GCE c3d-standard-60 KVM testing on Ubuntu 22.04 via the Phoronix Test Suite. c3d-standard-60 AMD Genoa: Processor: AMD EPYC 9B14 (30 Cores / 60 Threads), Motherboard: Google Compute Engine c3d-standard-60, Chipset: Intel 440FX 82441FX PMC, Memory: 240GB, Disk: 215GB nvme_card-pd, Network: Google Compute Engine Virtual OS: Ubuntu 22.04, Kernel: 6.2.0-1014-gcp (x86_64), Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, System Layer: KVM t2d-standard-60 AMD Milan: Processor: AMD EPYC 7B13 (60 Cores), Motherboard: Google Compute Engine t2d-standard-60, Chipset: Intel 440FX 82441FX PMC, Memory: 240GB, Disk: 215GB PersistentDisk, Network: Red Hat Virtio device OS: Ubuntu 22.04, Kernel: 6.2.0-1014-gcp (x86_64), Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, System Layer: KVM c6g.16xlarge: Processor: ARMv8 Neoverse-N1 (64 Cores), Motherboard: Amazon EC2 c6g.16xlarge (1.0 BIOS), Chipset: Amazon Device 0200, Memory: 128GB, Disk: 215GB Amazon Elastic Block Store, Network: Amazon Elastic OS: Ubuntu 22.04, Kernel: 5.19.0-1025-aws (aarch64), Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, System Layer: amazon m7a.16xlarge: Processor: AMD EPYC 9R14 (64 Cores), Motherboard: Amazon EC2 m7a.16xlarge (1.0 BIOS), Chipset: Intel 440FX 82441FX PMC, Memory: 256GB, Disk: 215GB Amazon Elastic Block Store, Network: Amazon Elastic OS: Ubuntu 22.04, Kernel: 5.19.0-1025-aws (x86_64), Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, System Layer: amazon c7g.16xlarge: Processor: ARMv8 Neoverse-V1 (64 Cores), Motherboard: Amazon EC2 c7g.16xlarge (1.0 BIOS), Chipset: Amazon Device 0200, Memory: 128GB, Disk: 215GB Amazon Elastic Block Store, Network: Amazon Elastic OS: Ubuntu 22.04, Kernel: 5.19.0-1025-aws (aarch64), Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, System Layer: amazon c2d-standard-56: Processor: AMD EPYC 7B13 (28 Cores / 56 Threads), Motherboard: Google Compute Engine c2d-standard-56, Chipset: Intel 440FX 82441FX PMC, Memory: 224GB, Disk: 215GB PersistentDisk, Network: Red Hat Virtio device OS: Ubuntu 22.04, Kernel: 6.2.0-1014-gcp (x86_64), Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, System Layer: KVM NAS Parallel Benchmarks 3.4 Test / Class: BT.C Total Mop/s > Higher Is Better c3d-standard-60 AMD Genoa . 96257.48 |==================== t2d-standard-60 AMD Milan . 122720.61 |========================= c6g.16xlarge .............. 24229.14 |===== m7a.16xlarge .............. 193219.12 |======================================== c7g.16xlarge .............. 38934.15 |======== c2d-standard-56 ........... 94143.85 |=================== NAS Parallel Benchmarks 3.4 Test / Class: CG.C Total Mop/s > Higher Is Better c3d-standard-60 AMD Genoa . 19597.86 |=================== t2d-standard-60 AMD Milan . 16649.37 |================ c6g.16xlarge .............. 13343.35 |============= m7a.16xlarge .............. 42007.57 |========================================= c7g.16xlarge .............. 22031.27 |====================== c2d-standard-56 ........... 23089.42 |======================= NAS Parallel Benchmarks 3.4 Test / Class: EP.D Total Mop/s > Higher Is Better c3d-standard-60 AMD Genoa . 3783.60 |===================== t2d-standard-60 AMD Milan . 4935.68 |============================ c6g.16xlarge .............. 2213.76 |============ m7a.16xlarge .............. 7501.76 |========================================== c7g.16xlarge .............. 3648.43 |==================== c2d-standard-56 ........... 2579.92 |============== NAS Parallel Benchmarks 3.4 Test / Class: FT.C Total Mop/s > Higher Is Better c3d-standard-60 AMD Genoa . 39647.47 |=============== t2d-standard-60 AMD Milan . 54846.18 |===================== c6g.16xlarge .............. 21386.37 |======== m7a.16xlarge .............. 103413.02 |======================================== c7g.16xlarge .............. 39830.18 |=============== c2d-standard-56 ........... 47216.05 |================== NAS Parallel Benchmarks 3.4 Test / Class: IS.D Total Mop/s > Higher Is Better c3d-standard-60 AMD Genoa . 2422.40 |========================= t2d-standard-60 AMD Milan . 1752.62 |================== c6g.16xlarge .............. 915.80 |========= m7a.16xlarge .............. 4085.20 |========================================== c7g.16xlarge .............. 1797.76 |================== c2d-standard-56 ........... 2190.39 |======================= NAS Parallel Benchmarks 3.4 Test / Class: LU.C Total Mop/s > Higher Is Better c3d-standard-60 AMD Genoa . 73563.13 |============== t2d-standard-60 AMD Milan . 94247.77 |================== c6g.16xlarge .............. 18807.75 |==== m7a.16xlarge .............. 210544.87 |======================================== c7g.16xlarge .............. 28356.70 |===== c2d-standard-56 ........... 78848.08 |=============== NAS Parallel Benchmarks 3.4 Test / Class: MG.C Total Mop/s > Higher Is Better c3d-standard-60 AMD Genoa . 42701.83 |============== t2d-standard-60 AMD Milan . 47291.96 |================ c6g.16xlarge .............. 25661.04 |======== m7a.16xlarge .............. 121293.80 |======================================== c7g.16xlarge .............. 49799.57 |================ c2d-standard-56 ........... 54301.25 |================== NAS Parallel Benchmarks 3.4 Test / Class: SP.C Total Mop/s > Higher Is Better c3d-standard-60 AMD Genoa . 39919.71 |================ t2d-standard-60 AMD Milan . 43228.11 |================= c6g.16xlarge .............. 9716.99 |==== m7a.16xlarge .............. 102392.40 |======================================== c7g.16xlarge .............. 17223.95 |======= c2d-standard-56 ........... 48423.52 |=================== Rodinia 3.1 Test: OpenMP LavaMD Seconds < Lower Is Better c3d-standard-60 AMD Genoa . 64.86 |========================================= t2d-standard-60 AMD Milan . 50.97 |================================ c6g.16xlarge .............. 62.30 |======================================= m7a.16xlarge .............. 43.29 |=========================== c7g.16xlarge .............. 43.91 |============================ c2d-standard-56 ........... 70.16 |============================================ Rodinia 3.1 Test: OpenMP HotSpot3D Seconds < Lower Is Better c3d-standard-60 AMD Genoa . 84.17 |========================================= t2d-standard-60 AMD Milan . 88.54 |=========================================== m7a.16xlarge .............. 74.78 |==================================== c2d-standard-56 ........... 