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kdlucas
byte-unixbench
C2019–2026
kdlucas / byte-unixbench

byte-unixbench

Automatically exported from code.google.com/p/byte-unixbench

5Distinct people
6Mentions
0Explicit recommenders
1.4KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Automatically exported from code.google.com/p/byte-unixbench

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

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This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year6 dated mentions

Observed mentions: 2019-02-09 14:38:10 UTC to 2026-04-19 19:30:07 UTC.

0122019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments20222023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC101
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC202
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC211
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC000
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC000
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC101

What Hacker News says

6 sources
Some of the most interesting benchmarks here: Dhrystone 2: 253.2 on the Mango Pi MQ Pro, 202 on the Raspberry Pi Zero. I don't know what this number is; presumably it's not Dhrystone MIPS (VAX MIPS), because that should be closer to 1000 for both chips, and it can't possibly be Dhrystones per second, because a VAX MIPS is 1757 Dhrystones per second, so they ought to be about 1.8 million Dhrystones per second. Reading https://github.com/kdlucas/byte-unixbench/blob/master/UnixBe... leaves me no wiser. File Copy 1024: 124.4 on the MQ Pro, 86 on the Raspberry Pi Zero. The UnixBench README says this is measured in the number of characters that can be written, read, and copied in 10 seconds; if this were correct it would mean the MQ Pro were copying 12.4 bytes per second and the Raspberry Pi Zero W was copying 8.6 bytes per second. It seems
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inescapable that Bret's results are incorrect by several orders of magnitude here. C copy backwards: 1197.4 MB/s (not MiB/s as I previously read incorrectly) on the MQ Pro, 157.2 on the Zero W. Something went wrong here. Standard memcpy: 1200.9 MB/s on the MQ Pro, 424.8 on the Zero W. Standard memset: 2650.6 MB/s on the MQ Pro, 1699.9 on the Zero W. This seems surprisingly slow; you'd think an 8x-unrolled loop of SD instructions on a 1GHz RISC-V would memset about 5 gigabytes per second, if it got one instruction per clock, which it normally ought to. The XuanTie C906 core in the AllWinner D1 C906 is 64-bit, which is potentially an advantage for this; the analogous code for ARM6 can only write 32 bits per instruction. (The ARM has an STM instruction that stores multiple registers, but it doesn't actually run faster.) I'm not sure what happened to the extra factor of 2 in performance. Similar remarks apply to the memcpy results above. Amazon Basics 64GB MicroSD card: MQ Pro reads sequentially at 11.48 MB/s, writes sequentially at 10.77 MB/s; Zero W reads sequentially at 21.36 MB/s, writes sequentially at 19.6 MB/s. (I'm ignoring the random reads and writes because he doesn't specify the read and write size, yet he gives the results in MB/s instead of IOPS.) Note that these are six orders of magnitude faster than the 12.4 and 8.6 bytes per second given earlier. Unfortunately Weber doesn't link to the benchmark code or document his compilation and execution environment. Presumably the memset and memcpy results are largely measuring the performance of the libc functions, for example, so reproducing them would require knowing if he's using glibc, musl, or a C library he wrote himself. Mostly I feel like these benchmarking results are not well enough specified to be useful, which is a shame. I'd like to be able to use this kind of benchmark to predict the performance of a system within a factor of 5 or so, but these results are too irreproducible for that.
In RISC-V based single board computers are getting there
I can't help but think that this isn't a very well thought out criticism. I'll go through each of them and spell out why I think this critique doesn't hold any weight. Let me start by saying that I use IBM Cloud and I've switched to IBM Cloud from AWS. 1. There are several IBM Cloud pages—and they’re all talking about different things --it's pretty easy to find the right IBM Cloud address and honestly, anyone that can't find https://cloud.ibm.com probably isn't qualified to provide a review. 2. During signup, the user experience is… lacking --If you can't figure out how to enter a password into a box then it's probably best to go back to elementary school or kindergarten to work on the basics. Pretty much any autogenerated password gets accepted--I have 3 separate IBM Cloud accounts and I've never had a single issue figuring out how to se
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t my password when registering. if 20% of your criticism of IBM's cloud offering is based on this issue then you're already grasping at straws. 3. Privacy notices—who needs ‘em? I'm not sure exactly what the criticism is here other than this notice wasn't updated after CA adopted new legislation. You didn't state why they are non-compliant or what your actual issue is. I'd suggest you do a better job of spelling out what the actual issue is vs. making weak arguments. I've now addressed 60% of your argument and nothing actually has to do with the cloud offering--it seems you couldn't figure out how to actually set up a cloud account based on your own arguments--SAD! 4. The onboarding experience is. . .also lacking: "Whoever designed this needs to be put on a PIP. Services are sorted alphabetically, and there’s no guided onboarding. Language like this—Want to spin up a VM / storage bucket / toilet in which to drown yourself? Start here!—is always useful. Next, we learn that “Lite” and free are two different things. We also are given two compute options: Container Registry Cloud Foundry Either IBM or I have no clue what a “Cloud Foundry” is; it could really go either way and at this point I’m too scared to ask." --Based on your lack of cohesive arguments so far, I'm going to guess that you actually have no semblance of an idea about what you are talking about. If you're a user of Cloud Foundry PaaS then I suspect you don't know much about it. IBM has been a provider of Cloud Foundry PaaS for several years and it's actually quite simple to use and also fairly well documented. Not doing your homework and making meritless judgements about a cloud provider isn't winning you friends or helping you to influence people. I'd suggest you spend some time getting familiar with the site and actually trying to explore the offerings instead of making ridiculous observations about a platform you have obviously never used. By comparison, I find that AWS interface to be very cluttered and not very well laid out--but maybe that's just me. I quite like the IBM Carbon Design interface libraries... so much so that I use them in my own web/interface development projects--they are very clean and offer a well thought out look and feel. 4/5 of your complains have held no water and do not actually address the cloud offering--I can't help but think you are in some way biased or unqualified to offer a review at this point. Also, if you couldn't figure out that the "Lite" plan is free to use then I think you should probably revisit my critique from comment number 2. 5. As for using the actual services? Yikes. --at this point you've fully disgraced your self and rendered your own critique to be worthless. One of the key elements of the IBM Cloud is that it's extremely configurable. You can spin up any number of linux boxes with Ubuntu, Debian, CentOS, RedHat or bring your own image. Not only is IBM more configurable and more aligned to open source, but it's also more performant across number of key features--they dominate lower, general and high intensity workload performance benchmarks for IOPS, Throughput and HA/Durability across block and file storage offerings. In terms of performance for compute, if you use a standard unix bench script (https://github.com/kdlucas/byte-unixbench.git) you will find that the price to performance comparison is also favorable to IBM's VM's vs their peers. I've not run these tests for a year or so but the last I checked IBM had a better price to performance value vs both AWS and MSFT (I didn't check for google) for both bare metal and virtual servers when testing on CentOS. Nothing you've said really holds much weight and pretty much every observation you've made here was cursory. I think it would do you well to spend some additional time to actually understand how the offering differs and why it may be a better product or not for your particular use case. I don't expect that everyone will fall in love with IBM Cloud but I think they have a pretty solid offering and it continues to improve at a rapid pace. I moved away from AWS a few years back and while I was happy with my AWS IaaS, I find that I like the IBM offering more. Just my $0.02.
In Takeaways from Poking Around IBM Cloud

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