ODROID-N2 Benchmark Comparison

ODROID-N2 benchmarks for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 1904251-HV-ODROIDN2760
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C/C++ Compiler Tests 4 Tests
Compression Tests 2 Tests
CPU Massive 8 Tests
Creator Workloads 4 Tests
Multi-Core 5 Tests
Programmer / Developer System Benchmarks 2 Tests
Python Tests 2 Tests
Renderers 2 Tests
Server CPU Tests 6 Tests
Single-Threaded 4 Tests

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Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
Jetson TX1 Max-P
March 17 2019
  1 Hour, 20 Minutes
Jetson TX2 Max-Q
March 16 2019
  7 Hours, 23 Minutes
Jetson TX2 Max-P
March 15 2019
  6 Hours, 25 Minutes
Jetson AGX Xavier
March 15 2019
  4 Hours, 1 Minute
Jetson Nano
March 17 2019
  7 Hours, 18 Minutes
Raspberry Pi 3 Model B+
March 16 2019
  4 Hours, 32 Minutes
ASUS TinkerBoard
March 16 2019
  7 Hours, 20 Minutes
ODROID-XU4
March 17 2019
  4 Hours, 21 Minutes
ODROID-N2
April 21 2019
  1 Hour, 59 Minutes
ODROID-C2
April 24 2019
  8 Hours, 20 Minutes
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  5 Hours, 18 Minutes

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ODROID-N2 Benchmark Comparison ODROID-N2 benchmarks for a future article. ,,"Jetson AGX Xavier","Jetson TX2 Max-P","Jetson TX2 Max-Q","Raspberry Pi 3 Model B+","ASUS TinkerBoard","Jetson TX1 Max-P","ODROID-XU4","Jetson Nano","ODROID-N2","ODROID-C2" Processor,,ARMv8 rev 0 @ 2.27GHz (8 Cores),ARMv8 rev 3 @ 2.04GHz (4 Cores / 6 Threads),ARMv8 rev 3 @ 1.27GHz (4 Cores / 6 Threads),ARMv7 rev 4 @ 1.40GHz (4 Cores),ARMv7 rev 1 @ 1.80GHz (4 Cores),ARMv8 rev 1 @ 1.73GHz (4 Cores),ARMv7 rev 3 @ 1.50GHz (8 Cores),ARMv8 rev 1 @ 1.43GHz (4 Cores),ARMv8 Cortex-A73 @ 1.90GHz (6 Cores),Amlogic ARMv8 Cortex-A53 @ 1.54GHz (4 Cores) Motherboard,,jetson-xavier,quill,quill,BCM2835 Raspberry Pi 3 Model B Plus Rev 1.3,Rockchip (Device Tree),jetson_tx1,ODROID-XU4 Hardkernel Odroid XU4,jetson-nano,Hardkernel ODROID-N2,ODROID-C2 Memory,,16384MB,8192MB,8192MB,926MB,2048MB,4096MB,2048MB,4096MB,4096MB,2048MB Disk,,31GB HBG4a2,31GB 032G34,31GB 032G34,32GB GB2MW,32GB GB1QT,16GB 016G32,16GB AJTD4R,32GB GB1QT,16GB AJTD4R,32GB GB1QT Graphics,,NVIDIA Tegra Xavier,NVIDIA TEGRA,NVIDIA TEGRA,BCM2708,,NVIDIA Tegra X1,llvmpipe 2GB,NVIDIA TEGRA,OSD,OSD Monitor,,VE228,VE228,VE228,,,VE228,VE228,VE228,, Network,,,,,,,,,Realtek RTL8111/8168/8411,, OS,,Ubuntu 18.04,Ubuntu 16.04,Ubuntu 16.04,Raspbian 9.6,Debian 9.0,Ubuntu 16.04,Ubuntu 18.04,Ubuntu 18.04,Ubuntu 18.04,Ubuntu 18.04 Kernel,,4.9.108-tegra (aarch64),4.4.38-tegra (aarch64),4.4.38-tegra (aarch64),4.19.23-v7+ (armv7l),4.4.16-00006-g4431f98-dirty (armv7l),4.4.38-tegra (aarch64),4.14.37-135 (armv7l),4.9.140-tegra (aarch64),4.9.156-14 (aarch64),3.16.57-20 (aarch64) Desktop,,Unity 7.5.0,Unity 7.4.0,Unity 7.4.0,LXDE,LXDE,Unity 7.4.5,,Unity 7.5.0,, Display Server,,X Server 1.19.6,X Server 1.18.4,X Server 1.18.4,X Server 1.19.2,X Server 1.18.4,X Server 1.18.4,X Server 1.19.6,X Server 1.19.6,,X Server 1.19.6 Display Driver,,NVIDIA 31.0.2,NVIDIA 28.2.1,NVIDIA 28.2.1,,,NVIDIA 28.1.0,,NVIDIA 1.0.0,, OpenGL,,4.6.0,4.5.0,4.5.0,,,4.5.0,3.3 Mesa 18.0.0-rc5 (LLVM 6.0 128 bits),,, Vulkan,,1.1.76,,,,,1.0.8,,1.1.85,, Compiler,,GCC 7.3.0 + CUDA 10.0,GCC 5.4.0 20160609 + CUDA 9.0,GCC 5.4.0 20160609 + CUDA 9.0,GCC 6.3.0 20170516,GCC 6.3.0 20170516,GCC 5.4.0 20160609,GCC 7.3.0,GCC 7.3.0 + CUDA 10.0,GCC 7.3.0,GCC 7.3.0 File-System,,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4 