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,
"LeelaChessZero 0.26 - Backend: BLAS",
Higher Results Are Better
"Linux 5.4",414,406,391
"2",365,342,341,357,366,366,369,371,371
"3",298,270,314,285,297,306,313,303,283
"4",410,401,393
"LeelaChessZero 0.26 - Backend: Eigen",
Higher Results Are Better
"Linux 5.4",436,439,440
"2",392,382,382
"3",335,336,344
"4",432,429,417
"MPV - Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only",
Higher Results Are Better
"Linux 5.4",269.45269693413,264.98399184463,260.96158524955
"2",285.13012214618,264.21246468561,263.35384336921,264.16028791374,264.44056618202,262.398876265,263.62617612944,265.33960453499
"3",285.57280706043,282.73402610605,282.12776031205
"4",269.22861772178,263.68052158157,262.01452336488
"WebP Image Encode 1.1 - Encode Settings: Quality 100, Lossless",
Lower Results Are Better
"Linux 5.4",22.881,23.099,24.064
"2",24.043,24.076,24.197
"3",22.835,24.203,24.07,24.241
"4",23.133,23.947,24.102
"KeyDB 6.0.16 - ",
Higher Results Are Better
"Linux 5.4",284150.11,279089.76,293627.14
"2",291327.28,272551.16,284545.21,292076.82,285450.47
"3",274076.01,272202.25,284267.14
"4",282126.39,273627.94,274376.3
"InfluxDB 1.8.2 - Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000",
Higher Results Are Better
"Linux 5.4",759735.6,803867,809693.1,741109,739999,810134.5,810234.5,807763.2,740429.7,807352.8,807000.1,806169.4
"3",751030.9,807095.8,737867.2,797346.9,790394,786600.5,784613.1,737286.1,737793.8,784118.6,782997.3,782376.1
"4",763470.9,739722.2,808894.2,742630.2,742118.8,809861.2,740494.8,807968.2,739606.6,738495.3,809494.6,739587.1
"InfluxDB 1.8.2 - Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000",
Higher Results Are Better
"Linux 5.4",811823.3,760165.4,799248.4,802400.5
"3",785641,772864.3,761372.3
"4",775946.3,747201,799532,799341.7,792759.6
"NCNN 20200916 - Target: CPU - Model: googlenet",
Lower Results Are Better
"Linux 5.4",30.58,31.2,31.22
"2",30.45,31.34,30.82
"3",30.34,31.15,30.71
"4",32.03,31.28,31.24
"RNNoise 2020-06-28 - ",
Lower Results Are Better
"Linux 5.4",22.292,23.041,22.379
"2",22.268,22.388,22.414
"3",22.298,22.407,23.768,23.126
"4",22.678,23.136,22.966
"NCNN 20200916 - Target: CPU - Model: resnet18",
Lower Results Are Better
"Linux 5.4",27.86,28.21,29.96
"2",27.78,28.06,28.26
"3",27.75,28.09,28.2
"4",27.88,28.24,28.46
"LibRaw 0.20 - Post-Processing Benchmark",
Higher Results Are Better
"Linux 5.4",20.41,19.98,20.29
"2",20.75,20.3,20.2
"3",20.65,20.19,19.9
"4",20.17,19.86,19.81
"NCNN 20200916 - Target: Vulkan GPU - Model: mobilenet",
Lower Results Are Better
"Linux 5.4",43.07,41.55,43.27
"2",41.84,41.62,41.59
"3",42.87,41.34,41.61
"4",41.69,42.1,41.8
"LAMMPS Molecular Dynamics Simulator 24Aug2020 - Model: Rhodopsin Protein",
Higher Results Are Better
"Linux 5.4",0.75,0.756,0.756
"2",0.756,0.76,0.773
"3",0.768,0.769,0.773
"4",0.772,0.758,0.774
"NCNN 20200916 - Target: CPU - Model: squeezenet",
Lower Results Are Better
