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Intel Core i5-1038NG7 testing with a Apple MacBook Pro and Intel Iris Plus 2GB on macOS 11.1 via the Phoronix Test Suite.
Intel Core i5-1038NG7
Processor: Intel Core i5-1038NG7 @ 2.00GHz (4 Cores / 8 Threads), Motherboard: Apple MacBook Pro, Memory: 2 x 8 GB LPDDR4X-3733MHz, Disk: 466GB, Graphics: Intel Iris Plus 2GB, Monitor: Color LCD
OS: macOS 11.1, Kernel: 20.2.0 (x86_64), Compiler: GCC 12.0.0 + Clang 12.0.0 + Xcode 12.3, File-System: APFS, Screen Resolution: 2560x1600
Environment Notes: LDFLAGS=-L/usr/local/opt/zlib/lib NVM_CD_FLAGS=-q CPPFLAGS=-I/usr/local/opt/zlib/include XPC_FLAGS=0x0
Processor Notes: CPU Microcode: 160
oneDNN
This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Intel Core i5-1038NG7
Processor: Intel Core i5-1038NG7 @ 2.00GHz (4 Cores / 8 Threads), Motherboard: Apple MacBook Pro, Memory: 2 x 8 GB LPDDR4X-3733MHz, Disk: 466GB, Graphics: Intel Iris Plus 2GB, Monitor: Color LCD
OS: macOS 11.1, Kernel: 20.2.0 (x86_64), Compiler: GCC 12.0.0 + Clang 12.0.0 + Xcode 12.3, File-System: APFS, Screen Resolution: 2560x1600
Environment Notes: LDFLAGS=-L/usr/local/opt/zlib/lib NVM_CD_FLAGS=-q CPPFLAGS=-I/usr/local/opt/zlib/include XPC_FLAGS=0x0
Processor Notes: CPU Microcode: 160
Testing initiated at 2 February 2021 22:46 by user gmatheu.