Jetson Prep ARMv8 rev 1 testing with a jetson_tx1 and NVIDIA Tegra X1 on Ubuntu 16.04 via the Phoronix Test Suite. Jetson AGX Xavier: Processor: ARMv8 rev 0 @ 2.27GHz (8 Cores), Motherboard: jetson-xavier, Memory: 16384MB, Disk: 31GB HBG4a2, Graphics: NVIDIA Tegra Xavier, Monitor: VE228 OS: Ubuntu 18.04, Kernel: 4.9.108-tegra (aarch64), Desktop: Unity 7.5.0, Display Server: X Server 1.19.6, Display Driver: NVIDIA 31.0.2, OpenGL: 4.6.0, Vulkan: 1.1.76, Compiler: GCC 7.3.0 + CUDA 10.0, File-System: ext4, Screen Resolution: 1920x1080 Jetson TX2 Max-P: Processor: ARMv8 rev 3 @ 2.04GHz (4 Cores / 6 Threads), Motherboard: quill, Memory: 8192MB, Disk: 31GB 032G34, Graphics: NVIDIA TEGRA, Monitor: VE228 OS: Ubuntu 16.04, Kernel: 4.4.38-tegra (aarch64), Desktop: Unity 7.4.0, Display Server: X Server 1.18.4, Display Driver: NVIDIA 28.2.1, OpenGL: 4.5.0, Compiler: GCC 5.4.0 20160609 + CUDA 9.0, File-System: ext4, Screen Resolution: 1920x1080 Jetson TX2 Max-Q: Processor: ARMv8 rev 3 @ 1.27GHz (4 Cores / 6 Threads), Motherboard: quill, Memory: 8192MB, Disk: 31GB 032G34, Graphics: NVIDIA TEGRA, Monitor: VE228 OS: Ubuntu 16.04, Kernel: 4.4.38-tegra (aarch64), Desktop: Unity 7.4.0, Display Server: X Server 1.18.4, Display Driver: NVIDIA 28.2.1, OpenGL: 4.5.0, Compiler: GCC 5.4.0 20160609 + CUDA 9.0, File-System: ext4, Screen Resolution: 1920x1080 Raspberry Pi 3 Model B+: Processor: ARMv7 rev 4 @ 1.40GHz (4 Cores), Motherboard: BCM2835 Raspberry Pi 3 Model B Plus Rev 1.3, Memory: 926MB, Disk: 32GB GB2MW, Graphics: BCM2708 OS: Raspbian 9.6, Kernel: 4.19.23-v7+ (armv7l), Desktop: LXDE, Display Server: X Server 1.19.2, Compiler: GCC 6.3.0 20170516, File-System: ext4, Screen Resolution: 656x416 ASUS TinkerBoard: Processor: ARMv7 rev 1 @ 1.80GHz (4 Cores), Motherboard: Rockchip (Device Tree), Memory: 2048MB, Disk: 32GB GB1QT OS: Debian 9.0, Kernel: 4.4.16-00006-g4431f98-dirty (armv7l), Desktop: LXDE, Display Server: X Server 1.18.4, Compiler: GCC 6.3.0 20170516, File-System: ext4, Screen Resolution: 1024x768 Jetson TX1 Max-P: Processor: ARMv8 rev 1 @ 1.73GHz (4 Cores), Motherboard: jetson_tx1, Memory: 4096MB, Disk: 16GB 016G32, Graphics: NVIDIA Tegra X1, Monitor: VE228 OS: Ubuntu 16.04, Kernel: 4.4.38-tegra (aarch64), Desktop: Unity 7.4.5, Display Server: X Server 1.18.4, Display Driver: NVIDIA 28.1.0, OpenGL: 4.5.0, Vulkan: 1.0.8, Compiler: GCC 5.4.0 20160609, File-System: ext4, Screen Resolution: 1920x1080 CUDA Mini-Nbody 2015-11-10 Test: Original (NBody^2)/s > Higher Is Better Jetson AGX Xavier . 47.13 |==================================================== Jetson TX2 Max-P .. 8.24 |========= Jetson TX2 Max-Q .. 6.77 |======= GLmark2 Resolution: 1920 x 1080 Score > Higher Is Better Jetson AGX Xavier . 2876 |===================================================== NVIDIA TensorRT Inference Neural Network: VGG16 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson AGX Xavier . 208.76 |=================================================== Jetson TX2 Max-P .. 32.64 |======== Jetson TX2 Max-Q .. 25.99 |====== NVIDIA TensorRT Inference Neural Network: VGG16 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson AGX Xavier . 303.78 |=================================================== Jetson TX2 Max-P .. 17.56 |=== Jetson TX2 Max-Q .. 14.24 |== NVIDIA TensorRT Inference Neural Network: VGG19 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson AGX Xavier . 172.50 |=================================================== Jetson TX2 Max-P .. 26.56 |======== Jetson TX2 Max-Q .. 21.04 |====== NVIDIA TensorRT Inference Neural Network: VGG19 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson AGX Xavier . 265.81 |=================================================== Jetson TX2 Max-P .. 14.32 |=== Jetson TX2 Max-Q .. 11.45 |== NVIDIA TensorRT Inference Neural Network: VGG16 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson AGX Xavier . 247.95 |=================================================== Jetson TX2 Max-P .. 36.87 |======== Jetson TX2 Max-Q .. 29.83 |====== NVIDIA TensorRT Inference Neural Network: VGG16 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson AGX Xavier . 