Amazon EC2 c7g.4xlarge Graviton3 Graviton3 benchmarks by Michael Larabel. c7g.4xlarge: Processor: ARMv8 Neoverse-V1 (16 Cores), Motherboard: Amazon EC2 c7g.4xlarge (1.0 BIOS), Chipset: Amazon Device 0200, Memory: 32GB, Disk: 193GB Amazon Elastic Block Store, Network: Amazon Elastic OS: Ubuntu 22.04, Kernel: 5.15.0-1004-aws (aarch64), Compiler: GCC 11.2.0, File-System: ext4, System Layer: amazon 16 vcpu ampere Vm: Processor: ARMv8 Neoverse-N1 (16 Cores), Motherboard: QEMU KVM Virtual Machine (0.0.0 BIOS), Chipset: Red Hat QEMU PCIe, Memory: 1 x 7000 MB RAM QEMU, Disk: 47GB, Network: Red Hat Virtio device OS: Ubuntu 20.04, Kernel: 5.4.0-100-generic (aarch64), Display Server: X Server 1.20.13, Vulkan: 1.1.182, Compiler: GCC 9.4.0, File-System: ext4, System Layer: KVM 16 vcpu ampere Vm run 2: Processor: ARMv8 Neoverse-N1 (16 Cores), Motherboard: QEMU KVM Virtual Machine (0.0.0 BIOS), Chipset: Red Hat QEMU PCIe, Memory: 16384 MB + 15031 MB RAM, Disk: 47GB, Network: Red Hat Virtio device OS: Ubuntu 20.04, Kernel: 5.4.0-100-generic (aarch64), Display Server: X Server 1.20.13, Vulkan: 1.1.182, Compiler: GCC 9.4.0, File-System: ext4, System Layer: KVM Apple M1: Processor: Apple M1 (8 Cores), Motherboard: Apple MacBook Air, Memory: 16GB, Disk: 229GB, Graphics: Apple M1, Monitor: Color LCD OS: macOS 12.4, Kernel: 21.5.0 (arm64), Compiler: GCC 13.0.0 + Clang 13.0.0, File-System: APFS, Screen Resolution: 2560x1600 QuantLib 1.21 MFLOPS > Higher Is Better c7g.4xlarge ............. 2512.7 |============================================= 16 vcpu ampere Vm ....... 1878.4 |================================== 16 vcpu ampere Vm run 2 . 1910.9 |================================== High Performance Conjugate Gradient 3.1 GFLOP/s > Higher Is Better c7g.4xlarge ............. 26.30580 |=========================================== 16 vcpu ampere Vm run 2 . 9.26003 |=============== NAS Parallel Benchmarks 3.4 Test / Class: BT.C Total Mop/s > Higher Is Better c7g.4xlarge ............. 10339.53 |=========================================== 16 vcpu ampere Vm ....... 6924.50 |============================= 16 vcpu ampere Vm run 2 . 6799.06 |============================ NAS Parallel Benchmarks 3.4 Test / Class: CG.C Total Mop/s > Higher Is Better c7g.4xlarge ............. 6571.95 |============================================ 16 vcpu ampere Vm ....... 2651.14 |================== 16 vcpu ampere Vm run 2 . 2436.26 |================ NAS Parallel Benchmarks 3.4 Test / Class: EP.D Total Mop/s > Higher Is Better c7g.4xlarge ............. 934.72 |============================================= 16 vcpu ampere Vm ....... 661.87 |================================ 16 vcpu ampere Vm run 2 . 660.38 |================================ NAS Parallel Benchmarks 3.4 Test / Class: FT.C Total Mop/s > Higher Is Better c7g.4xlarge ............. 11791.77 |=========================================== 16 vcpu ampere Vm ....... 650.95 |== 16 vcpu ampere Vm run 2 . 6338.87 |======================= NAS Parallel Benchmarks 3.4 Test / Class: IS.D Total Mop/s > Higher Is Better c7g.4xlarge ............. 1041.90 |============================================ 16 vcpu ampere Vm run 2 . 227.19 |========== NAS Parallel Benchmarks 3.4 Test / Class: LU.C Total Mop/s > Higher Is Better c7g.4xlarge ............. 7730.41 |============================================ 16 vcpu ampere Vm run 2 . 5892.12 |================================== NAS Parallel Benchmarks 3.4 Test / Class: MG.C Total Mop/s > Higher Is Better c7g.4xlarge ............. 13481.61 |=========================================== 16 vcpu ampere Vm run 2 . 6924.28 |====================== NAS Parallel Benchmarks 3.4 Test / Class: SP.C Total Mop/s > Higher Is Better c7g.4xlarge ............. 4467.19 |============================================ 16 vcpu ampere Vm run 2 . 2009.15 |==================== LeelaChessZero 0.28 Backend: BLAS Nodes Per Second > Higher Is Better c7g.4xlarge ............. 1103 |=============================================== 16 vcpu ampere Vm run 2 . 555 |======================== LeelaChessZero 0.28 Backend: Eigen Nodes Per Second > Higher Is Better c7g.4xlarge ............. 