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
ODROID-N2 Benchmark Comparison
ODROID-N2 benchmarks for a future article.
,,"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","ODROID-N2","ODROID-C2"
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 Cortex-A73 @ 1.90GHz (6 Cores),Amlogic ARMv8 Cortex-A53 @ 1.54GHz (4 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,Hardkernel ODROID-N2,ODROID-C2
Memory,,4096MB,8192MB,8192MB,16384MB,4096MB,926MB,2048MB,2048MB,4096MB,2048MB
Disk,,16GB 016G32,31GB 032G34,31GB 032G34,31GB HBG4a2,32GB GB1QT,32GB GB2MW,32GB GB1QT,16GB AJTD4R,16GB AJTD4R,32GB GB1QT
Graphics,,NVIDIA Tegra X1,NVIDIA TEGRA,NVIDIA TEGRA,NVIDIA Tegra Xavier,NVIDIA TEGRA,BCM2708,,llvmpipe 2GB,OSD,OSD
Monitor,,VE228,VE228,VE228,VE228,VE228,,,VE228,,
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,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),4.9.156-14 (aarch64),3.16.57-20 (aarch64)
Desktop,,Unity 7.4.5,Unity 7.4.0,Unity 7.4.0,Unity 7.5.0,Unity 7.5.0,LXDE,LXDE,,,
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,,,,,
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),,
Vulkan,,1.0.8,,,1.1.76,1.1.85,,,,,
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 7.3.0,GCC 7.3.0
File-System,,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4
Screen Resolution,,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,656x416,1024x768,1920x1080,1920x2160,1920x1080
,,"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","ODROID-N2","ODROID-C2"
"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,,,,,
"TTSIOD 3D Renderer - Performance / Cost - Phong Rendering With Soft-Shadow Mapping (FPS/Dollar)",HIB,0.09,0.05,0.08,0.10,0.41,0.50,0.32,0.68,0.88,
"TTSIOD 3D Renderer - Phong Rendering With Soft-Shadow Mapping (FPS)",HIB,45.09,28.85,49.26,133,40.94,17.66,21.22,41.96,57.42,22.10
"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,,,,,
"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 - Neural Network: VGG16 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,,14.24,17.56,303.78,,,,,,
"NVIDIA TensorRT Inference - Neural Network: VGG19 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,,12.59,15.92,394.66,,,,,,
"NVIDIA TensorRT Inference - Neural Network: AlexNet - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,,216,264,1200,118,,,,,
"NVIDIA TensorRT Inference - Neural Network: AlexNet - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,,148,184,1143,84.10,,,,,
"NVIDIA TensorRT Inference - Neural Network: AlexNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,,374,462,2038,201,,,,,
"NVIDIA TensorRT Inference - Neural Network: AlexNet - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,,237,301,3143,128,,,,,
"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,,,,,
"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,,,,,
"NVIDIA TensorRT Inference - Neural Network: GoogleNet - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,,156,197,796,83.37,,,,,
"NVIDIA TensorRT Inference - Neural Network: GoogleNet - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,,88.88,113,1146,47.82,,,,,
"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,,,,,
"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,,,,,
"NVIDIA TensorRT Inference - Neural Network: ResNet50 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,,86.08,111,636,46.51,,,,,
"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,,,,,
"NVIDIA TensorRT Inference - Neural Network: GoogleNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,,179,233,1006,98.93,,,,,
"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: GoogleNet - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,,104,130,1693,55.66,,,,,
"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,,,,,
"NVIDIA TensorRT Inference - Neural Network: ResNet152 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,,17.36,22.07,493.22,,,,,,
"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: 32 - DLA Cores: Disabled (Images/sec)",HIB,,29.83,36.87,247.95,,,,,,
"NVIDIA TensorRT Inference - Neural Network: VGG19 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,,23.94,29.83,203.96,,,,,,
"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: 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 - 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 - Neural Network: VGG19 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,,21.04,26.56,172.50,11.59,,,,,
"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 - Neural Network: VGG19 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,,11.45,14.32,265.81,,,,,,
"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 - 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,,,,,,
"NVIDIA TensorRT Inference - Neural Network: VGG16 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,,15.79,19.91,475.08,,,,,,
"7-Zip Compression - Performance / Cost - Compress Speed Test (MIPS/Dollar)",HIB,9.03,5.50,9.34,14.79,40.90,57.51,42.97,66.45,91.92,
"7-Zip Compression - Compress Speed Test (MIPS)",HIB,4508,3294,5593,19212,4049,2013,2836,4120,5970,2121
"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,6339,8735,5408,3007,7084,20913,11502,5009,5231,12184
"PyBench - Performance / Cost - Total For Average Test Times (Milliseconds x Dollar)",LIB,3163161.00,5232265.00,3239392.00,3906093.00,701316.00,731955.00,759132.00,310558.00,339753.45,
"C-Ray - Total Time - 4K, 16 Rays Per Pixel (sec)",LIB,753,869,585,355,921,2030,1718,827,492,1535
"Rust Prime Benchmark - Prime Number Test To 200,000,000 (sec)",LIB,128.45,170.25,104.96,32.37,150.19,1097.69,1821.05,574.11,73.11,125.81
"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,,152.04,314.33
"FLAC Audio Encoding - WAV To FLAC (sec)",LIB,79.20,104.28,65.07,54.47,104.77,339.53,279.05,97.03,95.59,262.31
"OpenCV Benchmark - (sec)",LIB,,493,296,128,271.04,2.74,,520.70,243.05,474.35
"Tesseract OCR - Time To OCR 7 Images (sec)",LIB,,,,71.94,132.67,,,180.66,110.73,220.44
"C-Ray - Performance / Cost - Total Time - 4K, 16 Rays Per Pixel (sec x Dollar)",LIB,375747.00,520531.00,350415.00,461145.00,91179.00,71050.00,113388.00,51274.00,31940.46,
"Rust Prime Benchmark - Performance / Cost - Prime Number Test To 200,000,000 (sec x Dollar)",LIB,64096.55,101979.75,62871.04,42048.63,14868.81,38419.15,120189.30,35594.82,4748.49,
"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,,9875.00,
"FLAC Audio Encoding - Performance / Cost - WAV To FLAC (sec x Dollar)",LIB,39520.80,62463.72,38976.93,70756.53,10372.23,11883.55,18417.30,6015.86,6208.57,
"OpenCV Benchmark - Performance / Cost - (sec x Dollar)",LIB,,295307.00,177304.00,166272.00,26832.96,95.90,,32283.40,15786.10,
"Tesseract OCR - Performance / Cost - Time To OCR 7 Images (sec x Dollar)",LIB,,,,93450.06,13134.33,,,11200.92,7191.91,