NVIDIA GeForce RTX 3080 Linux

AMD Ryzen 9 3950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS) and NVIDIA GeForce RTX 3080 10GB 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 2010060-PTS-NVIDIAGE13
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
GeForce RTX 3080
October 06 2020
  2 Hours, 12 Minutes
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NVIDIA GeForce RTX 3080 Linux, "VkFFT 2020-09-29 - ", Higher Results Are Better "GeForce RTX 3080",51913,51354,51548 "FinanceBench 2016-06-06 - Benchmark: Black-Scholes OpenCL", Lower Results Are Better "GeForce RTX 3080",4.873,4.828,4.829 "Mixbench 2020-06-23 - Backend: OpenCL - Benchmark: Integer", Higher Results Are Better "GeForce RTX 3080",16948.75,16877.49,16879.08 "Mixbench 2020-06-23 - Backend: NVIDIA CUDA - Benchmark: Integer", Higher Results Are Better "GeForce RTX 3080",12822.26,14982.16,14968.82,13373.1,15008.91,12822.26,14995.52,12814.62,14982.16,14969.24,13602.72,14955.5,12814.62,14945.53,12822.26 "Mixbench 2020-06-23 - Backend: OpenCL - Benchmark: Double Precision", Higher Results Are Better "GeForce RTX 3080",444.28,454.46,454.45 "Mixbench 2020-06-23 - Backend: OpenCL - Benchmark: Single Precision", Higher Results Are Better "GeForce RTX 3080",28252.07,28252.07,28252.07 "Mixbench 2020-06-23 - Backend: NVIDIA CUDA - Benchmark: Half Precision", Higher Results Are Better "GeForce RTX 3080",33788.91,33558.1,30070.69,33822.91,28808.88,33593.72,28808.88,33586.38,28808.88,33822.91,33552.86,30316.43,33788.91,28808.88,33586.38 "Mixbench 2020-06-23 - Backend: NVIDIA CUDA - Benchmark: Double Precision", Higher Results Are Better "GeForce RTX 3080",386.62,454.4,386.62,454.44,386.62,451.67,386.62,451.59,386.62,454.38,398.07,451.45,396.44,396.81,425.7 "Mixbench 2020-06-23 - Backend: NVIDIA CUDA - Benchmark: Single Precision", Higher Results Are Better "GeForce RTX 3080",27467.29,27422.49,31670.27,27422.49,31657.22,27422.49,31716.95,27422.49,27422.49,31657.22,27422.49,31716.95,27422.49,31716.95,27422.49 "GROMACS 2020.3 - Water Benchmark", Higher Results Are Better "GeForce RTX 3080",8.439,8.288,8.391 "ViennaCL 1.4.2 - OpenCL LU Factorization", Higher Results Are Better "GeForce RTX 3080",72.157,76.1151,78.8816,75.3315,79.1539,75.3159,78.2728,77.0806,78.166 "cl-mem 2017-01-13 - Benchmark: Copy", Higher Results Are Better "GeForce RTX 3080",355.8,355.2,355.7 "cl-mem 2017-01-13 - Benchmark: Read", Higher Results Are Better "GeForce RTX 3080",674.2,672,673.3 "cl-mem 2017-01-13 - Benchmark: Write", Higher Results Are Better "GeForce RTX 3080",642.4,642.8,642.9 "NAMD CUDA 2.14 - ATPase Simulation - 327,506 Atoms", Lower Results Are Better "GeForce RTX 3080",0.170927,0.170192,0.171072 "RedShift Demo 3.0 - ", Lower Results Are Better "GeForce RTX 3080",166,165,165 "LuxCoreRender OpenCL 2.3 - Scene: DLSC", Higher Results Are Better "GeForce RTX 3080",9.925,9.9278333333333,9.9346666666667 "LuxCoreRender OpenCL 2.3 - Scene: Food", Higher Results Are Better "GeForce RTX 3080",4.0305263157895,4.0977192982456,4.0142105263158 "LuxCoreRender OpenCL 2.3 - Scene: LuxCore Benchmark", Higher Results Are Better "GeForce RTX 3080",8.1175862068966,8.1446551724138,7.6394827586207,7.8494827586207,7.9077586206897 "LuxCoreRender OpenCL 2.3 - Scene: Rainbow Colors and Prism", Higher Results Are Better "GeForce RTX 3080",21.58,21.38625,22.148888888889 "LeelaChessZero 0.26 - Backend: OpenCL", Higher Results Are Better "GeForce RTX 3080",28946,29706,28763 "Rodinia 3.1 - Test: OpenCL Particle Filter", Lower Results Are Better "GeForce RTX 3080",4.285,4.292,4.301 "ArrayFire 3.7 - Test: Conjugate Gradient OpenCL", Lower Results Are Better "GeForce RTX 