Intel M6i Ice Lake vs. Graviton2 Amazon EC2 Benchmarks Amazon EC2 benchmarking for a future article. m6g.metal: Processor: ARMv8 Neoverse-N1 (64 Cores), Motherboard: Amazon EC2 m6g.metal v1.0, Memory: 252GB, Disk: 107GB Amazon Elastic Block Store, Network: Amazon Elastic OS: Ubuntu 20.04, Kernel: 5.4.0-1045-aws (aarch64), Vulkan: 1.0.2, Compiler: GCC 9.3.0, File-System: ext4 m5.24xlarge: Processor: 2 x Intel Xeon Platinum 8259CL (48 Cores / 96 Threads), Motherboard: Amazon EC2 m5.24xlarge (1.0 BIOS), Chipset: Intel 440FX 82441FX PMC, Memory: 374GB, Disk: 107GB Amazon Elastic Block Store, Network: Amazon Elastic OS: Ubuntu 20.04, Kernel: 5.4.0-1045-aws (x86_64), Vulkan: 1.0.2, Compiler: GCC 9.3.0, File-System: ext4, System Layer: KVM m6i.24xlarge: Processor: 2 x Intel Xeon Platinum 8375C (48 Cores / 96 Threads), Motherboard: Amazon EC2 m6i.24xlarge (1.0 BIOS), Chipset: Intel 440FX 82441FX PMC, Memory: 372GB, Disk: 107GB Amazon Elastic Block Store, Network: Amazon Elastic OS: Ubuntu 20.04, Kernel: 5.4.0-1045-aws (x86_64), Vulkan: 1.0.2, Compiler: GCC 9.3.0, File-System: ext4, System Layer: KVM m6i.32xlarge: Processor: 2 x Intel Xeon Platinum 8375C (64 Cores / 128 Threads), Motherboard: Amazon EC2 m6i.32xlarge (1.0 BIOS), Chipset: Intel 440FX 82441FX PMC, Memory: 496GB, Disk: 107GB Amazon Elastic Block Store, Network: Amazon Elastic OS: Ubuntu 20.04, Kernel: 5.4.0-1045-aws (x86_64), Vulkan: 1.0.2, Compiler: GCC 9.3.0, File-System: ext4, System Layer: KVM m6a.24xlarge: Processor: AMD EPYC 7R13 (48 Cores / 96 Threads), Motherboard: Amazon EC2 m6a.24xlarge (1.0 BIOS), Chipset: Intel 440FX 82441FX PMC, Memory: 370GB, Disk: 107GB Amazon Elastic Block Store, Network: Amazon Elastic OS: Ubuntu 20.04, Kernel: 5.11.0-1020-aws (x86_64), Vulkan: 1.0.2, Compiler: GCC 9.3.0, File-System: ext4, System Layer: KVM High Performance Conjugate Gradient 3.1 GFLOP/s > Higher Is Better m6g.metal .... 21.46 |=============================== m5.24xlarge .. 26.89 |======================================= m6i.24xlarge . 37.22 |====================================================== m6i.32xlarge . 39.13 |========================================================= m6a.24xlarge . 17.03 |========================= NAS Parallel Benchmarks 3.4 Test / Class: BT.C Total Mop/s > Higher Is Better m6g.metal .... 24464.82 |====== m5.24xlarge .. 104533.15 |=========================== m6i.24xlarge . 136431.11 |==================================== m6i.32xlarge . 202455.31 |===================================================== m6a.24xlarge . 92962.40 |======================== NAS Parallel Benchmarks 3.4 Test / Class: CG.C Total Mop/s > Higher Is Better m6g.metal .... 13438.71 |=================== m5.24xlarge .. 30206.03 |========================================== m6i.24xlarge . 33146.76 |============================================== m6i.32xlarge . 38736.50 |====================================================== m6a.24xlarge . 23714.82 |================================= NAS Parallel Benchmarks 3.4 Test / Class: EP.C Total Mop/s > Higher Is Better m6g.metal .... 2218.08 |=============== m5.24xlarge .. 4777.13 |================================ m6i.24xlarge . 6426.32 |============================================ m6i.32xlarge . 8107.02 |======================================================= m6a.24xlarge . 2759.76 |=================== NAS Parallel Benchmarks 3.4 Test / Class: EP.D Total Mop/s > Higher Is Better m6g.metal .... 2233.14 |============== m5.24xlarge .. 4875.47 |=============================== m6i.24xlarge . 6752.38 |========================================== m6i.32xlarge . 8765.66 |======================================================= m6a.24xlarge . 2780.04 |================= NAS Parallel Benchmarks 3.4 Test / Class: FT.C Total Mop/s > Higher Is Better m6g.metal .... 21850.28 |=========== m5.24xlarge .. 50800.74 |========================== m6i.24xlarge . 70031.71 |==================================== m6i.32xlarge . 102661.18 |===================================================== m6a.24xlarge . 54008.74 |============================ NAS Parallel Benchmarks 3.4 Test / Class: MG.C Total Mop/s > Higher Is Better m6g.metal .... 25872.77 |============ m5.24xlarge .. 65732.22 |============================== m6i.24xlarge . 88248.73 |======================================== m6i.32xlarge . 117771.92 |===================================================== m6a.24xlarge . 49638.45 |====================== miniFE 2.2 Problem Size: Small CG Mflops > Higher Is Better m6g.metal .... 23848.2 |======================================================= m5.24xlarge .. 14007.1 |================================ m6i.24xlarge . 19946.4 |============================================== m6i.32xlarge . 18797.6 |=========================================== m6a.24xlarge . 11197.8 |========================== Pennant 1.0.1 Test: sedovbig Hydro Cycle Time - Seconds < Lower Is Better m6g.metal .... 15.41 |=================================== m5.24xlarge .. 25.22 |========================================================= m6i.24xlarge . 17.25 |======================================= m6i.32xlarge . 15.14 |================================== m6a.24xlarge . 12.28 |============================ Pennant 1.0.1 Test: leblancbig Hydro Cycle Time - Seconds < Lower Is Better m6g.metal .... 11.297260 |===================================================== m5.24xlarge .. 10.030260 |=============================================== m6i.24xlarge . 6.413928 |============================== m6i.32xlarge . 5.105541 |======================== m6a.24xlarge . 