Profile Job Results

    Jobs
    jo5mq80dp
    Results Ready
    Name
    trocr_TrOCRDecoder
    Target Device
    Samsung Galaxy S24 Ultra (14)
    Creator
    ai-hub-support@qti.qualcomm.com
    Target Model
    Input Specs
    input_ids: int32[1, 1]
    kv_0_attn_key: float32[1, 8, 1, 32]
    kv_0_attn_val: float32[1, 8, 1, 32]
    kv_0_cross_attn_key: float32[1, 8, 578, 32]
    kv_0_cross_attn_val: float32[1, 8, 578, 32]
    kv_1_attn_key: float32[1, 8, 1, 32]
    kv_1_attn_val: float32[1, 8, 1, 32]
    kv_1_cross_attn_key: float32[1, 8, 578, 32]
    kv_1_cross_attn_val: float32[1, 8, 578, 32]
    kv_2_attn_key: float32[1, 8, 1, 32]
    kv_2_attn_val: float32[1, 8, 1, 32]
    kv_2_cross_attn_key: float32[1, 8, 578, 32]
    kv_2_cross_attn_val: float32[1, 8, 578, 32]
    kv_3_attn_key: float32[1, 8, 1, 32]
    kv_3_attn_val: float32[1, 8, 1, 32]
    kv_3_cross_attn_key: float32[1, 8, 578, 32]
    kv_3_cross_attn_val: float32[1, 8, 578, 32]
    kv_4_attn_key: float32[1, 8, 1, 32]
    kv_4_attn_val: float32[1, 8, 1, 32]
    kv_4_cross_attn_key: float32[1, 8, 578, 32]
    kv_4_cross_attn_val: float32[1, 8, 578, 32]
    kv_5_attn_key: float32[1, 8, 1, 32]
    kv_5_attn_val: float32[1, 8, 1, 32]
    kv_5_cross_attn_key: float32[1, 8, 578, 32]
    kv_5_cross_attn_val: float32[1, 8, 578, 32]
    Completion Time
    4/14/2024, 8:04:25 AM
    Estimated Inference Time
    1.95 ms
    Estimated Peak Memory Usage
    0 - 184 MB
    Compute Units
    NPU
    370
    StageTimeMemory
    First App Load
    1.95 s899-907 MB
    Subsequent App Load
    163 ms74-266 MB
    Inference
    1.95 ms0-184 MB

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