SPRUJD0 July   2024 AM67 , AM67A , TDA4AEN-Q1 , TDA4VEN-Q1

 

  1.   1
  2. 1Abstract
  3.   Trademarks
  4. 2Contributions to Power
  5. 3How to Use the Tool
    1. 3.1 Use Case
  6. 4Results Sheet
    1. 4.1 Some Specific Pre-loaded Use Case Results
      1. 4.1.1 ARM Only
      2. 4.1.2 Superset
      3. 4.1.3 3MegaPixel Front Camera
  7. 5Revision History

4.1.3 3MegaPixel Front Camera

And finally, a use case representative of the vision analytics features of the device – front camera input run through deep learning algorithms.

The device loading is shown in the following table.

Table 4-7 Compute Device Configuration
Core Frequency Utilization
A53 CPU 1250 50%
A53 CPU 1250 50%
A53 CPU 1250 50%
A53 CPU 1250 50%
C7x 912.5 50%
MMA 912.5 50%
C7x 912.5 0%
MMA 912.5 100%
R5F 800 60%
R5F 800 40%
R5F 800 40%
Double DSS7UL + DSI + OLDI wrap 320 0%
GPU BXS4-64-256KB DUST AM67 720 0%
GPU BXS4-64-256KB Rascal AM67 720 0%
GPU BXS4-64-256KB Wrap AM67 720 0%
VPAC3L 600 90%
DMPAC 300 61%
WAVE521CL Video Codec 500 50%
CSI_RX 720 25%
CSI_RX 720 0%
CSI_RX 720 0%
CSI_RX 720 0%
CSI_TX 720 25%
CPSW3x 250 25%
PCIE_G3 4L 500 0%
USB2 Controller 125 0%
USB3P0TCx1 125 0%
LP/DDR4-32 PHY 3733 933.25 100%
EMMC 4 250 0%
EMMC 4 250 0%
EMMC 8 250 26%
GPMC_ELM 166.67 0%
SerDes 10G Common disable 0%
SerDes 10G Lane unused 0%
SerDes 10G Common disable 0%
SerDes 10G Lane unused 0%

The thermal power for the device is shown in the following table.

Table 4-8 Compute Thermal Power
Tj [C] Leakage Power [mW] Dynamic Power [mW] Total Power [mW]
125 2785 4957 7342
120 2442 4957 6999
115 2129 4957 6686
110 1867 4957 6424
105 1615 4957 6172
100 1403 4957 5960
95 1231 4957 5788
90 1060 4957 5617
85 909 4957 5466
80 784 4957 5341
75 668 4957 5225
50 311 4957 4868
25 144 4957 4701
0 78 4957 4635
-20 57 4957 4614
-40 46 4957 4603