xeon december
Intel Xeon Silver 4216 testing with a TYAN S7100AG2NR (V4.02 BIOS) and ASPEED on Debian 11 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2212188-NE-XEONDECEM12&grr.
OpenFOAM
Input: drivaerFastback, Medium Mesh Size - Execution Time
OpenFOAM
Input: drivaerFastback, Medium Mesh Size - Mesh Time
Blender
Blend File: Barbershop - Compute: CPU-Only
TensorFlow
Device: CPU - Batch Size: 64 - Model: VGG-16
Timed Linux Kernel Compilation
Build: allmodconfig
TensorFlow
Device: CPU - Batch Size: 32 - Model: VGG-16
OpenRadioss
Model: INIVOL and Fluid Structure Interaction Drop Container
Timed Node.js Compilation
Time To Compile
JPEG XL libjxl
Input: JPEG - Quality: 100
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
JPEG XL libjxl
Input: PNG - Quality: 100
Timed CPython Compilation
Build Configuration: Released Build, PGO + LTO Optimized
FFmpeg
Encoder: libx265 - Scenario: Video On Demand
FFmpeg
Encoder: libx265 - Scenario: Video On Demand
FFmpeg
Encoder: libx265 - Scenario: Platform
FFmpeg
Encoder: libx265 - Scenario: Platform
Blender
Blend File: Classroom - Compute: CPU-Only
OpenVKL
Benchmark: vklBenchmark ISPC
OpenVKL
Benchmark: vklBenchmark Scalar
FFmpeg
Encoder: libx264 - Scenario: Upload
FFmpeg
Encoder: libx264 - Scenario: Upload
FFmpeg
Encoder: libx265 - Scenario: Upload
FFmpeg
Encoder: libx265 - Scenario: Upload
TensorFlow
Device: CPU - Batch Size: 64 - Model: ResNet-50
OpenRadioss
Model: Bird Strike on Windshield
TensorFlow
Device: CPU - Batch Size: 16 - Model: VGG-16
miniBUDE
Implementation: OpenMP - Input Deck: BM2
miniBUDE
Implementation: OpenMP - Input Deck: BM2
Numenta Anomaly Benchmark
Detector: KNN CAD
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Execution Time
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Mesh Time
FFmpeg
Encoder: libx264 - Scenario: Video On Demand
FFmpeg
Encoder: libx264 - Scenario: Video On Demand
FFmpeg
Encoder: libx264 - Scenario: Platform
FFmpeg
Encoder: libx264 - Scenario: Platform
Mobile Neural Network
Model: inception-v3
Mobile Neural Network
Model: mobilenet-v1-1.0
Mobile Neural Network
Model: MobileNetV2_224
Mobile Neural Network
Model: SqueezeNetV1.0
Mobile Neural Network
Model: resnet-v2-50
Mobile Neural Network
Model: squeezenetv1.1
Mobile Neural Network
Model: mobilenetV3
Mobile Neural Network
Model: nasnet
OpenRadioss
Model: Rubber O-Ring Seal Installation
TensorFlow
Device: CPU - Batch Size: 32 - Model: ResNet-50
OpenRadioss
Model: Bumper Beam
Blender
Blend File: Fishy Cat - Compute: CPU-Only
libavif avifenc
Encoder Speed: 0
JPEG XL libjxl
Input: JPEG - Quality: 80
JPEG XL libjxl
Input: PNG - Quality: 80
Xmrig
Variant: Monero - Hash Count: 1M
FFmpeg
Encoder: libx265 - Scenario: Live
FFmpeg
Encoder: libx265 - Scenario: Live
Stargate Digital Audio Workstation
Sample Rate: 192000 - Buffer Size: 512
AOM AV1
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K
JPEG XL libjxl
Input: JPEG - Quality: 90
Blender
Blend File: BMW27 - Compute: CPU-Only
JPEG XL libjxl
Input: PNG - Quality: 90
Timed Erlang/OTP Compilation
Time To Compile
OpenRadioss
Model: Cell Phone Drop Test
TensorFlow
Device: CPU - Batch Size: 64 - Model: GoogLeNet
AOM AV1
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K
TensorFlow
Device: CPU - Batch Size: 16 - Model: ResNet-50
Stargate Digital Audio Workstation
Sample Rate: 192000 - Buffer Size: 1024
Xmrig
Variant: Wownero - Hash Count: 1M
CockroachDB
Workload: KV, 10% Reads - Concurrency: 1024
CockroachDB
Workload: KV, 60% Reads - Concurrency: 1024
CockroachDB
Workload: KV, 50% Reads - Concurrency: 1024
CockroachDB
Workload: KV, 10% Reads - Concurrency: 512
CockroachDB
Workload: KV, 95% Reads - Concurrency: 1024
CockroachDB
Workload: KV, 60% Reads - Concurrency: 512
CockroachDB
Workload: KV, 50% Reads - Concurrency: 512
CockroachDB
Workload: KV, 60% Reads - Concurrency: 256
CockroachDB
Workload: KV, 95% Reads - Concurrency: 512
CockroachDB
Workload: KV, 10% Reads - Concurrency: 256
CockroachDB
Workload: KV, 50% Reads - Concurrency: 256
CockroachDB
Workload: KV, 95% Reads - Concurrency: 256
CockroachDB
Workload: KV, 60% Reads - Concurrency: 128
CockroachDB
Workload: KV, 10% Reads - Concurrency: 128
CockroachDB
Workload: KV, 50% Reads - Concurrency: 128
CockroachDB
Workload: KV, 95% Reads - Concurrency: 128
CockroachDB
Workload: MoVR - Concurrency: 1024
CockroachDB
Workload: MoVR - Concurrency: 512
CockroachDB
Workload: MoVR - Concurrency: 128
JPEG XL Decoding libjxl
CPU Threads: 1
CockroachDB
Workload: MoVR - Concurrency: 256
Timed Linux Kernel Compilation
Build: defconfig
libavif avifenc
Encoder Speed: 2
AOM AV1
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K
Stargate Digital Audio Workstation
Sample Rate: 96000 - Buffer Size: 512
Timed PHP Compilation
Time To Compile
srsRAN
Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM
srsRAN
Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM
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
srsRAN
Test: OFDM_Test
AOM AV1
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p
TensorFlow
Device: CPU - Batch Size: 32 - Model: GoogLeNet
