Dual-Core ARM Tegra 2 vs. Tegra X1 CompuLab Trim-Slice desktop running Ubuntu 11.04 Linux 2.6.38 kernel compared to Ubuntu 11.10 and Ubuntu 12.04 development testing under ARMv7 with soft float. The Trim-Slice is a NVIDIA TEGRA 2 ARM platform with a dual-core ARMv7 Cortex A9 clocked at 1.0GHz. With a SATA HDD and 1GB of RAM. Testing by Michael Larabel for a future article on Phoronix.com.
HTML result view exported from: https://openbenchmarking.org/result/1511151-HA-TEGRA287860 .
Dual-Core ARM Tegra 2 vs. Tegra X1 Processor Motherboard Memory Disk Graphics Network OS Kernel Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution Trim-Slice Tegra 2 NVIDIA Jetson TK1 ARMv7 rev 0 @ 1.00GHz (2 Cores) trimslice 875MB 250GB HM251HI NVIDIA TEGRA Realtek RTL8111/8168B Ubuntu 12.04 2.6.38.3-trimslice-1.01-01637-gc2b2d3e (armv7l) Unity 2D 5.0.0 X Server 1.10.4 tegra 2.1 Mesa 7.11 GCC 4.6 ext3 1280x960 Cortex A57 rev 1 @ 1.91GHz (4 Cores) jetson_tx1 4096MB 16GB 016G32 + 16GB SL16G Ubuntu 14.04 3.10.67-g3a5c467 (aarch64) Unity 7.2.2 X Server 1.15.1 NVIDIA 1.0.0 GCC 4.8.4 + CUDA 7.0 ext4 3840x2160 OpenBenchmarking.org System Details - Trim-Slice Tegra 2: Disk Scheduler: CFQ. Python 2.7.2+. Compiler Details - NVIDIA Jetson TK1: --build=arm-linux-gnueabihf --disable-browser-plugin --disable-libitm --disable-libmudflap --disable-libquadmath --disable-sjlj-exceptions --disable-werror --enable-checking=release --enable-clocale=gnu --enable-gnu-unique-object --enable-gtk-cairo --enable-java-awt=gtk --enable-java-home --enable-languages=c,c++,java,go,d,fortran,objc,obj-c++ --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc --enable-plugin --enable-shared --enable-threads=posix --host=arm-linux-gnueabihf --target=arm-linux-gnueabihf --with-arch-directory=arm --with-arch=armv7-a --with-float=hard --with-fpu=vfpv3-d16 --with-mode=thumb -v Processor Details - NVIDIA Jetson TK1: Scaling Governor: tegra interactive
Dual-Core ARM Tegra 2 vs. Tegra X1 c-ray: Total Time cachebench: Read / Modify / Write compress-pbzip2: 256MB File Compression mafft: Multiple Sequence Alignment npb: BT.A npb: CG.B npb: EP.B npb: LU.A npb: MG.B npb: SP.A npb: UA.A Trim-Slice Tegra 2 NVIDIA Jetson TK1 1372.52 2118.65 207.75 181.59 344.44 57.16 8.00 190.79 202.10 150.78 1.33 97.05 11157.87 35.53 44.49 3771.08 506.27 52.06 2209.95 1881.11 1627.65 11.17 OpenBenchmarking.org
C-Ray Total Time OpenBenchmarking.org Seconds, Fewer Is Better C-Ray 1.1 Total Time Trim-Slice Tegra 2 NVIDIA Jetson TK1 300 600 900 1200 1500 SE +/- 5.48, N = 3 SE +/- 7.26, N = 6 1372.52 97.05 1. (CC) gcc options: -lm -lpthread -O3 -ffast-math
CacheBench Test: Read / Modify / Write OpenBenchmarking.org MB/s, More Is Better CacheBench Test: Read / Modify / Write Trim-Slice Tegra 2 NVIDIA Jetson TK1 2K 4K 6K 8K 10K SE +/- 6.91, N = 3 SE +/- 1.70, N = 3 2118.65 11157.87 1. (CC) gcc options: -lrt
Parallel BZIP2 Compression 256MB File Compression OpenBenchmarking.org Seconds, Fewer Is Better Parallel BZIP2 Compression 1.0.5 256MB File Compression Trim-Slice Tegra 2 NVIDIA Jetson TK1 50 100 150 200 250 SE +/- 3.02, N = 4 SE +/- 0.09, N = 3 207.75 35.53 1. (CXX) g++ options: -O2 -pthread -lpthread -lbz2
Timed MAFFT Alignment Multiple Sequence Alignment OpenBenchmarking.org Seconds, Fewer Is Better Timed MAFFT Alignment 6.864 Multiple Sequence Alignment Trim-Slice Tegra 2 NVIDIA Jetson TK1 40 80 120 160 200 SE +/- 1.89, N = 3 SE +/- 0.17, N = 3 181.59 44.49 1. (CC) gcc options: -O3 -lm
NAS Parallel Benchmarks Test / Class: BT.A OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.3 Test / Class: BT.A Trim-Slice Tegra 2 NVIDIA Jetson TK1 800 1600 2400 3200 4000 SE +/- 0.75, N = 3 SE +/- 8.33, N = 3 344.44 3771.08 1. (F9X) gfortran options: -fopenmp
NAS Parallel Benchmarks Test / Class: CG.B OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.3 Test / Class: CG.B Trim-Slice Tegra 2 NVIDIA Jetson TK1 110 220 330 440 550 SE +/- 3.30, N = 6 SE +/- 1.80, N = 3 57.16 506.27 1. (F9X) gfortran options: -fopenmp
NAS Parallel Benchmarks Test / Class: EP.B OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.3 Test / Class: EP.B Trim-Slice Tegra 2 NVIDIA Jetson TK1 12 24 36 48 60 SE +/- 0.13, N = 4 SE +/- 0.09, N = 3 8.00 52.06 1. (F9X) gfortran options: -fopenmp
NAS Parallel Benchmarks Test / Class: LU.A OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.3 Test / Class: LU.A Trim-Slice Tegra 2 NVIDIA Jetson TK1 500 1000 1500 2000 2500 SE +/- 2.51, N = 3 SE +/- 2.95, N = 3 190.79 2209.95 1. (F9X) gfortran options: -fopenmp
NAS Parallel Benchmarks Test / Class: MG.B OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.3 Test / Class: MG.B Trim-Slice Tegra 2 NVIDIA Jetson TK1 400 800 1200 1600 2000 SE +/- 3.35, N = 6 SE +/- 8.62, N = 3 202.10 1881.11 1. (F9X) gfortran options: -fopenmp
NAS Parallel Benchmarks Test / Class: SP.A OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.3 Test / Class: SP.A Trim-Slice Tegra 2 NVIDIA Jetson TK1 300 600 900 1200 1500 SE +/- 1.18, N = 3 SE +/- 2.04, N = 3 150.78 1627.65 1. (F9X) gfortran options: -fopenmp
NAS Parallel Benchmarks Test / Class: UA.A OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.3 Test / Class: UA.A Trim-Slice Tegra 2 NVIDIA Jetson TK1 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 1.33 11.17 1. (F9X) gfortran options: -fopenmp
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