July Tests Suite
1.0.0
System
Test suite extracted from July Tests.
pts/rodinia-1.3.1
OMP_LAVAMD
Test: OpenMP LavaMD
pts/ai-benchmark-1.0.0
Device AI Score
pts/ai-benchmark-1.0.0
Device Training Score
pts/ai-benchmark-1.0.0
Device Inference Score
pts/daphne-1.0.0
OpenMP points2image
Backend: OpenMP - Kernel: Points2Image
pts/astcenc-1.0.0
-exhaustive
Preset: Exhaustive
pts/rodinia-1.3.1
OMP_LEUKOCYTE
Test: OpenMP Leukocyte
pts/luxcorerender-1.2.3
RainbowColorsAndPrism/LuxCoreScene/render.cfg
Scene: Rainbow Colors and Prism
pts/namd-1.2.0
ATPase Simulation - 327,506 Atoms
pts/rodinia-1.3.1
OMP_HOTSPOT3D
Test: OpenMP HotSpot3D
pts/geekbench-1.2.0
--multi-core
Test: CPU Multi Core - Horizon Detection
pts/geekbench-1.2.0
--multi-core
Test: CPU Multi Core - Face Detection
pts/geekbench-1.2.0
--multi-core
Test: CPU Multi Core - Gaussian Blur
pts/geekbench-1.2.0
--multi-core
Test: CPU Multi Core
pts/compress-zstd-1.2.0
-b3
Compression Level: 3
pts/avifenc-1.0.0
-s 0
Encoder Speed: 0
pts/compress-zstd-1.2.0
-b19
Compression Level: 19
pts/montage-1.0.0
Mosaic of M17, K band, 1.5 deg x 1.5 deg
pts/onednn-1.5.0
--ip --batch=inputs/ip/ip_all --cfg=f32 --engine=cpu
Harness: IP Batch All - Data Type: f32 - Engine: CPU
pts/build-linux-kernel-1.10.2
Time To Compile
system/hugin-1.0.0
Panorama Photo Assistant + Stitching Time
pts/luxcorerender-1.2.3
DLSC/LuxCoreScene/render.cfg
Scene: DLSC
pts/avifenc-1.0.0
-s 2
Encoder Speed: 2
pts/onednn-1.5.0
--ip --batch=inputs/ip/ip_all --cfg=bf16bf16bf16 --engine=cpu
Harness: IP Batch All - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-1.5.0
--ip --batch=inputs/ip/ip_all --cfg=u8s8f32 --engine=cpu
Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU
pts/geekbench-1.2.0
--single-core
Test: CPU Single Core - Horizon Detection
pts/geekbench-1.2.0
--single-core
Test: CPU Single Core - Face Detection
pts/geekbench-1.2.0
--single-core
Test: CPU Single Core - Gaussian Blur
pts/geekbench-1.2.0
--single-core
Test: CPU Single Core
pts/aom-av1-2.1.1
--cpu-used=8 --rt
Encoder Mode: Speed 8 Realtime
pts/onednn-1.5.0
--rnn --batch=inputs/rnn/rnn_training --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
pts/onednn-1.5.0
--rnn --batch=inputs/rnn/rnn_inference --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
pts/aom-av1-2.1.1
--cpu-used=6 --rt
Encoder Mode: Speed 6 Realtime
pts/aom-av1-2.1.1
--cpu-used=0 --limit=10
Encoder Mode: Speed 0 Two-Pass
pts/aom-av1-2.1.1
--cpu-used=6 --limit=80
Encoder Mode: Speed 6 Two-Pass
system/ocrmypdf-1.0.0
Processing 60 Page PDF Document
pts/astcenc-1.0.0
-thorough
Preset: Thorough
pts/onednn-1.5.0
--matmul --batch=inputs/matmul/shapes_transformer --cfg=u8s8f32 --engine=cpu
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.5.0
--deconv --batch=inputs/deconv/deconv_1d --cfg=u8s8f32 --engine=cpu
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU
pts/daphne-1.0.0
OpenMP ndt_mapping
Backend: OpenMP - Kernel: NDT Mapping
pts/onednn-1.5.0
--ip --batch=inputs/ip/ip_1d --cfg=f32 --engine=cpu
Harness: IP Batch 1D - Data Type: f32 - Engine: CPU
pts/aom-av1-2.1.1
--cpu-used=4 --limit=40
Encoder Mode: Speed 4 Two-Pass
pts/rodinia-1.3.1
OMP_CFD
Test: OpenMP CFD Solver
pts/daphne-1.0.0
OpenMP euclidean_cluster
Backend: OpenMP - Kernel: Euclidean Cluster
pts/build-apache-1.6.1
Time To Compile
pts/onednn-1.5.0
--ip --batch=inputs/ip/ip_1d --cfg=u8s8f32 --engine=cpu
Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.5.0
--deconv --batch=inputs/deconv/deconv_1d --cfg=bf16bf16bf16 --engine=cpu
Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-1.5.0
--deconv --batch=inputs/deconv/deconv_1d --cfg=f32 --engine=cpu
Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU
pts/rodinia-1.3.1
OMP_STREAMCLUSTER
Test: OpenMP Streamcluster
pts/onednn-1.5.0
--ip --batch=inputs/ip/ip_1d --cfg=bf16bf16bf16 --engine=cpu
Harness: IP Batch 1D - Data Type: bf16bf16bf16 - Engine: CPU
pts/neatbench-1.0.4
cpu
Acceleration: CPU
pts/onednn-1.5.0
--matmul --batch=inputs/matmul/shapes_transformer --cfg=f32 --engine=cpu
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
pts/onednn-1.5.0
--matmul --batch=inputs/matmul/shapes_transformer --cfg=bf16bf16bf16 --engine=cpu
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
pts/astcenc-1.0.0
-medium
Preset: Medium
pts/avifenc-1.0.0
-s 8
Encoder Speed: 8
pts/avifenc-1.0.0
-s 10
Encoder Speed: 10
pts/astcenc-1.0.0
-fast
Preset: Fast
pts/onednn-1.5.0
--deconv --batch=inputs/deconv/deconv_3d --cfg=u8s8f32 --engine=cpu
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.5.0
--deconv --batch=inputs/deconv/deconv_3d --cfg=f32 --engine=cpu
Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU
pts/onednn-1.5.0
--deconv --batch=inputs/deconv/deconv_3d --cfg=bf16bf16bf16 --engine=cpu
Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16 - Engine: CPU