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 157 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

23 units shown · sorted by score

#HardwareTierScoreData
1NVIDIA GeForce RTX 5050
nvidia · entry · 8GB
D291Estimated
2NVIDIA GeForce GTX 1080
nvidia · mid · 8GB
D286Estimated
3NVIDIA GeForce RTX 4060
nvidia · entry · 8GB
D279Estimated
4NVIDIA GeForce RTX 4060 Ti 8GB
nvidia · mid · 8GB
D278Estimated
5NVIDIA GeForce GTX 1070
nvidia · mid · 8GB
D270Estimated
6NVIDIA GeForce GTX 1070 Ti
nvidia · mid · 8GB
D268Estimated
7NVIDIA GeForce RTX 3050
nvidia · entry · 8GB
D263Estimated
8NVIDIA GeForce GTX 1660 Super
nvidia · mid · 6GB
D261Estimated
9ASUS ROG Strix Scar 18 (RTX 5090 Mobile)
nvidia · enthusiast · 24GB
D259Estimated
10Razer Blade 16 (2025, RTX 5090 Mobile)
nvidia · enthusiast · 24GB
D259Estimated
11NVIDIA GeForce RTX 2060
nvidia · mid · 6GB
D257Estimated
12NVIDIA GeForce GTX 1660 Ti
nvidia · mid · 6GB
D247Estimated
13Lenovo Legion 5 Pro Gen 7 (RTX 3080 16GB)
nvidia · high · 16GB
D238Estimated
14NVIDIA GeForce RTX 3050 Ti (Mobile)
nvidia · mobile · 4GB
D224Estimated
15NVIDIA GeForce GTX 1650 Super
nvidia · entry · 4GB
D221Estimated
16NVIDIA GeForce GTX 1660
nvidia · mid · 6GB
D218Estimated
17NVIDIA GeForce GTX 1060 3GB
nvidia · entry · 3GB
D218Estimated
18NVIDIA GeForce GTX 1060 6GB
nvidia · entry · 6GB
D218Estimated
19ASUS Ascent GX10 (NVIDIA GB10)
nvidia · workstation
D217Estimated
20NVIDIA DGX Spark (Project Digits)
nvidia · workstation
D216Estimated
21NVIDIA GeForce GTX 1650
nvidia · entry · 4GB
D204Estimated
22NVIDIA GeForce GTX 1050 Ti
nvidia · entry · 4GB
D198Estimated
23NVIDIA RTX Spark
nvidia · workstation
D161Estimated
BLK · BUY · AMAZON
Shop GPUs & AI hardware on Amazon:GPU categoryRTX 4090RTX 5090Apple M-seriesAI mini-PCs

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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.