"Linux 5.4",35.79,35.25,34.94
"2",34.66,35.26,35.49
"3",34.89,35.38,35.41
"4",35.16,36.38,36.01
"Timed MAFFT Alignment 7.471 - Multiple Sequence Alignment - LSU RNA",
Lower Results Are Better
"Linux 5.4",14.622,14.364,14.609
"2",14.322,14.894,14.608
"3",14.429,14.288,14.302
"4",14.516,14.8,14.376
"NCNN 20200916 - Target: CPU - Model: shufflenet-v2",
Lower Results Are Better
"Linux 5.4",5.72,5.83,5.8
"2",5.76,5.72,5.73
"3",5.8,5.86,5.86
"4",5.8,5.85,5.83
"NCNN 20200916 - Target: Vulkan GPU - Model: blazeface",
Lower Results Are Better
"Linux 5.4",3.05,2.91,2.91
"2",2.91,2.93,2.91
"3",2.9,2.91,2.91
"4",2.9,2.93,2.93
"NCNN 20200916 - Target: CPU - Model: blazeface",
Lower Results Are Better
"Linux 5.4",2.02,2.04,2.03
"2",2.01,2.01,2.01
"3",2.04,2.03,2.06
"4",2.03,2.04,2.05
"NCNN 20200916 - Target: CPU - Model: efficientnet-b0",
Lower Results Are Better
"Linux 5.4",14.86,14.78,14.8
"2",14.71,14.87,14.98
"3",14.26,14.75,14.9
"4",14.52,14.83,14.71
"Zstd Compression 1.4.5 - Compression Level: 3",
Higher Results Are Better
"Linux 5.4",2396.1,2402.8,2443
"2",2405.9,2438.2,2446.1
"3",2445.2,2479.4,2420.8
"4",2416.6,2408.3,2445.2
"NCNN 20200916 - Target: CPU-v3-v3 - Model: mobilenet-v3",
Lower Results Are Better
"Linux 5.4",8.47,8.73,8.52
"2",8.55,8.45,8.73
"3",8.61,8.69,8.57
"4",8.67,8.67,8.72
"AOM AV1 2.0 - Encoder Mode: Speed 6 Two-Pass",
Higher Results Are Better
"Linux 5.4",2.27,2.27,2.28
"2",2.25,2.27,2.27
"3",2.26,2.26,2.27
"4",2.22,2.25,2.26
"WebP Image Encode 1.1 - Encode Settings: Quality 100",
Lower Results Are Better
"Linux 5.4",2.77,2.757,2.768
"2",2.852,2.77,2.769
"3",2.769,2.764,2.755
"4",2.779,2.761,2.766
"BYTE Unix Benchmark 3.6 - Computational Test: Dhrystone 2",
Higher Results Are Better
"Linux 5.4",36166211.5,35845070.7,36046675.7
"2",35383657.2,35831530.4,35812893.6
"3",34991819.2,36184815.6,36199542.7
"4",36007738.1,36108412.3,36172731.6
"NCNN 20200916 - Target: CPU - Model: mnasnet",
Lower Results Are Better
"Linux 5.4",9.3,9.14,9.23
"2",9.07,9.31,9.24
"3",9.14,9.05,9.26
"4",9.07,9.11,9.19
"Apache CouchDB 3.1.1 - Bulk Size: 100 - Inserts: 1000 - Rounds: 24",
Lower Results Are Better
"Linux 5.4",186.484,191.944,191.575
"2",187.345,190.825,189.756
"3",187.164,191.602,193.857
"4",188.227,192.231,193.687
"Hierarchical INTegration 1.0 - Test: FLOAT",
Higher Results Are Better
"Linux 5.4",305852295.98337,299402128.73911,305864031.98289
"2",306105969.70172,308887219.31521,305926115.1241
"3",305672854.13695,306581171.32361,300858819.84083
"4",306027970.21127,306376817.93661,306646294.28385
"NCNN 20200916 - Target: CPU - Model: resnet50",
Lower Results Are Better
"Linux 5.4",62.26,62.3,62.56
"2",63.21,61.35,63.41
"3",64.47,61.98,62.51
"4",63.52,62.52,62.44
"NCNN 20200916 - Target: Vulkan GPU - Model: yolov4-tiny",
Lower Results Are Better
"Linux 5.4",90.26,90.43,89.21
"2",91.1,90.47,90.45
"3",89.8,90.42,90.43
"4",90.95,90.59,91.02
"AOM AV1 2.0 - Encoder Mode: Speed 6 Realtime",
Higher Results Are Better
"Linux 5.4",10.35,10.11,10.06
