Ryzen 3 2200G 2021 Suite
1.0.0
System
Test suite extracted from Ryzen 3 2200G 2021.
pts/amg-1.1.0
pts/dav1d-1.7.1
-i chimera_8b_1080p.ivf
Video Input: Chimera 1080p
pts/dav1d-1.7.1
-i summer_nature_4k.ivf
Video Input: Summer Nature 4K
pts/dav1d-1.7.1
-i summer_nature_1080p.ivf
Video Input: Summer Nature 1080p
pts/dav1d-1.7.1
-i chimera_10b_1080p.ivf
Video Input: Chimera 1080p 10-bit
pts/warsow-1.6.0
+vid_width 1920 +vid_height 1080
Resolution: 1920 x 1080
pts/yquake2-1.0.1
+set vid_renderer gl3 +set r_mode 21
Renderer: OpenGL 3.x - Resolution: 1920 x 1080
pts/yquake2-1.0.1
+set vid_renderer soft +set r_mode 21
Renderer: Software CPU - Resolution: 1920 x 1080
pts/aom-av1-2.1.2
--cpu-used=4 --limit=40
Encoder Mode: Speed 4 Two-Pass
pts/aom-av1-2.1.2
--cpu-used=6 --rt
Encoder Mode: Speed 6 Realtime
pts/aom-av1-2.1.2
--cpu-used=6 --limit=80
Encoder Mode: Speed 6 Two-Pass
pts/aom-av1-2.1.2
--cpu-used=8 --rt
Encoder Mode: Speed 8 Realtime
pts/embree-1.1.1
pathtracer -c crown/crown.ecs
Binary: Pathtracer - Model: Crown
pts/embree-1.1.1
pathtracer_ispc -c crown/crown.ecs
Binary: Pathtracer ISPC - Model: Crown
pts/embree-1.1.1
pathtracer -c asian_dragon/asian_dragon.ecs
Binary: Pathtracer - Model: Asian Dragon
pts/embree-1.1.1
pathtracer -c asian_dragon_obj/asian_dragon.ecs
Binary: Pathtracer - Model: Asian Dragon Obj
pts/embree-1.1.1
pathtracer_ispc -c asian_dragon/asian_dragon.ecs
Binary: Pathtracer ISPC - Model: Asian Dragon
pts/embree-1.1.1
pathtracer_ispc -c asian_dragon_obj/asian_dragon.ecs
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
pts/kvazaar-1.0.0
-i Bosphorus_3840x2160.y4m --preset medium
Video Input: Bosphorus 4K - Video Preset: Medium
pts/kvazaar-1.0.0
-i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset medium
Video Input: Bosphorus 1080p - Video Preset: Medium
pts/kvazaar-1.0.0
-i Bosphorus_3840x2160.y4m --preset veryfast
Video Input: Bosphorus 4K - Video Preset: Very Fast
pts/kvazaar-1.0.0
-i Bosphorus_3840x2160.y4m --preset ultrafast
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
pts/kvazaar-1.0.0
-i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset veryfast
Video Input: Bosphorus 1080p - Video Preset: Very Fast
pts/kvazaar-1.0.0
-i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset ultrafast
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
pts/rav1e-1.5.0
-s 5 -l 60
Speed: 5
pts/rav1e-1.5.0
-s 6 -l 60
Speed: 6
pts/rav1e-1.5.0
-s 10 -l 90
Speed: 10
pts/x265-1.3.0
Bosphorus_3840x2160.y4m
Video Input: Bosphorus 4K
pts/x265-1.3.0
Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Video Input: Bosphorus 1080p
pts/simdjson-1.1.1
Kostya
Throughput Test: Kostya
pts/simdjson-1.1.1
LargeRandom
Throughput Test: LargeRandom
pts/simdjson-1.1.1
PartialTweets
Throughput Test: PartialTweets
pts/simdjson-1.1.1
DistinctUserID
Throughput Test: DistinctUserID
pts/coremark-1.0.1
CoreMark Size 666 - Iterations Per Second
pts/byte-1.2.2
TEST_DHRY2
Computational Test: Dhrystone 2
pts/indigobench-1.1.0
--cpuonly --scenes bedroom
Acceleration: CPU - Scene: Bedroom
pts/indigobench-1.1.0
--cpuonly --scenes supercar
