Granite 4.2 8B on Pi 5

Snapshot 2026-10-27 · ai-tier

Raspberry Pi 5 · 16 GB RAMAll performance measurements are for this device.

Capability shows how well the model answers the benchmark questions. Speed, response time and memory are measured on Raspberry Pi 5 · 16 GB.

Capability summarises instruction following, tool calling and finding information in long prompts. Speed and memory refer to the Raspberry Pi 5. — means unavailable.
Model	Capability / 100	Output tok/s	Prompt tok/s	First token · s	Task time · s	Peak memory · MiB	Parameters · B
Granite 4.2 8BQ4_K_M · 4,096 context · reasoning off	53	2	9.2	47	257.7	10,368	8.8

Benchmark breakdown

Instruction following · IFEval	Tool calling · BFCL	Finding information · RULER
77	22	60

Test configuration

Model publisher: IBM
Model parameters: 8.792 billion total
Published input support: text (metadata; not device validation)
Quantization: Q4_K_M
Context capacity: 4,096 tokens
Reasoning mode: off
CPU threads / parallel requests: 4 / 1
Temperature / seed: 0 / 42
Measurement date: 2026-10-18T07:41:29.183124+00:00
Result ID: split-51a9360a0279278f59de
Runtime revision: 620d2225cc436ab0b001e3200e590e3b286ef9ab
Artifact repository / revision: ibm-granite/granite-4.2-8b-GGUF / 93f3f6a8938ee922b784cf4e5b4203cd3428df8f
Artifact SHA256: 16a9369d0805f80b7377d25d87f937a90c05dc04ad79173a52001e42c9aab311
Dataset revision: a0fc00b6a07455d1efb70cc19d5ca94c5923c5261a0b41095083a41a1592a1f6
Configuration identity: 5306bda7ddcb6cd7b4ee07efedc84056e7b5675bec00c97e048d41760f3c3b38

Measurement limits

Speed tests read 256 input tokens and generate 128 output tokens, repeated ten times. The output speed test starts without a long conversation history. Answer time uses six fixed prompts with up to 128 output tokens, repeated three times. First-text time is measured from the application making the request. Peak memory includes the loaded model; it excludes other applications on the device. Longer prompts may need more memory. Capability uses a fixed selection of public questions, rather than the full official benchmarks.

All Pi 5 measurements Methodology Publisher model card ↗Pinned engine source ↗

Measured 2026-10-18T07:41:29.183124+00:00.