eptc-7f32
AMD EPYC 7F32 8-Core testing with a ASRockRack EPYCD8 (P2.40 BIOS) and ASPEED on Debian 11 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2211213-NE-EPTC7F32616&grs&sor&rro.
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Execution Time
Mobile Neural Network
Model: mobilenet-v1-1.0
oneDNN
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
Natron
Input: Spaceship
JPEG XL Decoding libjxl
CPU Threads: All
C-Blosc
Test: blosclz bitshuffle
oneDNN
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
Mobile Neural Network
Model: MobileNetV2_224
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
Mobile Neural Network
Model: squeezenetv1.1
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
Stress-NG
Test: CPU Cache
Mobile Neural Network
Model: SqueezeNetV1.0
TensorFlow
Device: CPU - Batch Size: 16 - Model: GoogLeNet
OpenRadioss
Model: Cell Phone Drop Test
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
TensorFlow
Device: CPU - Batch Size: 32 - Model: AlexNet
TensorFlow
Device: CPU - Batch Size: 16 - Model: ResNet-50
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
TensorFlow
Device: CPU - Batch Size: 32 - Model: ResNet-50
oneDNN
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
Cpuminer-Opt
Algorithm: Blake-2 S
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Mesh Time
TensorFlow
Device: CPU - Batch Size: 64 - Model: ResNet-50
AOM AV1
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p
Cpuminer-Opt
Algorithm: x25x
Mobile Neural Network
Model: resnet-v2-50
TensorFlow
Device: CPU - Batch Size: 32 - Model: GoogLeNet
OpenVINO
Model: Person Detection FP32 - Device: CPU
Y-Cruncher
Pi Digits To Calculate: 500M
TensorFlow
Device: CPU - Batch Size: 64 - Model: AlexNet
TensorFlow
Device: CPU - Batch Size: 256 - Model: GoogLeNet
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
Mobile Neural Network
Model: mobilenetV3
OpenVINO
Model: Person Detection FP32 - Device: CPU
OpenRadioss
Model: INIVOL and Fluid Structure Interaction Drop Container
7-Zip Compression
Test: Compression Rating
TensorFlow
Device: CPU - Batch Size: 256 - Model: AlexNet
AOM AV1
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K
TensorFlow
Device: CPU - Batch Size: 16 - Model: AlexNet
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
TensorFlow
Device: CPU - Batch Size: 64 - Model: GoogLeNet
C-Blosc
Test: blosclz shuffle
Stress-NG
Test: Context Switching
Stress-NG
Test: Forking
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
Stress-NG
Test: Futex
Stress-NG
Test: MEMFD
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
TensorFlow
Device: CPU - Batch Size: 512 - Model: AlexNet
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
GraphicsMagick
Operation: HWB Color Space
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
libavif avifenc
Encoder Speed: 10, Lossless
JPEG XL libjxl
Input: JPEG - Quality: 80
JPEG XL libjxl
Input: PNG - Quality: 90
Stress-NG
Test: Memory Copying
Stress-NG
Test: CPU Stress
OpenVINO
Model: Person Detection FP16 - Device: CPU
JPEG XL libjxl
Input: PNG - Quality: 80
Xmrig
Variant: Monero - Hash Count: 1M
AOM AV1
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K
AOM AV1
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K
AOM AV1
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K
AOM AV1
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p
Cpuminer-Opt
Algorithm: Ringcoin
Y-Cruncher
Pi Digits To Calculate: 1B
JPEG XL libjxl
Input: JPEG - Quality: 90
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
OpenVINO
Model: Person Detection FP16 - Device: CPU
AOM AV1
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K
SMHasher
Hash: t1ha0_aes_avx2 x86_64
Facebook RocksDB
Test: Read While Writing
AOM AV1
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p
Cpuminer-Opt
Algorithm: Magi
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
spaCy
Model: en_core_web_trf
AOM AV1
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K
AOM AV1
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p
Stress-NG
Test: Glibc C String Functions
AOM AV1
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
Facebook RocksDB
Test: Random Read
Stress-NG
Test: MMAP
GraphicsMagick
Operation: Resizing
AOM AV1
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p
Stress-NG
Test: IO_uring
Xmrig
Variant: Wownero - Hash Count: 1M
oneDNN
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
JPEG XL libjxl
Input: PNG - Quality: 100
FFmpeg
Encoder: libx264 - Scenario: Live
FFmpeg
Encoder: libx264 - Scenario: Live
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: 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
EnCodec
Target Bandwidth: 1.5 kbps
libavif avifenc
Encoder Speed: 6, Lossless
Timed Erlang/OTP Compilation
Time To Compile
nginx
Connections: 1000
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
GraphicsMagick
Operation: Rotate
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
Scikit-Learn
Benchmark: TSNE MNIST Dataset
EnCodec
Target Bandwidth: 6 kbps
libavif avifenc
Encoder Speed: 6
Cpuminer-Opt
Algorithm: Garlicoin
Stress-NG
Test: Matrix Math
WebP2 Image Encode
Encode Settings: Default
EnCodec
Target Bandwidth: 3 kbps
Stress-NG
Test: Socket Activity
JPEG XL Decoding libjxl
CPU Threads: 1
OpenRadioss
Model: Bird Strike on Windshield
Stress-NG
Test: Mutex
FFmpeg
Encoder: libx265 - Scenario: Live
nginx
Connections: 500
Stress-NG
Test: Glibc Qsort Data Sorting
FFmpeg
Encoder: libx265 - Scenario: Live