Screen Resolution,,1920x1080,1920x1080,1920x1080,656x416,1024x768,1920x1080,1920x1080,1920x1080,1920x2160,1920x1080 ,,"Jetson AGX Xavier","Jetson TX2 Max-P","Jetson TX2 Max-Q","Raspberry Pi 3 Model B+","ASUS TinkerBoard","Jetson TX1 Max-P","ODROID-XU4","Jetson Nano","ODROID-N2","ODROID-C2" "CUDA Mini-Nbody - Performance / Cost - Test: Original ((NBody^2)/s/Dollar)",HIB,0.04,0.01,0.01,,,,,0.04,, "CUDA Mini-Nbody - Test: Original ((NBody^2)/s)",HIB,47.13,8.24,6.77,,,,,4.07,, "TTSIOD 3D Renderer - Performance / Cost - Phong Rendering With Soft-Shadow Mapping (FPS/Dollar)",HIB,0.10,0.08,0.05,0.50,0.32,0.09,0.68,0.41,0.88, "TTSIOD 3D Renderer - Phong Rendering With Soft-Shadow Mapping (FPS)",HIB,133,49.26,28.85,17.66,21.22,45.09,41.96,40.94,57.42,22.10 "NVIDIA TensorRT Inference - Neural Network: VGG16 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,208.76,32.64,25.99,,,,,14.35,, "NVIDIA TensorRT Inference - Performance / Cost - Neural Network: ResNet50 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,0.69,0.08,0.07,,,,,0.21,, "NVIDIA TensorRT Inference - Neural Network: VGG16 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,303.78,17.56,14.24,,,,,,, "NVIDIA TensorRT Inference - Neural Network: VGG19 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,394.66,15.92,12.59,,,,,,, "NVIDIA TensorRT Inference - Neural Network: AlexNet - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,1200,264,216,,,,,118,, "NVIDIA TensorRT Inference - Neural Network: AlexNet - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,1143,184,148,,,,,84.10,, "NVIDIA TensorRT Inference - Neural Network: AlexNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,2038,462,374,,,,,201,, "NVIDIA TensorRT Inference - Neural Network: AlexNet - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,3143,301,237,,,,,128,, "NVIDIA TensorRT Inference - Neural Network: ResNet50 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,547.50,92.28,72.01,,,,,41.04,, "NVIDIA TensorRT Inference - Neural Network: ResNet50 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,902.78,49.97,39.15,,,,,20.96,, "NVIDIA TensorRT Inference - Neural Network: GoogleNet - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,796,197,156,,,,,83.37,, "NVIDIA TensorRT Inference - Neural Network: GoogleNet - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,1146,113,88.88,,,,,47.82,, "NVIDIA TensorRT Inference - Neural Network: ResNet152 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,224.19,35.11,27.34,,,,,15.76,, "NVIDIA TensorRT Inference - Neural Network: ResNet152 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,372.73,18.29,14.50,,,,,7.76,, "NVIDIA TensorRT Inference - Neural Network: ResNet50 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,636,111,86.08,,,,,46.51,, "NVIDIA TensorRT Inference - Neural Network: ResNet50 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,1215.08,59.69,47.15,,,,,25.08,, "NVIDIA TensorRT Inference - Neural Network: GoogleNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,1006,233,179,,,,,98.93,, "NVIDIA TensorRT Inference - Performance / Cost - Neural Network: VGG16 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,0.16,0.05,0.04,,,,,0.14,, "NVIDIA TensorRT Inference - Neural Network: GoogleNet - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,1693,130,104,,,,,55.66,, "NVIDIA TensorRT Inference - Neural Network: ResNet152 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,259.82,41.91,32.67,,,,,17.38,, "NVIDIA