Add Processor To Compare:


 
Intel Core i9-12900K  
AMD EPYC 7373X 16-Core  
Core Count
16
16
Thread Count
24
32
CPU Clock *
6.5 GHz
3.1 GHz
Core Family
Alder Lake
Zen 3
First Appeared
2021
2022
Overall Percentile
75th
62nd
Total OpenBenchmarking.org Results
18,700
895
Qualified Test Combinations
665
114
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 75 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 i9-12900K51015202522.1917.79

AMD EPYC 7373X 16-Core had the most wins, coming in first place for 64% of the tests.

Based on the geometric mean of all complete results, the fastest (AMD EPYC 7373X 16-Core) was 1.247x the speed of the slowest (Intel Core i9-12900K).

The results with the greatest spread from best to worst included: ONNX Runtime (Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel) at 3.788x, ASKAP (Test: tConvolve MPI - Degridding) at 2.903x, Xcompact3d Incompact3d (Input: input.i3d 193 Cells Per Direction) at 2.103x, Java JMH (Throughput) at 1.949x, NAS Parallel Benchmarks (Test / Class: IS.D) at 1.904x, oneDNN (Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU) at 1.795x, Mlpack Benchmark (Benchmark: scikit_svm) at 1.762x, TensorFlow Lite (Model: NASNet Mobile) at 1.686x, oneDNN (Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU) at 1.609x, oneDNN (Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU) at 1.59x.


75 Benchmarks Found In Common - Sort By: Greatest Spread

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 21.06Test: Decompression RatingAMD EPYC 7373X 16-CoreIntel Core i9-12900K30K60K90K120K150KSE +/- 537.09, N = 3SE +/- 1097.36, N = 5912769793627
OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateAMD EPYC 7373X 16-CoreIntel Core i9-12900K246810SE +/- 0.103, N = 6SE +/- 0.090, N = 217.9705.900
OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - GriddingAMD EPYC 7373X 16-CoreIntel Core i9-12900K15003000450060007500SE +/- 3.63, N = 5SE +/- 74.95, N = 1571862030
OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - DegriddingAMD EPYC 7373X 16-CoreIntel Core i9-12900K2K4K6K8K10KSE +/- 29.92, N = 5SE +/- 98.60, N = 1598412813
OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingAMD EPYC 7373X 16-CoreIntel Core i9-12900K2K4K6K8K10KSE +/- 133.51, N = 7SE +/- 62.72, N = 10114333939
OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingAMD EPYC 7373X 16-CoreIntel Core i9-12900K3K6K9K12K15KSE +/- 113.39, N = 7SE +/- 107.80, N = 10149534193
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.0Blend File: Classroom - Compute: CPU-OnlyIntel Core i9-12900KAMD EPYC 7373X 16-Core50100150200250SE +/- 1.63, N = 28SE +/- 0.34, N = 8212213
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.0Blend File: Fishy Cat - Compute: CPU-OnlyAMD EPYC 7373X 16-CoreIntel Core i9-12900K20406080100SE +/- 0.17, N = 7SE +/- 0.66, N = 28104111
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.0Blend File: Pabellon Barcelona - Compute: CPU-OnlyAMD EPYC 7373X 16-CoreIntel Core i9-12900K60120180240300SE +/- 0.42, N = 7SE +/- 1.23, N = 29261264
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.0Blend File: Barbershop - Compute: CPU-OnlyAMD EPYC 7373X 16-CoreIntel Core i9-12900K2004006008001000SE +/- 1.54, N = 7SE +/- 8.19, N = 23818870
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Intel Core i9-12900KAMD EPYC 7373X 16-Core9K18K27K36K45KSE +/- 554.18, N = 6SE +/- 94.05, N = 52634639924
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Intel Core i9-12900KAMD EPYC 7373X 16-Core20K40K60K80K100KSE +/- 1652.12, N = 6SE +/- 186.75, N = 571484109672
