AMD Ryzen 9 3950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS) and NVIDIA GeForce RTX 2080 Ti 11GB 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 2009247-FI-AMDRYZEN924
AMD Ryzen 9 3950X Ubuntu Linux,
"LibRaw 0.20 - Post-Processing Benchmark",
Higher Results Are Better
"Run 1",35.31,35.27,35.32
"Run 2",35.31,34.97,34.66
"Run 3",35.18,34.89,35.08
"WebP Image Encode 1.1 - Encode Settings: Default",
Lower Results Are Better
"Run 1",1.483,1.476,1.408
"Run 2",1.471,1.392,1.41
"Run 3",1.393,1.426,1.459
"WebP Image Encode 1.1 - Encode Settings: Quality 100",
Lower Results Are Better
"Run 1",2.173,2.254,2.247
"Run 2",2.159,2.239,2.237
"Run 3",2.248,2.251,2.139
"WebP Image Encode 1.1 - Encode Settings: Quality 100, Lossless",
Lower Results Are Better
"Run 1",16.083,15.193,15.089,15.78,15.382
"Run 2",16.079,15.842,15.707
"Run 3",15.21,15.918,15.269
"WebP Image Encode 1.1 - Encode Settings: Quality 100, Highest Compression",
Lower Results Are Better
"Run 1",6.734,6.765,6.656
"Run 2",6.952,6.747,6.734
"Run 3",7.011,6.73,6.996
"WebP Image Encode 1.1 - Encode Settings: Quality 100, Lossless, Highest Compression",
Lower Results Are Better
"Run 1",33.124,31.888,32
"Run 2",32.973,33.341,32.322
"Run 3",33.07,32.924,32.546
"eSpeak-NG Speech Engine 20200907 - Text-To-Speech Synthesis",
Lower Results Are Better
"Run 1",26.536,26.918,26.834,26.826
"Run 2",26.657,26.75,26.67,26.341
"Run 3",26.202,26.282,26.221,27.258
"PlaidML - FP16: No - Mode: Training - Network: Mobilenet - Device: OpenCL",
Higher Results Are Better
"Run 1",187.94,187.72,187.55
"Run 2",187.77,187.61,187.51
"Run 3",187.95,187.81,187.77
"PlaidML - FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL",
Higher Results Are Better
"Run 1",744.55,751.02,752.65
"Run 2",754.97,755.22,743.98
"Run 3",745.78,750.7,744.72
"PlaidML - FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL",
Higher Results Are Better
"Run 1",2411.28,2402.88,2415.42
"Run 2",2425.78,2419.26,2419.19
"Run 3",2414.55,2408.94,2421.39
"PlaidML - FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL",
Higher Results Are Better
"Run 1",2755.25,2746.98,2748.32
"Run 2",2765.82,2764.6,2758.74
"Run 3",2758.23,2755.27,2757.27
"PlaidML - FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL",
Higher Results Are Better
"Run 1",213.47,213.42,213.41
"Run 2",212.66,212.61,212.26
"Run 3",212.66,212.45,211.96
"LeelaChessZero 0.26 - Backend: OpenCL",
Higher Results Are Better
"Run 1",11850,11573,11655
"Run 2",11539,11704,11775
"Run 3",11735,11644,11593
"OpenCV 4.4 - Test: Features 2D",
Lower Results Are Better
"Run 1",148784,145083,138782,147142,154765,147889,142841,164231,153941,153306,144175,155170
"Run 2",153072,142268,145980,167584,138683,144628,146613,146021,145693
"Run 3",173376,138957,133635,136667,147166,151527,162464,135200,150188,141592,157672,150032
"OpenCV 4.4 - Test: Object Detection",
Lower Results Are Better
"Run 1",37000,38155,37018
"Run 2",35525,36774,37120
"Run 3",35101,35796,33788
"Rodinia 3.1 - Test: OpenCL Particle Filter",
Lower Results Are Better
"Run 1",4.469,4.538,4.449
"Run 2",4.463,4.484,4.429
"Run 3",4.48,4.486,4.432
"ArrayFire 3.7 - Test: Conjugate Gradient OpenCL",
Lower Results Are Better
"Run 1",1.672,1.672,1.683
"Run 2",1.677,1.668,1.667