3080",1.566,1.566,1.565 "Caffe 2020-02-13 - Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 100", Lower Results Are Better "GeForce RTX 3080",787.031,794.556,789.425 "Caffe 2020-02-13 - Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 200", Lower Results Are Better "GeForce RTX 3080",1559.33,1557.84,1555.99 "Caffe 2020-02-13 - Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 1000", Lower Results Are Better "GeForce RTX 3080",7693.37,7699.82,7725.16 "Caffe 2020-02-13 - Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 100", Lower Results Are Better "GeForce RTX 3080",2442.86,2443.23,2451.07 "Caffe 2020-02-13 - Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 200", Lower Results Are Better "GeForce RTX 3080",4852.75,4869.32,4881.83 "Caffe 2020-02-13 - Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 1000", Lower Results Are Better "GeForce RTX 3080",24348.4,24295.3,24309.1 "PlaidML - FP16: No - Mode: Training - Network: Mobilenet - Device: OpenCL", Higher Results Are Better "GeForce RTX 3080",240.35,240.03,240.16 "PlaidML - FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL", Higher Results Are Better "GeForce RTX 3080",1014.34,1011.95,1016.47 "PlaidML - FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL", Higher Results Are Better "GeForce RTX 3080",3055.18,3051.93,3049.24 "PlaidML - FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL", Higher Results Are Better "GeForce RTX 3080",3539.41,3545.22,3533.72 "PlaidML - FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL", Higher Results Are Better "GeForce RTX 3080",259.49,259.03,258.98 "Blender 2.90 - Blend File: BMW27 - Compute: CUDA", Lower Results Are Better "GeForce RTX 3080",113.23,26.01,26.09,26.03,26.09,26.05,26.05,26.1,26.09,26.13,26.14,26.07,26.11,26.11,26.09 "Blender 2.90 - Blend File: Classroom - Compute: CUDA", Lower Results Are Better "GeForce RTX 3080",68.19,68.28,68.33 "Blender 2.90 - Blend File: Fishy Cat - Compute: CUDA", Lower Results Are Better "GeForce RTX 3080",47.06,47.19,47.14 "Blender 2.90 - Blend File: Barbershop - Compute: CUDA", Lower Results Are Better "GeForce RTX 3080",287.1,286.68,286.48 "Blender 2.90 - Blend File: BMW27 - Compute: NVIDIA OptiX", Lower Results Are Better "GeForce RTX 3080",67.24,11.86,11.91,11.88,11.9,11.91,11.91,11.92,11.9,11.9,11.91,11.89,11.91,11.9,11.88 "Blender 2.90 - Blend File: Classroom - Compute: NVIDIA OptiX", Lower Results Are Better "GeForce RTX 3080",37.85,37.89,37.98 "Blender 2.90 - Blend File: Fishy Cat - Compute: NVIDIA OptiX", Lower Results Are Better "GeForce RTX 3080",21.93,21.93,21.94 "Blender 2.90 - Blend File: Barbershop - Compute: NVIDIA OptiX", Lower Results Are Better "GeForce RTX 3080",421.14,420.36,420.99 "Blender 2.90 - Blend File: Pabellon Barcelona - Compute: CUDA", Lower Results Are Better "GeForce RTX 3080",176.19,176.17,176.24 "Blender 2.90 - Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX", Lower Results Are Better "GeForce RTX 3080",54.73,54.73,54.77 "FAHBench 2.3.2 - ", Higher Results Are Better "GeForce RTX 3080",317.5508,317.5164,317.6845 "MandelGPU 1.3pts1 - OpenCL Device: GPU", Higher Results Are Better "GeForce RTX 3080",413451896.7,417870077.6,413812401.7 "clpeak - OpenCL Test: Integer Compute INT", Higher Results Are Better "GeForce RTX 3080",15003.11,15477.3,14763.72 "clpeak - OpenCL Test: Single-Precision Float", Higher Results Are Better "GeForce RTX 3080",29443.21,29285.32,29103.42 "clpeak - OpenCL Test: Double-Precision Double", Higher Results Are Better "GeForce RTX 3080",545.07,540.96,540.84 "clpeak - OpenCL Test: Global Memory Bandwidth", Higher Results Are Better "GeForce RTX 3080",662.21,662.31,662.54