Dynavera Benchmark Results

Date: 2026-03-24 13:29:55
Inference endpoint: http://fyp-inference-dev:8001
Repetitions per benchmark: 10

1. GPU Server Health

Field	Value
Status	OK
LLM Ready	True
Embed Ready	True
Health check RTT	44.5 ms

2. Embedding Latency

Query type	Chars	Mean (ms)	Median (ms)	P95 (ms)	Min (ms)	Max (ms)
short	19	25.0	25.3	31.9	20.8	31.9
medium	172	24.0	22.8	31.8	21.0	31.8
long	428	29.8	27.5	37.7	25.0	37.7

3. Semantic Chunking Latency

Input size	Chars	Chunks produced	Latency (ms)
small (~200 c)	200	1	26.7
medium (~2k c)	1810	1	62.7
large (~8k c)	7740	1	204.0

4. LLM Inference Latency

Prompt type	Elapsed (s)	Prompt tokens	Completion tokens	Tok/s
short_qa	1.26	55	69	54.9
progress_summary	1.24	74	68	54.9
curriculum_gen	1.4	79	76	54.4
assessment_gen	4.75	83	249	52.4
knowledge_explanation	10.34	83	541	52.3

Note on end-to-end session time: A full onboarding session invokes multiple sequential inference calls (curriculum generation → knowledge explanation × N modules → assessment generation → progress summary). Total wall-clock time accumulates across all turns plus retrieval and tool-call overhead.

5. Database Statistics

Entity	Count
Organizations	3
Roles	10
Users	12
Training Files (total)	1
Training Files (embedded)	0
Knowledge Chunks (with embeddings)	8
Onboarding Sessions	4

6. pgvector Retrieval Latency

Role: fNIRS Specialist
Organisation: University of Birmingham
Query: "What are the key responsibilities, tools, and procedures for this role?"
Total chunks in DB: 8

Top-K	Results returned	Mean (ms)	Median (ms)	P95 (ms)	Min (ms)	Max (ms)
top_5	5	2.3	2.0	5.0	1.9	5.0
top_10	8	2.4	2.4	3.1	2.3	3.1
top_20	8	2.3	2.3	2.6	2.2	2.6

Raw JSON

{
  "health": {
    "status": "OK",
    "llm_ready": true,
    "embed_ready": true,
    "latency_ms": 44.5
  },
  "embeddings": {
    "short": {
      "query_chars": 19,
      "mean_ms": 25.0,
      "median_ms": 25.3,
      "p95_ms": 31.9,
      "min_ms": 20.8,
      "max_ms": 31.9
    },
    "medium": {
      "query_chars": 172,
      "mean_ms": 24.0,
      "median_ms": 22.8,
      "p95_ms": 31.8,
      "min_ms": 21.0,
      "max_ms": 31.8
    },
    "long": {
      "query_chars": 428,
      "mean_ms": 29.8,
      "median_ms": 27.5,
      "p95_ms": 37.7,
      "min_ms": 25.0,
      "max_ms": 37.7
    }
  },
  "chunking": {
    "small  (~200 c)": {
      "chars": 200,
      "chunks_produced": 1,
      "latency_ms": 26.7
    },
    "medium (~2k c)": {
      "chars": 1810,
      "chunks_produced": 1,
      "latency_ms": 62.7
    },
    "large  (~8k c)": {
      "chars": 7740,
      "chunks_produced": 1,
      "latency_ms": 204.0
    }
  },
  "llm": {
    "short_qa": {
      "elapsed_s": 1.26,
      "prompt_tokens": 55,
      "completion_tokens": 69,
      "tokens_per_sec": 54.9,
      "response_preview": "A Kubernetes pod is the basic execution unit of a containerized application, and it represents a log"
    },
    "progress_summary": {
      "elapsed_s": 1.24,
      "prompt_tokens": 74,
      "completion_tokens": 68,
      "tokens_per_sec": 54.9,
      "response_preview": "The trainee has demonstrated a strong foundation in the fundamentals of version control with Git, as"
    },
    "curriculum_gen": {
      "elapsed_s": 1.4,
      "prompt_tokens": 79,
      "completion_tokens": 76,
      "tokens_per_sec": 54.4,
      "response_preview": "[   \"Module 1: Introduction to Backend Services\",   \"Module 2: Fundamentals of API Design\",   \"Modul"
    },
    "assessment_gen": {
      "elapsed_s": 4.75,
      "prompt_tokens": 83,
      "completion_tokens": 249,
      "tokens_per_sec": 52.4,
      "response_preview": "[   {     \"question\": \"What is the primary purpose of a Continuous Integration (CI) pipeline?\",     "
    },
    "knowledge_explanation": {
      "elapsed_s": 10.34,
      "prompt_tokens": 83,
      "completion_tokens": 541,
      "tokens_per_sec": 52.3,
      "response_preview": "**Git Branching Strategy Best Practices**  As a new engineer, understanding Git branching strategies"
    }
  },
  "database": {
    "organizations": 3,
    "roles": 10,
    "users": 12,
    "training_files_total": 1,
    "training_files_embedded": 0,
    "knowledge_chunks_with_embeddings": 8,
    "onboarding_sessions": 4
  },
  "retrieval": {
    "role": "fNIRS Specialist",
    "organization": "University of Birmingham",
    "query": "What are the key responsibilities, tools, and procedures for this role?",
    "total_chunks_in_db": 8,
    "results": {
      "top_5": {
        "results_returned": 5,
        "mean_ms": 2.3,
        "median_ms": 2.0,
        "p95_ms": 5.0,
        "min_ms": 1.9,
        "max_ms": 5.0
      },
      "top_10": {
        "results_returned": 8,
        "mean_ms": 2.4,
        "median_ms": 2.4,
        "p95_ms": 3.1,
        "min_ms": 2.3,
        "max_ms": 3.1
      },
      "top_20": {
        "results_returned": 8,
        "mean_ms": 2.3,
        "median_ms": 2.3,
        "p95_ms": 2.6,
        "min_ms": 2.2,
        "max_ms": 2.6
      }
    }
  }
}

5.4 KiB Raw Blame History Unescape Escape