Unverified50% confidenceTradeoffExact time
On the OmniDocBench v1.6 leaderboard, Marker 1.8.2 scores 78.44, far below Youtu-Parsing-Omni's 96.96, but Marker can run on a laptop CPU, whereas Youtu-Parsing-Omni requires a CUDA GPU.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/12/2026
First Seen
Valid until: 1/10/2027
Sources
Related Entities
Related Claims
VerifiedThe NVIDIA A100 has 6,912 CUDA cores and 432 Tensor Cores, with a theoretical peak compute of 312 TFLOPS (BF16).67% similarUnverifiedThe ANE of the A17 Pro chip delivers 35 TOPS of computing power, with power consumption approximately 1/10 that of a GPU performing the same task.65% similarUnverifiedAWQ, GPTQ, and FP8 are formats specifically optimized for CUDA GPUs and cannot run efficiently in a CPU-only environment64% similarVerifiedNVIDIA A100 拥有 6912 个 CUDA 核心64% similarUnverifiedThe Radeon 840M typically comes with 4 CUs (256 stream processors), with a theoretical FP16 compute performance of approximately 4–5 TOPS.63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1009508API
curl https://kongchang.com/api/v1/knowledge/claims/1009508MCP
get_claim(id=1009508)