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 <noreply@anthropic.com>
This commit is contained in:
igneum-labs
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c8ac6a312e
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2 changed files with 93 additions and 5 deletions
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@ -1109,6 +1109,94 @@
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"pl_w": null,
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"label": "stock (rented card, no clock control on the host; no measured tune point)"
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}
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},
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{
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"generator": "v2",
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"miner": "bench pack, igneum-worker-cuda, class v4 program (3 x 300 dispatches of 2^22)",
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"date": "2026-10-08",
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"by": "measured by the fleet",
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"v4_cost": "not measured (class v4 program only)",
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"tuned": "stock, bench only (rented, no clock control on the host)",
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"card": "NVIDIA RTX A6000 (48 GB)",
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"group": "datacentre",
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"mh_s": 53.64,
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"watts": 239.1,
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"mh_per_w": 0.224,
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"driver_os": "NVIDIA driver 595.84, Ubuntu 24.04 (CUDA 12.8.1 image)",
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"source": "model sweep 2026-10-08, row 16 (a rented card, result cb2-rtx-a6000-48-gb-9600-result.json; 09:46Z)",
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"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",
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"hive": {
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"core_mhz": null,
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"mem_mhz": null,
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"pl_w": null,
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"label": "stock (rented card, no clock control on the host; no measured tune point)"
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}
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},
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{
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"generator": "v2",
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"miner": "bench pack, igneum-worker-cuda, class v4 program (3 x 300 dispatches of 2^22)",
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"date": "2026-10-08",
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"by": "measured by the fleet",
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"v4_cost": "not measured (class v4 program only)",
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"tuned": "stock, bench only (rented; Pascal has no clock lock on any host)",
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"card": "NVIDIA GTX 1080 Ti (11 GB)",
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"group": "buy",
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"mh_s": 16.26,
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"watts": 124.3,
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"mh_per_w": 0.131,
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"driver_os": "NVIDIA driver 580.173.02, Ubuntu 24.04 (CUDA 12.8.1 image)",
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"source": "model sweep 2026-10-08, row 17 (a rented card, result cb2-gtx-1080-ti-11-gb-0377-result.json; 09:49Z)",
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"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",
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"hive": {
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"core_mhz": null,
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"mem_mhz": null,
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"pl_w": null,
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"label": "stock (rented card; Pascal has no clock lock; no measured tune point)"
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}
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},
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{
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"generator": "v2",
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"miner": "bench pack, igneum-worker-cuda, class v4 program (3 x 300 dispatches of 2^22)",
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"date": "2026-10-08",
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"by": "measured by the fleet",
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"v4_cost": "not measured (class v4 program only)",
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"tuned": "stock, bench only (rented, no clock control on the host)",
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"card": "NVIDIA RTX 4060 (8 GB)",
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"group": "buy",
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"mh_s": 19.09,
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"watts": null,
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"mh_per_w": null,
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"driver_os": "NVIDIA driver 595.91.07, Ubuntu 24.04 (CUDA 12.8.1 image)",
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"source": "model sweep 2026-10-08, row 18 (a rented card, result cb2-rtx-4060-8-gb-0672-result.json; 09:53Z)",
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"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)",
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"hive": {
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"core_mhz": null,
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"mem_mhz": null,
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"pl_w": null,
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"label": "stock (rented card, no clock control on the host; no measured tune point)"
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}
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},
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{
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"generator": "v2",
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"miner": "bench pack, igneum-worker-cuda, class v4 program (3 x 300 dispatches of 2^22)",
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"date": "2026-10-08",
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"by": "measured by the fleet",
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"v4_cost": "not measured (class v4 program only)",
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"tuned": "stock, bench only (rented, no clock control on the host)",
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"card": "NVIDIA RTX 2060 (6 GB)",
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"group": "buy",
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"mh_s": 14.13,
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"watts": 120.6,
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"mh_per_w": 0.117,
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"driver_os": "NVIDIA driver 580.159.03, Ubuntu 24.04 (CUDA 12.8.1 image)",
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"source": "model sweep 2026-10-08, row 19 (a rented card, result cb2-rtx-2060-0673-result.json; 09:55Z)",
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"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",
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"hive": {
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"core_mhz": null,
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"mem_mhz": null,
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"pl_w": null,
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"label": "stock (rented card, no clock control on the host; no measured tune point)"
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}
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}
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]
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}
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