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"
"LeelaChessZero - Backend: BLAS (Nodes/s)",HIB,404,361,297,401
"InfluxDB - Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,786957.3,,773293.4,765195.3
"LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,438,385,338,426
"RealSR-NCNN - Scale: 4x - TAA: No (sec)",LIB,340.778,340.676,340.708,340.664
"NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,6.52438,6.54038,6.54258,6.56050
"NCNN - Target: Vulkan GPU - Model: yolov4-tiny (ms)",LIB,89.97,90.67,90.22,90.85
"NCNN - Target: Vulkan GPU - Model: resnet50 (ms)",LIB,94.98,95.07,95.06,95.12
"NCNN - Target: Vulkan GPU - Model: alexnet (ms)",LIB,40.74,40.81,40.67,40.96
"NCNN - Target: Vulkan GPU - Model: resnet18 (ms)",LIB,41.31,41.28,41.30,41.32
"NCNN - Target: Vulkan GPU - Model: vgg16 (ms)",LIB,347.20,346.42,347.04,346.54
"NCNN - Target: Vulkan GPU - Model: googlenet (ms)",LIB,51.79,51.74,51.68,51.75
"NCNN - Target: Vulkan GPU - Model: blazeface (ms)",LIB,2.96,2.92,2.91,2.92
"NCNN - Target: Vulkan GPU - Model: efficientnet-b0 (ms)",LIB,32.12,32.09,32.14,32.13
"NCNN - Target: Vulkan GPU - Model: mnasnet (ms)",LIB,17.54,17.54,17.5,17.48
"NCNN - Target: Vulkan GPU - Model: shufflenet-v2 (ms)",LIB,9.62,9.65,9.62,9.62
"NCNN - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,17.01,17.03,17.01,17.01
"NCNN - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,16.13,16.11,16.13,16.14
"NCNN - Target: Vulkan GPU - Model: mobilenet (ms)",LIB,42.63,41.68,41.94,41.86
"NCNN - Target: Vulkan GPU - Model: squeezenet (ms)",LIB,62.29,62.25,62.36,62.34
"Timed GDB GNU Debugger Compilation - Time To Compile (sec)",LIB,221.143,220.045,220.567,220.858
"Apache CouchDB - Bulk Size: 100 - Inserts: 1000 - Rounds: 24 (sec)",LIB,190.001,189.309,190.874,191.382
"Mlpack Benchmark - Benchmark: scikit_qda (sec)",LIB,85.77,,85.09,85.82
"InfluxDB - Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,793409.4,,773292.5,782956.1
"Mobile Neural Network - Model: inception-v3 (ms)",LIB,73.864,73.663,73.799,73.987
"Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,9.576,9.554,9.588,9.572
"Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,6.501,6.498,6.523,6.495
"Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,55.444,55.394,55.435,55.445
"Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,12.241,12.206,12.281,12.218
"Zstd Compression - Compression Level: 19 (MB/s)",HIB,14.7,14.7,14.7,14.7
"Hierarchical INTegration - Test: FLOAT (QUIPs)",HIB,303706152.23512,306973101.38034,304370948.43380,306350360.81058
"VkFFT - (Benchmark Score)",HIB,3027,3041,3047,3046
"NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,62.35,62.52,62.33,62.60
"NCNN - Target: CPU - Model: resnet50 (ms)",LIB,62.37,62.66,62.99,62.83
"NCNN - Target: CPU - Model: alexnet (ms)",LIB,25.75,25.59,25.59,25.81
"NCNN - Target: CPU - Model: resnet18 (ms)",LIB,28.68,28.03,28.01,28.19
"NCNN - Target: CPU - Model: vgg16 (ms)",LIB,109.08,109.82,109.31,109.54
"NCNN - Target: CPU - Model: googlenet (ms)",LIB,31.00,30.87,30.73,31.52
