feat: Add Apple Silicon GPU support via IOReport API

Add GPU monitoring for Apple Silicon Macs using the IOReport framework
and IOHIDEventSystem for temperature readings.

Metrics supported:
- GPU utilization (from GPU Performance States residency)
- GPU power consumption (from Energy Model channel)
- GPU temperature (from IOHIDEventSystem thermal sensors)
- GPU clock speed (from DVFS frequency table + residency weighting)
- Memory usage (unified memory architecture, reports system RAM)

Implementation follows the existing Nvml/Rsmi/Intel backend pattern with
init/shutdown/collect<is_init> template functions in a new AppleSilicon
namespace under Gpu.

Build system changes:
- Enable GPU_SUPPORT on macOS in both CMakeLists.txt and Makefile
- Link IOReport library on macOS
- Add 'apple' to shown_gpus vendor filter

Closes #955

CMakeLists.txt

@@ -198,6 +198,11 @@ if(BTOP_STATIC)
   target_link_options(libbtop PUBLIC -static LINKER:--fatal-warnings)
 endif()
 
+# Enable GPU support on Apple Silicon
+if(APPLE AND BTOP_GPU)
+  target_compile_definitions(libbtop PUBLIC GPU_SUPPORT)
+endif()
+
 # Other platform dependent flags
 if(APPLE)
   target_link_libraries(libbtop

Makefile

@@ -43,6 +43,9 @@ ifeq ($(PLATFORM_LC)$(ARCH),linuxx86_64)
 		INTEL_GPU_SUPPORT := true
 	endif
 endif
+ifeq ($(PLATFORM_LC),macos)
+	GPU_SUPPORT := true
+endif
 ifneq ($(GPU_SUPPORT),true)
 	GPU_SUPPORT := false
 endif
@@ -115,7 +118,7 @@ else ifeq ($(PLATFORM_LC),$(filter $(PLATFORM_LC),freebsd midnightbsd))
 else ifeq ($(PLATFORM_LC),macos)
 	PLATFORM_DIR := osx
 	THREADS	:= $(shell sysctl -n hw.ncpu || echo 1)
-	override ADDFLAGS += -framework IOKit -framework CoreFoundation -Wno-format-truncation
+	override ADDFLAGS += -framework IOKit -framework CoreFoundation -lIOReport -Wno-format-truncation
 	SU_GROUP := wheel
 else ifeq ($(PLATFORM_LC),openbsd)
 	PLATFORM_DIR := openbsd

src/btop.cpp

@@ -231,6 +231,7 @@ void clean_quit(int sig) {
 #ifdef GPU_SUPPORT
 	Gpu::Nvml::shutdown();
 	Gpu::Rsmi::shutdown();
+	Gpu::AppleSilicon::shutdown();
 #endif
 
 

src/btop_config.cpp

@@ -239,7 +239,7 @@ namespace Config {
 		{"rsmi_measure_pcie_speeds",
 								"#* Measure PCIe throughput on AMD cards, may impact performance on certain cards."},
 		{"gpu_mirror_graph",	"#* Horizontally mirror the GPU graph."},
-		{"shown_gpus",			"#* Set which GPU vendors to show. Available values are \"nvidia amd intel\""},
+		{"shown_gpus",			"#* Set which GPU vendors to show. Available values are \"nvidia amd intel apple\""},
 		{"custom_gpu_name0",	"#* Custom gpu0 model name, empty string to disable."},
 		{"custom_gpu_name1",	"#* Custom gpu1 model name, empty string to disable."},
 		{"custom_gpu_name2",	"#* Custom gpu2 model name, empty string to disable."},
@@ -288,7 +288,7 @@ namespace Config {
 		{"custom_gpu_name4", ""},
 		{"custom_gpu_name5", ""},
 		{"show_gpu_info", "Auto"},
-		{"shown_gpus", "nvidia amd intel"}
+		{"shown_gpus", "nvidia amd intel apple"}
 	#endif
 	};
 	std::unordered_map<std::string_view, string> stringsTmp;

src/btop_shared.hpp

@@ -183,6 +183,9 @@ namespace Gpu {
 	namespace Rsmi {
 		extern bool shutdown();
 	}
+	namespace AppleSilicon {
+		extern bool shutdown();
+	}
 
