Unverified50% confidenceBenchmarkExact time
In a test running all 21 models on a fixed set of 100 OmniDocBench pages on a single RTX PRO 6000, OXR end-to-end (including layout analysis, recognition, and reading order) processed 100 pages in 101 seconds, while the next fastest, OvisOCR2, took 135 seconds.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/27/2026
First Seen
Valid until: 1/25/2027
Sources
Related Entities
Related Claims
UnverifiedOn a Mac with 8GB of memory, running Gemma via Ollama takes about 30 seconds per draft; running the same Gemma model via browser WebGPU took a median of 3.25 seconds to process 100 drafts, versus 31.4 seconds for Ollama.68% similarUnverifiedIn a pure CPU import test of 2,400 Pocket articles, fetching and rendering each page took 3 to 8 seconds, tagging took 1 to 3 seconds, and image description took 5 to 10 seconds—the model was not the bottleneck most of the time; the browser was.68% similarUnverifiedRestoring an ultra-dense flowchart took approximately 6 minutes and 5 seconds, with the model identifying 20 table flowchart boxes and connecting lines.67% similarUnverifiedAcross the 12 test weeks, all 12 drafts generated by Gemma passed the number checker, each taking about 36 seconds.67% similarUnverifiedA complete agent run (14 tool calls, 63 graph reads, 13 graph writes) totals about 75 milliseconds inside FalkorDB.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1104357API
curl https://kongchang.com/api/v1/knowledge/claims/1104357MCP
get_claim(id=1104357)