"2",10.42,10.06,10.1
"3",10.32,10.14,10.09
"4",10.2,10.1,10.1
"NCNN 20200916 - Target: CPU - Model: alexnet",
Lower Results Are Better
"Linux 5.4",25.71,25.82,25.72
"2",25.47,25.59,25.7
"3",25.57,25.61,25.6
"4",25.84,25.66,25.93
"Mlpack Benchmark - Benchmark: scikit_qda",
Lower Results Are Better
"Linux 5.4",85.768082380295,85.770671844482
"3",84.778638839722,84.548983573914,85.936346530914
"4",86.001938343048,86.042224407196,85.402282238007
"FFTE 7.0 - N=256, 3D Complex FFT Routine",
Higher Results Are Better
"Linux 5.4",16246.467473485,16277.176591079,16148.428135204
"2",16858.765439716,16065.451516457,16161.189956383
"3",16487.839593262,16238.50567181,16035.956340268
"4",16385.300903275,16349.111890986,16067.585576509
"AOM AV1 2.0 - Encoder Mode: Speed 4 Two-Pass",
Higher Results Are Better
"Linux 5.4",1.39,1.39,1.4
"2",1.4,1.4,1.39
"3",1.39,1.39,1.39
"4",1.38,1.39,1.39
"NCNN 20200916 - Target: Vulkan GPU - Model: alexnet",
Lower Results Are Better
"Linux 5.4",40.23,41.09,40.9
"2",40.49,41.39,40.56
"3",40.97,40.59,40.44
"4",40.91,41.35,40.61
"NCNN 20200916 - Target: CPU-v2-v2 - Model: mobilenet-v2",
Lower Results Are Better
"Linux 5.4",9.89,9.94,9.79
"2",9.9,9.85,10.08
"3",9.89,9.85,9.93
"4",9.86,10.02,9.89
"System GZIP Decompression - ",
Lower Results Are Better
"Linux 5.4",3.431,3.381,3.361
"2",3.435,3.367,3.365
"3",3.461,3.356,3.344
"4",3.509,3.372,3.349
"NCNN 20200916 - Target: CPU - Model: vgg16",
Lower Results Are Better
"Linux 5.4",109.22,108.66,109.35
"2",109.76,110.08,109.62
"3",108.49,109.47,109.98
"4",109.51,109.21,109.89
"Dolfyn 0.527 - Computational Fluid Dynamics",
Lower Results Are Better
"Linux 5.4",21.008,20.967,20.795
"2",20.891,20.806,20.82
"3",20.917,20.824,21.193
"4",20.988,20.913,20.847
"VkFFT 2020-09-29 - ",
Higher Results Are Better
"Linux 5.4",3010,3027,3045
"2",3038,3042,3042
"3",3046,3048,3048
"4",
"Mobile Neural Network 2020-09-17 - Model: SqueezeNetV1.0",
Lower Results Are Better
"Linux 5.4",12.272,12.217,12.234
"2",12.17,12.223,12.225
"3",12.233,12.313,12.296
"4",12.231,12.212,12.21
"AOM AV1 2.0 - Encoder Mode: Speed 8 Realtime",
Higher Results Are Better
"Linux 5.4",26.98,26.96,26.92
"2",26.86,26.96,26.96
"3",27.07,26.96,26.97
"4",26.86,26.76,26.93
"NAMD 2.14 - ATPase Simulation - 327,506 Atoms",
Lower Results Are Better
"Linux 5.4",6.51459,6.51636,6.5422
"2",6.53295,6.53777,6.55042
"3",6.53348,6.55336,6.54091
"4",6.55707,6.56374,6.56068
"MPV - Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only",
Higher Results Are Better
"Linux 5.4",676.03908557454,679.24617097147,674.10562090024
"2",675.33267703092,677.52326877263,679.54759208239
"3",682.12672172318,676.18163732503,681.99786932086
"4",675.92977552425,673.53424582644,682.54596949383
"dcraw - RAW To PPM Image Conversion",
Lower Results Are Better
"Linux 5.4",50.977,50.82,50.96
"2",50.938,50.836,51.049
"3",50.604,50.68,50.741
"4",50.96,50.811,50.848
"WebP Image Encode 1.1 - Encode Settings: Quality 100, Lossless, Highest Compression",
