Vector Search Bench
Vector Search Bench is made and published by Tsubasa Kato. AppBrain is an independent app data site and isn't affiliated with Tsubasa Kato. The app name, icon, screenshots and description belong to Tsubasa Kato and are shown as published on the App Store.
AppBrain's verdict
- Last updated
- January 21, 2026
- Size
- 3.93 MB
User feedback
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Store listing
By Tsubasa Kato, from the App StoreDescription by Tsubasa Kato Written by the developer, not by AppBrain. Click to read.
Measure how fast and stable your device can score embeddings using the CPU (Accelerate/vDSP) versus the Apple Neural Engine (Core ML)—with real metrics you can trust.
What you can benchmark
Exact Top-K vector search (dot-product similarity)
CPU path: Accelerate / vDSP optimized scoring
NPU path: Core ML Dense inference tuned for Neural Engine scheduling
Query-by-query execution with repeatable timing
Intricate performance metrics
Latency distribution: median, p95
Throughput: QPS
Recall@K vs CPU reference (sanity check)
Memory footprint and dataset sizing knobs
Built for real-world AI systems
Safety and technology
Found in the app by AppBrain- Price
- Free
- App size
- 3.93 MB
- Content rating
- Everyone
Technologies used by Vector Search Bench
Releases
Updates seen on the App Store- Version
- 1.0
- Launched
- January 2026
No changelog data
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Rankings
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About the app and developer
About Vector Search Bench
Vector Search Bench is an utilities app developed by Tsubasa Kato.
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The app has no ratings yet.
App Information
Vector Search Bench is freely available from the App Store. The app size is 3.93 MB. The latest version available is 1.0. The last update was on January 21, 2026.
Technical Requirements
The app has a content rating of Everyone. The app has been available on the App Store since January 2026.
Developer information for Tsubasa Kato
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