TensorRT Inference - Neural Network: ResNet152 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,493.22,22.07,17.36,,,,,,, "NVIDIA TensorRT Inference - Performance / Cost - Neural Network: VGG16 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,0.23,0.03,0.02,,,,,,, "NVIDIA TensorRT Inference - Performance / Cost - Neural Network: VGG19 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,0.13,0.04,0.04,,,,,0.12,, "NVIDIA TensorRT Inference - Performance / Cost - Neural Network: VGG19 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,0.20,0.02,0.02,,,,,,, "NVIDIA TensorRT Inference - Performance / Cost - Neural Network: VGG16 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,0.19,0.06,0.05,,,,,,, "NVIDIA TensorRT Inference - Performance / Cost - Neural Network: VGG16 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,0.37,0.03,0.03,,,,,,, "NVIDIA TensorRT Inference - Performance / Cost - Neural Network: VGG19 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,0.16,0.05,0.04,,,,,,, "NVIDIA TensorRT Inference - Neural Network: VGG16 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,247.95,36.87,29.83,,,,,,, "NVIDIA TensorRT Inference - Neural Network: VGG19 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,203.96,29.83,23.94,,,,,,, "NVIDIA TensorRT Inference - Performance / Cost - Neural Network: VGG19 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,0.30,0.03,0.02,,,,,,, "NVIDIA TensorRT Inference - Performance / Cost - Neural Network: AlexNet - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,0.92,0.44,0.36,,,,,1.19,, "NVIDIA TensorRT Inference - Performance / Cost - Neural Network: AlexNet - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,0.88,0.31,0.25,,,,,0.85,, "NVIDIA TensorRT Inference - Performance / Cost - Neural Network: AlexNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,1.57,0.77,0.62,,,,,2.03,, "NVIDIA TensorRT Inference - Performance / Cost - Neural Network: AlexNet - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,2.42,0.50,0.40,,,,,1.29,, "NVIDIA TensorRT Inference - Performance / Cost - Neural Network: ResNet50 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,0.42,0.15,0.12,,,,,0.41,, "NVIDIA TensorRT Inference - Neural Network: VGG19 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,172.50,26.56,21.04,,,,,11.59,, "NVIDIA TensorRT Inference - Performance / Cost - Neural Network: GoogleNet - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,0.61,0.33,0.26,,,,,0.84,, "NVIDIA TensorRT Inference - Neural Network: VGG19 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,265.81,14.32,11.45,,,,,,, "NVIDIA TensorRT Inference - Performance / Cost - Neural Network: GoogleNet - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,0.88,0.19,0.15,,,,,0.48,, "NVIDIA TensorRT Inference - Performance / Cost - Neural Network: ResNet152 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,0.17,0.06,0.05,,,,,0.16,, "NVIDIA TensorRT Inference - Performance / Cost - Neural Network: ResNet152 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,0.29,0.03,0.02,,,,,0.08,, "NVIDIA TensorRT Inference - Performance / Cost - Neural Network: ResNet50 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,0.49,0.19,0.14,,,,,0.47,, "NVIDIA TensorRT Inference - Performance / Cost - Neural Network: ResNet50 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,0.94,0.10,0.08,,,,,0.25,, "NVIDIA TensorRT Inference - Performance / Cost - Neural Network: GoogleNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,0.77,0.39,0.30,,,,,1.00,, "NVIDIA TensorRT Inference - Performance / Cost - Neural Network: GoogleNet - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,1.30,0.22,0.17,,,,,0.56,, "NVIDIA TensorRT Inference - Performance / Cost - Neural Network: ResNet152 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,0.20,0.07,0.05,,,,,0.18,, "NVIDIA TensorRT Inference - Performance / Cost - Neural Network: ResNet152 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec/Dollar)",HIB,0.38,0.04,0.03,,,,,,, "NVIDIA TensorRT Inference - Neural Network: VGG16 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,475.08,19.91,15.79,,,,,,, "7-Zip Compression - Performance / Cost - Compress Speed Test (MIPS/Dollar)",HIB,14.79,9.34,5.50,57.51,42.97,9.03,66.45,40.90,91.92, "7-Zip Compression - Compress Speed Test (MIPS)",HIB,19212,5593,3294,2013,2836,4508,4120,4049,5970,2121 "LeelaChessZero - Backend: BLAS (Nodes/s)",HIB,47.62,,,,,,,15.37,24.39,7.33 "LeelaChessZero - Backend: CUDA + cuDNN (Nodes/s)",HIB,953,,,,,,,140,, "LeelaChessZero - Backend: CUDA + cuDNN FP16 (Nodes/s)",HIB,2515.01,,,,,,,,, "LeelaChessZero - Performance / Cost - Backend: BLAS (Nodes/s/Dollar)",HIB,0.04,,,,,,,0.16,0.38, "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,,,,,,,,, "Meta Performance Per Dollar - Performance Per Dollar (Performance/Dollar)",HIB,,,,,,,,,19.17, "GLmark2 - Resolution: 1920 x 1080 (Score)",HIB,2876,,,,,,,646,, "GLmark2 - Performance / Cost - Resolution: 1920 x 1080 (Score/Dollar)",HIB,2.21,,,,,,,6.53,, "PyBench - Total For Average Test Times (Milliseconds)",LIB,3007,5408,8735,20913,11502,6339,5009,7084,5231,12184 "PyBench - Performance / Cost - Total For Average Test Times (Milliseconds x Dollar)",LIB,3906093.00,3239392.00,5232265.00,731955.00,759132.00,3163161.00,310558.00,701316.00,339753.45, "C-Ray - Total Time - 4K, 16 Rays Per Pixel (sec)",LIB,355,585,869,2030,1718,753,827,921,492,1535 "Rust Prime Benchmark - Prime Number Test To 200,000,000 (sec)",LIB,32.37,104.96,170.25,1097.69,1821.05,128.45,574.11,150.19,73.11,125.81 "Zstd Compression - Compressing ubuntu-16.04.3-server-i386.img, Compression Level 19 (sec)",LIB,80.06,144.97,253.80,342.23,496.62,145.80,,129.87,152.04,314.33 "FLAC Audio Encoding - WAV To FLAC (sec)",LIB,54.47,65.07,104.28,339.53,279.05,79.20,97.03,104.77,95.59,262.31 "OpenCV Benchmark - (sec)",LIB,128,296,493,2.74,,,520.70,271.04,243.05,474.35 "Tesseract OCR - Time To OCR 7 Images (sec)",LIB,71.94,,,,,,180.66,132.67,110.73,220.44 "C-Ray - Performance / Cost - Total Time - 4K, 16 Rays Per Pixel (sec x Dollar)",LIB,461145.00,350415.00,520531.00,71050.00,113388.00,375747.00,51274.00,91179.00,31940.46, "Rust Prime Benchmark - Performance / Cost - Prime Number Test To 200,000,000 (sec x Dollar)",LIB,42048.63,62871.04,101979.75,38419.15,120189.30,64096.55,35594.82,14868.81,4748.49, "Zstd Compression - Performance / Cost - Compressing ubuntu-16.04.3-server-i386.img, Compression Level 19 (sec x Dollar)",LIB,103997.94,86837.03,152026.20,11978.05,32776.92,72754.20,,12857.13,9875.00, "FLAC Audio Encoding - Performance / Cost - WAV To FLAC (sec x Dollar)",LIB,70756.53,38976.93,62463.72,11883.55,18417.30,39520.80,6015.86,10372.23,6208.57, "OpenCV Benchmark - Performance / Cost - (sec x Dollar)",LIB,166272.00,177304.00,295307.00,95.90,,,32283.40,26832.96,15786.10, "Tesseract OCR - Performance / Cost - Time To OCR 7 Images (sec x Dollar)",LIB,93450.06,,,,,,11200.92,13134.33,7191.91,