From 6f0fc170c13b216850b8a1a906c63c403d785f71 Mon Sep 17 00:00:00 2001 From: igneum-labs <337424239+igneum-labs@users.noreply.github.com> Date: Thu, 8 Oct 2026 09:57:36 +0000 Subject: [PATCH] Bench table: the model sweep's rows 16 to 19 (RTX A6000 53.64 MH/s at 239.1 W in the datacentre table, v5 level with v4 on an uncapped sm_86; GTX 1080 Ti 16.26 at 124.3 W with the one-in-three cache self-test flag until a second host decides; RTX 4060 19.09 with no watts, the host has no power sensor; RTX 2060 14.13 at 120.6 W, the floor of the list; rented and untuned, 8 October 2026) Co-Authored-By: Claude Fable 5.1 --- site/miner-bench.json | 88 +++++++++++++++++++++++++++++++++++++++++++ site/miners.html | 10 ++--- 2 files changed, 93 insertions(+), 5 deletions(-) diff --git a/site/miner-bench.json b/site/miner-bench.json index a2b002777..83b41a087 100644 --- a/site/miner-bench.json +++ b/site/miner-bench.json @@ -1109,6 +1109,94 @@ "pl_w": null, "label": "stock (rented card, no clock control on the host; no measured tune point)" } + }, + { + "generator": "v2", + "miner": "bench pack, igneum-worker-cuda, class v4 program (3 x 300 dispatches of 2^22)", + "date": "2026-10-08", + "by": "measured by the fleet", + "v4_cost": "not measured (class v4 program only)", + "tuned": "stock, bench only (rented, no clock control on the host)", + "card": "NVIDIA RTX A6000 (48 GB)", + "group": "datacentre", + "mh_s": 53.64, + "watts": 239.1, + "mh_per_w": 0.224, + "driver_os": "NVIDIA driver 595.84, Ubuntu 24.04 (CUDA 12.8.1 image)", + "source": "model sweep 2026-10-08, row 16 (a rented card, result cb2-rtx-a6000-48-gb-9600-result.json; 09:46Z)", + "note": "rented single-card host, 0.15 h; power.draw mean 239.1 W (max 251.0, limit 300 W), SM 1,913 MHz mean, memory 7,601 MHz, 65 C, no throttle reason; self-test PASS (96 of 96 vector lanes); the class v5 kit holds the rate (53.82 MH/s, fingerprint matched), so on an uncapped sm_86 card v5 is level with v4 and the A4000's v5 reading narrows to its power cap; read ceiling 53.8 MH/s, the hash at 1.00 of it. Repeats the 7 October row (53.66 then, 53.64 now) at 43 W less on this host; a 3090-class rate at a 3090-class draw", + "hive": { + "core_mhz": null, + "mem_mhz": null, + "pl_w": null, + "label": "stock (rented card, no clock control on the host; no measured tune point)" + } + }, + { + "generator": "v2", + "miner": "bench pack, igneum-worker-cuda, class v4 program (3 x 300 dispatches of 2^22)", + "date": "2026-10-08", + "by": "measured by the fleet", + "v4_cost": "not measured (class v4 program only)", + "tuned": "stock, bench only (rented; Pascal has no clock lock on any host)", + "card": "NVIDIA GTX 1080 Ti (11 GB)", + "group": "buy", + "mh_s": 16.26, + "watts": 124.3, + "mh_per_w": 0.131, + "driver_os": "NVIDIA driver 580.173.02, Ubuntu 24.04 (CUDA 12.8.1 image)", + "source": "model sweep 2026-10-08, row 17 (a rented card, result cb2-gtx-1080-ti-11-gb-0377-result.json; 09:49Z)", + "note": "FLAG: one of three class v4 builds on this host failed its cache self-test (the 256 MiB cache's FNV read wrong on that build while the other two and the class v5 kit build were clean: the host's VRAM or a Pascal-only build race); a second host decides, and until then this row carries the flag. The rate is the mean of the two clean runs (16.261, 16.260). Rented single-card host, 0.10 h; power.draw mean 124.3 W (max 125.5, limit 280 W; no power average on Pascal), SM 1,936 MHz mean, memory 5,005 