Acceleration: CPU - Scene: Supercar
pts/compress-lz4-1.0.0
-b1 -e1
Compression Level: 1 - Compression Speed
pts/compress-lz4-1.0.0
-b1 -e1
Compression Level: 1 - Decompression Speed
pts/compress-lz4-1.0.0
-b3 -e3
Compression Level: 3 - Compression Speed
pts/compress-lz4-1.0.0
-b3 -e3
Compression Level: 3 - Decompression Speed
pts/compress-lz4-1.0.0
-b9 -e9
Compression Level: 9 - Compression Speed
pts/compress-lz4-1.0.0
-b9 -e9
Compression Level: 9 - Decompression Speed
pts/compress-zstd-1.2.1
-b3
Compression Level: 3
pts/compress-zstd-1.2.1
-b19
Compression Level: 19
pts/sockperf-1.0.1
throughput
Test: Throughput
pts/ffte-1.2.1
N=256, 3D Complex FFT Routine
pts/libraw-1.0.0
Post-Processing Benchmark
pts/lczero-1.5.1
-b blas
Backend: BLAS
pts/lczero-1.5.1
-b eigen
Backend: Eigen
pts/crafty-1.4.5
Elapsed Time
pts/stockfish-1.2.0
Total Time
pts/asmfish-1.1.2
1024 Hash Memory, 26 Depth
pts/gromacs-1.4.1
Water Benchmark
pts/lammps-1.3.2
in.rhodo
Model: Rhodopsin Protein
pts/keydb-1.2.0
pts/hint-1.0.3
FLOAT
Test: FLOAT
pts/redis-1.3.0
-t lpop
Test: LPOP
pts/redis-1.3.0
-t sadd
Test: SADD
pts/redis-1.3.0
-t lpush
Test: LPUSH
pts/redis-1.3.0
-t get
Test: GET
pts/redis-1.3.0
-t set
Test: SET
pts/node-web-tooling-1.0.0
pts/glmark2-1.2.0
-s 1920x1080
Resolution: 1920 x 1080
pts/numpy-1.2.1
pts/phpbench-1.1.6
PHP Benchmark Suite
pts/clomp-1.1.1
Static OMP Speedup
pts/kripke-1.1.0
pts/influxdb-1.0.0
-c 4 -b 10000 -t 2,5000,1 -p 10000
Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
pts/influxdb-1.0.0
-c 64 -b 10000 -t 2,5000,1 -p 10000
Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
pts/vkmark-1.2.0
--size 1920x1080
Resolution: 1920 x 1080
pts/synthmark-1.0.0
-tv -p100 -s30
Test: VoiceMark_100
pts/lulesh-1.1.1
pts/namd-1.2.1
ATPase Simulation - 327,506 Atoms
pts/webp-1.0.0
Encode Settings: Default
pts/webp-1.0.0
-q 100
Encode Settings: Quality 100
pts/webp-1.0.0
-q 100 -lossless
Encode Settings: Quality 100, Lossless
pts/webp-1.0.0
-q 100 -m 6
Encode Settings: Quality 100, Highest Compression
pts/webp-1.0.0
-q 100 -lossless -m 6
Encode Settings: Quality 100, Lossless, Highest Compression
pts/tensorflow-lite-1.0.0
--graph=squeezenet.tflite
Model: SqueezeNet
pts/tensorflow-lite-1.0.0
--graph=inception_v4.tflite
Model: Inception V4
pts/tensorflow-lite-1.0.0
--graph=nasnet_mobile.tflite
Model: NASNet Mobile
pts/tensorflow-lite-1.0.0
--graph=mobilenet_v1_1.0_224.tflite
Model: Mobilenet Float
pts/tensorflow-lite-1.0.0
--graph=mobilenet_v1_1.0_224_quant.tflite
Model: Mobilenet Quant
pts/tensorflow-lite-1.0.0
--graph=inception_resnet_v2.tflite
Model: Inception ResNet V2
pts/caffe-1.5.0
--model=../models/bvlc_alexnet/deploy.prototxt -iterations 100
Model: AlexNet - Acceleration: CPU - Iterations: 100
pts/caffe-1.5.0
--model=../models/bvlc_googlenet/deploy.prototxt -iterations 100
Model: GoogleNet - Acceleration: CPU - Iterations: 100
pts/onednn-1.6.1
--ip --batch=inputs/ip/shapes_1d --cfg=f32 --engine=cpu
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
pts/onednn-1.6.1
--ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
pts/onednn-1.6.1
