Add Processor To Compare:


 
Intel Core i9-12900K  
AMD EPYC 7373X 16-Core  
AMD Ryzen 9 5950X 16-Core  
Core Count
16
16
16
Thread Count
24
32
32
CPU Clock *
6.5 GHz
3.1 GHz
3.4 GHz
Core Family
Alder Lake
Zen 3
Zen 3
First Appeared
2021
2022
2020
Overall Percentile
74th
62nd
75th
Total OpenBenchmarking.org Results
16,021
895
46,390
Qualified Test Combinations
563
114
965
Performance Per Dollar
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* Note: Due to differences in Linux drivers/interfaces, the reported CPU clock may be displayed different depending upon the CPU - i.e. base vs. boost frequency.
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Of the components selected for comparison, there were 70 benchmarks in common (matching test profile, test version and any configurable test options) and where that data was statistically significant and at least three independent data points for each component of the public test results on OpenBenchmarking.org.

OpenBenchmarking.orgGeometric Mean, More Is BetterGeometric Mean Of All Test ResultsResult CompositeAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core61218243023.8419.3317.81

AMD EPYC 7373X 16-Core had the most wins, coming in first place for 40% of the tests.

Based on the geometric mean of all complete results, the fastest (AMD EPYC 7373X 16-Core) was 1.339x the speed of the slowest (AMD Ryzen 9 5950X 16-Core). Intel Core i9-12900K was 0.811x the speed of AMD EPYC 7373X 16-Core and AMD Ryzen 9 5950X 16-Core was 0.921x the speed of Intel Core i9-12900K.

The results with the greatest spread from best to worst included: miniFE (Problem Size: Small) at 5.342x, ONNX Runtime (Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel) at 4.231x, ASKAP (Test: tConvolve MPI - Degridding) at 2.903x, ONNX Runtime (Model: GPT-2 - Device: CPU - Executor: Standard) at 2.387x, ONNX Runtime (Model: yolov4 - Device: CPU - Executor: Parallel) at 2.139x, Java JMH (Throughput) at 1.949x, oneDNN (Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU) at 1.83x, oneDNN (Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU) at 1.824x, oneDNN (Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU) at 1.795x, Mlpack Benchmark (Benchmark: scikit_svm) at 1.762x.


