AMD Ryzen Non-X benchmarks new cpus
Benchmarks for a future article on Phoronix.
HTML result view exported from: https://openbenchmarking.org/result/2301096-PTS-EO2022BE72&grs&sor.
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
Stargate Digital Audio Workstation
Sample Rate: 44100 - Buffer Size: 1024
QuadRay
Scene: 5 - Resolution: 4K
oneDNN
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
Blender
Blend File: BMW27 - Compute: CPU-Only
Blender
Blend File: Classroom - Compute: CPU-Only
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
miniBUDE
Implementation: OpenMP - Input Deck: BM1
miniBUDE
Implementation: OpenMP - Input Deck: BM1
QuadRay
Scene: 5 - Resolution: 1080p
Blender
Blend File: Barbershop - Compute: CPU-Only
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
OpenVINO
Model: Face Detection FP16 - Device: CPU
QuadRay
Scene: 3 - Resolution: 4K
Blender
Blend File: Fishy Cat - Compute: CPU-Only
QuadRay
Scene: 2 - Resolution: 4K
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
QuadRay
Scene: 3 - Resolution: 1080p
QuadRay
Scene: 2 - Resolution: 1080p
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
Stargate Digital Audio Workstation
Sample Rate: 96000 - Buffer Size: 1024
Stargate Digital Audio Workstation
Sample Rate: 44100 - Buffer Size: 512
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
Stargate Digital Audio Workstation
Sample Rate: 480000 - Buffer Size: 512
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
Xmrig
Variant: Wownero - Hash Count: 1M
QuadRay
Scene: 1 - Resolution: 4K
Stargate Digital Audio Workstation
Sample Rate: 192000 - Buffer Size: 1024
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
Stargate Digital Audio Workstation
Sample Rate: 480000 - Buffer Size: 1024
oneDNN
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
QuadRay
Scene: 1 - Resolution: 1080p
oneDNN
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
OpenVINO
Model: Person Detection FP32 - Device: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
Timed Linux Kernel Compilation
Build: allmodconfig
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
OpenVINO
Model: Person Detection FP16 - Device: CPU
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
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
OpenRadioss
Model: Rubber O-Ring Seal Installation
nginx
Connections: 200
nginx
Connections: 100
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
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
nginx
Connections: 500
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
Neural Magic DeepSparse
Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
oneDNN
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
OpenVKL
Benchmark: vklBenchmark Scalar
Timed Linux Kernel Compilation
Build: defconfig
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
spaCy
Model: en_core_web_trf
CockroachDB
Workload: KV, 95% Reads - Concurrency: 1024
OpenVKL
Benchmark: vklBenchmark ISPC
libavif avifenc
Encoder Speed: 6
nginx
Connections: 1000
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
Neural Magic DeepSparse
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
CockroachDB
Workload: KV, 95% Reads - Concurrency: 512
CockroachDB
Workload: KV, 95% Reads - Concurrency: 256
TensorFlow
Device: CPU - Batch Size: 64 - Model: AlexNet
OpenRadioss
Model: INIVOL and Fluid Structure Interaction Drop Container
CockroachDB
Workload: KV, 60% Reads - Concurrency: 1024
libavif avifenc
Encoder Speed: 0
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
Stargate Digital Audio Workstation
Sample Rate: 96000 - Buffer Size: 512
OpenRadioss
Model: Bird Strike on Windshield
OpenRadioss
Model: Cell Phone Drop Test
CockroachDB
Workload: KV, 50% Reads - Concurrency: 1024
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
Xmrig
Variant: Monero - Hash Count: 1M
TensorFlow
Device: CPU - Batch Size: 32 - 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
TensorFlow
Device: CPU - Batch Size: 64 - Model: GoogLeNet
libavif avifenc
Encoder Speed: 6, Lossless
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
libavif avifenc
Encoder Speed: 2
TensorFlow
Device: CPU - Batch Size: 16 - Model: GoogLeNet
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
TensorFlow
Device: CPU - Batch Size: 32 - Model: AlexNet
