From ea9b9336624d010c4357dfbcccd8b32715500305 Mon Sep 17 00:00:00 2001 From: igneum-labs <337424239+igneum-labs@users.noreply.github.com> Date: Wed, 7 Oct 2026 21:41:03 +0000 Subject: [PATCH] Site: the bench table's desktop row is six columns (the class v4 cost and the date move under the card name as the muted second line), the card layout below 1100 px, the wrapper scrolls as a safety (the overlap gate read the eight-column row clipped at every desktop width) Co-Authored-By: Claude Fable 5.1 --- site/build.mjs | 21 ++++++++++----------- site/miners.html | 20 ++++++++++---------- 2 files changed, 20 insertions(+), 21 deletions(-) diff --git a/site/build.mjs b/site/build.mjs index afb541942..aecc97142 100644 --- a/site/build.mjs +++ b/site/build.mjs @@ -448,18 +448,17 @@ for (const [file, active] of PAGES) { if (r.note) parts.push('Note ' + esc(r.note)); return parts.map(x => '' + x + '').join(''); }; - const heads = [['Card', 'card', 'text'], ['MH/s', 'mh_s', 'num'], ['MH per wall watt', 'mh_per_w', 'num'], ['Watts', 'watts', 'num'], ['Class v4 cost', 'v4', 'text'], ['Tuned', 'tuned', 'text'], ['Date', 'date', 'text'], ['', 'more', 'none']]; + const heads = [['Card', 'card', 'text'], ['MH/s', 'mh_s', 'num'], ['MH per wall watt', 'mh_per_w', 'num'], ['Watts', 'watts', 'num'], ['Tuned', 'tuned', 'text'], ['', 'more', 'none']]; const render = (list, id) => { const body = list.map((r, i) => { const [effHtml, effV] = effCell(r); const [tcls, tlabel] = tunedState(r); + const sub = 'class v4 ' + esc(shortV4(r)) + ' \u00B7 ' + esc(r.date) + ''; const cells = [ - ['lead', r.card, esc(r.card)], + ['lead', r.card, esc(r.card) + sub], ['big tnum', r.mh_s, esc(r.mh_s_display || fmt(r.mh_s))], ['tnum effc', effV, effHtml], ['quiet tnum', r.watts ?? -1, r.watts_display ? esc(r.watts_display) + ' W' : (r.watts == null ? 'not read' : esc(fmt(r.watts)) + ' W' + (r.watt_basis === 'chip' ? ' chip, not wall' : ''))], - ['quiet', shortV4(r), esc(shortV4(r))], ['pillc', tlabel, '' + tlabel + ''], - ['date', r.date, esc(r.date)], ['morec', '', ''], ]; return '' + cells.map(([c, v, h]) => `${h}`).join('') + '' + @@ -493,7 +492,7 @@ for (const [file, active] of PAGES) { .lede{font-size:18px;line-height:1.5;color:var(--bone);margin:0 0 var(--s-4)} .grp{font:500 10px/1.4 var(--mono);letter-spacing:.1em;text-transform:uppercase;color:var(--ash);margin:var(--s-5) 0 10px;padding-bottom:8px;border-bottom:1px solid var(--line)} details.grp summary{cursor:pointer;list-style:none}details.grp summary::-webkit-details-marker{display:none}details.grp summary::after{content:" \\u25BE";opacity:.6}details.grp[open] summary::after{content:" \\u25B4"} -.tbl.bench2wrap{overflow:visible;border:0;background:none;border-radius:0;max-width:100%} +.tbl.bench2wrap{overflow-x:auto;border:0;background:none;border-radius:0;max-width:100%} table.bench2{min-width:0;width:100%;border-collapse:collapse;font-size:14px;line-height:1.4} table.bench2 th{font:500 10px/1.4 var(--mono);letter-spacing:.08em;text-transform:uppercase;color:var(--ash);text-align:left;padding:0 12px 10px;border-bottom:1px solid var(--line);white-space:nowrap} table.bench2 th .sort{all:unset;cursor:pointer;font:inherit;color:inherit;letter-spacing:inherit;text-transform:inherit;padding-bottom:3px;border-bottom:2px solid transparent} @@ -502,28 +501,28 @@ table.bench2 th[aria-sort="descending"] .sort,table.bench2 th[aria-sort="ascendi table.bench2 th[aria-sort="descending"] .sort::after{content:" \\u2193";opacity:1;color:var(--ember)}table.bench2 th[aria-sort="ascending"] .sort::after{content:" \\u2191";opacity:1;color:var(--ember)} table.bench2 