Google Cloud c3 Sapphire Rapids
Benchmarks by Michael Larabel for a future article.
HTML result view exported from: https://openbenchmarking.org/result/2303218-PTS-2303217N47&grr.
nekRS
Input: TurboPipe Periodic
OpenRadioss
Model: Bird Strike on Windshield
OpenCV
Test: Image Processing
OpenCV
Test: Stitching
CockroachDB
Workload: MoVR - Concurrency: 128
TensorFlow
Device: CPU - Batch Size: 64 - Model: ResNet-50
OpenVKL
Benchmark: vklBenchmark ISPC
VVenC
Video Input: Bosphorus 4K - Video Preset: Fast
SPECFEM3D
Model: Layered Halfspace
OpenRadioss
Model: Rubber O-Ring Seal Installation
LeelaChessZero
Backend: Eigen
LeelaChessZero
Backend: BLAS
SPECFEM3D
Model: Water-layered Halfspace
MariaDB
Clients: 4096
Blender
Blend File: BMW27 - Compute: CPU-Only
MariaDB
Clients: 2048
OpenRadioss
Model: Bumper Beam
Intel Open Image Denoise
Run: RTLightmap.hdr.4096x4096
Timed Linux Kernel Compilation
Build: defconfig
TensorFlow
Device: CPU - Batch Size: 32 - Model: ResNet-50
BRL-CAD
VGR Performance Metric
GROMACS
Implementation: MPI CPU - Input: water_GMX50_bare
OpenRadioss
Model: Cell Phone Drop Test
OpenCV
Test: Graph API
SPECFEM3D
Model: Homogeneous Halfspace
7-Zip Compression
Test: Decompression Rating
7-Zip Compression
Test: Compression Rating
OpenSSL
Algorithm: SHA256
OpenSSL
Algorithm: ChaCha20-Poly1305
OpenSSL
Algorithm: AES-256-GCM
OpenSSL
Algorithm: AES-128-GCM
OpenSSL
Algorithm: ChaCha20
OpenSSL
Algorithm: SHA512
VVenC
Video Input: Bosphorus 4K - Video Preset: Faster
NAMD
ATPase Simulation - 327,506 Atoms
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Execution Time
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Mesh Time
SPECFEM3D
Model: Tomographic Model
PostgreSQL
Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 800 - Mode: Read Only
PostgreSQL
Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 1000 - Mode: Read Only
SPECFEM3D
Model: Mount St. Helens
TensorFlow
Device: CPU - Batch Size: 16 - Model: ResNet-50
Intel Open Image Denoise
Run: RT.hdr_alb_nrm.3840x2160
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
Timed FFmpeg Compilation
Time To Compile
VVenC
Video Input: Bosphorus 1080p - Video Preset: Fast
Embree
Binary: Pathtracer ISPC - Model: Crown
CockroachDB
Workload: KV, 50% Reads - Concurrency: 128
CockroachDB
Workload: KV, 95% Reads - Concurrency: 128
miniBUDE
Implementation: OpenMP - Input Deck: BM1
miniBUDE
Implementation: OpenMP - Input Deck: BM1
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
oneDNN
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
nginx
Connections: 1000
nginx
Connections: 4000
nginx
Connections: 100
nginx
Connections: 500
nginx
Connections: 200
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
OpenCV
Test: Core
uvg266
Video Input: Bosphorus 4K - Video Preset: Very Fast
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
uvg266
Video Input: Bosphorus 4K - Video Preset: Super Fast
Zstd Compression
Compression Level: 19 - Decompression Speed
Zstd Compression
Compression Level: 19 - Compression Speed
Memcached
Set To Get Ratio: 1:10
Memcached
Set To Get Ratio: 1:100
uvg266
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
OpenCV
Test: Object Detection
Zstd Compression
Compression Level: 19, Long Mode - Decompression Speed
Zstd Compression
Compression Level: 19, Long Mode - Compression Speed
John The Ripper
Test: MD5
John The Ripper
Test: HMAC-SHA512
OpenSSL
Algorithm: RSA4096
OpenSSL
Algorithm: RSA4096
Neural Magic DeepSparse
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
VVenC
Video Input: Bosphorus 1080p - Video Preset: Faster
Neural Magic DeepSparse
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
Google Draco
Model: Lion
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
Xcompact3d Incompact3d
Input: input.i3d 129 Cells Per Direction
OpenCV
Test: Video
John The Ripper
Test: WPA PSK
John The Ripper
Test: bcrypt
John The Ripper
Test: Blowfish
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
uvg266
Video Input: Bosphorus 1080p - Video Preset: Very Fast
uvg266
Video Input: Bosphorus 1080p - Video Preset: Super Fast
oneDNN
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
uvg266
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
Google Draco
Model: Church Facade
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
Phoronix Test Suite v10.8.5