"Run 3",1.654,1.658,1.674
"OSBench - Test: Create Files",
Lower Results Are Better
"Run 1",11.27404,11.132082,11.15641
"Run 2",10.601703,10.604635,10.567658
"Run 3",10.920742,10.864635,10.588366
"OSBench - Test: Create Threads",
Lower Results Are Better
"Run 1",12.710094,14.078617,13.289452,13.158321,12.948513,14.06908,15.630722,14.610291,13.33952,13.329983,15.518665,13.170242,15.718937,13.020039,13.730526
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"Run 3",13.310909,13.179779,15.649796,15.7094,13.289452,12.6791,15.621185,13.098717,15.439987,13.029575,14.090538,13.101101,15.358925,14.510155,12.95805
"OSBench - Test: Launch Programs",
Lower Results Are Better
"Run 1",37.100315,36.821365,37.779808
"Run 2",37.341118,36.590099,37.31966
"Run 3",37.331581,37.779808,37.98008
"OSBench - Test: Create Processes",
Lower Results Are Better
"Run 1",29.31118,29.261112,28.269291
"Run 2",27.580261,28.409958,28.169155
"Run 3",27.799606,28.660297,28.100014
"OSBench - Test: Memory Allocations",
Lower Results Are Better
"Run 1",66.433907,66.905022,64.170122
"Run 2",64.916849,64.738035,64.535856
"Run 3",64.321041,65.435171,65.737963
"perf-bench - Benchmark: Epoll Wait",
Higher Results Are Better
"Run 1",32632,33333,33071
"Run 2",34342,34579,33557
"Run 3",34310,34919,32834,34132
"perf-bench - Benchmark: Futex Hash",
Higher Results Are Better
"Run 1",5058486,5034563,5035034
"Run 2",5035419,5016642,5011447
"Run 3",5041629,5019549,5024965
"perf-bench - Benchmark: Memcpy 1MB",
Higher Results Are Better
"Run 1",15.737177,15.062624,15.22209
"Run 2",15.326744,15.543342,15.218202
"Run 3",14.930059,14.55946,15.688794,15.129486,15.165498
"perf-bench - Benchmark: Memset 1MB",
Higher Results Are Better
"Run 1",70.554094,74.900676,73.576279,73.927514
"Run 2",75.909594,71.390531,71.773188,74.405669
"Run 3",71.579013,69.382722,73.293328
"perf-bench - Benchmark: Sched Pipe",
Higher Results Are Better
"Run 1",399929,390652,386582
"Run 2",396878,388786,405525
"Run 3",387147,389577,397883
"MPV - Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only",
Higher Results Are Better
"Run 1",1232.9651609085,1238.2564392531,1239.7407117188
"Run 2",1253.2413299069,1243.1955868911,1250.5578662398
"Run 3",1241.7639535693,1243.6640652328,1242.6210648518
"perf-bench - Benchmark: Futex Lock-Pi",
Higher Results Are Better
"Run 1",447,452,454
"Run 2",480,443,444,436,453,476,445,464,454,451,452,468,426,452,471
"Run 3",445,452,432
"MPV - Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only",
Higher Results Are Better
"Run 1",371.1696547213,373.66648520282,372.03431295361
"Run 2",373.61254918889,376.22720747102,373.34519684872
"Run 3",370.25845404291,374.81542941485,372.37936148698
"perf-bench - Benchmark: Syscall Basic",
Higher Results Are Better
"Run 1",21413134,21685571,21611355
"Run 2",22780620,22823239,23096315
"Run 3",22413102,22956688,22836545
"Blender 2.90 - Blend File: BMW27 - Compute: CUDA",
Lower Results Are Better
"Run 1",40.78,40.75,40.65
"Run 2",40.73,40.74,40.85
"Run 3",40.74,40.73,40.73
"Blender 2.90 - Blend File: Classroom - Compute: CUDA",
Lower Results Are Better
"Run 1",151.96,151.93,151.92
"Run 2",152.08,152.42,152.9
"Run 3",151.85,152.84,153.12
"Blender 2.90 - Blend File: Fishy Cat - Compute: CUDA",
