OWL ← HomeOWL FindingsBeta · under development
Curated, citable measurements from the Greening of Streaming bench. Each finding links to its source measurement at live-run fidelity, with scope, methodology, and a copy-paste citation.
🟢Input-master bitrate has no measurable effect on H.265 re-encode energy (CPU 1.7 %, GPU 4.9 % spread); input-codec has a small effect carried by the AV1-as-source case (CPU 3.4 %, GPU 10.3 % spread)v1 · 2026-05-26
Re-encode `h265_both` on 2-min 1080p siblings · bitrate axis (1.3 → 14.6 Mbps): flat · codec-of-origin axis (H.264 5.1 / H.265 3.4 / AV1 2.3 Mbps): AV1 source raises GPU energy by ~10 %
🟢On Meridian-120s at the ABR ladder, GPU encodes are 2.0× to 4.4× more energy-efficient than CPU encodes; H.265 GPU produces the lowest-energy file, AV1 GPU the fastestv1 · 2026-05-22
Per-codec ABR · H.264 4 Mbps · H.265 2 Mbps · AV1 1.5 Mbps — most efficient: H.265 GPU (0.30 Wh, 28.4 MB, VMAF 92.0) · fastest: AV1 GPU (15.1 s, 0.32 Wh, VMAF 90.8)
🟢AV1 hardware uses ~55% less energy than software at 1500 kbps, but loses ~2 VMAF points and produces ~40% larger filesv1 · 2026-05-22
1500 kbps ABR — SVT-AV1: 0.71 Wh · VMAF 92.74 · 14.5 MB · 34 s av1_vaapi: 0.32 Wh · VMAF 90.79 · 20.3 MB · 15 s
🟡Cold LLM inference on the GoS1 bench: TinyLlama (1.1B) at ~0.07 mWh/token, Mistral 7B at ~0.96 mWh/token — both on the pre-S30 ladderv1 · 2026-05-08 (first 2026-04-24)
T3 cold inference · TinyLlama 0.0718 mWh/token 🟡 · Mistral 7B 0.9639 mWh/token 🟢 · ratio ≈ 13× per token
🟡RAG retrieval surfaced the correct GoS REM papers across three models; the smallest model (TinyLlama 1.1B) then generated a hallucinated answer combining the correct retrieval with an adjacent JRC chunkv1 · 2026-04-29
Same top-k=3 retrieval, three models — TinyLlama 1.1B hallucinated 'European Commission framework'; Gemma 3 12B and Phi-4 14B stayed faithful to the GoS source
🟢SD-Turbo CPU image generation on the GoS1 bench: 0.21 Wh per image at 8 inference steps, 512×512v1 · 2026-04-29
SD-Turbo on Ryzen 9 7900 CPU · 8 steps · 512×512 · 0.21 Wh / image · ΔW ≈ 30 W during the run