| # Benchmark Results |
|
|
| The release package includes two JSON outputs: |
|
|
| - `benchmark_results_v4_full.json` |
| - `benchmark_results_v4_quick.json` |
|
|
| The full local release run used deterministic generated corpora and compared: |
|
|
| - HVCE v4 fast |
| - HVCE v4 balanced |
| - HVCE v4 balanced + 10% recovery |
| - ZIP/Deflate level 9 |
| - TAR+gzip level 9 |
| - TAR+xz level 9 |
| - TAR+zstd level 19 when the `zstd` CLI is installed |
|
|
| ## Full run snapshot |
|
|
| ```text |
| small_office raw=212,158 bytes |
| TAR-xz9 10,596 ratio=0.049944 |
| TAR-zstd19 11,795 ratio=0.055595 |
| HVCE-v4-fast 11,961 ratio=0.056378 |
| HVCE-v4-balanced 11,969 ratio=0.056416 |
| HVCE-v4-balanced+recovery10 20,722 ratio=0.097672 |
| TAR-gzip9 23,529 ratio=0.110903 |
| ZIP-deflate9 155,545 ratio=0.733156 |
| ``` |
|
|
| HVCE does not beat xz on this particular tiny synthetic office corpus, but it is in the same range as zstd and massively beats ordinary ZIP/Deflate. The key v4 improvement is closing the earlier small-folder gap relative to ZIP-style archivers. |
|
|
| ```text |
| photonic_generators raw=531,072 bytes |
| HVCE-v4-balanced 132,243 ratio=0.249011 |
| TAR-xz9 141,544 ratio=0.266525 |
| HVCE-v4-balanced+recovery10 146,799 ratio=0.276420 |
| TAR-zstd19 235,182 ratio=0.442844 |
| ZIP-deflate9 362,163 ratio=0.681947 |
| TAR-gzip9 363,154 ratio=0.683813 |
| ``` |
|
|
| This is the intended nanophotonic/generative win: separable fields and polynomial streams are represented by compact exact recipes rather than generic byte statistics. |
|
|
| ```text |
| versioned_media raw=4,194,304 bytes |
| TAR-zstd19 1,049,535 ratio=0.250229 |
| HVCE-v4-fast 1,049,957 ratio=0.250329 |
| HVCE-v4-balanced 1,049,961 ratio=0.250330 |
| TAR-xz9 1,050,784 ratio=0.250526 |
| ZIP-deflate9 4,196,038 ratio=1.000413 |
| ``` |
|
|
| The versioned-media result shows the near-duplicate archive-state branch. Locally high-entropy streams become compressible when multiple versions are archived together. |
|
|
| ```text |
| already_compressed raw=918,000 bytes |
| TAR-zstd19 918,865 ratio=1.000942 |
| ZIP-deflate9 918,948 ratio=1.001033 |
| HVCE-v4-fast 919,110 ratio=1.001209 |
| HVCE-v4-balanced 919,113 ratio=1.001212 |
| TAR-gzip9 920,056 ratio=1.002240 |
| TAR-xz9 924,224 ratio=1.006780 |
| ``` |
|
|
| The correct result is near-raw size. HVCE does not waste extreme CPU trying to compress entropy-saturated containers. |
|
|
| ```text |
| random_control raw=1,572,864 bytes |
| TAR-zstd19 1,573,526 ratio=1.000421 |
| HVCE-v4-fast 1,573,609 ratio=1.000474 |
| HVCE-v4-balanced 1,573,613 ratio=1.000476 |
| ZIP-deflate9 1,573,666 ratio=1.000510 |
| TAR-gzip9 1,574,225 ratio=1.000865 |
| TAR-xz9 1,576,664 ratio=1.002416 |
| ``` |
|
|
| Random data cannot be universally compressed losslessly. HVCE stays near raw size and beats ZIP/gzip/xz by small header-level margins in this run, while zstd remains slightly smaller. |
|
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| ## Reproduce |
|
|
| ```bash |
| python benchmark_hvce.py --out-dir benchmarks/local_run |
| ``` |
|
|
| ## Honest conclusion |
|
|
| HVCE v4 has strong, reproducible wins over ZIP/Deflate and meaningful structured-data wins over xz/zstd on generated corpora that match its exact recipes. It is not yet faster than native C compressors. Speed dominance requires the planned Rust/C kernel. |
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|
