lnxbuild-9-9900 Suite
1.0.0
System
Test suite extracted from lnxbuild-9-9900.
pts/build-linux-kernel-1.10.2
Time To Compile
pts/numpy-1.2.1
pts/graphics-magick-2.0.2
-swirl 90
Operation: Swirl
pts/graphics-magick-2.0.2
-rotate 90
Operation: Rotate
pts/graphics-magick-2.0.2
-sharpen 0x2.0
Operation: Sharpen
pts/graphics-magick-2.0.2
-enhance
Operation: Enhanced
pts/graphics-magick-2.0.2
-resize 50%
Operation: Resizing
pts/graphics-magick-2.0.2
-operator all Noise-Gaussian 30%
Operation: Noise-Gaussian
pts/graphics-magick-2.0.2
-colorspace HWB
Operation: HWB Color Space
pts/cython-bench-1.0.0
pts/x265-1.3.0
Bosphorus_3840x2160.y4m
Video Input: Bosphorus 4K
pts/x265-1.3.0
Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Video Input: Bosphorus 1080p
pts/ramspeed-1.4.3
ADD -b 3
Type: Add - Benchmark: Integer
pts/ramspeed-1.4.3
COPY -b 3
Type: Copy - Benchmark: Integer
pts/ramspeed-1.4.3
SCALE -b 3
Type: Scale - Benchmark: Integer
pts/ramspeed-1.4.3
TRIAD -b 3
Type: Triad - Benchmark: Integer
pts/ramspeed-1.4.3
AVERAGE -b 3
Type: Average - Benchmark: Integer
pts/ramspeed-1.4.3
ADD -b 6
Type: Add - Benchmark: Floating Point
pts/ramspeed-1.4.3
COPY -b 6
Type: Copy - Benchmark: Floating Point
pts/ramspeed-1.4.3
SCALE -b 6
Type: Scale - Benchmark: Floating Point
pts/ramspeed-1.4.3
TRIAD -b 6
Type: Triad - Benchmark: Floating Point
pts/ramspeed-1.4.3
AVERAGE -b 6
Type: Average - Benchmark: Floating Point
pts/compress-lz4-1.0.0
-b1 -e1
Compression Level: 1 - Compression Speed
pts/compress-lz4-1.0.0
-b1 -e1
Compression Level: 1 - Decompression Speed
pts/compress-lz4-1.0.0
-b3 -e3
Compression Level: 3 - Compression Speed
pts/compress-lz4-1.0.0
-b3 -e3
Compression Level: 3 - Decompression Speed
pts/compress-lz4-1.0.0
-b9 -e9
Compression Level: 9 - Compression Speed
pts/compress-lz4-1.0.0
-b9 -e9
Compression Level: 9 - Decompression Speed
pts/onednn-1.6.0
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
pts/onednn-1.6.0
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=u8s8f32 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.0
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-1.6.0
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
pts/onednn-1.6.0
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.0
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
pts/scimark2-1.3.2
TEST_COMPOSITE
Computational Test: Composite
pts/scimark2-1.3.2
TEST_MONTE
Computational Test: Monte Carlo
pts/scimark2-1.3.2
TEST_FFT
Computational Test: Fast Fourier Transform
pts/scimark2-1.3.2
TEST_SPARSE
Computational Test: Sparse Matrix Multiply
pts/scimark2-1.3.2
TEST_DENSE
Computational Test: Dense LU Matrix Factorization
pts/scimark2-1.3.2
TEST_SOR
Computational Test: Jacobi Successive Over-Relaxation
pts/luxcorerender-1.2.3
DLSC/LuxCoreScene/render.cfg
Scene: DLSC
pts/luxcorerender-1.2.3
RainbowColorsAndPrism/LuxCoreScene/render.cfg
Scene: Rainbow Colors and Prism
pts/hmmer-1.2.2
Pfam Database Search
pts/build-linux-kernel-1.15.0
defconfig
Build: defconfig
pts/build-linux-kernel-1.14.0
defconfig
Build: defconfig
pts/pybench-1.1.3
Total For Average Test Times
pts/cython-bench-1.1.0
NQUEENS
Test: N-Queens