Since my questions were never answer and no replies during the group lab, I'm posting them here: When does vapor chamber cooling activate on the new iPhone 17 Pro devices? Does the system handle the cooling in those scenarios, can developer activate it? Does volume level affect performance/battery? Can you discuss bluetooth connections to AirPods Pro 3/AirPods Pro Max and impact on battery? Is there an API to detect thermal changes and what are UI changes that can reduce thermal impact when app is in background and foreground? Whats the best way to profile Power usage and battery drain when an application is processing, working in background and multimodal? Thank you.

I’m profiling a SwiftData app in Instruments. Most frames are symbolicated correctly but SwiftData frames appear only as addresses. 0x21ff2abd4 SwiftData 0x21ffb06c8 SwiftData 0x21ffb3064 SwiftData while surrounding frames are symbolicated, for example: __CFRunLoopDoObservers CoreFoundation stepTransactionFlush AppKit Attribute.syncMainIfReferences<A>(do:) SwiftUICore Is this expected, or should SwiftData symbols normally be visible here?

I'm joining the Ads iOS SDK team — our SDK is embedded in thousands of host apps. I want to understand the recommended approach for two performance challenges specific to embedded SDKs: what's the Instruments workflow for isolating our SDK's CPU and memory contribution from the host app's footprint, when we don't control or have access to the host app's source? are there any new APIs in iOS 27 that allow a third-party framework to declare or report its own performance budget to the host app, so developers can see SDK-level impact without custom instrumentation?

Hi all, I've hit a reproducible issue where the presence of the SwiftUI instrument in a template prevents any data from being recorded, including from the other instruments in the same template. Removing the SwiftUI instrument immediately restores normal recording. Environment Host: macOS 26.4.1 (25E253), Mac mini Xcode / Instruments 26.4.1 (17E202) Device: iPhone 17, iOS 26.4.2 (23E261) (physical device, USB-attached) Symptom Recording the same app, same device, same session, only varying the template contents: SwiftUI template (as-is) => All lanes empty across the entire recording Same template with the SwiftUI instrument removed => Data collected normally (Time Profiler samples, Hangs, etc.) So it seems not an issue with the SwiftUI lanes specifically being empty — including the SwiftUI instrument appears to silence the entire recording. Steps to reproduce Open Instruments → pick the SwiftUI template (or build a custom template that includes the SwiftUI instrument alongside, e.g., Time Profiler). Target the device, attach to the running app. Record for ~10s, interact with the app. Stop. Result: every lane is empty. Edit the template, remove the SwiftUI instrument, re-record with no other changes. Result: normal data appears in the remaining instruments. Questions Is this a known regression in Instruments 26.4.1 on iOS 26.4.x? Is there a workaround to use the SwiftUI instrument on this OS combo (different Xcode build, runtime flag, entitlement)? Does it work for anyone on iOS 26.4.x + Xcode 26.4.1, or is everyone seeing this? I can file a Feedback if confirmed as a bug — wanted to check here first in case I'm missing a setup step. Thanks!

I tried using Create ML of Xcode 26.0 beta 7 to generate a model using the "Word Tagging" template, and I received the error: Training progress unavailable - Unexpected error. Using Create ML of XCode 16.4 with the same documentation, I was able to build the model and use it in a test app. I'd like to understand why Create ML of Xcode 26 no longer works.

What about a studio rendering audio interface with airpods max, when linked has a usb-c*thunderbolt's cable. Them can bring Use and Space at utility. +can bring 32 bits dept into sound edit +can bring Audio Spatialisation +and a bunch of codecs to encode ogg capabilties or atmos/dtsX fidelity -since the latency became minimalist at bluetooth 6.0, a think could look forward about cableless capability upforth.