475.08 |=================================================== Jetson TX2 Max-P .. 19.91 |== Jetson TX2 Max-Q .. 15.79 |== NVIDIA TensorRT Inference Neural Network: VGG19 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson AGX Xavier . 203.96 |=================================================== Jetson TX2 Max-P .. 29.83 |======= Jetson TX2 Max-Q .. 23.94 |====== NVIDIA TensorRT Inference Neural Network: VGG19 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson AGX Xavier . 394.66 |=================================================== Jetson TX2 Max-P .. 15.92 |== Jetson TX2 Max-Q .. 12.59 |== NVIDIA TensorRT Inference Neural Network: AlexNet - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson AGX Xavier . 1200 |===================================================== Jetson TX2 Max-P .. 264 |============ Jetson TX2 Max-Q .. 216 |========== NVIDIA TensorRT Inference Neural Network: AlexNet - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson AGX Xavier . 1143 |===================================================== Jetson TX2 Max-P .. 184 |========= Jetson TX2 Max-Q .. 148 |======= NVIDIA TensorRT Inference Neural Network: AlexNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson AGX Xavier . 2038 |===================================================== Jetson TX2 Max-P .. 462 |============ Jetson TX2 Max-Q .. 374 |========== NVIDIA TensorRT Inference Neural Network: AlexNet - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson AGX Xavier . 3143 |===================================================== Jetson TX2 Max-P .. 301 |===== Jetson TX2 Max-Q .. 237 |==== NVIDIA TensorRT Inference Neural Network: ResNet50 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson AGX Xavier . 547.50 |=================================================== Jetson TX2 Max-P .. 92.28 |========= Jetson TX2 Max-Q .. 72.01 |======= NVIDIA TensorRT Inference Neural Network: ResNet50 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson AGX Xavier . 902.78 |=================================================== Jetson TX2 Max-P .. 49.97 |=== Jetson TX2 Max-Q .. 39.15 |== NVIDIA TensorRT Inference Neural Network: GoogleNet - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson AGX Xavier . 796 |====================================================== Jetson TX2 Max-P .. 197 |============= Jetson TX2 Max-Q .. 156 |=========== NVIDIA TensorRT Inference Neural Network: GoogleNet - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson AGX Xavier . 1146.00 |================================================== Jetson TX2 Max-P .. 113.00 |===== Jetson TX2 Max-Q .. 88.88 |==== NVIDIA TensorRT Inference Neural Network: ResNet152 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson AGX Xavier . 224.19 |=================================================== Jetson TX2 Max-P .. 35.11 |======== Jetson TX2 Max-Q .. 27.34 |====== NVIDIA TensorRT Inference Neural Network: ResNet152 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson AGX Xavier . 372.73 |=================================================== Jetson TX2 Max-P .. 18.29 |=== Jetson TX2 Max-Q .. 14.50 |== NVIDIA TensorRT Inference Neural Network: ResNet50 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson AGX Xavier . 636.00 |=================================================== Jetson TX2 Max-P .. 111.00 |========= Jetson TX2 Max-Q .. 86.08 |======= NVIDIA TensorRT Inference Neural Network: ResNet50 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson AGX Xavier . 1215.08 |================================================== Jetson TX2 Max-P .. 59.69 |== Jetson TX2 Max-Q .. 47.15 |== NVIDIA TensorRT Inference Neural Network: GoogleNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson AGX Xavier . 1006 |===================================================== Jetson TX2 Max-P .. 233 |============ Jetson TX2 Max-Q .. 179 |========= NVIDIA TensorRT Inference Neural Network: GoogleNet - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson AGX Xavier . 1693 |===================================================== Jetson TX2 Max-P .. 130 |==== Jetson TX2 Max-Q .. 