Plumerai Video Intelligence platform support¶

Supported platforms¶

The Plumerai Video Intelligence library is optimized for fast, memory-efficient inference across a wide range of processors, from embedded devices to high-performance systems. It leverages SIMD and AI accelerators where available to maximize efficiency and is extensively tested for reliability and compatibility across the following platforms:

• Arm Cortex-A with/without Neon:
  • Armv7 and aarch64/ARM64.
  • Cortex-A5, A7, A9, A15, A35, A53, A72, etc.
  • NXP i.MX, QualComm Snapdragon, Renesas RZ, TI Sitara.
  • Raspberry Pi 3/4/5 and similar devices.
• Arm Cortex-M with/without Helium:
  • Arm Cortex-M33, M4, M7, M55, M85.
• Neural Processing Units (NPUs) and AI accelerators:
  • Ambarella CV series 'Vector Processor' VP (e.g. CV28).
  • Anyka NNE NPU.
  • Arm Ethos-U.
  • Realtek Ameba Pro2 'Intelligent Engine' NPU.
  • SigmaStar IPU.
• x86 and x86_64 with SSE2, SSE4, AVX, AVX2, AVX512:
  • Intel Celeron, i3, i5, i7, Xeon, etc.
  • AMD Opteron, Ryzen, Epyc, etc.
  • Desktops, laptops, cloud.
• Microcontrollers (MCUs):
  • Arm Cortex-M (see above).
  • Espressif ESP32-S3 with Tensilica Xtensa LX7.
  • Synopsys ARC EM4.
  • RISC-V.

The Plumerai Video Intelligence library can run on:

• Bare-metal systems.
• RTOS-based systems.
• Full operating systems: Linux, Windows, macOS.

Additional features:

• Supports static memory allocation, making it compatible with systems that lack dynamic memory allocation.
• Can operate without requiring the C++ standard library, enabling use in highly constrained environments.

Expected latency¶

Below is a table with expected latency numbers for some example Arm CPUs and input resolutions¹: