Help us benchmark hardware we don't own
I'm Fredoline. I run MyAIHardware solo from Lagos and Istanbul, and the bench is 110 records on hardware I could borrow, rent, or afford. The big gaps (M3 Ultra, MI300X, multi-3090, Jetson Thor) are hardware I cannot touch.
If you own one of those rigs and you already run llama-bench for fun, this is a paying side-gig. Named byline, your photo on the page, 60/40 revshare on affiliate revenue from every product page your data lights up. No NDA, no vendor approval, no upside cap. You also keep your numbers, the dataset is CC-BY-4.0, you can republish.
The deal, in three lines
No NDA. No vendor approval. No upside cap. You own your data, I run the site.
60/40 revshare on affiliate revenue
You get 60% of net affiliate commission from every product page your data activates, for as long as the page is live. Paid monthly via Wise or USDC. Receipts shared, Amazon associates dashboard screenshots monthly.
Named byline + declared rig + your socials
Your name, photo, exact hardware spec, and links (GitHub, X, LinkedIn, personal site) live on every page your data appears on. No ghostwriting. Your reputation, your credit.
You own the data you submit
Dataset is CC-BY-4.0. You can republish your numbers anywhere, post them on r/LocalLLaMA, put them on your blog, sell them to anyone. I just need attribution back to MyAI Bench.
Who I'm looking for
Five hardware profiles with the biggest gaps in the current bench. If your rig is here, we should talk.
Apple M3 Ultra / M4 Max owners
192 GB unified memory rigs can fit Llama 3 70B Q4 in RAM with headroom. Right now my Bench has 12 Apple Silicon records, zero of them M3 Ultra. If you own one, the bench gap is yours to fill.
Workloads: MLX llama.cpp tokens/sec at FP16 + Q4_K_M, prompt prefill 2K + 8K + 32K, batch=1 and batch=8.
AMD MI300X / MI325X operators
192 GB HBM3 per accelerator, ROCm 6.2 maturity story is half-told online. Bench has 4 MI300X records, all single-card. Multi-card MI300X numbers (2x, 4x, 8x) are the gap.
Workloads: vLLM tokens/sec on Llama 3 70B + Qwen 2.5 72B + DeepSeek V3, tensor-parallel scaling curves.
Multi-3090 / multi-4090 homelabbers
2x 3090 NVLink, 4x 3090 PCIe, 2x 4090 split-GPU configs. The community lives on Reddit r/LocalLLaMA but the numbers are scattered across hundreds of threads. I want yours, centralized, citable.
Workloads: llama.cpp + exllamav2 + vLLM, Llama 3 70B Q4 + Q5 + Q8, tensor split vs row split comparison.
NVIDIA Jetson Thor / Orin developers
Edge inference numbers are the hardest to find. Jetson Thor (128 GB unified) shipped Q1 2026 and there is no honest tokens/sec leaderboard for it yet. Be first.
Workloads: Llama 3 8B + Phi-4 + Qwen 2.5 7B at TensorRT-LLM and llama.cpp, power-draw measured at the wall.
Snapdragon X2 Elite + Lunar Lake NPU testers
On-device NPU benchmarks are dominated by vendor marketing. Real numbers for Snapdragon X2 Elite (released Feb 2026) and Intel Core Ultra Series 2 are still scarce. If you have one of these laptops, ship the numbers.
Workloads: Phi-4 + Llama 3.2 3B + Qwen 2.5 3B on QNN HTP / OpenVINO NPU paths, with thermal-throttle profile.
What every submission needs
Four artifacts, no more. If you've benchmarked your rig before, you probably have three of them already.
llama-bench output for 3+ models
Raw llama-bench (or vLLM benchmark_throughput, or exllamav2 test_inference) output for at least 3 models. Llama 3 70B Q4 is required, the other two are your choice (Qwen 2.5, DeepSeek V3, Mistral Large, Phi-4 all work). Median of 5 runs, same seeds.
Hardware spec sheet
GPU model + VRAM + driver version + CUDA/ROCm version, CPU model, system RAM, PSU wattage, motherboard PCIe topology (4.0 x16 vs 5.0 x8 matters), and OS. The methodology page has a template you can copy.
Electricity cost localization
Power-draw at the wall (Kill-A-Watt or equivalent) plus your kWh price in your local currency. This is what makes Cost-of-Inference numbers actually useful. Lagos $0.04/kWh hits different from Frankfurt $0.42/kWh.
Photo of the rig
One clean photo of the actual hardware. Doesn't have to be studio-quality. Phone camera is fine. The point is to prove the rig exists, build reader trust, and let people connect a name to a setup.
How a submission becomes a paying page
- 1
Submit
Open a PR against myai-bench with your llama-bench output, hardware spec, photo, and proposed byline. Or email the four artifacts to [email protected] and I'll open the PR for you.
- 2
Review (14 days, capped)
I read the submission, verify the numbers reproduce against the methodology (same prompts, same seeds, median of 5), and reply with either "merge as-is" or a short list of clarifications. If the 14 days lapse with no reply from me, you can call it out publicly. Hard deadline.
- 3
Publish with your byline
Your data lands on the hardware page, the workload leaderboard, and any model page where your rig is the new top score. Byline panel goes live: photo, declared rig, social links, optional bio.
- 4
Monthly revenue tracking
Every page tagged with your data gets a UTM-attributed affiliate link. I send you a monthly statement: pageviews, clickthroughs, commission earned, your 60% share. Paid by the 7th of the following month.
The quality bar (read this before you submit)
Three rules I will not flex on. They are why anyone trusts the bench.
- Non-negotiable
Reproducibility-first
If I can't reproduce your number using the methodology, it doesn't ship. That means same prompts, same seeds, same quantization file (linked by SHA-256), and the cited sourceUrl points at something a stranger can verify.
- Non-negotiable
No NDA-gated numbers
If your hardware is under an NDA, this isn't the venue. The bench is CC-BY-4.0 and citable. Pre-release silicon under embargo, vendor-locked driver benchmarks, anything you'd need to delete on request, all out of scope.
- Non-negotiable
No vendor-paid promotion
I don't take vendor money for placement, ever. If a vendor paid for your rig, that's fine, disclose it in your byline. If a vendor is paying you to publish a number, that's a hard no. The bench loses its value the second it stops being honest.
Ready? Two ways in.
If you have a PR-ready submission, ship it. If you want to scope-check first ("does my 4x 4090 PCIe rig count?"), email me. I reply within 48 hours, Lagos / Istanbul time zones. No form-letter responses.