70 Benchmarks Found In Common - Sort By: Greatest Spread

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 21.06Test: Decompression RatingAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K30K60K90K120K150KSE +/- 1184.62, N = 55SE +/- 537.09, N = 3SE +/- 1097.36, N = 5913923112769793627
OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K246810SE +/- 0.114, N = 47SE +/- 0.103, N = 6SE +/- 0.094, N = 208.8307.9705.880
OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - GriddingAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core15003000450060007500SE +/- 3.63, N = 5SE +/- 74.95, N = 15SE +/- 0.41, N = 2571862030786
OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - DegriddingAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core2K4K6K8K10KSE +/- 29.92, N = 5SE +/- 98.60, N = 15SE +/- 27.68, N = 26984128131375
OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingAMD EPYC 7373X 16-CoreAMD Ryzen 9 5950X 16-CoreIntel Core i9-12900K2K4K6K8K10KSE +/- 133.51, N = 7SE +/- 30.93, N = 16SE +/- 62.72, N = 101143366773939
OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingAMD EPYC 7373X 16-CoreAMD Ryzen 9 5950X 16-CoreIntel Core i9-12900K3K6K9K12K15KSE +/- 113.39, N = 7SE +/- 65.44, N = 16SE +/- 107.80, N = 101495367094193
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.0Blend File: Classroom - Compute: CPU-OnlyAMD Ryzen 9 5950X 16-CoreIntel Core i9-12900KAMD EPYC 7373X 16-Core50100150200250SE +/- 4.11, N = 26SE +/- 1.63, N = 28SE +/- 0.34, N = 8203212213
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.0Blend File: Fishy Cat - Compute: CPU-OnlyAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K20406080100SE +/- 1.64, N = 35SE +/- 0.17, N = 7SE +/- 0.66, N = 28101104111
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.0Blend File: Pabellon Barcelona - Compute: CPU-OnlyAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K60120180240300SE +/- 2.62, N = 27SE +/- 0.42, N = 7SE +/- 1.23, N = 29243261264
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.0Blend File: Barbershop - Compute: CPU-OnlyAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K2004006008001000SE +/- 13.31, N = 23SE +/- 1.54, N = 7SE +/- 8.19, N = 23776818870
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Intel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core9K18K27K36K45KSE +/- 554.18, N = 6SE +/- 633.79, N = 15SE +/- 94.05, N = 5263463831239924
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Intel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core20K40K60K80K100KSE +/- 1652.12, N = 6SE +/- 2032.50, N = 15SE +/- 186.75, N = 571484100613109672
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core306090120150SE +/- 0.05, N = 5SE +/- 0.08, N = 4SE +/- 2.87, N = 1717.7064.00131.00
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core30060090012001500SE +/- 0.89, N = 5SE +/- 35.73, N = 12SE +/- 5.69, N = 3012031153936
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterIntel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core30060090012001500SE +/- 53.52, N = 12SE +/- 7.34, N = 16SE +/- 0.73, N = 5155315161157
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Asian DragonAMD EPYC 7373X 16-CoreAMD Ryzen 9 5950X 16-CoreIntel Core i9-12900K612182430SE +/- 0.21, N = 3SE +/- 0.09, N = 35SE +/- 0.38, N = 2425.2024.7020.80
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian DragonIntel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core612182430SE +/- 0.35, N = 28SE +/- 0.05, N = 35SE +/- 0.08, N = 323.5023.2022.90
OpenBenchmarking.orgOps/s, More Is BetterJava JMHThroughputIntel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core11000M22000M33000M44000M55000MSE +/- 272674109.90, N = 3SE +/- 106464086.34, N = 4SE +/- 55899753.19, N = 5522997592982920181175726837339924
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K3691215SE +/- 0.090, N = 14SE +/- 0.053, N = 7SE +/- 0.425, N = 413.24012.0609.420
OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core5K10K15K20K25KSE +/- 76.68, N = 5SE +/- 7.51, N = 4SE +/- 0.61, N = 62151391454027
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmIntel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core510152025SE +/- 0.34, N = 3SE +/- 0.04, N = 23SE +/- 0.03, N = 310.9016.4019.20
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsIntel Core i9-12900KAMD EPYC 7373X 16-CoreAMD Ryzen 9 5950X 16-Core0.24390.48780.73170.97561.2195SE +/- 0.01245, N = 47SE +/- 0.00134, N = 3SE +/- 0.00231, N = 790.850001.040001.08000
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core20K40K60K80K100KSE +/- 420.31, N = 6SE +/- 2877.36, N = 4SE +/- 111.14, N = 27805124128824286
