SparsePR Benchmarks: Density, PSNR, SSIM, and Speedup

Table 1

Quality and efficiency

Reference fidelity, task quality, executed-pair density, attention PFLOPs, and end-to-end speedup.

Model	Method	PSNR ↑	SSIM ↑	LPIPS ↓	ImgQual ↑	SubCons ↑	PBench ↑	Density ↓	PFLOPs ↓	E2E ↑
HunyuanVideo-13B	Dense	–	–	–	0.850	0.976	–	100%	612.38	1.00×
HunyuanVideo-13B	SpargeAttn†	24.589	0.796	0.232	–	0.908	–	40.09%	389.76	1.38×
HunyuanVideo-13B	SVG2†	30.452	0.910	0.117	0.852	0.927	–	25.45%	299.02	2.30×
HunyuanVideo-13B	SVOO†	24.879	0.843	0.224	0.6793	0.9799	–	–	–	2.17×
HunyuanVideo-13B	SVG-EAR†	31.043	0.928	0.092	0.845	0.903	–	22.17%	281.86	1.93×
HunyuanVideo-13B	SparsePR	31.844	0.932	0.087	0.850	0.976	–	21.92%	255.95	2.61×
Wan2.2-I2V-A14B	Dense	–	–	–	0.689	0.974	–	100%	658.46	1.00×
Wan2.2-I2V-A14B	SpargeAttn†	27.140	0.883	0.116	0.680	0.958	–	30.15%	396.83	1.58×
Wan2.2-I2V-A14B	SVG2†	26.562	0.861	0.138	0.668	0.959	–	31.28%	393.95	1.59×
Wan2.2-I2V-A14B	SVOO†	29.678	0.913	0.095	0.7337	0.9731	–	–	–	1.61×
Wan2.2-I2V-A14B	SVG-EAR†	29.759	0.918	0.093	0.680	0.959	–	23.64%	378.88	1.61×
Wan2.2-I2V-A14B	SparsePR	30.658	0.907	0.044	0.687	0.973	–	21.97%	328.70	1.80×
Cosmos-Predict2.5-14B	Dense	–	–	–	0.714	0.976	77.76	100%	526.87	1.00×
Cosmos-Predict2.5-14B	SVG2	20.075	0.624	0.330	0.678	0.896	76.14	28.81%	286.51	1.24×
Cosmos-Predict2.5-14B	SVOO	22.066	0.685	0.289	0.701	0.909	76.03	37.63%	315.38	1.03×
Cosmos-Predict2.5-14B	SVG-EAR	25.549	0.908	0.062	0.710	0.976	77.78	29.75%	289.69	1.10×
Cosmos-Predict2.5-14B	SparsePR	26.328	0.942	0.068	0.714	0.976	77.75	22.14%	253.61	1.51×
Cosmos3-Nano-16B	Dense	–	–	–	0.700	0.950	77.31	100.00%	90.01	1.00×
Cosmos3-Nano-16B	SVG2	22.458	0.735	0.216	0.677	0.915	75.03	37.29%	57.69	1.16×
Cosmos3-Nano-16B	SVOO	16.642	0.573	0.381	0.707	0.962	77.59	67.32%	69.51	1.02×
Cosmos3-Nano-16B	SVG-EAR	21.167	0.709	0.261	0.658	0.872	72.85	37.18%	57.64	1.10×
Cosmos3-Nano-16B	SparsePR	24.417	0.801	0.176	0.699	0.949	77.30	25.96%	43.22	1.48×

† Reported by prior work. Rows without † are reproduced under matched hardware, sequence shape, and timing protocols.

Table 2

Partitioning and reconstruction ablations

Mean and p99 normalized attention-output error at 22% total executed-pair density. Lower is better.

Configuration	HunyuanVideo	Wan2.2	Cosmos-Predict2.5	Cosmos3-Nano
Semantic partition	0.0887 / 0.7136	0.1634 / 1.7338	0.7903 / 7.5318	0.3590 / 3.3557
Key-response K/V partition	0.0851 / 0.8121	0.1560 / 1.6591	0.7686 / 7.2700	0.3409 / 3.1738
Response-coupled partition	0.0736 / 0.6967	0.1489 / 1.6479	0.7617 / 7.2271	0.3315 / 3.1502
Semantic + probe repair	0.0527 / 0.3562	0.1041 / 0.8186	0.2622 / 0.8260	0.1720 / 0.8648
SparsePR	0.0330 / 0.2285	0.0707 / 0.4305	0.0954 / 0.5769	0.0822 / 0.4951