90.74 |============================================ Rodinia 3.1 Test: OpenMP Leukocyte Seconds < Lower Is Better c3d-standard-60 AMD Genoa . 45.50 |=========================================== t2d-standard-60 AMD Milan . 42.01 |======================================== m7a.16xlarge .............. 34.66 |================================= c2d-standard-56 ........... 46.74 |============================================ Rodinia 3.1 Test: OpenMP CFD Solver Seconds < Lower Is Better c3d-standard-60 AMD Genoa . 10.025 |=========================================== t2d-standard-60 AMD Milan . 7.368 |================================ c6g.16xlarge .............. 5.983 |========================== m7a.16xlarge .............. 6.480 |============================ c7g.16xlarge .............. 4.353 |=================== c2d-standard-56 ........... 9.343 |======================================== Rodinia 3.1 Test: OpenMP Streamcluster Seconds < Lower Is Better c3d-standard-60 AMD Genoa . 6.448 |==================== t2d-standard-60 AMD Milan . 6.423 |=================== c6g.16xlarge .............. 14.212 |=========================================== m7a.16xlarge .............. 5.930 |================== c7g.16xlarge .............. 11.457 |=================================== c2d-standard-56 ........... 6.658 |==================== Algebraic Multi-Grid Benchmark 1.2 Figure Of Merit > Higher Is Better c3d-standard-60 AMD Genoa . 962889833 |==================== t2d-standard-60 AMD Milan . 920427767 |=================== c6g.16xlarge .............. 1032893667 |====================== m7a.16xlarge .............. 1843444333 |======================================= c7g.16xlarge .............. 1767349000 |===================================== c2d-standard-56 ........... 981877267 |===================== libxsmm 2-1.17-3645 M N K: 32 GFLOPS/s > Higher Is Better c3d-standard-60 AMD Genoa . 255.4 |================= t2d-standard-60 AMD Milan . 289.2 |==================== c6g.16xlarge .............. 312.7 |===================== m7a.16xlarge .............. 643.4 |============================================ c7g.16xlarge .............. 494.2 |================================== c2d-standard-56 ........... 306.3 |===================== libxsmm 2-1.17-3645 M N K: 64 GFLOPS/s > Higher Is Better c3d-standard-60 AMD Genoa . 489.7 |================== t2d-standard-60 AMD Milan . 554.2 |==================== c6g.16xlarge .............. 589.5 |===================== m7a.16xlarge .............. 1201.8 |=========================================== c7g.16xlarge .............. 785.0 |============================ c2d-standard-56 ........... 581.1 |===================== Laghos 3.1 Test: Triple Point Problem Major Kernels Total Rate > Higher Is Better c3d-standard-60 AMD Genoa . 209.00 |======================================= t2d-standard-60 AMD Milan . 222.30 |========================================= c6g.16xlarge .............. 179.52 |================================= m7a.16xlarge .............. 218.86 |========================================= c7g.16xlarge .............. 231.85 |=========================================== c2d-standard-56 ........... 199.80 |===================================== Laghos 3.1 Test: Sedov Blast Wave, ube_922_hex.mesh Major Kernels Total Rate > Higher Is Better c3d-standard-60 AMD Genoa . 259.55 |=========================== t2d-standard-60 AMD Milan . 364.64 |====================================== c6g.16xlarge .............. 321.29 |================================== m7a.16xlarge .............. 409.73 |=========================================== c7g.16xlarge .............. 409.66 |=========================================== c2d-standard-56 ........... 239.48 |========================= HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128 GFLOP/s > Higher Is Better c3d-standard-60 AMD Genoa . 88.63 |====================== t2d-standard-60 AMD Milan . 109.68 |=========================== c6g.16xlarge .............. 129.17 |================================ m7a.16xlarge .............. 121.51 |============================== c7g.16xlarge .............. 175.73 |=========================================== c2d-standard-56 ........... 104.53 |========================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128 GFLOP/s > Higher Is Better c3d-standard-60 AMD Genoa . 148.58 |====================== t2d-standard-60 AMD Milan . 196.95 |============================= c6g.16xlarge .............. 202.45 |============================== m7a.16xlarge .............. 190.60 |============================ c7g.16xlarge .............. 291.97 |=========================================== c2d-standard-56 ........... 164.72 |======================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128 GFLOP/s > Higher Is Better c3d-standard-60 AMD Genoa . 57.31 |=================================== t2d-standard-60 AMD Milan . 60.03 |===================================== c6g.16xlarge .............. 32.36 |==================== m7a.16xlarge .............. 71.11 |============================================ c7g.16xlarge .............. 52.48 |================================ c2d-standard-56 ........... 61.18 |====================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128 GFLOP/s > Higher Is Better c3d-standard-60 AMD Genoa . 93.60 |=============================== t2d-standard-60 AMD Milan . 106.03 |==================================== c6g.16xlarge .............. 79.02 |=========================== m7a.16xlarge .............. 124.36 |========================================== c7g.16xlarge .............. 127.99 |=========================================== c2d-standard-56 ........... 99.65 |================================= Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 129 Cells Per Direction Seconds < Lower Is Better c3d-standard-60 AMD Genoa . 5.87157885 |===================================== t2d-standard-60 AMD Milan . 5.63057327 |==================================== c6g.16xlarge .............. 5.61811686 |==================================== m7a.16xlarge .............. 2.89602661 |================== c7g.16xlarge .............. 3.15878837 |==================== c2d-standard-56 ........... 6.14409192 |======================================= Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 193 Cells Per Direction Seconds < Lower Is Better c3d-standard-60 AMD Genoa . 28.02 |============================================ t2d-standard-60 AMD Milan . 24.57 |======================================= c6g.16xlarge .............. 