Reran in MODE_15W to confirm performance and got 27.7 ms.
nvidia@jetson-0423418010368:~/tensorrt/bin$ ./sample_uff_ssd --int8
../data/ssd/sample_ssd_relu6.uff
Begin parsing model...
End parsing model...
Begin building engine...
End building engine...
Num batches 2
PPM C=3, H=300, W=300, buffer size: 270000, c=3, h=300, w=300, copy size: 270000
flush...
PPM C=3, H=300, W=300, buffer size: 270000, c=3, h=300, w=300, copy size: 270000
flush...
Data Size 540000
*** deserializing
Time taken for inference is 27.7309 ms.
KeepCount 100
Detected dog in the image 0 (../data/ssd/dog.ppm) with confidence 90.811172% and coordinates (81.976357,22.518414),(295.958710,299.032471).
Result stored in dog-0.908112.ppm.
Detected dog in the image 0 (../data/ssd/dog.ppm) with confidence 87.930664% and coordinates (0.816657,0.000000),(117.601402,235.993164).
Result stored in dog-0.879307.ppm.
Detected truck in the image 1 (../data/ssd/bus.ppm) with confidence 81.315407% and coordinates (1.525819,122.979218),(250.242004,246.153259).
Result stored in truck-0.813154.ppm.
Detected car in the image 1 (../data/ssd/bus.ppm) with confidence 69.900932% and coordinates (173.104691,83.396996),(193.124130,95.357376).
Result stored in car-0.699009.ppm.
Detected person in the image 1 (../data/ssd/bus.ppm) with confidence 52.655731% and coordinates (278.384308,161.034729),(298.044464,255.471451).
Result stored in person-0.526557.ppm.
Reran in MAXN, seeing around 16.4 ms.
nvidia@jetson-0423418010368:~/tensorrt/bin$ sudo nvpmodel -m 0
nvidia@jetson-0423418010368:~/tensorrt/bin$ sudo ~/jetson_clocks.sh
nvidia@jetson-0423418010368:~/tensorrt/bin$ sudo ~/jetson_clocks.sh --show
SOC family:tegra194 Machine:jetson-xavier
Online CPUs: 0-7
CPU Cluster Switching: Disabled
cpu0: Gonvernor=schedutil MinFreq=2265600 MaxFreq=2265600 CurrentFreq=2265600
cpu1: Gonvernor=schedutil MinFreq=2265600 MaxFreq=2265600 CurrentFreq=2265600
cpu2: Gonvernor=schedutil MinFreq=2265600 MaxFreq=2265600 CurrentFreq=2265600
cpu3: Gonvernor=schedutil MinFreq=2265600 MaxFreq=2265600 CurrentFreq=2265600
cpu4: Gonvernor=schedutil MinFreq=2265600 MaxFreq=2265600 CurrentFreq=2265600
cpu5: Gonvernor=schedutil MinFreq=2265600 MaxFreq=2265600 CurrentFreq=2265600
cpu6: Gonvernor=schedutil MinFreq=2265600 MaxFreq=2265600 CurrentFreq=2265600
cpu7: Gonvernor=schedutil MinFreq=2265600 MaxFreq=2265600 CurrentFreq=2265600
GPU MinFreq=1377000000 MaxFreq=1377000000 CurrentFreq=1377000000
EMC MinFreq=204000000 MaxFreq=2133000000 CurrentFreq=2133000000 FreqOverride=1
Fan: speed=255
nvidia@jetson-0423418010368:~/tensorrt/bin$ ./sample_uff_ssd --int8
../data/ssd/sample_ssd_relu6.uff
Begin parsing model...
End parsing model...
Begin building engine...
End building engine...
Num batches 2
PPM C=3, H=300, W=300, buffer size: 270000, c=3, h=300, w=300, copy size: 270000
flush...
PPM C=3, H=300, W=300, buffer size: 270000, c=3, h=300, w=300, copy size: 270000
flush...
Data Size 540000
*** deserializing
Time taken for inference is 16.4324 ms.
KeepCount 100
Detected dog in the image 0 (../data/ssd/dog.ppm) with confidence 90.811172% and coordinates (81.976357,22.518414),(295.958710,299.032471).
Result stored in dog-0.908112.ppm.
Detected dog in the image 0 (../data/ssd/dog.ppm) with confidence 87.930664% and coordinates (0.816657,0.000000),(117.601402,235.993164).
Result stored in dog-0.879307.ppm.
Detected truck in the image 1 (../data/ssd/bus.ppm) with confidence 81.315407% and coordinates (1.525819,122.979218),(250.242004,246.153259).
Result stored in truck-0.813154.ppm.
Detected car in the image 1 (../data/ssd/bus.ppm) with confidence 69.900932% and coordinates (173.104691,83.396996),(193.124130,95.357376).
Result stored in car-0.699009.ppm.
Detected person in the image 1 (../data/ssd/bus.ppm) with confidence 52.655731% and coordinates (278.384308,161.034729),(298.044464,255.471451).
Result stored in person-0.526557.ppm.
This gives me something to play with for my problem. Thanks.