<?xml version="1.0"?>
<!--Phoronix Test Suite v10.8.4-->
<PhoronixTestSuite>
  <SuiteInformation>
    <Title>Core i7 4790K 202 Suite</Title>
    <Version>1.0.0</Version>
    <TestType>System</TestType>
    <Description>Test suite extracted from Core i7 4790K 202.</Description>
    <Maintainer> </Maintainer>
  </SuiteInformation>
  <Execute>
    <Test>pts/libplacebo-1.0.0</Test>
    <Description>Test: deband_heavy</Description>
  </Execute>
  <Execute>
    <Test>pts/libplacebo-1.0.0</Test>
    <Description>Test: polar_nocompute</Description>
  </Execute>
  <Execute>
    <Test>pts/libplacebo-1.0.0</Test>
    <Description>Test: hdr_peakdetect</Description>
  </Execute>
  <Execute>
    <Test>pts/libplacebo-1.0.0</Test>
    <Description>Test: av1_grain_lap</Description>
  </Execute>
  <Execute>
    <Test>pts/ddnet-1.0.1</Test>
    <Arguments>"gfx_screen_width 1920" "gfx_screen_height 1080" "gfx_fullscreen 1" "gfx_opengl_major 3" "gfx_opengl_minor 3" "gfx_opengl_patch 0" "cl_default_zoom 10" "play demos/RaiNyMore2_bench.demo"</Arguments>
    <Description>Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2</Description>
  </Execute>
  <Execute>
    <Test>pts/ddnet-1.0.1</Test>
    <Arguments>"gfx_screen_width 3840" "gfx_screen_height 2160" "gfx_fullscreen 1" "gfx_opengl_major 3" "gfx_opengl_minor 3" "gfx_opengl_patch 0" "cl_default_zoom 10" "play demos/RaiNyMore2_bench.demo"</Arguments>
    <Description>Resolution: 3840 x 2160 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2</Description>
  </Execute>
  <Execute>
    <Test>pts/ddnet-1.0.1</Test>
    <Arguments>"gfx_screen_width 1920" "gfx_screen_height 1080" "gfx_fullscreen 1" "gfx_opengl_major 3" "gfx_opengl_minor 3" "gfx_opengl_patch 0" "cl_default_zoom 10" "play demos/Multeasymap_bench.demo"</Arguments>
    <Description>Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap</Description>
  </Execute>
  <Execute>
    <Test>pts/ddnet-1.0.1</Test>
    <Arguments>"gfx_screen_width 3840" "gfx_screen_height 2160" "gfx_fullscreen 1" "gfx_opengl_major 3" "gfx_opengl_minor 3" "gfx_opengl_patch 0" "cl_default_zoom 10" "play demos/Multeasymap_bench.demo"</Arguments>
    <Description>Resolution: 3840 x 2160 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap</Description>
  </Execute>
  <Execute>
    <Test>pts/yquake2-1.0.1</Test>
    <Arguments>+set vid_renderer gl1 +set r_mode 21</Arguments>
    <Description>Renderer: OpenGL 1.x - Resolution: 1920 x 1080</Description>
  </Execute>
  <Execute>
    <Test>pts/yquake2-1.0.1</Test>
    <Arguments>+set vid_renderer gl1 +set r_mode 25</Arguments>
    <Description>Renderer: OpenGL 1.x - Resolution: 2560 x 1440</Description>
  </Execute>
  <Execute>
    <Test>pts/yquake2-1.0.1</Test>
    <Arguments>+set vid_renderer gl1 +set r_mode 29</Arguments>
    <Description>Renderer: OpenGL 1.x - Resolution: 3840 x 2160</Description>
  </Execute>
  <Execute>
    <Test>pts/yquake2-1.0.1</Test>
    <Arguments>+set vid_renderer gl3 +set r_mode 21</Arguments>
    <Description>Renderer: OpenGL 3.x - Resolution: 1920 x 1080</Description>
  </Execute>
  <Execute>
    <Test>pts/yquake2-1.0.1</Test>
    <Arguments>+set vid_renderer gl3 +set r_mode 25</Arguments>
    <Description>Renderer: OpenGL 3.x - Resolution: 2560 x 1440</Description>
  </Execute>
  <Execute>
    <Test>pts/yquake2-1.0.1</Test>
    <Arguments>+set vid_renderer gl3 +set r_mode 29</Arguments>
    <Description>Renderer: OpenGL 3.x - Resolution: 3840 x 2160</Description>
  </Execute>
  <Execute>
    <Test>pts/yquake2-1.0.1</Test>