tr.row td{height:56px;padding:0 12px;border-bottom:1px solid var(--line);background:none;vertical-align:middle;white-space:nowrap;color:var(--ink-2)} table.bench2 tr.row:hover td{background:var(--hover)} -table.bench2 td.lead{white-space:normal;min-width:200px;color:var(--bone)} +table.bench2 td.lead{white-space:normal;min-width:220px;color:var(--bone);padding-top:8px;padding-bottom:8px} table.bench2 td.lead .cardname{display:inline-flex;align-items:center;gap:10px} +table.bench2 td.lead .gen{display:block;font:12px var(--mono);color:var(--ash);letter-spacing:.02em;margin-top:3px}table.bench2 td.lead .gen .dot{color:var(--line-2);margin:0 4px} table.bench2 td.big{font:600 22px/1 var(--f-display,var(--f-sans));color:var(--bone);font-variant-numeric:tabular-nums} table.bench2 td.tnum{font-variant-numeric:tabular-nums} table.bench2 .eff{font:500 15px/1 var(--f-sans);color:var(--ink-2)}table.bench2 .eff.best{color:var(--ember-text,var(--ember));font-weight:600} table.bench2 .hollow{color:var(--ash)} table.bench2 td.quiet{color:var(--ash);font-size:13px}table.bench2 .basis{font:10px var(--mono);letter-spacing:.06em;text-transform:uppercase;color:var(--ash);margin-left:6px} table.bench2 .pill.state{padding:5px 8px;font-size:9px}table.bench2 .pill.state.tuned{color:var(--ember-text,var(--ember));border-color:color-mix(in srgb,var(--ember) 35%,transparent);background:color-mix(in srgb,var(--ember) 8%,transparent)}table.bench2 .pill.state.stock{color:var(--ash)}table.bench2 .pill.state.nolever{color:var(--ash);border-style:dashed} -table.bench2 td.date{font:12px var(--mono);color:var(--ash);letter-spacing:.02em} table.bench2 button.more{all:unset;cursor:pointer;font:500 10px/1.4 var(--mono);letter-spacing:.08em;text-transform:uppercase;color:var(--ash);padding:6px 0;border-bottom:1px solid var(--line-2)}table.bench2 button.more:hover{color:var(--bone)} table.bench2 tr.detail td{padding:12px 12px 16px;border-bottom:1px solid var(--line);font-size:13px;line-height:1.55;color:var(--ash);white-space:normal;overflow-wrap:anywhere} table.bench2 tr.detail .d{display:block;margin:0 0 4px}table.bench2 tr.detail b{color:var(--ink-2);font-weight:600;margin-right:6px} -@media(max-width:720px){ +@media(max-width:1100px){ table.bench2,table.bench2 tbody,table.bench2 tr.detail,table.bench2 tr.detail td{display:block} table.bench2 thead{display:none} - table.bench2 tr.row{display:grid;grid-template-columns:minmax(0,1fr) minmax(0,1fr) auto;grid-template-areas:"lead lead big" "eff eff eff" "w v4 pill" "date date more";gap:4px 12px;padding:10px 0;min-height:44px;border-bottom:1px solid var(--line);align-items:center} + table.bench2 tr.row{display:grid;grid-template-columns:minmax(0,1fr) auto;grid-template-areas:"lead big" "eff eff" "w pill" "more more";gap:4px 12px;padding:10px 0;min-height:44px;border-bottom:1px solid var(--line);align-items:center} table.bench2 tr.row td{display:block;height:auto;padding:0;border:0;white-space:normal;min-width:0} table.bench2 td.lead{grid-area:lead}table.bench2 td.lead .cardname{display:flex;align-items:center;gap:8px}table.bench2 td.lead .cardname .badge{flex:none} table.bench2 td.big{grid-area:big;font-size:20px;text-align:right;white-space:nowrap} table.bench2 td.effc{grid-area:eff;font-size:13px}table.bench2 td.effc .eff::before,table.bench2 td.effc .hollow::before{content:"MH per wall watt ";color:var(--ash);font-weight:400} - table.bench2 td.quiet.tnum{grid-area:w}table.bench2 td.quiet:not(.tnum){grid-area:v4}table.bench2 td.pillc{grid-area:pill;text-align:right} - table.bench2 