xoamsrvplaidml 2 x Intel Xeon Gold 6242R testing with a Supermicro X11DPH-T v1.10 (3.4 BIOS) and llvmpipe on Ubuntu 20.04 via the Phoronix Test Suite. xoamsrvplaidml: Processor: 2 x Intel Xeon Gold 6242R @ 4.10GHz (40 Cores / 80 Threads), Motherboard: Supermicro X11DPH-T v1.10 (3.4 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 640GB, Disk: 800GB Micron_7300_MTFDHBA800TDG + 2 x 3201GB SAMSUNG MZPLJ3T2HBJR-00007, Graphics: llvmpipe, Audio: NVIDIA Device 1aef, Monitor: LC27RG50, Network: 2 x Intel X722 for 10GBASE-T OS: Ubuntu 20.04, Kernel: 5.15.0-46-generic (x86_64), Desktop: GNOME Shell 3.36.9, Display Server: X Server 1.20.11, Display Driver: NVIDIA, OpenGL: 4.5 Mesa 21.2.6 (LLVM 12.0.0 256 bits), OpenCL: OpenCL 3.0 CUDA 11.7.101, Vulkan: 1.3.205, Compiler: GCC 9.4.0 + CUDA 11.7, File-System: ext4, Screen Resolution: 1920x1080 PlaidML FP16: No - Mode: Training - Network: VGG16 - Device: CPU FPS > Higher Is Better xoamsrvplaidml . 0.08 |======================================================== PlaidML FP16: No - Mode: Training - Network: VGG19 - Device: CPU FPS > Higher Is Better xoamsrvplaidml . 0.07 |======================================================== PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: CPU FPS > Higher Is Better xoamsrvplaidml . 27.47 |======================================================= PlaidML FP16: No - Mode: Inference - Network: VGG19 - Device: CPU FPS > Higher Is Better xoamsrvplaidml . 23.75 |======================================================= PlaidML FP16: Yes - Mode: Training - Network: VGG16 - Device: CPU Examples Per Second > Higher Is Better PlaidML FP16: Yes - Mode: Training - Network: VGG19 - Device: CPU Examples Per Second > Higher Is Better PlaidML FP16: Yes - Mode: Inference - Network: VGG16 - Device: CPU Examples Per Second > Higher Is Better PlaidML FP16: Yes - Mode: Inference - Network: VGG19 - Device: CPU Examples Per Second > Higher Is Better PlaidML FP16: No - Mode: Training - Network: VGG16 - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: No - Mode: Training - Network: VGG19 - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: OpenCL FPS > Higher Is Better xoamsrvplaidml . 312.02 |====================================================== PlaidML FP16: No - Mode: Inference - Network: VGG19 - Device: OpenCL FPS > Higher Is Better xoamsrvplaidml . 249.07 |====================================================== PlaidML FP16: No - Mode: Training - Network: IMDB LSTM - Device: CPU Examples Per Second > Higher Is Better PlaidML FP16: No - Mode: Training - Network: Mobilenet - Device: CPU Examples Per Second > Higher Is Better PlaidML FP16: No - Mode: Training - Network: ResNet 50 - Device: CPU FPS > Higher Is Better xoamsrvplaidml . 0.65 |======================================================== PlaidML FP16: Yes - Mode: Training - Network: VGG16 - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: Yes - Mode: Training - Network: VGG19 - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: No - Mode: Inference - Network: IMDB LSTM - Device: CPU Examples Per Second > Higher Is Better PlaidML FP16: No - Mode: Inference - Network: Mobilenet - Device: CPU Examples Per Second > Higher Is Better PlaidML FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU FPS > Higher Is Better xoamsrvplaidml . 4.69 |======================================================== PlaidML FP16: Yes - Mode: Inference - Network: VGG16 - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: Yes - Mode: Inference - Network: VGG19 - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: Yes - Mode: Training - Network: IMDB LSTM - Device: CPU Examples Per Second > Higher Is Better PlaidML FP16: Yes - Mode: Training - Network: Mobilenet - Device: CPU Examples Per Second > Higher Is Better PlaidML FP16: Yes - Mode: Training - Network: ResNet 50 - Device: CPU Examples Per Second > Higher Is Better PlaidML FP16: Yes - Mode: Inference - Network: IMDB LSTM - Device: CPU Examples Per Second > Higher Is Better PlaidML FP16: Yes - Mode: Inference - Network: Mobilenet - Device: CPU Examples Per Second > Higher Is Better PlaidML FP16: Yes - Mode: Inference - Network: ResNet 50 - Device: CPU Examples Per Second > Higher Is Better PlaidML FP16: No - Mode: Training - Network: DenseNet 201 - Device: CPU Examples Per Second > Higher Is Better PlaidML FP16: No - Mode: Training - Network: IMDB LSTM - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: No - Mode: Training - Network: Inception V3 - Device: CPU Examples Per Second > Higher Is Better PlaidML FP16: No - Mode: Training - Network: Mobilenet - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: No - Mode: Training - Network: NASNer Large - Device: CPU Examples Per Second > Higher Is Better PlaidML FP16: No - Mode: Training - Network: ResNet 50 - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: No - Mode: Inference - Network: DenseNet 201 - Device: CPU Examples Per Second > Higher Is Better PlaidML FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: No - Mode: Inference - Network: Inception V3 - Device: CPU Examples Per Second > Higher Is Better PlaidML FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: No - Mode: Inference - Network: NASNer Large - Device: CPU Examples Per Second > Higher Is Better PlaidML FP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCL FPS > Higher Is Better xoamsrvplaidml . 793.26 |====================================================== PlaidML FP16: Yes - Mode: Training - Network: DenseNet 201 - Device: CPU Examples Per Second > Higher Is Better PlaidML FP16: Yes - Mode: Training - Network: IMDB LSTM - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: Yes - Mode: Training - Network: Inception V3 - Device: CPU Examples Per Second > Higher Is Better PlaidML FP16: Yes - Mode: Training - Network: Mobilenet - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: Yes - Mode: Training - Network: NASNer Large - Device: CPU Examples Per Second > Higher Is Better PlaidML FP16: Yes - Mode: Training - Network: ResNet 50 - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: Yes - Mode: Inference - Network: DenseNet 201 - Device: CPU Examples Per Second > Higher Is Better PlaidML FP16: Yes - Mode: Inference - Network: IMDB LSTM - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: Yes - Mode: Inference - Network: Inception V3 - Device: CPU Examples Per Second > Higher Is Better PlaidML FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: Yes - Mode: Inference - Network: NASNer Large - Device: CPU Examples Per Second > Higher Is Better PlaidML FP16: Yes - Mode: Inference - Network: ResNet 50 - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: No - Mode: Training - Network: DenseNet 201 - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: No - Mode: Training - Network: Inception V3 - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: No - Mode: Training - Network: NASNer Large - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: No - Mode: Inference - Network: NASNer Large - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: Yes - Mode: Training - Network: DenseNet 201 - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: Yes - Mode: Training - Network: Inception V3 - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: Yes - Mode: Training - Network: NASNer Large - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: Yes - Mode: Inference - Network: DenseNet 201 - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: Yes - Mode: Inference - Network: Inception V3 - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: Yes - Mode: Inference - Network: NASNer Large - Device: OpenCL Examples Per Second > Higher Is Better