    <Arguments>+set vid_renderer soft +set r_mode 21</Arguments>
    <Description>Renderer: Software CPU - Resolution: 1920 x 1080</Description>
  </Execute>
  <Execute>
    <Test>pts/yquake2-1.0.1</Test>
    <Arguments>+set vid_renderer soft +set r_mode 25</Arguments>
    <Description>Renderer: Software CPU - Resolution: 2560 x 1440</Description>
  </Execute>
  <Execute>
    <Test>pts/yquake2-1.0.1</Test>
    <Arguments>+set vid_renderer soft +set r_mode 29</Arguments>
    <Description>Renderer: Software CPU - Resolution: 3840 x 2160</Description>
  </Execute>
  <Execute>
    <Test>pts/embree-1.1.1</Test>
    <Arguments>pathtracer -c crown/crown.ecs</Arguments>
    <Description>Binary: Pathtracer - Model: Crown</Description>
  </Execute>
  <Execute>
    <Test>pts/embree-1.1.1</Test>
    <Arguments>pathtracer_ispc -c crown/crown.ecs</Arguments>
    <Description>Binary: Pathtracer ISPC - Model: Crown</Description>
  </Execute>
  <Execute>
    <Test>pts/embree-1.1.1</Test>
    <Arguments>pathtracer -c asian_dragon/asian_dragon.ecs</Arguments>
    <Description>Binary: Pathtracer - Model: Asian Dragon</Description>
  </Execute>
  <Execute>
    <Test>pts/embree-1.1.1</Test>
    <Arguments>pathtracer -c asian_dragon_obj/asian_dragon.ecs</Arguments>
    <Description>Binary: Pathtracer - Model: Asian Dragon Obj</Description>
  </Execute>
  <Execute>
    <Test>pts/embree-1.1.1</Test>
    <Arguments>pathtracer_ispc -c asian_dragon/asian_dragon.ecs</Arguments>
    <Description>Binary: Pathtracer ISPC - Model: Asian Dragon</Description>
  </Execute>
  <Execute>
    <Test>pts/embree-1.1.1</Test>
    <Arguments>pathtracer_ispc -c asian_dragon_obj/asian_dragon.ecs</Arguments>
    <Description>Binary: Pathtracer ISPC - Model: Asian Dragon Obj</Description>
  </Execute>
  <Execute>
    <Test>pts/kvazaar-1.0.0</Test>
    <Arguments>-i Bosphorus_3840x2160.y4m --preset slow</Arguments>
    <Description>Video Input: Bosphorus 4K - Video Preset: Slow</Description>
  </Execute>
  <Execute>
    <Test>pts/kvazaar-1.0.0</Test>
    <Arguments>-i Bosphorus_3840x2160.y4m --preset medium</Arguments>
    <Description>Video Input: Bosphorus 4K - Video Preset: Medium</Description>
  </Execute>
  <Execute>
    <Test>pts/kvazaar-1.0.0</Test>
    <Arguments>-i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset slow</Arguments>
    <Description>Video Input: Bosphorus 1080p - Video Preset: Slow</Description>
  </Execute>
  <Execute>
    <Test>pts/kvazaar-1.0.0</Test>
    <Arguments>-i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset medium</Arguments>
    <Description>Video Input: Bosphorus 1080p - Video Preset: Medium</Description>
  </Execute>
  <Execute>
    <Test>pts/kvazaar-1.0.0</Test>
    <Arguments>-i Bosphorus_3840x2160.y4m --preset veryfast</Arguments>
    <Description>Video Input: Bosphorus 4K - Video Preset: Very Fast</Description>
  </Execute>
  <Execute>
    <Test>pts/kvazaar-1.0.0</Test>
    <Arguments>-i Bosphorus_3840x2160.y4m --preset ultrafast</Arguments>
    <Description>Video Input: Bosphorus 4K - Video Preset: Ultra Fast</Description>
  </Execute>
  <Execute>
    <Test>pts/kvazaar-1.0.0</Test>
    <Arguments>-i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset veryfast</Arguments>
    <Description>Video Input: Bosphorus 1080p - Video Preset: Very Fast</Description>
  </Execute>
  <Execute>
    <Test>pts/kvazaar-1.0.0</Test>
    <Arguments>-i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset ultrafast</Arguments>
    <Description>Video Input: Bosphorus 1080p - Video Preset: Ultra Fast</Description>
