NVIDIA GeForce RTX 3090

AMD Ryzen 9 5950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3801 BIOS) and NVIDIA GeForce RTX 3090 24GB on Ubuntu 21.10 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 2112069-PTS-NVIDIAGE39
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BLAS (Basic Linear Algebra Sub-Routine) Tests 3 Tests
C++ Boost Tests 2 Tests
CPU Massive 5 Tests
Creator Workloads 6 Tests
Desktop Graphics 2 Tests
Game Development 2 Tests
HPC - High Performance Computing 8 Tests
Machine Learning 5 Tests
Multi-Core 8 Tests
NVIDIA GPU Compute 31 Tests
OpenCL 6 Tests
OpenMPI Tests 2 Tests
Python Tests 3 Tests
Renderers 4 Tests
Scientific Computing 2 Tests
Server CPU Tests 2 Tests
Vulkan Compute 8 Tests
Common Workstation Benchmarks 3 Tests

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  Test
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RTX 3090
December 05 2021
  2 Hours, 29 Minutes
NVIDIA RTX 3090
December 05 2021
  7 Hours, 31 Minutes
NVIDIA 3090
December 06 2021
  2 Hours, 25 Minutes
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  4 Hours, 8 Minutes

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NVIDIA GeForce RTX 3090 Suite 1.0.0 System Test suite extracted from NVIDIA GeForce RTX 3090. pts/arrayfire-1.1.0 cg_opencl Test: Conjugate Gradient OpenCL pts/betsy-1.0.0 --codec=etc1 --quality=2 Codec: ETC1 - Quality: Highest pts/betsy-1.0.0 --codec=etc2_rgb --quality=2 Codec: ETC2 RGB - Quality: Highest pts/blender-3.0.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 CUDA Blend File: BMW27 - Compute: CUDA pts/blender-3.0.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 CUDA Blend File: Classroom - Compute: CUDA pts/blender-3.0.0 -b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 CUDA Blend File: Fishy Cat - Compute: CUDA pts/blender-3.0.0 -b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 CUDA Blend File: Barbershop - Compute: CUDA pts/blender-3.0.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX Blend File: BMW27 - Compute: NVIDIA OptiX pts/blender-3.0.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX Blend File: Classroom - Compute: NVIDIA OptiX pts/blender-3.0.0 -b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX Blend File: Fishy Cat - Compute: NVIDIA OptiX pts/blender-3.0.0 -b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX Blend File: Barbershop - Compute: NVIDIA OptiX pts/blender-3.0.0 -b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 CUDA Blend File: Pabellon Barcelona - Compute: CUDA pts/blender-3.0.0 -b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX pts/caffe-1.5.0 --model=../models/bvlc_alexnet/deploy.prototxt -gpu all -iterations 100 Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 100 pts/caffe-1.5.0 --model=../models/bvlc_alexnet/deploy.prototxt -gpu all -iterations 200 Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 200 pts/caffe-1.5.0 --model=../models/bvlc_alexnet/deploy.prototxt -gpu all -iterations 1000 Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 1000 pts/caffe-1.5.0 --model=../models/bvlc_googlenet/deploy.prototxt -gpu all -iterations 100 Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 100 pts/caffe-1.5.0 --model=../models/bvlc_googlenet/deploy.prototxt -gpu all -iterations 200 Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 200 pts/caffe-1.5.0 --model=../models/bvlc_googlenet/deploy.prototxt -gpu all -iterations 1000 Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 1000 pts/v-ray-1.3.0 -m vray-gpu-rtx Mode: NVIDIA RTX GPU pts/v-ray-1.3.0 -m vray-gpu-cuda Mode: NVIDIA CUDA GPU pts/cl-mem-1.0.1 COPY Benchmark: Copy pts/cl-mem-1.0.1 READ Benchmark: Read pts/cl-mem-1.0.1 WRITE Benchmark: Write pts/clpeak-1.0.1 --compute-integer OpenCL Test: Integer Compute INT pts/clpeak-1.0.1 --compute-sp OpenCL Test: Single-Precision Float pts/clpeak-1.0.1 --compute-dp OpenCL Test: Double-Precision Double pts/clpeak-1.0.1 --global-bandwidth OpenCL Test: Global Memory Bandwidth pts/etlegacy-1.2.0 +set r_customwidth 1920 +set r_customheight 1080 Resolution: 1920 x 1080 pts/etlegacy-1.2.0 +set r_customwidth 1920 +set r_customheight 1200 Resolution: 1920 x 1200 pts/etlegacy-1.2.0 +set r_customwidth 2560 +set r_customheight 1440 Resolution: 2560 x 1440 pts/etlegacy-1.2.0 +set r_customwidth 3840 +set r_customheight 2160 Resolution: 3840 x 2160 pts/fahbench-1.0.2 pts/financebench-1.1.1 Black-Scholes/OpenCL/blackScholesAnalyticEngine.exe Benchmark: Black-Scholes OpenCL pts/gromacs-1.6.0 cuda-build water-cut1.0_GMX50_bare/1536 Implementation: NVIDIA CUDA GPU - Input: water_GMX50_bare pts/hashcat-1.1.1 -m 0 Benchmark: MD5 pts/hashcat-1.1.1 -m 100 Benchmark: SHA1 pts/hashcat-1.1.1 -m 11600 Benchmark: 7-Zip pts/hashcat-1.1.1 -m 1700 Benchmark: SHA-512 pts/hashcat-1.1.1 -m 6211 Benchmark: TrueCrypt RIPEMD160 + XTS pts/indigobench-1.1.0 --gpuonly --scenes bedroom Acceleration: OpenCL GPU - Scene: Bedroom pts/indigobench-1.1.0 --gpuonly --scenes supercar Acceleration: OpenCL GPU - Scene: Supercar pts/lczero-1.6.0 -b opencl Backend: OpenCL pts/libplacebo-1.0.0 pts/luxcorerender-1.3.0 DLSC/LuxCoreScene/render.cfg -D renderengine.type PATHOCL -D opencl.native.threads.count 0 -D context.cuda.optix.enable 0 Scene: DLSC - Acceleration: GPU pts/luxcorerender-1.3.0 DanishMood/LuxCoreScene/render.cfg -D renderengine.type PATHOCL -D opencl.native.threads.count 0 -D context.cuda.optix.enable 0 Scene: Danish Mood - Acceleration: GPU pts/luxcorerender-1.3.0 OrangeJuice/LuxCoreScene/render.cfg -D renderengine.type PATHOCL -D opencl.native.threads.count 0 -D context.cuda.optix.enable 0 Scene: Orange Juice - Acceleration: GPU pts/luxcorerender-1.3.0 LuxCore2.1Benchmark/LuxCoreScene/render.cfg -D renderengine.type PATHOCL -D opencl.native.threads.count 0 -D context.cuda.optix.enable 0 Scene: LuxCore Benchmark - Acceleration: GPU pts/luxcorerender-1.3.0 RainbowColorsAndPrism/LuxCoreScene/render.cfg -D renderengine.type PATHOCL -D opencl.native.threads.count 0 -D context.cuda.optix.enable 0 Scene: Rainbow Colors and Prism - Acceleration: GPU pts/mandelgpu-1.3.1 0 1 OpenCL Device: GPU pts/mixbench-1.1.1 mixbench-ocl-ro GIOPS Backend: OpenCL - Benchmark: Integer