ARMv8 rev 1 testing with a jetson_tx1 and NVIDIA Tegra X1 on Ubuntu 16.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 1903178-SP-1903167SP11
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
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 |===========
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: 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: 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: 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: 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: 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: 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: 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 |=======
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 |===============
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 |=======
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 |=======
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 |==============
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 |==========
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 |=============
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 |===
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 |=================
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: 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: 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: 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: 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: 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 |==
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: 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: 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: 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: 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 |==
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 |
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: 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: 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 |====
Tesseract OCR 4.0.0-beta.1
Time To OCR 7 Images
Seconds < Lower Is Better
Jetson AGX Xavier . 71.94 |====================================================
LeelaChessZero 0.20.1
Backend: CUDA + cuDNN FP16
Nodes Per Second > Higher Is Better
Jetson AGX Xavier . 2515.01 |==================================================
LeelaChessZero 0.20.1
Backend: CUDA + cuDNN
Nodes Per Second > Higher Is Better
Jetson AGX Xavier . 952.89 |===================================================
LeelaChessZero 0.20.1
Backend: BLAS
Nodes Per Second > Higher Is Better
Jetson AGX Xavier . 47.62 |====================================================
GLmark2
Resolution: 1920 x 1080
Score > Higher Is Better
Jetson AGX Xavier . 2876 |=====================================================
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 |==========