Lower Results Are Better
"Linux 5.4",55.479,55.347,55.525
"2",56.062,55.561,55.561
"3",55.626,55.703,55.198
"4",55.343,55.533,55.766
"Timed GDB GNU Debugger Compilation 9.1 - Time To Compile",
Lower Results Are Better
"Linux 5.4",221.537,220.374,221.518
"2",220.335,219.741,220.058
"3",221.042,220.104,220.556
"4",221.397,220.483,220.693
"Mlpack Benchmark - Benchmark: scikit_linearridgeregression",
Lower Results Are Better
"Linux 5.4",6.4494743347168,6.4103074073792,6.4343464374542
"3",6.4433221817017,6.3469336032867,6.4083278179169
"4",6.4623894691467,6.3762240409851,6.4314608573914
"Timed HMMer Search 3.3.1 - Pfam Database Search",
Lower Results Are Better
"Linux 5.4",128.85,128.786,128.104
"2",127.972,129.778,128.503
"3",128.284,128.622,127.568
"4",128.879,128.444,128.617
"Mlpack Benchmark - Benchmark: scikit_svm",
Lower Results Are Better
"Linux 5.4",22.316609621048,22.331800699234,22.361674308777
"3",22.410562992096,22.450499534607,22.4127202034
"4",22.443046331406,22.469362258911,22.3937022686
"Mobile Neural Network 2020-09-17 - Model: inception-v3",
Lower Results Are Better
"Linux 5.4",73.421,74.417,73.753
"2",73.174,73.485,74.331
"3",73.681,73.944,73.772
"4",73.633,74.246,74.082
"NCNN 20200916 - Target: CPU - Model: yolov4-tiny",
Lower Results Are Better
"Linux 5.4",62.03,62.48,62.55
"2",62.39,62.47,62.7
"3",62.21,62.34,62.43
"4",62.57,62.67,62.56
"NCNN 20200916 - Target: CPU - Model: mobilenet",
Lower Results Are Better
"Linux 5.4",44.05,44.12,43.63
"2",43.92,44.09,43.72
"3",43.96,44.04,43.96
"4",44.27,44.03,44.01
"Mobile Neural Network 2020-09-17 - Model: MobileNetV2_224",
Lower Results Are Better
"Linux 5.4",6.488,6.497,6.518
"2",6.507,6.495,6.493
"3",6.527,6.527,6.514
"4",6.489,6.495,6.501
"eSpeak-NG Speech Engine 20200907 - Text-To-Speech Synthesis",
Lower Results Are Better
"Linux 5.4",34.488,34.759,34.678,35.002
"2",34.986,34.73,34.626,34.624
"3",34.659,34.549,34.604,34.698
"4",34.765,34.806,34.64,34.818
"Mlpack Benchmark - Benchmark: scikit_ica",
Lower Results Are Better
"Linux 5.4",59.941457509995,61.343652248383,61.592810153961
"2",59.77608537674,61.541420936584,61.833147525787
"3",60.399657964706,61.54350399971,61.598579406738
"4",59.57798910141,61.554200172424,61.901942491531
"Caffe 2020-02-13 - Model: AlexNet - Acceleration: CPU - Iterations: 100",
Lower Results Are Better
"Linux 5.4",41390,41192,41634
"2",41378,41311,41423
"3",41382,41037,41352
"4",40919,41569,41327
"Mobile Neural Network 2020-09-17 - Model: mobilenet-v1-1.0",
Lower Results Are Better
"Linux 5.4",9.525,9.588,9.614
"2",9.529,9.571,9.563
"3",9.568,9.607,9.589
"4",9.538,9.591,9.587
"NCNN 20200916 - Target: Vulkan GPU - Model: mnasnet",
Lower Results Are Better
"Linux 5.4",17.52,17.51,17.58
"2",17.57,17.58,17.47
"3",17.5,17.5,17.5
"4",17.47,17.49,17.49
"NCNN 20200916 - Target: Vulkan GPU - Model: shufflenet-v2",
Lower Results Are Better
"Linux 5.4",9.63,9.66,9.56
"2",9.68,9.68,9.58
"3",9.6,9.64,9.62
"4",9.65,9.58,9.64
