2970WX April 2022 Suite
1.0.0
System
Test suite extracted from 2970WX April 2022.
pts/libgav1-1.2.1
chimera_8b_1080p.ivf
Video Input: Chimera 1080p
pts/libgav1-1.2.1
summer_nature_4k.ivf
Video Input: Summer Nature 4K
pts/libgav1-1.2.1
summer_nature_1080p.ivf
Video Input: Summer Nature 1080p
pts/libgav1-1.2.1
chimera_10b_1080p.ivf
Video Input: Chimera 1080p 10-bit
pts/aom-av1-3.3.0
--cpu-used=0 --limit=20 Bosphorus_3840x2160.y4m
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K
pts/aom-av1-3.3.0
--cpu-used=4 Bosphorus_3840x2160.y4m
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K
pts/aom-av1-3.3.0
--cpu-used=6 --rt Bosphorus_3840x2160.y4m
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K
pts/aom-av1-3.3.0
--cpu-used=6 Bosphorus_3840x2160.y4m
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K
pts/aom-av1-3.3.0
--cpu-used=8 --rt Bosphorus_3840x2160.y4m
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K
pts/aom-av1-3.3.0
--cpu-used=9 --rt Bosphorus_3840x2160.y4m
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K
pts/aom-av1-3.3.0
--cpu-used=10 --rt Bosphorus_3840x2160.y4m
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K
pts/aom-av1-3.3.0
--cpu-used=0 --limit=20 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p
pts/aom-av1-3.3.0
--cpu-used=4 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p
pts/aom-av1-3.3.0
--cpu-used=6 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p
pts/aom-av1-3.3.0
--cpu-used=6 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p
pts/aom-av1-3.3.0
--cpu-used=8 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p
pts/aom-av1-3.3.0
--cpu-used=9 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p
pts/aom-av1-3.3.0
--cpu-used=10 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p
pts/svt-av1-2.5.0
--preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Encoder Mode: Preset 8 - Input: Bosphorus 4K
pts/svt-av1-2.5.0
--preset 10 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Encoder Mode: Preset 10 - Input: Bosphorus 4K
pts/svt-av1-2.5.0
--preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Encoder Mode: Preset 12 - Input: Bosphorus 4K
pts/svt-av1-2.5.0
--preset 4 -n 160 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
pts/svt-av1-2.5.0
--preset 8 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
pts/svt-av1-2.5.0
--preset 10 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Encoder Mode: Preset 10 - Input: Bosphorus 1080p
pts/svt-av1-2.5.0
--preset 12 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
pts/ospray-2.9.0
--benchmark_filter=particle_volume/ao/real_time
Benchmark: particle_volume/ao/real_time
pts/ospray-2.9.0
--benchmark_filter=particle_volume/scivis/real_time
Benchmark: particle_volume/scivis/real_time
pts/ospray-2.9.0
--benchmark_filter=particle_volume/pathtracer/real_time
Benchmark: particle_volume/pathtracer/real_time
pts/ospray-2.9.0
--benchmark_filter=gravity_spheres_volume/dim_512/ao/real_time
Benchmark: gravity_spheres_volume/dim_512/ao/real_time
pts/ospray-2.9.0
--benchmark_filter=gravity_spheres_volume/dim_512/scivis/real_time
Benchmark: gravity_spheres_volume/dim_512/scivis/real_time
pts/ospray-2.9.0
--benchmark_filter=gravity_spheres_volume/dim_512/pathtracer/real_time
Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time
pts/avifenc-1.2.0
-s 0
Encoder Speed: 0
pts/avifenc-1.2.0
-s 2
Encoder Speed: 2
pts/avifenc-1.2.0
-s 6
Encoder Speed: 6
pts/avifenc-1.2.0
-s 6 -l
Encoder Speed: 6, Lossless
pts/avifenc-1.2.0
-s 10 -l
Encoder Speed: 10, Lossless
pts/build-linux-kernel-1.13.0
defconfig
Build: defconfig
pts/build-linux-kernel-1.13.0
allmodconfig
Build: allmodconfig
pts/build-mplayer-1.5.0
Time To Compile
pts/compress-pbzip2-1.6.0
FreeBSD-13.0-RELEASE-amd64-memstick.img Compression
pts/onednn-1.8.0
--ip --batch=inputs/ip/shapes_1d --cfg=f32 --engine=cpu
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
pts/onednn-1.8.0
--ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
pts/onednn-1.8.0
--ip --batch=inputs/ip/shapes_1d --cfg=u8s8f32 --engine=cpu
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.8.0