Hi Apple Developer Technical Support Team, I hope this message finds you well. I am writing to seek urgent clarification on a profiling question that is directly impacting our SDK customers. Context We provide an iOS SDK that is integrated into third-party applications. Our SDK includes a background monitoring thread created via: -[NSObject performSelectorInBackground:withObject:] As documented, threads created through this API carry a default (relatively low) scheduling priority. Inside the thread, we call sleep(1) once per second for periodic idle intervals, and we collect CPU usage metrics using kernel APIs: • task_threads() • thread_info() Both calls involve kernel-level operations and are known to trigger context switches internally. The Core Issue — Customer Misinterpretation When our customers profile their apps using Instruments with "Context Switch Sampling" enabled, they observe that our SDK thread shows a large proportion of time labeled as "Runnable" and "Blocked". A representative example: • Total (wall clock): 4.30 s — 100% • Runnable: 3.06 s — 71.4% ← customers flag this as high CPU usage • Blocked: 1.05 s — 24.5% • Running: 176 ms — 4.1% ⚠️ Our customers are interpreting the "Runnable" time (71.4%) as CPU consumption by our SDK, and are raising concerns that our SDK is degrading their app's performance. We strongly believe this interpretation is incorrect — a thread in the "Runnable" state is merely waiting in the scheduler's ready queue and has NOT been assigned to any CPU core, therefore it should NOT consume any CPU resources. However, we need an official confirmation from Apple to address our customers' concerns definitively. Our Questions Do the time values shown next to "Runnable" and "Blocked" in the Time Profiler call tree represent wall-clock waiting time (i.e., time spent in that state), or actual CPU consumption time? Does a thread in the "Runnable" state consume any CPU resources on the device? We want to confirm clearly: does Runnable time contribute to CPU load or battery drain in any way? Is it correct that the high Runnable time observed is caused by the combination of: a. The low thread scheduling priority assigned by performSelectorInBackground:withObject:, and b. Context switch overhead introduced by the task_threads() and thread_info() kernel calls? Is there any official Apple documentation that explicitly describes the semantics of "Runnable" and "Blocked" time in Instruments, which we could reference when communicating with our customers? An authoritative answer from Apple would allow us to accurately explain the profiling data to our customers and clarify that the high "Runnable" time does NOT represent CPU consumption by our SDK. Thank you very much for your time and support. Best regards

Hi Apple Developer Technical Support Team, I hope this message finds you well. I am writing to seek urgent clarification on a profiling question that is directly impacting our SDK customers. Context We provide an iOS SDK that is integrated into third-party applications. Our SDK includes a background monitoring thread created via: -[NSObject performSelectorInBackground:withObject:] As documented, threads created through this API carry a default (relatively low) scheduling priority. Inside the thread, we call sleep(1) once per second for periodic idle intervals, and we collect CPU usage metrics using kernel APIs: • task_threads() • thread_info() Both calls involve kernel-level operations and are known to trigger context switches internally. The Core Issue — Customer Misinterpretation When our customers profile their apps using Instruments with "Context Switch Sampling" enabled, they observe that our SDK thread shows a large proportion of time labeled as "Runnable" and "Blocked". A representative example: • Total (wall clock): 4.30 s — 100% • Runnable: 3.06 s — 71.4% ← customers flag this as high CPU usage • Blocked: 1.05 s — 24.5% • Running: 176 ms — 4.1% ⚠️ Our customers are interpreting the "Runnable" time (71.4%) as CPU consumption by our SDK, and are raising concerns that our SDK is degrading their app's performance. We strongly believe this interpretation is incorrect — a thread in the "Runnable" state is merely waiting in the scheduler's ready queue and has NOT been assigned to any CPU core, therefore it should NOT consume any CPU resources. However, we need an official confirmation from Apple to address our customers' concerns definitively. Our Questions Do the time values shown next to "Runnable" and "Blocked" in the Time Profiler call tree represent wall-clock waiting time (i.e., time spent in that state), or actual CPU consumption time? Does a thread in the "Runnable" state consume any CPU resources on the device? We want to confirm clearly: does Runnable time contribute to CPU load or battery drain in any way? Is it correct that the high Runnable time observed is caused by the combination of: a. The low thread scheduling priority assigned by performSelectorInBackground:withObject:, and b. Context switch overhead introduced by the task_threads() and thread_info() kernel calls? Is there any official Apple documentation that explicitly describes the semantics of "Runnable" and "Blocked" time in Instruments, which we could reference when communicating with our customers? An authoritative answer from Apple would allow us to accurately explain the profiling data to our customers and clarify that the high "Runnable" time does NOT represent CPU consumption by our SDK. Thank you very much for your time and support. Best regards

