RUNLOCALAIv38
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RUNLOCALAI · v38
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  4. /Leaderboard
BLK · LEADERBOARD

> RunLocalAI Score

Every catalog hardware unit ranked by composite score (0–1000): measured tok/s, VRAM fit, ecosystem support, perf-per-watt. 2 of 154 ranks anchored to a measured benchmark — the rest are honestly flagged as extrapolated or estimated.

Methodology: /methodology · Run your own: curl -fsSL runlocalai.co/bench.mjs -o bench.mjs && node bench.mjs

Vendor:Allamdapplegoogleintelnvidiaqualcomm
VRAM:All≤8GB9–16GB17–24GB25–48GB49–96GB97GB+
Tier:AllSABCD
Data:AllMeasuredMeasured-nearCommunityExtrapolatedEstimated

11 units shown · sorted by score

#HardwareTierScoreThroughputVRAM-fitEcosystemEfficiencyData
1AMD Radeon RX 7900 XTX
amd · enthusiast · 24GB
C42027817013022Estimated
2AMD Radeon RX 7900 XT
amd · enthusiast · 20GB
C36523214013020Estimated
3AMD Radeon RX 9060 XT
amd · mid · 16GB
C33918614013028Estimated
4AMD Radeon RX 9070 XT
amd · high · 16GB
C33218714013017Estimated
5AMD Radeon RX 9070
amd · high · 16GB
C33218114013023Estimated
6AMD Radeon RX 7800 XT
amd · high · 16GB
C32918114013019Estimated
7AMD Radeon RX 7900 GRE
amd · high · 16GB
C31916714013018Estimated
8AMD Radeon RX 6950 XT
amd · enthusiast · 16GB
C31616714013014Estimated
9AMD Radeon RX 6800
amd · high · 16GB
C30414814013016Estimated
10AMD Radeon RX 6800 XT
amd · enthusiast · 16GB
C30214814013014Estimated
11AMD Radeon RX 6900 XT
amd · enthusiast · 16GB
C30214814013014Estimated
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HOW THE SCORE IS DERIVED
Throughput · 0–500

Steady-state tok/s on a representative 7B/8B Q4 model. Measured from real benchmark rows, or extrapolated from VRAM bandwidth × runtime-stack efficiency.

VRAM-fit · 0–200

How comfortably the rig holds 7B / 32B / 70B class models. Apple unified memory counts; NPU/SoC system RAM counts.

Ecosystem · 0–200

CUDA / MLX / ROCm / Vulkan reach. Real-world friction the operator hits when installing tools.

Efficiency · 0–100

Tok/s per watt. Mobile / NPU class scores well; dense desktop GPUs trade efficiency for absolute throughput.

A confidence multiplier (1.0 measured · 0.85 extrapolated · 0.7 estimated) discounts the headline so we don't pretend to know more than we do. Score is recomputed on every page load against the latest catalog + benchmark data — submit your own run with runlocalai-bench --submit --hardware your-rig to firm up the numbers.