 	//* Collect gpu stats and temperatures
     auto collect(bool no_update = false) -> vector<gpu_info>&;

src/osx/btop_collect.cpp

@@ -68,6 +68,49 @@ tab-size = 4
 #endif
 #include "smc.hpp"
 
+#if defined(GPU_SUPPORT)
+#include <dlfcn.h>
+#include <mach/mach_time.h>
+
+//? IOReport C function declarations for Apple Silicon GPU metrics
+extern "C" {
+	typedef struct IOReportSubscription* IOReportSubscriptionRef;
+
+	CFDictionaryRef IOReportCopyChannelsInGroup(CFStringRef group, CFStringRef subgroup,
+		uint64_t a, uint64_t b, uint64_t c);
+	void IOReportMergeChannels(CFDictionaryRef a, CFDictionaryRef b, CFTypeRef cfnull);
+	IOReportSubscriptionRef IOReportCreateSubscription(void* a, CFMutableDictionaryRef b,
+		CFMutableDictionaryRef* c, uint64_t d, CFTypeRef cfnull);
+	CFDictionaryRef IOReportCreateSamples(IOReportSubscriptionRef sub,
+		CFMutableDictionaryRef chan, CFTypeRef cfnull);
+	CFDictionaryRef IOReportCreateSamplesDelta(CFDictionaryRef a, CFDictionaryRef b, CFTypeRef cfnull);
+	CFStringRef IOReportChannelGetGroup(CFDictionaryRef item);
+	CFStringRef IOReportChannelGetSubGroup(CFDictionaryRef item);
+	CFStringRef IOReportChannelGetChannelName(CFDictionaryRef item);
+	int64_t IOReportSimpleGetIntegerValue(CFDictionaryRef item, int32_t idx);
+	CFStringRef IOReportChannelGetUnitLabel(CFDictionaryRef item);
+	int32_t IOReportStateGetCount(CFDictionaryRef item);
+	CFStringRef IOReportStateGetNameForIndex(CFDictionaryRef item, int32_t idx);
+	int64_t IOReportStateGetResidency(CFDictionaryRef item, int32_t idx);
+
+	//? IOHIDEvent declarations for GPU temperature
+	typedef struct __IOHIDEvent* IOHIDEventRef;
+	typedef struct __IOHIDServiceClient* IOHIDServiceClientRef;
+	typedef struct __IOHIDEventSystemClient* IOHIDEventSystemClientRef;
+	#ifdef __LP64__
+	typedef double IOHIDFloat;
+	#else
+	typedef float IOHIDFloat;
+	#endif
+	IOHIDEventSystemClientRef IOHIDEventSystemClientCreate(CFAllocatorRef allocator);
+	int IOHIDEventSystemClientSetMatching(IOHIDEventSystemClientRef client, CFDictionaryRef match);
+	CFArrayRef IOHIDEventSystemClientCopyServices(IOHIDEventSystemClientRef client);
+	IOHIDEventRef IOHIDServiceClientCopyEvent(IOHIDServiceClientRef sc, int64_t type, int32_t a, int64_t b);
+	CFStringRef IOHIDServiceClientCopyProperty(IOHIDServiceClientRef service, CFStringRef property);
+	IOHIDFloat IOHIDEventGetFloatValue(IOHIDEventRef event, int32_t field);
+}
+#endif // GPU_SUPPORT
+
 #if __MAC_OS_X_VERSION_MIN_REQUIRED < 120000
 #define kIOMainPortDefault kIOMasterPortDefault
 #endif
@@ -115,6 +158,457 @@ namespace Mem {
 	double old_uptime;
 }
 
