updating benchmark

cpp-package/inspireface/cpp/inspireface/cost_time.h

@@ -0,0 +1,54 @@
+#ifndef COST_TIME_HPP
+#define COST_TIME_HPP
+
+#include <chrono>
+#include <iomanip>
+#include <sstream>
+#include "log.h"  // Assume log.h includes the INSPIRE_LOGI macro
+
+// Macro definition to control whether time cost calculations are enabled
+#ifdef ISF_ENABLE_COST_TIME
+
+#define COST_TIME(id, precision) inspire::CostTime cost_time_##id(#id, __FILENAME__, __FUNCTION__, __LINE__, precision)
+#define COST_TIME_SIMPLE(id) inspire::CostTime cost_time_##id(#id, __FILENAME__, __FUNCTION__, __LINE__)
+
+#else
+#define COST_TIME(id, precision) // No operation, when ISF_ENABLE_COST_TIME is not defined
+#define COST_TIME_SIMPLE(id) // No operation, when ISF_ENABLE_COST_TIME is not defined
+
+#endif
+
+namespace inspire {
+
+class CostTime {
+public:
+    // Constructor, records the start time
+    explicit CostTime(const char* id, const char* filename, const char* function, int line, int precision = 5)
+        : id_(id), filename_(filename), function_(function), line_(line), precision_(precision),
+          start_time_(std::chrono::steady_clock::now()) {}
+
+    // Destructor, calculates and logs the time taken
+    ~CostTime() {
+        auto end_time = std::chrono::steady_clock::now();
+        std::chrono::duration<double> duration = end_time - start_time_;
+
+        // Use a string stream for formatted output, controlling decimal precision
+        std::ostringstream oss;
+        oss << std::fixed << std::setprecision(precision_) << duration.count();
+
+        // Log the time cost
+        INSPIRE_LOGI("CostTime: [%s] %s:%d %s took %s seconds", id_, filename_, line_, function_, oss.str().c_str());
+    }
+
+private:
+    const char* id_;
+    const char* filename_;
+    const char* function_;
+    int line_;
+    int precision_;
+    std::chrono::time_point<std::chrono::steady_clock> start_time_;
+};
+
+} // namespace inspire
+
+#endif // COST_TIME_HPP

cpp-package/inspireface/doc/Benchmark-Remark(Updating).md

@@ -16,7 +16,18 @@ The benchmark tests will be continuously updated.
 | Face Extract(**MNet**) | 1000      | 853ms          | **0.85ms**       |
 | Face Extract(**R50**)  | 1000      | 3856ms         | **3.86ms**       |
 
-**Note: **The above data inference backend uses CoreML.
+### Device: Mac mini 2023 , Apple M2
+| **Benchmark**          | **Loops** | **Total Time** | **Average Time** |
+| ---------------------- | --------- | -------------- | ---------------- |
+| Face Detect@160        | 1000      | 414 ms         | **0.45 ms**      |
+| Face Detect@192        | 1000      | 574ms          | **0.57ms**       |
+| Face Detect@256        | 1000      | 769ms          | **0.77ms**       |
+| Face Detect@320        | 1000      | 1073ms         | **1.07ms**       |
+| Face Detect@640        | 1000      | 3743ms         | **3.74ms**       |
+| Face Extract(**MNet**) | 1000      | 573ms          | **0.57ms**       |
+| Face Extract(**R50**)  | 1000      | 3527ms         | **3.53ms**       |
+
+**Note**: The above data inference backend uses CoreML.
 
 ## Pikachu
 ### Device: Macbook pro 16-inch, 2019 2.6 GHz Intel Core i7