This page presents two separate evidence classes: generic H100 hardware characterization and Lu(x)iEdge numeric-engine validation. The hardware tests establish the machine's measured capabilities; the Lu(x)iEdge tests establish results for defined Lu(x)iEdge workloads. They are not interchangeable.
These OpenBenchmarking results characterize the H100 test system. They are not measurements of Lu(x)iEdge application throughput, Lu(x)iEdge energy efficiency, or Lu(x)iEdge numerical determinism.
| Hardware Test | Result (source units) | Notes |
|---|---|---|
| Double Precision (FP64) throughput | 85,819 GFLOPS (≈85.8 TFLOPS) | Generic hardware benchmark of the H100 80GB HBM3 test host (December 2025 characterization runs) |
| Hashcat SHA-256 hashing | 15.13 Billion H/s | Generic GPU hash benchmark of the test host - not a Lu(x)iEdge verification feature |
These are hardware results, not Lu(x)iEdge application benchmarks. Hardware: NVIDIA H100 80GB HBM3 (single board) in the December 2025 test host; run with the Phoronix Test Suite / OpenBenchmarking tooling. Public OpenBenchmarking result links for these characterization runs are being consolidated and will be added here; until then, treat these values as project-recorded hardware characterization only.
TestFort QA Lab independently evaluated a defined non-linear numerical workload, repeated hash consistency, CPU/GPU output agreement in the tested H100 environment, API load behavior, and sustained GPU execution. That evaluation did not certify every function, every platform, every backend, or every possible expression. Read the report.
| Measured Result | Value | Scope |
|---|---|---|
| Aggregate throughput | 286.94 Billion Ops/s | Defined non-linear function suite, H100 test environment |
| Power efficiency | 2.35 Billion Ops/J | Defined test, sustained load |
| Total operations | 444.4 Trillion | Reported for the specified one-hour API load test, under TestFort's accounting method |
| Request errors | 0.00% | No failed requests during the specified load test - not a universal mathematical-accuracy claim |
| Repeated hash consistency | Identical hashes ×5 runs | CPU and GPU outputs agreed in the tested environment, for the tested workload |
Current full-model Qwen2-7B faithful CUDA correctness evidence and the separate TRADE H100 energy research are documented on the Proof page. Those are distinct evidence classes from the numeric-engine and hardware results shown here.