+#if defined(GPU_SUPPORT)
+namespace Gpu {
+	vector<gpu_info> gpus;
+
+	//? Stub shutdown for backends not available on macOS
+	namespace Nvml { bool shutdown() { return false; } }
+	namespace Rsmi { bool shutdown() { return false; } }
+
+	//? Apple Silicon GPU data collection via IOReport
+	namespace AppleSilicon {
+		bool initialized = false;
+		unsigned int device_count = 0;
+
+		//? Forward declaration
+		template <bool is_init>
+		bool collect(gpu_info* gpus_slice);
+
+		//? IOReport subscription state
+		IOReportSubscriptionRef ior_sub = nullptr;
+		CFMutableDictionaryRef ior_chan = nullptr;
+		CFDictionaryRef prev_sample = nullptr;
+		uint64_t prev_sample_time = 0;
+
+		//? GPU frequency table from DVFS
+		vector<uint32_t> gpu_freqs;
+
+		static string cfstring_to_string(CFStringRef cfstr) {
+			if (not cfstr) return "";
+			char buf[256];
+			if (CFStringGetCString(cfstr, buf, sizeof(buf), kCFStringEncodingUTF8))
+				return string(buf);
+			return "";
+		}
+
+		static string get_chip_name() {
+			char buf[256];
+			size_t size = sizeof(buf);
+			if (sysctlbyname("machdep.cpu.brand_string", buf, &size, nullptr, 0) == 0)
+				return string(buf);
+			return "Apple Silicon GPU";
+		}
+
+		static uint64_t get_mach_time_ms() {
+			static mach_timebase_info_data_t timebase = {0, 0};
+			if (timebase.denom == 0) mach_timebase_info(&timebase);
+			return (mach_absolute_time() * timebase.numer / timebase.denom) / 1000000;
+		}
+
+		//? Read GPU DVFS frequency table from IORegistry pmgr node
+		static void get_gpu_freqs_from_pmgr() {
+			io_iterator_t iter;
+			CFMutableDictionaryRef matchDict = IOServiceMatching("AppleARMIODevice");
+			if (IOServiceGetMatchingServices(kIOMainPortDefault, matchDict, &iter) != kIOReturnSuccess)
+				return;
+
+			io_object_t entry;
+			while ((entry = IOIteratorNext(iter)) != 0) {
+				char name[128];
+				if (IORegistryEntryGetName(entry, name) == kIOReturnSuccess and string(name) == "pmgr") {
+					CFMutableDictionaryRef props = nullptr;
+					if (IORegistryEntryCreateCFProperties(entry, &props, kCFAllocatorDefault, 0) == kIOReturnSuccess and props) {
+						CFDataRef dvfs_data = (CFDataRef)CFDictionaryGetValue(props, CFSTR("voltage-states9"));
+						if (dvfs_data) {
+							auto len = CFDataGetLength(dvfs_data);
+							auto ptr = CFDataGetBytePtr(dvfs_data);
+							//? Pairs of (freq, voltage), 4 bytes each
+							for (CFIndex i = 0; i + 7 < len; i += 8) {
+								uint32_t freq = 0;
+								memcpy(&freq, ptr + i, 4);
+								if (freq > 0) gpu_freqs.push_back(freq / (1000 * 1000)); // Hz -> MHz
+							}
+						}
+						CFRelease(props);
+					}
+				}
+				IOObjectRelease(entry);
+			}
+			IOObjectRelease(iter);
+		}
+
+		bool init() {
+			if (initialized) return false;
+
+			//? Get GPU frequency table
+			get_gpu_freqs_from_pmgr();
+
+			//? Set up IOReport channels for GPU Stats and Energy Model
+			CFStringRef gpu_stats_group = CFStringCreateWithCString(kCFAllocatorDefault, "GPU Stats", kCFStringEncodingUTF8);
+			CFStringRef gpu_perf_subgroup = CFStringCreateWithCString(kCFAllocatorDefault, "GPU Performance States", kCFStringEncodingUTF8);
+			CFStringRef energy_group = CFStringCreateWithCString(kCFAllocatorDefault, "Energy Model", kCFStringEncodingUTF8);
+
+			CFDictionaryRef gpu_chan = IOReportCopyChannelsInGroup(gpu_stats_group, gpu_perf_subgroup, 0, 0, 0);
+			CFDictionaryRef energy_chan = IOReportCopyChannelsInGroup(energy_group, nullptr, 0, 0, 0);
+
+			CFRelease(gpu_stats_group);
