius, Fewer Is Betterlibxsmm 2-1.17-3645CPU Temperature Monitor1530456075

libxsmm

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off20.7211.9335.7AVX512 On20.5210.2340.2OpenBenchmarking.orgWatts, Fewer Is Betterlibxsmm 2-1.17-3645CPU Power Consumption Monitor80160240320400

libxsmm

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off223930383143AVX512 On225030543135OpenBenchmarking.orgMegahertz, More Is Betterlibxsmm 2-1.17-3645CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

libxsmm

M N K: 256

OpenBenchmarking.orgGFLOPS/s Per Watt, More Is Betterlibxsmm 2-1.17-3645M N K: 256AVX512 OffAVX512 On4812162011.4015.90

libxsmm

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is Betterlibxsmm 2-1.17-3645CPU Temperature MonitorAVX512 OnAVX512 Off1122334455Min: 35.75 / Avg: 50.34 / Max: 53.25Min: 35.5 / Avg: 49.14 / Max: 50.88

libxsmm

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is Betterlibxsmm 2-1.17-3645CPU Power Consumption MonitorAVX512 OnAVX512 Off60120180240300Min: 20.28 / Avg: 205.93 / Max: 329.89Min: 20.58 / Avg: 205.43 / Max: 327.08

libxsmm

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is Betterlibxsmm 2-1.17-3645CPU Peak Freq (Highest CPU Core Frequency) MonitorAVX512 OffAVX512 On5001000150020002500Min: 2250 / Avg: 3086 / Max: 3117Min: 2250 / Avg: 3087.64 / Max: 3133

libxsmm

M N K: 128

OpenBenchmarking.orgGFLOPS/s Per Watt, More Is Betterlibxsmm 2-1.17-3645M N K: 128AVX512 OffAVX512 On369121512.5313.07

miniBUDE

CPU Temperature Monitor

MinAvgMaxAVX512 Off27.955.164.1AVX512 On29.353.462.3OpenBenchmarking.orgCelsius, Fewer Is BetterminiBUDE 20210901CPU Temperature Monitor20406080100

miniBUDE

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off19.7292.3341.7AVX512 On19.7268.3323.2OpenBenchmarking.orgWatts, Fewer Is BetterminiBUDE 20210901CPU Power Consumption Monitor80160240320400

miniBUDE

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225026963098AVX512 On225027963014OpenBenchmarking.orgMegahertz, More Is BetterminiBUDE 20210901CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

miniBUDE

Implementation: OpenMP - Input Deck: BM2

OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2AVX512 OffAVX512 On0.20030.40060.60090.80121.00150.620.89

miniBUDE

CPU Temperature Monitor

MinAvgMaxAVX512 Off20.837.052.8AVX512 On23.336.350.8OpenBenchmarking.orgCelsius, Fewer Is BetterminiBUDE 20210901CPU Temperature Monitor1530456075

miniBUDE

CPU Power Consumption Monitor

MinAvgMaxAVX512 Off19.5182.4337.5AVX512 On19.2152.9317.5OpenBenchmarking.orgWatts, Fewer Is BetterminiBUDE 20210901CPU Power Consumption Monitor80160240320400

miniBUDE

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxAVX512 Off225025293096AVX512 On225025973098OpenBenchmarking.orgMegahertz, More Is BetterminiBUDE 20210901CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1AVX512 OffAVX512 On0.34880.69761.04641.39521.7441.0261.550


Phoronix Test Suite v10.8.4