Amazon EC2 benchmarking 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 2112046-TJ-2108199TJ92
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
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 |==========================
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 |=========================
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 |=========================================
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 |================================================
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 |======================
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 |=========================
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 |===================================
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 |========================================
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 |=========================================================
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 |===================================