VLM Inference Benchmark Explorer

Llama-4-Scout-17B-16E-Instruct on DGX Spark — NVFP4, vLLM vision-language inference benchmark

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ModelLlama-4-Scout-17B-16E-Instruct
Parameters109B
DeviceDGX Spark
QuantizationNVFP4
Image size720p
Images per camera1
Max Cameras (response ≤ 3 s)8
EnginevLLM
CamerasResponse (s)TPS (tok/s)Target
10.9418.4≤3 s
21.3314.7≤3 s
41.5410.1≤3 s
82.567.0≤3 s
165.024.8>3 s
247.343.9>3 s
288.443.4>3 s
32——Failed
Images per requestResponse (s)TPS (tok/s)Target
10.9418.4≤3 s
21.8918.1≤3 s
43.9317.6>3 s
88.0317.4>3 s
1617.017.1>3 s
3237.316.4>3 s
6489.114.4>3 s
128——Failed

Llama-4-Scout-17B-16E-Instruct (109B parameters), served in NVFP4 format with vLLM on DGX Spark, starts answering a single camera that sends one 720p image after 0.94 s, then writes 18.4 tok/s.

With 64 images per camera at 720p, the answer starts after 89.06 s. With one 2K image, after 1.39 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.