#geekbench

Live, measured metrics for the hashtag #geekbench from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #geekbench

This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.

$51.02/ year · 9-character #name
Claim #geekbench — $51.02/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0.3
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-09-28 01:53 UTC
0
09-22
0
09-23
0
09-24
0
09-25
0
09-26
0
09-27
0
09-28

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · fosstodon.org (Mastodon public search API) · fetched 2026-09-28 01:53 UTC
#geekbench7
0 uses · 0 accounts / 7d
#geekbench_ai
0 uses · 0 accounts / 7d
#geekbench_7
0 uses · 0 accounts / 7d
#GeekbenchCompute
0 uses · 0 accounts / 7d
#GeekBench5
0 uses · 0 accounts / 7d
#geekbench_6
0 uses · 0 accounts / 7d
#geekbenchai
0 uses · 0 accounts / 7d
#geekbenchleak
0 uses · 0 accounts / 7d
#geekbench6
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-28 01:53 UTC

Everything below is measured over the latest 40 public posts (spanning ~5519 hours).

Posting hours (UTC) — busiest: 17:00

00:0012:0023:00

Languages: English (18) · Italian (8) · French (7) · German (3) · Japanese (3) · Polish (1)

Avg boosts / post: 0.4

Top of the latest posts

  • The $699 base MacBook Neo (recently upped by Apple from $599) outperforms the $1049 Steam Machine in terms of CPU power. Frame taken from this short review of Valve's new device: https://youtu.be/vYWbZGcIKVI?is=dOOda5WMYGPi7laS #SteamMachin

    Blake Patterson@[email protected]♥ 5↻ 22026-07-02 00:32 UTCView post →

  • Apparently my #ThinkPad T14s Gen 6 with a #Qualcomm SoC is faster than my #Framework13 with Intel Core Ultra 125H: https://browser.geekbench.com/v6/cpu/compare/16645340?baseline=17377862 - at least according to #GeekBench 6

    Zygmunt Krynicki@zygoon♥ 5↻ 12026-03-30 21:02 UTCView post →

  • Computering! On RISC-V! 😀 (from the SpacemiT K3 technical overview) If geekbench results can be trusted, the 16-core K3 has twice the single-core score compared to our 64-core Milk-V Pioneer and about the same multi-core score. Radxa's O6N

    Michael Engel@[email protected]♥ 2↻ 12026-07-05 21:35 UTCView post →

What “geekbench” means

Wikipedia

Geekbench is a proprietary and freemium cross-platform utility for benchmarking the central processing unit (CPU) and graphics processing unit (GPU) of computers, laptops, tablets, and phones.

“Geekbench” on Wikipedia (CC BY-SA) →

#geekbench across platforms

every network with a public tag surface

Follow #geekbench straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/geekbench