Inference Acceleration & Speculative Execution
Pure Edge Computation
LLM Speculative Decoding Speedup & Throughput Calculator
Models latency reduction and generation throughput when pairing small draft models with massive target LLMs.
Formula:
Speedup = T_target / T_eff; E[N] = (1 - alpha^(K+1)) / (1 - alpha); T_round = K * T_draft + T_target
Model Parameters
Outputs & Underwriting Summary
Calculation Status
WALL-CLOCK ACCELERATED
Verified Model
Wall-Clock Speedup
1.77x
Throughput: 50.6 tokens/s
Effective Latency per Token
19.8 ms
Accepted: 3.29 tokens/round | Round: 65.0 ms
Speculative decoding achieves a 1.77x wall-clock speedup, generating 50.6 tokens/sec (up from 28.6 tokens/sec baseline) with 3.29 accepted tokens per iteration.
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