  </Execute>
  <Execute>
    <Test>pts/rav1e-1.4.0</Test>
    <Arguments>-s 1 -l 20</Arguments>
    <Description>Speed: 1</Description>
  </Execute>
  <Execute>
    <Test>pts/rav1e-1.4.0</Test>
    <Arguments>-s 5 -l 60</Arguments>
    <Description>Speed: 5</Description>
  </Execute>
  <Execute>
    <Test>pts/rav1e-1.4.0</Test>
    <Arguments>-s 6 -l 60</Arguments>
    <Description>Speed: 6</Description>
  </Execute>
  <Execute>
    <Test>pts/rav1e-1.4.0</Test>
    <Arguments>-s 10 -l 90</Arguments>
    <Description>Speed: 10</Description>
  </Execute>
  <Execute>
    <Test>pts/x265-1.3.0</Test>
    <Arguments>Bosphorus_3840x2160.y4m</Arguments>
    <Description>Video Input: Bosphorus 4K</Description>
  </Execute>
  <Execute>
    <Test>pts/x265-1.3.0</Test>
    <Arguments>Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m</Arguments>
    <Description>Video Input: Bosphorus 1080p</Description>
  </Execute>
  <Execute>
    <Test>pts/hpcc-1.2.8</Test>
    <Arguments>PTRANS</Arguments>
    <Description>Test / Class: G-Ptrans</Description>
  </Execute>
  <Execute>
    <Test>pts/hpcc-1.2.8</Test>
    <Arguments>STARSTREAMTRIAD</Arguments>
    <Description>Test / Class: EP-STREAM Triad</Description>
  </Execute>
  <Execute>
    <Test>pts/hpcc-1.2.8</Test>
    <Arguments>RRINGBANDWIDTH</Arguments>
    <Description>Test / Class: Random Ring Bandwidth</Description>
  </Execute>
  <Execute>
    <Test>pts/simdjson-1.1.1</Test>
    <Arguments>Kostya</Arguments>
    <Description>Throughput Test: Kostya</Description>
  </Execute>
  <Execute>
    <Test>pts/simdjson-1.1.1</Test>
    <Arguments>LargeRandom</Arguments>
    <Description>Throughput Test: LargeRandom</Description>
  </Execute>
  <Execute>
    <Test>pts/simdjson-1.1.1</Test>
    <Arguments>PartialTweets</Arguments>
    <Description>Throughput Test: PartialTweets</Description>
  </Execute>
  <Execute>
    <Test>pts/simdjson-1.1.1</Test>
    <Arguments>DistinctUserID</Arguments>
    <Description>Throughput Test: DistinctUserID</Description>
  </Execute>
  <Execute>
    <Test>pts/hpcc-1.2.8</Test>
    <Arguments>HPL</Arguments>
    <Description>Test / Class: G-HPL</Description>
  </Execute>
  <Execute>
    <Test>pts/hpcc-1.2.8</Test>
    <Arguments>MPIFFT</Arguments>
    <Description>Test / Class: G-Ffte</Description>
  </Execute>
  <Execute>
    <Test>pts/hpcc-1.2.8</Test>
    <Arguments>STARDGEMMFLOPS</Arguments>
    <Description>Test / Class: EP-DGEMM</Description>
  </Execute>
  <Execute>
    <Test>pts/hpcc-1.2.8</Test>
    <Arguments>MPIRANDOMACCESS</Arguments>
    <Description>Test / Class: G-Random Access</Description>
  </Execute>
  <Execute>
    <Test>pts/coremark-1.0.1</Test>
    <Description>CoreMark Size 666 - Iterations Per Second</Description>
  </Execute>
  <Execute>
    <Test>pts/indigobench-1.1.0</Test>
    <Arguments>--cpuonly --scenes bedroom</Arguments>
    <Description>Acceleration: CPU - Scene: Bedroom</Description>
  </Execute>
  <Execute>
    <Test>pts/indigobench-1.1.0</Test>
    <Arguments>--cpuonly --scenes supercar</Arguments>
    <Description>Acceleration: CPU - Scene: Supercar</Description>
  </Execute>
  <Execute>
    <Test>pts/hpcc-1.2.8</Test>
    <Arguments>MAXPPBANDWIDTH</Arguments>
    <Description>Test / Class: Max Ping Pong Bandwidth</Description>
  </Execute>
  <Execute>
    <Test>pts/compress-lz4-1.0.0</Test>
    <Arguments>-b1 -e1</Arguments>
    <Description>Compression Level: 1 - Compression Speed</Description>
  </Execute>
  <Execute>
    <Test>pts/compress-lz4-1.0.0</Test>
    <Arguments>-b1 -e1</Arguments>