7.508991 |=================================== Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 129 Cells Per Direction Seconds < Lower Is Better m6g.metal .... 5.18380547 |================================================== m5.24xlarge .. 4.76513163 |============================================== m6i.24xlarge . 3.49298970 |================================= m6i.32xlarge . 2.95411030 |============================ m6a.24xlarge . 5.42248488 |==================================================== Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 193 Cells Per Direction Seconds < Lower Is Better m6g.metal .... 23.25 |===================================================== m5.24xlarge .. 21.47 |================================================= m6i.24xlarge . 14.91 |================================== m6i.32xlarge . 12.59 |============================= m6a.24xlarge . 24.96 |========================================================= LULESH 2.0.3 z/s > Higher Is Better m6g.metal .... 16867.37 |========================= m5.24xlarge .. 16272.59 |========================= m6i.24xlarge . 22519.12 |================================== m6i.32xlarge . 35739.82 |====================================================== m6a.24xlarge . 16745.12 |========================= Coremark 1.0 CoreMark Size 666 - Iterations Per Second Iterations/Sec > Higher Is Better m6g.metal .... 1236555.80 |============================== m5.24xlarge .. 1451630.52 |=================================== m6i.24xlarge . 1607068.54 |======================================= m6i.32xlarge . 2128843.09 |==================================================== m6a.24xlarge . 1850380.04 |============================================= Stockfish 13 Total Time Nodes Per Second > Higher Is Better m6g.metal .... 96657449 |============================== m5.24xlarge .. 105658561 |================================= m6i.24xlarge . 136790816 |=========================================== m6i.32xlarge . 169762583 |===================================================== m6a.24xlarge . 127232305 |======================================== asmFish 2018-07-23 1024 Hash Memory, 26 Depth Nodes/second > Higher Is Better m6g.metal .... 104868482 |================================= m5.24xlarge .. 115160185 |==================================== m6i.24xlarge . 136656900 |=========================================== m6i.32xlarge . 169329043 |===================================================== m6a.24xlarge . 130814939 |========================================= POV-Ray 3.7.0.7 Trace Time Seconds < Lower Is Better m6g.metal .... 57.439 |======================================================== m5.24xlarge .. 42.964 |========================================== m6i.24xlarge . 10.631 |========== m6i.32xlarge . 9.015 |========= m6a.24xlarge . 10.726 |========== m-queens 1.2 Time To Solve Seconds < Lower Is Better m6g.metal .... 19.43 |================================================== m5.24xlarge .. 22.34 |========================================================= m6i.24xlarge . 16.07 |========================================= m6i.32xlarge . 12.33 |=============================== m6a.24xlarge . 12.33 |=============================== N-Queens 1.0 Elapsed Time Seconds < Lower Is Better m6g.metal .... 3.761 |======================================================= m5.24xlarge .. 3.892 |========================================================= m6i.24xlarge . 3.144 |============================================== m6i.32xlarge . 2.312 |================================== m6a.24xlarge . 2.382 |=================================== TNN 0.3 Target: CPU - Model: DenseNet ms < Lower Is Better m6g.metal .... 3288.83 |================================================ m5.24xlarge .. 3797.59 |======================================================= m6i.24xlarge . 3522.58 |=================================================== m6i.32xlarge . 3524.69 |=================================================== m6a.24xlarge . 2866.46 |========================================== TNN 0.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better m6g.metal .... 365.84 |================================================ m5.24xlarge .. 426.09 |======================================================== m6i.24xlarge . 350.38 |============================================== m6i.32xlarge . 349.17 |============================================== m6a.24xlarge . 312.78 |========================================= TNN 0.3 Target: CPU - Model: SqueezeNet v2 ms < Lower Is Better m6g.metal .... 105.07 |======================================================== m5.24xlarge .. 93.27 |================================================== m6i.24xlarge . 70.93 |====================================== m6i.32xlarge . 70.52 |====================================== m6a.24xlarge . 78.82 |========================================== TNN 0.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better m6g.metal .... 341.32 |================================================ m5.24xlarge .. 394.51 |======================================================== m6i.24xlarge . 357.72 |=================================================== m6i.32xlarge . 357.69 |=================================================== m6a.24xlarge . 282.81 |======================================== Facebook RocksDB 6.22.1 Test: Random Read Op/s > Higher Is Better m6g.metal .... 270332614 |================================================ m5.24xlarge .. 194576074 |=================================== m6i.24xlarge . 231109408 |========================================= m6i.32xlarge . 298073130 |===================================================== m6a.24xlarge . 269589717 |================================================