Multi-Core
This test suite consists of tests that are able to take advantage of multi-core / multi-threaded / multi-processor systems. Among the many tests in this suite are encoding, compilation, and rendering tests.
See how your system performs with this suite using the Phoronix Test Suite. It's as easy as running the phoronix-test-suite benchmark multicore command..
Tests In This Suite
- Encoder Mode: Speed 6 Two-Pass
- Encoder Mode: Speed 4 Two-Pass
- Encoder Mode: Speed 8 Realtime
- Encoder Mode: Speed 6 Realtime
- Encoder Mode: Speed 0 Two-Pass
- Test: Writes
- Test: Reads
- Scene: Material Tester
- Scene: Emily
- Scene: Disney Material
- Test: BLAS CPU
- Test: tConvolve OpenCL
- Test: Hogbom Clean OpenMP
- Test: tConvolve MT
- Test: tConvolve OpenMP
- Test: tConvolve MPI
- Test: tConvolve CUDA
- Blend File: BMW27 - Compute: OpenCL
- Blend File: BMW27 - Compute: CPU-Only
- Blend File: Fishy Cat - Compute: CPU-Only
- Blend File: Barbershop - Compute: NVIDIA OptiX
- Blend File: BMW27 - Compute: NVIDIA OptiX
- Blend File: BMW27 - Compute: CUDA
- Blend File: Pabellon Barcelona - Compute: CUDA
- Blend File: Classroom - Compute: CPU-Only
- Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX
- Blend File: Barbershop - Compute: CPU-Only
- Blend File: Barbershop - Compute: OpenCL
- Blend File: Barbershop - Compute: CUDA
- Blend File: Pabellon Barcelona - Compute: OpenCL
- Blend File: Pabellon Barcelona - Compute: CPU-Only
- Blend File: Fishy Cat - Compute: NVIDIA OptiX
- Blend File: Fishy Cat - Compute: CUDA
- Blend File: Fishy Cat - Compute: OpenCL
- Blend File: Classroom - Compute: OpenCL
- Blend File: Classroom - Compute: CUDA
- Blend File: Classroom - Compute: NVIDIA OptiX
- Mode: NVIDIA RTX GPU
- Mode: CPU
- Mode: NVIDIA CUDA GPU
- Algorithm: Myriad-Groestl
- Algorithm: Quad SHA-256, Pyrite
- Algorithm: Skeincoin
- Algorithm: Magi
- Algorithm: Blake-2 S
- Algorithm: x25x
- Algorithm: Deepcoin
- Algorithm: Ringcoin
- Algorithm: Triple SHA-256, Onecoin
- Algorithm: Garlicoin
- Algorithm: LBC, LBRY Credits
- Video Input: Summer Nature 4K
- Video Input: Chimera 1080p 10-bit
- Video Input: Chimera 1080p
- Video Input: Summer Nature 1080p
- Binary: Pathtracer ISPC - Model: Asian Dragon Obj
- Binary: Pathtracer ISPC - Model: Asian Dragon
- Binary: Pathtracer - Model: Crown
- Binary: Pathtracer - Model: Asian Dragon Obj
- Binary: Pathtracer - Model: Asian Dragon
- Binary: Pathtracer ISPC - Model: Crown
- Operation: Sharpen
- Operation: Rotate
- Operation: Swirl
- Operation: Resizing
- Operation: Enhanced
- Operation: Noise-Gaussian
- Operation: HWB Color Space
- Input: water_GMX50_bare
- Acceleration: CPU - Scene: Supercar
- Acceleration: CPU - Scene: Bedroom
- Acceleration: OpenCL GPU - Scene: Supercar
- Acceleration: OpenCL GPU - Scene: Bedroom
- Test: IMB-MPI1 Sendrecv
- Test: IMB-P2P PingPong
- Test: IMB-MPI1 Exchange
- Test: IMB-MPI1 PingPong
- Scene: Memorial
- Test: Blowfish
- Test: MD5
- Video Input: Bosphorus 1080p - Video Preset: Slow
- Video Input: Bosphorus 4K - Video Preset: Very Fast
- Video Input: Bosphorus 1080p - Video Preset: Medium
- Video Input: Bosphorus 1080p - Video Preset: Very Fast
- Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
- Video Input: Bosphorus 4K - Video Preset: Slow
- Video Input: Bosphorus 4K - Video Preset: Medium
- Video Input: Bosphorus 4K - Video Preset: Ultra Fast
- Model: Rhodopsin Protein
- Model: 20k Atoms
- Encoder Speed: 10
- Encoder Speed: 10, Lossless
- Encoder Speed: 6, Lossless
- Encoder Speed: 2
- Encoder Speed: 6
- Encoder Speed: 0
- Video Input: Summer Nature 4K
- Video Input: Chimera 1080p 10-bit
- Video Input: Chimera 1080p
- Video Input: Summer Nature 1080p
- Scene: DLSC
- Scene: Rainbow Colors and Prism
- Clients: 128
- Clients: 8
- Clients: 32
- Clients: 16
- Clients: 4
- Clients: 1
- Clients: 64
- Clients: 512
- Clients: 256
- Test: Multi-Core
- Test: Single-Core
- Test / Class: IS.D
- Test / Class: CG.C
- Test / Class: MG.C
- Test / Class: SP.B
- Test / Class: FT.C
- Test / Class: EP.D
- Test / Class: EP.C
- Test / Class: LU.C
- Test / Class: BT.C
- Acceleration: All
- Acceleration: CPU
- Acceleration: GPU
- Test: Peak Half-Precision Compute
- Test: Peak Float16 Global Memory Bandwidth
- Test: Host-To-Device-To-Host Image Copy
- Test: Device-To-Host Bandwidth
- Test: Peak Kernel Launch Latency
- Test: Host-To-Device Bandwidth
- Test: Peak Integer Compute
