Benchmarks for a future article on Phoronix.com.
Compare your own system(s) to this result file with the
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Jetson Nano Developer Kit
Benchmarks for a future article on Phoronix.com.
,,"Jetson TX1 Max-P","Jetson TX2 Max-Q","Jetson TX2 Max-P","Jetson AGX Xavier","Jetson Nano","Raspberry Pi 3 Model B+","ASUS TinkerBoard","ODROID-XU4","AGX Xavier 32.2"
Processor,,ARMv8 rev 1 @ 1.73GHz (4 Cores),ARMv8 rev 3 @ 1.27GHz (4 Cores / 6 Threads),ARMv8 rev 3 @ 2.04GHz (4 Cores / 6 Threads),ARMv8 rev 0 @ 2.27GHz (8 Cores),ARMv8 rev 1 @ 1.43GHz (4 Cores),ARMv7 rev 4 @ 1.40GHz (4 Cores),ARMv7 rev 1 @ 1.80GHz (4 Cores),ARMv7 rev 3 @ 1.50GHz (8 Cores),ARMv8 rev 0 @ 2.27GHz (8 Cores)
Motherboard,,jetson_tx1,quill,quill,jetson-xavier,jetson-nano,BCM2835 Raspberry Pi 3 Model B Plus Rev 1.3,Rockchip (Device Tree),ODROID-XU4 Hardkernel Odroid XU4,Jetson-AGX
Memory,,4096MB,8192MB,8192MB,16384MB,4096MB,926MB,2048MB,2048MB,16384MB
Disk,,16GB 016G32,31GB 032G34,31GB 032G34,31GB HBG4a2,32GB GB1QT,32GB GB2MW,32GB GB1QT,16GB AJTD4R,8GB FLASH DRIVE + 31GB HBG4a2 + 31GB SD32G
Graphics,,NVIDIA Tegra X1,NVIDIA TEGRA,NVIDIA TEGRA,NVIDIA Tegra Xavier,NVIDIA TEGRA,BCM2708,,llvmpipe 2GB,NVIDIA Tegra Xavier
Monitor,,VE228,VE228,VE228,VE228,VE228,,,VE228,PHL 247E6
Network,,,,,,Realtek RTL8111/8168/8411,,,,
OS,,Ubuntu 16.04,Ubuntu 16.04,Ubuntu 16.04,Ubuntu 18.04,Ubuntu 18.04,Raspbian 9.6,Debian 9.0,Ubuntu 18.04,Ubuntu 18.04
Kernel,,4.4.38-tegra (aarch64),4.4.38-tegra (aarch64),4.4.38-tegra (aarch64),4.9.108-tegra (aarch64),4.9.140-tegra (aarch64),4.19.23-v7+ (armv7l),4.4.16-00006-g4431f98-dirty (armv7l),4.14.37-135 (armv7l),4.9.140-tegra (aarch64)
Desktop,,Unity 7.4.5,Unity 7.4.0,Unity 7.4.0,Unity 7.5.0,Unity 7.5.0,LXDE,LXDE,,GNOME Shell 3.28.4
Display Server,,X Server 1.18.4,X Server 1.18.4,X Server 1.18.4,X Server 1.19.6,X Server 1.19.6,X Server 1.19.2,X Server 1.18.4,X Server 1.19.6,X Server 1.19.6
Display Driver,,NVIDIA 28.1.0,NVIDIA 28.2.1,NVIDIA 28.2.1,NVIDIA 31.0.2,NVIDIA 1.0.0,,,,NVIDIA 32.2.0
OpenGL,,4.5.0,4.5.0,4.5.0,4.6.0,,,,3.3 Mesa 18.0.0-rc5 (LLVM 6.0 128 bits),4.6.0
Vulkan,,1.0.8,,,1.1.76,1.1.85,,,,1.1.85
Compiler,,GCC 5.4.0 20160609,GCC 5.4.0 20160609 + CUDA 9.0,GCC 5.4.0 20160609 + CUDA 9.0,GCC 7.3.0 + CUDA 10.0,GCC 7.3.0 + CUDA 10.0,GCC 6.3.0 20170516,GCC 6.3.0 20170516,GCC 7.3.0,GCC 7.4.0 + CUDA 10.0
File-System,,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4
Screen Resolution,,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,656x416,1024x768,1920x1080,1920x1080
,,"Jetson TX1 Max-P","Jetson TX2 Max-Q","Jetson TX2 Max-P","Jetson AGX Xavier","Jetson Nano","Raspberry Pi 3 Model B+","ASUS TinkerBoard","ODROID-XU4","AGX Xavier 32.2"
"CUDA Mini-Nbody - Performance / Cost - Test: Original ((NBody^2)/s/Dollar)",HIB,,0.01,0.01,0.04,0.04,,,,
"CUDA Mini-Nbody - Test: Original ((NBody^2)/s)",HIB,,6.77,8.24,47.13,4.07,,,,36.36
"TTSIOD 3D Renderer - Performance / Cost - Phong Rendering With Soft-Shadow Mapping (FPS/Dollar)",HIB,0.09,0.05,0.08,0.10,0.41,0.50,0.32,0.68,
"TTSIOD 3D Renderer - Phong Rendering With Soft-Shadow Mapping (FPS)",HIB,45.09,28.85,49.26,133,40.94,17.66,21.22,41.96,147.16
