VLM Inference Benchmark Explorer

Cosmos-Reason1-7B on Jetson AGX Thor — BF16, vLLM vision-language inference benchmark

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ModelCosmos-Reason1-7B
Parameters8.3B
DeviceJetson AGX Thor
QuantizationBF16
Image size720p
Images per camera1
Max Cameras (response ≤ 3 s)8
EnginevLLM
CamerasResponse (s)TPS (tok/s)Target
10.5816.4≤3 s
20.7615.9≤3 s
41.3215.3≤3 s
81.9013.6≤3 s
163.3311.9>3 s
Images per requestResponse (s)TPS (tok/s)Target
10.5816.4≤3 s
21.0116.2≤3 s
41.9816.1≤3 s
84.1016.0>3 s
168.9215.2>3 s
3221.314.5>3 s
6456.112.8>3 s
128——Failed

Cosmos-Reason1-7B (8.3B parameters), served in BF16 format with vLLM on Jetson AGX Thor, starts answering a single camera that sends one 720p image after 0.58 s, then writes 16.4 tok/s.

With 64 images per camera at 720p, the answer starts after 56.1 s. With one 2K image, after 2.3 s.

At the default target of an answer starting within 3 s (720p, one image per camera), it keeps up with 8 cameras at once.