1189 |=============================================== 16 vcpu ampere Vm run 2 . 485 |=================== Rodinia 3.1 Test: OpenMP LavaMD Seconds < Lower Is Better c7g.4xlarge ............. 143.33 |================================== 16 vcpu ampere Vm run 2 . 190.40 |============================================= Rodinia 3.1 Test: OpenMP CFD Solver Seconds < Lower Is Better c7g.4xlarge ............. 10.48 |================= 16 vcpu ampere Vm run 2 . 27.85 |============================================== Rodinia 3.1 Test: OpenMP Streamcluster Seconds < Lower Is Better c7g.4xlarge ............. 13.30 |============ 16 vcpu ampere Vm run 2 . 52.39 |============================================== Algebraic Multi-Grid Benchmark 1.2 Figure Of Merit > Higher Is Better c7g.4xlarge ............. 1258807333 |========================================= 16 vcpu ampere Vm run 2 . 566477900 |================== Timed MrBayes Analysis 3.2.7 Primate Phylogeny Analysis Seconds < Lower Is Better c7g.4xlarge ............. 251.40 |================================= 16 vcpu ampere Vm run 2 . 339.72 |============================================= Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 129 Cells Per Direction Seconds < Lower Is Better c7g.4xlarge ............. 8.01671425 |================== 16 vcpu ampere Vm run 2 . 17.90389740 |======================================== Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 193 Cells Per Direction Seconds < Lower Is Better c7g.4xlarge ............. 29.13 |======================= 16 vcpu ampere Vm run 2 . 58.26 |============================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: 20k Atoms ns/day > Higher Is Better c7g.4xlarge ............. 11.425 |============================================= 16 vcpu ampere Vm run 2 . 5.586 |====================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein ns/day > Higher Is Better c7g.4xlarge ............. 11.291 |============================================= 16 vcpu ampere Vm run 2 . 5.495 |====================== LULESH 2.0.3 z/s > Higher Is Better c7g.4xlarge ............. 10940.94 |=========================================== 16 vcpu ampere Vm run 2 . 3014.47 |============ WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless Encode Time - Seconds < Lower Is Better c7g.4xlarge ............. 22.77 |================== 16 vcpu ampere Vm run 2 . 58.69 |============================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression Encode Time - Seconds < Lower Is Better c7g.4xlarge ............. 9.346 |========================================= 16 vcpu ampere Vm run 2 . 10.299 |============================================= WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression Encode Time - Seconds < Lower Is Better c7g.4xlarge ............. 48.21 |================= 16 vcpu ampere Vm run 2 . 125.47 |============================================= simdjson 1.0 Throughput Test: Kostya GB/s > Higher Is Better c7g.4xlarge ............. 1.94 |============================== 16 vcpu ampere Vm run 2 . 1.30 |==================== Apple M1 ................ 3.04 |=============================================== simdjson 1.0 Throughput Test: LargeRandom GB/s > Higher Is Better c7g.4xlarge ............. 0.70 |================================= 16 vcpu ampere Vm run 2 . 0.55 |========================== Apple M1 ................ 0.99 |=============================================== simdjson 1.0 Throughput Test: PartialTweets GB/s > Higher Is Better c7g.4xlarge ............. 2.62 |============================= 16 vcpu ampere Vm run 2 . 1.65 |=================== Apple M1 ................ 4.19 |=============================================== simdjson 1.0 Throughput Test: DistinctUserID GB/s > Higher Is Better c7g.4xlarge ............. 2.69 |============================= 16 vcpu ampere Vm run 2 . 1.66 |================== Apple M1 ................ 4.32 |=============================================== DaCapo Benchmark 9.12-MR1 Java Test: H2 msec < Lower Is Better c7g.4xlarge ............. 