[Perf] Linux/arm64: 1 Regression on 7/19/2026 5:54:44 PM +00:00

### Run Information

Name | Value
-- | --
Architecture | arm64
OS | azurelinux 3.0
Queue | CobaltAzureLinux
Baseline | [2515f972d25ec6ab5868f696273bd02a6275e273](https://github.com/dotnet/runtime/commit/2515f972d25ec6ab5868f696273bd02a6275e273)
Compare | [f43516f45fff5920eabd11753bd5f1803cfacd0c](https://github.com/dotnet/runtime/commit/f43516f45fff5920eabd11753bd5f1803cfacd0c)
Diff | [Diff](https://github.com/dotnet/runtime/compare/2515f972d25ec6ab5868f696273bd02a6275e273...f43516f45fff5920eabd11753bd5f1803cfacd0c)
Configs | CompilationMode:tiered, RunKind:sve

### Regressions in SveBenchmarks.Clamp

Benchmark | Baseline | Test | Test/Base | Test Quality | Edge Detector | Baseline IR | Compare IR | IR Ratio
-- | -- | -- | -- | -- | -- | -- | -- | --
|

• [Scalar - Duration of single invocation]()
• 📝 - [Benchmark Source]()
• [ADX - Test Multi Config Graph]()

![graph]()
[Test Report]()

### Repro
General Docs link: https://github.com/dotnet/performance/blob/main/docs/benchmarking-workflow-dotnet-runtime.md

```cmd
git clone https://github.com/dotnet/performance.git
py .\performance\scripts\benchmarks_ci.py -f net8.0 --filter 'SveBenchmarks.Clamp*'
```

### SveBenchmarks.Clamp.Scalar(Size: 10015)

#### ETL Files

#### Histogram

#### JIT Disasms

### Docs

[Profiling workflow for dotnet/runtime repository](https://github.com/dotnet/performance/blob/master/docs/profiling-workflow-dotnet-runtime.md)
[Benchmarking workflow for dotnet/runtime repository](https://github.com/dotnet/performance/blob/master/docs/benchmarking-workflow-dotnet-runtime.md)

Start with src/benchmarks/micro/sve/Clamp.cs at lines 45-55 and reproduce SveBenchmarks.Clamp with the provided benchmarks_ci.py command. Compare the baseline and test commits, then inspect the linked test report and available IR or disassembly details to isolate the ARM64 SVE regression. Done means identifying and addressing the cause so the benchmark no longer shows the reported slowdown.

Written by the indexing model from the issue text.