+			CFRelease(gpu_perf_subgroup);
+			CFRelease(energy_group);
+
+			if (not gpu_chan and not energy_chan) {
+				Logger::info("Apple Silicon GPU: No IOReport channels found, GPU monitoring unavailable");
+				return false;
+			}
+
+			//? Merge channels into a single subscription
+			if (gpu_chan and energy_chan) {
+				IOReportMergeChannels(gpu_chan, energy_chan, nullptr);
+			}
+			CFDictionaryRef base_chan = gpu_chan ? gpu_chan : energy_chan;
+
+			auto size = CFDictionaryGetCount(base_chan);
+			ior_chan = CFDictionaryCreateMutableCopy(kCFAllocatorDefault, size, base_chan);
+			if (gpu_chan) CFRelease(gpu_chan);
+			if (energy_chan and energy_chan != base_chan) CFRelease(energy_chan);
+
+			//? Create IOReport subscription
+			CFMutableDictionaryRef sub_dict = nullptr;
+			ior_sub = IOReportCreateSubscription(nullptr, ior_chan, &sub_dict, 0, nullptr);
+			if (not ior_sub) {
+				Logger::warning("Apple Silicon GPU: Failed to create IOReport subscription");
+				CFRelease(ior_chan);
+				ior_chan = nullptr;
+				return false;
+			}
+
+			device_count = 1; //? Apple Silicon has one integrated GPU
+			gpus.resize(gpus.size() + device_count);
+			gpu_names.resize(gpu_names.size() + device_count);
+
+			initialized = true;
+
+			//? Take initial sample for delta computation
+			prev_sample = IOReportCreateSamples(ior_sub, ior_chan, nullptr);
+			prev_sample_time = get_mach_time_ms();
+
+			//? Run init collect to populate names and supported functions
+			collect<1>(gpus.data());
+
+			return true;
+		}
+
+		bool shutdown() {
+			if (not initialized) return false;
+			if (prev_sample) { CFRelease(prev_sample); prev_sample = nullptr; }
+			if (ior_chan) { CFRelease(ior_chan); ior_chan = nullptr; }
+			if (ior_sub) { CFRelease((CFTypeRef)ior_sub); ior_sub = nullptr; }
+			initialized = false;
+			return true;
+		}
+
+		//? Read GPU temperature via IOHIDEventSystem thermal sensors
+		static long long get_gpu_temp_iohid() {
+			#if __MAC_OS_X_VERSION_MIN_REQUIRED > 101504
+			constexpr int kHIDPage_AppleVendor = 0xff00;
+			constexpr int kHIDUsage_TemperatureSensor = 5;
+			constexpr int64_t kIOHIDEventTypeTemperature = 15;
+
+			CFNumberRef nums[2];
+			CFStringRef keys[2];
+			keys[0] = CFSTR("PrimaryUsagePage");
+			keys[1] = CFSTR("PrimaryUsage");
+			int page = kHIDPage_AppleVendor, usage = kHIDUsage_TemperatureSensor;
+			nums[0] = CFNumberCreate(nullptr, kCFNumberSInt32Type, &page);
+			nums[1] = CFNumberCreate(nullptr, kCFNumberSInt32Type, &usage);
+			CFDictionaryRef match = CFDictionaryCreate(nullptr,
+				(const void**)keys, (const void**)nums, 2,
+				&kCFTypeDictionaryKeyCallBacks, &kCFTypeDictionaryValueCallBacks);
+			CFRelease(nums[0]);
+			CFRelease(nums[1]);
+
+			auto system = IOHIDEventSystemClientCreate(kCFAllocatorDefault);
+			if (not system) { CFRelease(match); return -1; }
+			IOHIDEventSystemClientSetMatching(system, match);
+			CFArrayRef services = IOHIDEventSystemClientCopyServices(system);
+			CFRelease(match);
+
+			if (not services) { CFRelease(system); return -1; }
+
+			double gpu_temp_sum = 0;
+			int gpu_temp_count = 0;
+			long count = CFArrayGetCount(services);
+			for (long i = 0; i < count; i++) {
+				auto sc = (IOHIDServiceClientRef)CFArrayGetValueAtIndex(services, i);
+				if (not sc) continue;
+				CFStringRef name = IOHIDServiceClientCopyProperty(sc, CFSTR("Product"));
+				if (not name) continue;
+				char buf[200];
+				CFStringGetCString(name, buf, 200, kCFStringEncodingASCII);
