AMD Ryzen 9 3900X 12-Core testing with a ASUS TUF GAMING X570-PLUS (WI-FI) (2203 BIOS) and MSI AMD Radeon RX 470/480/570/570X/580/580X/590 8GB 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 2009250-PTS-3900XNEW05
3900X New Tests,
"OSBench - Test: Memory Allocations",
Lower Results Are Better
"1",65.074921,65.601826,65.618992
"2",68.356037,68.711042,68.563938
"3",68.045855,68.511009,67.760944
"WebP Image Encode 1.1 - Encode Settings: Quality 100, Lossless, Highest Compression",
Lower Results Are Better
"1",31.758,31.992,32.301
"2",32.296,31.949,33.353
"3",32.513,33.456,33.309
"OSBench - Test: Create Files",
Lower Results Are Better
"1",11.834637,12.488875,12.177036
"2",12.18508,12.554768,12.522232
"3",11.935332,11.967424,12.250143
"WebP Image Encode 1.1 - Encode Settings: Quality 100",
Lower Results Are Better
"1",2.236,2.276,2.209
"2",2.158,2.21,2.158
"3",2.198,2.24,2.232
"OpenCV 4.4 - Test: Object Detection",
Lower Results Are Better
"1",66879,67645,64452
"2",63115,65548,66357
"3",61784,65429,61294,67655,61332,63989,66900,67331,66013,70636,67469,72552,67193,68946,72831
"dcraw - RAW To PPM Image Conversion",
Lower Results Are Better
"1",38.603,40.835,39.077
"2",38.583,38.503,40.17
"3",38.493,38.556,38.452
"NCNN 20200916 - Target: CPU - Model: squeezenet",
Lower Results Are Better
"1",16.26,16.34,16.36
"2",15.99,15.66,16.14
"3",16.34,15.89,16.07
"OSBench - Test: Create Processes",
Lower Results Are Better
"1",32.408237,32.980442,34.089088
"2",33.152103,32.479763,32.730103
"3",32.78017,32.479763,31.859875
"WebP Image Encode 1.1 - Encode Settings: Quality 100, Highest Compression",
Lower Results Are Better
"1",6.87,6.867,7.096
"2",6.887,7.141,6.693,7.031
"3",6.87,6.719,6.75
"WebP Image Encode 1.1 - Encode Settings: Quality 100, Lossless",
Lower Results Are Better
"1",15.198,15.225,15.746
"2",15.499,15.918,15.211
"3",15.34,15.069,15.202
"OSBench - Test: Launch Programs",
Lower Results Are Better
"1",40.87925,42.319298,42.01889
"2",41.601658,40.62891,40.509701
"3",41.749477,40.850639,40.380955
"NCNN 20200916 - Target: Vulkan GPU - Model: resnet50",
Lower Results Are Better
"1",7.65,7.85,7.78,7.58,7.7,7.66,7.73
"2",7.93,7.77,7.53
"3",7.85,7.87,7.83
"NCNN 20200916 - Target: Vulkan GPU - Model: squeezenet",
Lower Results Are Better
"1",5.61,5.73,6.07,5.63,5.63,5.65,5.62
"2",5.65,5.64,5.66
"3",5.61,5.6,5.63
"NCNN 20200916 - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2",
Lower Results Are Better
"1",2.95,2.87,2.86,2.93,2.92,2.92,2.88
"2",2.93,2.93,2.92
"3",2.94,2.79,2.92
"TNN 0.2.3 - Target: CPU - Model: MobileNet v2",
Lower Results Are Better
"1",254.513,253.772,253.614
"2",247.267,250.318,252.645
"3",250.171,250.977,255.314
"WebP Image Encode 1.1 - Encode Settings: Default",
Lower Results Are Better
"1",1.485,1.407,1.482,1.447
"2",1.452,1.461,1.387
"3",1.476,1.402,1.458
"NCNN 20200916 - Target: CPU - Model: mobilenet",
Lower Results Are Better
"1",16.87,16.56,16.62
"2",16.35,16.35,16.58
"3",16.62,16.31,16.68
"NCNN 20200916 - Target: Vulkan GPU - Model: efficientnet-b0",
Lower Results Are Better
"1",10.9,11.01,10.88,11.1,11.05,11.06,11.21