"Caffe 2020-02-13 - Model: GoogleNet - Acceleration: CPU - Iterations: 100",
Lower Results Are Better
"Linux 5.4",107614,107282,108235
"2",107909,108138,108059
"3",108212,108537,107382
"4",108505,107723,107725
"TNN 0.2.3 - Target: CPU - Model: MobileNet v2",
Lower Results Are Better
"Linux 5.4",291.29,291.478,291.973
"2",292.192,291.636,291.174
"3",291.235,291.635,291.362
"4",292.207,292.394,291.755
"WebP Image Encode 1.1 - Encode Settings: Quality 100, Highest Compression",
Lower Results Are Better
"Linux 5.4",8.747,8.749,8.745
"2",8.734,8.735,8.764
"3",8.726,8.731,8.723
"4",8.757,8.741,8.727
"NCNN 20200916 - Target: Vulkan GPU - Model: vgg16",
Lower Results Are Better
"Linux 5.4",346.58,347.15,347.88
"2",346.06,347.21,345.99
"3",347.12,346.96,347.05
"4",346.36,346.48,346.78
"NCNN 20200916 - Target: Vulkan GPU - Model: googlenet",
Lower Results Are Better
"Linux 5.4",51.85,51.77,51.75
"2",51.73,51.81,51.68
"3",51.66,51.69,51.69
"4",51.74,51.8,51.7
"NCNN 20200916 - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2",
Lower Results Are Better
"Linux 5.4",16.14,16.12,16.12
"2",16.07,16.17,16.08
"3",16.09,16.14,16.17
"4",16.18,16.17,16.06
"NCNN 20200916 - Target: Vulkan GPU - Model: squeezenet",
Lower Results Are Better
"Linux 5.4",62.61,62.42,61.85
"2",62.16,62.13,62.46
"3",62.92,62.49,61.68
"4",62.21,62.28,62.52
"NCNN 20200916 - Target: Vulkan GPU - Model: efficientnet-b0",
Lower Results Are Better
"Linux 5.4",32.13,32.08,32.16
"2",32.06,32.09,32.12
"3",32.11,32.19,32.12
"4",32.15,32.19,32.04
"NCNN 20200916 - Target: Vulkan GPU - Model: resnet50",
Lower Results Are Better
"Linux 5.4",94.93,95.01,95
"2",95.04,95.06,95.11
"3",95.14,95,95.04
"4",95.1,95.12,95.13
"TNN 0.2.3 - Target: CPU - Model: SqueezeNet v1.1",
Lower Results Are Better
"Linux 5.4",288.841,288.406,289.184
"2",288.553,288.52,288.196
"3",288.492,288.551,288.456
"4",288.623,288.367,288.481
"NCNN 20200916 - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3",
Lower Results Are Better
"Linux 5.4",17.05,17.02,16.96
"2",17.08,17.05,16.97
"3",17,17.01,17.01
"4",16.99,17.05,16.99
"NCNN 20200916 - Target: Vulkan GPU - Model: resnet18",
Lower Results Are Better
"Linux 5.4",41.3,41.28,41.34
"2",41.26,41.33,41.25
"3",41.26,41.32,41.33
"4",41.38,41.39,41.19
"Mobile Neural Network 2020-09-17 - Model: resnet-v2-50",
Lower Results Are Better
"Linux 5.4",55.507,55.401,55.424
"2",55.293,55.477,55.413
"3",55.321,55.42,55.563
"4",55.5,55.417,55.419
"WebP Image Encode 1.1 - Encode Settings: Default",
Lower Results Are Better
"Linux 5.4",1.816,1.824,1.821
"2",1.82,1.82,1.821
"3",1.817,1.82,1.821
"4",1.818,1.823,1.818
"RealSR-NCNN 20200818 - Scale: 4x - TAA: No",
Lower Results Are Better
"Linux 5.4",340.966,340.652,340.717
"2",340.707,340.638,340.683
"3",340.837,340.629,340.659
"4",340.673,340.692,340.628
"Zstd Compression 1.4.5 - Compression Level: 19",
Higher Results Are Better
"Linux 5.4",14.7,14.7,14.7
"2",14.7,14.7,14.7
"3",14.7,14.7,14.7
"4",14.7,14.7,14.7