Sync model repo (text/metadata)

benchmarks/whisper-tiny-vivo-x300-fp32.yaml

@@ -5,32 +5,11 @@
 #   (7.558% / 3.111%), NOT baseline_metadata.yaml — whose accuracy field wrongly
 #   copies the INT8 (optimized) value (see docs/marvik/upstream.md). WER/CER as PERCENT.
 version: 1.0.0
-task: speech-asr
+report_type: speech-asr
+profile: Baseline
 created_at: '2026-07-13T00:00:00Z'
 context:
-  model:
-    id: Arm/whisper-tiny-int8-xnnpack-executorch
-    filename: whisper-tiny-fp32-executorch.pte
-    base_model_id: openai/whisper-tiny
-    profile: Baseline
-    weight_dtype: fp32
-    model_size_mb: 220.259
-    parameter_count: 37760640
-    format: pte
-  target:
-    name: Vivo X300
-    hardware_class: Premium smartphone
-    cpu_architecture: arm64
-    cpu_model: C1-Ultra, C1-Premium, C1-Pro
-    cpu_core_count: 8
-    arch_feature_flags:
-      - armv9.2-a
-      - sve2
-      - i8mm
-      - bf16
-    system_memory_gb: 16
-    os: android
-    os_version: Android 16 / OriginOS 6
+  target_ref: vivo-x300
   runtime:
     name: executorch
     execution_backend: cpu

benchmarks/whisper-tiny-vivo-x300-int8.yaml

@@ -8,42 +8,11 @@
 #     (7000 ms / 1169.5 ms p50 = 5.985); the earlier 10 s value was not.
 #   - accuracy is the ExecuTorch INT8 (optimized) WER/CER, as PERCENT (repo convention).
 version: 1.0.0
-task: speech-asr
+report_type: speech-asr
+profile: Arm-Optimized
 created_at: '2026-07-13T00:00:00Z'
 context:
-  model:
-    id: Arm/whisper-tiny-int8-xnnpack-executorch
-    filename: whisper-tiny-int8-executorch.pte
-    base_model_id: openai/whisper-tiny
-    profile: Arm-Optimized
-    weight_dtype: int8
-    quantization:
-      method: PTQ-dynamic
-      weight_bits: 8
-      activation_bits: 8
-      symmetric: true
-      mode: dynamic
-      weight_granularity: per-channel
-      variant: 8da8w + embed_tokens weight-only int8
-      fp32_layers:
-        - embed_positions
-    model_size_mb: 116.578
-    parameter_count: 37760640
-    format: pte
-  target:
-    name: Vivo X300
-    hardware_class: Premium smartphone
-    cpu_architecture: arm64
-    cpu_model: C1-Ultra, C1-Premium, C1-Pro
-    cpu_core_count: 8
-    arch_feature_flags:
-      - armv9.2-a
-      - sve2
-      - i8mm
-      - bf16
-    system_memory_gb: 16
-    os: android
-    os_version: Android 16 / OriginOS 6
+  target_ref: vivo-x300
   runtime:
     name: executorch
     execution_backend: cpu

metadata.yaml

@@ -1,59 +1,22 @@
-version: 1.0.0
-task: speech-asr
-created_at: '2026-06-25T01:54:42Z'
-context:
-  model:
-    id: Arm/whisper-tiny-int8-xnnpack-executorch
-    base_model_id: openai/whisper-tiny
-    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: 116.578
-    parameter_count: 37760640
-    filename: whisper-tiny-int8-executorch.pte
-    format: pte
-  target:
-    name: Vivo X300
-    hardware_class: Premium smartphone
-    cpu_architecture: arm64
-    cpu_model: C1-Ultra, C1-Premium, C1-Pro
-    cpu_core_count: 8
-    system_memory_gb: 16
-    os: android
-    os_version: Android 16 / OriginOS 6
-  runtime:
-    name: executorch
-    execution_backend: cpu
-    config:
-      optimisations:
-      - XNNPACK
-      - KleidiAI
-    version: 1.1.0
-  dataset:
-    name: librispeech_asr
-    sample_count: 2620
-  benchmark:
-    batch_size: 1
-    audio_length_s: 7.0
-    num_runs: 50
-    warmup_runs: 10
-    mode: offline
-    sample_rate_hz: 16000
-performance:
-  end_to_end_latency_ms:
-    p50: 1169.5
-    p90: 1200.0
-    p99: 1203.0
-  peak_memory_mb: 3940.71
-  rtfx: 5.985
-  model_load_time_ms: 346.75
-accuracy:
-  normalised_wer: 0.075716
-  normalisation: Whisper-style
-  cer: 0.031322
+schema_version: 1.0.0
+report_type: speech-asr
+task_type: automatic-speech-recognition
+title: Whisper Tiny INT8 — ExecuTorch + XNNPACK
+id: Arm/whisper-tiny-int8-xnnpack-executorch
+filename: whisper-tiny-int8-executorch.pte
+base_model_id: openai/whisper-tiny
+profile: Arm-Optimized
+weight_dtype: int8
+quantization:
+  method: PTQ-dynamic
+  weight_bits: 8
+  activation_bits: 8
+  symmetric: true
+  mode: dynamic
+  weight_granularity: per-channel
+  variant: 8da8w + embed_tokens weight-only int8
+  fp32_layers:
+  - embed_positions
+model_size_mb: 116.578
+parameter_count: 37760640
+format: pte