Lower Results Are Better
"Run 1",73.1,73.14,73.22
"Run 2",73.22,73.27,73.32
"Run 3",73.08,73.21,73.23
"Blender 2.90 - Blend File: Barbershop - Compute: CUDA",
Lower Results Are Better
"Run 1",539.03,538.66,538.47
"Run 2",539.21,538.74,537.84
"Run 3",538.76,538.94,538.74
"Blender 2.90 - Blend File: BMW27 - Compute: NVIDIA OptiX",
Lower Results Are Better
"Run 1",20.56,19.97,19.95
"Run 2",20.85,19.96,19.95
"Run 3",20.76,20,19.96
"Blender 2.90 - Blend File: Classroom - Compute: NVIDIA OptiX",
Lower Results Are Better
"Run 1",72.87,73.66,73.59
"Run 2",72.81,73.43,73.75
"Run 3",73.23,73.84,73.67
"Blender 2.90 - Blend File: Fishy Cat - Compute: NVIDIA OptiX",
Lower Results Are Better
"Run 1",33.04,33.13,33.14
"Run 2",33.04,33.06,33.04
"Run 3",32.99,33.08,33.08
"Blender 2.90 - Blend File: Barbershop - Compute: NVIDIA OptiX",
Lower Results Are Better
"Run 1",895.95,897.32,897.21
"Run 2",893.46,893.21,892.41
"Run 3",892.24,891.71,896.98
"Blender 2.90 - Blend File: Pabellon Barcelona - Compute: CUDA",
Lower Results Are Better
"Run 1",292.14,292.23,292.06
"Run 2",292.18,292.34,292.82
"Run 3",292.43,292.52,292.55
"Blender 2.90 - Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX",
Lower Results Are Better
"Run 1",103.82,103.8,104.16
"Run 2",104.34,104.26,104.25
"Run 3",104.42,104.44,104.42
"FAHBench 2.3.2 - ",
Higher Results Are Better
"Run 1",288.6226,287.9,285.7405
"Run 2",288.0193,288.6884,289.9237
"Run 3",289.3206,288.1929,289.2571
"Hashcat 6.1.1 - Benchmark: MD5",
Higher Results Are Better
"Run 1",56700000000,56533100000,56428900000
"Run 2",56229100000,56119900000,56062400000
"Run 3",56243300000,56165500000,56028000000
"Hashcat 6.1.1 - Benchmark: SHA1",
Higher Results Are Better
"Run 1",18003300000,17977500000,17907700000
"Run 2",17880400000,17793600000,17794100000
"Run 3",17842900000,17813500000,17779900000
"Hashcat 6.1.1 - Benchmark: 7-Zip",
Higher Results Are Better
"Run 1",884200,879800,878900
"Run 2",878700,878100,874600
"Run 3",882800,876400,879800
"Hashcat 6.1.1 - Benchmark: SHA-512",
Higher Results Are Better
"Run 1",2476700000,2465500000,2466900000
"Run 2",2459600000,2448200000,2447800000
"Run 3",2455900000,2446600000,2448900000
"Hashcat 6.1.1 - Benchmark: TrueCrypt RIPEMD160 + XTS",
Higher Results Are Better
"Run 1",652200,650000,650700
"Run 2",646800,645500,646800
"Run 3",647200,646000,646600
"Mixbench 2020-06-23 - Backend: NVIDIA CUDA - Benchmark: Integer",
Higher Results Are Better
"Run 1",14673.2,14611.02,14668.8
"Run 2",11984.39,14469.15,12761.73,14467.2,13932.85,14596.36,14668.4,14605.07,14668.4,14597.94,14668.4,14603.09,14667.6,14606.26,14660.4
"Run 3",14474.6,14566.71,14489.02
"Mixbench 2020-06-23 - Backend: NVIDIA CUDA - Benchmark: Half Precision",
Higher Results Are Better
"Run 1",32617.98,32640.74,32632.83
"Run 2",32632.83,32578.48,32577.49
"Run 3",32384.31,32468.36,32374.56
"Mixbench 2020-06-23 - Backend: NVIDIA CUDA - Benchmark: Double Precision",
Higher Results Are Better
"Run 1",440.84,440.8,440.75
"Run 2",440.77,440.83,391.86,440.83,349.7,440.79,420.66,440.81,403.15,440.79,423.4,440.81,393.88,440.82,382.53
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"Mixbench 2020-06-23 - Backend: NVIDIA CUDA - Benchmark: Single Precision",
Higher Results Are Better
