Xeon E3 oneAPI
Intel Xeon E3-1240 v5 testing with a ASRock E3V5 WS (P1.30 BIOS) and ASUS NVIDIA NV106 2GB on Clear Linux OS 32600 via the Phoronix Test Suite.


Intel Xeon E3-1240 v5: 

	Processor: Intel Xeon E3-1240 v5 @ 3.90GHz (4 Cores / 8 Threads), Motherboard: ASRock E3V5 WS (P1.30 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 8GB, Disk: 120GB SanDisk SDSSDA12, Graphics: ASUS NVIDIA NV106 2GB, Audio: Realtek ALC892, Monitor: G237HL, Network: Intel I219-LM

	OS: Clear Linux OS 32600, Kernel: 5.5.9-918.native (x86_64), Desktop: GNOME Shell 3.34.3, Display Server: X Server 1.20.7, Display Driver: nouveau 1.0.16, OpenGL: 4.3 Mesa 20.1.0-devel, Compiler: GCC 9.3.1 20200408 releases/gcc-9.3.0-123-g1a2a0af530 + Clang 9.0.1 + LLVM 9.0.1, File-System: ext4, Screen Resolution: 1920x1080


oneDNN MKL-DNN 1.3
Harness: IP Batch 1D - Data Type: f32
ms < Lower Is Better
Intel Xeon E3-1240 v5 . 16.93 |================================================


oneDNN MKL-DNN 1.3
Harness: IP Batch All - Data Type: f32
ms < Lower Is Better
Intel Xeon E3-1240 v5 . 110.35 |===============================================


oneDNN MKL-DNN 1.3
Harness: Deconvolution Batch deconv_1d - Data Type: f32
ms < Lower Is Better
Intel Xeon E3-1240 v5 . 9.16041 |==============================================


oneDNN MKL-DNN 1.3
Harness: Deconvolution Batch deconv_3d - Data Type: f32
ms < Lower Is Better
Intel Xeon E3-1240 v5 . 13.36 |================================================


oneDNN MKL-DNN 1.3
Harness: Recurrent Neural Network Training - Data Type: f32
ms < Lower Is Better
Intel Xeon E3-1240 v5 . 449.63 |===============================================


oneDNN MKL-DNN 1.3
Harness: Recurrent Neural Network Inference - Data Type: f32
ms < Lower Is Better
Intel Xeon E3-1240 v5 . 95.37 |================================================


Intel Open Image Denoise 1.2.0
Scene: Memorial
Images / Sec > Higher Is Better
Intel Xeon E3-1240 v5 . 3.88 |=================================================