Granite 4.2 3B 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 3BQ4_K_M · 4,096 context · reasoning off	60	4.9	24.2	18.1	98.6	4,351	3.7

Benchmark breakdown

Instruction following · IFEval	Tool calling · BFCL	Finding information · RULER
67	49	63

Test configuration

Model publisher: IBM
Model parameters: 3.66 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: 2026-10-18T04:46:29.502534+00:00
Result ID: split-6867ed377897660beb6a
Runtime revision: 620d2225cc436ab0b001e3200e590e3b286ef9ab
Artifact repository / revision: ibm-granite/granite-4.2-3b-GGUF / c40945d71cd90f249a56985e8155551a9188dc30
Artifact SHA256: e0406663965846ae22a403456eb826ccce5f450840491f71952f18a7cb78e7d5
Dataset revision: a0fc00b6a07455d1efb70cc19d5ca94c5923c5261a0b41095083a41a1592a1f6
Configuration identity: 2f53159dc86223bf227f09f0bb7b2877fd7c9d8029e438c0199e871a7b2e8a20

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 2026-10-18T04:46:29.502534+00:00.