Unverified50% confidenceFactExact time
On a laptop with an Intel Core Ultra 5, 16GB of RAM, and no discrete GPU, setting OLLAMA_IGPU_ENABLE=1 raised Gemma 4 E4B's prompt processing speed from about 31 tokens/s to about 315 tokens/s.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/17/2026
First Seen
Valid until: 1/15/2027
Sources
Related Entities
Related Claims
UnverifiedRunning via llama.cpp on a MacBook Pro with an M4 Pro chip and 24GB unified memory, the text decoding speed is 10.13 tokens/second, with each complete task taking 4 to 7 minutes.76% similarUnverifiedThe model gemma4:e2b-it-qat runs locally via Ollama on a CPU-only i5-1135G7 laptop, with a download size of 4.3 GB, a cold-start time of approximately 14 seconds, a warm-start time of 3.6 to 4.0 seconds, and a speed of approximately 15 to 20 tokens/second.75% similarUnverifiedOn the same machine and model, the decoding speed difference between low power mode and high power mode is 1.4 to 3.8 times; for example, running Qwen 3.5 35B on Ollama gives 51.9 tokens/s in low power and 107.1 tokens/s in high power.75% similarUnverifiedOn the same 32GB laptop, running the model in the traditional way with the CPU maxed out gives a speed of about 2.8 tokens/s.74% similar
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