104 |=== NVIDIA TensorRT Inference Neural Network: ResNet152 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson AGX Xavier . 259.82 |=================================================== Jetson TX2 Max-P .. 41.91 |======== Jetson TX2 Max-Q .. 32.67 |====== NVIDIA TensorRT Inference Neural Network: ResNet152 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson AGX Xavier . 493.22 |=================================================== Jetson TX2 Max-P .. 22.07 |== Jetson TX2 Max-Q .. 17.36 |== LeelaChessZero 0.20.1 Backend: BLAS Nodes Per Second > Higher Is Better Jetson AGX Xavier . 47.62 |==================================================== LeelaChessZero 0.20.1 Backend: CUDA + cuDNN Nodes Per Second > Higher Is Better Jetson AGX Xavier . 952.89 |=================================================== LeelaChessZero 0.20.1 Backend: CUDA + cuDNN FP16 Nodes Per Second > Higher Is Better Jetson AGX Xavier . 2515.01 |================================================== TTSIOD 3D Renderer 2.3b Phong Rendering With Soft-Shadow Mapping FPS > Higher Is Better Jetson AGX Xavier ....... 133.00 |============================================= Jetson TX2 Max-P ........ 49.26 |================= Jetson TX2 Max-Q ........ 28.85 |========== Raspberry Pi 3 Model B+ . 17.66 |====== ASUS TinkerBoard ........ 21.22 |======= Jetson TX1 Max-P ........ 45.09 |=============== 7-Zip Compression 16.02 Compress Speed Test MIPS > Higher Is Better Jetson AGX Xavier ....... 19212 |============================================== Jetson TX2 Max-P ........ 5593 |============= Jetson TX2 Max-Q ........ 3294 |======== Raspberry Pi 3 Model B+ . 2013 |===== ASUS TinkerBoard ........ 2836 |======= Jetson TX1 Max-P ........ 4508 |=========== C-Ray 1.1 Total Time - 4K, 16 Rays Per Pixel Seconds < Lower Is Better Jetson AGX Xavier ....... 355 |======== Jetson TX2 Max-P ........ 585 |============== Jetson TX2 Max-Q ........ 869 |==================== Raspberry Pi 3 Model B+ . 2030 |=============================================== ASUS TinkerBoard ........ 1718 |======================================== Jetson TX1 Max-P ........ 753 |================= Rust Prime Benchmark Prime Number Test To 200,000,000 Seconds < Lower Is Better Jetson AGX Xavier ....... 32.37 |= Jetson TX2 Max-P ........ 104.96 |=== Jetson TX2 Max-Q ........ 170.25 |==== Raspberry Pi 3 Model B+ . 1097.69 |=========================== ASUS TinkerBoard ........ 1821.05 |============================================ Jetson TX1 Max-P ........ 128.45 |=== Zstd Compression 1.3.4 Compressing ubuntu-16.04.3-server-i386.img, Compression Level 19 Seconds < Lower Is Better Jetson AGX Xavier ....... 80.06 |======= Jetson TX2 Max-P ........ 144.97 |============= Jetson TX2 Max-Q ........ 253.80 |======================= Raspberry Pi 3 Model B+ . 342.23 |=============================== ASUS TinkerBoard ........ 496.62 |============================================= Jetson TX1 Max-P ........ 145.80 |============= FLAC Audio Encoding 1.3.2 WAV To FLAC Seconds < Lower Is Better Jetson AGX Xavier ....... 54.47 |======= Jetson TX2 Max-P ........ 65.07 |========= Jetson TX2 Max-Q ........ 104.28 |============== Raspberry Pi 3 Model B+ . 339.53 |============================================= ASUS TinkerBoard ........ 279.05 |===================================== Jetson TX1 Max-P ........ 79.20 |========== OpenCV Benchmark 3.3.0 Seconds < Lower Is Better Jetson AGX Xavier ....... 128.00 |============ Jetson TX2 Max-P ........ 296.00 |=========================== Jetson TX2 Max-Q ........ 493.00 |============================================= Raspberry Pi 3 Model B+ . 2.74 | PyBench 2018-02-16 Total For Average Test Times Milliseconds < Lower Is Better Jetson AGX Xavier ....... 3007 |======= Jetson TX2 Max-P ........ 5408 |============ Jetson TX2 Max-Q ........ 8735 |=================== Raspberry Pi 3 Model B+ . 20913 |============================================== ASUS TinkerBoard ........ 11502 |========================= Jetson TX1 Max-P ........ 6339 |============== Tesseract OCR 4.0.0-beta.1 Time To OCR 7 Images Seconds < Lower Is Better Jetson AGX Xavier . 71.94 |====================================================