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
OpenVINO
Model: Person Detection FP16 - Device: CPU
OpenVINO
Model: Person Detection FP16 - Device: CPU
OpenVINO
Model: Face Detection FP16 - Device: CPU
OpenVINO
Model: Face Detection FP16 - Device: CPU
OpenVINO
Model: Person Detection FP32 - Device: CPU
OpenVINO
Model: Person Detection FP32 - Device: CPU
Stargate Digital Audio Workstation
Sample Rate: 96000 - Buffer Size: 1024
FFmpeg
Encoder: libx264 - Scenario: Live
FFmpeg
Encoder: libx264 - Scenario: Live
TensorFlow
Device: CPU - Batch Size: 64 - Model: AlexNet
srsRAN
Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM
srsRAN
Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
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
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
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 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
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
WebP Image Encode
Encode Settings: Quality 100, Lossless, Highest Compression
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
GraphicsMagick
Operation: Noise-Gaussian
GraphicsMagick
Operation: Enhanced
GraphicsMagick
Operation: Swirl
GraphicsMagick
Operation: Sharpen
GraphicsMagick
Operation: Resizing
GraphicsMagick
Operation: HWB Color Space
GraphicsMagick
Operation: Rotate
Stargate Digital Audio Workstation
Sample Rate: 480000 - Buffer Size: 512
Stargate Digital Audio Workstation
Sample Rate: 44100 - Buffer Size: 512
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
miniBUDE
Implementation: OpenMP - Input Deck: BM1
miniBUDE
Implementation: OpenMP - Input Deck: BM1
Y-Cruncher
Pi Digits To Calculate: 1B
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
Stargate Digital Audio Workstation
Sample Rate: 480000 - Buffer Size: 1024
7-Zip Compression
Test: Decompression Rating
7-Zip Compression
Test: Compression Rating
Stargate Digital Audio Workstation
Sample Rate: 44100 - Buffer Size: 1024
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
TensorFlow
Device: CPU - Batch Size: 16 - Model: GoogLeNet
AOM AV1
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p
JPEG XL Decoding libjxl
CPU Threads: All
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
Neural Magic DeepSparse
Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: CV Detection,YOLOv5s COCO - 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
TensorFlow
Device: CPU - Batch Size: 32 - Model: AlexNet
srsRAN
Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM
srsRAN
Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM
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
srsRAN
Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM
srsRAN
Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM
AOM AV1
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p
srsRAN
Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM
srsRAN
Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM
AOM AV1
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K
Cpuminer-Opt
Algorithm: Garlicoin
Cpuminer-Opt
Algorithm: Skeincoin
Cpuminer-Opt
Algorithm: Blake-2 S
Stress-NG
Test: x86_64 RdRand
Cpuminer-Opt
Algorithm: LBC, LBRY Credits
Cpuminer-Opt
Algorithm: scrypt
Stress-NG
Test: MMAP
Stress-NG
Test: System V Message Passing
Stress-NG
Test: Context Switching
Stress-NG
Test: NUMA
Stress-NG
Test: IO_uring
Stress-NG
Test: Malloc
Stress-NG
Test: Atomic
Stress-NG
Test: Memory Copying
Stress-NG
Test: CPU Cache
Stress-NG
Test: MEMFD
Stress-NG
Test: Futex
Stress-NG
Test: Glibc Qsort Data Sorting
Stress-NG
Test: Glibc C String Functions
Stress-NG
Test: Socket Activity
Stress-NG
Test: Vector Math
Stress-NG
Test: Matrix Math
Stress-NG
Test: Semaphores
Stress-NG
Test: CPU Stress
Stress-NG
Test: SENDFILE
Stress-NG
Test: Forking
Stress-NG
Test: Crypto
Stress-NG
Test: Mutex
Cpuminer-Opt
Algorithm: Quad SHA-256, Pyrite
AOM AV1
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K
Cpuminer-Opt
Algorithm: Magi
Cpuminer-Opt
Algorithm: Ringcoin
Cpuminer-Opt
Algorithm: Deepcoin
Cpuminer-Opt
Algorithm: Myriad-Groestl
Cpuminer-Opt
Algorithm: x25x
Cpuminer-Opt
Algorithm: Triple SHA-256, Onecoin
FLAC Audio Encoding
WAV To FLAC
TensorFlow
Device: CPU - Batch Size: 16 - Model: AlexNet
AOM AV1
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p
Y-Cruncher
Pi Digits To Calculate: 500M
Timed CPython Compilation
Build Configuration: Default
AOM AV1
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K
AOM AV1
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K
WebP Image Encode
Encode Settings: Quality 100, Lossless
AOM AV1
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p
libavif avifenc
Encoder Speed: 6, Lossless
AOM AV1
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p
AOM AV1
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p
Unpacking The Linux Kernel
linux-5.19.tar.xz
WebP Image Encode
Encode Settings: Quality 100, Highest Compression
libavif avifenc
Encoder Speed: 6
libavif avifenc
Encoder Speed: 10, Lossless
WebP Image Encode
Encode Settings: Quality 100
WebP Image Encode
Encode Settings: Default
Phoronix Test Suite v10.8.4