tflite ARMv8 Cortex-A78E testing with a NVIDIA Jetson Orin NX Engineering Developer Kit (36.3.0-gcid-36191598 BIOS) and Orin on Ubuntu 22.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2408266-NE-TFLITE07592&grs .
tflite Processor Motherboard Memory Disk Graphics Network OS Kernel Desktop Display Server Display Driver Vulkan Compiler File-System Screen Resolution all the tests ARMv8 Cortex-A78E @ 1.98GHz (8 Cores) NVIDIA Jetson Orin NX Engineering Developer Kit (36.3.0-gcid-36191598 BIOS) 16GB 128GB FORESEE XP1000F128G Orin Realtek RTL8111/8168/8411 Ubuntu 22.04 5.15.136-tegra (aarch64) GNOME Shell 42.9 X Server 1.21.1.4 NVIDIA 1.3.251 GCC 11.4.0 + CUDA 12.2 ext4 6582x1234 OpenBenchmarking.org - Transparent Huge Pages: always - Scaling Governor: tegra194 performance - gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Mitigation of CSV2 but not BHB + srbds: Not affected + tsx_async_abort: Not affected
tflite tensorflow-lite: Inception ResNet V2 tensorflow-lite: Mobilenet Quant tensorflow-lite: Mobilenet Float tensorflow-lite: NASNet Mobile tensorflow-lite: Inception V4 tensorflow-lite: SqueezeNet all the tests 117694 3301.55 6786.49 22728.5 128840 8917.33 OpenBenchmarking.org
TensorFlow Lite Model: Inception ResNet V2 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2022-05-18 Model: Inception ResNet V2 all the tests 30K 60K 90K 120K 150K SE +/- 254.65, N = 3 117694
TensorFlow Lite Model: Mobilenet Quant OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2022-05-18 Model: Mobilenet Quant all the tests 700 1400 2100 2800 3500 SE +/- 4.21, N = 3 3301.55
TensorFlow Lite Model: Mobilenet Float OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2022-05-18 Model: Mobilenet Float all the tests 1500 3000 4500 6000 7500 SE +/- 22.54, N = 3 6786.49
TensorFlow Lite Model: NASNet Mobile OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2022-05-18 Model: NASNet Mobile all the tests 5K 10K 15K 20K 25K SE +/- 140.88, N = 3 22728.5
TensorFlow Lite Model: Inception V4 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2022-05-18 Model: Inception V4 all the tests 30K 60K 90K 120K 150K SE +/- 626.35, N = 3 128840
TensorFlow Lite Model: SqueezeNet OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2022-05-18 Model: SqueezeNet all the tests 2K 4K 6K 8K 10K SE +/- 43.22, N = 3 8917.33
Phoronix Test Suite v10.8.5