25.87 |========================================= m7a.16xlarge .............. 11.59 |================== c7g.16xlarge .............. 13.79 |====================== c2d-standard-56 ........... 25.42 |======================================== OpenRadioss 2023.09.15 Model: Bumper Beam Seconds < Lower Is Better c3d-standard-60 AMD Genoa . 92.87 |========================================== t2d-standard-60 AMD Milan . 75.68 |================================== m7a.16xlarge .............. 66.27 |============================== c2d-standard-56 ........... 98.45 |============================================ OpenRadioss 2023.09.15 Model: Chrysler Neon 1M Seconds < Lower Is Better c3d-standard-60 AMD Genoa . 337.70 |======================================== t2d-standard-60 AMD Milan . 327.88 |======================================= m7a.16xlarge .............. 190.79 |======================= c2d-standard-56 ........... 363.60 |=========================================== OpenRadioss 2023.09.15 Model: Cell Phone Drop Test Seconds < Lower Is Better c3d-standard-60 AMD Genoa . 38.82 |============================================ t2d-standard-60 AMD Milan . 30.12 |================================== m7a.16xlarge .............. 26.14 |============================== c2d-standard-56 ........... 36.84 |========================================== OpenRadioss 2023.09.15 Model: Bird Strike on Windshield Seconds < Lower Is Better c3d-standard-60 AMD Genoa . 147.31 |=========================================== t2d-standard-60 AMD Milan . 123.61 |==================================== m7a.16xlarge .............. 115.96 |================================== c2d-standard-56 ........... 146.56 |=========================================== OpenRadioss 2023.09.15 Model: Rubber O-Ring Seal Installation Seconds < Lower Is Better c3d-standard-60 AMD Genoa . 89.65 |============================================ t2d-standard-60 AMD Milan . 72.06 |=================================== m7a.16xlarge .............. 59.18 |============================= c2d-standard-56 ........... 69.43 |================================== OpenRadioss 2023.09.15 Model: INIVOL and Fluid Structure Interaction Drop Container Seconds < Lower Is Better Remhos 1.0 Test: Sample Remap Example Seconds < Lower Is Better c3d-standard-60 AMD Genoa . 33.36 |============================================ t2d-standard-60 AMD Milan . 16.33 |====================== c6g.16xlarge .............. 20.82 |=========================== m7a.16xlarge .............. 13.87 |================== c7g.16xlarge .............. 14.26 |=================== c2d-standard-56 ........... 24.64 |================================ nekRS 23.0 Input: Kershaw flops/rank > Higher Is Better c3d-standard-60 AMD Genoa . 4289858333 |==================== t2d-standard-60 AMD Milan . 3681935833 |================== c6g.16xlarge .............. 1758860000 |======== m7a.16xlarge .............. 7667846667 |==================================== c7g.16xlarge .............. 3252166667 |=============== c2d-standard-56 ........... 8195293333 |======================================= nekRS 23.0 Input: TurboPipe Periodic flops/rank > Higher Is Better c3d-standard-60 AMD Genoa . 4723940000 |================================== t2d-standard-60 AMD Milan . 2730620000 |==================== c6g.16xlarge .............. 2221710000 |================ m7a.16xlarge .............. 4774796667 |================================== c7g.16xlarge .............. 3991736667 |============================= c2d-standard-56 ........... 5431083333 |======================================= LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: 20k Atoms ns/day > Higher Is Better c3d-standard-60 AMD Genoa . 19.78 |======================== t2d-standard-60 AMD Milan . 26.73 |================================ c6g.16xlarge .............. 25.06 |============================== m7a.16xlarge .............. 31.47 |====================================== c7g.16xlarge .............. 36.73 |============================================ c2d-standard-56 ........... 18.37 |====================== LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: Rhodopsin Protein ns/day > Higher Is Better c3d-standard-60 AMD Genoa . 17.42 |==================== t2d-standard-60 AMD Milan . 27.83 |================================= c6g.16xlarge .............. 26.04 |=============================== m7a.16xlarge .............. 32.79 |======================================= c7g.16xlarge .............. 37.46 |============================================ c2d-standard-56 ........... 18.03 |===================== Coremark 1.0 CoreMark Size 666 - Iterations Per Second Iterations/Sec > Higher Is Better c3d-standard-60 AMD Genoa . 1445843.52 |========================== t2d-standard-60 AMD Milan . 1730658.45 |=============================== c6g.16xlarge .............. 1259870.72 |======================= m7a.16xlarge .............. 2158639.27 |======================================= c7g.16xlarge .............. 1608877.08 |============================= c2d-standard-56 ........... 1212209.82 |====================== 7-Zip Compression 22.01 Test: Compression Rating MIPS > Higher Is Better c3d-standard-60 AMD Genoa . 271795 |=================================== t2d-standard-60 AMD Milan . 278973 |==================================== c6g.16xlarge .............. 239735 |=============================== m7a.16xlarge .............. 330633 |=========================================== c7g.16xlarge .............. 310517 |======================================== c2d-standard-56 ........... 230430 |============================== 7-Zip Compression 22.01 Test: Decompression Rating MIPS > Higher Is Better c3d-standard-60 AMD Genoa . 226211 |================================== t2d-standard-60 AMD Milan . 247255 |===================================== c6g.16xlarge .............. 234046 |=================================== m7a.16xlarge .............. 282593 |=========================================== c7g.16xlarge .............. 285523 |=========================================== c2d-standard-56 ........... 208192 |=============================== Stockfish 15 Total Time Nodes Per Second > Higher Is Better c3d-standard-60 AMD Genoa . 105894457 |=============================== t2d-standard-60 AMD Milan . 112958788 |================================= c6g.16xlarge .............. 81807706 |======================== m7a.16xlarge .............. 135419169 |======================================== c7g.16xlarge .............. 