numpy-agx-maxn

ARMv8 Cortex-A78E testing on Ubuntu 20.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2401304-NE-NUMPYAGXM64
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Result
Identifier
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Performance Per
Dollar
Date
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  Test
  Duration
ARMv8 Cortex-A78E
January 30
  20 Minutes


numpy-agx-maxnOpenBenchmarking.orgPhoronix Test SuiteARMv8 Cortex-A78E @ 2.20GHz (12 Cores)EDK II 2.1-3241364062GB1000GB Elements 1078 + 64GB G1M15MG226HQLRealtek RTL8822CE 802.11ac PCIeUbuntu 20.045.10.104-tegra (aarch64)GNOME Shell 3.36.9X Server 1.20.13NVIDIA1.3.212GCC 9.4.0 + CUDA 11.4ext41920x1080ProcessorMotherboardMemoryDiskMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverVulkanCompilerFile-SystemScreen ResolutionNumpy-agx-maxn BenchmarksSystem Logs- Transparent Huge Pages: always- Scaling Governor: tegra194 schedutil- Python 2.7.18 + Python 3.8.10- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkARMv8 Cortex-A78E4080120160200SE +/- 0.62, N = 3186.81