vulkan benchmarks

AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG STRIX X670E-E GAMING WIFI (1416 BIOS) and AMD Radeon RX 6700 XT on Ubuntu 23.04 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 2308012-PTS-VULKANBE49
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NVIDIA GPU Compute 4 Tests
Vulkan Compute 4 Tests

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August 01 2023
  3 Hours, 11 Minutes
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August 01 2023
  1 Hour, 30 Minutes
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August 01 2023
  1 Hour, 32 Minutes
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vulkan benchmarks Suite 1.0.0 System Test suite extracted from vulkan benchmarks. pts/vkpeak-1.1.0 int16-vec4 pts/vkpeak-1.1.0 int16-scalar pts/vkpeak-1.1.0 int32-vec4 pts/vkpeak-1.1.0 int32-scalar pts/vkpeak-1.1.0 fp64-vec4 pts/vkpeak-1.1.0 fp64-scalar pts/vkpeak-1.1.0 fp16-vec4 pts/vkpeak-1.1.0 fp16-scalar pts/vkpeak-1.1.0 fp32-vec4 pts/vkpeak-1.1.0 fp32-scalar pts/vkfft-1.2.0 -vkfft 1 Test: FFT + iFFT C2C 1D batched in double precision pts/ncnn-1.5.0 -1 Target: CPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.5.0 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 pts/vkfft-1.2.0 -vkfft 8 Test: FFT + iFFT C2C Bluestein benchmark in double precision pts/vkfft-1.2.0 -vkfft 0 Test: FFT + iFFT C2C 1D batched in single precision pts/ncnn-1.5.0 -1 Target: CPU - Model: FastestDet pts/ncnn-1.5.0 -1 Target: CPU - Model: vision_transformer pts/ncnn-1.5.0 -1 Target: CPU - Model: regnety_400m pts/ncnn-1.5.0 -1 Target: CPU - Model: squeezenet_ssd pts/ncnn-1.5.0 -1 Target: CPU - Model: yolov4-tiny pts/ncnn-1.5.0 -1 Target: CPU - Model: resnet50 pts/ncnn-1.5.0 -1 Target: CPU - Model: alexnet pts/ncnn-1.5.0 -1 Target: CPU - Model: resnet18 pts/ncnn-1.5.0 -1 Target: CPU - Model: vgg16 pts/ncnn-1.5.0 -1 Target: CPU - Model: googlenet pts/ncnn-1.5.0 -1 Target: CPU - Model: blazeface pts/ncnn-1.5.0 -1 Target: CPU - Model: efficientnet-b0 pts/ncnn-1.5.0 -1 Target: CPU - Model: mnasnet pts/ncnn-1.5.0 -1 Target: CPU - Model: shufflenet-v2 pts/ncnn-1.5.0 -1 Target: CPU-v2-v2 - Model: mobilenet-v2 pts/ncnn-1.5.0 -1 Target: CPU - Model: mobilenet pts/ncnn-1.5.0 Target: Vulkan GPU - Model: FastestDet pts/ncnn-1.5.0 Target: Vulkan GPU - Model: vision_transformer pts/ncnn-1.5.0 Target: Vulkan GPU - Model: regnety_400m pts/ncnn-1.5.0 Target: Vulkan GPU - Model: squeezenet_ssd pts/ncnn-1.5.0 Target: Vulkan GPU - Model: yolov4-tiny pts/ncnn-1.5.0 Target: Vulkan GPU - Model: resnet50 pts/ncnn-1.5.0 Target: Vulkan GPU - Model: alexnet pts/ncnn-1.5.0 Target: Vulkan GPU - Model: resnet18 pts/ncnn-1.5.0 Target: Vulkan GPU - Model: vgg16 pts/ncnn-1.5.0 Target: Vulkan GPU - Model: googlenet pts/ncnn-1.5.0 Target: Vulkan GPU - Model: blazeface pts/ncnn-1.5.0 Target: Vulkan GPU - Model: efficientnet-b0 pts/ncnn-1.5.0 Target: Vulkan GPU - Model: mnasnet pts/ncnn-1.5.0 Target: Vulkan GPU - Model: shufflenet-v2 pts/ncnn-1.5.0 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 pts/ncnn-1.5.0 Target: Vulkan GPU - Model: mobilenet pts/vkfft-1.2.0 -vkfft 5 Test: FFT + iFFT C2C 1D batched in single precision, no reshuffling pts/ncnn-1.5.0 -1 Target: CPU-v3-v3-v3 - Model: FastestDet pts/ncnn-1.5.0 -1 Target: CPU-v3-v3-v3 - Model: vision_transformer pts/ncnn-1.5.0 -1 Target: CPU-v3-v3-v3 - Model: regnety_400m pts/ncnn-1.5.0 -1 Target: CPU-v3-v3-v3 - Model: squeezenet_ssd pts/ncnn-1.5.0 -1 Target: CPU-v3-v3-v3 - Model: yolov4-tiny pts/ncnn-1.5.0 -1 Target: CPU-v3-v3-v3 - Model: resnet50 pts/ncnn-1.5.0 -1 Target: CPU-v3-v3-v3 - Model: alexnet pts/ncnn-1.5.0 -1 Target: CPU-v3-v3-v3 - Model: resnet18 pts/ncnn-1.5.0 -1 Target: CPU-v3-v3-v3 - Model: vgg16 pts/ncnn-1.5.0 -1 Target: CPU-v3-v3-v3 - Model: googlenet pts/ncnn-1.5.0 -1 Target: CPU-v3-v3-v3 - Model: blazeface pts/ncnn-1.5.0 -1 Target: CPU-v3-v3-v3 - Model: efficientnet-b0 pts/ncnn-1.5.0 -1 Target: CPU-v3-v3-v3 - Model: mnasnet pts/ncnn-1.5.0 -1 Target: CPU-v3-v3-v3 - Model: shufflenet-v2 pts/ncnn-1.5.0 -1 Target: CPU-v3-v3-v3-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.5.0 -1 Target: CPU-v3-v3-v3-v2-v2 - Model: mobilenet-v2 pts/ncnn-1.5.0 -1 Target: CPU-v3-v3-v3 - Model: mobilenet pts/ncnn-1.5.0 Target: Vulkan GPU-v3-v3-v3 - Model: FastestDet pts/ncnn-1.5.0 Target: Vulkan GPU-v3-v3-v3 - Model: vision_transformer pts/ncnn-1.5.0 Target: Vulkan GPU-v3-v3-v3 - Model: regnety_400m pts/ncnn-1.5.0 Target: Vulkan GPU-v3-v3-v3 - Model: squeezenet_ssd pts/ncnn-1.5.0 Target: Vulkan GPU-v3-v3-v3 - Model: yolov4-tiny pts/ncnn-1.5.0 Target: Vulkan GPU-v3-v3-v3 - Model: resnet50 pts/ncnn-1.5.0 Target: Vulkan GPU-v3-v3-v3 - Model: alexnet pts/ncnn-1.5.0 Target: Vulkan GPU-v3-v3-v3 - Model: resnet18 pts/ncnn-1.5.0 Target: Vulkan GPU-v3-v3-v3 - Model: vgg16 pts/ncnn-1.5.0 Target: Vulkan GPU-v3-v3-v3 - Model: googlenet pts/ncnn-1.5.0 Target: Vulkan GPU-v3-v3-v3 - Model: blazeface pts/ncnn-1.5.0 Target: Vulkan GPU-v3-v3-v3 - Model: efficientnet-b0 pts/ncnn-1.5.0 Target: Vulkan GPU-v3-v3-v3 - Model: mnasnet pts/ncnn-1.5.0 Target: Vulkan GPU-v3-v3-v3 - Model: shufflenet-v2 pts/ncnn-1.5.0 Target: Vulkan GPU-v3-v3-v3-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.5.0 Target: Vulkan GPU-v3-v3-v3-v2-v2 - Model: mobilenet-v2 pts/ncnn-1.5.0 Target: Vulkan GPU-v3-v3-v3 - Model: mobilenet pts/vkfft-1.2.0 -vkfft 7 Test: FFT + iFFT C2C Bluestein in single precision pts/vkfft-1.2.0 -vkfft 2 Test: FFT + iFFT C2C 1D batched in half precision pts/vkfft-1.2.0 -vkfft 3 Test: FFT + iFFT C2C multidimensional in single precision pts/vkfft-1.2.0 -vkfft 6 Test: FFT + iFFT R2C / C2R pts/vkresample-1.0.2 -u 2 -p 0 Upscale: 2x - Precision: Single