Ryzen 3 2200G 2021
AMD Ryzen 3 2200G testing with a ASUS PRIME B350M-E (5220 BIOS) and ASUS AMD Radeon Vega / Mobile 2GB on Ubuntu 20.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2101191-HA-RYZEN322022&grs&rdt.
Redis
Test: LPOP
Kripke
LeelaChessZero
Backend: BLAS
LeelaChessZero
Backend: Eigen
Redis
Test: GET
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
Sunflow Rendering System
Global Illumination + Image Synthesis
Node.js V8 Web Tooling Benchmark
OSBench
Test: Memory Allocations
oneDNN
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
NCNN
Target: Vulkan GPU - Model: resnet50
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
TensorFlow Lite
Model: Mobilenet Quant
oneDNN
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
Mobile Neural Network
Model: mobilenet-v1-1.0
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
rav1e
Speed: 10
NCNN
Target: Vulkan GPU - Model: shufflenet-v2
oneDNN
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
Darktable
Test: Boat - Acceleration: CPU-only
NCNN
Target: CPU-v2-v2 - Model: mobilenet-v2
Mobile Neural Network
Model: SqueezeNetV1.0
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
Sockperf
Test: Latency Ping Pong
OSBench
Test: Create Processes
NCNN
Target: Vulkan GPU - Model: blazeface
NCNN
Target: CPU - Model: mnasnet
LULESH
FFTE
N=256, 3D Complex FFT Routine
LZ4 Compression
Compression Level: 3 - Compression Speed
TensorFlow Lite
Model: Mobilenet Float
oneDNN
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
LibRaw
Post-Processing Benchmark
GROMACS
Water Benchmark
dav1d
Video Input: Chimera 1080p 10-bit
RNNoise
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
Hugin
Panorama Photo Assistant + Stitching Time
NCNN
Target: CPU - Model: regnety_400m
NCNN
Target: CPU - Model: shufflenet-v2
NCNN
Target: CPU-v3-v3 - Model: mobilenet-v3
NCNN
Target: CPU - Model: vgg16
NCNN
Target: CPU - Model: efficientnet-b0
NCNN
Target: CPU - Model: resnet50
asmFish
1024 Hash Memory, 26 Depth
Basis Universal
Settings: UASTC Level 0
Stockfish
Total Time
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
Darktable
Test: Server Room - Acceleration: CPU-only
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
KeyDB
NCNN
Target: Vulkan GPU - Model: mobilenet
Darktable
Test: Server Rack - Acceleration: CPU-only
Zstd Compression
Compression Level: 3
AOM AV1
Encoder Mode: Speed 4 Two-Pass
InfluxDB
Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
Darktable
Test: Masskrug - Acceleration: CPU-only
Zstd Compression
Compression Level: 19
OpenFOAM
Input: Motorbike 30M
Redis
Test: SADD
AOM AV1
Encoder Mode: Speed 6 Realtime
TensorFlow Lite
Model: SqueezeNet
Incompact3D
Input: Cylinder
NCNN
Target: Vulkan GPU - Model: vgg16
TensorFlow Lite
Model: Inception V4
NCNN
Target: CPU - Model: blazeface
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
Redis
Test: SET
NAMD
ATPase Simulation - 327,506 Atoms
Mobile Neural Network
Model: inception-v3
x265
Video Input: Bosphorus 1080p
NCNN
Target: CPU - Model: googlenet
NCNN
Target: CPU - Model: mobilenet
OSBench
Test: Create Files
rav1e
Speed: 5
Crafty
Elapsed Time
dav1d
Video Input: Summer Nature 1080p
LAMMPS Molecular Dynamics Simulator
Model: Rhodopsin Protein
NCNN
Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3
NCNN
Target: Vulkan GPU - Model: alexnet
BYTE Unix Benchmark
Computational Test: Dhrystone 2
NCNN
Target: Vulkan GPU - Model: regnety_400m
Embree
Binary: Pathtracer - Model: Asian Dragon
CP2K Molecular Dynamics
Fayalite-FIST Data
NCNN
Target: CPU - Model: alexnet
AOM AV1
Encoder Mode: Speed 6 Two-Pass
LZ4 Compression
Compression Level: 1 - Decompression Speed
SQLite Speedtest
Timed Time - Size 1,000
oneDNN
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
yquake2
Renderer: OpenGL 3.x - Resolution: 1920 x 1080
WebP Image Encode
Encode Settings: Default
Redis
Test: LPUSH
Sockperf
Test: Throughput
Warsow
Resolution: 1920 x 1080
IndigoBench
Acceleration: CPU - Scene: Supercar
IndigoBench
Acceleration: CPU - Scene: Bedroom
