TFLite LiteRT TensorFlow Test vs Shader Playground
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
TFLite LiteRT TensorFlow Test
Read full descriptionHide full description
How fast does your .tflite model actually run on this iPhone? Pick CPU, GPU or Neural Engine. Get real latency and QPS. No Mac, no Xcode project, no Bazel build, no cloud, no account. Open a .tflite file from the Files app, pick an accelerator, run it. A real measurement on the exact device you care about, in about a minute — no Bazel workspace, no benchmark tool built from source. PICK THE ACCELERATOR - Neural Engine — attaches the Core ML delegate, so supported operators run on the Apple Neural Engine - GPU — attaches the GPU delegate, backed by Metal - CPU — the plain interpreter, with a thread count you choose: 1, 2, 4, 6 or 8 One configuration per run: run it, change the delegate or thread count, load it again, compare the numbers yourself. WHAT YOU GET - Latency: mean, min and max, in milliseconds - Queries per second - Total queries completed and total run duration - A query count you set per run, from 50 to 5,000 invocations Mean, min and max time the model inference call only — no pre-processing, no post-processing. Duration covers the whole loop. The screen stays awake during a run. WHAT YOU SEE ABOUT THE MODEL - Every input and output tensor: index, name, shape and data type (uInt8, int32, float16, float32 and the rest) - Model file size and framework - Live app memory usage against the memory available to the app, refreshed while the model runs - A device tab with model identifier, system version, disk space, and the exact TensorFlow Lite runtime version this build links against A MobileNet model ships in the app and loads on launch, so you see a real measurement before importing your own. READ THIS BEFORE YOU TRUST A NUMBER Inference runs on a zeroed dummy input. The app fills every input tensor with zeros and invokes the model, so what you measure is the compute cost of the graph on the accelerator you picked — latency and throughput, nothing else. It is not an accuracy test. It will not tell you whether your model gives the correct answer, and it does not show output tensor values. Ask it "how fast", not "how correct". What it does not do, stated up front: no side-by-side accelerator comparison in one run, no per-layer or per-operator profiling, no result export, no image or real-data input. It opens .tflite files only. PRIVACY Your model never leaves the device. Loading, inspection, inference and timing all happen locally on your iPhone or iPad. No account, no sign-in — your models and your results are never uploaded. TensorFlow Lite is now called LiteRT; the format and the .tflite extension are unchanged. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc. Not affiliated with or endorsed by Google.
Shader Playground
Read full descriptionHide full description
Shader Playground is a powerful real-time shader editor built for iPhone and iPad. Write Metal fragment shaders, see results instantly at 60 FPS, and export your creations as images or videos. REAL-TIME PREVIEW Write code and watch your shader come alive instantly. The live preview renders at 60 FPS with full support for standard uniforms: iTime, iResolution, iMouse, and iFrame. SHADER EDITOR WITH SYNTAX HIGHLIGHTING A dedicated code editor with Metal Shading Language syntax highlighting, monospace font, and smart keyboard tools — designed for comfortable coding on mobile. BUILT-IN SHADER LIBRARY Get started immediately with 10 ready-to-use shaders including plasma, Mandelbrot fractals, raymarched 3D scenes, Voronoi patterns, ocean waves, and more. Learn by exploring and modifying working examples. MULTI-PASS RENDERING Build complex effects with up to four buffer passes. Chain textures between passes to create feedback loops, blur effects, and advanced post-processing pipelines. TOUCH INPUT Map touch and drag gestures directly to shader uniforms. Create interactive visual experiences that respond to your fingertips. SAVE & LOAD PROJECTS Save your shaders locally and pick up where you left off. Build your personal library of custom effects. EXPORT Capture the perfect frame as a PNG image or render smooth MP4 videos at custom resolution, duration, and frame rate. Save directly to your Camera Roll or share anywhere. Whether you're a graphics programmer, creative coder, student learning GPU programming, or a visual artist exploring generative art — Shader Playground gives you a complete Metal shader development environment in your pocket. Thanks for your support and do visit nitrio.com for more apps for your iOS devices.
Screenshots
Verdict
The clearest difference is chart position: TFLite LiteRT TensorFlow Test at #125 against Shader Playground's unranked. TFLite LiteRT TensorFlow Test also leads on price ($1.99 vs $2.99). On ads, in-app purchases, device support and iOS requirement there is nothing between them.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
TFLite LiteRT TensorFlow Test costs $1.99 and Shader Playground $2.99 up front. Neither carries in-app purchases, so what you see is what you pay.
| Parameter | TFLite LiteRT TensorFlow Test | Shader Playground |
|---|---|---|
| Price | $1.99 — better | $2.99 |
| Rating | — | 5.0 (1 ratings) — better |
| Number of ratings | — | 1 — better |
| Update frequency | Every 8 months | — |
| Ads | No | No |
| In-app purchases | No | No |
| Best chart rank | #125 — better | — |
| Devices | iPhone, iPad | iPhone, iPad |
| Requires iOS | 16.0 — better | 17.6 |
| Further details — not scored | ||
| Size | 27 MB | 2 MB |
| Age rating | 4+ | 4+ |
| Developer | Anh Nguyen | Heng Jia Liang |
In-app purchases
TFLite LiteRT TensorFlow Test
No in-app purchases
Shader Playground
No in-app purchases
Questions
Is TFLite LiteRT TensorFlow Test free?
Is Shader Playground free?
Do TFLite LiteRT TensorFlow Test or Shader Playground have ads?
Other comparisons















