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v2.9.9.0

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@DeroXP DeroXP released this 07 May 01:19
· 41 commits to main since this release
d4bfea2

GhostShell v2.9.9.0

Big update: a brand-new Benchmark Tune auto-OC mode, faster startup, wider OC slider range, and a UI compaction pass.

✨ Two auto-OC modes

The Auto Overclock card now has two buttons:

Quick Tune (renamed, redesigned)

The familiar binary-search algorithm but with significantly tightened durations — same convergence guarantees, ~40 % faster overall:

Phase v2.9.8 v2.9.9.0
Jump steps 18 s 10 s
Refinement 25 s 15 s
Final validation 60 s 30 s
Total typical 5–8 min 3–5 min

Crashes surface within ~8 s under heavy WebGL stress; the longer windows mostly burned time without finding new instability.

Benchmark Tune (NEW — what you asked for)

Quick Tune asks "how high can the GPU go before crashing?"
Benchmark Tune asks "which offset gives the best actual performance?"
These are different questions — pushing further isn't always faster (thermal throttle, voltage drops, driver-side caps).

How it works:

  1. Maxes the power limit first so TDP throttling doesn't skew measurements.
  2. Walks the CORE offset ladder [0, 50, 100, 150, 200, 250, 300] MHz.
    For each step:
    • Apply offset → 23 s WebGL benchmark
    • Record avg_fps, 1%-low fps, frametime σ, max_temp
    • Compute a score using the same formula as the reference stress-test.py:
      score = avg_fps × 100
            + min_fps × 40           ← 1% lows weighted heavily
            − frametime_std × 20     ← variance penalised
            − thermal penalty
      
    • Crash → STOP this axis (anything higher will also crash)
  3. Picks the highest-scoring stable core offset as the winner.
  4. Repeats the same process for MEMORY with ladder [0, 250, 500, 750, 1000, 1250, 1500] MHz, applied on top of the core winner.
  5. Final 30 s validation pass with both winners.
  6. Saves the winning combo to your OC profile and applies it.

At the end, the UI shows a ranked table of every step tried, with the winner highlighted:

CORE LADDER RESULTS
Offset      Score    Avg FPS  1% Low   FT σ ms   Temp     Stable
core+0      14820.3  118.4    87.1     0.42      67°C     ✓
core+50     15412.1  121.7    91.2     0.39      68°C     ✓
core+100    16104.5  127.3    96.5     0.36      71°C     ✓
core+150    16221.0  129.1    97.8     0.41      74°C     ✓   ← winner
core+200    15890.2  130.4    92.1     0.68      78°C     ✓
core+250    0        0        0        0         62°C     ✗ tdr

Total runtime: 5–7 minutes. Use it when you actually want the most-FPS-not-just-most-stable result.

📊 Other improvements

Wider OC slider ranges

  • Core: was 0–400 MHz, now 0–600 MHz
  • Memory: was 0–2000 MHz, now 0–3000 MHz

The old limits were conservative for older Pascal/Turing parts. Modern Ada/Blackwell + GDDR7 regularly take +500 MHz core and +2500 MHz mem.

Faster startup

  • time.sleep(0.5) after Flask thread → replaced with a port-poll loop that exits as soon as Flask actually accepts a connection. Saves ~400 ms.
  • First-paint API calls split: dashboard loads immediately; secondary widgets (notifier status, boot-prep poll) defer to the next animation frame so the UI feels snappier.

UI compaction

  • Card padding tightened from 16 px → 12 px (vertical) and margin from 12 px → 10 px. Free ~30 px reduction on every tab without changing layouts.
  • Profiles tab: "Active Game" merged into the Detection Engine card; the long "What Happens When a Game is Detected" explainer is now collapsed inside a <details> block (click to expand). Saves ~200 px by default.
  • GPU tab: four narrow vendor cards collapsed into two wider ones. NVIDIA + Clean-Install in one card; AMD + driver tips in the other.

📦 Asset

File Description
GhostShell.exe Standalone Windows 10 / 11 build (~22.8 MB). Runs as administrator.

🔄 Upgrading

Auto-updater on v2.9.0+ will pick this up. Hit ⟳ to check immediately.

After install, head to GPU → Auto Overclock. The new Benchmark Tune button is right next to Quick Tune.