    <Description>Compression Level: 1 - Decompression Speed</Description>
  </Execute>
  <Execute>
    <Test>pts/compress-lz4-1.0.0</Test>
    <Arguments>-b3 -e3</Arguments>
    <Description>Compression Level: 3 - Compression Speed</Description>
  </Execute>
  <Execute>
    <Test>pts/compress-lz4-1.0.0</Test>
    <Arguments>-b3 -e3</Arguments>
    <Description>Compression Level: 3 - Decompression Speed</Description>
  </Execute>
  <Execute>
    <Test>pts/compress-lz4-1.0.0</Test>
    <Arguments>-b9 -e9</Arguments>
    <Description>Compression Level: 9 - Compression Speed</Description>
  </Execute>
  <Execute>
    <Test>pts/compress-lz4-1.0.0</Test>
    <Arguments>-b9 -e9</Arguments>
    <Description>Compression Level: 9 - Decompression Speed</Description>
  </Execute>
  <Execute>
    <Test>pts/stockfish-1.2.0</Test>
    <Description>Total Time</Description>
  </Execute>
  <Execute>
    <Test>pts/asmfish-1.1.2</Test>
    <Description>1024 Hash Memory, 26 Depth</Description>
  </Execute>
  <Execute>
    <Test>pts/gromacs-1.4.1</Test>
    <Description>Water Benchmark</Description>
  </Execute>
  <Execute>
    <Test>pts/lammps-1.3.0</Test>
    <Arguments>in.rhodo</Arguments>
    <Description>Model: Rhodopsin Protein</Description>
  </Execute>
  <Execute>
    <Test>pts/redis-1.3.0</Test>
    <Arguments>-t lpop</Arguments>
    <Description>Test: LPOP</Description>
  </Execute>
  <Execute>
    <Test>pts/redis-1.3.0</Test>
    <Arguments>-t sadd</Arguments>
    <Description>Test: SADD</Description>
  </Execute>
  <Execute>
    <Test>pts/redis-1.3.0</Test>
    <Arguments>-t lpush</Arguments>
    <Description>Test: LPUSH</Description>
  </Execute>
  <Execute>
    <Test>pts/redis-1.3.0</Test>
    <Arguments>-t get</Arguments>
    <Description>Test: GET</Description>
  </Execute>
  <Execute>
    <Test>pts/redis-1.3.0</Test>
    <Arguments>-t set</Arguments>
    <Description>Test: SET</Description>
  </Execute>
  <Execute>
    <Test>pts/node-web-tooling-1.0.0</Test>
  </Execute>
  <Execute>
    <Test>pts/numpy-1.2.1</Test>
  </Execute>
  <Execute>
    <Test>pts/phpbench-1.1.6</Test>
    <Description>PHP Benchmark Suite</Description>
  </Execute>
  <Execute>
    <Test>pts/clomp-1.1.1</Test>
    <Description>Static OMP Speedup</Description>
  </Execute>
  <Execute>
    <Test>pts/brl-cad-1.1.2</Test>
    <Description>VGR Performance Metric</Description>
  </Execute>
  <Execute>
    <Test>pts/onednn-1.6.0</Test>
    <Arguments>--ip --batch=inputs/ip/shapes_1d --cfg=f32 --engine=cpu</Arguments>
    <Description>Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU</Description>
  </Execute>
  <Execute>
    <Test>pts/onednn-1.6.0</Test>
    <Arguments>--ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu</Arguments>
    <Description>Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU</Description>
  </Execute>
  <Execute>
    <Test>pts/onednn-1.6.0</Test>
    <Arguments>--ip --batch=inputs/ip/shapes_1d --cfg=u8s8f32 --engine=cpu</Arguments>
    <Description>Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU</Description>
  </Execute>
  <Execute>
    <Test>pts/onednn-1.6.0</Test>
    <Arguments>--ip --batch=inputs/ip/shapes_3d --cfg=u8s8f32 --engine=cpu</Arguments>
    <Description>Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU</Description>
  </Execute>
  <Execute>
    <Test>pts/onednn-1.6.0</Test>
    <Arguments>--conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu</Arguments>
    <Description>Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU</Description>