2951 |============== 16 vcpu ampere Vm run 2 . 9907 |=============================================== DaCapo Benchmark 9.12-MR1 Java Test: Jython msec < Lower Is Better c7g.4xlarge ............. 3940 |=========================== 16 vcpu ampere Vm run 2 . 6753 |=============================================== DaCapo Benchmark 9.12-MR1 Java Test: Tradesoap msec < Lower Is Better c7g.4xlarge ............. 3524 |========== 16 vcpu ampere Vm run 2 . 16126 |============================================== DaCapo Benchmark 9.12-MR1 Java Test: Tradebeans msec < Lower Is Better c7g.4xlarge ............. 3203 |====== 16 vcpu ampere Vm run 2 . 24436 |============================================== Zstd Compression 1.5.0 Compression Level: 3 - Compression Speed MB/s > Higher Is Better c7g.4xlarge ............. 4639.1 |============================================= 16 vcpu ampere Vm run 2 . 1063.3 |========== Apple M1 ................ 3807.8 |===================================== Zstd Compression 1.5.0 Compression Level: 3 - Decompression Speed MB/s > Higher Is Better c7g.4xlarge ............. 3508.5 |====================================== 16 vcpu ampere Vm run 2 . 2095.8 |====================== Apple M1 ................ 4199.0 |============================================= Zstd Compression 1.5.0 Compression Level: 19 - Compression Speed MB/s > Higher Is Better c7g.4xlarge ............. 41.2 |=============================================== 16 vcpu ampere Vm run 2 . 14.0 |================ Apple M1 ................ 23.7 |=========================== Zstd Compression 1.5.0 Compression Level: 19 - Decompression Speed MB/s > Higher Is Better c7g.4xlarge ............. 3050.3 |==================================== 16 vcpu ampere Vm run 2 . 1449.1 |================= Apple M1 ................ 3864.0 |============================================= Zstd Compression 1.5.0 Compression Level: 19, Long Mode - Compression Speed MB/s > Higher Is Better c7g.4xlarge ............. 39.50 |============================================== 16 vcpu ampere Vm run 2 . 8.89 |========== Apple M1 ................ 20.40 |======================== Zstd Compression 1.5.0 Compression Level: 19, Long Mode - Decompression Speed MB/s > Higher Is Better c7g.4xlarge ............. 3240.6 |==================================== 16 vcpu ampere Vm run 2 . 1904.5 |===================== Apple M1 ................ 4063.4 |============================================= TSCP 1.81 AI Chess Performance Nodes Per Second > Higher Is Better c7g.4xlarge ............. 1370094 |============================================ 16 vcpu ampere Vm run 2 . 1040388 |================================= ACES DGEMM 1.0 Sustained Floating-Point Rate GFLOP/s > Higher Is Better c7g.4xlarge ............. 5.853864 |=========================================== 16 vcpu ampere Vm run 2 . 1.147944 |======== Coremark 1.0 CoreMark Size 666 - Iterations Per Second Iterations/Sec > Higher Is Better c7g.4xlarge ............. 405413.86 |========================================== 16 vcpu ampere Vm run 2 . 371146.66 |====================================== 7-Zip Compression 21.06 Test: Compression Rating MIPS > Higher Is Better c7g.4xlarge ............. 97824 |============================================== 16 vcpu ampere Vm run 2 . 40606 |=================== 7-Zip Compression 21.06 Test: Decompression Rating MIPS > Higher Is Better c7g.4xlarge ............. 73054 |============================================== 16 vcpu ampere Vm run 2 . 58166 |===================================== Stockfish 13 Total Time Nodes Per Second > Higher Is Better c7g.4xlarge ............. 27608891 |=========================================== 16 vcpu ampere Vm run 2 . 15970977 |========================= asmFish 2018-07-23 1024 Hash Memory, 26 Depth Nodes/second > Higher Is Better c7g.4xlarge ............. 32134123 |=========================================== 16 vcpu ampere Vm run 2 . 16217696 |====================== libavif avifenc 0.10 Encoder Speed: 0 Seconds < Lower Is Better c7g.4xlarge ............. 256.84 |============================ 16 vcpu ampere Vm run 2 . 419.32 |============================================= libavif avifenc 0.10 Encoder Speed: 2 Seconds < Lower Is Better c7g.4xlarge ............. 141.70 |============================= 16 vcpu ampere Vm run 2 . 223.60 |============================================= libavif avifenc 0.10 Encoder Speed: 6 Seconds < Lower Is Better c7g.4xlarge ............. 9.385 |================================== 16 vcpu ampere Vm run 2 . 12.555 |============================================= libavif avifenc 0.10 Encoder Speed: 6, Lossless Seconds < Lower Is Better c7g.4xlarge ............. 11.91 |==================================== 16 vcpu ampere Vm run 2 . 15.05 |============================================== libavif avifenc 0.10 Encoder Speed: 10, Lossless Seconds < Lower Is Better c7g.4xlarge ............. 5.765 |================================== 16 vcpu ampere Vm run 2 . 7.877 |============================================== Timed Apache Compilation 2.4.41 Time To Compile Seconds < Lower Is Better c7g.4xlarge ............. 26.94 |====================== 16 vcpu ampere Vm run 2 . 55.99 |============================================== Timed Gem5 Compilation 21.2 Time To Compile Seconds < Lower Is Better c7g.4xlarge ............. 391.17 |================== 16 vcpu ampere Vm run 2 . 960.52 |============================================= Timed ImageMagick Compilation 6.9.0 Time To Compile Seconds < Lower Is Better c7g.4xlarge ............. 27.90 |=== 16 vcpu ampere Vm run 2 . 76.13 |======== Apple M1 ................ 452.08 |============================================= Timed LLVM Compilation 13.0 Build System: Ninja Seconds < Lower Is Better c7g.4xlarge ............. 544.93 |================= 16 vcpu ampere Vm run 2 . 1429.67 |============================================ Timed Node.js Compilation 17.3 Time To Compile Seconds < Lower Is Better c7g.4xlarge ............. 497.58 |== 16 vcpu ampere Vm run 2 . 1386.11 |====== Apple M1 ................ 9557.97 |============================================ Timed PHP Compilation 7.4.2 Time To Compile Seconds < Lower Is Better c7g.4xlarge ............. 69.48 |=================== 16 vcpu ampere Vm run 2 . 162.61 |============================================= Build2 0.13 Time To Compile Seconds < Lower Is Better c7g.4xlarge ............. 115.02 |====================== 16 vcpu ampere Vm run 2 . 235.50 |============================================= C-Ray 1.1 Total Time - 4K, 16 Rays Per Pixel Seconds < Lower Is Better c7g.4xlarge ............. 38.52 |== 16 vcpu ampere Vm run 2 . 54.10 |== Apple M1 ................ 1003.34 |============================================ POV-Ray 3.7.0.7 Trace Time Seconds < Lower Is Better c7g.4xlarge ............. 37.86 |========================= 16 vcpu ampere Vm run 2 . 69.76 |============================================== m-queens 1.2 Time To Solve Seconds < Lower Is Better c7g.4xlarge ............. 66.82 |============================================== 16 vcpu ampere Vm run 2 . 64.40 |============================================ N-Queens 1.0 Elapsed Time Seconds < Lower Is Better c7g.4xlarge ............. 21.54 |============================================== 16 vcpu ampere Vm run 2 . 12.55 |=========================== Ngspice 34 Circuit: C2670 Seconds < Lower Is Better c7g.4xlarge ............. 198.22 |============== 16 vcpu ampere Vm run 2 . 654.19 |============================================= Ngspice 34 Circuit: C7552 Seconds < Lower Is Better c7g.4xlarge ............. 191.29 |=========== 16 vcpu ampere Vm run 2 . 796.45 |============================================= Google SynthMark 20201109 Test: VoiceMark_100 Voices > Higher Is Better c7g.4xlarge ............. 675.64 |============================================= 16 vcpu ampere Vm run 2 . 559.89 |===================================== SecureMark 1.0.4 Benchmark: SecureMark-TLS marks > Higher Is Better c7g.4xlarge ............. 183708 |============================================= 16 vcpu ampere Vm run 2 . 141878 |=================================== OpenSSL 3.0 Algorithm: SHA256 byte/s > Higher Is Better c7g.4xlarge ............. 