Remove duplicate

int8/benchmarks/x5h_mwmx_npu_apm80_1core_2026-09-16.yaml

@@ -1,71 +0,0 @@
-# Re-run captured 2026-09-16 (gf_model_result.csv export) — see also the original file in this directory
-hardware:
-  vendor: renesas
-  chip: rcar-x5h
-  cpu: arm-cortex-a720
-  npu: npx6-48k
-  npu_count: 2
-  npu_cores: 12
-  npu_default_freq_mhz: 1066
-  accelerator:
-    - npu
-
-runtime:
-  engine: mwmx
-  toolchain_version: "MWMX SDK v4.35.0"
-  format: onnx
-  execution_provider: npu
-  execution_precision: int8
-
-configuration:
-  npu_instances: 1
-  npu_cores_per_instance: 1
-  npu_freq_mhz: 850
-
-benchmark:
-  type: hil
-  parameters:
-    batch_size: 1
-    input_resolution: [1, 3, 512, 512]   # inferred from "crop512" in the source checkpoint name
-
-performance:
-  fps: null
-  latency: 15.86             # synced to mwmx2.2 model_list.html (2026-09-22); was 11.989098 (APM80 pipeline run, metawaremx_runtime CI)
-
-metrics:
-  accuracy: null
-  top5_accuracy: null
-
-memory:
-  peak_mb: null
-
-power:
-  avg_w: null
-
-# Exact commands verified against the NNAC "Getting Started" chapter for this
-# model (it is that chapter's own worked example). Rendered by the AI-Dashboard
-# in place of the generic placeholder flow — see downloadRunHTML() / parse_reproduce().
-reproduce:
-  steps:
-    - title: Activate the Python environment
-      command: >-
-        Activate the Python virtual environment that has the `hf` CLI
-        (huggingface_hub) and the NNAC toolchain installed, e.g.
-        `source nnac_venv/bin/activate` -- path depends on your toolchain install.
-      kind: note
-    - title: Download the ONNX model
-      command: hf download Renesas/CenterNet-R18-ONNX --repo-type=model --include "fp32/*" --local-dir ./CenterNet-R18-ONNX-fp32
-    - title: Compile with the NNAC toolchain (INT8 auto-cast from the FP32 graph)
-      command: |
-        python3 nnac_frontend/legalize.py -d binary/nnx ./CenterNet-R18-ONNX-fp32/fp32/centernet_r18_8xb16_crop512_140e_coco.onnx --num-core 1
-    - title: Set up the R-Car X5H board
-      command: Configure the board per the AI Compiler (NNAC) "Getting Started" guide, section 3.4 (host TFTP/NFS setup, bootloader flashing, U-Boot, Linux boot, login) -- exact steps depend on your board/network setup.
-      kind: note
-    - title: Copy the compiled artifact to the board
-      command: Copy ${WORKDIR}/binary/nnx (the working directory from the download/compile steps above) to the board -- method may vary (NFS mount, scp, USB, etc.).
-      kind: note
-    - title: Run on R-Car X5H (single NPU cluster)
-      command: |
-        cd binary
-        ./host_app ./arc_prog_npus ./nnx/centernet_r18_8xb16_crop512_140e_coco
-      expected: hash[n] = 0x...(OK) means the run's output matches the reference hash in hash.txt; latency is the NPX execution time reported in cycles and ms.