NVIDIA Linux GPU Performance Comptue RTX 30 RTX 20

Benchmarks by Michael Larabel for a future article.

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BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
CPU Massive 4 Tests
Creator Workloads 2 Tests
Game Development 2 Tests
HPC - High Performance Computing 5 Tests
Machine Learning 3 Tests
Multi-Core 3 Tests
NVIDIA GPU Compute 20 Tests
OpenCL 5 Tests
Server CPU Tests 2 Tests
Vulkan Compute 6 Tests
Common Workstation Benchmarks 2 Tests

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Identifier
Performance Per
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Date
Run
  Test
  Duration
RTX 2060
December 25 2020
  4 Hours, 39 Minutes
RTX 2060 SUPER
December 24 2020
  4 Hours, 40 Minutes
RTX 2070
December 25 2020
  4 Hours, 25 Minutes
RTX 2070 SUPER
December 23 2020
  6 Hours, 52 Minutes
RTX 2080
December 24 2020
  4 Hours, 2 Minutes
RTX 2080 SUPER
December 23 2020
  3 Hours, 29 Minutes
RTX 2080 Ti
December 23 2020
  3 Hours, 53 Minutes
TITAN RTX
December 24 2020
  3 Hours, 18 Minutes
RTX 3060 TI
December 22 2020
  3 Hours, 51 Minutes
RTX 3080
December 22 2020
  3 Hours, 11 Minutes
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  4 Hours, 14 Minutes

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NVIDIA Linux GPU Performance Comptue RTX 30 RTX 20 Suite 1.0.0 System Test suite extracted from NVIDIA Linux GPU Performance Comptue RTX 30 RTX 20. 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/plaidml-1.0.4 --no-fp16 --train vgg16 OPENCL FP16: No - Mode: Training - Network: VGG16 - Device: OpenCL pts/luxcorerender-cl-1.2.0 DLSC/LuxCoreScene/render.cfg Scene: DLSC pts/plaidml-1.0.4 --no-fp16 --train vgg19 OPENCL FP16: No - Mode: Training - Network: VGG19 - Device: OpenCL pts/plaidml-1.0.4 --no-fp16 --no-train vgg16 OPENCL FP16: No - Mode: Inference - Network: VGG16 - Device: OpenCL pts/luxcorerender-cl-1.2.0 Food/LuxCoreScene/render.cfg Scene: Food pts/luxcorerender-cl-1.2.0 RainbowColorsAndPrism/LuxCoreScene/render.cfg Scene: Rainbow Colors and Prism pts/plaidml-1.0.4 --no-fp16 --no-train vgg19 OPENCL FP16: No - Mode: Inference - Network: VGG19 - 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 --no-fp16 --no-train resnet50 OPENCL FP16: No - Mode: Inference - Network: ResNet 50 - 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/plaidml-1.0.4 --no-fp16 --no-train inception_v3 OPENCL FP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCL pts/plaidml-1.0.4 --no-fp16 --no-train nasnet_large OPENCL FP16: No - Mode: Inference - Network: NASNer Large - Device: OpenCL pts/lczero-1.5.1 -b opencl Backend: OpenCL pts/ncnn-1.1.0 Target: Vulkan GPU - Model: mobilenet pts/ncnn-1.1.0 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 pts/ncnn-1.1.0 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.1.0 Target: Vulkan GPU - Model: shufflenet-v2 pts/luxcorerender-cl-1.2.0 LuxCore2.1Benchmark/LuxCoreScene/render.cfg Scene: LuxCore Benchmark pts/ncnn-1.1.0 Target: Vulkan GPU - Model: mnasnet pts/ncnn-1.1.0 Target: Vulkan GPU - Model: efficientnet-b0 pts/ncnn-1.1.0 Target: Vulkan GPU - Model: blazeface pts/ncnn-1.1.0 Target: Vulkan GPU - Model: googlenet pts/ncnn-1.1.0 Target: Vulkan GPU - Model: vgg16 pts/ncnn-1.1.0 Target: Vulkan GPU - Model: resnet18 pts/ncnn-1.1.0 Target: Vulkan GPU - Model: alexnet pts/ncnn-1.1.0 Target: Vulkan GPU - Model: resnet50 pts/ncnn-1.1.0 Target: Vulkan GPU - Model: yolov4-tiny pts/ncnn-1.1.0 Target: Vulkan GPU - Model: squeezenet_ssd pts/ncnn-1.1.0 Target: Vulkan GPU - Model: regnety_400m pts/rodinia-1.3.1 OCL_PARTICLEFILTER Test: OpenCL Particle Filter pts/arrayfire-1.1.0 cg_opencl Test: Conjugate Gradient OpenCL pts/blender-1.8.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX Blend File: BMW27 - Compute: NVIDIA OptiX pts/blender-1.8.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX Blend File: Classroom - Compute: NVIDIA OptiX pts/blender-1.8.0 -b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX Blend File: Fishy Cat - Compute: NVIDIA OptiX pts/blender-1.8.0 -b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX Blend File: Barbershop - Compute: NVIDIA OptiX pts/blender-1.8.0 -b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX pts/fahbench-1.0.2 pts/hashcat-1.0.0 -m 0 Benchmark: MD5 pts/hashcat-1.0.0 -m 100 Benchmark: SHA1 pts/hashcat-1.0.0 -m 11600 Benchmark: 7-Zip pts/hashcat-1.0.0 -m 1700 Benchmark: SHA-512 pts/hashcat-1.0.0 -m 6211 Benchmark: TrueCrypt RIPEMD160 + XTS pts/octanebench-1.3.0 Total Score pts/redshift-1.0.1 pts/financebench-1.0.0 Black-Scholes/OpenCL/blackScholesAnalyticEngine.exe Benchmark: Black-Scholes OpenCL 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/mandelgpu-1.3.1 0 1 OpenCL Device: GPU pts/viennacl-1.0.0 OpenCL LU Factorization 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/vkfft-1.1.0 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 -x Scale: 2x - Denoise: 3 - TAA: Yes