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14.4 kB
| { | |
| "schemaVersion": 1, | |
| "editionId": "m1-pro-engine-2026-09-30", | |
| "title": "M1 Pro engine microbenchmarks — 30 September 2026", | |
| "measurementKind": "historical_synthetic_engine_microbenchmark", | |
| "measurementDate": "2026-09-30", | |
| "provenanceVerifiedAt": "2026-10-30T20:53:40.293080+00:00", | |
| "scope": "Three Q4_K_M GGUF models measured with llama-bench on one Apple M1 Pro machine.", | |
| "customerTelemetry": false, | |
| "lociAppBenchmark": false, | |
| "machine": { | |
| "chip": "Apple M1 Pro", | |
| "cpuCores": 10, | |
| "gpuCores": 16, | |
| "unifiedMemoryGiB": 32, | |
| "osVersion": null, | |
| "productIdentifier": null, | |
| "powerMode": null, | |
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| "configurationSource": "Retained environment receipt; CPU and GPU identities also appear in each benchmark result." | |
| }, | |
| "runtime": { | |
| "name": "llama.cpp", | |
| "executable": "llama-bench", | |
| "commit": "7fe450e19305b828c199d602c23a8337aaa1f03b", | |
| "commitUrl": "https://github.com/ggml-org/llama.cpp/commit/7fe450e19305b828c199d602c23a8337aaa1f03b", | |
| "benchmarkSourceUrl": "https://github.com/ggml-org/llama.cpp/blob/7fe450e19305b828c199d602c23a8337aaa1f03b/tools/llama-bench/llama-bench.cpp", | |
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| "timing": "Per-repetition wall-clock nanoseconds around synthetic llama_decode work and backend synchronization; model loading is outside this interval.", | |
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| "limitations": [ | |
| "These are historical llama.cpp engine microbenchmarks on one recorded hardware configuration. They do not measure Loci app performance or customer usage.", | |
| "The host was under substantial concurrent load: the recorded one-minute load averages before the three commands were approximately 31 to 33 on a 10-core CPU. Background work, thermal state and power mode were not controlled in the retained evidence.", | |
| "Each test has three sequential repetitions from one session on 30 September 2026. Variation across those repetitions does not describe variation across machines, people or future runs.", | |
| "The benchmark feeds synthetic token IDs. The generation test performs 128 single-token decode steps without a preceding prompt; it is not a 128-token natural-language answer or a quality test.", | |
| "Requested context was 512 tokens for prompt processing and 128 tokens for generation. Actual allocated context, OS version, exact Mac product identifier and peak process memory were not retained.", | |
| "The timings exclude model loading and include no app interface, time-to-first-token, tools, retrieval or conversation history. No phone or tablet was measured.", | |
| "Original timing and checksum receipts are retained. The original executable and model cache are no longer available for a fresh local hash check. The runtime commit and immutable model artifact hashes and sizes were independently checked against the upstream sources on 30 October 2026.", | |
| "No memory-fit threshold, Loci compatibility claim, device-wide speed estimate or cross-model quality conclusion follows from these measurements." | |
| ], | |
| "reuse": { | |
| "license": null, | |
| "statement": "No dataset reuse license is specified. Model licenses apply separately to the model artifacts." | |
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