MHz, 59 C; self-test PASS on the clean builds (96 of 96 vector lanes); the class v5 kit holds the rate (16.27 MH/s, fingerprint matched); read ceiling 16.3 MH/s, the hash at 1.00 of it. The first Pascal row: a 2017 card that runs the class at its own ceiling", + "hive": { + "core_mhz": null, + "mem_mhz": null, + "pl_w": null, + "label": "stock (rented card; Pascal has no clock lock; no measured tune point)" + } + }, + { + "generator": "v2", + "miner": "bench pack, igneum-worker-cuda, class v4 program (3 x 300 dispatches of 2^22)", + "date": "2026-10-08", + "by": "measured by the fleet", + "v4_cost": "not measured (class v4 program only)", + "tuned": "stock, bench only (rented, no clock control on the host)", + "card": "NVIDIA RTX 4060 (8 GB)", + "group": "buy", + "mh_s": 19.09, + "watts": null, + "mh_per_w": null, + "driver_os": "NVIDIA driver 595.91.07, Ubuntu 24.04 (CUDA 12.8.1 image)", + "source": "model sweep 2026-10-08, row 18 (a rented card, result cb2-rtx-4060-8-gb-0672-result.json; 09:53Z)", + "note": "watts not read: this host exposes no power sensor (every power field absent on all 244 samples, as the 7 October 4060 host); a third host is being rented for the watts, and the card's draw is about 60 to 70 W by its 115 W limit and the 4060 Ti's 79 W, an estimate until then. Rented single-card host, 0.12 h; SM 2,732 MHz mean, memory 8,251 MHz, 57 C, no throttle reason; self-test PASS (96 of 96 vector lanes); the class v5 kit holds the rate (19.11 MH/s, fingerprint matched); read ceiling 30.2 MH/s, the hash at 0.63 of it (the 128-bit bus: the independent-read line binds, as on the 2070 Super). Repeats the 7 October row (19.09 then, 19.10 now)", + "hive": { + "core_mhz": null, + "mem_mhz": null, + "pl_w": null, + "label": "stock (rented card, no clock control on the host; no measured tune point)" + } + }, + { + "generator": "v2", + "miner": "bench pack, igneum-worker-cuda, class v4 program (3 x 300 dispatches of 2^22)", + "date": "2026-10-08", + "by": "measured by the fleet", + "v4_cost": "not measured (class v4 program only)", + "tuned": "stock, bench only (rented, no clock control on the host)", + "card": "NVIDIA RTX 2060 (6 GB)", + "group": "buy", + "mh_s": 14.13, + "watts": 120.6, + "mh_per_w": 0.117, + "driver_os": "NVIDIA driver 580.159.03, Ubuntu 24.04 (CUDA 12.8.1 image)", + "source": "model sweep 2026-10-08, row 19 (a rented card, result cb2-rtx-2060-0673-result.json; 09:55Z)", + "note": "rented single-card host, 0.15 h; power.draw mean 120.6 W (max 124.6, limit 160 W; no power average on Turing), SM 1,948 MHz mean, memory 6,801 MHz, 69 C, no throttle reason; self-test PASS (96 of 96 vector lanes); the class v5 kit holds the rate (14.14 MH/s, fingerprint matched); read ceiling 16.1 MH/s, the hash at 0.88 of it. The floor of the list and the smallest card on it: the class v4 set fits with 4.6 GB spare; the same Turing per-watt floor as the 2070 Super and the 2080 Ti, so every Turing card earns the same per watt and only the absolute rate differs", + "hive": { + "core_mhz": null, + "mem_mhz": null, + "pl_w": null, + "label": "stock (rented card, no clock control on the host; no measured tune point)" + } } ] } diff --git a/site/miners.html b/site/miners.html index be1d30221..8abcfc7f6 100644 --- a/site/miners.html +++ b/site/miners.html @@ -213,7 +213,7 @@ table{min-width:560px}
-
33 cards you can buy, 11 datacentre, 0 fleet tuning models
+
36 cards you can buy, 12 datacentre, 0 fleet tuning models

