ESP32 Embedded Vision & Edge AI Profiler

Hardware Configuration Preset Active

Preset Profile

MCU Clock Speed 240 MHz

Higher clock frequency directly decreases model inference time.

Vision Neural Architecture

AI Model Topology

Camera Frame Resolution

Quantization Precision

Conv Layer Depth 6 Layers

Tensor Arena Placement

Live Visual Tracking Canvas ● 60 FPS SIM

Latency: 14.2 ms Target Drift: 0.8 px

Pipeline Latency Breakdown (ms) Total: 15.0ms

Inference Time

14.20 ms

Estimated FPS

31.5

B-Box Lag / Delay

0.80 ms

Est. Power Draw

145 mA

ESP32 Memory Arena Floorplan Layout Tensor Arena: 280 KB

Internal High-Speed SRAM (512 KB Total) 210 KB / 512 KB (41%)

External SPI PSRAM (8 MB Total) 1450 KB / 8192 KB (17%)

Engine Validation State: PASS - Zero-Delay Realtime Tracking Capable

TFLM Memory Header Generator

Auto-generated TensorFlow Lite Micro tensor arena memory layout and model parameters.

// Generated by ESP32 Edge CV Profiler
#ifndef TFLM_ESP32_CONFIG_H
#define TFLM_ESP32_CONFIG_H

#define MCU_CLOCK_MHZ 240
#define TENSOR_ARENA_SIZE_KB 280
// Header content hydrates dynamically...