119502473 |=================================== c2d-standard-56 ........... 84017019 |========================= libavif avifenc 1.0 Encoder Speed: 0 Seconds < Lower Is Better c3d-standard-60 AMD Genoa . 78.07 |============ t2d-standard-60 AMD Milan . 78.35 |============ c6g.16xlarge .............. 270.07 |=========================================== m7a.16xlarge .............. 65.45 |========== c7g.16xlarge .............. 170.59 |=========================== c2d-standard-56 ........... 88.81 |============== libavif avifenc 1.0 Encoder Speed: 2 Seconds < Lower Is Better c3d-standard-60 AMD Genoa . 41.54 |=========== t2d-standard-60 AMD Milan . 41.99 |=========== c6g.16xlarge .............. 167.95 |=========================================== m7a.16xlarge .............. 35.81 |========= c7g.16xlarge .............. 102.08 |========================== c2d-standard-56 ........... 46.54 |============ libavif avifenc 1.0 Encoder Speed: 6 Seconds < Lower Is Better c3d-standard-60 AMD Genoa . 3.250 |================================ t2d-standard-60 AMD Milan . 3.205 |================================ c6g.16xlarge .............. 4.467 |============================================ m7a.16xlarge .............. 2.649 |========================== c7g.16xlarge .............. 3.178 |=============================== c2d-standard-56 ........... 3.802 |===================================== libavif avifenc 1.0 Encoder Speed: 6, Lossless Seconds < Lower Is Better c3d-standard-60 AMD Genoa . 6.889 |================================== t2d-standard-60 AMD Milan . 7.639 |====================================== c6g.16xlarge .............. 8.879 |============================================ m7a.16xlarge .............. 5.678 |============================ c7g.16xlarge .............. 5.914 |============================= c2d-standard-56 ........... 8.080 |======================================== Timed Gem5 Compilation 21.2 Time To Compile Seconds < Lower Is Better c3d-standard-60 AMD Genoa . 176.77 |================================== t2d-standard-60 AMD Milan . 170.93 |================================= c6g.16xlarge .............. 224.41 |=========================================== m7a.16xlarge .............. 153.80 |============================= c7g.16xlarge .............. 180.00 |================================== c2d-standard-56 ........... 192.60 |===================================== Timed Linux Kernel Compilation 6.1 Build: defconfig Seconds < Lower Is Better t2d-standard-60 AMD Milan . 33.40 |============== c6g.16xlarge .............. 102.22 |=========================================== m7a.16xlarge .............. 27.71 |============ c7g.16xlarge .............. 80.35 |================================== c2d-standard-56 ........... 41.17 |================= Timed Linux Kernel Compilation 6.1 Build: allmodconfig Seconds < Lower Is Better t2d-standard-60 AMD Milan . 333.35 |================================ c6g.16xlarge .............. 409.10 |======================================= m7a.16xlarge .............. 267.97 |========================= c7g.16xlarge .............. 316.01 |============================== c2d-standard-56 ........... 452.75 |=========================================== Timed Node.js Compilation 19.8.1 Time To Compile Seconds < Lower Is Better c3d-standard-60 AMD Genoa . 198.39 |============================== t2d-standard-60 AMD Milan . 191.71 |============================= c6g.16xlarge .............. 286.20 |=========================================== m7a.16xlarge .............. 154.44 |======================= c7g.16xlarge .............. 236.48 |==================================== c2d-standard-56 ........... 231.38 |=================================== OpenSSL 3.1 Algorithm: SHA256 byte/s > Higher Is Better c3d-standard-60 AMD Genoa . 46211821313 |============================ t2d-standard-60 AMD Milan . 50884997103 |=============================== c6g.16xlarge .............. 42288513973 |========================== m7a.16xlarge .............. 62253861197 |====================================== c7g.16xlarge .............. 54438555170 |================================= c2d-standard-56 ........... 39825794840 |======================== OpenSSL 3.1 Algorithm: SHA512 byte/s > Higher Is Better c3d-standard-60 AMD Genoa . 14702270573 |================= t2d-standard-60 AMD Milan . 22244804183 |========================== c6g.16xlarge .............. 14384917863 |================= m7a.16xlarge .............. 26481506820 |=============================== c7g.16xlarge .............. 32045616820 |====================================== c2d-standard-56 ........... 13104599007 |================ OpenSSL 3.1 Algorithm: RSA4096 sign/s > Higher Is Better c3d-standard-60 AMD Genoa . 20079.5 |=========================== t2d-standard-60 AMD Milan . 12973.0 |================= c6g.16xlarge .............. 2640.0 |==== m7a.16xlarge .............. 31583.8 |========================================== c7g.16xlarge .............. 10181.1 |============== c2d-standard-56 ........... 7181.4 |========== OpenSSL 3.1 Algorithm: RSA4096 verify/s > Higher Is Better c3d-standard-60 AMD Genoa . 493077.6 |==================== t2d-standard-60 AMD Milan . 860844.6 |=================================== c6g.16xlarge .............. 215683.2 |========= m7a.16xlarge .............. 996017.5 |========================================= c7g.16xlarge .............. 713624.4 |============================= c2d-standard-56 ........... 468650.6 |=================== OpenSSL 3.1 Algorithm: ChaCha20 byte/s > Higher Is Better c3d-standard-60 AMD Genoa . 173980949893 |===================== t2d-standard-60 AMD Milan . 180249145770 |====================== c6g.16xlarge .............. 67324778360 |======== m7a.16xlarge .............. 308308045083 |===================================== c7g.16xlarge .............. 103234608683 |============ c2d-standard-56 ........... 120825305953 |=============== OpenSSL 3.1 Algorithm: AES-128-GCM byte/s > Higher Is Better c3d-standard-60 AMD Genoa . 343095284440 |===================== t2d-standard-60 AMD Milan . 234604082610 |=============== c6g.16xlarge .............. 158788510970 |========== m7a.16xlarge .............. 592545362740 |===================================== c7g.16xlarge .............. 332345111983 |===================== c2d-standard-56 ........... 129548766687 |======== OpenSSL 3.1 Algorithm: AES-256-GCM byte/s > Higher Is Better c3d-standard-60 AMD Genoa . 293328048497 |===================== t2d-standard-60 AMD Milan . 