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Inference Efficiency Analysis on MSCOCO Karpathy

9.7End-to-End Latency (ms)EfficientVLM
-483.7962,847.3026,178.49,509.498Oct 14, 2022

Evaluation results

MethodLinks
EfficientVLMInput Length (image/text)=196/35, Hardware=GPU2022.109.74258.350.38.51.3
X-VLMclipInput Length (image/text)=196/35, Hardware=GPU2022.1017.886.1918.9123—4.2
ViLTInput Length (image/text)=200/40, Hardware=GPU2022.10212.40.70.610920.322.8
MiniVLMInput Length (image/text)=50/35, Hardware=GPU2022.1023.67.512.24.434.511.42.3
DistilVLMInput Length (image/text)=50/35, Hardware=GPU2022.1023.67.512.24.434.511.42.3
ViLTInput Length (image/text)=200/40, Hardware=CPU2022.1069.12.40.80.610968.322.8
OSCAR_BInput Length (image/text)=50/35, Hardware=GPU2022.10135.263.8121.976710913.38.2
EfficientVLMInput Length (image/text)=196/35, Hardware=CPU2022.10180.842171.58.350.317.11.3
X-VLMclipInput Length (image/text)=196/35, Hardware=CPU2022.10395.586.1355.118.9123—4.2
MiniVLMInput Length (image/text)=50/35, Hardware=CPU2022.10418.27.5393.94.434.524.32.3
DistilVLMInput Length (image/text)=50/35, Hardware=CPU2022.10418.27.5393.94.434.524.32.3
OSCAR_BInput Length (image/text)=50/35, Hardware=CPU2022.1012,347.163.812,30076710947.18.2