Sync model repo (text/metadata)

benchmarks/vit-base-raspberrypi5-fp32.yaml

@@ -1,25 +1,9 @@
 version: 1.0.0
-task: vision-classification
+report_type: vision-classification
+profile: Baseline
 created_at: '2026-05-07T15:58:46Z'
 context:
-  model:
-    id: Arm/vit-base-int8-xnnpack-executorch
-    filename: vit-base-fp32-executorch.pte
-    base_model_id: google/vit-base-patch16-224
-    profile: Baseline
-    weight_dtype: fp32
-    model_size_mb: 330.423
-    format: pte
-  target:
-    name: Raspberry Pi 5
-    hardware_class: Edge Linux
-    cpu_architecture: arm64
-    cpu_model: Cortex-A76
-    cpu_core_count: 4
-    cpu_clock_ghz: 2.4
-    system_memory_gb: 8
-    os: linux
-    os_version: Raspberry Pi OS Bookworm
+  target_ref: raspberry-pi-5
   runtime:
     name: executorch
     execution_backend: cpu

benchmarks/vit-base-raspberrypi5-int8.yaml

@@ -1,32 +1,9 @@
 version: 1.0.0
-task: vision-classification
+report_type: vision-classification
+profile: Arm-Optimized
 created_at: '2026-05-07T15:58:46Z'
 context:
-  model:
-    id: Arm/vit-base-int8-xnnpack-executorch
-    filename: vit-base-int8-executorch.pte
-    base_model_id: google/vit-base-patch16-224
-    weight_dtype: int8
-    profile: Arm-Optimized
-    quantization:
-      method: PTQ-dynamic
-      weight_bits: 8
-      activation_bits: 8
-      symmetric: true
-      mode: dynamic
-      weight_granularity: per-channel
-    model_size_mb: 83.963
-    format: pte
-  target:
-    name: Raspberry Pi 5
-    hardware_class: Edge Linux
-    cpu_architecture: arm64
-    cpu_model: Cortex-A76
-    cpu_core_count: 4
-    cpu_clock_ghz: 2.4
-    system_memory_gb: 8
-    os: linux
-    os_version: Raspberry Pi OS Bookworm
+  target_ref: raspberry-pi-5
   runtime:
     name: executorch
     execution_backend: cpu

metadata.yaml

@@ -1,62 +1,18 @@
-# Metadata generated by ARM Model Optimization Pipeline
-version: 1.0.0
-task: vision-classification
-created_at: '2026-05-07T15:58:46Z'
-context:
-  model:
-    id: google/vit-base-patch16-224
-    base_model_id: google/vit-base-patch16-224
-    profile: Arm-Optimized
-    weight_dtype: int8
-    quantization:
-      method: PTQ-dynamic
-      weight_bits: 8
-      activation_bits: 8
-      symmetric: true
-      mode: dynamic
-      weight_granularity: per-channel
-    model_size_mb: 83.963
-    format: pte
-    filename: vit-base-int8-executorch.pte
-  target:
-    name: Raspberry Pi 5
-    hardware_class: Edge Linux
-    cpu_architecture: arm64
-    cpu_model: Cortex-A76
-    cpu_core_count: 4
-    cpu_clock_ghz: 2.4
-    system_memory_gb: 8
-    os: linux
-    os_version: Raspberry Pi OS Bookworm
-  runtime:
-    name: executorch
-    execution_backend: cpu
-    config:
-      optimisations:
-      - XNNPACK
-      - KleidiAI
-    version: 1.1.0
-  dataset:
-    name: ImageNet-1k
-    sample_count: 50000
-    reference_url: https://www.image-net.org/
-    slice: val
-  benchmark:
-    batch_size: 1
-    input_resolution: 224x224
-    num_runs: 100
-    warmup_runs: 10
-performance:
-  end_to_end_latency_ms:
-    p50: 152.512
-    p90: 153.126
-    p99: 153.592
-  model_load_time_ms: 226.691
-  time_to_first_inference_ms: 153.656
-  peak_memory_mb: 108.11
-  average_memory_mb: 108.06
-  frames_per_second: 6.56
-  delegation_pct: 89.61
-accuracy:
-  top_1_accuracy_pct: 81.52
-  top_5_accuracy_pct: 96.07
+schema_version: 1.0.0
+report_type: vision-classification
+task_type: image-classification
+title: ViT-Base INT8 — ExecuTorch + XNNPACK
+id: Arm/vit-base-int8-xnnpack-executorch
+filename: vit-base-int8-executorch.pte
+base_model_id: google/vit-base-patch16-224
+weight_dtype: int8
+profile: Arm-Optimized
+quantization:
+  method: PTQ-dynamic
+  weight_bits: 8
+  activation_bits: 8
+  symmetric: true
+  mode: dynamic
+  weight_granularity: per-channel
+model_size_mb: 83.963
+format: pte