Subject: [SDK / Instruments] Clarification on Runnable & Blocked Time Semantics — Customers Misinterpreting as CPU Usage Hi Apple Developer Technical Support Team, I hope this message finds you well. I am writing to seek urgent clarification on a profiling question that is directly impacting our SDK customers. Context We provide an iOS SDK that is integrated into third-party applications. Our SDK includes a background monitoring thread created via: -[NSObject performSelectorInBackground:withObject:] As documented, threads created through this API carry a default (relatively low) scheduling priority. Inside the thread, we call sleep(1) once per second for periodic idle intervals, and we collect CPU usage metrics using kernel APIs: • task_threads() • thread_info() Both calls involve kernel-level operations and are known to trigger context switches internally. The Core Issue — Customer Misinterpretation When our customers profile their apps using Instruments with "Context Switch Sampling" enabled, they observe that our SDK thread shows a large proportion of time labeled as "Runnable" and "Blocked". A representative example: • Total (wall clock): 4.30 s — 100% • Runnable: 3.06 s — 71.4% ← customers flag this as high CPU usage • Blocked: 1.05 s — 24.5% • Running: 176 ms — 4.1% ⚠️ Our customers are interpreting the "Runnable" time (71.4%) as CPU consumption by our SDK, and are raising concerns that our SDK is degrading their app's performance. We strongly believe this interpretation is incorrect — a thread in the "Runnable" state is merely waiting in the scheduler's ready queue and has NOT been assigned to any CPU core, therefore it should NOT consume any CPU resources. However, we need an official confirmation from Apple to address our customers' concerns definitively. Our Questions Do the time values shown next to "Runnable" and "Blocked" in the Time Profiler call tree represent wall-clock waiting time (i.e., time spent in that state), or actual CPU consumption time? Does a thread in the "Runnable" state consume any CPU resources on the device? We want to confirm clearly: does Runnable time contribute to CPU load or battery drain in any way? Is it correct that the high Runnable time observed is caused by the combination of: a. The low thread scheduling priority assigned by performSelectorInBackground:withObject:, and b. Context switch overhead introduced by the task_threads() and thread_info() kernel calls? Is there any official Apple documentation that explicitly describes the semantics of "Runnable" and "Blocked" time in Instruments, which we could reference when communicating with our customers? An authoritative answer from Apple would allow us to accurately explain the profiling data to our customers and clarify that the high "Runnable" time does NOT represent CPU consumption by our SDK. Thank you very much for your time and support. Best regards

Enabled processor trace on my mac and other types of profiler work fine. However, Processor Trace keeps showing nothing and I see the error "Failed to stop recording session. Failed stoping ktrace session" How to solve this?

When creating an icon using icon composer, I cant upload a build to testflight/App Store connect. Running on device from Xcode works fine, but as soon as I archive and upload to App Store Connect, I get an error saying the icon contains an alpha channel

I’m reporting a severe reproducible issue in Instruments, specifically when using the SwiftUI instrument and opening Show Cause & Effect Graph. What happens: • Instruments becomes extremely laggy/unresponsive • The graph/detail area can turn solid magenta/pink • Memory usage rapidly increases (I observed around 18 GB, 25 GB, and up to 34 GB) • My Mac has crashed/restarted during this, or in other terms, had a kernel panic, where my Mac froze, and everything unresponsive. The Trackpad wouldn't even click. Important detail: • I could not find a generated kernel panic log after the crash/restart. Repro context: • SwiftUI iOS app profiled from Xcode • Trigger is specifically entering Show Cause & Effect Graph • Recordings can be short and still trigger it • Issue is much less severe or absent if I avoid that view What I already tried: • Rebooting • Short captures / fewer instruments • Clearing Xcode/Instruments caches/preferences • Retesting after cleanup • Reinstalling Xcode Is this a known Instruments regression? Is there a workaround besides avoiding Show Cause & Effect Graph? What exact diagnostics should I collect when no kernel panic file is generated? Specs: Xcode Version 26.3 (17C529) Instruments Version 26.3 (17C529) macOS Version 26.4 Beta (25E5223i) MacBook Pro 13-inch, M1, 2020, 16 GB RAM

