GCE c3d-standard-60

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
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

Timed Code Compilation 3 Tests
C/C++ Compiler Tests 7 Tests
CPU Massive 12 Tests
Creator Workloads 4 Tests
Database Test Suite 3 Tests
Fortran Tests 4 Tests
HPC - High Performance Computing 10 Tests
Java Tests 2 Tests
Common Kernel Benchmarks 2 Tests
Machine Learning 2 Tests
Molecular Dynamics 3 Tests
MPI Benchmarks 4 Tests
Multi-Core 15 Tests
NVIDIA GPU Compute 3 Tests
OpenMPI Tests 11 Tests
Programmer / Developer System Benchmarks 4 Tests
Python Tests 4 Tests
Scientific Computing 4 Tests
Server 5 Tests
Server CPU Tests 7 Tests
Common Workstation Benchmarks 3 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Disable Color Branding
Prefer Vertical Bar Graphs

Additional Graphs

Show Perf Per Core/Thread Calculation Graphs Where Applicable

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
c3d-standard-60 AMD Genoa
October 03 2023
  10 Hours, 30 Minutes
t2d-standard-60 AMD Milan
October 03 2023
  13 Hours, 23 Minutes
c6g.16xlarge
October 05 2023
  9 Hours, 27 Minutes
Invert Hiding All Results Option
  11 Hours, 7 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

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 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 |========================================= 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 |======================================= 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 |========================================= 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 |=========================================== 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 |=========================================== 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 |=========================================== 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 |============================ 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 |======================= 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 |================================ 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 |====================================== 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 |========================================= 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 |============================================ 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 |============================================ 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 |========= 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 |================== 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 |=================================== 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 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 |============== 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 |============================================= 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 |===================================== 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 |=========================================== 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 |=========================== 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 |=========================================== 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 |============================= 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 |============= 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 |=========================================== 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 |=========================================