Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 1904211-HV-ODROID75005
Jetson Nano Developer Kit
ODROID-N2
,,"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","ARMv8 Cortex-A73"
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)
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
Memory,,16384MB,8192MB,8192MB,926MB,2048MB,4096MB,2048MB,4096MB,4096MB
Disk,,31GB HBG4a2,31GB 032G34,31GB 032G34,32GB GB2MW,32GB GB1QT,16GB 016G32,16GB AJTD4R,32GB GB1QT,16GB AJTD4R
Graphics,,NVIDIA Tegra Xavier,NVIDIA TEGRA,NVIDIA TEGRA,BCM2708,,NVIDIA Tegra X1,llvmpipe 2GB,NVIDIA TEGRA,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
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)
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,
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
File-System,,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4
Screen Resolution,,1920x1080,1920x1080,1920x1080,656x416,1024x768,1920x1080,1920x1080,1920x1080,1920x2160
,,"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","ARMv8 Cortex-A73"
"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
"Tesseract OCR - Time To OCR 7 Images (sec)",LIB,71.94,,,,,,180.66,132.67,110.73
"NVIDIA TensorRT Inference - Neural Network: GoogleNet - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,1146,113,88.88,,,,,47.82,
"LeelaChessZero - Backend: BLAS (Nodes/s)",HIB,47.62,,,,,,,15.37,24.39
"NVIDIA TensorRT Inference - Neural Network: AlexNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,2038,462,374,,,,,201,
"LeelaChessZero - Backend: CUDA + cuDNN (Nodes/s)",HIB,953,,,,,,,140,
"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 - 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: VGG16 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,208.76,32.64,25.99,,,,,14.35,
"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 - 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: GoogleNet - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,796,197,156,,,,,83.37,
"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: ResNet50 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,547.50,92.28,72.01,,,,,41.04,
"LeelaChessZero - Backend: CUDA + cuDNN FP16 (Nodes/s)",HIB,2515.01,,,,,,,,
"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
"7-Zip Compression - Compress Speed Test (MIPS)",HIB,19212,5593,3294,2013,2836,4508,4120,4049,5970
"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
"C-Ray - Total Time - 4K, 16 Rays Per Pixel (sec)",LIB,355,585,869,2030,1718,753,827,921,492
"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
"OpenCV Benchmark - (sec)",LIB,128,296,493,2.74,,,520.70,271.04,243.05
"PyBench - Total For Average Test Times (Milliseconds)",LIB,3007,5408,8735,20913,11502,6339,5009,7084,5231
"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: ResNet152 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,493.22,22.07,17.36,,,,,,
"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: 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: AlexNet - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,1143,184,148,,,,,84.10,
"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: VGG19 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,394.66,15.92,12.59,,,,,,
"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 - Neural Network: VGG16 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled (Images/sec)",HIB,475.08,19.91,15.79,,,,,,
"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: VGG19 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,265.81,14.32,11.45,,,,,,
"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: VGG16 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled (Images/sec)",HIB,303.78,17.56,14.24,,,,,,
"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,
"CUDA Mini-Nbody - Test: Original ((NBody^2)/s)",HIB,47.13,8.24,6.77,,,,,4.07,
"GLmark2 - Resolution: 1920 x 1080 (Score)",HIB,2876,,,,,,,646,
"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
"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
"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
"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
"CUDA Mini-Nbody - Performance / Cost - Test: Original ((NBody^2)/s/Dollar)",HIB,0.04,0.01,0.01,,,,,0.04,
"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 - 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 - 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 - 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 - 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 - 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,,,,,,
"OpenCV Benchmark - Performance / Cost - (sec x Dollar)",LIB,166272.00,177304.00,295307.00,95.90,,,32283.40,26832.96,15786.10
"GLmark2 - Performance / Cost - Resolution: 1920 x 1080 (Score/Dollar)",HIB,2.21,,,,,,,6.53,
"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,,,,,,,,
"Tesseract OCR - Performance / Cost - Time To OCR 7 Images (sec x Dollar)",LIB,93450.06,,,,,,11200.92,13134.33,7191.91
"Meta Performance Per Dollar - Performance Per Dollar (Performance/Dollar)",HIB,,,,,,,,,19.17