AMEVA-Runtime (Python)
Next-Gen Unified On-Device Hardware Orchestration & 6-Modality AI Acceleration Runtime for Mobile & Edge
Installation
pip install ameva-runtime
Quickstart
import ameva_runtime as ameva
from ameva_runtime import vulkan
# Inspect hardware
profile = ameva.detect_hardware()
print(f"Target: {profile.soc_name} | {profile.gpu_vendor}")
# Run diagnostics
doc = vulkan.Doctor()
report = doc.run_self_test()
print(f"Passed: {report.passed_stages}/{report.total_stages}")
Empirical Benchmarks
- Galaxy S25 (Adreno 830): LLM 35.80 t/s (VRAM 25/25 layers), Whisper STT 4,401 ms, TTS RTF 0.264x (medium) / 0.993x (high-fp16).
- Galaxy A35 (Mali-G68 MP5): LLM 4.44 t/s (+26.9% vs NEON), Whisper STT 360.60s (2.26x speedup), TTS RTF 1.146x.
Documentation
License
Apache-2.0 License. Copyright (c) 2026 Eunho Kim (@uno-km).
1 maintainer
Release files for ameva-runtime 2.1.0
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ameva_runtime-2.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Release files / ameva_runtime-2.1.0-py3-none-any.whl
| Download URL | ameva_runtime-2.1.0-py3-none-any.whl |
|---|---|
| Size | 70.3 kB |
| Tags | Python 3 |
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