CPU Benchmark Performance: AI and Inferencing

As technology progresses at a breakneck pace, so too do the demands of modern applications and workloads. With artificial intelligence (AI) and machine learning (ML) becoming increasingly intertwined with our daily computational tasks, it's paramount that our reviews evolve in tandem. Recognizing this, we have AI and inferencing benchmarks in our CPU test suite for 2024. 

Traditionally, CPU benchmarks have focused on various tasks, from arithmetic calculations to multimedia processing. However, with AI algorithms now driving features within some applications, from voice recognition to real-time data analysis, it's crucial to understand how modern processors handle these specific workloads. This is where our newly incorporated benchmarks come into play.

As chip makers such as AMD with Ryzen AI and Intel with their Meteor Lake mobile platform feature AI-driven hardware within the silicon, it seems in 2024, and we're going to see many applications using AI-based technologies coming to market.

We are using DDR5-5200 memory as per the JEDEC specifications on the Ryzen 7 8700G and Ryzen 5 8600G, as well as DDR4-3200 on the Ryzen 7 5700G and Ryzen 5 5600G. The same methodology is also used for the AMD Ryzen 7000 series and Intel's 14th, 13th, and 12th Gen processors. Below are the settings we have used for each platform:

  • DDR5-5200 CL44 - Ryzen 8000G
  • DDR4-3200 CL22 - Ryzen 5000G
  • DDR5-5600B CL46 - Intel 14th & 13th Gen
  • DDR5-5200 CL44 - Ryzen 7000
  • DDR5-4800 (B) CL40 - Intel 12th Gen

(6-2) DeepSpeech 0.6: Acceleration CPU

(6-3) TensorFlow 2.12: VGG-16, Batch Size 16 (CPU)

(6-3b) TensorFlow 2.12: VGG-16, Batch Size 64 (CPU)

(6-3d) TensorFlow 2.12: GoogLeNet, Batch Size 16 (CPU)

(6-3e) TensorFlow 2.12: GoogLeNet, Batch Size 64 (CPU)

(6-3f) TensorFlow 2.12: GoogLeNet, Batch Size 256 (CPU)

(6-4) UL Procyon Windows AI Inference: MobileNet V3 (float32)

(6-4b) UL Procyon Windows AI Inference: ResNet 50 (float32)

(6-4c) UL Procyon Windows AI Inference: Inception V4 (float32)

(6-1) ONNX Runtime 1.14: CaffeNet 12-int8 (CPU Only)

(6-1b) ONNX Runtime 1.14: CaffeNet 12-int8 (CPU Only)

A major focal point of AMD's Ryzen 8000G series is the inclusion of the Xilinx-based Ryzen AI NPU. While AI benchmarks and those measuring capabilities using large language models (LLMs) are thin off the ground, none of our benchmarks utilize the NPU itself. Much of the Ryzen AI NPU is based and, as such, is focused on enabling software features such as those generative AI capabilities within Microsoft Studio Effects and software such as Adobe and Davinci.

In ONNX Runtime using the utilized INT8 model, we can see that the Ryzen 7 8700G and Ryzen 5 8600G don't offer world-beating AI performance, but we intend to investigate this more deeply.

Using the latest firmware, which removes the STAPM limitations, we can see that the Ryzen 5 8600G shows the most gains, especially in DeepSpeech 0.6, where we saw a 12% bump in performance. The Ryzen 7 8700G also posted some very impressive gains in the UL Procyon Windows AI Inferencing benchmark, with a 34% jump in performance in our charts, but this could be a case where it underperformed in the MobileNet V3 test in the first place.

CPU Benchmark Performance: Science And Simulation iGPU Gaming Performance: 720p And Lower
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  • TesseractOrion - Saturday, February 3, 2024 - link

    Maybe take your meds Maxijazz if you feel so "threatened" LMAO.

    Right trash snowflakes get triggered so easily *sigh*
  • TesseractOrion - Saturday, February 3, 2024 - link

    You do, since it's triggered your usual inane response LOL
  • t.s - Tuesday, January 30, 2024 - link

    As stated on other review comments, you'll be better served with 7840hs mini-pc. Better priced, better idle, better upper-limit power, almost as good againts 8700G (if there's given headroom).
  • FWhitTrampoline - Tuesday, January 30, 2024 - link

    There's no Processor upgrade path for the 7840HS as It's BGA and soldered to the MB! And there's 3rd party software for upping the TDP past 65W on the Mobile and Desktop Ryzen APUs!
  • nandnandnand - Tuesday, January 30, 2024 - link

    You don't need the upgrade path. The path you need to take is just use the thing for a few years and retire it for lighter duty (e.g. HTPC) or give it to a poor kid when you're done.
  • Thunder 57 - Wednesday, January 31, 2024 - link

    Tell that to everyone who upgraded CPU's on AM4.
  • meacupla - Wednesday, January 31, 2024 - link

    AM4 had a very long socket life. Long enough that AMD ran out of CPU numbers they could use in EEPROM with a single BIOS.

    AM5's life expectancy remains questionable.
  • meacupla - Tuesday, January 30, 2024 - link

    8700G costs so much that it is a terrible choice to begin with.
    For the same price, you can get an i3-12100F with RX 6600, and it'll spit out more frames.
  • Thunder 57 - Wednesday, January 31, 2024 - link

    I wouldn't recommend a 4 core CPU these days.
  • meacupla - Wednesday, January 31, 2024 - link

    Yes, but if you are budget constrained and think the 8 core 8700G is good value, you would be sorely mistaken.

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