--ip --batch=inputs/ip/shapes_1d --cfg=u8s8f32 --engine=cpu
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.1
--ip --batch=inputs/ip/shapes_3d --cfg=u8s8f32 --engine=cpu
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.1
--conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
pts/onednn-1.6.1
--deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpu
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
pts/onednn-1.6.1
--deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
pts/onednn-1.6.1
--conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.1
--deconv --batch=inputs/deconv/shapes_1d --cfg=u8s8f32 --engine=cpu
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.1
--deconv --batch=inputs/deconv/shapes_3d --cfg=u8s8f32 --engine=cpu
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.1
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
pts/onednn-1.6.1
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
pts/onednn-1.6.1
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=u8s8f32 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.1
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.1
--matmul --batch=inputs/matmul/shapes_transformer --cfg=f32 --engine=cpu
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
pts/onednn-1.6.1
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-1.6.1
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-1.6.1
--matmul --batch=inputs/matmul/shapes_transformer --cfg=u8s8f32 --engine=cpu
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
pts/mnn-1.1.1
Model: SqueezeNetV1.0
pts/mnn-1.1.1
Model: resnet-v2-50
pts/mnn-1.1.1
Model: MobileNetV2_224
pts/mnn-1.1.1
Model: mobilenet-v1-1.0
pts/mnn-1.1.1
Model: inception-v3
pts/ncnn-1.1.0
-1
Target: CPU - Model: mobilenet
pts/ncnn-1.1.0
-1
Target: CPU-v2-v2 - Model: mobilenet-v2
pts/ncnn-1.1.0
-1
Target: CPU-v3-v3 - Model: mobilenet-v3
pts/ncnn-1.1.0
-1
Target: CPU - Model: shufflenet-v2
pts/ncnn-1.1.0
-1
Target: CPU - Model: mnasnet
pts/ncnn-1.1.0
-1
Target: CPU - Model: efficientnet-b0
pts/ncnn-1.1.0
-1
Target: CPU - Model: blazeface
pts/ncnn-1.1.0
-1
Target: CPU - Model: googlenet
pts/ncnn-1.1.0
-1
Target: CPU - Model: vgg16
pts/ncnn-1.1.0
-1
Target: CPU - Model: resnet18
pts/ncnn-1.1.0
-1
Target: CPU - Model: alexnet
pts/ncnn-1.1.0
-1
Target: CPU - Model: resnet50
pts/ncnn-1.1.0
-1
Target: CPU - Model: yolov4-tiny
pts/ncnn-1.1.0
-1
Target: CPU - Model: squeezenet_ssd
pts/ncnn-1.1.0
-1
Target: CPU - Model: regnety_400m
pts/ncnn-1.1.0
Target: Vulkan GPU - Model: mobilenet
pts/ncnn-1.1.0
Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2
pts/ncnn-1.1.0
Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3
pts/ncnn-1.1.0
Target: Vulkan GPU - Model: shufflenet-v2
pts/ncnn-1.1.0
Target: Vulkan GPU - Model: mnasnet
pts/ncnn-1.1.0
Target: Vulkan GPU - Model: efficientnet-b0
pts/ncnn-1.1.0
Target: Vulkan GPU - Model: blazeface
pts/ncnn-1.1.0
Target: Vulkan GPU - Model: googlenet
pts/ncnn-1.1.0
Target: Vulkan GPU - Model: vgg16
pts/ncnn-1.1.0
Target: Vulkan GPU - Model: resnet18
pts/ncnn-1.1.0
Target: Vulkan GPU - Model: alexnet
pts/ncnn-1.1.0