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsAMD EPYC 7373X 16-CoreIntel Core i9-12900K1326395265SE +/- 0.05, N = 5SE +/- 2.90, N = 617.7059.70
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingAMD EPYC 7373X 16-CoreIntel Core i9-12900K30060090012001500SE +/- 0.89, N = 5SE +/- 35.73, N = 1212031153
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterIntel Core i9-12900KAMD EPYC 7373X 16-Core30060090012001500SE +/- 53.52, N = 12SE +/- 0.73, N = 515531157
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: CrownAMD EPYC 7373X 16-CoreIntel Core i9-12900K510152025SE +/- 0.01, N = 3SE +/- 0.45, N = 3722.0019.90
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Asian DragonAMD EPYC 7373X 16-CoreIntel Core i9-12900K612182430SE +/- 0.21, N = 3SE +/- 0.36, N = 3025.2021.30
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian DragonIntel Core i9-12900KAMD EPYC 7373X 16-Core612182430SE +/- 0.34, N = 34SE +/- 0.08, N = 324.0022.90
OpenBenchmarking.orgOps/s, More Is BetterJava JMHThroughputIntel Core i9-12900KAMD EPYC 7373X 16-Core11000M22000M33000M44000M55000MSE +/- 272674109.90, N = 3SE +/- 55899753.19, N = 55229975929826837339924
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsAMD EPYC 7373X 16-CoreIntel Core i9-12900K3691215SE +/- 0.053, N = 7SE +/- 0.425, N = 412.0609.420
OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallAMD EPYC 7373X 16-CoreIntel Core i9-12900K5K10K15K20K25KSE +/- 76.68, N = 5SE +/- 633.55, N = 5215139778
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmIntel Core i9-12900KAMD EPYC 7373X 16-Core510152025SE +/- 0.34, N = 3SE +/- 0.03, N = 310.9019.20
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsIntel Core i9-12900KAMD EPYC 7373X 16-Core0.2350.470.7050.941.175SE +/- 0.01201, N = 49SE +/- 0.00134, N = 30.850001.04000
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CAMD EPYC 7373X 16-CoreIntel Core i9-12900K20K40K60K80K100KSE +/- 420.31, N = 6SE +/- 2708.27, N = 58051242826
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CAMD EPYC 7373X 16-CoreIntel Core i9-12900K7K14K21K28K35KSE +/- 186.22, N = 6SE +/- 476.13, N = 5311957941
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CAMD EPYC 7373X 16-CoreIntel Core i9-12900K30060090012001500SE +/- 2.21, N = 5SE +/- 36.62, N = 615761516
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DAMD EPYC 7373X 16-CoreIntel Core i9-12900K30060090012001500SE +/- 4.79, N = 5SE +/- 51.41, N = 415751489
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CAMD EPYC 7373X 16-CoreIntel Core i9-12900K9K18K27K36K45KSE +/- 86.10, N = 5SE +/- 699.14, N = 54414919589
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DAMD EPYC 7373X 16-CoreIntel Core i9-12900K5001000150020002500SE +/- 28.55, N = 6SE +/- 25.16, N = 321461127
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CAMD EPYC 7373X 16-CoreIntel Core i9-12900K20K40K60K80K100KSE +/- 449.30, N = 6SE +/- 2427.94, N = 610453844673
OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 BuckyballAMD EPYC 7373X 16-CoreIntel Core i9-12900K12002400360048006000SE +/- 69.59, N = 7SE +/- 198.02, N = 1855685725
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUAMD EPYC 7373X 16-CoreIntel Core i9-12900K0.59351.1871.78052.3742.9675SE +/- 0.00346, N = 3SE +/- 0.00288, N = 61.840002.64000
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUAMD EPYC 7373X 16-CoreIntel Core i9-12900K0.23880.47760.71640.95521.194SE +/- 0.02742, N = 3SE +/- 0.00546, N = 50.910001.06000