"Run 1",16384,16384,11529.48,16385.5,11561.2,16399.98,11529.23,16384.5,11526.27,16384,11521.09,16396.49,11513.93,16403.48,11588.35
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"Run 3",16258.22,13279.34,16260.19,11776.34,16262.15,11525.28,16257.24,11528.74,16267.56,16257.24,16257.24,16259.2,16269.53,16241.53,16257.24
"NAMD CUDA 2.14 - ATPase Simulation - 327,506 Atoms",
Lower Results Are Better
"Run 1",0.179428,0.17948,0.179742
"Run 2",0.179364,0.179258,0.179919
"Run 3",0.180359,0.179265,0.180488
"OctaneBench 4.00c - Total Score",
Higher Results Are Better
"Run 1",
"Run 2",
"Run 3",
"RedShift Demo 3.0 - ",
Lower Results Are Better
"Run 1",248,247,247
"Run 2",249,248,248
"Run 3",250,248,247
"FinanceBench 2016-06-06 - Benchmark: Black-Scholes OpenCL",
Lower Results Are Better
"Run 1",6.026,6.031,6.033
"Run 2",6.041,6.037,6.033
"Run 3",6.036,6.028,6.036
"cl-mem 2017-01-13 - Benchmark: Copy",
Higher Results Are Better
"Run 1",325.2,325.7,325.1
"Run 2",325.2,325.5,325
"Run 3",325.5,323.8,324.3
"cl-mem 2017-01-13 - Benchmark: Read",
Higher Results Are Better
"Run 1",544.9,546,545.4
"Run 2",545,545.9,545.2
"Run 3",546,542.7,545.9
"cl-mem 2017-01-13 - Benchmark: Write",
Higher Results Are Better
"Run 1",446.4,448,448.6
"Run 2",449.7,450.3,449.4
"Run 3",450.1,445.9,447.1
"clpeak - OpenCL Test: Integer Compute INT",
Higher Results Are Better
"Run 1",12740.81,13292.1,13820.74,13850.45,12482.88,12958.64,13530.39,13889.27,14030.73,12401.51,12988.28,13459.41,13895.5,14076.57,12363.96
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"Run 3",12926.47,13436.64,13855.2,13076.1,12782.96,13331.64
"clpeak - OpenCL Test: Single-Precision Float",
Higher Results Are Better
"Run 1",13011.07,12622.32,13472.16,14449.11,13601.22,13119.29,12909.75,12523.52,13824.91,14327.4,13556.68,12953.76,12651.87,13194.9,14478.64
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"clpeak - OpenCL Test: Double-Precision Double",
Higher Results Are Better
"Run 1",525.83,520.94,520.85
"Run 2",521.76,520.77,520.85
"Run 3",521.09,516.85,516.69
"clpeak - OpenCL Test: Global Memory Bandwidth",
Higher Results Are Better
"Run 1",508.68,506.34,507.67
"Run 2",508.45,508.8,506.36
"Run 3",507.09,508.06,508.58
"MandelGPU 1.3pts1 - OpenCL Device: GPU",
Higher Results Are Better
"Run 1",444237653.8,443601097.7,464355346.6
"Run 2",451934836.7,448215677.1,467270960.2
"Run 3",445563872.9,451508352.7,449555519.5
"ViennaCL 1.4.2 - OpenCL LU Factorization",
Higher Results Are Better
"Run 1",78.4519,81.4235,78.3335
"Run 2",76.9301,76.4307,73.7587
"Run 3",79.2159,75.3381,75.9237
"InfluxDB 1.8.2 - Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000",
Higher Results Are Better
"Run 1",1344606.1,1349273,1353479.1
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"Run 3",1372332.9,1378637,1379434.8
"InfluxDB 1.8.2 - Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000",
Higher Results Are Better
"Run 1",1504571.6,1503127,1502194.3
"Run 2",1526876.5,1532784.1,1532896.8
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"InfluxDB 1.8.2 - Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000",
Higher Results Are Better
"Run 1",1538858,1529376.8,1535529
"Run 2",1565664,1564796.5,1556805.8
"Run 3",1563421.6,1565263.9,1562054.7