+				string n(buf);
+				CFRelease(name);
+				//? "GPU MTR Temp Sensor" is the standard Apple Silicon GPU temp sensor name
+				if (n.find("GPU") != string::npos) {
+					auto event = IOHIDServiceClientCopyEvent(sc, kIOHIDEventTypeTemperature, 0, 0);
+					if (event) {
+						double temp = IOHIDEventGetFloatValue(event, kIOHIDEventTypeTemperature << 16);
+						if (temp > 0 and temp < 150) {
+							gpu_temp_sum += temp;
+							gpu_temp_count++;
+						}
+						CFRelease(event);
+					}
+				}
+			}
+			CFRelease(services);
+			CFRelease(system);
+
+			if (gpu_temp_count > 0)
+				return static_cast<long long>(round(gpu_temp_sum / gpu_temp_count));
+			#endif
+			return -1;
+		}
+
+		template <bool is_init>
+		bool collect(gpu_info* gpus_slice) {
+			if (not initialized) return false;
+
+			if constexpr (is_init) {
+				//? Device name
+				string chip = get_chip_name();
+				gpu_names[0] = chip + " GPU";
+
+				//? Power max (typical Apple Silicon GPU TDP ~15-20W)
+				gpus_slice[0].pwr_max_usage = 20000; // 20W in mW
+				gpu_pwr_total_max += gpus_slice[0].pwr_max_usage;
+
+				//? Temperature max
+				gpus_slice[0].temp_max = 110;
+
+				//? Memory total (unified memory architecture — GPU shares system RAM)
+				int64_t memsize = 0;
+				size_t size = sizeof(memsize);
+				if (sysctlbyname("hw.memsize", &memsize, &size, nullptr, 0) == 0)
+					gpus_slice[0].mem_total = memsize;
+
+				//? Supported functions
+				gpus_slice[0].supported_functions = {
+					.gpu_utilization = true,
+					.mem_utilization = true,
+					.gpu_clock = not gpu_freqs.empty(),
+					.mem_clock = false,
+					.pwr_usage = true,
+					.pwr_state = false,
+					.temp_info = true,
+					.mem_total = true,
+					.mem_used = true,
+					.pcie_txrx = false,
+					.encoder_utilization = false,
+					.decoder_utilization = false
+				};
+			}
+
+			//? Take new IOReport sample and compute delta
+			CFDictionaryRef cur_sample = IOReportCreateSamples(ior_sub, ior_chan, nullptr);
+			if (not cur_sample) return false;
+
+			uint64_t cur_time = get_mach_time_ms();
+			uint64_t dt = cur_time - prev_sample_time;
+			if (dt == 0) dt = 1;
+
+			CFDictionaryRef delta = nullptr;
+			if (prev_sample) {
+				delta = IOReportCreateSamplesDelta(prev_sample, cur_sample, nullptr);
+				CFRelease(prev_sample);
+			}
+			prev_sample = cur_sample;
+			prev_sample_time = cur_time;
+
+			if (not delta) return false;
+
+			//? Parse delta samples
+			CFArrayRef channels = (CFArrayRef)CFDictionaryGetValue(delta, CFSTR("IOReportChannels"));
+			if (not channels) { CFRelease(delta); return false; }
+
+			long long gpu_utilization = 0;
+			bool got_gpu_util = false;
+			double gpu_power_watts = 0;
+			bool got_gpu_power = false;
+
+			long chan_count = CFArrayGetCount(channels);
+			for (long i = 0; i < chan_count; i++) {
+				CFDictionaryRef item = (CFDictionaryRef)CFArrayGetValueAtIndex(channels, i);
+				if (not item) continue;
+
+				string group = cfstring_to_string(IOReportChannelGetGroup(item));
+				string subgroup = cfstring_to_string(IOReportChannelGetSubGroup(item));
+				string channel = cfstring_to_string(IOReportChannelGetChannelName(item));
+
+				//? GPU utilization from residency states
+				if (group == "GPU Stats" and subgroup == "GPU Performance States" and channel == "GPUPH") {
+					int32_t state_count = IOReportStateGetCount(item);
+					if (state_count <= 0) continue;
+
+					int64_t total_residency = 0;
+					int64_t active_residency = 0;
