Thelio Mega a fost conceput special pentru sarcini de lucru intensive de calcul grafic. Testele includ modele Inception3, Resnet50, Resnet152, VGG16 si Inception4. Am folosit Tensorman, disponibil in Pop! _OS, pentru a rula testele. Tensorman este un instrument care faciliteaza gestionarea lanturilor de instrumente Tensorflow.

Comenzile utilizate pentru a rula aceste teste in Pop! _OS 20.04 LTS

Install Tensorman

sudo apt install tensorman
sudo apt install nvidia-container-runtime
sudo usermod -aG docker $ USER
reboot

Clonati criteriile de referinta

git clone https://github.com/tensorflow/benchmarks.git
cd benchmarks

Executati testele

Tensorflow versiunea night este necesar pentru RTX 3090. Modificati –num_gpus = pentru a se potrivi cu setarea dvs. si –batch_size = pentru testul dorit.

tensorman pull nightly
tensorman +nightly run –gpu python – ./scripts/tf_cnn_benchmarks/tf_cnn_benchmarks.py –batch_size=128 –model=inception3 –variable_update=parameter_server –use_fp16=True –num_gpus=4
tensorman +nightly run –gpu python – ./scripts/tf_cnn_benchmarks/tf_cnn_benchmarks.py –batch_size=64 –model=inception4 –variable_update=parameter_server –use_fp16=True –num_gpus=4
tensorman +nightly run –gpu python – ./scripts/tf_cnn_benchmarks/tf_cnn_benchmarks.py –batch_size=128 –model=resnet50 –variable_update=parameter_server –use_fp16=True –num_gpus=4
tensorman +nightly run –gpu python – ./scripts/tf_cnn_benchmarks/tf_cnn_benchmarks.py –batch_size=64 –model=resnet152 –variable_update=parameter_server –use_fp16=True –num_gpus=4
tensorman +nightly run –gpu python – ./scripts/tf_cnn_benchmarks/tf_cnn_benchmarks.py –batch_size=128 –model=vgg16 –variable_update=parameter_server –use_fp16=True –num_gpus=4

Testele de mai sus sunt pentru masurarea performantei componentelor, dar nu si computerul si sistemul sau termic. Utilizarea intensa a GPU pe o perioada extinsa de timp demonstreaza performanta sistemului in scenarii din lumea reala. Mai multe detalii despre testarea respectiva si rezultatele pentru Thelio Mega vor aparea in curând.

Thelio Mega Configuration
AMD Ryzen Threadripper 3990X
250 GB Samsung 970 Evo Plus NVMe M.2 Drive
64GB 3200 MHz Kingston HyperX Memory
4 x NVIDIA GeForce RTX 2080ti (Gigabyte GV-N208TTURBO-11GC)
3 x NVIDIA GeForce RTX 3090 (Gigabyte GV-NG-BO 24GD)

Source: system76.com

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FlorinM                   gnulinux.ro
FlorinM
Utilizator Linux - Solus OS, pasionat de calatorii.
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