DynamicLoadingReport

Conclusion

• The main bottleneck of auto inference(dynamic loading) is the overhead of CPU-GPU data transfer.
• The larger the layer size, the more acceleration we can get from GPU. So we should try to put larger layers on GPU.

Hardware: i9-14900k, 64GB memory, rtx 4090

Sequential Layer

Device	Num of Layers	Layer Size	Model Size	Num of Layers on GPU	Num of Layers on CPU	Average Inference (ms)	Acceleration	% of Layer in GPU
CPU	512	4MB	2GB	-	-	939.8	1.0	0%
Auto	512	4MB	2GB	0	512	490	1.9	0%
Auto	512	4MB	2GB	253	259	272	3.5	49.4%
Auto	512	4MB	2GB	512	0	32	29.4	100%
GPU	512	4MB	2GB	-	-	32.4	29.0	100%

Sequential Layer, Deeper Model

Device	Num of Layers	Layer Size	Model Size	Num of Layers on GPU	Num of Layers on CPU	Average Inference (ms)	Acceleration	% of Layer in GPU
CPU	1024	4MB	4GB	-	-	1839.8	1.0	0%
Auto	1024	4MB	4GB	0	1024	954	1.9	0%
Auto	1024	4MB	4GB	252	772	787	2.3	24.6%
Auto	1024	4MB	4GB	508	516	530	3.5	49.6%
Auto	1024	4MB	4GB	764	260	312.5	5.9	74.6%
Auto	1024	4MB	4GB	1020	4	69.7	26.9	99.6%
GPU	1024	4MB	4GB	-	-	65.9	27.9	100%

Sequential Layer, Larger Layer (16MB)

Device	Num of Layers	Layer Size	Model Size	Num of Layers on GPU	Num of Layers on CPU	Average Inference (ms)	Acceleration	% of Layer in GPU
CPU	256	16MB	4GB	-	-	864	1.0	0%
Auto	256	16MB	4GB	0	256	844.7	1.02	0%
Auto	256	16MB	4GB	60	196	669.9	1.3	23.4%
Auto	256	16MB	4GB	124	132	494.2	1.7	48.4%
Auto	256	16MB	4GB	188	68	372.7	2.3	73.4%
Auto	256	16MB	4GB	252	4	152.5	5.7	98.4%
GPU	256	16MB	4GB	-	-	119	7.3	100%

Sequential Layer, Even Larger Layer (64MB)

Device	Num of Layers	Layer Size	Model Size	Num of Layers on GPU	Num of Layers on CPU	Average Inference (ms)	Acceleration	% of Layer in GPU
CPU	64	64MB	4GB	-	-	8501	1.0	0%
Auto	64	64MB	4GB	0	64	898	9.5	0%
Auto	64	64MB	4GB	12	52	755.2	11.3	18.8%
Auto	64	64MB	4GB	28	36	598	14.2	43.8%
Auto	64	64MB	4GB	44	20	419.7	20.2	68.8%
Auto	64	64MB	4GB	60	4	263.7	32.3	93.8%
Auto	64	64MB	4GB	64	0	70.54	121	100%
GPU	64	64MB	4GB	-	-	69.8	121.7	100%

Hardware: Xeon W-2133, 32GB memory, gtx 1066

Device	Num of Layers	Layer Size	Model Size	Num of Layers on GPU	Num of Layers on CPU	Average Inference (ms)	Acceleration	% of Layer in GPU
CPU	64	64MB	4GB	-	-	17419	1.0	0%
Auto	64	64MB	4GB	0	64	3783.4	4.6	0%
Auto	64	64MB	4GB	12	52	3415	5.1	18.8%
Auto	64	64MB	4GB	28	36	3004	5.79	43.8%
Auto	64	64MB	4GB	44	20	2536	6.86	68.8%
Auto	64	64MB	4GB	60	4	2101	8.29	93.8%
Auto	64	64MB	4GB	64	0	1163	14.97	100%
GPU	64	64MB	4GB	-	-	1213	14.3	100%