+					double weighted_freq = 0;
+
+					//? Find offset past IDLE/OFF/DOWN states
+					int offset = 0;
+					for (int32_t s = 0; s < state_count; s++) {
+						string name = cfstring_to_string(IOReportStateGetNameForIndex(item, s));
+						if (name == "IDLE" or name == "OFF" or name == "DOWN")
+							offset = s + 1;
+						total_residency += IOReportStateGetResidency(item, s);
+					}
+
+					int freq_count = static_cast<int>(gpu_freqs.size());
+					for (int32_t s = offset; s < state_count; s++) {
+						int64_t res = IOReportStateGetResidency(item, s);
+						active_residency += res;
+						int freq_idx = s - offset;
+						if (freq_idx < freq_count and active_residency > 0)
+							weighted_freq += static_cast<double>(res) * gpu_freqs[freq_idx];
+					}
+
+					if (total_residency > 0) {
+						double usage_ratio = static_cast<double>(active_residency) / static_cast<double>(total_residency);
+						gpu_utilization = clamp(static_cast<long long>(round(usage_ratio * 100.0)), 0ll, 100ll);
+						got_gpu_util = true;
+
+						//? Calculate average frequency
+						if (active_residency > 0 and not gpu_freqs.empty()) {
+							double avg_freq = weighted_freq / static_cast<double>(active_residency);
+							gpus_slice[0].gpu_clock_speed = static_cast<unsigned int>(round(avg_freq));
+						}
+					}
+				}
+
+				//? GPU power from Energy Model
+				if (group == "Energy Model" and channel == "GPU Energy") {
+					string unit = cfstring_to_string(IOReportChannelGetUnitLabel(item));
+					int64_t val = IOReportSimpleGetIntegerValue(item, 0);
+					double energy = static_cast<double>(val);
+					double divisor = static_cast<double>(dt) / 1000.0; // dt is in ms
+
+					if (unit.find("nJ") != string::npos) energy /= 1e9;
+					else if (unit.find("uJ") != string::npos or unit.find("\xc2\xb5J") != string::npos) energy /= 1e6;
+					else if (unit.find("mJ") != string::npos) energy /= 1e3;
+					//? energy is now in Joules
+
+					if (divisor > 0) {
+						gpu_power_watts = energy / divisor;
+						got_gpu_power = true;
+					}
+				}
+			}
+
+			//? Store GPU utilization
+			if (got_gpu_util) {
+				gpus_slice[0].gpu_percent.at("gpu-totals").push_back(gpu_utilization);
+				gpus_slice[0].mem_utilization_percent.push_back(gpu_utilization);
+			}
+
+			//? Store power usage (convert W to mW)
+			if (got_gpu_power) {
+				gpus_slice[0].pwr_usage = static_cast<long long>(round(gpu_power_watts * 1000.0));
+				if (gpus_slice[0].pwr_usage > gpus_slice[0].pwr_max_usage)
+					gpus_slice[0].pwr_max_usage = gpus_slice[0].pwr_usage;
+				gpus_slice[0].gpu_percent.at("gpu-pwr-totals").push_back(
+					clamp(static_cast<long long>(round(static_cast<double>(gpus_slice[0].pwr_usage) * 100.0 / static_cast<double>(gpus_slice[0].pwr_max_usage))), 0ll, 100ll));
+			}
+
+			//? GPU temperature
+			if (gpus_slice[0].supported_functions.temp_info and Config::getB("check_temp")) {
+				long long temp = get_gpu_temp_iohid();
+				if (temp > 0)
+					gpus_slice[0].temp.push_back(temp);
+			}
+
+			//? Memory usage (unified memory — report system memory usage)
+			if (gpus_slice[0].supported_functions.mem_total) {
+				vm_size_t page_size;
+				mach_port_t mach_port = mach_host_self();
+				vm_statistics64_data_t vm_stats;
+				mach_msg_type_number_t count = sizeof(vm_stats) / sizeof(natural_t);
+				host_page_size(mach_port, &page_size);
+
+				if (host_statistics64(mach_port, HOST_VM_INFO64, (host_info64_t)&vm_stats, &count) == KERN_SUCCESS) {
