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⇱ Benchmarks: Google Cloud's New C4D VMs Deliver Remarkable Performance With AMD EPYC Turin - Phoronix

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Benchmarks: Google Cloud's New C4D VMs Deliver Remarkable Performance With AMD EPYC Turin

Written by Michael Larabel in Cloud on 9 April 2025 at 08:00 AM EDT. Page 6 of 7. 12 Comments.

👁 TensorFlow benchmark with settings of Device: CPU, Batch Size: 512, Model: ResNet-50. c4d-standard-64 was the fastest.

TensorFlow performed much better on C4D than C3D thanks to the full 512-bit data path with the 5th Gen AMD EPYC processors.

👁 OpenVINO benchmark with settings of Model: Person Detection FP16, Device: CPU. c4d-standard-64 was the fastest.

👁 OpenVINO benchmark with settings of Model: Person Detection FP16, Device: CPU. c4d-standard-32 was the fastest.

👁 OpenVINO benchmark with settings of Model: Face Detection FP16-INT8, Device: CPU. c4d-standard-64 was the fastest.

👁 OpenVINO benchmark with settings of Model: Face Detection FP16-INT8, Device: CPU. c4d-standard-32 was the fastest.

👁 OpenVINO benchmark with settings of Model: Vehicle Detection FP16-INT8, Device: CPU. c4d-standard-64 was the fastest.

👁 OpenVINO benchmark with settings of Model: Vehicle Detection FP16-INT8, Device: CPU. c4d-standard-32 was the fastest.

👁 OpenVINO benchmark with settings of Model: Face Detection Retail FP16-INT8, Device: CPU. c4d-standard-64 was the fastest.

👁 OpenVINO benchmark with settings of Model: Road Segmentation ADAS FP16-INT8, Device: CPU. c4d-standard-64 was the fastest.

👁 OpenVINO benchmark with settings of Model: Machine Translation EN To DE FP16, Device: CPU. c4d-standard-64 was the fastest.

👁 OpenVINO benchmark with settings of Model: Machine Translation EN To DE FP16, Device: CPU. c4d-standard-64 was the fastest.

👁 OpenVINO benchmark with settings of Model: Person Vehicle Bike Detection FP16, Device: CPU. c4d-standard-64 was the fastest.

👁 OpenVINO benchmark with settings of Model: Noise Suppression Poconet-Like FP16, Device: CPU. c4d-standard-64 was the fastest.

👁 OpenVINO benchmark with settings of Model: Person Re-Identification Retail FP16, Device: CPU. c4d-standard-64 was the fastest.

Likewise with OpenVINO for CPU-based AI testing there were phenomenal gains to find moving from C3D to C4D instances on Google Cloud.

👁 Llama.cpp benchmark with settings of Backend: CPU BLAS, Model: Llama-3.1-Tulu-3-8B-Q8_0, Test: Text Generation 128. c4d-standard-64 was the fastest.

👁 Llama.cpp benchmark with settings of Backend: CPU BLAS, Model: Llama-3.1-Tulu-3-8B-Q8_0, Test: Prompt Processing 2048. c4d-standard-64 was the fastest.

👁 Llama.cpp benchmark with settings of Backend: CPU BLAS, Model: Mistral-7B-Instruct-v0.3-Q8_0, Test: Text Generation 128. c4d-standard-64 was the fastest.

👁 Llama.cpp benchmark with settings of Backend: CPU BLAS, Model: granite-3.0-3b-a800m-instruct-Q8_0, Test: Text Generation 128. c4d-standard-64 was the fastest.

👁 Llama.cpp benchmark with settings of Backend: CPU BLAS, Model: granite-3.0-3b-a800m-instruct-Q8_0, Test: Prompt Processing 2048. c4d-standard-64 was the fastest.

👁 OpenVINO GenAI benchmark with settings of Model: TinyLlama-1.1B-Chat-v1.0, Device: CPU. c4d-standard-64 was the fastest.

The Google C4D instance type provides for very strong CPU-based machine learning tasks.

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