AMD Ryzen 3 2200G testing with a ASUS PRIME B350M-E (5220 BIOS) and ASUS AMD Radeon Vega / Mobile 2GB on Ubuntu 20.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2010029-FI-RYZEN322054
Ryzen 3 2200G Oct
AMD Ryzen 3 2200G testing with a ASUS PRIME B350M-E (5220 BIOS) and ASUS AMD Radeon Vega / Mobile 2GB on Ubuntu 20.04 via the Phoronix Test Suite.
,,"Linux 5.4","2","3","4"
Processor,,AMD Ryzen 3 2200G @ 3.50GHz (4 Cores),AMD Ryzen 3 2200G @ 3.50GHz (4 Cores),AMD Ryzen 3 2200G @ 3.50GHz (4 Cores),AMD Ryzen 3 2200G @ 3.50GHz (4 Cores)
Motherboard,,ASUS PRIME B350M-E (5220 BIOS),ASUS PRIME B350M-E (5220 BIOS),ASUS PRIME B350M-E (5220 BIOS),ASUS PRIME B350M-E (5220 BIOS)
Chipset,,AMD Raven/Raven2,AMD Raven/Raven2,AMD Raven/Raven2,AMD Raven/Raven2
Memory,,6GB,6GB,6GB,6GB
Disk,,Samsung SSD 970 EVO 250GB,Samsung SSD 970 EVO 250GB,Samsung SSD 970 EVO 250GB,Samsung SSD 970 EVO 250GB
Graphics,,ASUS AMD Radeon Vega / Mobile 2GB (1100/1600MHz),ASUS AMD Radeon Vega / Mobile 2GB (1100/1600MHz),ASUS AMD Radeon Vega / Mobile 2GB (1100/1600MHz),ASUS AMD Radeon Vega / Mobile 2GB (1100/1600MHz)
Audio,,AMD Raven/Raven2/Fenghuang,AMD Raven/Raven2/Fenghuang,AMD Raven/Raven2/Fenghuang,AMD Raven/Raven2/Fenghuang
Monitor,,G237HL,G237HL,G237HL,G237HL
Network,,Realtek RTL8111/8168/8411,Realtek RTL8111/8168/8411,Realtek RTL8111/8168/8411,Realtek RTL8111/8168/8411
OS,,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04
Kernel,,5.4.0-45-generic (x86_64),5.4.0-45-generic (x86_64),5.4.0-48-generic (x86_64),5.4.0-48-generic (x86_64)
Desktop,,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4
Display Server,,X Server 1.20.5,X Server 1.20.5,X Server 1.20.5,X Server 1.20.5
Display Driver,,modesetting 1.20.5,modesetting 1.20.5,modesetting 1.20.5,modesetting 1.20.5
OpenGL,,4.6 Mesa 20.0.4 (LLVM 9.0.1),4.6 Mesa 20.0.4 (LLVM 9.0.1),4.6 Mesa 20.0.4 (LLVM 9.0.1),4.6 Mesa 20.0.4 (LLVM 9.0.1)
Vulkan,,1.2.128,1.2.128,1.2.128,1.2.128
Compiler,,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0
File-System,,ext4,ext4,ext4,ext4
Screen Resolution,,1920x1080,1920x1080,1920x1080,1920x1080
,,"Linux 5.4","2","3","4"
"VkFFT - (Benchmark Score)",HIB,3027,3041,3047,3046
"MPV - Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only (FPS)",HIB,265.13,266.58,283.48,264.97
"MPV - Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only (FPS)",HIB,676.46,677.47,680.10,677.34
"AOM AV1 - Encoder Mode: Speed 4 Two-Pass (FPS)",HIB,1.39,1.40,1.39,1.39
"AOM AV1 - Encoder Mode: Speed 6 Realtime (FPS)",HIB,10.17,10.19,10.18,10.1
"AOM AV1 - Encoder Mode: Speed 6 Two-Pass (FPS)",HIB,2.27,2.26,2.26,2.24
"AOM AV1 - Encoder Mode: Speed 8 Realtime (FPS)",HIB,26.95,26.93,27.00,26.85
"BYTE Unix Benchmark - Computational Test: Dhrystone 2 (LPS)",HIB,36019319.3,35676027.1,35792059.2,36096294.0
"Zstd Compression - Compression Level: 3 (MB/s)",HIB,2414.0,2430.1,2448.5,2423.4
"Zstd Compression - Compression Level: 19 (MB/s)",HIB,14.7,14.7,14.7,14.7
"FFTE - N=256, 3D Complex FFT Routine (MFLOPS)",HIB,16224.024066589,16361.802304185,16254.100535113,16267.332790257
"LibRaw - Post-Processing Benchmark (Mpix/sec)",HIB,20.23,20.42,20.25,19.95
"LeelaChessZero - Backend: BLAS (Nodes/s)",HIB,404,361,297,401
"LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,438,385,338,426
"LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,0.754,0.763,0.770,0.768
"KeyDB - (Ops/sec)",HIB,285622.34,285190.19,276848.47,276710.21
"Hierarchical INTegration - Test: FLOAT (QUIPs)",HIB,303706152.23512,306973101.38034,304370948.43380,306350360.81058
"InfluxDB - Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,786957.3,,773293.4,765195.3
"InfluxDB - Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,793409.4,,773292.5,782956.1
"NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,6.52438,6.54038,6.54258,6.56050
"WebP Image Encode - Encode Settings: Default (Encode Time - sec)",LIB,1.820,1.820,1.819,1.820
"WebP Image Encode - Encode Settings: Quality 100 (Encode Time - sec)",LIB,2.765,2.797,2.763,2.769
"WebP Image Encode - Encode Settings: Quality 100, Lossless (Encode Time - sec)",LIB,23.348,24.105,23.837,23.727
"WebP Image Encode - Encode Settings: Quality 100, Highest Compression (Encode Time - sec)",LIB,8.747,8.744,8.727,8.742
"WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (Encode Time - sec)",LIB,55.450,55.728,55.509,55.547
"Caffe - Model: AlexNet - Acceleration: CPU - Iterations: 100 (ms)",LIB,41405,41371,41257,41272
"Caffe - Model: GoogleNet - Acceleration: CPU - Iterations: 100 (ms)",LIB,107710,108035,108044,107984
"Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,12.241,12.206,12.281,12.218
"Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,55.444,55.394,55.435,55.445
"Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,6.501,6.498,6.523,6.495
"Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,9.576,9.554,9.588,9.572
"Mobile Neural Network - Model: inception-v3 (ms)",LIB,73.864,73.663,73.799,73.987
"NCNN - Target: CPU - Model: squeezenet (ms)",LIB,35.33,35.14,35.23,35.85
"NCNN - Target: CPU - Model: mobilenet (ms)",LIB,43.93,43.91,43.99,44.10
"NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,9.87,9.94,9.89,9.92
"NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,8.57,8.58,8.62,8.69
"NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,5.78,5.74,5.84,5.83
"NCNN - Target: CPU - Model: mnasnet (ms)",LIB,9.22,9.21,9.15,9.12
"NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,14.81,14.85,14.64,14.69
"NCNN - Target: CPU - Model: blazeface (ms)",LIB,2.03,2.01,2.04,2.04
"NCNN - Target: CPU - Model: googlenet (ms)",LIB,31.00,30.87,30.73,31.52
"NCNN - Target: CPU - Model: vgg16 (ms)",LIB,109.08,109.82,109.31,109.54
"NCNN - Target: CPU - Model: resnet18 (ms)",LIB,28.68,28.03,28.01,28.19
"NCNN - Target: CPU - Model: alexnet (ms)",LIB,25.75,25.59,25.59,25.81
"NCNN - Target: CPU - Model: resnet50 (ms)",LIB,62.37,62.66,62.99,62.83
"NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,62.35,62.52,62.33,62.60
"NCNN - Target: Vulkan GPU - Model: squeezenet (ms)",LIB,62.29,62.25,62.36,62.34
"NCNN - Target: Vulkan GPU - Model: mobilenet (ms)",LIB,42.63,41.68,41.94,41.86
"NCNN - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,16.13,16.11,16.13,16.14
"NCNN - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,17.01,17.03,17.01,17.01
"NCNN - Target: Vulkan GPU - Model: shufflenet-v2 (ms)",LIB,9.62,9.65,9.62,9.62
"NCNN - Target: Vulkan GPU - Model: mnasnet (ms)",LIB,17.54,17.54,17.5,17.48
"NCNN - Target: Vulkan GPU - Model: efficientnet-b0 (ms)",LIB,32.12,32.09,32.14,32.13
"NCNN - Target: Vulkan GPU - Model: blazeface (ms)",LIB,2.96,2.92,2.91,2.92
"NCNN - Target: Vulkan GPU - Model: googlenet (ms)",LIB,51.79,51.74,51.68,51.75
"NCNN - Target: Vulkan GPU - Model: vgg16 (ms)",LIB,347.20,346.42,347.04,346.54
"NCNN - Target: Vulkan GPU - Model: resnet18 (ms)",LIB,41.31,41.28,41.30,41.32
"NCNN - Target: Vulkan GPU - Model: alexnet (ms)",LIB,40.74,40.81,40.67,40.96
"NCNN - Target: Vulkan GPU - Model: resnet50 (ms)",LIB,94.98,95.07,95.06,95.12
"NCNN - Target: Vulkan GPU - Model: yolov4-tiny (ms)",LIB,89.97,90.67,90.22,90.85
"TNN - Target: CPU - Model: MobileNet v2 (ms)",LIB,291.580,291.667,291.411,292.119
"TNN - Target: CPU - Model: SqueezeNet v1.1 (ms)",LIB,288.810,288.423,288.500,288.490
"RealSR-NCNN - Scale: 4x - TAA: No (sec)",LIB,340.778,340.676,340.708,340.664
"Dolfyn - Computational Fluid Dynamics (sec)",LIB,20.923,20.839,20.978,20.916
"Timed HMMer Search - Pfam Database Search (sec)",LIB,128.580,128.751,128.158,128.647
"Timed MAFFT Alignment - Multiple Sequence Alignment - LSU RNA (sec)",LIB,14.532,14.608,14.340,14.564
"Timed GDB GNU Debugger Compilation - Time To Compile (sec)",LIB,221.143,220.045,220.567,220.858
"dcraw - RAW To PPM Image Conversion (sec)",LIB,50.919,50.941,50.675,50.873
"eSpeak-NG Speech Engine - Text-To-Speech Synthesis (sec)",LIB,34.732,34.742,34.628,34.757
"RNNoise - (sec)",LIB,22.571,22.357,22.900,22.927
"System GZIP Decompression - (sec)",LIB,3.391,3.389,3.387,3.410
"Apache CouchDB - Bulk Size: 100 - Inserts: 1000 - Rounds: 24 (sec)",LIB,190.001,189.309,190.874,191.382
"Mlpack Benchmark - Benchmark: scikit_ica (sec)",LIB,60.96,61.05,61.18,61.01
"Mlpack Benchmark - Benchmark: scikit_qda (sec)",LIB,85.77,,85.09,85.82
"Mlpack Benchmark - Benchmark: scikit_svm (sec)",LIB,22.34,,22.42,22.44
"Mlpack Benchmark - Benchmark: scikit_linearridgeregression (sec)",LIB,6.43,,6.40,6.42