Is it possible to change the order of Cards in a Trends/Units screen like that (in a such order): Free In-App Paid Free iOS/watchOS/tvOS Free macOS In-App iOS/tvOS In-App macOS Paid iOS/watchOS/tvOS Paid macOS

Instruments is crashing when the swiftui instrument is stopped (the session is finished) and the transfer begins from device to device: Crashed Thread: 11 Dispatch queue: com.apple.swiftuitracingsupport.reading Exception Type: EXC_BAD_INSTRUCTION (SIGILL) Exception Codes: 0x0000000000000001, 0x0000000000000000 Termination Reason: Namespace SIGNAL, Code 4 Illegal instruction: 4 Terminating Process: exc handler [1633] I've tried removing derived data, reinstalling xcode, updating xcode (I originally thought this might be the issue -- I needed to update to 26.2 from the 26 RC -- the update didn't fix crash or change the crash report), and restarting both devices. I'm running Instruments/Xcode 26.2 on a MacBook Pro 15" (2018) running Mac OS 15.7.2 (24G325) with an iPhone 16 Pro Max running 26.2. Hoping someone else might have seen this or could help me troubleshoot. I find the swiftui instrument be helpful and like to use it :) I can post a complete crash report as well.

I am trying to run the SwiftUI instruments tool for an iOS app and every time I run it, it either switches from giving me the "Time Profiler: Time Profiler does not support the iOS platform" error, or I end up with no data at all; however, when I run just the Time Profiler by itself it works fine. I am running this on a physical device

Hi everyone, I am developing a benchmarking tool to measure memory latency (L1/L2/DRAM) on Apple Silicon. I am currently using Xcode Instruments (CPU Counters) to validate my results. In my latest run for a 128 MB buffer with random access, Instruments shows: Latency (cycles): ~259 cycles (derived from LDST_UNIT_OLD_L1D_CACHE_MISS / L1D_CACHE_MISS_LD). Manual Timer Result: ~80 ns. To correlate these two values, I need the exact CPU Frequency (GHz) at the time of the sample. My Questions: Is there a recommended way to programmatically fetch the current frequency of the Performance cores (p-cores) during a benchmark run? Does Apple provide a "nominal" frequency value for M-series chips that we should use for cycle-to-nanosecond conversions? In Instruments, is there a hidden counter or "Average Frequency" metric that I can enable to avoid manual math? Hardware/Software Environment: Tool: Instruments 26.3+ (CPU Counters Template). Chip: A19, iPhone 17 pro. OS: 26.3.

When I try to run dtruss on a command line program (freshclam) I see: $ sudo dtruss -a /usr/local/bin/freshclam 2>&1 | tee ~/tmp/dtruss.out dtrace: system integrity protection is on, some features will not be available dtrace: failed to execute /usr/local/bin/freshclam: DTrace cannot instrument translated processes I did some research and found advice on how to enable dtrace use via running: csrutil enable --without dtrace in a terminal running in macOS recovery mode. When I do that I see a warning saying this is an unsupported configuration and that it will allow unsigned kernel modules to be loaded. This is not what I want, I just want to run dtruss on a program while keeping all the other SIP protections in place. Why can't I just use sudo to grant the privileges for dtrace to work? All of this has me wondering if Apple intends for developers to use dtruss/dtrace in the current macOS?