td.date{grid-area:date}table.bench2 td.morec{grid-area:more;text-align:right} + table.bench2 td.quiet.tnum{grid-area:w}table.bench2 td.pillc{grid-area:pill;text-align:right} + table.bench2 td.morec{grid-area:more;text-align:right} table.bench2 tr.detail td{padding:8px 0 14px} } `; diff --git a/site/miners.html b/site/miners.html index 0db813668..a23dd88fb 100644 --- a/site/miners.html +++ b/site/miners.html @@ -226,7 +226,7 @@ table{min-width:560px} .lede{font-size:18px;line-height:1.5;color:var(--bone);margin:0 0 var(--s-4)} .grp{font:500 10px/1.4 var(--mono);letter-spacing:.1em;text-transform:uppercase;color:var(--ash);margin:var(--s-5) 0 10px;padding-bottom:8px;border-bottom:1px solid var(--line)} details.grp summary{cursor:pointer;list-style:none}details.grp summary::-webkit-details-marker{display:none}details.grp summary::after{content:" \u25BE";opacity:.6}details.grp[open] summary::after{content:" \u25B4"} -.tbl.bench2wrap{overflow:visible;border:0;background:none;border-radius:0;max-width:100%} +.tbl.bench2wrap{overflow-x:auto;border:0;background:none;border-radius:0;max-width:100%} table.bench2{min-width:0;width:100%;border-collapse:collapse;font-size:14px;line-height:1.4} table.bench2 th{font:500 10px/1.4 var(--mono);letter-spacing:.08em;text-transform:uppercase;color:var(--ash);text-align:left;padding:0 12px 10px;border-bottom:1px solid var(--line);white-space:nowrap} table.bench2 th .sort{all:unset;cursor:pointer;font:inherit;color:inherit;letter-spacing:inherit;text-transform:inherit;padding-bottom:3px;border-bottom:2px solid transparent} @@ -235,28 +235,28 @@ table.bench2 th[aria-sort="descending"] .sort,table.bench2 th[aria-sort="ascendi table.bench2 th[aria-sort="descending"] .sort::after{content:" \u2193";opacity:1;color:var(--ember)}table.bench2 th[aria-sort="ascending"] .sort::after{content:" \u2191";opacity:1;color:var(--ember)} table.bench2 tr.row td{height:56px;padding:0 12px;border-bottom:1px solid var(--line);background:none;vertical-align:middle;white-space:nowrap;color:var(--ink-2)} table.bench2 tr.row:hover td{background:var(--hover)} -table.bench2 td.lead{white-space:normal;min-width:200px;color:var(--bone)} +table.bench2 td.lead{white-space:normal;min-width:220px;color:var(--bone);padding-top:8px;padding-bottom:8px} table.bench2 td.lead .cardname{display:inline-flex;align-items:center;gap:10px} +table.bench2 td.lead .gen{display:block;font:12px var(--mono);color:var(--ash);letter-spacing:.02em;margin-top:3px}table.bench2 td.lead .gen .dot{color:var(--line-2);margin:0 4px} table.bench2 td.big{font:600 22px/1 var(--f-display,var(--f-sans));color:var(--bone);font-variant-numeric:tabular-nums} table.bench2 td.tnum{font-variant-numeric:tabular-nums} table.bench2 .eff{font:500 15px/1 var(--f-sans);color:var(--ink-2)}table.bench2 .eff.best{color:var(--ember-text,var(--ember));font-weight:600} table.bench2 .hollow{color:var(--ash)} table.bench2 td.quiet{color:var(--ash);font-size:13px}table.bench2 .basis{font:10px var(--mono);letter-spacing:.06em;text-transform:uppercase;color:var(--ash);margin-left:6px} table.bench2 .pill.state{padding:5px 8px;font-size:9px}table.bench2 .pill.state.tuned{color:var(--ember-text,var(--ember));border-color:color-mix(in srgb,var(--ember) 35%,transparent);background:color-mix(in srgb,var(--ember) 8%,transparent)}table.bench2 .pill.state.stock{color:var(--ash)}table.bench2 .pill.state.nolever{color:var(--ash);border-style:dashed} -table.bench2 td.date{font:12px var(--mono);color:var(--ash);letter-spacing:.02em} table.bench2 button.more{all:unset;cursor:pointer;font:500 10px/1.4 