GPU bench table

Measured hash rates per card on the Igneum lottery hash, with the generator version, the miner version, the date and the log entry behind each number.

@@ -265,10 +265,10 @@ table.bench2 tr.detail .d{display:block;margin:0 0 4px}table.bench2 tr.detail b{

Best desktop card: NVIDIA RTX 5090, 136.1 MH/s (measured, 2026-10-06). Best stock MH per wall watt: NVIDIA RTX 5070 Ti, 0.577 at 135.9 W, untuned (measured by the fleet, 2026-10-08). Best tuned: NVIDIA RTX 5090, 0.563 at 226.8 W (measured, 2026-10-06).

One row per card on the current class: the class v4 program (the latency-shadow block over the class v3 hash), or a class v3 row re-measured with its class v4 cost on 6 October 2026 or later. MH per wall watt uses board or wall power; a row whose watts are the chip's (Apple silicon: GPU plus DRAM from IOReport) says so and is not ranked on that column. Integrated GPUs are not listed.

Cards you can buy

-
NVIDIA RTX 5090 (32 GB)class v4 133.8 MH/s, 305 W, 0.439 · 2026-10-06136.1 stock (127.7 tuned)0.563226.8 tuned (350 stock) WTuned
NVIDIA RTX 5070 Ti (16 GB)class v4 not measured · 2026-10-0878.50.577135.9 WStock
NVIDIA RTX 5070 Ti (16 GB)class v4 not measured · 2026-10-0778.40.539145.6 WStock
NVIDIA RTX 5080 (16 GB)class v4 +83 W unlocked, +41 W at the best points · 2026-10-0871.4 stock (71.2 tuned)0.486146.6 tuned (253 stock) WTuned
NVIDIA RTX 3090 Ti (24 GB)class v4 not measured · 2026-10-07620.248249.5 WStock
NVIDIA RTX 3080 Ti (12 GB)class v4 not measured · 2026-10-07590.221267.3 WStock
NVIDIA RTX 3080 Ti (12 GB)class v4 not measured · 2026-10-0858.90.201293.5 WStock
NVIDIA RTX 4090 (24 GB)class v4 not measured · 2026-10-0752.30.285183.1 WStock
NVIDIA RTX 5070 (12 GB)class v4 not measured · 2026-10-07520.506102.8 WStock
NVIDIA RTX 5070 (12 GB)class v4 not measured · 2026-10-0851.80.468110.8 WStock
NVIDIA RTX 3090 (24 GB)class v4 not measured · 2026-10-0750not measurednot readStock
NVIDIA RTX 3080 (10 GB)class v4 not measured · 2026-10-0743.7not measurednot readStock
NVIDIA RTX 4070 Ti Super (16 GB)class v4 not measured · 2026-10-0841.20.289142.6 WStock
NVIDIA RTX 4080 (16 GB)class v4 not measured · 2026-10-0840.70.317128.6 WStock
NVIDIA RTX 3070 Ti (8 GB)class v4 not measured · 2026-10-07390.219178.3 WStock
NVIDIA RTX 3070 Ti (8 GB)class v4 not measured · 2026-10-08390.22177.1 WStock
NVIDIA RTX 3070 (8 GB)class v4 not measured · 2026-10-0837.10.261142.3 WStock
NVIDIA RTX 3070 (8 GB)class v4 not measured · 2026-10-0733.7not measurednot readStock
NVIDIA RTX 3060 Ti (8 GB)class v4 not measured · 2026-10-0733.10.256129.5 WStock
NVIDIA RTX 3060 Ti (8 GB)class v4 not measured · 2026-10-0831.70.316100.4 WStock
NVIDIA RTX 5060 (8 GB)class v4 not measured · 2026-10-0731.30.41575.4 WStock
NVIDIA RTX 4070 Ti (12 GB)class v4 not measured · 2026-10-0731.30.291107.3 WStock
NVIDIA RTX 4070 Super (12 GB)class v4 not measured · 2026-10-0831.20.312100.2 WStock
NVIDIA RTX 4070 (12 GB)class v4 +30 W · 2026-10-06310.38979.5 WTuned
NVIDIA RTX 5060 Ti (16 GB)class v4 0.1 percent rate · 2026-10-0730.90.269114.8 WStock
Apple M5 Max (40 GPU cores, Metal)class v4 +16 W · 2026-10-0627○ 1.2921 W chip, not wallNo lever
NVIDIA RTX 3060 (12 GB)class v4 not measured · 2026-10-0726.90.241111.6 WStock
NVIDIA RTX 2080 Ti (11 GB)class v4 not measured · 2026-10-08260.116224.6 WStock
NVIDIA RTX 4060 Ti (8 GB)class v4 not measured · 2026-10-0720.10.25977.5 WStock
NVIDIA RTX 4060 Ti (16 GB)class v4 not measured · 2026-10-0820.10.25379.2 WStock
NVIDIA RTX 2070 Super (8 GB)class v4 not measured · 2026-10-0819.10.115166 WStock
AMD Radeon RX 9070 XT (16 GB)class v4 +2 percent rate · 2026-10-0818.9 (18.8 to 19.2 on the G1 ladder)0.093202 stock WNo lever
Intel Arc B580 (12 GB)class v4 0.1 percent rate · 2026-10-0711not measurednot readStock
-