216025967640 |=============== c6g.16xlarge .............. 129198197600 |========= m7a.16xlarge .............. 522113080527 |===================================== c7g.16xlarge .............. 283187826230 |==================== c2d-standard-56 ........... 118402595740 |======== OpenSSL 3.1 Algorithm: ChaCha20-Poly1305 byte/s > Higher Is Better c3d-standard-60 AMD Genoa . 123909304773 |===================== t2d-standard-60 AMD Milan . 119647720337 |==================== c6g.16xlarge .............. 46715126487 |======== m7a.16xlarge .............. 216773475533 |===================================== c7g.16xlarge .............. 74306515763 |============= c2d-standard-56 ........... 82221279643 |============== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 point/sec > Higher Is Better c3d-standard-60 AMD Genoa . 33268158 |================================= t2d-standard-60 AMD Milan . 33466804 |================================== m7a.16xlarge .............. 40899210 |========================================= c2d-standard-56 ........... 33395968 |================================= Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 Average Latency < Lower Is Better c3d-standard-60 AMD Genoa . 418.59 |=========================================== t2d-standard-60 AMD Milan . 415.08 |=========================================== m7a.16xlarge .............. 340.11 |=================================== c2d-standard-56 ........... 408.13 |========================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 point/sec > Higher Is Better c3d-standard-60 AMD Genoa . 34762565 |================================ t2d-standard-60 AMD Milan . 34925899 |================================ m7a.16xlarge .............. 44502333 |========================================= c2d-standard-56 ........... 35460713 |================================= Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 Average Latency < Lower Is Better c3d-standard-60 AMD Genoa . 623.89 |========================================== t2d-standard-60 AMD Milan . 633.58 |=========================================== m7a.16xlarge .............. 521.98 |=================================== c2d-standard-56 ........... 629.00 |=========================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 point/sec > Higher Is Better c3d-standard-60 AMD Genoa . 34332237 |================================= t2d-standard-60 AMD Milan . 34123810 |================================= m7a.16xlarge .............. 42643903 |========================================= c2d-standard-56 ........... 34625899 |================================= Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 Average Latency < Lower Is Better c3d-standard-60 AMD Genoa . 447.68 |=========================================== t2d-standard-60 AMD Milan . 433.96 |========================================== m7a.16xlarge .............. 355.13 |================================== c2d-standard-56 ........... 414.40 |======================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 point/sec > Higher Is Better c3d-standard-60 AMD Genoa . 35359884 |================================ t2d-standard-60 AMD Milan . 35068557 |================================ m7a.16xlarge .............. 44699315 |========================================= c2d-standard-56 ........... 35377376 |================================ Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 Average Latency < Lower Is Better c3d-standard-60 AMD Genoa . 682.12 |========================================= t2d-standard-60 AMD Milan . 709.46 |=========================================== m7a.16xlarge .............. 598.49 |==================================== c2d-standard-56 ........... 679.86 |========================================= GROMACS 2023 Implementation: MPI CPU - Input: water_GMX50_bare Ns Per Day > Higher Is Better c3d-standard-60 AMD Genoa . 4.391 |========================= t2d-standard-60 AMD Milan . 5.289 |============================== c6g.16xlarge .............. 2.766 |================ m7a.16xlarge .............. 7.655 |============================================ c7g.16xlarge .............. 4.194 |======================== c2d-standard-56 ........... 3.951 |======================= PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Only TPS > Higher Is Better t2d-standard-60 AMD Milan . 2003784 |============================= c6g.16xlarge .............. 1043267 |=============== m7a.16xlarge .............. 2923009 |========================================== c7g.16xlarge .............. 1314317 |=================== c2d-standard-56 ........... 1509987 |====================== PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only TPS > Higher Is Better t2d-standard-60 AMD Milan . 2008186 |============================= c6g.16xlarge .............. 975031 |============== m7a.16xlarge .............. 2880940 |========================================== c7g.16xlarge .............. 1298527 |=================== c2d-standard-56 ........... 1494445 |====================== PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Write TPS > Higher Is Better t2d-standard-60 AMD Milan . 5682 |============================================= c6g.16xlarge .............. 4784 |====================================== m7a.16xlarge .............. 5312 |========================================== c7g.16xlarge .............. 5348 |========================================== c2d-standard-56 ........... 5702 |============================================= PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write TPS > Higher Is Better t2d-standard-60 AMD Milan . 5793 |============================================= c6g.16xlarge .............. 4776 |===================================== m7a.16xlarge .............. 5300 |========================================= c7g.16xlarge .............. 5342 |========================================= c2d-standard-56 ........... 5820 |============================================= TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: ResNet-50 images/sec > Higher Is Better c3d-standard-60 AMD Genoa . 50.99 |================================ t2d-standard-60 AMD Milan . 18.29 |============ m7a.16xlarge .............. 69.55 |============================================ c2d-standard-56 ........... 20.00 |============= TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: ResNet-50 images/sec > Higher Is Better c3d-standard-60 AMD Genoa . 62.74 |================================ t2d-standard-60 AMD Milan . 