  </Execute>
  <Execute>
    <Test>pts/onednn-1.6.0</Test>
    <Arguments>--deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpu</Arguments>
    <Description>Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU</Description>
  </Execute>
  <Execute>
    <Test>pts/onednn-1.6.0</Test>
    <Arguments>--deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu</Arguments>
    <Description>Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU</Description>
  </Execute>
  <Execute>
    <Test>pts/onednn-1.6.0</Test>
    <Arguments>--conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu</Arguments>
    <Description>Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU</Description>
  </Execute>
  <Execute>
    <Test>pts/onednn-1.6.0</Test>
    <Arguments>--deconv --batch=inputs/deconv/shapes_1d --cfg=u8s8f32 --engine=cpu</Arguments>
    <Description>Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU</Description>
  </Execute>
  <Execute>
    <Test>pts/onednn-1.6.0</Test>
    <Arguments>--deconv --batch=inputs/deconv/shapes_3d --cfg=u8s8f32 --engine=cpu</Arguments>
    <Description>Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU</Description>
  </Execute>
  <Execute>
    <Test>pts/onednn-1.6.0</Test>
    <Arguments>--rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu</Arguments>
    <Description>Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU</Description>
  </Execute>
  <Execute>
    <Test>pts/onednn-1.6.0</Test>
    <Arguments>--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu</Arguments>
    <Description>Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU</Description>
  </Execute>
  <Execute>
    <Test>pts/onednn-1.6.0</Test>
    <Arguments>--rnn --batch=inputs/rnn/perf_rnn_training --cfg=u8s8f32 --engine=cpu</Arguments>
    <Description>Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU</Description>
  </Execute>
  <Execute>
    <Test>pts/onednn-1.6.0</Test>
    <Arguments>--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu</Arguments>
    <Description>Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU</Description>
  </Execute>
  <Execute>
    <Test>pts/onednn-1.6.0</Test>
    <Arguments>--matmul --batch=inputs/matmul/shapes_transformer --cfg=f32 --engine=cpu</Arguments>
    <Description>Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU</Description>
  </Execute>
  <Execute>
    <Test>pts/onednn-1.6.0</Test>
    <Arguments>--rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu</Arguments>
    <Description>Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU</Description>
  </Execute>
  <Execute>
    <Test>pts/onednn-1.6.0</Test>
    <Arguments>--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu</Arguments>
    <Description>Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU</Description>
  </Execute>
  <Execute>
    <Test>pts/onednn-1.6.0</Test>
    <Arguments>--matmul --batch=inputs/matmul/shapes_transformer --cfg=u8s8f32 --engine=cpu</Arguments>
    <Description>Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU</Description>
  </Execute>
  <Execute>
    <Test>pts/ncnn-1.1.0</Test>
    <Arguments>-1</Arguments>
    <Description>Target: CPU - Model: mobilenet</Description>
  </Execute>
  <Execute>
    <Test>pts/ncnn-1.1.0</Test>
    <Arguments>-1</Arguments>
    <Description>Target: CPU-v2-v2 - Model: mobilenet-v2</Description>
  </Execute>
  <Execute>
    <Test>pts/ncnn-1.1.0</Test>
    <Arguments>-1</Arguments>
    <Description>Target: CPU-v3-v3 - Model: mobilenet-v3</Description>
  </Execute>
  <Execute>
