VLM Inference Benchmark Explorer

MiniCPM-V-4.7-1B on DGX Spark — BF16, vLLM vision-language inference benchmark

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ModelMiniCPM-V-4.7-1B
Parameters1.6B
DeviceDGX Spark
QuantizationBF16
Image size720p
Images per camera1
Max Cameras (response ≤ 3 s)64
EnginevLLM
CamerasResponse (s)TPS (tok/s)Target
10.20115.6≤3 s
20.26116.8≤3 s
40.36106.1≤3 s
80.5888.4≤3 s
161.0669.4≤3 s
322.0246.6≤3 s
642.8624.2≤3 s
1284.5412.5>3 s
2568.966.8>3 s
32014.66.0>3 s
35217.75.9>3 s
384——Failed
Images per requestResponse (s)TPS (tok/s)Target
10.20115.6≤3 s
20.32115.4≤3 s
40.60114.4≤3 s
81.18113.1≤3 s
162.34110.9≤3 s
324.71106.4>3 s
649.6897.6>3 s
12820.084.0>3 s
256——Failed

MiniCPM-V-4.7-1B (1.6B parameters), served in BF16 format with vLLM on DGX Spark, starts answering a single camera that sends one 720p image after 0.2 s, then writes 115.6 tok/s.

With 128 images per camera at 720p, the answer starts after 20.02 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 64 cameras at once.