"2",10.95,10.85,10.91
"3",10.89,11.15,11.13
"NCNN 20200916 - Target: CPU - Model: yolov4-tiny",
Lower Results Are Better
"1",28.85,28.68,28.58
"2",28.35,28.08,28.58
"3",28.48,28.58,28.58
"TNN 0.2.3 - Target: CPU - Model: SqueezeNet v1.1",
Lower Results Are Better
"1",232.908,234.335,233.198
"2",233.698,233.71,233.066
"3",230.493,229.295,232.132
"NCNN 20200916 - Target: Vulkan GPU - Model: resnet18",
Lower Results Are Better
"1",2.75,2.73,2.71,2.75,2.73,2.73,2.74
"2",2.73,2.84,2.72
"3",2.73,2.73,2.73
"NCNN 20200916 - Target: Vulkan GPU - Model: blazeface",
Lower Results Are Better
"1",0.94,0.92,0.94,0.95,0.91,0.9,0.95
"2",0.94,0.94,0.91
"3",0.94,0.94,0.93
"LibRaw 0.20 - Post-Processing Benchmark",
Higher Results Are Better
"1",42.33,42.4,42.54
"2",42.41,42.02,42.52
"3",42.72,42.85,42.66
"NCNN 20200916 - Target: Vulkan GPU - Model: mobilenet",
Lower Results Are Better
"1",6.1,6.1,6.05,6.29,6.08,6.1,6.08
"2",6,6.07,6.08
"3",6.03,6.05,6.1
"NCNN 20200916 - Target: CPU - Model: resnet18",
Lower Results Are Better
"1",16.19,16.7,16.31
"2",16.18,16.52,16.22
"3",16.43,16.59,16.29
"eSpeak-NG Speech Engine 20200907 - Text-To-Speech Synthesis",
Lower Results Are Better
"1",26.566,27.033,28.573,27.159,27.157
"2",27.29,27.806,27.086,27.083
"3",27.541,26.979,27.392,28.14
"MPV - Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only",
Higher Results Are Better
"1",2357.626322819,2335.8059271372,2342.3416215651
"2",2311.9259425058,2344.6592270335,2346.493225995
"3",2321.4859697109,2347.1654865325,2313.8882668138
"NCNN 20200916 - Target: CPU-v2-v2 - Model: mobilenet-v2",
Lower Results Are Better
"1",5.38,5.49,5.47
"2",5.42,5.4,5.42
"3",5.38,5.46,5.45
"NCNN 20200916 - Target: CPU - Model: googlenet",
Lower Results Are Better
"1",17.02,17.29,17.18
"2",16.91,17.25,17.24
"3",17.19,17.54,17.01
"NCNN 20200916 - Target: Vulkan GPU - Model: mnasnet",
Lower Results Are Better
"1",3.05,3.08,3.08,3.06,3.03,3.05,3.05
"2",3.04,3.04,3.05
"3",3.09,3.03,3.07
"NCNN 20200916 - Target: CPU - Model: alexnet",
Lower Results Are Better
"1",16.23,16.24,16.25
"2",16.22,16.48,16.23
"3",16.12,16.29,16.22
"NCNN 20200916 - Target: Vulkan GPU - Model: vgg16",
Lower Results Are Better
"1",14.95,15.15,15.01,15.35,15.01,15.05,15.53
"2",15.09,15.11,15.12
"3",14.89,15.33,14.95
"NCNN 20200916 - Target: CPU - Model: vgg16",
Lower Results Are Better
"1",66.91,67.31,67.3
"2",67.34,66.27,67.34
"3",67.42,67.82,66.87
"NCNN 20200916 - Target: CPU - Model: blazeface",
Lower Results Are Better
"1",1.94,1.95,1.97
"2",1.96,1.95,1.97
"3",1.94,1.98,1.97
"NCNN 20200916 - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3",
Lower Results Are Better
"1",4.06,4.08,4.08,4.07,4.05,4.07,4.07
"2",4.09,4.06,4.08
"3",4.11,4.09,4.08
"NCNN 20200916 - Target: Vulkan GPU - Model: yolov4-tiny",
Lower Results Are Better
"1",8.63,8.64,8.58,8.57,8.63,8.6,8.59
"2",8.53,8.6,8.59
"3",8.56,8.56,8.63
"NCNN 20200916 - Target: CPU - Model: mnasnet",
Lower Results Are Better
"1",4.86,4.85,4.85
"2",4.82,4.84
"3",4.82,4.85,4.84
"NCNN 20200916 - Target: CPU - Model: shufflenet-v2",
Lower Results Are Better
"1",4.87,4.93,4.89