"NVIDIA TensorRT Inference - Neural Network: VGG19 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,,11.45,14.32,265.81,,,,,271.65
"NVIDIA TensorRT Inference - Neural Network: VGG16 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,,29.83,36.87,247.95,,,,,164.81
"NVIDIA TensorRT Inference - Neural Network: VGG16 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,,15.79,19.91,475.08,,,,,367.91
"NVIDIA TensorRT Inference - Neural Network: VGG19 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,,23.94,29.83,203.96,,,,,113.59
"NVIDIA TensorRT Inference - Neural Network: VGG19 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,,12.59,15.92,394.66,,,,,405.46
"NVIDIA TensorRT Inference - Neural Network: AlexNet - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,,216,264,1200,118,,,,1195
"NVIDIA TensorRT Inference - Neural Network: AlexNet - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,,148,184,1143,84.10,,,,1138.17
"NVIDIA TensorRT Inference - Neural Network: AlexNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,,374,462,2038,201,,,,2029
"NVIDIA TensorRT Inference - Neural Network: AlexNet - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,,237,301,3143,128,,,,3166
"NVIDIA TensorRT Inference - Neural Network: ResNet50 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,,72.01,92.28,547.50,41.04,,,,589.98
"NVIDIA TensorRT Inference - Neural Network: ResNet50 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,,39.15,49.97,902.78,20.96,,,,927.67
"NVIDIA TensorRT Inference - Neural Network: GoogleNet - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,,156,197,796,83.37,,,,864.75
"NVIDIA TensorRT Inference - Neural Network: GoogleNet - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,,88.88,113,1146,47.82,,,,1197.35
"NVIDIA TensorRT Inference - Neural Network: ResNet152 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,,27.34,35.11,224.19,15.76,,,,231.88
"NVIDIA TensorRT Inference - Neural Network: ResNet152 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,,14.50,18.29,372.73,7.76,,,,382.28
"NVIDIA TensorRT Inference - Neural Network: ResNet50 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,,86.08,111,636,46.51,,,,699.89
"NVIDIA TensorRT Inference - Neural Network: ResNet50 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,,47.15,59.69,1215.08,25.08,,,,1239.96
"NVIDIA TensorRT Inference - Neural Network: GoogleNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,,179,233,1006,98.93,,,,1143.01
"NVIDIA TensorRT Inference - Neural Network: GoogleNet - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,,104,130,1693,55.66,,,,1740.52
"NVIDIA TensorRT Inference - Neural Network: ResNet152 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,,32.67,41.91,259.82,17.38,,,,270.54
"NVIDIA TensorRT Inference - Performance / Cost - Neural Network: VGG16 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,,0.04,0.05,0.16,0.14,,,,
"NVIDIA TensorRT Inference - Neural Network: ResNet152 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,,17.36,22.07,493.22,,,,,512.19
"NVIDIA TensorRT Inference - Performance / Cost - Neural Network: VGG16 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,,0.02,0.03,0.23,,,,,