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
CockroachDB
Workload: KV, 10% Reads - Concurrency: 1024
oneDNN
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
Y-Cruncher
Pi Digits To Calculate: 1B
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Execution Time
Stargate Digital Audio Workstation
Sample Rate: 192000 - Buffer Size: 512
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Y-Cruncher
Pi Digits To Calculate: 500M
CockroachDB
Workload: KV, 95% Reads - Concurrency: 128
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
TensorFlow
Device: CPU - Batch Size: 64 - Model: ResNet-50
TensorFlow
Device: CPU - Batch Size: 32 - Model: ResNet-50
oneDNN
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
OpenRadioss
Model: Bumper Beam
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Mesh Time
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 4K
JPEG XL Decoding libjxl
CPU Threads: All
TensorFlow
Device: CPU - Batch Size: 16 - Model: ResNet-50
TensorFlow
Device: CPU - Batch Size: 16 - Model: AlexNet
CockroachDB
Workload: KV, 60% Reads - Concurrency: 512
CockroachDB
Workload: KV, 50% Reads - Concurrency: 512
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 4K
nekRS
Input: TurboPipe Periodic
CockroachDB
Workload: KV, 10% Reads - Concurrency: 512
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
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
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Model: Face Detection FP16 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
Neural Magic DeepSparse
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
OpenVINO
Model: Person Detection FP32 - Device: CPU
libavif avifenc
Encoder Speed: 10, Lossless
nginx
Connections: 20
OpenVINO
Model: Person Detection FP16 - Device: CPU
nginx
Connections: 4000
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
JPEG XL libjxl
Input: JPEG - Quality: 100
JPEG XL libjxl
Input: JPEG - Quality: 90
JPEG XL libjxl
Input: PNG - Quality: 90
JPEG XL libjxl
Input: JPEG - Quality: 80
JPEG XL libjxl
Input: PNG - Quality: 80
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
EnCodec
Target Bandwidth: 24 kbps
Neural Magic DeepSparse
Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
EnCodec
Target Bandwidth: 6 kbps
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
EnCodec
Target Bandwidth: 1.5 kbps
JPEG XL Decoding libjxl
CPU Threads: 1
EnCodec
Target Bandwidth: 3 kbps
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
JPEG XL libjxl
Input: PNG - Quality: 100
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
CockroachDB
Workload: KV, 10% Reads - Concurrency: 128
CockroachDB
Workload: KV, 50% Reads - Concurrency: 128
CockroachDB
Workload: KV, 10% Reads - Concurrency: 256
CockroachDB
Workload: KV, 50% Reads - Concurrency: 256
spaCy
Model: en_core_web_lg
CockroachDB
Workload: KV, 60% Reads - Concurrency: 128
CockroachDB
Workload: MoVR - Concurrency: 512
CockroachDB
Workload: MoVR - Concurrency: 128
CockroachDB
Workload: MoVR - Concurrency: 1024
CockroachDB
Workload: MoVR - Concurrency: 256
CockroachDB
Workload: KV, 60% Reads - Concurrency: 256
BRL-CAD
VGR Performance Metric
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Very Fast
uvg266
Video Input: Bosphorus 4K - Video Preset: Very Fast
uvg266
Video Input: Bosphorus 1080p - Video Preset: Medium
uvg266
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
uvg266
Video Input: Bosphorus 4K - Video Preset: Super Fast
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
uvg266
Video Input: Bosphorus 4K - Video Preset: Medium
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Very Fast
uvg266
Video Input: Bosphorus 1080p - Video Preset: Slow
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Medium
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Medium
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
uvg266
Video Input: Bosphorus 1080p - Video Preset: Very Fast
uvg266
Video Input: Bosphorus 1080p - Video Preset: Super Fast
uvg266
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Slow
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Super Fast
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Super Fast
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Slow
uvg266
Video Input: Bosphorus 4K - Video Preset: Slow
Phoronix Test Suite v10.8.5