13722045973 |======================================== 16 vcpu ampere Vm run 2 . 12753706930 |===================================== OpenSSL 3.0 Algorithm: RSA4096 sign/s > Higher Is Better c7g.4xlarge ............. 2546.4 |============================================= 16 vcpu ampere Vm run 2 . 791.0 |============== OpenSSL 3.0 Algorithm: RSA4096 verify/s > Higher Is Better c7g.4xlarge ............. 178460.4 |=========================================== 16 vcpu ampere Vm run 2 . 64694.3 |================ Liquid-DSP 2021.01.31 Threads: 16 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better c7g.4xlarge ............. 383606667 |========================================== 16 vcpu ampere Vm run 2 . 319180000 |=================================== GROMACS 2022.1 Implementation: MPI CPU - Input: water_GMX50_bare Ns Per Day > Higher Is Better c7g.4xlarge ............. 1.128 |============================================== 16 vcpu ampere Vm run 2 . 0.610 |========================= TensorFlow Lite 2022-05-18 Model: SqueezeNet Microseconds < Lower Is Better c7g.4xlarge ............. 3257.94 |=================== 16 vcpu ampere Vm run 2 . 7508.83 |============================================ TensorFlow Lite 2022-05-18 Model: Inception V4 Microseconds < Lower Is Better c7g.4xlarge ............. 41855.1 |===================== 16 vcpu ampere Vm run 2 . 87437.7 |============================================ TensorFlow Lite 2022-05-18 Model: NASNet Mobile Microseconds < Lower Is Better c7g.4xlarge ............. 11591.9 |========== 16 vcpu ampere Vm run 2 . 50384.9 |============================================ TensorFlow Lite 2022-05-18 Model: Mobilenet Float Microseconds < Lower Is Better c7g.4xlarge ............. 2156.60 |================= 16 vcpu ampere Vm run 2 . 5496.11 |============================================ TensorFlow Lite 2022-05-18 Model: Mobilenet Quant Microseconds < Lower Is Better c7g.4xlarge ............. 1502.95 |============ 16 vcpu ampere Vm run 2 . 5538.34 |============================================ TensorFlow Lite 2022-05-18 Model: Inception ResNet V2 Microseconds < Lower Is Better c7g.4xlarge ............. 40051.3 |================== 16 vcpu ampere Vm run 2 . 98426.5 |============================================ ASTC Encoder 3.2 Preset: Thorough Seconds < Lower Is Better c7g.4xlarge ............. 13.92 |================================== 16 vcpu ampere Vm run 2 . 19.07 |============================================== ASTC Encoder 3.2 Preset: Exhaustive Seconds < Lower Is Better c7g.4xlarge ............. 139.38 |================================== 16 vcpu ampere Vm run 2 . 183.50 |============================================= Stress-NG 0.14 Test: Crypto Bogo Ops/s > Higher Is Better c7g.4xlarge ............. 23181.81 |=========================================== 16 vcpu ampere Vm run 2 . 20420.09 |====================================== Stress-NG 0.14 Test: IO_uring Bogo Ops/s > Higher Is Better c7g.4xlarge ............. 843015.78 |========================================== Stress-NG 0.14 Test: CPU Cache Bogo Ops/s > Higher Is Better c7g.4xlarge ............. 64.31 |== 16 vcpu ampere Vm run 2 . 236.50 |========= Apple M1 ................ 1182.01 |============================================ Stress-NG 0.14 Test: CPU Stress Bogo Ops/s > Higher Is Better c7g.4xlarge ............. 5029.71 |============= 16 vcpu ampere Vm run 2 . 3974.48 |========== Apple M1 ................ 16739.00 |=========================================== Stress-NG 0.14 Test: Matrix Math Bogo Ops/s > Higher Is Better c7g.4xlarge ............. 80088.74 |=========================================== 16 vcpu ampere Vm run 2 . 76853.01 |========================================= Apple M1 ................ 27528.27 |=============== Stress-NG 0.14 Test: Vector Math Bogo Ops/s > Higher Is Better c7g.4xlarge ............. 55258.17 |=========================================== 16 vcpu ampere Vm run 2 . 41006.21 |================================ Apple M1 ................ 