20.36 |========== m7a.16xlarge .............. 87.19 |============================================ c2d-standard-56 ........... 21.48 |=========== TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: ResNet-50 images/sec > Higher Is Better c3d-standard-60 AMD Genoa . 69.68 |============================== t2d-standard-60 AMD Milan . 20.90 |========= m7a.16xlarge .............. 100.15 |=========================================== c2d-standard-56 ........... 21.82 |========= Blender 3.6 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better t2d-standard-60 AMD Milan . 34.27 |=============================== m7a.16xlarge .............. 27.74 |========================= c2d-standard-56 ........... 49.01 |============================================ Blender 3.6 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better t2d-standard-60 AMD Milan . 89.35 |=============================== m7a.16xlarge .............. 71.51 |======================== c2d-standard-56 ........... 125.73 |=========================================== Blender 3.6 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better t2d-standard-60 AMD Milan . 45.22 |================================== m7a.16xlarge .............. 37.12 |============================ c2d-standard-56 ........... 59.22 |============================================ Blender 3.6 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better t2d-standard-60 AMD Milan . 351.58 |================================ m7a.16xlarge .............. 276.23 |========================= c2d-standard-56 ........... 468.20 |=========================================== Blender 3.6 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better t2d-standard-60 AMD Milan . 112.64 |================================ m7a.16xlarge .............. 91.88 |========================== c2d-standard-56 ........... 150.06 |=========================================== OpenVINO 2023.1 Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better c3d-standard-60 AMD Genoa . 18.39 |========================== t2d-standard-60 AMD Milan . 10.73 |=============== c6g.16xlarge .............. 0.10 | m7a.16xlarge .............. 31.72 |============================================ c7g.16xlarge .............. 0.18 | c2d-standard-56 ........... 7.25 |========== OpenVINO 2023.1 Model: Face Detection FP16 - Device: CPU ms < Lower Is Better c3d-standard-60 AMD Genoa . 648.81 |=== t2d-standard-60 AMD Milan . 1393.56 |====== c6g.16xlarge .............. 9996.56 |========================================== m7a.16xlarge .............. 503.38 |== c7g.16xlarge .............. 5639.78 |======================== c2d-standard-56 ........... 1914.27 |======== OpenVINO 2023.1 Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better c3d-standard-60 AMD Genoa . 142.75 |====================== t2d-standard-60 AMD Milan . 73.74 |=========== c6g.16xlarge .............. 1.06 | m7a.16xlarge .............. 284.42 |=========================================== c7g.16xlarge .............. 1.81 | c2d-standard-56 ........... 82.47 |============ OpenVINO 2023.1 Model: Person Detection FP16 - Device: CPU ms < Lower Is Better c3d-standard-60 AMD Genoa . 83.99 |==== t2d-standard-60 AMD Milan . 208.47 |========= c6g.16xlarge .............. 947.59 |=========================================== m7a.16xlarge .............. 56.21 |=== c7g.16xlarge .............. 554.28 |========================= c2d-standard-56 ........... 169.57 |======== OpenVINO 2023.1 Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better c3d-standard-60 AMD Genoa . 142.90 |====================== t2d-standard-60 AMD Milan . 78.96 |============ c6g.16xlarge .............. 1.06 | m7a.16xlarge .............. 283.40 |=========================================== c7g.16xlarge .............. 1.81 | c2d-standard-56 ........... 82.47 |============= OpenVINO 2023.1 Model: Person Detection FP32 - Device: CPU ms < Lower Is Better c3d-standard-60 AMD Genoa . 83.91 |==== t2d-standard-60 AMD Milan . 193.45 |========= c6g.16xlarge .............. 947.86 |=========================================== m7a.16xlarge .............. 56.41 |=== c7g.16xlarge .............. 553.52 |========================= c2d-standard-56 ........... 169.62 |======== OpenVINO 2023.1 Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better c3d-standard-60 AMD Genoa . 1389.69 |======================== t2d-standard-60 AMD Milan . 368.39 |====== c6g.16xlarge .............. 6.53 | m7a.16xlarge .............. 2417.34 |========================================== c7g.16xlarge .............. 11.19 | c2d-standard-56 ........... 701.00 |============ OpenVINO 2023.1 Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better c3d-standard-60 AMD Genoa . 8.62 |== t2d-standard-60 AMD Milan . 40.67 |=========== c6g.16xlarge .............. 153.12 |=========================================== m7a.16xlarge .............. 6.60 |== c7g.16xlarge .............. 89.36 |========================= c2d-standard-56 ........... 19.94 |====== OpenVINO 2023.1 Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better c3d-standard-60 AMD Genoa . 35.19 |========================= t2d-standard-60 AMD Milan . 26.28 |=================== c6g.16xlarge .............. 0.04 | m7a.16xlarge .............. 61.19 |============================================ c7g.16xlarge .............. 0.08 | c2d-standard-56 ........... 16.03 |============ OpenVINO 2023.1 Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better c3d-standard-60 AMD Genoa . 340.29 |= t2d-standard-60 AMD Milan . 568.77 |= c6g.16xlarge .............. 22391.86 |========================================= m7a.16xlarge .............. 261.11 | c7g.16xlarge .............. 12852.08 |======================== c2d-standard-56 ........... 868.35 |== OpenVINO 2023.1 Model: Face Detection Retail FP16 - Device: CPU FPS > Higher Is Better c3d-standard-60 AMD Genoa . 4166.39 |======================== t2d-standard-60 AMD Milan . 1285.47 |======= c6g.16xlarge .............. 20.79 | m7a.16xlarge .............. 7222.10 |========================================== c7g.16xlarge .............. 33.23 | c2d-standard-56 ........... 2215.74 |============= OpenVINO 2023.1 Model: Face Detection Retail FP16 - Device: CPU ms < Lower Is Better c3d-standard-60 AMD Genoa . 2.87 |=== t2d-standard-60 AMD Milan . 11.65 |=========== c6g.16xlarge .............. 48.08 |============================================ m7a.16xlarge .............. 2.21 |== c7g.16xlarge .............. 