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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/2304025-NE-EEE49872408&grs.
TensorFlow
Device: CPU - Batch Size: 32 - Model: GoogLeNet
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
PostgreSQL
Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 50 - Mode: Read Write
oneDNN
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
Memcached
Set To Get Ratio: 1:100
Memcached
Set To Get Ratio: 1:5
Memcached
Set To Get Ratio: 1:10
Zstd Compression
Compression Level: 3, Long Mode - Compression Speed
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
FFmpeg
Encoder: libx265 - Scenario: Live
FFmpeg
Encoder: libx265 - Scenario: Live
RocksDB
Test: Random Fill Sync
John The Ripper
Test: HMAC-SHA512
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 4K
oneDNN
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
Zstd Compression
Compression Level: 8 - Compression Speed
ClickHouse
100M Rows Hits Dataset, First Run / Cold Cache
ClickHouse
100M Rows Hits Dataset, Second Run
Zstd Compression
Compression Level: 19, Long Mode - Compression Speed
Zstd Compression
Compression Level: 12 - Compression Speed
Zstd Compression
Compression Level: 3 - Compression Speed
Timed LLVM Compilation
Build System: Unix Makefiles
RocksDB
Test: Sequential Fill
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Zstd Compression
Compression Level: 8, Long Mode - Compression Speed
RocksDB
Test: Random Fill
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
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
TensorFlow
Device: CPU - Batch Size: 16 - Model: AlexNet
ClickHouse
100M Rows Hits Dataset, Third Run
VVenC
Video Input: Bosphorus 4K - Video Preset: Fast
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
SPECFEM3D
Model: Mount St. Helens
RocksDB
Test: Update Random
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
SPECFEM3D
Model: Water-layered Halfspace
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
Build2
Time To Compile
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
oneDNN
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
PostgreSQL
Scaling Factor: 1 - Clients: 50 - Mode: Read Only
nginx
Connections: 500
uvg266
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
nginx
Connections: 200
VVenC
Video Input: Bosphorus 1080p - Video Preset: Fast
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
uvg266
Video Input: Bosphorus 1080p - Video Preset: Very Fast
SPECFEM3D
Model: Tomographic Model
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
VVenC
Video Input: Bosphorus 1080p - Video Preset: Faster
uvg266
Video Input: Bosphorus 1080p - Video Preset: Super Fast
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: Super Fast
TensorFlow
Device: CPU - Batch Size: 256 - Model: GoogLeNet
Timed LLVM Compilation
Build System: Ninja
SPECFEM3D
Model: Layered Halfspace
FFmpeg
Encoder: libx264 - Scenario: Live
FFmpeg
Encoder: libx264 - Scenario: Live
FFmpeg
Encoder: libx265 - Scenario: Upload
OpenSSL
Algorithm: SHA256
FFmpeg
Encoder: libx265 - Scenario: Upload
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
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
TensorFlow
Device: CPU - Batch Size: 64 - Model: AlexNet
OpenSSL
Algorithm: RSA4096
RocksDB
Test: Read Random Write Random
SPECFEM3D
Model: Homogeneous Halfspace
Zstd Compression
Compression Level: 19 - Decompression Speed
Zstd Compression
Compression Level: 19, Long Mode - Decompression Speed
Timed Godot Game Engine Compilation
Time To Compile
VVenC
Video Input: Bosphorus 4K - Video Preset: Faster
uvg266
Video Input: Bosphorus 1080p - Video Preset: Slow
oneDNN
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
Timed FFmpeg Compilation
Time To Compile
oneDNN
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
Neural Magic DeepSparse
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
Zstd Compression
Compression Level: 12 - Decompression Speed
Neural Magic DeepSparse
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
uvg266
Video Input: Bosphorus 1080p - Video Preset: Medium
Embree
Binary: Pathtracer - Model: Crown
TensorFlow
Device: CPU - Batch Size: 16 - Model: GoogLeNet
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