30521.81 |======================== Stress-NG 0.14 Test: Memory Copying Bogo Ops/s > Higher Is Better c7g.4xlarge ............. 6693.32 |============================================ 16 vcpu ampere Vm run 2 . 3189.31 |===================== Apple M1 ................ 4010.46 |========================== GPAW 22.1 Input: Carbon Nanotube Seconds < Lower Is Better c7g.4xlarge ............. 155.18 |======================= 16 vcpu ampere Vm run 2 . 305.72 |============================================= PyBench 2018-02-16 Total For Average Test Times Milliseconds < Lower Is Better c7g.4xlarge ............. 1185 |======================================= 16 vcpu ampere Vm run 2 . 1421 |=============================================== Apple M1 ................ 917 |============================== nginx 1.21.1 Concurrent Requests: 100 Requests Per Second > Higher Is Better c7g.4xlarge ............. 345710.87 |========================================== 16 vcpu ampere Vm run 2 . 65315.06 |======== Apple M1 ................ 70016.69 |========= nginx 1.21.1 Concurrent Requests: 200 Requests Per Second > Higher Is Better c7g.4xlarge ............. 352380.98 |========================================== 16 vcpu ampere Vm run 2 . 66077.48 |======== Apple M1 ................ 70103.78 |======== nginx 1.21.1 Concurrent Requests: 500 Requests Per Second > Higher Is Better c7g.4xlarge ............. 346613.34 |============== 16 vcpu ampere Vm run 2 . 65751.85 |=== Apple M1 ................ 1048975.67 |========================================= nginx 1.21.1 Concurrent Requests: 1000 Requests Per Second > Higher Is Better c7g.4xlarge ............. 346814.75 |============ 16 vcpu ampere Vm run 2 . 64815.24 |== Apple M1 ................ 1170852.29 |========================================= ONNX Runtime 1.11 Model: GPT-2 - Device: CPU - Executor: Standard Inferences Per Minute > Higher Is Better c7g.4xlarge ............. 7990 |=============================================== ONNX Runtime 1.11 Model: bertsquad-12 - Device: CPU - Executor: Standard Inferences Per Minute > Higher Is Better c7g.4xlarge ............. 407 |================================================ ONNX Runtime 1.11 Model: fcn-resnet101-11 - Device: CPU - Executor: Standard Inferences Per Minute > Higher Is Better c7g.4xlarge ............. 38 |================================================= ONNX Runtime 1.11 Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard Inferences Per Minute > Higher Is Better c7g.4xlarge ............. 609 |================================================ ONNX Runtime 1.11 Model: super-resolution-10 - Device: CPU - Executor: Standard Inferences Per Minute > Higher Is Better c7g.4xlarge ............. 2817 |=============================================== Apache HTTP Server 2.4.48 Concurrent Requests: 100 Requests Per Second > Higher Is Better c7g.4xlarge ............. 67231.88 |========================================= 16 vcpu ampere Vm run 2 . 17823.74 |=========== Apple M1 ................ 69723.08 |=========================================== Apache HTTP Server 2.4.48 Concurrent Requests: 200 Requests Per Second > Higher Is Better c7g.4xlarge ............. 73676.95 |=========================================== 16 vcpu ampere Vm run 2 . 20474.13 |============ Apple M1 ................ 70710.06 |========================================= Apache HTTP Server 2.4.48 Concurrent Requests: 500 Requests Per Second > Higher Is Better c7g.4xlarge ............. 73546.32 |=== 16 vcpu ampere Vm run 2 . 21329.88 |= Apple M1 ................ 1103760.65 |========================================= Apache HTTP Server 2.4.48 Concurrent Requests: 1000 Requests Per Second > Higher Is Better c7g.4xlarge ............. 72719.33 |=== 16 vcpu ampere Vm run 2 . 20049.52 |= Apple M1 ................ 1152906.15 |========================================= PHPBench 0.8.1 PHP Benchmark Suite Score > Higher Is Better c7g.4xlarge ............. 666484 |========================================= 16 vcpu ampere Vm run 2 . 491649 |============================== Apple M1 ................ 736732 |=============================================