"2",4.92,4.87,4.92
"3",4.87,4.88,4.9
"NCNN 20200916 - Target: Vulkan GPU - Model: shufflenet-v2",
Lower Results Are Better
"1",2.52,2.48,2.47,2.49,2.47,2.49,2.49
"2",2.48,2.48,2.48
"3",2.49,2.47,2.5
"MPV - Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only",
Higher Results Are Better
"1",702.7489706666,698.36740347957,693.13563736955
"2",700.16067356298,701.71814530389,700.13377985131
"3",697.10875549406,698.9574137369,697.66084542797
"NCNN 20200916 - Target: CPU - Model: efficientnet-b0",
Lower Results Are Better
"1",6.62,6.67,6.66
"2",6.57,6.72,6.59
"3",6.55,6.7,6.65
"InfluxDB 1.8.2 - Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000",
Higher Results Are Better
"1",1471228.2,1472192.4,1472635
"2",1471628.2,1465141,1467497.8
"3",1476459.5,1466936.3,1471813.5
"InfluxDB 1.8.2 - Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000",
Higher Results Are Better
"1",1313406.6,1307465.6,1310471.6
"2",1310259.9,1313985.8,1314914.3
"3",1310868.3,1311076.3,1319682.6
"RealSR-NCNN 20200818 - Scale: 4x - TAA: Yes",
Lower Results Are Better
"1",110.462,112.01,112.454
"2",110.451,112.104,113.22
"3",110.509,111.912,112.668
"RealSR-NCNN 20200818 - Scale: 4x - TAA: No",
Lower Results Are Better
"1",15.554,15.517,15.669
"2",15.62,15.514,15.68
"3",15.607,15.609,15.631
"NCNN 20200916 - Target: CPU-v3-v3 - Model: mobilenet-v3",
Lower Results Are Better
"1",4.76,4.79,4.78
"2",4.78,4.79,4.81
"3",4.78,4.78,4.78
"InfluxDB 1.8.2 - Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000",
Higher Results Are Better
"1",1449934.4,1439437.9,1445211.9
"2",1446104.3,1450122,1446079.6
"3",1450387.8,1441999.9,1443655
"NCNN 20200916 - Target: Vulkan GPU - Model: googlenet",
Lower Results Are Better
"1",6.23,6.22,6.25,6.36,6.41,6.43
"2",6.23,6.37,6.38
"3",6.24,6.42,6.3
"NCNN 20200916 - Target: Vulkan GPU - Model: alexnet",
Lower Results Are Better
"1",5.56,5.59,5.55,5.58,5.67,5.56,5.57
"2",5.58,5.58,5.59
"3",5.59,5.57,5.57
"OpenCV 4.4 - Test: DNN - Deep Neural Network",
Lower Results Are Better
"1",4758,3297,3417,4857,4155,4114,3872,3897,3556,4373,5349,4690,4357,5674,5395
"2",4995,4432,4920,3950,4065,4381,3946,3778,5356,4359,4318,3746
"3",4626,3993,4498,4394,5073,4174,3686,5486,4100,4975,4535,4423,5022,3863,3797
"OpenCV 4.4 - Test: Features 2D",
Lower Results Are Better
"1",131387,154205,144575,141485,140722,157926,155108,137927,146590,134232,145002,129318
"2",137246,139307,147839,141106,132356,130419,142517,135657,131749,135829,130975,124693
"3",134297,142174,146524,136352,142288,160501,139563,145628,148718,145105,130704,143667
"NCNN 20200916 - Target: CPU - Model: resnet50",
Lower Results Are Better
"1",188.66,27.85,27.47
"2",27.26,27.09,27.37
"3",27.85,27.95,27.26
"OSBench - Test: Create Threads",
Lower Results Are Better
"1",13.899803,14.228821,14.059544
"2",11.749268,11.229515,13.990402,12.090206,11.1413,14.04047,13.608932,14.541149,11.138916,13.670921,13.859272,14.081001,11.210442,11.131763,10.819435
"3",10.631084,13.990402,11.510849,12.040138,13.949871,11.100769,13.918877,11.379719,13.899803,13.878345,11.191368,13.921261,10.871887,14.31942,11.000633