Jetson AGX Xavier vs. Jetson TX2 TensorRT

NVIDIA Jetson TensorRT inference benchmarks by Michael Larabel for a future article on Phoronix.

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  Duration
Jetson AGX Xavier
December 23 2018
  6 Hours, 30 Minutes
Jetson TX2
December 24 2018
  6 Hours, 26 Minutes
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  6 Hours, 28 Minutes
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Jetson AGX Xavier vs. Jetson TX2 TensorRT NVIDIA Jetson TensorRT inference benchmarks by Michael Larabel for a future article on Phoronix. ,,"Jetson AGX Xavier","Jetson TX2" Processor,,ARMv8 rev 0 @ 2.27GHz (8 Cores),ARMv8 rev 3 @ 2.04GHz (4 Cores / 6 Threads) Motherboard,,jetson-xavier,quill Memory,,16384MB,8192MB Disk,,31GB HBG4a2,31GB 032G34 Graphics,,NVIDIA Tegra Xavier,NVIDIA Tegra X2 Monitor,,ASUS VP28U,VE228 OS,,Ubuntu 18.04,Ubuntu 16.04 Kernel,,4.9.108-tegra (aarch64),4.4.38-tegra (aarch64) Desktop,,Unity 7.5.0,Unity 7.4.0 Display Server,,X Server 1.19.6,X Server 1.18.4 Display Driver,,NVIDIA 31.0.2,NVIDIA 28.2.1 OpenGL,,4.6.0,4.5.0 Vulkan,,1.1.76, Compiler,,GCC 7.3.0 + CUDA 10.0,GCC 5.4.0 20160609 + CUDA 9.0 File-System,,ext4,ext4 Screen Resolution,,1920x1080,1920x1080 ,,"Jetson AGX Xavier","Jetson TX2" "NVIDIA TensorRT Inference - Neural Network: ResNet50 - Precision: INT8 - Batch Size: 4 (Images/sec)",HIB,865.46,50.39 "NVIDIA TensorRT Inference - Neural Network: GoogleNet - Precision: FP16 - Batch Size: 4 (Images/sec)",HIB,546,202 "NVIDIA TensorRT Inference - Neural Network: ResNet152 - Precision: INT8 - Batch Size: 16 (Images/sec)",HIB,445.22,20.77 "NVIDIA TensorRT Inference - Neural Network: ResNet50 - Precision: FP16 - Batch Size: 4 (Images/sec)",HIB,542.80,93.61 "NVIDIA TensorRT Inference - Neural Network: ResNet50 - Precision: INT8 - Batch Size: 16 (Images/sec)",HIB,1106.13,57.18 "NVIDIA TensorRT Inference - Neural Network: GoogleNet - Precision: INT8 - Batch Size: 16 (Images/sec)",HIB,1340,125 "NVIDIA TensorRT Inference - Neural Network: VGG19 - Precision: INT8 - Batch Size: 4 (Images/sec)",HIB,262.17,14.62 "NVIDIA TensorRT Inference - Neural Network: ResNet152 - Precision: INT8 - Batch Size: 4 (Images/sec)",HIB,350.28,17.97 "NVIDIA TensorRT Inference - Neural Network: VGG19 - Precision: FP16 - Batch Size: 4 (Images/sec)",HIB,172.15,26.49 "NVIDIA TensorRT Inference - Neural Network: VGG19 - Precision: FP16 - Batch Size: 8 (Images/sec)",HIB,184.43,27.02 "NVIDIA TensorRT Inference - Neural Network: VGG16 - Precision: INT8 - Batch Size: 8 (Images/sec)",HIB,341.20,19.89 "NVIDIA TensorRT Inference - Neural Network: VGG16 - Precision: INT8 - Batch Size: 4 (Images/sec)",HIB,286.64,17.98 "NVIDIA TensorRT Inference - Neural Network: VGG16 - Precision: FP16 - Batch Size: 8 (Images/sec)",HIB,215.68,33.68 "NVIDIA TensorRT Inference - Neural Network: GoogleNet - Precision: INT8 - Batch Size: 4 (Images/sec)",HIB,652,114 "NVIDIA TensorRT Inference - Neural Network: VGG19 - Precision: INT8 - Batch Size: 8 (Images/sec)",HIB,296.94,16.02 "NVIDIA TensorRT Inference - Neural Network: ResNet152 - Precision: FP16 - Batch Size: 4 (Images/sec)",HIB,219.08,35.60 "NVIDIA TensorRT Inference - Neural Network: VGG16 - Precision: FP16 - Batch Size: 16 (Images/sec)",HIB,228.75,36.44 "NVIDIA TensorRT Inference - Neural Network: ResNet50 - Precision: FP16 - Batch Size: 16 (Images/sec)",HIB,593,106 "NVIDIA TensorRT Inference - Neural Network: VGG16 - Precision: FP16 - Batch Size: 32 (Images/sec)",HIB,246.76,37.24 "NVIDIA TensorRT Inference - Neural Network: GoogleNet - Precision: FP16 - Batch Size: 16 (Images/sec)",HIB,858,218 "NVIDIA TensorRT Inference - Neural Network: VGG16 - Precision: INT8 - Batch Size: 16 (Images/sec)",HIB,381.33,20.50 "NVIDIA TensorRT Inference - Neural Network: ResNet152 - Precision: FP16 - Batch Size: 16 (Images/sec)",HIB,224.60,40.19 "NVIDIA TensorRT Inference - Neural Network: VGG16 - Precision: INT8 - Batch Size: 32 (Images/sec)",HIB,449.96,19.87 "NVIDIA TensorRT Inference - Neural Network: VGG16 - Precision: FP16 - Batch Size: 4 (Images/sec)",HIB,195.45,32.30 "NVIDIA TensorRT Inference - Neural Network: VGG19 - Precision: FP16 - Batch Size: 16 (Images/sec)",HIB,180.03,28.97 "NVIDIA TensorRT Inference - Neural Network: ResNet50 - Precision: FP16 - Batch Size: 8 (Images/sec)",HIB,582.36,99.05 "NVIDIA TensorRT Inference - Neural Network: VGG19 - Precision: FP16 - Batch Size: 32 (Images/sec)",HIB,201.53,29.57 "NVIDIA TensorRT Inference - Neural Network: ResNet50 - Precision: INT8 - Batch Size: 8 (Images/sec)",HIB,944.46,51.07 "NVIDIA TensorRT Inference - Neural Network: VGG19 - Precision: INT8 - Batch Size: 16 (Images/sec)",HIB,362.08,16.38 "NVIDIA TensorRT Inference - Neural Network: GoogleNet - Precision: FP16 - Batch Size: 8 (Images/sec)",HIB,863,198 "NVIDIA TensorRT Inference - Neural Network: VGG19 - Precision: INT8 - Batch Size: 32 (Images/sec)",HIB,390.57,15.99 "NVIDIA TensorRT Inference - Neural Network: GoogleNet - Precision: INT8 - Batch Size: 8 (Images/sec)",HIB,1049,117 "NVIDIA TensorRT Inference - Neural Network: AlexNet - Precision: FP16 - Batch Size: 4 (Images/sec)",HIB,799,261 "NVIDIA TensorRT Inference - Neural Network: ResNet152 - Precision: FP16 - Batch Size: 8 (Images/sec)",HIB,234.84,36.71 "NVIDIA TensorRT Inference - Neural Network: AlexNet - Precision: FP16 - Batch Size: 8 (Images/sec)",HIB,1247,300 "NVIDIA TensorRT Inference - Neural Network: ResNet152 - Precision: INT8 - Batch Size: 8 (Images/sec)",HIB,407.01,19.48 "NVIDIA TensorRT Inference - Neural Network: AlexNet - Precision: INT8 - Batch Size: 4 (Images/sec)",HIB,975,179 "NVIDIA TensorRT Inference - Neural Network: ResNet50 - Precision: FP16 - Batch Size: 32 (Images/sec)",HIB,613,110 "NVIDIA TensorRT Inference - Neural Network: AlexNet - Precision: INT8 - Batch Size: 8 (Images/sec)",HIB,1237,222 "NVIDIA TensorRT Inference - Neural Network: ResNet50 - Precision: INT8 - Batch Size: 32 (Images/sec)",HIB,1184.50,59.45 "NVIDIA TensorRT Inference - Neural Network: AlexNet - Precision: FP16 - Batch Size: 16 (Images/sec)",HIB,1435,370 "NVIDIA TensorRT Inference - Neural Network: GoogleNet - Precision: FP16 - Batch Size: 32 (Images/sec)",HIB,956,230 "NVIDIA TensorRT Inference - Neural Network: AlexNet - Precision: FP16 - Batch Size: 32 (Images/sec)",HIB,1900,472 "NVIDIA TensorRT Inference - Neural Network: GoogleNet - Precision: INT8 - Batch Size: 32 (Images/sec)",HIB,1622,130 "NVIDIA TensorRT Inference - Neural Network: AlexNet - Precision: INT8 - Batch Size: 16 (Images/sec)",HIB,1879,258 "NVIDIA TensorRT Inference - Neural Network: ResNet152 - Precision: FP16 - Batch Size: 32 (Images/sec)",HIB,253.34,41.87 "NVIDIA TensorRT Inference - Neural Network: AlexNet - Precision: INT8 - Batch Size: 32 (Images/sec)",HIB,2666,307 "NVIDIA TensorRT Inference - Neural Network: ResNet152 - Precision: INT8 - Batch Size: 32 (Images/sec)",HIB,485.22,22.05 "GLmark2 - Resolution: 1920 x 1080 (Score)",HIB,2861,