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core7K14K21K28K35KSE +/- 186.22, N = 6SE +/- 522.21, N = 4SE +/- 37.40, N = 283119576906944
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K400800120016002000SE +/- 5.75, N = 33SE +/- 2.21, N = 5SE +/- 56.06, N = 4187115761502
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K400800120016002000SE +/- 10.91, N = 15SE +/- 4.79, N = 5SE +/- 51.41, N = 4185715751489
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core9K18K27K36K45KSE +/- 86.10, N = 5SE +/- 861.69, N = 4SE +/- 60.26, N = 27441491938112269
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core5001000150020002500SE +/- 28.55, N = 6SE +/- 25.16, N = 3SE +/- 14.37, N = 1721461127661
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core20K40K60K80K100KSE +/- 449.30, N = 6SE +/- 2531.87, N = 4SE +/- 239.60, N = 301045384178728202
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core12K24K36K48K60KSE +/- 1420.48, N = 6SE +/- 1432.03, N = 4SE +/- 40.72, N = 28552661975610009
OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 BuckyballAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K12002400360048006000SE +/- 20.09, N = 4SE +/- 69.59, N = 7SE +/- 212.28, N = 16505155685816
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core0.84721.69442.54163.38884.236SE +/- 0.00346, N = 3SE +/- 0.00288, N = 6SE +/- 0.17769, N = 81.840002.640003.77000
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K0.23880.47760.71640.95521.194SE +/- 0.00307, N = 6SE +/- 0.02742, N = 3SE +/- 0.00546, N = 50.820000.910001.06000
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUAMD EPYC 7373X 16-CoreAMD Ryzen 9 5950X 16-CoreIntel Core i9-12900K0.19410.38820.58230.77640.9705SE +/- 0.00458, N = 5SE +/- 0.00523, N = 6SE +/- 0.01402, N = 50.480000.500000.86000
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K246810SE +/- 0.16099, N = 7SE +/- 0.20497, N = 5SE +/- 0.11470, N = 54.680006.510008.33000
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K0.30340.60680.91021.21361.517SE +/- 0.00477, N = 5SE +/- 0.05602, N = 3SE +/- 0.00280, N = 51.080001.210001.35000
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUAMD EPYC 7373X 16-CoreAMD Ryzen 9 5950X 16-CoreIntel Core i9-12900K6001200180024003000SE +/- 14.24, N = 5SE +/- 126.12, N = 7SE +/- 1.04, N = 6181227052881
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core400800120016002000SE +/- 16.51, N = 3SE +/- 0.45, N = 6SE +/- 91.83, N = 7100316141792
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUAMD EPYC 7373X 16-CoreAMD Ryzen 9 5950X 16-CoreIntel Core i9-12900K6001200180024003000SE +/- 14.87, N = 5SE +/- 35.77, N = 6SE +/- 0.82, N = 6182228522882
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core400800120016002000SE +/- 2.92, N = 5SE +/- 0.96, N = 6SE +/- 27.82, N = 6102116151868
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUAMD EPYC 7373X 16-CoreAMD Ryzen 9 5950X 16-CoreIntel Core i9-12900K6001200180024003000SE +/- 8.54, N = 5SE +/- 37.48, N = 6SE +/- 0.72, N = 6183128622882
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core400800120016002000SE +/- 3.56, N = 3SE +/- 2.34, N = 6SE +/- 24.01, N = 5103016191879
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: ParallelIntel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core2K4K6K8K10KSE +/- 18.26, N = 6SE +/- 61.98, N = 9SE +/- 27.64, N = 5806954075328
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: StandardAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core4K8K12K16K20KSE +/- 257.79, N = 5SE +/- 10.62, N = 15SE +/- 124.26, N = 816995110777121
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: ParallelIntel Core i9-12900KAMD EPYC 7373X 16-CoreAMD Ryzen 9 5950X 16-Core140280420560700SE +/- 0.93, N = 5SE +/- 1.15, N = 3SE +/- 0.21, N = 6631463295
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: StandardIntel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core150300450600750SE +/- 3.89, N = 15SE +/- 17.68, N = 6SE +/- 19.97, N = 5679492402
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: ParallelIntel Core i9-12900KAMD EPYC 7373X 16-CoreAMD Ryzen 9 5950X 16-Core2004006008001000SE +/- 7.76, N = 5SE +/- 3.43, N = 5SE +/- 17.70, N = 7936770568
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: ParallelIntel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core20406080100SE +/- 0.00, N = 5SE +/- 3.29, N = 7SE +/- 0.58, N = 31119288
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: ParallelAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K30060090012001500SE +/- 23.63, N = 7SE +/- 1.45, N = 3SE +/- 0.45, N = 515361375363