var(--mono);letter-spacing:.08em;text-transform:uppercase;color:var(--ash);padding:6px 0;border-bottom:1px solid var(--line-2)}table.bench2 button.more:hover{color:var(--bone)} table.bench2 tr.detail td{padding:12px 12px 16px;border-bottom:1px solid var(--line);font-size:13px;line-height:1.55;color:var(--ash);white-space:normal;overflow-wrap:anywhere} table.bench2 tr.detail .d{display:block;margin:0 0 4px}table.bench2 tr.detail b{color:var(--ink-2);font-weight:600;margin-right:6px} -@media(max-width:720px){ +@media(max-width:1100px){ table.bench2,table.bench2 tbody,table.bench2 tr.detail,table.bench2 tr.detail td{display:block} table.bench2 thead{display:none} - table.bench2 tr.row{display:grid;grid-template-columns:minmax(0,1fr) minmax(0,1fr) auto;grid-template-areas:"lead lead big" "eff eff eff" "w v4 pill" "date date more";gap:4px 12px;padding:10px 0;min-height:44px;border-bottom:1px solid var(--line);align-items:center} + table.bench2 tr.row{display:grid;grid-template-columns:minmax(0,1fr) auto;grid-template-areas:"lead big" "eff eff" "w pill" "more more";gap:4px 12px;padding:10px 0;min-height:44px;border-bottom:1px solid var(--line);align-items:center} table.bench2 tr.row td{display:block;height:auto;padding:0;border:0;white-space:normal;min-width:0} table.bench2 td.lead{grid-area:lead}table.bench2 td.lead .cardname{display:flex;align-items:center;gap:8px}table.bench2 td.lead .cardname .badge{flex:none} table.bench2 td.big{grid-area:big;font-size:20px;text-align:right;white-space:nowrap} table.bench2 td.effc{grid-area:eff;font-size:13px}table.bench2 td.effc .eff::before,table.bench2 td.effc .hollow::before{content:"MH per wall watt ";color:var(--ash);font-weight:400} - table.bench2 td.quiet.tnum{grid-area:w}table.bench2 td.quiet:not(.tnum){grid-area:v4}table.bench2 td.pillc{grid-area:pill;text-align:right} - table.bench2 td.date{grid-area:date}table.bench2 td.morec{grid-area:more;text-align:right} + table.bench2 td.quiet.tnum{grid-area:w}table.bench2 td.pillc{grid-area:pill;text-align:right} + table.bench2 td.morec{grid-area:more;text-align:right} table.bench2 tr.detail td{padding:8px 0 14px} } @@ -265,14 +265,14 @@ 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, 0.563 MH per wall watt tuned (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)		136.1 stock (127.7 tuned)0.563226.8 tuned (350 stock) W133.8 MH/s, 305 W, 0.439Tuned2026-10-06
NVIDIA RTX 5070 Ti (16 GB)		78.40.539145.6 Wnot measuredStock2026-10-07
NVIDIA RTX 5080 (16 GB)		71.4 stock (71.2 tuned)0.486146.6 tuned (253 stock) W+83 W unlocked, +41 W at the best pointsTuned2026-10-08
NVIDIA RTX 3090 Ti (24 GB)		620.248249.5 Wnot measuredStock2026-10-07
NVIDIA RTX 3080 Ti (12 GB)		590.221267.3 Wnot measuredStock2026-10-07
NVIDIA RTX 4090 (24 GB)		52.30.285183.1 Wnot measuredStock2026-10-07
NVIDIA RTX 5070 (12 GB)		520.506102.8 Wnot measuredStock2026-10-07
NVIDIA RTX 3090 (24 GB)		50not measurednot readnot measuredStock2026-10-07
NVIDIA RTX 3080 (10 GB)		43.7not measurednot readnot measuredStock2026-10-07
NVIDIA RTX 3070 Ti (8 GB)		390.219178.3 Wnot measuredStock2026-10-07
NVIDIA RTX 3070 (8 GB)		33.7not measurednot readnot measuredStock2026-10-07
NVIDIA RTX 3060 Ti (8 GB)		33.10.256129.5 Wnot measuredStock2026-10-07
NVIDIA RTX 5060 (8 GB)		31.30.41575.4 Wnot measuredStock2026-10-07
NVIDIA RTX 4070 Ti (12 GB)		31.30.291107.3 Wnot measuredStock2026-10-07
NVIDIA RTX 4070 (12 GB)		310.38979.5 W+30 WTuned2026-10-06
NVIDIA RTX 5060 Ti (16 GB)		30.90.269114.8 W0.1 percent rateStock2026-10-07
Apple M5 Max (40 GPU cores, Metal)		27○ 1.2921 W chip, not wall+16 WNo lever2026-10-06