Unpacking The Linux Kernel
linux-5.19.tar.xz
Neural Magic DeepSparse
Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
libavif avifenc
Encoder Speed: 0
srsRAN
Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
spaCy
Model: en_core_web_lg
TensorFlow
Device: CPU - Batch Size: 256 - Model: ResNet-50
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
OpenRadioss
Model: Rubber O-Ring Seal Installation
GraphicsMagick
Operation: Sharpen
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
Timed Node.js Compilation
Time To Compile
Timed CPython Compilation
Build Configuration: Released Build, PGO + LTO Optimized
nginx
Connections: 20
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
WebP Image Encode
Encode Settings: Quality 100, Lossless
Scikit-Learn
Benchmark: Sparse Random Projections, 100 Iterations
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
srsRAN
Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM
Timed CPython Compilation
Build Configuration: Default
FFmpeg
Encoder: libx265 - Scenario: Platform
FFmpeg
Encoder: libx265 - Scenario: Platform
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
Stress-NG
Test: Crypto
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
nginx
Connections: 100
srsRAN
Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM
Cpuminer-Opt
Algorithm: LBC, LBRY Credits
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
libavif avifenc
Encoder Speed: 2
FFmpeg
Encoder: libx264 - Scenario: Upload
srsRAN
Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM
Stress-NG
Test: Malloc
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
FFmpeg
Encoder: libx264 - Scenario: Upload
Stress-NG
Test: System V Message Passing
miniBUDE
Implementation: OpenMP - Input Deck: BM1
Mobile Neural Network
Model: inception-v3
miniBUDE
Implementation: OpenMP - Input Deck: BM1
OpenVINO
Model: Face Detection FP16 - Device: CPU
GraphicsMagick
Operation: Enhanced
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
Blender
Blend File: BMW27 - Compute: CPU-Only
SMHasher
Hash: FarmHash32 x86_64 AVX
nginx
Connections: 200
OpenRadioss
Model: Bumper Beam
FFmpeg
Encoder: libx265 - Scenario: Upload
srsRAN
Test: OFDM_Test
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
FFmpeg
Encoder: libx265 - Scenario: Upload
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
Cpuminer-Opt
Algorithm: Skeincoin
srsRAN
Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM
miniBUDE
Implementation: OpenMP - Input Deck: BM2
miniBUDE
Implementation: OpenMP - Input Deck: BM2
7-Zip Compression
Test: Decompression Rating
GraphicsMagick
Operation: Noise-Gaussian
FFmpeg
Encoder: libx265 - Scenario: Video On Demand
srsRAN
Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM
FFmpeg
Encoder: libx265 - Scenario: Video On Demand
Stress-NG
Test: SENDFILE
oneDNN
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
srsRAN
Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM
FLAC Audio Encoding
WAV To FLAC
WebP Image Encode
Encode Settings: Quality 100, Highest Compression
SMHasher
Hash: MeowHash x86_64 AES-NI
srsRAN
Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM
WebP Image Encode
Encode Settings: Quality 100
Cpuminer-Opt
Algorithm: scrypt
FFmpeg
Encoder: libx264 - Scenario: Platform
BRL-CAD
VGR Performance Metric
FFmpeg
Encoder: libx264 - Scenario: Platform
Cpuminer-Opt
Algorithm: Triple SHA-256, Onecoin
Timed PHP Compilation
Time To Compile
GraphicsMagick
Operation: Swirl
Stress-NG
Test: Vector Math
OpenVINO
Model: Face Detection FP16 - Device: CPU
WebP Image Encode
Encode Settings: Default
srsRAN
Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM
Scikit-Learn
Benchmark: MNIST Dataset
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
Facebook RocksDB
Test: Update Random
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
Stress-NG
Test: Semaphores
Neural Magic DeepSparse
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
EnCodec
Target Bandwidth: 24 kbps
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
Cpuminer-Opt
Algorithm: Deepcoin
Facebook RocksDB
Test: Read Random Write Random
srsRAN
Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM
SMHasher
Hash: t1ha2_atonce
Cpuminer-Opt
Algorithm: Myriad-Groestl
FFmpeg
Encoder: libx264 - Scenario: Video On Demand
Stress-NG
Test: Atomic
Stress-NG
Test: NUMA
FFmpeg
Encoder: libx264 - Scenario: Video On Demand
SMHasher
Hash: SHA3-256
Cpuminer-Opt
Algorithm: Quad SHA-256, Pyrite
SMHasher
Hash: Spooky32
SMHasher
Hash: FarmHash128
SMHasher
Hash: wyhash
SMHasher
Hash: fasthash32
Neural Magic DeepSparse
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
Mobile Neural Network
Model: nasnet
AOM AV1
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p
AOM AV1
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K
WebP2 Image Encode
Encode Settings: Quality 100, Lossless Compression
WebP2 Image Encode
Encode Settings: Quality 100, Compression Effort 5
WebP2 Image Encode
Encode Settings: Quality 95, Compression Effort 7
WebP2 Image Encode
Encode Settings: Quality 75, Compression Effort 7
WebP Image Encode
Encode Settings: Quality 100, Lossless, Highest Compression
JPEG XL libjxl
Input: JPEG - Quality: 100
SMHasher
Hash: MeowHash x86_64 AES-NI
SMHasher
Hash: t1ha0_aes_avx2 x86_64
SMHasher
Hash: FarmHash32 x86_64 AVX
SMHasher
Hash: t1ha2_atonce
SMHasher
Hash: FarmHash128
SMHasher
Hash: fasthash32
SMHasher
Hash: Spooky32
SMHasher
Hash: SHA3-256
SMHasher
Hash: wyhash
Phoronix Test Suite v10.8.5