Performance & Battery Testing
Measure the performance your users experience, not just server response times
What this service delivers
Mobile performance is felt in cold start times, scroll smoothness, and battery drain, not server-side latency alone. We profile CPU, memory, GPU rendering, and battery consumption on real devices under realistic workloads and network conditions to identify the root causes users feel as lag, heat, or app store churn.
- Cold start (p50, p95) and warm start measurement on real hardware
- Memory leak detection and GC pressure profiling
- Frame rate and jank analysis for scroll, transition, and animation
- Battery drain and CPU temperature profiling under load
- Network throttling across 3G, 4G, 5G, and WiFi-to-cellular transitions
Our approach
How we deliver performance & battery testing
A structured, evidence-based methodology that produces findings your team can act on, not reports that sit in a folder.
Baseline profiling on target device matrix
We begin by establishing baseline performance metrics on your production build across a representative set of real devices, including low-memory Android (2GB RAM) and older iOS models that performance regressions first appear on. This baseline becomes the comparison point for all subsequent builds and the reference against industry benchmarks.
Workload simulation and scenario testing
We execute scripted workloads that replicate real user behaviour, sustained scrolling, background/foreground cycles, simultaneous network calls, and memory-intensive transitions, while simultaneously capturing CPU traces, memory heap snapshots, GPU frame timing, and battery current draw. Artificial test scenarios miss the multi-factor interactions that cause real-world lag.
Root cause analysis and allocation mapping
Using Xcode Instruments and Android Profiler, we trace performance issues to specific allocation sites, blocked main threads, inefficient layout passes, or leaking view controllers. We go beyond the symptom (jank, high memory) to the exact code path responsible, giving your engineers a precise fix rather than a directional guess.
Regression integration
We configure automated performance regression gates in your CI/CD pipeline, if cold start exceeds threshold or memory footprint grows above baseline, the build is flagged before it reaches QA. Performance is moved from a quarterly concern to a per-PR concern.
What you receive
Every engagement delivers a defined set of artefacts. No ambiguity about what you're buying.
Discuss scope| Deliverable | Description |
|---|---|
Performance baseline report | Cold start (p50/p95), warm start, memory baseline, and frame rate measurements per device and OS version. |
Profiling trace files | Xcode Instruments and Android Profiler traces for key journeys, importable by your engineers for deep-dive analysis. |
Memory leak register | Every identified allocation leak with the responsible object graph, severity classification, and suggested remediation. |
Battery drain analysis | Current draw under sustained workload, comparison against baseline, and identification of components with highest thermal contribution. |
CI performance gate config | Automated regression thresholds and pipeline configuration to catch performance regressions per pull request. |
| Tool | Category |
|---|---|
| Android Profiler | Android |
| Xcode Instruments | iOS |
| Firebase Performance | Production |
| Perfetto | System trace |
| HeadSpin | Real device perf |
Tools & technologies
We use the tools your team already knows where possible, and introduce specialist tooling where it provides accuracy or coverage advantages you can't get otherwise.
Engagement phases
What the engagement looks like from brief to delivery, so your team can plan sprint integration points from day one.
Baseline establishment
- Build provisioning and device matrix setup
- Cold/warm start capture across devices
- Memory and CPU baseline recording
Deep profiling
- Sustained workload scenarios
- Memory leak detection
- GPU frame timing and jank analysis
- Battery current draw profiling
Analysis & root cause
- Trace file analysis
- Allocation site mapping
- Regression candidate identification
Reporting & CI setup
- Performance report delivery
- CI performance gate configuration
- Engineering review session
Performance & Battery Testing, questions your team asks first
Mobile performance testing measures how fast, smooth, and resource-efficient an app feels to users, covering cold start times, scroll frame rates, memory usage, CPU load, battery consumption, and network resilience.
Memory leaks, unhandled exceptions on background threads, database lock contention, and coroutine/thread pool exhaustion are the most common causes. Our profiling identifies the specific allocation site or blocked operation responsible.
We run continuous workload sessions using the app's primary journeys (browse, search, checkout, stream) while profiling battery current draw via hardware-level monitoring on calibrated devices, comparing baseline vs. regression builds.
Google recommends cold start under 5 seconds for Android and Apple under 400ms for perceived-responsive launch. Our benchmarks show that apps with cold starts under 2 seconds have 18% higher Day-1 retention than those over 4 seconds.
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Learn moreDiscuss Performance & Battery Testing for your app
Talk to a test architect about your stack, release cadence, and the specific failure modes you're trying to prevent. We'll scope an engagement that fits your sprint cycle.