amazon testing on Ubuntu 22.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2310055-NE-2310039NE76
GCE c3d-standard-60
amazon 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
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 |========
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 |============================
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 |===================
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 |================
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 |================
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 |========
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 |======================
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 |=========
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 |==========================================
Rodinia 3.1
Test: OpenMP HotSpot3D
Seconds < Lower Is Better
c3d-standard-60 AMD Genoa . 84.17 |==========================================
t2d-standard-60 AMD Milan . 88.54 |============================================
Rodinia 3.1
Test: OpenMP Leukocyte
Seconds < Lower Is Better
c3d-standard-60 AMD Genoa . 45.50 |============================================
t2d-standard-60 AMD Milan . 42.01 |=========================================
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 |==========================
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 |===========================================
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 |=======================================
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 |============================================
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 |============================================
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 |===================================
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 |======================================
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 |===========================================
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 |===========================================
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 |========================
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 |================================
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 |=====================================
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 |=========================================
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 |====================================
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 |==========================================
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 |==================================
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 |====================================
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 |===================================
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 |===========================
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 |================
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 |==================
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 |=========================================
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 |=========================================
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 |============================
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 |=====================================
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 |=========================================
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 |=============================
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 |===========================================
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 |===========================================
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 |============================================
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 |============================================
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 |===========================================
Timed Linux Kernel Compilation 6.1
Build: defconfig
Seconds < Lower Is Better
t2d-standard-60 AMD Milan . 33.40 |==============
c6g.16xlarge .............. 102.22 |===========================================
Timed Linux Kernel Compilation 6.1
Build: allmodconfig
Seconds < Lower Is Better
t2d-standard-60 AMD Milan . 333.35 |===================================
c6g.16xlarge .............. 409.10 |===========================================
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 |===========================================
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 |================================
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 |=========================
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 |======
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 |==========
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 |==============
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 |=================
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 |================
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 |==============
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 |=========================================
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 |===========================================
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 |=========================================
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 |===========================================
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 |=========================================
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 |==========================================
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 |=========================================
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 |===========================================
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 |=======================
PostgreSQL 16
Scaling Factor: 100 - Clients: 800 - Mode: Read Only
TPS > Higher Is Better
t2d-standard-60 AMD Milan . 2003784 |==========================================
c6g.16xlarge .............. 1043267 |======================
PostgreSQL 16
Scaling Factor: 100 - Clients: 1000 - Mode: Read Only
TPS > Higher Is Better
t2d-standard-60 AMD Milan . 2008186 |==========================================
c6g.16xlarge .............. 975031 |====================
PostgreSQL 16
Scaling Factor: 100 - Clients: 800 - Mode: Read Write
TPS > Higher Is Better
t2d-standard-60 AMD Milan . 5682 |=============================================
c6g.16xlarge .............. 4784 |======================================
PostgreSQL 16
Scaling Factor: 100 - Clients: 1000 - Mode: Read Write
TPS > Higher Is Better
t2d-standard-60 AMD Milan . 5793 |=============================================
c6g.16xlarge .............. 4776 |=====================================
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 |================
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 |==============
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 |=============
Blender 3.6
Blend File: BMW27 - Compute: CPU-Only
Seconds < Lower Is Better
t2d-standard-60 AMD Milan . 34.27 |============================================
Blender 3.6
Blend File: Classroom - Compute: CPU-Only
Seconds < Lower Is Better
t2d-standard-60 AMD Milan . 89.35 |============================================
Blender 3.6
Blend File: Fishy Cat - Compute: CPU-Only
Seconds < Lower Is Better
t2d-standard-60 AMD Milan . 45.22 |============================================
Blender 3.6
Blend File: Barbershop - Compute: CPU-Only
Seconds < Lower Is Better
t2d-standard-60 AMD Milan . 351.58 |===========================================
Blender 3.6
Blend File: Pabellon Barcelona - Compute: CPU-Only
Seconds < Lower Is Better
t2d-standard-60 AMD Milan . 112.64 |===========================================
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 |
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 |==========================================
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 |
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 |===========================================
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 |
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 |===========================================
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 |
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 |===========================================
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 |
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 |=========================================
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 |
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 |============================================
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 |
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 |===========================================
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 |
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 |==========================================
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 |
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 |===========================================
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 |
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 |==========================================
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 |
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 |==========================================
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 |
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 |===========================================
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 |
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 |===========================================
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 |
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 |===========================================
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 |
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 |===========================================
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 |
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 |=============================================
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 |
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 |===========================================
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 |
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 |=============================================
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 |=========================================
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 |===================================
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 |===================================
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 |===========================================
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 |============================================
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 |============================================
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 |===========================================
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 |===========================================