Sync model repo (text/metadata)
Browse files
benchmarks/deit-tiny-int8-ethos-u-executorch-alif-dk-e8-fp32.yaml
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# The FP32 baseline was NOT compiled/run on the Ethos-U85 (delivered as a PyTorch
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# reference, performance: null), so this carries reference accuracy only — no on-device
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# latency/memory. runtime/benchmark describe the PyTorch eval on the ImageNet workload.
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version: 1.
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report_type: vision-classification
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profile: Baseline
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created_at: '2026-07-14T21:00:10Z'
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# The FP32 baseline was NOT compiled/run on the Ethos-U85 (delivered as a PyTorch
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# reference, performance: null), so this carries reference accuracy only — no on-device
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# latency/memory. runtime/benchmark describe the PyTorch eval on the ImageNet workload.
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version: 1.2.0
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report_type: vision-classification
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profile: Baseline
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created_at: '2026-07-14T21:00:10Z'
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benchmarks/deit-tiny-int8-ethos-u-executorch-alif-dk-e8-int8.yaml
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# mac_utilization_pct, total_cycles, active_cycles, effective_cycles_ratio_pct — all
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# retained in metadata.yaml. peak_memory_mb is the SRAM working-memory peak
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# (sram_peak_bytes / 1048576).
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version: 1.
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report_type: vision-classification
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profile: Arm-Optimized
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created_at: '2026-07-14T21:00:10Z'
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# mac_utilization_pct, total_cycles, active_cycles, effective_cycles_ratio_pct — all
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# retained in metadata.yaml. peak_memory_mb is the SRAM working-memory peak
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# (sram_peak_bytes / 1048576).
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version: 1.2.0
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report_type: vision-classification
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profile: Arm-Optimized
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created_at: '2026-07-14T21:00:10Z'
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