AI PC Claim Evaluation Protocol

AI PC Claim Evaluation Protocol

Claim decomposition

An AI PC claim should name the task, application, model, runtime, precision, accelerator, device, memory, storage, operating-system build, software version, power mode, network state, input, output, quality threshold, latency measure, energy or battery measure, comparison device, price date, and test owner.

Without those fields, "faster AI" is not an actionable buying claim.

Compute-path verification

Confirm whether the task runs on the NPU, GPU, CPU, cloud, or a mixture. Product branding and an NPU specification do not prove the execution path.

Record fallback behavior, download requirements, model size, quantization, memory pressure, and whether a feature remains available offline.

TOPS boundary

TOPS describes peak operation throughput under a stated numeric format. It does not directly measure application quality, end-to-end latency, tokens per second, memory bandwidth, battery life, or supported software.

Compare TOPS only when the operation type and measurement basis are comparable. Prefer task-level results.

Benchmark evidence

Microsoft's claims disclosure record shows why a vendor claim must preserve workload, device set, settings, date, and test conditions.

MLCommons' MLPerf Client provides selected local LLM tasks, models, acceleration paths, repeated runs, and quality thresholds. It remains one benchmark suite and does not replace the buyer's actual workload.

Device decision

Test a representative case on the exact devices under comparable power, display, thermal, network, and software conditions. Include a non-AI baseline and the current computer.

Measure accepted output, first-token latency, throughput where relevant, total task time, review and correction, energy or battery under the actual workflow, heat, noise, compatibility, accessibility, security, data path, serviceability, support, total cost, and failure recovery.

The result should be buy the exact configuration, wait for a named condition, continue with the current device, or reject the claim for the tested workload.