33 cards. Details opens a card's Hive flight-sheet values, its full class v4 cost, miner, source and note.

-
Datacentre (11 cards, rented for the measurement; about three times the rented dollars per hash of a desktop card) -
NVIDIA B200 (180 GB)class v4 not measured · 2026-10-07416.40.487855.6 WStock
NVIDIA H200 SXM (141 GB)class v4 not measured · 2026-10-073130.723432.9 WStock
NVIDIA H100 SXM (80 GB)class v4 not measured · 2026-10-07248.70.645385.6 WStock
NVIDIA H100 SXM (80 GB HBM3)class v4 not measured · 2026-10-08248.30.605411.7 WStock
NVIDIA A100 PCIe (80 GB)class v4 not measured · 2026-10-071550.517299.6 WStock
NVIDIA A100 SXM (80 GB)class v4 not measured · 2026-10-07138.40.52266.3 WStock
NVIDIA A100 SXM4 (80 GB)class v4 not measured · 2026-10-08138.10.515268.6 WStock
NVIDIA RTX PRO 6000 Blackwell (96 GB)class v4 not measured · 2026-10-07130.50.452288.7 WStock
NVIDIA L40S (48 GB)class v4 not measured · 2026-10-0756.40.234240.7 WStock
NVIDIA RTX A5000 (24 GB)class v4 not measured · 2026-10-0747.6not measurednot readStock
NVIDIA RTX A4000 (16 GB)class v4 not measured · 2026-10-0831.40.279112.8 WStock
+
NVIDIA RTX 5090 (32 GB)class v4 133.8 MH/s, 305 W, 0.439 · 2026-10-06136.1 stock (127.7 tuned)0.563226.8 tuned (350 stock) WTuned
NVIDIA RTX 5070 Ti (16 GB)class v4 not measured · 2026-10-0878.50.577135.9 WStock
NVIDIA RTX 5070 Ti (16 GB)class v4 not measured · 2026-10-0778.40.539145.6 WStock
NVIDIA RTX 5080 (16 GB)class v4 +83 W unlocked, +41 W at the best points · 2026-10-0871.4 stock (71.2 tuned)0.486146.6 tuned (253 stock) WTuned
NVIDIA RTX 3090 Ti (24 GB)class v4 not measured · 2026-10-07620.248249.5 WStock
NVIDIA RTX 3080 Ti (12 GB)class v4 not measured · 2026-10-07590.221267.3 WStock
NVIDIA RTX 3080 Ti (12 GB)class v4 not measured · 2026-10-0858.90.201293.5 WStock
NVIDIA RTX 4090 (24 GB)class v4 not measured · 2026-10-0752.30.285183.1 WStock
NVIDIA RTX 5070 (12 GB)class v4 not measured · 2026-10-07520.506102.8 WStock
NVIDIA RTX 5070 (12 GB)class v4 not measured · 2026-10-0851.80.468110.8 WStock
NVIDIA RTX 3090 (24 GB)class v4 not measured · 2026-10-0750not measurednot readStock
NVIDIA RTX 3080 (10 GB)class v4 not measured · 2026-10-0743.7not measurednot readStock
NVIDIA RTX 4070 Ti Super (16 GB)class v4 not measured · 2026-10-0841.20.289142.6 WStock
NVIDIA RTX 4080 (16 GB)class v4 not measured · 2026-10-0840.70.317128.6 WStock
NVIDIA RTX 3070 Ti (8 GB)class v4 not measured · 2026-10-07390.219178.3 WStock
NVIDIA RTX 3070 Ti (8 GB)class v4 not measured · 2026-10-08390.22177.1 WStock
NVIDIA RTX 3070 (8 GB)class v4 not measured · 2026-10-0837.10.261142.3 WStock
NVIDIA RTX 3070 (8 GB)class v4 not measured · 2026-10-0733.7not measurednot readStock
NVIDIA RTX 3060 Ti (8 GB)class v4 not measured · 2026-10-0733.10.256129.5 WStock
NVIDIA RTX 3060 Ti (8 GB)class v4 not measured · 2026-10-0831.70.316100.4 WStock
NVIDIA RTX 5060 (8 GB)class v4 not measured · 2026-10-0731.30.41575.4 WStock
NVIDIA RTX 4070 Ti (12 GB)class v4 not measured · 2026-10-0731.30.291107.3 WStock
NVIDIA RTX 4070 Super (12 GB)class v4 not measured · 2026-10-0831.20.312100.2 WStock
NVIDIA RTX 4070 (12 GB)class v4 +30 W · 2026-10-06310.38979.5 WTuned
NVIDIA RTX 5060 Ti (16 GB)class v4 0.1 percent rate · 2026-10-0730.90.269114.8 WStock
Apple M5 Max (40 GPU cores, Metal)class v4 +16 W · 2026-10-0627○ 1.2921 W chip, not wallNo lever
NVIDIA RTX 3060 (12 GB)class v4 not measured · 2026-10-0726.90.241111.6 WStock
NVIDIA RTX 2080 Ti (11 GB)class v4 not measured · 2026-10-08260.116224.6 WStock
NVIDIA RTX 4060 Ti (8 GB)class v4 not measured · 2026-10-0720.10.25977.5 WStock
NVIDIA RTX 4060 Ti (16 GB)class v4 not measured · 2026-10-0820.10.25379.2 WStock
NVIDIA RTX 2070 Super (8 GB)class v4 not measured · 2026-10-0819.10.115166 WStock
NVIDIA RTX 4060 (8 GB)class v4 not measured · 2026-10-0819.1not measurednot readStock
AMD Radeon RX 9070 XT (16 GB)class v4 +2 percent rate · 2026-10-0818.9 (18.8 to 19.2 on the G1 ladder)0.093202 stock WNo lever
NVIDIA GTX 1080 Ti (11 GB)class v4 not measured · 2026-10-0816.30.131124.3 WStock
NVIDIA RTX 2060 (6 GB)class v4 not measured · 2026-10-0814.10.117120.6 WStock
Intel Arc B580 (12 GB)class v4 0.1 percent rate · 2026-10-0711not measurednot readStock
+