"NCNN - Target: CPU - Model: blazeface (ms)",LIB,2.03,2.01,2.04,2.04
"NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,14.81,14.85,14.64,14.69
"NCNN - Target: CPU - Model: mnasnet (ms)",LIB,9.22,9.21,9.15,9.12
"NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,5.78,5.74,5.84,5.83
"NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,8.57,8.58,8.62,8.69
"NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,9.87,9.94,9.89,9.92
"NCNN - Target: CPU - Model: mobilenet (ms)",LIB,43.93,43.91,43.99,44.10
"NCNN - Target: CPU - Model: squeezenet (ms)",LIB,35.33,35.14,35.23,35.85
"Timed HMMer Search - Pfam Database Search (sec)",LIB,128.580,128.751,128.158,128.647
"BYTE Unix Benchmark - Computational Test: Dhrystone 2 (LPS)",HIB,36019319.3,35676027.1,35792059.2,36096294.0
"Caffe - Model: GoogleNet - Acceleration: CPU - Iterations: 100 (ms)",LIB,107710,108035,108044,107984
"MPV - Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only (FPS)",HIB,265.13,266.58,283.48,264.97
"Mlpack Benchmark - Benchmark: scikit_linearridgeregression (sec)",LIB,6.43,,6.40,6.42
"KeyDB - (Ops/sec)",HIB,285622.34,285190.19,276848.47,276710.21
"Zstd Compression - Compression Level: 3 (MB/s)",HIB,2414.0,2430.1,2448.5,2423.4
"Mlpack Benchmark - Benchmark: scikit_ica (sec)",LIB,60.96,61.05,61.18,61.01
"AOM AV1 - Encoder Mode: Speed 6 Realtime (FPS)",HIB,10.17,10.19,10.18,10.1
"LibRaw - Post-Processing Benchmark (Mpix/sec)",HIB,20.23,20.42,20.25,19.95
"WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (Encode Time - sec)",LIB,55.450,55.728,55.509,55.547
"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
"AOM AV1 - Encoder Mode: Speed 6 Two-Pass (FPS)",HIB,2.27,2.26,2.26,2.24
"Caffe - Model: AlexNet - Acceleration: CPU - Iterations: 100 (ms)",LIB,41405,41371,41257,41272
"AOM AV1 - Encoder Mode: Speed 4 Two-Pass (FPS)",HIB,1.39,1.40,1.39,1.39
"MPV - Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only (FPS)",HIB,676.46,677.47,680.10,677.34
"Mlpack Benchmark - Benchmark: scikit_svm (sec)",LIB,22.34,,22.42,22.44
"WebP Image Encode - Encode Settings: Quality 100, Lossless (Encode Time - sec)",LIB,23.348,24.105,23.837,23.727
"RNNoise - (sec)",LIB,22.571,22.357,22.900,22.927
"LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,0.754,0.763,0.770,0.768
"AOM AV1 - Encoder Mode: Speed 8 Realtime (FPS)",HIB,26.95,26.93,27.00,26.85
"Dolfyn - Computational Fluid Dynamics (sec)",LIB,20.923,20.839,20.978,20.916
"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
"Timed MAFFT Alignment - Multiple Sequence Alignment - LSU RNA (sec)",LIB,14.532,14.608,14.340,14.564
"WebP Image Encode - Encode Settings: Quality 100, Highest Compression (Encode Time - sec)",LIB,8.747,8.744,8.727,8.742
"System GZIP Decompression - (sec)",LIB,3.391,3.389,3.387,3.410
"FFTE - N=256, 3D Complex FFT Routine (MFLOPS)",HIB,16224.024066589,16361.802304185,16254.100535113,16267.332790257
"WebP Image Encode - Encode Settings: Quality 100 (Encode Time - sec)",LIB,2.765,2.797,2.763,2.769
"WebP Image Encode - Encode Settings: Default (Encode Time - sec)",LIB,1.820,1.820,1.819,1.820