+					long long used = (static_cast<int64_t>(vm_stats.active_count)
+						+ static_cast<int64_t>(vm_stats.inactive_count)
+						+ static_cast<int64_t>(vm_stats.wire_count)
+						+ static_cast<int64_t>(vm_stats.speculative_count)
+						+ static_cast<int64_t>(vm_stats.compressor_page_count)
+						- static_cast<int64_t>(vm_stats.purgeable_count)
+						- static_cast<int64_t>(vm_stats.external_page_count)) * static_cast<int64_t>(page_size);
+					if (used < 0) used = 0;
+					gpus_slice[0].mem_used = used;
+					if (gpus_slice[0].mem_total > 0) {
+						auto used_pct = static_cast<long long>(round(static_cast<double>(used) * 100.0 / static_cast<double>(gpus_slice[0].mem_total)));
+						gpus_slice[0].gpu_percent.at("gpu-vram-totals").push_back(clamp(used_pct, 0ll, 100ll));
+					}
+				}
+			}
+
+			CFRelease(delta);
+			return true;
+		}
+
+		//? Explicit template instantiations
+		template bool collect<true>(gpu_info*);
+		template bool collect<false>(gpu_info*);
+	} // namespace AppleSilicon
+
+	//? Collect data from Apple Silicon GPU
+	auto collect(bool no_update) -> vector<gpu_info>& {
+		if (Runner::stopping or (no_update and not gpus.empty())) return gpus;
+
+		AppleSilicon::collect<0>(gpus.data());
+
+		//* Calculate averages
+		long long avg = 0;
+		long long mem_usage_total = 0;
+		long long mem_total = 0;
+		long long pwr_total = 0;
+		for (auto& gpu : gpus) {
+			if (gpu.supported_functions.gpu_utilization and not gpu.gpu_percent.at("gpu-totals").empty())
+				avg += gpu.gpu_percent.at("gpu-totals").back();
+			if (gpu.supported_functions.mem_used)
+				mem_usage_total += gpu.mem_used;
+			if (gpu.supported_functions.mem_total)
+				mem_total += gpu.mem_total;
+			if (gpu.supported_functions.pwr_usage)
+				pwr_total += gpu.pwr_usage;
+
+			//* Trim vectors if there are more values than needed for graphs
+			if (width != 0) {
+				while (cmp_greater(gpu.gpu_percent.at("gpu-totals").size(), width * 2)) gpu.gpu_percent.at("gpu-totals").pop_front();
+				while (cmp_greater(gpu.mem_utilization_percent.size(), width)) gpu.mem_utilization_percent.pop_front();
+				while (cmp_greater(gpu.gpu_percent.at("gpu-pwr-totals").size(), width)) gpu.gpu_percent.at("gpu-pwr-totals").pop_front();
+				while (cmp_greater(gpu.temp.size(), 18)) gpu.temp.pop_front();
+				while (cmp_greater(gpu.gpu_percent.at("gpu-vram-totals").size(), width/2)) gpu.gpu_percent.at("gpu-vram-totals").pop_front();
+			}
+		}
+
+		if (not gpus.empty()) {
+			shared_gpu_percent.at("gpu-average").push_back(avg / static_cast<long long>(gpus.size()));
+			if (mem_total != 0)
+				shared_gpu_percent.at("gpu-vram-total").push_back(mem_usage_total * 100 / mem_total);
+			if (gpu_pwr_total_max != 0)
+				shared_gpu_percent.at("gpu-pwr-total").push_back(pwr_total * 100 / gpu_pwr_total_max);
+		}
+
+		if (width != 0) {
+			while (cmp_greater(shared_gpu_percent.at("gpu-average").size(), width * 2)) shared_gpu_percent.at("gpu-average").pop_front();
+			while (cmp_greater(shared_gpu_percent.at("gpu-vram-total").size(), width)) shared_gpu_percent.at("gpu-vram-total").pop_front();
+			while (cmp_greater(shared_gpu_percent.at("gpu-pwr-total").size(), width)) shared_gpu_percent.at("gpu-pwr-total").pop_front();
+		}
+
+		return gpus;
+	}
+} // namespace Gpu
+#endif // GPU_SUPPORT
+
 	class MachProcessorInfo {
 	public:
 		processor_info_array_t info_array;
@@ -188,6 +682,31 @@ namespace Shared {
 		Cpu::got_sensors = Cpu::get_sensors();
 		Cpu::core_mapping = Cpu::get_core_mapping();
 
