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by brucehoult 19 days ago
The performance gap between RISC-V and x86 or Arm is in fact closing.

The SpacemiT K3 machines which most people who ordered in early May have now received are comparable to the RK3588 and Pi 5, with Rock 5 delivered to customers in mid 2022, Orange Pi 5 at the end of that year, and Pi 5 in October 2023.

So that's at most a 4 year gap, less than 3 years in the cast of the Pi 5.

That is the highest performance Arm64 machine most SBC users have. The faster CIX P1 exists but it seems that very few people actually have Orion O2 or Orange Pi 6 Plus.

Before the launch of the K3, the previous gen early 2022 to early 2024 JH7110, TH1520, K1 were somewhere around 6 years behind Arm SBCs.

RISC-V machines expected late this year (let's say early next year) will be similar to CIX P1, so just a 1-2 year gap.

Vs x86 the previous generation RISC-V was something like one of the last Pentium III or PowerPC G4, while the K3 is mid range Core 2 verging on early i5/i7 in many regards. So that's caught up on Intel by something close to ten years in four years. And the next gen will be somewhere around Zen 2 or whichever Skylake iteration is in the same ballpark.

Even more importantly than the gap, once that SkyLake to Zen 2 to Apple M1 performance band is reached, that is a performance level that remains "good enough" in 2026 for most users of computing devices for their everyday web browsing, media consumption, productivity/business app uses. I'm typing this on an M1 that I sit at all day every day (using it to access some faster machines for heavy work), and I have a lightweight Zen 2 laptop that I use for travel.
1 comments
inkyoto 18 days ago
Performance gap is not closing in specimens commercially available today, and the promises of it «happening any moment from now» are now indistinguishable from monthly horoscopes.

For example, Zen 2 is a 2019 design, and the 64-core SG2044 C920v2, which was released in May 2025, a three-decode, four-dispatch core at about 2.6 GHz, with 128-bit vectors is still approximately[0]:

  – 9 times slower in the block tridiagonal solver at 64 cores;

  – 2.05 times slower in the lower-upper Gauss-Seidel solver;

  – 2.05 times slower in the scalar pentadiagonal solver.
Given a six year gap between two design (2019 vs 2025), the result is wholly underwhelming.

The reason why those three solvers are particularly interesting, especially in the HPC scenario, is because all three exercise substantial amounts of (unlike hobbyist and similar synthetic benchmarks):

  – Floating-point computation;

  – Memory hierarchy behaviour;

  – Cache utilisation;

  – Synchronisation;

  – Compiler optimisation;

  – Overall processor throughput.
Another, June 2026, study using production astrophysics codes found the SG2044 roughly 3–6 times slower[1] than an AMD EPYC 9554 system and 3–9 times slower than an Nvidia Grace system, workload depending.

[0] https://arxiv.org/html/2508.13840v1

[1] https://arxiv.org/abs/2508.13840v1

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