CNN Inference Engine Quick View Save
A quick view of high-performance convolution neural networks (CNNs) inference engines on mobile devices.
Project README
CNN-Inference-Engine-Quick-View
A quick view of high-performance convolution neural networks (CNNs) inference engines on mobile devices.
Runtime-speed Comparisons
Data-flow / Graph Optimization
FLOAT32-Support
| Framework | Main Platform | Model Compatibility | Detection-Support | Speed Benchmarks |
|---|---|---|---|---|
| Bolt | CPU (ARM optimized) / x86 / Mali GPU | Caffe / Tensorflow / PyTorch / onnx | Y | Link |
| TNN | CPU (ARM optimized) / Mali Adreno Apple GPU | Caffe / Tensorflow / PyTorch | Y | Link |
| PPLNN | CPU (ARM/x86 optimized) / Nvidia GPU | onnx | Y | Link / Link |
| Paddle-Light | CPU (ARM optimized) / Mali GPU / FPGA / NPU | Paddle / Caffe / onnx | Y | Link |
| MNN | CPU (ARM optimized) / Mali GPU | Caffe / Tensorflow / onnx | Y | Link |
| NCNN | CPU (ARM optimized) / Mali GPU | Caffe / PyTorch / mxnet / onnx | Y | 3rd party Link / Official Link |
| MACE | CPU (ARM optimized) / Mali GPU / DSP | Caffe / Tensorflow / onnx | Y | Link |
| TEngine | CPU (ARM A72 optimized) | Caffe / mxnet | Y | Link |
| AutoKernel | CPU / GPU/ NPU | Caffe / mxnet / Tensorflow / PyTorch / Darknet | Y | Link |
| Synet | CPU (ARM optimized) / x86 | Caffe / PyTorch / Tensorflow / mxnet / onnx | Y | - |
| MsnhNet | CPU (ARM optimized) / Mali GPU / x86 / TensorRT | PyTorch | Y | Link |
| ONNX-Runtime | CPU / Nvidia GPU | onnx | Y | - |
| HiAI | Kirin CPU / NPU | Caffe / Tensorflow | Y | - |
| NNIE | NPU | Caffe | Y | 1TOPs |
| Intel-Caffe | CPU (Intel optimized) | Caffe | Y | Link |
| FeatherCNN | CPU (ARM optimized) | Caffe | N | Link / unofficial Link |
| Tensorflowlite | CPU (Android optimized) | Caffe2 / Tensorflow / onnx | Y | Link |
| TensorRT | GPU (Volta optimized) | Caffe / Tensorflow / onnx | Y | Link |
| TVM | CPU (ARM optimized) / Mali GPU / FPGA | onnx | Y | - |
| SNPE | CPU (Qualcomm optimized) / GPU / DSP | Caffe / Caffe2 / Tensorflow/ onnx | Y | Link |
| Pocket-Tensor | CPU (ARM/x86 optimized) | Keras | N | Link |
| ZQCNN | CPU | Caffe / mxnet | Y | Link |
| ARM-NEON-to-x86-SSE | CPU (Intel optimized) | Intrinsics-Level | - | - |
| Simd | CPU (all platform optimized) | Intrinsics-Level | - | - |
| clDNN | Intel® Processor Graphics / Iris™ Pro Graphics | Caffe / Tennsorflow / mxnet / onnx | Y | Link |
FIX16-Support
| Framework | Main Platform | Model Compatibility | Detection-Support | Speed Benchmarks |
|---|---|---|---|---|
| Bolt | CPU (ARM optimized) / x86 / Mali GPU | Caffe / Tensorflow / PyTorch | Y | Link |
| ARM32-SGEMM-LIB | CPU (ARM optimized) | GEMM Library | N | Link |
| TNN | CPU (ARM optimized) / Mali Adreno Apple GPU | Caffe / Tensorflow / PyTorch | Y | Link |
| Yolov2-Xilinx-PYNQ | FPGA (Xilinx PYNQ) | Yolov2-only | Y | Link |
INT8-Support
| Framework | Main Platform | Model Compatibility | Detection-Support | Speed Benchmarks |
|---|---|---|---|---|
| Bolt | CPU (ARM optimized) / x86 / Mali GPU | Caffe / Tensorflow / PyTorch | Y | Link |
| Intel-Caffe | CPU (Intel Skylake) | Caffe | Y | Link |
| TNN | CPU (ARM optimized) / Mali Adreno Apple GPU | Caffe / Tensorflow / PyTorch | Y | Link |
| PPLNN | Nvidia GPU optimized | onnx | Y | Link |
| NCNN | CPU (ARM optimized) | Caffe / pytorch / mxnet / onnx | Y | Link |
| Paddle-Light | CPU (ARM optimized) / Mali GPU / FPGA | Paddle / Caffe / onnx | Y | Link |
| MNN | CPU (ARM optimized) / Mali GPU | Caffe / Tensorflow / onnx | Y | Link |
| Tensorflowlite | CPU (ARM) | Caffe2 / Tensorflow / onnx | Y | Link |
| TensorRT | GPU (Volta) | Caffe / Tensorflow / onnx | Y | Link |
| Gemmlowp | CPU (ARM / x86) | GEMM Library | - | - |
| SNPE | DSP (Quantized DLC) | Caffe / Caffe2 / Tensorflow/ onnx | Y | Link |
| MACE | CPU (ARM optimized) / Mali GPU / DSP | Caffe / Tensorflow / onnx | Y | Link |
| TF2 | FPGA | Caffe / PyTorch / Tensorflow | Y | Link |
| TVM | CPU (ARM optimized) / Mali GPU / FPGA | onnx | Y | Link |
TERNARY-Support
| Framework | Main Platform | Model Compatibility | Detection-Support | Speed Benchmarks |
|---|---|---|---|---|
| Gemmbitserial | CPU (ARM / x86) | GEMM Library | - | Link |
BINARY-Support
| Framework | Main Platform | Model Compatibility | Detection-Support | Speed Benchmarks |
|---|---|---|---|---|
| Bolt | CPU (ARM optimized) / x86 / Mali GPU | Caffe / Tensorflow / PyTorch | Y | Link |
| BMXNET | CPU (ARM / x86) / GPU | mxnet | Y | Link |
| DABNN | CPU (ARM) | Caffe / Tensorflow / onnx | N | Link |
| Espresso | GPU | - | N | Link |
| BNN-PYNQ | FPGA (Xilinx PYNQ) | - | N | Link |
| FINN | FPGA (Xilinx) | - | N | Link |
NLP-Support
| Framework | Main Platform | Model Compatibility | Speed Benchmarks |
|---|---|---|---|
| TurboTransformers | CPU / Nvidia GPU | PyTorch | Link |
| Bolt | CPU / Mali GPU | Caffe / onnx | Link |
Open Source Agenda is not affiliated with "CNN Inference Engine Quick View" Project. README Source: HolmesShuan/CNN-Inference-Engine-Quick-View
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