    <Test>pts/ncnn-1.1.0</Test>
    <Arguments>-1</Arguments>
    <Description>Target: CPU - Model: shufflenet-v2</Description>
  </Execute>
  <Execute>
    <Test>pts/ncnn-1.1.0</Test>
    <Arguments>-1</Arguments>
    <Description>Target: CPU - Model: mnasnet</Description>
  </Execute>
  <Execute>
    <Test>pts/ncnn-1.1.0</Test>
    <Arguments>-1</Arguments>
    <Description>Target: CPU - Model: efficientnet-b0</Description>
  </Execute>
  <Execute>
    <Test>pts/ncnn-1.1.0</Test>
    <Arguments>-1</Arguments>
    <Description>Target: CPU - Model: blazeface</Description>
  </Execute>
  <Execute>
    <Test>pts/ncnn-1.1.0</Test>
    <Arguments>-1</Arguments>
    <Description>Target: CPU - Model: googlenet</Description>
  </Execute>
  <Execute>
    <Test>pts/ncnn-1.1.0</Test>
    <Arguments>-1</Arguments>
    <Description>Target: CPU - Model: vgg16</Description>
  </Execute>
  <Execute>
    <Test>pts/ncnn-1.1.0</Test>
    <Arguments>-1</Arguments>
    <Description>Target: CPU - Model: resnet18</Description>
  </Execute>
  <Execute>
    <Test>pts/ncnn-1.1.0</Test>
    <Arguments>-1</Arguments>
    <Description>Target: CPU - Model: alexnet</Description>
  </Execute>
  <Execute>
    <Test>pts/ncnn-1.1.0</Test>
    <Arguments>-1</Arguments>
    <Description>Target: CPU - Model: resnet50</Description>
  </Execute>
  <Execute>
    <Test>pts/ncnn-1.1.0</Test>
    <Arguments>-1</Arguments>
    <Description>Target: CPU - Model: yolov4-tiny</Description>
  </Execute>
  <Execute>
    <Test>pts/ncnn-1.1.0</Test>
    <Arguments>-1</Arguments>
    <Description>Target: CPU - Model: squeezenet_ssd</Description>
  </Execute>
  <Execute>
    <Test>pts/ncnn-1.1.0</Test>
    <Arguments>-1</Arguments>
    <Description>Target: CPU - Model: regnety_400m</Description>
  </Execute>
  <Execute>
    <Test>pts/ncnn-1.1.0</Test>
    <Description>Target: Vulkan GPU - Model: mobilenet</Description>
  </Execute>
  <Execute>
    <Test>pts/ncnn-1.1.0</Test>
    <Description>Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2</Description>
  </Execute>
  <Execute>
    <Test>pts/ncnn-1.1.0</Test>
    <Description>Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3</Description>
  </Execute>
  <Execute>
    <Test>pts/ncnn-1.1.0</Test>
    <Description>Target: Vulkan GPU - Model: shufflenet-v2</Description>
  </Execute>
  <Execute>
    <Test>pts/ncnn-1.1.0</Test>
    <Description>Target: Vulkan GPU - Model: mnasnet</Description>
  </Execute>
  <Execute>
    <Test>pts/ncnn-1.1.0</Test>
    <Description>Target: Vulkan GPU - Model: efficientnet-b0</Description>
  </Execute>
  <Execute>
    <Test>pts/ncnn-1.1.0</Test>
    <Description>Target: Vulkan GPU - Model: blazeface</Description>
  </Execute>
  <Execute>
    <Test>pts/ncnn-1.1.0</Test>
    <Description>Target: Vulkan GPU - Model: googlenet</Description>
  </Execute>
  <Execute>
    <Test>pts/ncnn-1.1.0</Test>
    <Description>Target: Vulkan GPU - Model: vgg16</Description>
  </Execute>
  <Execute>
    <Test>pts/ncnn-1.1.0</Test>
    <Description>Target: Vulkan GPU - Model: resnet18</Description>
  </Execute>
  <Execute>
    <Test>pts/ncnn-1.1.0</Test>
    <Description>Target: Vulkan GPU - Model: alexnet</Description>
  </Execute>
  <Execute>
    <Test>pts/ncnn-1.1.0</Test>
    <Description>Target: Vulkan GPU - Model: resnet50</Description>
  </Execute>
  <Execute>
    <Test>pts/ncnn-1.1.0</Test>
    <Description>Target: Vulkan GPU - Model: yolov4-tiny</Description>
  </Execute>
  <Execute>
    <Test>pts/ncnn-1.1.0</Test>
    <Description>Target: Vulkan GPU - Model: squeezenet_ssd</Description>