36 cards. Details opens a card's Hive flight-sheet values, its full class v4 cost, miner, source and note.

+
Datacentre (12 cards, rented for the measurement; about three times the rented dollars per hash of a desktop card) +
NVIDIA B200 (180 GB)class v4 not measured · 2026-10-07416.40.487855.6 WStock
NVIDIA H200 SXM (141 GB)class v4 not measured · 2026-10-073130.723432.9 WStock
NVIDIA H100 SXM (80 GB)class v4 not measured · 2026-10-07248.70.645385.6 WStock
NVIDIA H100 SXM (80 GB HBM3)class v4 not measured · 2026-10-08248.30.605411.7 WStock
NVIDIA A100 PCIe (80 GB)class v4 not measured · 2026-10-071550.517299.6 WStock
NVIDIA A100 SXM (80 GB)class v4 not measured · 2026-10-07138.40.52266.3 WStock
NVIDIA A100 SXM4 (80 GB)class v4 not measured · 2026-10-08138.10.515268.6 WStock
NVIDIA RTX PRO 6000 Blackwell (96 GB)class v4 not measured · 2026-10-07130.50.452288.7 WStock
NVIDIA L40S (48 GB)class v4 not measured · 2026-10-0756.40.234240.7 WStock
NVIDIA RTX A6000 (48 GB)class v4 not measured · 2026-10-0853.60.224239.1 WStock
NVIDIA RTX A5000 (24 GB)class v4 not measured · 2026-10-0747.6not measurednot readStock
NVIDIA RTX A4000 (16 GB)class v4 not measured · 2026-10-0831.40.279112.8 WStock
Earlier classes (6 rows: the genesis program, the hourly program, class v3 before the shadow; not comparable with the table above)

The bench numbers of 3 and 4 October 2026. A higher MH/s here is a different hash, not a faster card.