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardIntel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core400800120016002000SE +/- 10.85, N = 16SE +/- 81.48, N = 8SE +/- 22.66, N = 3194717051492
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: super-resolution-10 - Device: CPU - Executor: ParallelAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K14002800420056007000SE +/- 140.94, N = 8SE +/- 24.02, N = 5SE +/- 11.58, N = 6659250884501
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30MAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core20406080100SE +/- 0.01, N = 5SE +/- 2.56, N = 6SE +/- 1.56, N = 2927.0092.0095.00
OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.0Algorithm: RSA4096AMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K10002000300040005000SE +/- 15.91, N = 41SE +/- 6.74, N = 3SE +/- 52.33, N = 35483643404096
OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.0Algorithm: RSA4096AMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K70K140K210K280K350KSE +/- 979.15, N = 42SE +/- 355.98, N = 3SE +/- 3440.19, N = 36315631282680267475
OpenBenchmarking.orgItems Per Second, More Is BetterOSPray 2.9Benchmark: particle_volume/scivis/real_timeIntel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core714212835SE +/- 0.03, N = 4SE +/- 0.03, N = 10SE +/- 0.05, N = 528.2025.2024.60
OpenBenchmarking.orgItems Per Second, More Is BetterOSPray 2.9Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeIntel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core0.86311.72622.58933.45244.3155SE +/- 0.08827, N = 4SE +/- 0.00506, N = 9SE +/- 0.00754, N = 53.840003.060002.81000
OpenBenchmarking.orgSeconds, Fewer Is BetterParboil 2.5Test: OpenMP MRI GriddingIntel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core20406080100SE +/- 5.44, N = 4SE +/- 0.58, N = 9SE +/- 0.14, N = 5789697
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUAMD EPYC 7373X 16-CoreAMD Ryzen 9 5950X 16-CoreIntel Core i9-12900K3691215SE +/- 0.03, N = 5SE +/- 0.26, N = 33SE +/- 0.18, N = 2611.3010.508.90
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetIntel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core20K40K60K80K100KSE +/- 156.75, N = 15SE +/- 106.57, N = 54SE +/- 4.18, N = 58873494969108274
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Intel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core300K600K900K1200K1500KSE +/- 968.95, N = 15SE +/- 1859.34, N = 56SE +/- 396.01, N = 5126683813549021534562
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileIntel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core30K60K90K120K150KSE +/- 204.59, N = 16SE +/- 200.27, N = 54SE +/- 339.77, N = 573113104980123257
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatIntel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core15K30K45K60K75KSE +/- 66.00, N = 15SE +/- 52.29, N = 50SE +/- 80.91, N = 5592306275470466
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantIntel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core17K34K51K68K85KSE +/- 20.43, N = 16SE +/- 89.54, N = 53SE +/- 95.39, N = 5619986828777305
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Intel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core300K600K900K1200K1500KSE +/- 1067.26, N = 15SE +/- 1571.00, N = 53SE +/- 744.53, N = 5114071312185201374502
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 21.2Time To CompileIntel Core i9-12900KAMD EPYC 7373X 16-CoreAMD Ryzen 9 5950X 16-Core60120180240300SE +/- 4.31, N = 20SE +/- 6.33, N = 6SE +/- 3.47, N = 24245251255
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.16Build: defconfigAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K1122334455SE +/- 0.40, N = 80SE +/- 0.64, N = 9SE +/- 0.43, N = 5647.8049.2050.30
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.16Build: allmodconfigAMD EPYC 7373X 16-CoreAMD Ryzen 9 5950X 16-CoreIntel Core i9-12900K130260390520650SE +/- 7.85, N = 9SE +/- 6.99, N = 32SE +/- 8.71, N = 36593600623
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To CompileAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core714212835SE +/- 0.53, N = 6SE +/- 0.42, N = 44SE +/- 0.22, N = 9326.9027.6029.80
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 17.3Time To CompileAMD EPYC 7373X 16-CoreAMD Ryzen 9 5950X 16-CoreIntel Core i9-12900K70140210280350SE +/- 6.00, N = 6SE +/- 5.63, N = 14SE +/- 5.39, N = 42271302332
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v2Intel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core60120180240300SE +/- 5.60, N = 20SE +/- 0.75, N = 49SE +/- 0.09, N = 3196225292