30.08 |============================ c2d-standard-56 ........... 6.30 |====== OpenVINO 2023.1 Model: Road Segmentation ADAS FP16 - Device: CPU FPS > Higher Is Better c3d-standard-60 AMD Genoa . 576.94 |======================= t2d-standard-60 AMD Milan . 225.48 |========= c6g.16xlarge .............. 2.61 | m7a.16xlarge .............. 1049.66 |========================================== c7g.16xlarge .............. 4.51 | c2d-standard-56 ........... 322.27 |============= OpenVINO 2023.1 Model: Road Segmentation ADAS FP16 - Device: CPU ms < Lower Is Better c3d-standard-60 AMD Genoa . 20.77 |== t2d-standard-60 AMD Milan . 66.46 |======= c6g.16xlarge .............. 382.47 |=========================================== m7a.16xlarge .............. 15.22 |== c7g.16xlarge .............. 221.50 |========================= c2d-standard-56 ........... 43.39 |===== OpenVINO 2023.1 Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better c3d-standard-60 AMD Genoa . 2043.05 |======================= t2d-standard-60 AMD Milan . 1512.57 |================= c6g.16xlarge .............. 0.14 | m7a.16xlarge .............. 3666.89 |========================================== c7g.16xlarge .............. 0.25 | c2d-standard-56 ........... 1089.83 |============ OpenVINO 2023.1 Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better c3d-standard-60 AMD Genoa . 5.86 | t2d-standard-60 AMD Milan . 9.90 | c6g.16xlarge .............. 6990.10 |========================================== m7a.16xlarge .............. 4.35 | c7g.16xlarge .............. 3957.74 |======================== c2d-standard-56 ........... 12.83 | OpenVINO 2023.1 Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better c3d-standard-60 AMD Genoa . 1875.28 |========================= t2d-standard-60 AMD Milan . 1014.70 |============== c6g.16xlarge .............. 8.39 | m7a.16xlarge .............. 3132.48 |========================================== c7g.16xlarge .............. 14.31 | c2d-standard-56 ........... 689.56 |========= OpenVINO 2023.1 Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better c3d-standard-60 AMD Genoa . 15.98 |====== t2d-standard-60 AMD Milan . 14.76 |===== c6g.16xlarge .............. 119.17 |=========================================== m7a.16xlarge .............. 10.19 |==== c7g.16xlarge .............. 69.89 |========================= c2d-standard-56 ........... 20.28 |======= OpenVINO 2023.1 Model: Face Detection Retail FP16-INT8 - Device: CPU FPS > Higher Is Better c3d-standard-60 AMD Genoa . 6605.12 |========================== t2d-standard-60 AMD Milan . 4239.52 |================= c6g.16xlarge .............. 0.46 | m7a.16xlarge .............. 10382.22 |========================================= c7g.16xlarge .............. 0.80 | c2d-standard-56 ........... 3195.58 |============= OpenVINO 2023.1 Model: Face Detection Retail FP16-INT8 - Device: CPU ms < Lower Is Better c3d-standard-60 AMD Genoa . 4.53 | t2d-standard-60 AMD Milan . 3.52 | c6g.16xlarge .............. 2186.81 |========================================== m7a.16xlarge .............. 3.07 | c7g.16xlarge .............. 1255.02 |======================== c2d-standard-56 ........... 4.36 | OpenVINO 2023.1 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU FPS > Higher Is Better c3d-standard-60 AMD Genoa . 645.74 |====================== t2d-standard-60 AMD Milan . 565.34 |=================== c6g.16xlarge .............. 0.15 | m7a.16xlarge .............. 1222.99 |========================================== c7g.16xlarge .............. 0.26 | c2d-standard-56 ........... 466.41 |================ OpenVINO 2023.1 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU ms < Lower Is Better c3d-standard-60 AMD Genoa . 18.56 | t2d-standard-60 AMD Milan . 26.50 | c6g.16xlarge .............. 6773.31 |========================================== m7a.16xlarge .............. 13.07 | c7g.16xlarge .............. 3871.33 |======================== c2d-standard-56 ........... 29.99 | OpenVINO 2023.1 Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better c3d-standard-60 AMD Genoa . 185.29 |========================= t2d-standard-60 AMD Milan . 96.58 |============= c6g.16xlarge .............. 1.36 | m7a.16xlarge .............. 315.14 |=========================================== c7g.16xlarge .............. 2.32 | c2d-standard-56 ........... 93.23 |============= OpenVINO 2023.1 Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better c3d-standard-60 AMD Genoa . 64.70 |==== t2d-standard-60 AMD Milan . 155.14 |========= c6g.16xlarge .............. 735.58 |=========================================== m7a.16xlarge .............. 50.72 |=== c7g.16xlarge .............. 431.90 |========================= c2d-standard-56 ........... 149.97 |========= OpenVINO 2023.1 Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better c3d-standard-60 AMD Genoa . 3650.57 |========================= t2d-standard-60 AMD Milan . 2646.58 |================== c6g.16xlarge .............. 5.50 | m7a.16xlarge .............. 6177.94 |========================================== c7g.16xlarge .............. 9.09 | c2d-standard-56 ........... 1581.23 |=========== OpenVINO 2023.1 Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better c3d-standard-60 AMD Genoa . 8.20 |== t2d-standard-60 AMD Milan . 11.32 |=== c6g.16xlarge .............. 181.94 |=========================================== m7a.16xlarge .............. 5.16 |= c7g.16xlarge .............. 109.99 |========================== c2d-standard-56 ........... 17.69 |==== OpenVINO 2023.1 Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better c3d-standard-60 AMD Genoa . 1764.21 |======================== t2d-standard-60 AMD Milan . 633.76 |======== c6g.16xlarge .............. 7.36 | m7a.16xlarge .............. 3146.04 |========================================== c7g.16xlarge .............. 10.15 | c2d-standard-56 ........... 1022.81 |============== OpenVINO 2023.1 Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better c3d-standard-60 AMD Genoa . 6.79 |== t2d-standard-60 AMD Milan . 23.64 |======= c6g.16xlarge .............. 135.87 |=========================================== m7a.16xlarge .............. 5.07 |== c7g.16xlarge .............. 98.57 |=============================== c2d-standard-56 ........... 13.66 |==== OpenVINO 2023.1 Model: Handwritten English Recognition FP16 - Device: CPU FPS > Higher Is Better c3d-standard-60 AMD Genoa . 964.46 |============================= t2d-standard-60 AMD Milan . 370.03 |=========== c6g.16xlarge .............. 