"NVIDIA TensorRT Inference - Performance / Cost - Neural Network: VGG19 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,,0.04,0.04,0.13,0.12,,,,
"NVIDIA TensorRT Inference - Performance / Cost - Neural Network: VGG19 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,,0.02,0.02,0.20,,,,,
"NVIDIA TensorRT Inference - Performance / Cost - Neural Network: VGG16 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,,0.05,0.06,0.19,,,,,
"NVIDIA TensorRT Inference - Performance / Cost - Neural Network: VGG16 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,,0.03,0.03,0.37,,,,,
"NVIDIA TensorRT Inference - Performance / Cost - Neural Network: VGG19 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,,0.04,0.05,0.16,,,,,
"NVIDIA TensorRT Inference - Neural Network: VGG16 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,,25.99,32.64,208.76,14.35,,,,203.81
"NVIDIA TensorRT Inference - Performance / Cost - Neural Network: AlexNet - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,,0.36,0.44,0.92,1.19,,,,
"NVIDIA TensorRT Inference - Performance / Cost - Neural Network: AlexNet - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,,0.25,0.31,0.88,0.85,,,,
"NVIDIA TensorRT Inference - Performance / Cost - Neural Network: AlexNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,,0.62,0.77,1.57,2.03,,,,
"NVIDIA TensorRT Inference - Performance / Cost - Neural Network: AlexNet - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,,0.40,0.50,2.42,1.29,,,,
"NVIDIA TensorRT Inference - Neural Network: VGG19 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,,21.04,26.56,172.50,11.59,,,,169.75
"NVIDIA TensorRT Inference - Performance / Cost - Neural Network: VGG19 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,,0.02,0.03,0.30,,,,,
"NVIDIA TensorRT Inference - Performance / Cost - Neural Network: ResNet50 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,,0.12,0.15,0.42,0.41,,,,
"NVIDIA TensorRT Inference - Performance / Cost - Neural Network: ResNet50 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,,0.07,0.08,0.69,0.21,,,,
"NVIDIA TensorRT Inference - Performance / Cost - Neural Network: GoogleNet - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,,0.26,0.33,0.61,0.84,,,,
"NVIDIA TensorRT Inference - Performance / Cost - Neural Network: GoogleNet - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,,0.15,0.19,0.88,0.48,,,,
"NVIDIA TensorRT Inference - Performance / Cost - Neural Network: ResNet152 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,,0.05,0.06,0.17,0.16,,,,
"NVIDIA TensorRT Inference - Performance / Cost - Neural Network: ResNet152 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,,0.02,0.03,0.29,0.08,,,,
"NVIDIA TensorRT Inference - Performance / Cost - Neural Network: ResNet50 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,,0.14,0.19,0.49,0.47,,,,
"NVIDIA TensorRT Inference - Performance / Cost - Neural Network: ResNet50 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,,0.08,0.10,0.94,0.25,,,,
"NVIDIA TensorRT Inference - Performance / Cost - Neural Network: GoogleNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,,0.30,0.39,0.77,1.00,,,,
"NVIDIA TensorRT Inference - Performance / Cost - Neural Network: GoogleNet - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,,0.17,0.22,1.30,0.56,,,,