--ip --batch=inputs/ip/shapes_3d --cfg=u8s8f32 --engine=cpu
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.8.0
--conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
pts/onednn-1.8.0
--deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpu
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
pts/onednn-1.8.0
--deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
pts/onednn-1.8.0
--conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.8.0
--deconv --batch=inputs/deconv/shapes_1d --cfg=u8s8f32 --engine=cpu
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.8.0
--deconv --batch=inputs/deconv/shapes_3d --cfg=u8s8f32 --engine=cpu
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.8.0
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
pts/onednn-1.8.0
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
pts/onednn-1.8.0
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=u8s8f32 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.8.0
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.8.0
--matmul --batch=inputs/matmul/shapes_transformer --cfg=f32 --engine=cpu
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
pts/onednn-1.8.0
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-1.8.0
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-1.8.0
--matmul --batch=inputs/matmul/shapes_transformer --cfg=u8s8f32 --engine=cpu
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
pts/ospray-studio-1.0.1
--cameras 1 1 --resolution 1920 1080 --spp 1 --renderer pathtracer
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer
pts/ospray-studio-1.0.1
--cameras 2 2 --resolution 1920 1080 --spp 1 --renderer pathtracer
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer
pts/ospray-studio-1.0.1
--cameras 3 3 --resolution 1920 1080 --spp 1 --renderer pathtracer
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer
pts/ospray-studio-1.0.1
--cameras 1 1 --resolution 1920 1080 --spp 16 --renderer pathtracer
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer
pts/ospray-studio-1.0.1
--cameras 1 1 --resolution 1920 1080 --spp 32 --renderer pathtracer
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
pts/ospray-studio-1.0.1
--cameras 2 2 --resolution 1920 1080 --spp 16 --renderer pathtracer
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer
pts/ospray-studio-1.0.1
--cameras 2 2 --resolution 1920 1080 --spp 32 --renderer pathtracer
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
pts/ospray-studio-1.0.1
--cameras 3 3 --resolution 1920 1080 --spp 16 --renderer pathtracer
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer
pts/ospray-studio-1.0.1
--cameras 3 3 --resolution 1920 1080 --spp 32 --renderer pathtracer
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
pts/build-wasmer-1.1.0
Time To Compile
pts/tachyon-1.3.0
Total Time
pts/webp2-1.1.0
Encode Settings: Default
pts/webp2-1.1.0
-q 75 -effort 7
Encode Settings: Quality 75, Compression Effort 7
pts/webp2-1.1.0
-q 95 -effort 7
Encode Settings: Quality 95, Compression Effort 7
pts/webp2-1.1.0
-q 100 -effort 5
Encode Settings: Quality 100, Compression Effort 5
pts/webp2-1.1.0
-q 100 -effort 9
Encode Settings: Quality 100, Lossless Compression
pts/openjpeg-1.0.0
-i PIA23623_M34.tif -o out.jp2 -t 1024,1024
Encode: NASA Curiosity Panorama M34
pts/draco-1.5.0
-i lion.ply
Model: Lion
pts/draco-1.5.0
-i church.ply
Model: Church Facade
pts/gpaw-1.1.0
carbon-nanotube
Input: Carbon Nanotube
pts/rocksdb-1.2.0
--benchmarks="readrandom"
Test: Random Read
pts/rocksdb-1.2.0
--benchmarks="updaterandom"
Test: Update Random
pts/rocksdb-1.2.0
--benchmarks="readwhilewriting"
Test: Read While Writing
pts/rocksdb-1.2.0
--benchmarks="readrandomwriterandom"
Test: Read Random Write Random
pts/java-jmh-1.0.1
Throughput
pts/influxdb-1.0.1
-c 4 -b 10000 -t 2,5000,1 -p 10000
Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
pts/influxdb-1.0.1
-c 64 -b 10000 -t 2,5000,1 -p 10000
Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
pts/influxdb-1.0.1
-c 1024 -b 10000 -t 2,5000,1 -p 10000
Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000