  </Execute>
  <Execute>
    <Test>pts/ncnn-1.1.0</Test>
    <Description>Target: Vulkan GPU - Model: regnety_400m</Description>
  </Execute>
  <Execute>
    <Test>pts/waifu2x-ncnn-1.0.0</Test>
    <Arguments>-s 2 -n 3</Arguments>
    <Description>Scale: 2x - Denoise: 3 - TAA: No</Description>
  </Execute>
  <Execute>
    <Test>pts/waifu2x-ncnn-1.0.0</Test>
    <Arguments>-s 2 -n 3 -x</Arguments>
    <Description>Scale: 2x - Denoise: 3 - TAA: Yes</Description>
  </Execute>
  <Execute>
    <Test>pts/betsy-1.0.0</Test>
    <Arguments>--codec=etc1 --quality=2</Arguments>
    <Description>Codec: ETC1 - Quality: Highest</Description>
  </Execute>
  <Execute>
    <Test>pts/betsy-1.0.0</Test>
    <Arguments>--codec=etc2_rgb --quality=2</Arguments>
    <Description>Codec: ETC2 RGB - Quality: Highest</Description>
  </Execute>
  <Execute>
    <Test>pts/hmmer-1.2.2</Test>
    <Description>Pfam Database Search</Description>
  </Execute>
  <Execute>
    <Test>pts/mafft-1.6.2</Test>
    <Description>Multiple Sequence Alignment - LSU RNA</Description>
  </Execute>
  <Execute>
    <Test>pts/build-ffmpeg-1.0.2</Test>
    <Description>Time To Compile</Description>
  </Execute>
  <Execute>
    <Test>pts/build2-1.1.0</Test>
    <Description>Time To Compile</Description>
  </Execute>
  <Execute>
    <Test>pts/espeak-1.6.1</Test>
    <Description>Text-To-Speech Synthesis</Description>
  </Execute>
  <Execute>
    <Test>pts/astcenc-1.0.2</Test>
    <Arguments>-fast</Arguments>
    <Description>Preset: Fast</Description>
  </Execute>
  <Execute>
    <Test>pts/astcenc-1.0.2</Test>
    <Arguments>-medium</Arguments>
    <Description>Preset: Medium</Description>
  </Execute>
  <Execute>
    <Test>pts/astcenc-1.0.2</Test>
    <Arguments>-thorough</Arguments>
    <Description>Preset: Thorough</Description>
  </Execute>
  <Execute>
    <Test>pts/astcenc-1.0.2</Test>
    <Arguments>-exhaustive</Arguments>
    <Description>Preset: Exhaustive</Description>
  </Execute>
  <Execute>
    <Test>pts/basis-1.0.2</Test>
    <Description>Settings: ETC1S</Description>
  </Execute>
  <Execute>
    <Test>pts/basis-1.0.2</Test>
    <Arguments>-uastc -uastc_level 0</Arguments>
    <Description>Settings: UASTC Level 0</Description>
  </Execute>
  <Execute>
    <Test>pts/basis-1.0.2</Test>
    <Arguments>-uastc -uastc_level 2</Arguments>
    <Description>Settings: UASTC Level 2</Description>
  </Execute>
  <Execute>
    <Test>pts/basis-1.0.2</Test>
    <Arguments>-uastc -uastc_level 3</Arguments>
    <Description>Settings: UASTC Level 3</Description>
  </Execute>
  <Execute>
    <Test>pts/basis-1.0.2</Test>
    <Arguments>-uastc -uastc_level 2 -uastc_rdo_q .75</Arguments>
    <Description>Settings: UASTC Level 2 + RDO Post-Processing</Description>
  </Execute>
  <Execute>
    <Test>pts/sqlite-speedtest-1.0.1</Test>
    <Description>Timed Time - Size 1,000</Description>
  </Execute>
  <Execute>
    <Test>pts/sunflow-1.1.3</Test>
    <Description>Global Illumination + Image Synthesis</Description>
  </Execute>
  <Execute>
    <Test>pts/build-eigen-1.1.0</Test>
    <Description>Time To Compile</Description>
  </Execute>
  <Execute>
    <Test>pts/encode-ape-1.4.0</Test>
    <Description>WAV To APE</Description>
  </Execute>
  <Execute>
    <Test>pts/encode-wavpack-1.4.0</Test>
    <Description>WAV To WavPack</Description>
  </Execute>
  <Execute>
    <Test>pts/hpcc-1.2.8</Test>
    <Arguments>RRINGLATENCY</Arguments>
    <Description>Test / Class: Random Ring Latency</Description>
  </Execute>
</PhoronixTestSuite>
