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⇱ AMD Ryzen AI 7 PRO 360 Linux Performance With The Lenovo ThinkPad T14s Gen 6 Review - Phoronix

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AMD Ryzen AI 7 PRO 360 Linux Performance With The Lenovo ThinkPad T14s Gen 6

Written by Michael Larabel in Computers on 10 April 2025 at 10:20 AM EDT. Page 7 of 9. 14 Comments.

👁 Llama.cpp benchmark with settings of Backend: CPU BLAS, Model: Llama-3.1-Tulu-3-8B-Q8_0, Test: Text Generation 128. Core Ultra 7 256V - ASUS Zenbook S14 was the fastest.

👁 Llama.cpp benchmark with settings of Backend: CPU BLAS, Model: Llama-3.1-Tulu-3-8B-Q8_0, Test: Text Generation 128. Core Ultra 7 256V - ASUS Zenbook S14 was the fastest.

👁 Llama.cpp benchmark with settings of Backend: CPU BLAS, Model: Llama-3.1-Tulu-3-8B-Q8_0, Test: Text Generation 128. Core Ultra 7 256V - ASUS Zenbook S14 was the fastest.

👁 Llama.cpp benchmark with settings of Backend: CPU BLAS, Model: Llama-3.1-Tulu-3-8B-Q8_0, Test: Prompt Processing 512. Ryzen 7 7840HS - Framework 16 was the fastest.

👁 Llama.cpp benchmark with settings of Backend: CPU BLAS, Model: Llama-3.1-Tulu-3-8B-Q8_0, Test: Prompt Processing 512. Ryzen 7 7840HS - Framework 16 was the fastest.

👁 Llama.cpp benchmark with settings of Backend: CPU BLAS, Model: Llama-3.1-Tulu-3-8B-Q8_0, Test: Prompt Processing 512. Ryzen 7 7840HS - Framework 16 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. Ryzen AI 9 365 - ASUS Zenbook S16 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. Ryzen AI 9 365 - ASUS Zenbook S16 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. Ryzen AI 9 365 - ASUS Zenbook S16 was the fastest.

👁 Llama.cpp benchmark with settings of Backend: CPU BLAS, Model: granite-3.0-3b-a800m-instruct-Q8_0, Test: Prompt Processing 512. Ryzen 7 7840HS - Framework 16 was the fastest.

👁 Llama.cpp benchmark with settings of Backend: CPU BLAS, Model: granite-3.0-3b-a800m-instruct-Q8_0, Test: Prompt Processing 512. Ryzen 7 7840HS - Framework 16 was the fastest.

👁 Llama.cpp benchmark with settings of Backend: CPU BLAS, Model: granite-3.0-3b-a800m-instruct-Q8_0, Test: Prompt Processing 512. Ryzen 7 7840HS - Framework 16 was the fastest.

👁 Llama.cpp benchmark with settings of Backend: CPU BLAS, Model: Mistral-7B-Instruct-v0.3-Q8_0, Test: Prompt Processing 512. Ryzen 7 7840HS - Framework 16 was the fastest.

👁 Llama.cpp benchmark with settings of Backend: CPU BLAS, Model: Mistral-7B-Instruct-v0.3-Q8_0, Test: Prompt Processing 512. Ryzen 7 7840HS - Framework 16 was the fastest.

👁 Llama.cpp benchmark with settings of Backend: CPU BLAS, Model: Mistral-7B-Instruct-v0.3-Q8_0, Test: Prompt Processing 512. Ryzen 7 7840HS - Framework 16 was the fastest.

👁 Whisper.cpp benchmark with settings of Model: ggml-small.en, Input: 2016 State of the Union. Ryzen 7 7840HS - Framework 16 was the fastest.

👁 Whisper.cpp benchmark with settings of Model: ggml-small.en, Input: 2016 State of the Union. Ryzen 7 7840HS - Framework 16 was the fastest.

👁 Whisper.cpp benchmark with settings of Model: ggml-small.en, Input: 2016 State of the Union. Ryzen 7 7840HS - Framework 16 was the fastest.

👁 PyTorch benchmark with settings of Device: CPU, Batch Size: 1, Model: ResNet-50. Ryzen 7 7840HS - Framework 16 was the fastest.

👁 PyTorch benchmark with settings of Device: CPU, Batch Size: 1, Model: ResNet-50. Ryzen 7 7840HS - Framework 16 was the fastest.

👁 PyTorch benchmark with settings of Device: CPU, Batch Size: 1, Model: ResNet-50. Ryzen 7 7840HS - Framework 16 was the fastest.

👁 PyTorch benchmark with settings of Device: CPU, Batch Size: 16, Model: ResNet-50. Ryzen 7 7840HS - Framework 16 was the fastest.

👁 PyTorch benchmark with settings of Device: CPU, Batch Size: 16, Model: ResNet-50. Ryzen 7 7840HS - Framework 16 was the fastest.

👁 PyTorch benchmark with settings of Device: CPU, Batch Size: 16, Model: ResNet-50. Ryzen 7 7840HS - Framework 16 was the fastest.

👁 LiteRT benchmark with settings of Model: Mobilenet Quant. Ryzen 7 7840HS - Framework 16 was the fastest.

👁 LiteRT benchmark with settings of Model: Mobilenet Quant. Ryzen 7 7840HS - Framework 16 was the fastest.

👁 LiteRT benchmark with settings of Model: Mobilenet Quant. Ryzen 7 7840HS - Framework 16 was the fastest.

👁 LiteRT benchmark with settings of Model: Inception ResNet V2. Ryzen 7 7840HS - Framework 16 was the fastest.

👁 LiteRT benchmark with settings of Model: Inception ResNet V2. Ryzen 7 7840HS - Framework 16 was the fastest.

👁 LiteRT benchmark with settings of Model: Inception ResNet V2. Ryzen 7 7840HS - Framework 16 was the fastest.

The AMD Zen 4 and Zen 5 laptops perform much better than Intel Lunar Lake and friends for AI workloads, thanks to AVX-512 support. Strong finishes for Strix Point in performance and power efficiency for the AI/ML workloads as expected.

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