pts/mixbench-1.1.1 mixbench-cuda-ro GIOPS Backend: NVIDIA CUDA - Benchmark: Integer pts/mixbench-1.1.1 mixbench-ocl-ro DPGFLOPS Backend: OpenCL - Benchmark: Double Precision pts/mixbench-1.1.1 mixbench-ocl-ro SPGFLOPS Backend: OpenCL - Benchmark: Single Precision pts/mixbench-1.1.1 mixbench-cuda-ro HPGFLOPS Backend: NVIDIA CUDA - Benchmark: Half Precision pts/mixbench-1.1.1 mixbench-cuda-ro DPGFLOPS Backend: NVIDIA CUDA - Benchmark: Double Precision pts/mixbench-1.1.1 mixbench-cuda-ro SPGFLOPS Backend: NVIDIA CUDA - Benchmark: Single Precision pts/namd-cuda-1.1.1 ATPase Simulation - 327,506 Atoms pts/ncnn-1.3.0 Target: Vulkan GPU - Model: mobilenet pts/ncnn-1.3.0 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 pts/ncnn-1.3.0 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.3.0 Target: Vulkan GPU - Model: shufflenet-v2 pts/ncnn-1.3.0 Target: Vulkan GPU - Model: mnasnet pts/ncnn-1.3.0 Target: Vulkan GPU - Model: efficientnet-b0 pts/ncnn-1.3.0 Target: Vulkan GPU - Model: blazeface pts/ncnn-1.3.0 Target: Vulkan GPU - Model: googlenet pts/ncnn-1.3.0 Target: Vulkan GPU - Model: vgg16 pts/ncnn-1.3.0 Target: Vulkan GPU - Model: resnet18 pts/ncnn-1.3.0 Target: Vulkan GPU - Model: alexnet pts/ncnn-1.3.0 Target: Vulkan GPU - Model: resnet50 pts/ncnn-1.3.0 Target: Vulkan GPU - Model: yolov4-tiny pts/ncnn-1.3.0 Target: Vulkan GPU - Model: squeezenet_ssd pts/ncnn-1.3.0 Target: Vulkan GPU - Model: regnety_400m pts/neatbench-1.0.4 gpu Acceleration: GPU pts/octanebench-1.3.0 Total Score pts/paraview-1.2.0 manyspheres.py -s 100 -r 726 -f 600 -v 1920,1080 Test: Many Spheres - Resolution: 1920 x 1080 pts/paraview-1.2.0 manyspheres.py -s 100 -r 726 -f 600 -v 1920,1200 Test: Many Spheres - Resolution: 1920 x 1200 pts/paraview-1.2.0 manyspheres.py -s 100 -r 726 -f 600 -v 2560,1440 Test: Many Spheres - Resolution: 2560 x 1440 pts/paraview-1.2.0 manyspheres.py -s 100 -r 726 -f 600 -v 3840,2160 Test: Many Spheres - Resolution: 3840 x 2160 pts/paraview-1.2.0 waveletvolume.py -d 256 -f 600 -v 1920,1080 Test: Wavelet Volume - Resolution: 1920 x 1080 pts/paraview-1.2.0 waveletvolume.py -d 256 -f 600 -v 1920,1200 Test: Wavelet Volume - Resolution: 1920 x 1200 pts/paraview-1.2.0 waveletvolume.py -d 256 -f 600 -v 2560,1440 Test: Wavelet Volume - Resolution: 2560 x 1440 pts/paraview-1.2.0 waveletvolume.py -d 256 -f 600 -v 3840,2160 Test: Wavelet Volume - Resolution: 3840 x 2160 pts/paraview-1.2.0 waveletcontour.py -d 256 -f 600 -v 1920,1080 Test: Wavelet Contour - Resolution: 1920 x 1080 pts/paraview-1.2.0 waveletcontour.py -d 256 -f 600 -v 1920,1200 Test: Wavelet Contour - Resolution: 1920 x 1200 pts/paraview-1.2.0 waveletcontour.py -d 256 -f 600 -v 2560,1440 Test: Wavelet Contour - Resolution: 2560 x 1440 pts/paraview-1.2.0 waveletcontour.py -d 256 -f 600 -v 3840,2160 Test: Wavelet Contour - Resolution: 3840 x 2160 pts/plaidml-1.0.4 --no-fp16 --train mobilenet OPENCL FP16: No - Mode: Training - Network: Mobilenet - Device: OpenCL pts/plaidml-1.0.4 --no-fp16 --no-train imdb_lstm OPENCL FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL pts/plaidml-1.0.4 --no-fp16 --no-train mobilenet OPENCL FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL pts/plaidml-1.0.4 --fp16 --no-train mobilenet OPENCL FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL pts/plaidml-1.0.4 --no-fp16 --no-train densenet201 OPENCL FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL pts/realsr-ncnn-1.0.0 -s 4 Scale: 4x - TAA: No pts/realsr-ncnn-1.0.0 -s 4 -x Scale: 4x - TAA: Yes pts/redshift-1.0.1 pts/rodinia-1.3.1 OCL_PARTICLEFILTER Test: OpenCL Particle Filter pts/shoc-1.2.0 -opencl -benchmark S3D Target: OpenCL - Benchmark: S3D pts/shoc-1.2.0 -opencl -benchmark Triad Target: OpenCL - Benchmark: Triad pts/shoc-1.2.0 -opencl -benchmark FFT Target: OpenCL - Benchmark: FFT SP pts/shoc-1.2.0 -opencl -benchmark MD5Hash Target: OpenCL - Benchmark: MD5 Hash pts/shoc-1.2.0 -opencl -benchmark Reduction Target: OpenCL - Benchmark: Reduction pts/shoc-1.2.0 -opencl -benchmark GEMM Target: OpenCL - Benchmark: GEMM SGEMM_N pts/shoc-1.2.0 -opencl -benchmark MaxFlops Target: OpenCL - Benchmark: Max SP Flops pts/shoc-1.2.0 -opencl -benchmark BusSpeedDownload Target: OpenCL - Benchmark: Bus Speed Download pts/shoc-1.2.0 -opencl -benchmark BusSpeedReadback Target: OpenCL - Benchmark: Bus Speed Readback pts/shoc-1.2.0 -opencl -benchmark DeviceMemory Target: OpenCL - Benchmark: Texture Read Bandwidth pts/unvanquished-1.6.0 +set r_customWidth 1920 +set r_customHeight 1080 +preset presets/graphics/high.cfg Resolution: 1920 x 1080 - Effects Quality: High pts/unvanquished-1.6.0 +set r_customWidth 1920 +set r_customHeight 1200 +preset presets/graphics/high.cfg Resolution: 1920 x 1200 - Effects Quality: High pts/unvanquished-1.6.0 +set r_customWidth 2560 +set r_customHeight 1440 +preset presets/graphics/high.cfg Resolution: 2560 x 1440 - Effects Quality: High pts/unvanquished-1.6.0 +set r_customWidth 3840 +set r_customHeight 2160 +preset presets/graphics/high.cfg Resolution: 3840 x 2160 - Effects Quality: High pts/unvanquished-1.6.0 +set r_customWidth 1920 +set r_customHeight 1080 +preset presets/graphics/ultra.cfg Resolution: 1920 x 1080 - Effects Quality: Ultra pts/unvanquished-1.6.0 +set r_customWidth 1920 +set r_customHeight 1200 +preset presets/graphics/ultra.cfg Resolution: 1920 x 1200 - Effects Quality: Ultra pts/unvanquished-1.6.0 +set r_customWidth 2560 +set r_customHeight 1440 +preset presets/graphics/ultra.cfg Resolution: 2560 x 1440 - Effects Quality: Ultra pts/unvanquished-1.6.0 +set r_customWidth 3840 +set r_customHeight 2160 +preset presets/graphics/ultra.cfg Resolution: 3840 x 2160 - Effects Quality: Ultra pts/unvanquished-1.6.0 +set r_customWidth 1920 +set r_customHeight 1080 +preset presets/graphics/medium.cfg Resolution: 1920 x 1080 - Effects Quality: Medium pts/unvanquished-1.6.0 +set r_customWidth 1920 +set r_customHeight 1200 +preset presets/graphics/medium.cfg Resolution: 1920 x 1200 - Effects Quality: Medium pts/unvanquished-1.6.0 +set r_customWidth 2560 +set r_customHeight 1440 +preset presets/graphics/medium.cfg Resolution: 2560 x 1440 - Effects Quality: Medium pts/unvanquished-1.6.0 +set