"NVIDIA TensorRT Inference - Neural Network: VGG16 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,,14.24,17.56,303.78,,,,,309.75
"NVIDIA TensorRT Inference - Performance / Cost - Neural Network: ResNet152 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,,0.05,0.07,0.20,0.18,,,,
"NVIDIA TensorRT Inference - Performance / Cost - Neural Network: ResNet152 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,,0.03,0.04,0.38,,,,,
"7-Zip Compression - Compress Speed Test (MIPS)",HIB,4508,3294,5593,19212,4049,2013,2836,4120,21019
"7-Zip Compression - Performance / Cost - Compress Speed Test (MIPS/Dollar)",HIB,9.03,5.50,9.34,14.79,40.90,57.51,42.97,66.45,
"LeelaChessZero - Backend: CUDA + cuDNN (Nodes/s)",HIB,,,,953,140,,,,972
"LeelaChessZero - Backend: CUDA + cuDNN FP16 (Nodes/s)",HIB,,,,2515,,,,,2519
"LeelaChessZero - Performance / Cost - Backend: BLAS (Nodes/s/Dollar)",HIB,,,,0.04,0.16,,,,
"LeelaChessZero - Backend: BLAS (Nodes/s)",HIB,,,,47.62,15.37,,,,53.67
"LeelaChessZero - Performance / Cost - Backend: CUDA + cuDNN (Nodes/s/Dollar)",HIB,,,,0.73,1.41,,,,
"LeelaChessZero - Performance / Cost - Backend: CUDA + cuDNN FP16 (Nodes/s/Dollar)",HIB,,,,1.94,,,,,
"GLmark2 - Performance / Cost - Resolution: 1920 x 1080 (Score/Dollar)",HIB,,,,2.21,6.53,,,,
"GLmark2 - Resolution: 1920 x 1080 (Score)",HIB,,,,2876,646,,,,2394
"PyBench - Total For Average Test Times (Milliseconds)",LIB,6339,8735,5408,3007,7084,20913,11502,5009,2978
"PyBench - Performance / Cost - Total For Average Test Times (Milliseconds x Dollar)",LIB,3163161.00,5232265.00,3239392.00,3906093.00,701316.00,731955.00,759132.00,310558.00,
"C-Ray - Total Time - 4K, 16 Rays Per Pixel (sec)",LIB,753,869,585,355,921,2030,1718,827,163
"Rust Prime Benchmark - Prime Number Test To 200,000,000 (sec)",LIB,128.45,170.25,104.96,32.37,150.19,1097.69,1821.05,574.11,33.31
"Zstd Compression - Compressing ubuntu-16.04.3-server-i386.img, Compression Level 19 (sec)",LIB,145.80,253.80,144.97,80.06,129.87,342.23,496.62,,55.70
"FLAC Audio Encoding - WAV To FLAC (sec)",LIB,79.20,104.28,65.07,54.47,104.77,339.53,279.05,97.03,50.25
"OpenCV Benchmark - (sec)",LIB,,493,296,128,271.04,2.74,,520.70,119.35
"Tesseract OCR - Time To OCR 7 Images (sec)",LIB,,,,71.94,132.67,,,180.66,90.14
"C-Ray - Performance / Cost - Total Time - 4K, 16 Rays Per Pixel (sec x Dollar)",LIB,375747.00,520531.00,350415.00,461145.00,91179.00,71050.00,113388.00,51274.00,
"Rust Prime Benchmark - Performance / Cost - Prime Number Test To 200,000,000 (sec x Dollar)",LIB,64096.55,101979.75,62871.04,42048.63,14868.81,38419.15,120189.30,35594.82,
"Zstd Compression - Performance / Cost - Compressing ubuntu-16.04.3-server-i386.img, Compression Level 19 (sec x Dollar)",LIB,72754.20,152026.20,86837.03,103997.94,12857.13,11978.05,32776.92,,
"FLAC Audio Encoding - Performance / Cost - WAV To FLAC (sec x Dollar)",LIB,39520.80,62463.72,38976.93,70756.53,10372.23,11883.55,18417.30,6015.86,
"OpenCV Benchmark - Performance / Cost - (sec x Dollar)",LIB,,295307.00,177304.00,166272.00,26832.96,95.90,,32283.40,
"Tesseract OCR - Performance / Cost - Time To OCR 7 Images (sec x Dollar)",LIB,,,,93450.06,13134.33,,,11200.92,