+		//? Init for namespace Gpu
+	#ifdef GPU_SUPPORT
+		auto shown_gpus = Config::getS("shown_gpus");
+		if (shown_gpus.contains("apple")) {
+			Gpu::AppleSilicon::init();
+		}
+
+		if (not Gpu::gpu_names.empty()) {
+			for (auto const& [key, _] : Gpu::gpus[0].gpu_percent)
+				Cpu::available_fields.push_back(key);
+			for (auto const& [key, _] : Gpu::shared_gpu_percent)
+				Cpu::available_fields.push_back(key);
+
+			using namespace Gpu;
+			count = gpus.size();
+			gpu_b_height_offsets.resize(gpus.size());
+			for (size_t i = 0; i < gpu_b_height_offsets.size(); ++i)
+				gpu_b_height_offsets[i] = gpus[i].supported_functions.gpu_utilization
+					+ gpus[i].supported_functions.pwr_usage
+					+ (gpus[i].supported_functions.encoder_utilization or gpus[i].supported_functions.decoder_utilization)
+					+ (gpus[i].supported_functions.mem_total or gpus[i].supported_functions.mem_used)
+						* (1 + 2*(gpus[i].supported_functions.mem_total and gpus[i].supported_functions.mem_used) + 2*gpus[i].supported_functions.mem_utilization);
+		}
+	#endif
+
 		//? Init for namespace Mem
 		Mem::old_uptime = system_uptime();
 		Mem::collect();