AMD Ryzen 7040 Series Shows Great AVX-512 Performance For Laptops / Mobile / Edge

Written by Michael Larabel in Processors on 13 July 2023 at 12:00 PM EDT. Page 8 of 8. 34 Comments.

Across all of the AVX=512=capable workloads tested, the Ryzen 7 7840U within the Acer Swift Edge 16 was putting on a great show. Similar to the Ryzen desktop and EPYC server benchmarks with Zen 4, the AVX-512 with the new Phoenix mobile/laptop chips is in great shape.

Geometric Mean Of All Test Results benchmark with settings of Result Composite, Ryzen 7 7840U AMD Zen 4 AVX-512 Analysis. Ryzen 7 7840U: AVX512 On was the fastest.

When taking the geometric mean of all the performance results used for this comparison, the Ryzen 7 7840U was 54% faster compared to when disabling AVX-512. In comparison the i7-1165G7 Tiger Lake impact came in at 34% with these AVX-512-heavy benchmarks or 35% with the i7-1065G7 Ice Lake SoC for that generation where AVX-512 on Intel laptops became common.

CPU Peak Freq (Highest CPU Core Frequency) Monitor benchmark with settings of Phoronix Test Suite System Monitoring.

Running these AVX-512 heavy codes hadn't impacted the peak frequency being achieved for this laptop and the Ryzen 7 7840U had no troubles matching the peak frequencies observed when not engaging AVX-512. Tiger Lake was also in good shape in this regard while Ice Lake (and Skylake-X) is where there tended to be more frequency repercussions.

CPU Power Consumption Monitor benchmark with settings of Phoronix Test Suite System Monitoring.

With using AVX-512 on the Ryzen 7040 series laptops you can safely do so without worrying over loss of battery life... The CPU power numbers remain basically the same as if sticking to AVX2 or other non-AVX-512 code paths.

CPU Temperature Monitor benchmark with settings of Phoronix Test Suite System Monitoring.

Likewise, the CPU SoC temperature of the Ryzen 7 7840U was roughly the same when using AVX-512.

Overall the AVX-512 usage across the AMD Zen 4 product spectrum has been great. The efficient AVX-512 usage on the mobile/laptop processors is great for those developers wanting to work and test code from their device, if wanting to use any AI / deep learning software for edge computing or related use-cases, or just enjoying other AVX-512 optimized software from CPU-based renderers to other creator software packages. Those wishing to go through this round of data I collected for Phoenix / Tiger Lake / Ice Lake can find it here with all the individual per-test metrics.

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About The Author
Michael Larabel

Michael Larabel is the principal author of Phoronix.com and founded the site in 2004 with a focus on enriching the Linux hardware experience. Michael has written more than 20,000 articles covering the state of Linux hardware support, Linux performance, graphics drivers, and other topics. Michael is also the lead developer of the Phoronix Test Suite, Phoromatic, and OpenBenchmarking.org automated benchmarking software. He can be followed via Twitter, LinkedIn, or contacted via MichaelLarabel.com.