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