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2 x Intel Xeon Gold 5220R testing with a TYAN S7106 (V2.01.B40 BIOS) and ASPEED on Ubuntu 20.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2304029-NE-EEE72972408&sro&grr.
TensorFlow
Device: CPU - Batch Size: 512 - Model: ResNet-50
TensorFlow
Device: CPU - Batch Size: 256 - Model: ResNet-50
Blender
Blend File: Barbershop - Compute: CPU-Only
TensorFlow
Device: CPU - Batch Size: 512 - Model: GoogLeNet
ClickHouse
100M Rows Hits Dataset, Third Run
ClickHouse
100M Rows Hits Dataset, Second Run
ClickHouse
100M Rows Hits Dataset, First Run / Cold Cache
Timed LLVM Compilation
Build System: Unix Makefiles
FFmpeg
Encoder: libx265 - Scenario: Platform
FFmpeg
Encoder: libx265 - Scenario: Platform
FFmpeg
Encoder: libx265 - Scenario: Video On Demand
FFmpeg
Encoder: libx265 - Scenario: Video On Demand
Timed LLVM Compilation
Build System: Ninja
FFmpeg
Encoder: libx264 - Scenario: Upload
FFmpeg
Encoder: libx264 - Scenario: Upload
TensorFlow
Device: CPU - Batch Size: 64 - Model: ResNet-50
FFmpeg
Encoder: libx265 - Scenario: Upload
FFmpeg
Encoder: libx265 - Scenario: Upload
Timed Node.js Compilation
Time To Compile
RocksDB
Test: Sequential Fill
TensorFlow
Device: CPU - Batch Size: 256 - Model: GoogLeNet
TensorFlow
Device: CPU - Batch Size: 512 - Model: AlexNet
Timed Godot Game Engine Compilation
Time To Compile
FFmpeg
Encoder: libx264 - Scenario: Video On Demand
FFmpeg
Encoder: libx264 - Scenario: Video On Demand
FFmpeg
Encoder: libx264 - Scenario: Platform
FFmpeg
Encoder: libx264 - Scenario: Platform
TensorFlow
Device: CPU - Batch Size: 32 - Model: ResNet-50
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
OpenSSL
Algorithm: ChaCha20-Poly1305
OpenSSL
Algorithm: AES-256-GCM
OpenSSL
Algorithm: AES-128-GCM
OpenSSL
Algorithm: ChaCha20
OpenSSL
Algorithm: SHA512
OpenSSL
Algorithm: SHA256
VVenC
Video Input: Bosphorus 4K - Video Preset: Fast
Blender
Blend File: Classroom - Compute: CPU-Only
FFmpeg
Encoder: libx265 - Scenario: Live
FFmpeg
Encoder: libx265 - Scenario: Live
PostgreSQL
Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 50 - Mode: Read Only
PostgreSQL
Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 50 - Mode: Read Write
TensorFlow
Device: CPU - Batch Size: 256 - Model: AlexNet
PostgreSQL
Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency
PostgreSQL
Scaling Factor: 1 - Clients: 50 - Mode: Read Write
PostgreSQL
Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency
PostgreSQL
Scaling Factor: 1 - Clients: 50 - Mode: Read Only
TensorFlow
Device: CPU - Batch Size: 16 - Model: ResNet-50
VVenC
Video Input: Bosphorus 4K - Video Preset: Faster
Build2
Time To Compile
TensorFlow
Device: CPU - Batch Size: 64 - Model: GoogLeNet
nginx
Connections: 1000
nginx
Connections: 500
nginx
Connections: 200
nginx
Connections: 100
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
oneDNN
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
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
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
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
uvg266
Video Input: Bosphorus 4K - Video Preset: Slow
Blender
Blend File: Fishy Cat - Compute: CPU-Only
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 4K
RocksDB
Test: Random Fill Sync
uvg266
Video Input: Bosphorus 4K - Video Preset: Medium
SPECFEM3D
Model: Layered Halfspace
TensorFlow
Device: CPU - Batch Size: 32 - Model: GoogLeNet
Memcached
Set To Get Ratio: 1:100
Zstd Compression
Compression Level: 19 - Decompression Speed
Zstd Compression
Compression Level: 19 - Compression Speed
Memcached
Set To Get Ratio: 1:5
Memcached
Set To Get Ratio: 1:10
SPECFEM3D
Model: Water-layered Halfspace
Zstd Compression
Compression Level: 3, Long Mode - Decompression Speed
Zstd Compression
Compression Level: 3, Long Mode - Compression Speed
Zstd Compression
Compression Level: 8, Long Mode - Decompression Speed
Zstd Compression
Compression Level: 8, Long Mode - Compression Speed
Zstd Compression
Compression Level: 3 - Decompression Speed
Zstd Compression
Compression Level: 3 - Compression Speed
VVenC
Video Input: Bosphorus 1080p - Video Preset: Fast
Zstd Compression
Compression Level: 12 - Decompression Speed
Zstd Compression
Compression Level: 12 - Compression Speed
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
Zstd Compression
Compression Level: 19, Long Mode - Decompression Speed
Zstd Compression
Compression Level: 19, Long Mode - Compression Speed
Zstd Compression
Compression Level: 8 - Decompression Speed
Zstd Compression
Compression Level: 8 - Compression Speed
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
FFmpeg
Encoder: libx264 - Scenario: Live
FFmpeg
Encoder: libx264 - Scenario: Live
RocksDB
Test: Random Fill
RocksDB
Test: Update Random
RocksDB
Test: Read While Writing
John The Ripper
Test: MD5
RocksDB
Test: Read Random Write Random
John The Ripper
Test: HMAC-SHA512
RocksDB
Test: Random Read
OpenSSL
Algorithm: RSA4096
OpenSSL
Algorithm: RSA4096
Blender
Blend File: BMW27 - Compute: CPU-Only
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 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
TensorFlow
Device: CPU - Batch Size: 64 - Model: AlexNet
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
Neural Magic DeepSparse
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
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
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
TensorFlow
Device: CPU - Batch Size: 16 - Model: GoogLeNet
Neural Magic DeepSparse
Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream
VVenC
Video Input: Bosphorus 1080p - Video Preset: Faster
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
Embree
Binary: Pathtracer - Model: Asian Dragon Obj
TensorFlow
Device: CPU - Batch Size: 32 - Model: AlexNet
SPECFEM3D
Model: Homogeneous Halfspace
Timed FFmpeg Compilation
Time To Compile
uvg266
Video Input: Bosphorus 4K - Video Preset: Very Fast
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
uvg266
Video Input: Bosphorus 1080p - Video Preset: Slow
John The Ripper
Test: WPA PSK
John The Ripper
Test: bcrypt
John The Ripper
Test: Blowfish
uvg266
Video Input: Bosphorus 1080p - Video Preset: Medium
uvg266
Video Input: Bosphorus 4K - Video Preset: Super Fast
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
SPECFEM3D
Model: Tomographic Model
uvg266
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
SPECFEM3D
Model: Mount St. Helens
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
TensorFlow
Device: CPU - Batch Size: 16 - Model: AlexNet
Embree
Binary: Pathtracer - Model: Crown
Embree
Binary: Pathtracer ISPC - Model: Crown
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
Embree
Binary: Pathtracer - Model: Asian Dragon
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
oneDNN
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
uvg266
Video Input: Bosphorus 1080p - Video Preset: Very Fast
uvg266
Video Input: Bosphorus 1080p - Video Preset: Super Fast
uvg266
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 4K
Google Draco
Model: Church Facade
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
oneDNN
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
Google Draco
Model: Lion
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 4K
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
Phoronix Test Suite v10.8.5