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 4K
Zstd Compression
Compression Level: 19 - Compression Speed
John The Ripper
Test: Blowfish
RocksDB
Test: Read While Writing
Zstd Compression
Compression Level: 8, Long Mode - Decompression Speed
Embree
Binary: Pathtracer ISPC - Model: Crown
Zstd Compression
Compression Level: 3 - Decompression Speed
TensorFlow
Device: CPU - Batch Size: 256 - Model: ResNet-50
TensorFlow
Device: CPU - Batch Size: 64 - Model: ResNet-50
Zstd Compression
Compression Level: 3, Long Mode - Decompression Speed
FFmpeg
Encoder: libx264 - Scenario: Video On Demand
John The Ripper
Test: WPA PSK
FFmpeg
Encoder: libx264 - Scenario: Video On Demand
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
TensorFlow
Device: CPU - Batch Size: 32 - Model: AlexNet
John The Ripper
Test: MD5
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
nginx
Connections: 1000
Blender
Blend File: BMW27 - Compute: CPU-Only
Embree
Binary: Pathtracer - Model: Asian Dragon Obj
oneDNN
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
uvg266
Video Input: Bosphorus 4K - Video Preset: Slow
TensorFlow
Device: CPU - Batch Size: 512 - Model: ResNet-50
FFmpeg
Encoder: libx264 - Scenario: Upload
uvg266
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
OpenSSL
Algorithm: SHA512
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
FFmpeg
Encoder: libx264 - Scenario: Upload
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
TensorFlow
Device: CPU - Batch Size: 512 - Model: GoogLeNet
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
Embree
Binary: Pathtracer - Model: Asian Dragon
PostgreSQL
Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency
OpenSSL
Algorithm: AES-128-GCM
Zstd Compression
Compression Level: 8 - Decompression Speed
uvg266
Video Input: Bosphorus 4K - Video Preset: Very Fast
TensorFlow
Device: CPU - Batch Size: 256 - Model: AlexNet
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
TensorFlow
Device: CPU - Batch Size: 512 - Model: AlexNet
PostgreSQL
Scaling Factor: 1 - Clients: 50 - Mode: Read Write
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
FFmpeg
Encoder: libx264 - Scenario: Platform
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
FFmpeg
Encoder: libx265 - Scenario: Video On Demand
OpenSSL
Algorithm: RSA4096
FFmpeg
Encoder: libx264 - Scenario: Platform
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
FFmpeg
Encoder: libx265 - Scenario: Platform
PostgreSQL
Scaling Factor: 100 - Clients: 50 - Mode: Read Only
uvg266
Video Input: Bosphorus 4K - Video Preset: Medium
FFmpeg
Encoder: libx265 - Scenario: Video On Demand
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
RocksDB
Test: Random Read
TensorFlow
Device: CPU - Batch Size: 32 - Model: ResNet-50
Google Draco
Model: Church Facade
FFmpeg
Encoder: libx265 - Scenario: Platform
nginx
Connections: 100
OpenSSL
Algorithm: AES-256-GCM
Google Draco
Model: Lion
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: 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: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
Blender
Blend File: Barbershop - Compute: CPU-Only
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
Blender
Blend File: Fishy Cat - Compute: CPU-Only
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
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
TensorFlow
Device: CPU - Batch Size: 64 - Model: GoogLeNet
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
John The Ripper
Test: bcrypt
Blender
Blend File: Classroom - Compute: CPU-Only
Timed Node.js Compilation
Time To Compile
TensorFlow
Device: CPU - Batch Size: 16 - Model: ResNet-50
oneDNN
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
OpenSSL
Algorithm: ChaCha20
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-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
Neural Magic DeepSparse
Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream
OpenSSL
Algorithm: ChaCha20-Poly1305
Neural Magic DeepSparse
Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream
PostgreSQL
Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency
PostgreSQL
Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency
Phoronix Test Suite v10.8.5