VLM Inference Benchmark Explorer

MiniCPM-V-4.6 on DGX Spark — BF16, vLLM vision-language inference benchmark

Open this configuration in the VLM Inference Benchmark Explorer

ModelMiniCPM-V-4.6
Parameters1.3B
DeviceDGX Spark
QuantizationBF16
Image size720p
Images per camera1
Max Cameras (response ≤ 3 s)32
EnginevLLM
CamerasResponse (s)TPS (tok/s)Target
10.19114.3≤3 s
20.32127.5≤3 s
40.50120.3≤3 s
80.77101.2≤3 s
161.3380.0≤3 s
322.2050.0≤3 s
643.7527.2>3 s
1285.5112.9>3 s
2569.246.8>3 s
38421.55.5>3 s
416——Failed
Images per requestResponse (s)TPS (tok/s)Target
10.19114.3≤3 s
20.33114.2≤3 s
40.61113.1≤3 s
81.19112.1≤3 s
162.34109.2≤3 s
324.80104.4>3 s
649.6796.1>3 s
12819.983.2>3 s
256——Failed

MiniCPM-V-4.6 (1.3B parameters), served in BF16 format with vLLM on DGX Spark, starts answering a single camera that sends one 720p image after 0.19 s, then writes 114.3 tok/s.

With 128 images per camera at 720p, the answer starts after 19.86 s. With one 2K image, after 0.29 s.

At the default target of an answer starting within 3 s (720p, one image per camera), it keeps up with 32 cameras at once.