NVIDIA RTX 3060 (12 GB)		26.90.241111.6 Wnot measuredStock2026-10-07
NVIDIA RTX 4060 Ti (8 GB)		20.10.25977.5 Wnot measuredStock2026-10-07
AMD Radeon RX 9070 XT (16 GB)		18.9 (18.8 to 19.2 on the G1 ladder)0.093202 stock W+2 percent rateNo lever2026-10-08
Intel Arc B580 (12 GB)		11not measurednot read0.1 percent rateStock2026-10-07
+
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 · 2026-10-0778.40.539145.6 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 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 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 3070 Ti (8 GB)class v4 not measured · 2026-10-07390.219178.3 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 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 (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 4060 Ti (8 GB)class v4 not measured · 2026-10-0720.10.25977.5 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

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

Datacentre (8 cards, rented for the measurement; about three times the rented dollars per hash of a desktop card) -
NVIDIA B200 (180 GB)		416.40.487855.6 Wnot measuredStock2026-10-07
NVIDIA H200 SXM (141 GB)		3130.723432.9 Wnot measuredStock2026-10-07
NVIDIA H100 SXM (80 GB)		248.70.645385.6 Wnot measuredStock2026-10-07
NVIDIA A100 PCIe (80 GB)		1550.517299.6 Wnot measuredStock2026-10-07
NVIDIA A100 SXM (80 GB)		138.40.52266.3 Wnot measuredStock2026-10-07
NVIDIA RTX PRO 6000 Blackwell (96 GB)		130.50.452288.7 Wnot measuredStock2026-10-07
NVIDIA L40S (48 GB)		56.40.234240.7 Wnot measuredStock2026-10-07
NVIDIA RTX A5000 (24 GB)		47.6not measurednot readnot measuredStock2026-10-07
+
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 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 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
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.

-
NVIDIA RTX 5090 (32 GB)		229not measurednot readnot measuredStock2026-10-03
NVIDIA RTX 5090 (32 GB)		185.3not measurednot readnot measuredStock2026-10-03
NVIDIA RTX 5090 (32 GB)		124.2not measurednot readnot measuredStock2026-10-04
Apple M5 Max (40 GPU cores, Metal)		45.2not measurednot readnot measuredStock2026-10-03
Apple M5 Max (40 GPU cores, Metal)		26.7not measurednot readnot measuredStock2026-10-04
Apple silicon laptop (model not reported)		24.3not measurednot readnot measuredStock2026-10-04
+
NVIDIA RTX 5090 (32 GB)class v4 not measured · 2026-10-03229not measurednot readStock
NVIDIA RTX 5090 (32 GB)class v4 not measured · 2026-10-03185.3not measurednot readStock
NVIDIA RTX 5090 (32 GB)class v4 not measured · 2026-10-04124.2not measurednot readStock
Apple M5 Max (40 GPU cores, Metal)class v4 not measured · 2026-10-0345.2not measurednot readStock
Apple M5 Max (40 GPU cores, Metal)class v4 not measured · 2026-10-0426.7not measurednot readStock
Apple silicon laptop (model not reported)class v4 not measured · 2026-10-0424.3not measurednot readStock
Why the rates changed

The genesis program did 104 dependent random 4-byte loads per hash over a 1 GiB dataset; the hourly program and class v3 do 128, with the mixer between them; class v4 adds about 100,000 integer operations per hash that ride in the memory wait. So the hash is bound by random-read bandwidth by design, and a card's MH/s is a relative number: the difficulty follows it, and the same card earns the same share of blocks at 136 MH/s on class v3 as it did at 228 MH/s on the genesis program. What a miner compares is hash per watt, and what the chain cares about is the chip edge, which the shadow work is there to cut.