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