WebP Image Encode
Encode Settings: Quality 100, Lossless, Highest Compression
Numpy Benchmark
PHPBench
PHP Benchmark Suite
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
Coremark
CoreMark Size 666 - Iterations Per Second
Embree
Binary: Pathtracer - Model: Asian Dragon Obj
Caffe
Model: AlexNet - Acceleration: CPU - Iterations: 100
Dolfyn
Computational Fluid Dynamics
NCNN
Target: Vulkan GPU - Model: resnet18
NCNN
Target: Vulkan GPU - Model: yolov4-tiny
OSBench
Test: Launch Programs
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Medium
OSBench
Test: Create Threads
rav1e
Speed: 6
Embree
Binary: Pathtracer - Model: Crown
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Very Fast
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
WavPack Audio Encoding
WAV To WavPack
ASTC Encoder
Preset: Medium
NCNN
Target: CPU - Model: squeezenet_ssd
ASTC Encoder
Preset: Fast
Embree
Binary: Pathtracer ISPC - Model: Crown
Timed Eigen Compilation
Time To Compile
OCRMyPDF
Processing 60 Page PDF Document
Monte Carlo Simulations of Ionised Nebulae
Input: Dust 2D tau100.0
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
NCNN
Target: Vulkan GPU - Model: mnasnet
NCNN
Target: Vulkan GPU - Model: squeezenet_ssd
Timed Godot Game Engine Compilation
Time To Compile
Mobile Neural Network
Model: resnet-v2-50
eSpeak-NG Speech Engine
Text-To-Speech Synthesis
InfluxDB
Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
NCNN
Target: CPU - Model: resnet18
Mobile Neural Network
Model: MobileNetV2_224
NCNN
Target: Vulkan GPU - Model: efficientnet-b0
Timed FFmpeg Compilation
Time To Compile
Google SynthMark
Test: VoiceMark_100
TensorFlow Lite
Model: NASNet Mobile
GIMP
Test: auto-levels
Waifu2x-NCNN Vulkan
Scale: 2x - Denoise: 3 - TAA: No
GIMP
Test: rotate
yquake2
Renderer: Software CPU - Resolution: 1920 x 1080
WebP Image Encode
Encode Settings: Quality 100
x265
Video Input: Bosphorus 4K
oneDNN
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
AOM AV1
Encoder Mode: Speed 8 Realtime
Build2
Time To Compile
Timed HMMer Search
Pfam Database Search
TNN
Target: CPU - Model: SqueezeNet v1.1
LZ4 Compression
Compression Level: 1 - Compression Speed
Algebraic Multi-Grid Benchmark
ASTC Encoder
Preset: Thorough
dav1d
Video Input: Summer Nature 4K
ASTC Encoder
Preset: Exhaustive
GIMP
Test: resize
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
Timed MAFFT Alignment
Multiple Sequence Alignment - LSU RNA
RawTherapee
Total Benchmark Time
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Very Fast
WebP Image Encode
Encode Settings: Quality 100, Lossless
VKMark
Resolution: 1920 x 1080
Monkey Audio Encoding
WAV To APE
NCNN
Target: Vulkan GPU - Model: googlenet
NCNN
Target: CPU - Model: yolov4-tiny
Opus Codec Encoding
WAV To Opus Encode
Basis Universal
Settings: UASTC Level 2
CloverLeaf
Lagrangian-Eulerian Hydrodynamics
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
Caffe
Model: GoogleNet - Acceleration: CPU - Iterations: 100
Unpacking Firefox
Extracting: firefox-84.0.source.tar.xz
dav1d
Video Input: Chimera 1080p
Hierarchical INTegration
Test: FLOAT
GLmark2
Resolution: 1920 x 1080
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Medium
LZ4 Compression
Compression Level: 9 - Decompression Speed
Basis Universal
Settings: ETC1S
TensorFlow Lite
Model: Inception ResNet V2
TNN
Target: CPU - Model: MobileNet v2
GIMP
Test: unsharp-mask
LZ4 Compression
Compression Level: 3 - Decompression Speed
RealSR-NCNN
Scale: 4x - TAA: Yes
Waifu2x-NCNN Vulkan
Scale: 2x - Denoise: 3 - TAA: Yes
RealSR-NCNN
Scale: 4x - TAA: No
WebP Image Encode
Encode Settings: Quality 100, Highest Compression
simdjson
Throughput Test: DistinctUserID
simdjson
Throughput Test: PartialTweets
simdjson
Throughput Test: LargeRandom
simdjson
Throughput Test: Kostya
CLOMP
Static OMP Speedup
NCNN
Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
LZ4 Compression
Compression Level: 9 - Compression Speed
Sockperf
Test: Latency Under Load
Phoronix Test Suite v10.8.5