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUAMD EPYC 7373X 16-CoreIntel Core i9-12900K0.19410.38820.58230.77640.9705SE +/- 0.00458, N = 5SE +/- 0.01402, N = 50.480000.86000
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUAMD EPYC 7373X 16-CoreIntel Core i9-12900K246810SE +/- 0.205, N = 5SE +/- 0.115, N = 56.5108.330
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUAMD EPYC 7373X 16-CoreIntel Core i9-12900K0.30340.60680.91021.21361.517SE +/- 0.05602, N = 3SE +/- 0.00280, N = 51.210001.35000
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUAMD EPYC 7373X 16-CoreIntel Core i9-12900K6001200180024003000SE +/- 14.24, N = 5SE +/- 1.04, N = 618122881
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUAMD EPYC 7373X 16-CoreIntel Core i9-12900K30060090012001500SE +/- 16.51, N = 3SE +/- 0.45, N = 610031614
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUAMD EPYC 7373X 16-CoreIntel Core i9-12900K6001200180024003000SE +/- 14.87, N = 5SE +/- 0.82, N = 618222882
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUAMD EPYC 7373X 16-CoreIntel Core i9-12900K30060090012001500SE +/- 2.92, N = 5SE +/- 0.96, N = 610211615
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUAMD EPYC 7373X 16-CoreIntel Core i9-12900K6001200180024003000SE +/- 8.54, N = 5SE +/- 0.72, N = 618312882
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUAMD EPYC 7373X 16-CoreIntel Core i9-12900K30060090012001500SE +/- 3.56, N = 3SE +/- 2.34, N = 610301619
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: ParallelIntel Core i9-12900KAMD EPYC 7373X 16-Core2K4K6K8K10KSE +/- 18.26, N = 6SE +/- 27.64, N = 580695328
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: StandardAMD EPYC 7373X 16-CoreIntel Core i9-12900K4K8K12K16K20KSE +/- 257.79, N = 5SE +/- 11.87, N = 161699511084
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: ParallelIntel Core i9-12900KAMD EPYC 7373X 16-Core140280420560700SE +/- 0.93, N = 5SE +/- 1.15, N = 3631463
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: StandardIntel Core i9-12900KAMD EPYC 7373X 16-Core150300450600750SE +/- 3.75, N = 16SE +/- 19.97, N = 5678402
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: ParallelIntel Core i9-12900KAMD EPYC 7373X 16-Core2004006008001000SE +/- 7.76, N = 5SE +/- 3.43, N = 5936770
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: ParallelIntel Core i9-12900KAMD EPYC 7373X 16-Core20406080100SE +/- 0.00, N = 5SE +/- 0.58, N = 311188
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: StandardIntel Core i9-12900KAMD EPYC 7373X 16-Core20406080100SE +/- 0.85, N = 13SE +/- 0.33, N = 39893
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: ParallelAMD EPYC 7373X 16-CoreIntel Core i9-12900K30060090012001500SE +/- 1.45, N = 3SE +/- 0.45, N = 51375363
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardIntel Core i9-12900KAMD EPYC 7373X 16-Core400800120016002000SE +/- 10.85, N = 16SE +/- 22.66, N = 319471492
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: super-resolution-10 - Device: CPU - Executor: ParallelAMD EPYC 7373X 16-CoreIntel Core i9-12900K11002200330044005500SE +/- 24.02, N = 5SE +/- 11.58, N = 650884501
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: super-resolution-10 - Device: CPU - Executor: StandardIntel Core i9-12900KAMD EPYC 7373X 16-Core11002200330044005500SE +/- 80.57, N = 11SE +/- 30.96, N = 553394954
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30MAMD EPYC 7373X 16-CoreIntel Core i9-12900K20406080100SE +/- 0.01, N = 5SE +/- 2.56, N = 627.0092.00
OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.0Algorithm: RSA4096AMD EPYC 7373X 16-CoreIntel Core i9-12900K9001800270036004500SE +/- 6.74, N = 3SE +/- 50.07, N = 3743404107
OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.0Algorithm: RSA4096AMD EPYC 7373X 16-CoreIntel Core i9-12900K60K120K180K240K300KSE +/- 355.98, N = 3SE +/- 3285.97, N = 38282680268103
OpenBenchmarking.orgItems Per Second, More Is BetterOSPray 2.9Benchmark: particle_volume/scivis/real_timeIntel Core i9-12900KAMD EPYC 7373X 16-Core714212835SE +/- 0.03, N = 4SE +/- 0.05, N = 528.2024.60
OpenBenchmarking.orgItems Per Second, More Is BetterOSPray 2.9Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeIntel Core i9-12900KAMD EPYC 7373X 16-Core0.86311.72622.58933.45244.3155SE +/- 0.08827, N = 4SE +/- 0.00754, N = 53.840002.81000
OpenBenchmarking.orgSeconds, Fewer Is BetterParboil 2.5Test: OpenMP MRI GriddingIntel Core i9-12900KAMD EPYC 7373X 16-Core20406080100SE +/- 5.44, N = 4SE +/- 0.14, N = 57897
OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigAMD EPYC 7373X 16-CoreIntel Core i9-12900K4080120160200SE +/- 0.09, N = 7SE +/- 4.82, N = 524.00176.00
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUAMD EPYC 7373X 16-CoreIntel Core i9-12900K3691215SE +/- 0.03, N = 5SE +/- 0.18, N = 2611.308.90
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetIntel Core i9-12900KAMD EPYC 7373X 16-Core20K40K60K80K100KSE +/- 156.75, N = 15SE +/- 4.18, N = 588734108274
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Intel Core i9-12900KAMD EPYC 7373X 16-Core300K600K900K1200K1500KSE +/- 968.95, N = 15SE +/- 396.01, N = 512668381534562
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileIntel Core i9-12900KAMD EPYC 7373X 16-Core30K60K90K120K150KSE +/- 204.59, N = 16SE +/- 339.77, N = 573113123257
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatIntel Core i9-12900KAMD EPYC 7373X 16-Core15K30K45K60K75KSE +/- 66.00, N = 15SE +/- 80.91, N = 55923070466
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantIntel Core i9-12900KAMD EPYC 7373X 16-Core17K34K51K68K85KSE +/- 20.43, N = 16SE +/- 95.39, N = 56199877305
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Intel Core i9-12900KAMD EPYC 7373X 16-Core300K600K900K1200K1500KSE +/- 1067.26, N = 15SE +/- 744.53, N = 511407131374502
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 21.2Time To CompileIntel Core i9-12900KAMD EPYC 7373X 16-Core50100150200250SE +/- 4.03, N = 22SE +/- 6.33, N = 6243251
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.16Build: defconfigAMD EPYC 7373X 16-CoreIntel Core i9-12900K1122334455SE +/- 0.64, N = 9SE +/- 0.43, N = 5649.2050.30
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.16Build: allmodconfigAMD EPYC 7373X 16-CoreIntel Core i9-12900K130260390520650SE +/- 7.85, N = 9SE +/- 8.71, N = 36593623
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To CompileAMD EPYC 7373X 16-CoreIntel Core i9-12900K612182430SE +/- 0.53, N = 6SE +/- 0.42, N = 4626.9027.40
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 17.3Time To CompileAMD EPYC 7373X 16-CoreIntel Core i9-12900K70140210280350SE +/- 6.00, N = 6SE +/- 5.32, N = 44271330
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v2Intel Core i9-12900KAMD EPYC 7373X 16-Core60120180240300SE +/- 5.53, N = 21SE +/- 0.09, N = 3195292
OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per DirectionAMD EPYC 7373X 16-CoreIntel Core i9-12900K48121620SE +/- 0.392, N = 7SE +/- 0.126, N = 48.38014.340
OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionAMD EPYC 7373X 16-CoreIntel Core i9-12900K1326395265SE +/- 0.38, N = 8SE +/- 0.04, N = 426.0056.00