r_customWidth 3840 +set r_customHeight 2160 +preset presets/graphics/medium.cfg Resolution: 3840 x 2160 - Effects Quality: Medium pts/viennacl-1.1.0 dense_blas-bench-cpu Test: CPU BLAS - sCOPY pts/viennacl-1.1.0 dense_blas-bench-cpu Test: CPU BLAS - sAXPY pts/viennacl-1.1.0 dense_blas-bench-cpu Test: CPU BLAS - sDOT pts/viennacl-1.1.0 dense_blas-bench-cpu Test: CPU BLAS - dCOPY pts/viennacl-1.1.0 dense_blas-bench-cpu Test: CPU BLAS - dAXPY pts/viennacl-1.1.0 dense_blas-bench-cpu Test: CPU BLAS - dDOT pts/viennacl-1.1.0 dense_blas-bench-cpu Test: CPU BLAS - dGEMV-N pts/viennacl-1.1.0 dense_blas-bench-cpu Test: CPU BLAS - dGEMV-T pts/viennacl-1.1.0 dense_blas-bench-cpu Test: CPU BLAS - dGEMM-NN pts/viennacl-1.1.0 dense_blas-bench-cpu Test: CPU BLAS - dGEMM-NT pts/viennacl-1.1.0 dense_blas-bench-cpu Test: CPU BLAS - dGEMM-TN pts/viennacl-1.1.0 dense_blas-bench-cpu Test: CPU BLAS - dGEMM-TT pts/viennacl-1.1.0 dense_blas-bench-opencl Test: OpenCL BLAS - sCOPY pts/viennacl-1.1.0 dense_blas-bench-opencl Test: OpenCL BLAS - sAXPY pts/viennacl-1.1.0 dense_blas-bench-opencl Test: OpenCL BLAS - sDOT pts/viennacl-1.1.0 dense_blas-bench-opencl Test: OpenCL BLAS - dCOPY pts/viennacl-1.1.0 dense_blas-bench-opencl Test: OpenCL BLAS - dAXPY pts/viennacl-1.1.0 dense_blas-bench-opencl Test: OpenCL BLAS - dDOT pts/viennacl-1.1.0 dense_blas-bench-opencl Test: OpenCL BLAS - dGEMV-N pts/viennacl-1.1.0 dense_blas-bench-opencl Test: OpenCL BLAS - dGEMV-T pts/viennacl-1.1.0 dense_blas-bench-opencl Test: OpenCL BLAS - dGEMM-NN pts/viennacl-1.1.0 dense_blas-bench-opencl Test: OpenCL BLAS - dGEMM-NT pts/viennacl-1.1.0 dense_blas-bench-opencl Test: OpenCL BLAS - dGEMM-TN pts/viennacl-1.1.0 dense_blas-bench-opencl Test: OpenCL BLAS - dGEMM-TT pts/vkfft-1.1.0 pts/vkpeak-1.0.2 fp32-scalar pts/vkpeak-1.0.2 fp32-vec4 pts/vkpeak-1.0.2 fp16-scalar pts/vkpeak-1.0.2 fp16-vec4 pts/vkpeak-1.0.2 fp64-scalar pts/vkpeak-1.0.2 int32-scalar pts/vkpeak-1.0.2 int32-vec4 pts/vkpeak-1.0.2 int16-scalar pts/vkpeak-1.0.2 int16-vec4 pts/vkpeak-1.0.2 fp64-vec4 pts/vkresample-1.0.0 -u 2 -p 1 Upscale: 2x - Precision: Double pts/vkresample-1.0.0 -u 2 -p 0 Upscale: 2x - Precision: Single pts/waifu2x-ncnn-1.0.0 -s 2 -n 3 Scale: 2x - Denoise: 3 - TAA: No pts/waifu2x-ncnn-1.0.0 -s 2 -n 3 -x Scale: 2x - Denoise: 3 - TAA: Yes pts/warsow-1.6.0 +vid_width 1920 +vid_height 1080 Resolution: 1920 x 1080 pts/warsow-1.6.0 +vid_width 1920 +vid_height 1200 Resolution: 1920 x 1200 pts/warsow-1.6.0 +vid_width 2560 +vid_height 1440 Resolution: 2560 x 1440 pts/warsow-1.6.0 +vid_width 3840 +vid_height 2160 Resolution: 3840 x 2160 pts/xonotic-1.5.2 +vid_width 3840 +vid_height 2160 +exec effects-low.cfg Resolution: 3840 x 2160 - Effects Quality: Low pts/xonotic-1.5.2 +vid_width 3840 +vid_height 2160 +exec effects-high.cfg Resolution: 3840 x 2160 - Effects Quality: High pts/xonotic-1.5.2 +vid_width 3840 +vid_height 2160 +exec effects-ultra.cfg Resolution: 3840 x 2160 - Effects Quality: Ultra pts/xonotic-1.5.2 +vid_width 3840 +vid_height 2160 +exec effects-ultimate.cfg Resolution: 3840 x 2160 - Effects Quality: Ultimate