oneapi-macbook-pro-big-sur Apple M1 testing with a Apple MacBook Pro and Apple M1 on macOS 11.7 via the Phoronix Test Suite. oneapi-macbook-pro-big-sur: Processor: Apple M1 (8 Cores), Motherboard: Apple MacBook Pro, Memory: 16GB, Disk: 927GB, Graphics: Apple M1, Monitor: Color LCD OS: macOS 11.7, Kernel: 20.6.0 (arm64), Compiler: GCC 13.0.0 + Clang 13.0.0, File-System: APFS, Screen Resolution: 2880x1800 Embree 3.13 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better Embree 3.13 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better Embree 3.13 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better Embree 3.13 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second > Higher Is Better Embree 3.13 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better Embree 3.13 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second > Higher Is Better Intel Open Image Denoise 1.4.0 Run: RT.hdr_alb_nrm.3840x2160 Images / Sec > Higher Is Better oneapi-macbook-pro-big-sur . 0.08 |============================================ Intel Open Image Denoise 1.4.0 Run: RT.ldr_alb_nrm.3840x2160 Images / Sec > Higher Is Better oneapi-macbook-pro-big-sur . 0.08 |============================================ Intel Open Image Denoise 1.4.0 Run: RTLightmap.hdr.4096x4096 Images / Sec > Higher Is Better oneapi-macbook-pro-big-sur . 0.04 |============================================ OpenVKL 1.0 Benchmark: vklBenchmark ISPC Items / Sec > Higher Is Better OpenVKL 1.0 Benchmark: vklBenchmark Scalar Items / Sec > Higher Is Better OSPRay 2.10 Benchmark: particle_volume/ao/real_time Items Per Second > Higher Is Better OSPRay 2.10 Benchmark: particle_volume/scivis/real_time Items Per Second > Higher Is Better OSPRay 2.10 Benchmark: particle_volume/pathtracer/real_time Items Per Second > Higher Is Better OSPRay 2.10 Benchmark: gravity_spheres_volume/dim_512/ao/real_time Items Per Second > Higher Is Better OSPRay 2.10 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time Items Per Second > Higher Is Better OSPRay 2.10 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time Items Per Second > Higher Is Better oneDNN 2.7 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better