- Test: Peak Double-Precision Compute
- Test: Peak Single-Precision Compute
- Test: Peak System Memory Copy to Shared Memory
- Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
- Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
- Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
- Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
- Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
- Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
- Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
- Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
- Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
- Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
- Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
- Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
- Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
- Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
- Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
- Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
- Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
- Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
- Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
- Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
- Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
- Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
- Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
- Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
- Model: Face Detection 0106 FP32 - Device: Intel GPU
- Model: Face Detection 0106 FP32 - Device: CPU
- Model: Age Gender Recognition Retail 0013 FP16 - Device: Intel GPU
- Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU
- Model: Age Gender Recognition Retail 0013 FP32 - Device: Intel GPU
- Model: Face Detection 0106 FP16 - Device: Intel GPU
- Model: Face Detection 0106 FP16 - Device: CPU
- Model: Person Detection 0106 FP32 - Device: Intel GPU
- Model: Person Detection 0106 FP32 - Device: CPU
- Model: Person Detection 0106 FP16 - Device: Intel GPU
- Model: Person Detection 0106 FP16 - Device: CPU
- Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
- Benchmark: vklBenchmarkUnstructuredVolume
- Benchmark: vklBenchmarkVdbVolume
- Benchmark: vklBenchmarkStructuredVolume
- Benchmark: vklBenchmark
- Demo: XFrog Forest - Renderer: SciVis
- Demo: Magnetic Reconnection - Renderer: Path Tracer
- Demo: Magnetic Reconnection - Renderer: SciVis
- Demo: XFrog Forest - Renderer: Path Tracer
- Demo: NASA Streamlines - Renderer: SciVis
- Demo: NASA Streamlines - Renderer: Path Tracer
- Demo: San Miguel - Renderer: SciVis
- Demo: San Miguel - Renderer: Path Tracer
- Test: OpenCL TPACF
- Test: OpenMP CUTCP
- Test: OpenMP MRI-Q
- Test: OpenMP Stencil
- Test: OpenMP LBM
- Test: OpenCL BFS
- Test: OpenCL LBM
- Test: OpenCL MRI Gridding
- Test: OpenCL Histo
- Test: OpenMP MRI Gridding
- Test: leblancbig
- Test: sedovbig
- Scaling: Buffer Test - Test: Normal Load - Mode: Read Only
- Test: SMP Parallel
- Test: Serial
- Speed: 10
- Speed: 6
- Speed: 5
- Speed: 1
- Test: OpenMP Leukocyte
- Test: OpenMP HotSpot3D
- Test: OpenMP Streamcluster
- Test: OpenCL Myocyte
- Test: OpenMP LavaMD
- Test: OpenMP CFD Solver
- Test: NVIDIA CUDA GPU Myocyte
- Test: OpenCL Particle Filter
- Encoder Mode: Enc Mode 4 - Input: 1080p
- Encoder Mode: Enc Mode 0 - Input: 1080p
- Encoder Mode: Enc Mode 8 - Input: 1080p
- Tuning: Visual Quality Optimized - Input: Bosphorus 1080p
- Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p
- Tuning: VMAF Optimized - Input: Bosphorus 1080p
- Test: CPU
- Test: Memory
- Scene: Hair
- Scene: Water Caustic
- Scene: Non-Exponential
- Scene: Volumetric Caustic
- Speed: Speed 5
- Speed: Speed 0
- Video Input: Bosphorus 1080p
- Video Input: Bosphorus 4K
- Compression Level: 3
- Compression Level: 8
- Compression Level: 8, Long Mode
- Compression Level: 19
- Compression Level: 19, Long Mode
- Compression Level: 3, Long Mode
Revision History
pts/multicore-1.4.2 Fri, 24 Jul 2020 17:48:43 GMT
Fix compress-zstd options.
pts/multicore-1.4.1 Wed, 17 Jun 2020 16:35:42 GMT
Use onednn rather than mkl-dnn.
pts/multicore-1.4.0 Wed, 08 Apr 2020 12:17:50 GMT
Add many more multi-threaded benchmarks to the list.
pts/multicore-1.3.0 Thu, 10 Oct 2019 14:50:15 GMT
Add more multicore test profiles.
pts/multicore-1.2.0 Fri, 10 May 2019 15:52:56 GMT
Update multi-core tests...
pts/multicore-1.1.0 Mon, 06 Dec 2010 23:31:03 GMT
Initial import into OpenBenchmarking.org