Hi everyone, I’m developing a cross-platform mobile app (React Native) but I don’t currently own a Mac. What is the most reliable and professional way to: Build the iOS version Test it properly (real device / TestFlight) Upload it to the App Store Are cloud Mac services (like MacinCloud, AWS Mac, etc.) considered stable for production release workflows? Is there any fully supported workflow without direct access to a physical Mac? Would appreciate real-world experience from developers who faced the same situation. Thanks in advance.

what is the diff between INST_ALL and Instructions(FIXED_INSTRUCTIONS)? also CORE_ACTIVE_CYCLE VS Cycles(FIXED_CYCLES)

Hiya folks! I'm David and I work on rust-analyzer, which is a language server for Rust similar to sourcekit-lsp. I'm using the new Instruments profiling tooling functionality in Xcode 16.3 and Xcode 26 (Processor Trace and CPU Counters) to profile our trait solver/type checker. While I've been able to use the new CPU Counters instrument successfully (the CPU Bottleneck feature is incredible! Props to the team!), I've been unable to make use of the Processor Trace instrument. Instruments gives me the error message "Processor Trace cannot profile this process without proper permissions". The diagnostic suggests adding the com.apple.security-get-task-allow entitlement to the code I'm trying to profile, or ensure that the build setting CODE_SIGN_INJECT_BASE_ENTITLEMENTS = YES is enabled in Xcode. Unfortunately, I don't know how I can add that entitlement to a self-signed binary produced by Cargo and I'm not using Xcode for somewhat obvious reasons. Here's some information about my setup: Instruments Version 26.0 (17A5241e) I'm on an 14" MacBook Pro with M4 Pro. It's running macOS Version 26.0 Beta (25A5295e). I've enabled the "Processor Trace" feature in "Developer Tools" and even added the Instruments application to "Developer Tools". As a last-ditch effort before posting this, I disabled SIP on my Mac. Didn't help. To reproduce my issue: Get Rust via https://rustup.rs/. Clone rust-analyzer: git clone https://github.com/rust-lang/rust-analyzer.git. cd rust-analyzer Run cargo test --package hir-ty --lib --profile=dev-rel -- tests::incremental::add_struct_invalidates_trait_solve --exact --show-output. By default, this command will output a bunch of build progress with the output containing something like Running unittests src/lib.rs (target/dev-rel/deps/hir_ty-f1dbf1b1d36575fe). I take the absolute path of that hir_ty-$SOME-HASH string (in my case, it looks like /Users/dbarsky/Developer/rust-analyzer/target/dev-rel/deps/hir_ty-f1dbf1b1d36575fe) and add it to the "Launch" profile. To the arguments section, I add --exact tests::incremental::add_struct_invalidates_trait_solve. I then try to record/profile via Instruments, but then I get the error message I shared above. Below is output of codesign -dvvv: ❯ codesign -dvvv target/dev-rel/deps/hir_ty-f1dbf1b1d36575fe Executable=/Users/dbarsky/Developer/rust-analyzer/target/dev-rel/deps/hir_ty-f1dbf1b1d36575fe Identifier=hir_ty-f1dbf1b1d36575fe Format=Mach-O thin (arm64) CodeDirectory v=20400 size=140368 flags=0x20002(adhoc,linker-signed) hashes=4383+0 location=embedded Hash type=sha256 size=32 CandidateCDHash sha256=99e96c8622c7e20518617c66a7d4144dc0daef28 CandidateCDHashFull sha256=99e96c8622c7e20518617c66a7d4144dc0daef28f22fac013c28a784571ce1df Hash choices=sha256 CMSDigest=99e96c8622c7e20518617c66a7d4144dc0daef28f22fac013c28a784571ce1df CMSDigestType=2 CDHash=99e96c8622c7e20518617c66a7d4144dc0daef28 Signature=adhoc Info.plist=not bound TeamIdentifier=not set Sealed Resources=none Internal requirements=none Any tips would be welcome! Additionally—and perhaps somewhat naively—I think I'd expect the Processor Trace instrument to just work with an adhoc-signed binary, as lldb and friends largely do—I'm not sure that such a high barrier for CPU perf counters is warranted, especially on an adhoc-signed binary.