vulkan tests

AMD Ryzen Threadripper 3990X 64-Core testing with a Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS) and AMD Radeon RX 5700 8GB 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 2308016-PTS-VULKANTE10
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

NVIDIA GPU Compute 4 Tests
Vulkan Compute 4 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
a
August 01 2023
  7 Hours, 16 Minutes
b
August 01 2023
  14 Hours, 50 Minutes
c
August 01 2023
  7 Hours, 18 Minutes
Invert Hiding All Results Option
  9 Hours, 48 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


vulkan tests Suite 1.0.0 System Test suite extracted from vulkan tests. pts/ncnn-1.5.0 Target: Vulkan GPU - Model: alexnet pts/ncnn-1.5.0 -1 Target: CPU - Model: resnet50 pts/ncnn-1.5.0 -1 Target: CPU - Model: regnety_400m pts/ncnn-1.5.0 -1 Target: CPU - Model: vgg16 pts/ncnn-1.5.0 Target: Vulkan GPU - Model: vision_transformer pts/ncnn-1.5.0 Target: Vulkan GPU - Model: resnet50 pts/ncnn-1.5.0 -1 Target: CPU - Model: mobilenet pts/ncnn-1.5.0 Target: Vulkan GPU - Model: yolov4-tiny pts/ncnn-1.5.0 Target: Vulkan GPU - Model: mobilenet pts/ncnn-1.5.0 -1 Target: CPU - Model: squeezenet_ssd pts/ncnn-1.5.0 -1 Target: CPU - Model: resnet18 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: yolov4-tiny pts/ncnn-1.5.0 Target: Vulkan GPU - Model: regnety_400m pts/ncnn-1.5.0 Target: Vulkan GPU - Model: vgg16 pts/ncnn-1.5.0 Target: Vulkan GPU - Model: squeezenet_ssd pts/ncnn-1.5.0 Target: Vulkan GPU - Model: googlenet pts/vkpeak-1.1.0 fp32-scalar pts/vkpeak-1.1.0 fp32-vec4 pts/vkpeak-1.1.0 fp16-vec4 pts/vkfft-1.2.0 -vkfft 6 Test: FFT + iFFT R2C / C2R pts/vkpeak-1.1.0 int16-vec4 pts/vkfft-1.2.0 -vkfft 2 Test: FFT + iFFT C2C 1D batched in half precision pts/vkpeak-1.1.0 fp16-scalar pts/vkfft-1.2.0 -vkfft 3 Test: FFT + iFFT C2C multidimensional in single precision pts/vkfft-1.2.0 -vkfft 7 Test: FFT + iFFT C2C Bluestein in single precision pts/vkpeak-1.1.0 fp64-vec4 pts/vkpeak-1.1.0 fp64-scalar pts/vkpeak-1.1.0 int32-vec4 pts/vkpeak-1.1.0 int32-scalar pts/vkfft-1.2.0 -vkfft 8 Test: FFT + iFFT C2C Bluestein benchmark in double precision pts/vkpeak-1.1.0 int16-scalar pts/vkresample-1.0.2 -u 2 -p 0 Upscale: 2x - Precision: Single pts/vkfft-1.2.0 -vkfft 1 Test: FFT + iFFT C2C 1D batched in double precision pts/vkfft-1.2.0 -vkfft 0 Test: FFT + iFFT C2C 1D batched in single precision 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: FastestDet 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-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.5.0 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 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: alexnet 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-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.5.0 -1 Target: CPU-v2-v2 - Model: mobilenet-v2