Target: Vulkan GPU - Model: resnet50
pts/ncnn-1.1.0
Target: Vulkan GPU - Model: yolov4-tiny
pts/ncnn-1.1.0
Target: Vulkan GPU - Model: squeezenet_ssd
pts/ncnn-1.1.0
Target: Vulkan GPU - Model: regnety_400m
pts/tnn-1.0.1
-dt NAIVE -mp ../benchmark/benchmark-model/mobilenet_v2.tnnproto
Target: CPU - Model: MobileNet v2
pts/tnn-1.0.1
-dt NAIVE -mp ../benchmark/benchmark-model/squeezenet_v1.1.tnnproto
Target: CPU - Model: SqueezeNet v1.1
pts/osbench-1.0.2
mem_alloc.exe
Test: Memory Allocations
pts/realsr-ncnn-1.0.0
-s 4
Scale: 4x - TAA: No
pts/realsr-ncnn-1.0.0
-s 4 -x
Scale: 4x - TAA: Yes
pts/waifu2x-ncnn-1.0.0
-s 2 -n 3
Scale: 2x - Denoise: 3 - TAA: No
pts/waifu2x-ncnn-1.0.0
-s 2 -n 3 -x
Scale: 2x - Denoise: 3 - TAA: Yes
pts/cloverleaf-1.1.0
Lagrangian-Eulerian Hydrodynamics
pts/cp2k-1.1.0
Fayalite-FIST Data
pts/dolfyn-1.0.3
Computational Fluid Dynamics
pts/hmmer-1.2.2
Pfam Database Search
pts/incompact3d-1.0.0
examples/Cylinder/input.i3d
Input: Cylinder
pts/mafft-1.6.2
Multiple Sequence Alignment - LSU RNA
pts/mocassin-1.0.0
Input: Dust 2D tau100.0
pts/openfoam-1.0.1
Motorbike 150 60 60
Input: Motorbike 30M
pts/build-ffmpeg-1.0.2
Time To Compile
pts/build-godot-1.0.0
Time To Compile
pts/build2-1.1.0
Time To Compile
pts/build-eigen-1.1.0
Time To Compile
pts/encode-ape-1.4.0
WAV To APE
pts/encode-opus-1.1.1
WAV To Opus Encode
pts/espeak-1.6.1
Text-To-Speech Synthesis
pts/rnnoise-1.0.2
pts/astcenc-1.0.2
-fast
Preset: Fast
pts/astcenc-1.0.2
-medium
Preset: Medium
pts/astcenc-1.0.2
-thorough
Preset: Thorough
pts/astcenc-1.0.2
-exhaustive
Preset: Exhaustive
pts/basis-1.0.2
Settings: ETC1S
pts/basis-1.0.2
-uastc -uastc_level 0
Settings: UASTC Level 0
pts/basis-1.0.2
-uastc -uastc_level 2
Settings: UASTC Level 2
pts/sqlite-speedtest-1.0.1
Timed Time - Size 1,000
system/darktable-1.0.5
bench.SRW output.jpg --core -d perf --disable-opencl
Test: Boat - Acceleration: CPU-only
system/darktable-1.0.5
masskrug.NEF output.jpg --core -d perf --disable-opencl
Test: Masskrug - Acceleration: CPU-only
system/darktable-1.0.5
server-rack.dng output.jpg --core -d perf --disable-opencl
Test: Server Rack - Acceleration: CPU-only
system/darktable-1.0.5
server_room.NEF output.jpg --core -d perf --disable-opencl
Test: Server Room - Acceleration: CPU-only
system/gimp-1.1.2
resize
Test: resize
system/gimp-1.1.2
rotate
Test: rotate
system/gimp-1.1.2
auto-levels
Test: auto-levels
system/gimp-1.1.2
unsharp-mask
Test: unsharp-mask
system/hugin-1.0.0
Panorama Photo Assistant + Stitching Time
system/ocrmypdf-1.0.0
Processing 60 Page PDF Document
system/rawtherapee-1.0.1
Total Benchmark Time
pts/encode-wavpack-1.4.1
WAV To WavPack
pts/sunflow-1.1.3
Global Illumination + Image Synthesis
pts/unpack-firefox-1.0.0
Extracting: firefox-84.0.source.tar.xz
pts/osbench-1.0.2
create_files.exe target
Test: Create Files
pts/osbench-1.0.2
create_threads.exe
Test: Create Threads
pts/osbench-1.0.2
launch_programs.exe
Test: Launch Programs
pts/osbench-1.0.2
create_processes.exe
Test: Create Processes
pts/sockperf-1.0.1
ping-pong
Test: Latency Ping Pong
pts/sockperf-1.0.1
under-load
Test: Latency Under Load