2.53 | m7a.16xlarge .............. 1419.11 |========================================== c7g.16xlarge .............. 2.53 | c2d-standard-56 ........... 280.26 |======== OpenVINO 2023.1 Model: Handwritten English Recognition FP16 - Device: CPU ms < Lower Is Better c3d-standard-60 AMD Genoa . 31.08 |=== t2d-standard-60 AMD Milan . 81.00 |========= c6g.16xlarge .............. 394.94 |=========================================== m7a.16xlarge .............. 22.53 |== c7g.16xlarge .............. 395.91 |=========================================== c2d-standard-56 ........... 99.81 |=========== OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better c3d-standard-60 AMD Genoa . 43607.04 |====================== t2d-standard-60 AMD Milan . 29668.12 |=============== c6g.16xlarge .............. 178.82 | m7a.16xlarge .............. 81996.81 |========================================= c7g.16xlarge .............. 258.59 | c2d-standard-56 ........... 21951.03 |=========== OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better c3d-standard-60 AMD Genoa . 0.52 |==== t2d-standard-60 AMD Milan . 0.99 |======== c6g.16xlarge .............. 5.58 |============================================= m7a.16xlarge .............. 0.38 |=== c7g.16xlarge .............. 3.86 |=============================== c2d-standard-56 ........... 1.25 |========== OpenVINO 2023.1 Model: Handwritten English Recognition FP16-INT8 - Device: CPU FPS > Higher Is Better c3d-standard-60 AMD Genoa . 761.14 |============================ t2d-standard-60 AMD Milan . 390.72 |============== c6g.16xlarge .............. 2.36 | m7a.16xlarge .............. 1158.43 |========================================== c7g.16xlarge .............. 2.44 | c2d-standard-56 ........... 301.60 |=========== OpenVINO 2023.1 Model: Handwritten English Recognition FP16-INT8 - Device: CPU ms < Lower Is Better c3d-standard-60 AMD Genoa . 39.38 |==== t2d-standard-60 AMD Milan . 76.72 |======== c6g.16xlarge .............. 423.95 |=========================================== m7a.16xlarge .............. 27.60 |=== c7g.16xlarge .............. 410.00 |========================================== c2d-standard-56 ........... 92.77 |========= OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better c3d-standard-60 AMD Genoa . 54971.26 |======================== t2d-standard-60 AMD Milan . 44049.15 |==================== c6g.16xlarge .............. 136.16 | m7a.16xlarge .............. 92100.80 |========================================= c7g.16xlarge .............. 180.79 | c2d-standard-56 ........... 35877.14 |================ OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better c3d-standard-60 AMD Genoa . 0.40 |== t2d-standard-60 AMD Milan . 0.61 |==== c6g.16xlarge .............. 7.33 |============================================= m7a.16xlarge .............. 0.27 |== c7g.16xlarge .............. 5.52 |================================== c2d-standard-56 ........... 0.60 |==== Apache Cassandra 4.1.3 Test: Writes Op/s > Higher Is Better c3d-standard-60 AMD Genoa . 228640 |=============================== t2d-standard-60 AMD Milan . 187169 |========================= c6g.16xlarge .............. 217355 |============================== m7a.16xlarge .............. 278585 |====================================== c7g.16xlarge .............. 316573 |=========================================== c2d-standard-56 ........... 178227 |======================== nginx 1.23.2 Connections: 500 Requests Per Second > Higher Is Better c3d-standard-60 AMD Genoa . 187350.44 |============================= t2d-standard-60 AMD Milan . 162957.75 |========================== c6g.16xlarge .............. 162553.85 |========================== m7a.16xlarge .............. 233014.72 |===================================== c7g.16xlarge .............. 254864.93 |======================================== c2d-standard-56 ........... 160196.24 |========================= nginx 1.23.2 Connections: 1000 Requests Per Second > Higher Is Better c3d-standard-60 AMD Genoa . 180537.84 |============================ t2d-standard-60 AMD Milan . 155609.04 |======================== c6g.16xlarge .............. 158700.36 |========================= m7a.16xlarge .............. 224859.09 |=================================== c7g.16xlarge .............. 255540.03 |======================================== c2d-standard-56 ........... 161127.09 |========================= BRL-CAD 7.36 VGR Performance Metric VGR Performance Metric > Higher Is Better c3d-standard-60 AMD Genoa . 510819 |============================ t2d-standard-60 AMD Milan . 629363 |================================== m7a.16xlarge .............. 788704 |=========================================== c2d-standard-56 ........... 410738 |====================== PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency ms < Lower Is Better t2d-standard-60 AMD Milan . 0.399 |======================= c6g.16xlarge .............. 0.767 |============================================ m7a.16xlarge .............. 0.274 |================ c7g.16xlarge .............. 0.609 |=================================== c2d-standard-56 ........... 0.530 |============================== PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency ms < Lower Is Better t2d-standard-60 AMD Milan . 0.498 |===================== c6g.16xlarge .............. 1.026 |============================================ m7a.16xlarge .............. 0.347 |=============== c7g.16xlarge .............. 0.770 |================================= c2d-standard-56 ........... 0.669 |============================= PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency ms < Lower Is Better t2d-standard-60 AMD Milan . 140.92 |==================================== c6g.16xlarge .............. 168.19 |=========================================== m7a.16xlarge .............. 150.60 |======================================= c7g.16xlarge .............. 149.60 |====================================== c2d-standard-56 ........... 140.41 |==================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency ms < Lower Is Better t2d-standard-60 AMD Milan . 172.72 |=================================== c6g.16xlarge .............. 210.61 |=========================================== m7a.16xlarge .............. 188.68 |======================================= c7g.16xlarge .............. 187.19 |====================================== c2d-standard-56 ........... 171.95 |===================================