Jetson Nano Developer Kit
Benchmarks for a future article on Phoronix.com.
HTML result view exported from: https://openbenchmarking.org/result/1903186-HV-JETSONNAN05&gru.
CUDA Mini-Nbody
Performance / Cost - Test: Original
CUDA Mini-Nbody
Test: Original
TTSIOD 3D Renderer
Performance / Cost - Phong Rendering With Soft-Shadow Mapping
TTSIOD 3D Renderer
Phong Rendering With Soft-Shadow Mapping
NVIDIA TensorRT Inference
Neural Network: VGG19 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Neural Network: VGG16 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Neural Network: VGG16 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Neural Network: VGG19 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Neural Network: VGG19 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Neural Network: AlexNet - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Neural Network: AlexNet - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Neural Network: AlexNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Neural Network: AlexNet - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Neural Network: ResNet50 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Neural Network: ResNet50 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Neural Network: GoogleNet - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Neural Network: GoogleNet - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Neural Network: ResNet152 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Neural Network: ResNet152 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Neural Network: ResNet50 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Neural Network: ResNet50 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Neural Network: GoogleNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Neural Network: GoogleNet - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Neural Network: ResNet152 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Performance / Cost - Neural Network: VGG16 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Neural Network: ResNet152 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Performance / Cost - Neural Network: VGG16 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Performance / Cost - Neural Network: VGG19 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Performance / Cost - Neural Network: VGG19 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Performance / Cost - Neural Network: VGG16 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Performance / Cost - Neural Network: VGG16 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Performance / Cost - Neural Network: VGG19 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Neural Network: VGG16 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Performance / Cost - Neural Network: AlexNet - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Performance / Cost - Neural Network: AlexNet - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Performance / Cost - Neural Network: AlexNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Performance / Cost - Neural Network: AlexNet - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Neural Network: VGG19 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Performance / Cost - Neural Network: VGG19 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Performance / Cost - Neural Network: ResNet50 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Performance / Cost - Neural Network: ResNet50 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Performance / Cost - Neural Network: GoogleNet - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Performance / Cost - Neural Network: GoogleNet - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Performance / Cost - Neural Network: ResNet152 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Performance / Cost - Neural Network: ResNet152 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Performance / Cost - Neural Network: ResNet50 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Performance / Cost - Neural Network: ResNet50 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Performance / Cost - Neural Network: GoogleNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Performance / Cost - Neural Network: GoogleNet - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Neural Network: VGG16 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Performance / Cost - Neural Network: ResNet152 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled
NVIDIA TensorRT Inference
Performance / Cost - Neural Network: ResNet152 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled
7-Zip Compression
Compress Speed Test
7-Zip Compression
Performance / Cost - Compress Speed Test
LeelaChessZero
Backend: CUDA + cuDNN
LeelaChessZero
Backend: CUDA + cuDNN FP16
LeelaChessZero
Performance / Cost - Backend: BLAS
LeelaChessZero
Backend: BLAS
LeelaChessZero
Performance / Cost - Backend: CUDA + cuDNN
LeelaChessZero
Performance / Cost - Backend: CUDA + cuDNN FP16
GLmark2
Performance / Cost - Resolution: 1920 x 1080
GLmark2
Resolution: 1920 x 1080
PyBench
Total For Average Test Times
PyBench
Performance / Cost - Total For Average Test Times
C-Ray
Total Time - 4K, 16 Rays Per Pixel
Rust Prime Benchmark
Prime Number Test To 200,000,000
Zstd Compression
Compressing ubuntu-16.04.3-server-i386.img, Compression Level 19
FLAC Audio Encoding
WAV To FLAC
OpenCV Benchmark
Tesseract OCR
Time To OCR 7 Images
C-Ray
Performance / Cost - Total Time - 4K, 16 Rays Per Pixel
Rust Prime Benchmark
Performance / Cost - Prime Number Test To 200,000,000
Zstd Compression
Performance / Cost - Compressing ubuntu-16.04.3-server-i386.img, Compression Level 19
FLAC Audio Encoding
Performance / Cost - WAV To FLAC
OpenCV Benchmark
Performance / Cost -
Tesseract OCR
Performance / Cost - Time To OCR 7 Images
Phoronix Test Suite v10.8.5