diff --git a/common/profiler.cpp b/common/profiler.cpp
index eac53110..14b324fd 100644
--- a/common/profiler.cpp
+++ b/common/profiler.cpp
@@ -525,12 +525,14 @@ static uint64_t device_host_physical_memory(bool available) {
                 // because GPU is more likely to use the inactive memory
                 memory += vm_stats.active_count * 0.2 * page_size;
             } else {
-                // assume 50% of active pages can be compressed on macOS x86_64 (an empirical value)
-                memory += vm_stats.active_count * 0.6 * page_size;
+                // assume 50% of active pages can be compressed on macOS NUMA (an empirical value)
+                memory += vm_stats.active_count * 0.5 * page_size;
             }
 
-            
-            if (!is_uma_arch()) memory += vm_stats.speculative_count * page_size;
+            if (!is_uma_arch()) {
+                memory += vm_stats.speculative_count * page_size;
+                memory += vm_stats.compressor_page_count * page_size;
+            }
         } else {
             LOG_INF("host_statistics64 failed\n");
         }
diff --git a/src/llama.cpp b/src/llama.cpp
index 5be02d68..741d3063 100644
--- a/src/llama.cpp
+++ b/src/llama.cpp
@@ -3344,7 +3344,7 @@ struct llama_context {
     mutable int64_t n_queued_tokens = 0;
 
     mutable int32_t n_p_eval = 0; // number of tokens in eval calls for the prompt (with batch size > 1)
-    mutable int32_t n_eval   = -1; // number of eval calls, set to -1 to ignore the first eval
+    mutable int32_t n_eval   = -5; // number of eval calls, set to -5 to ignore the first 5 evals
 
     // host buffer for the model output (logits and embeddings)
     ggml_backend_buffer_t buf_output = nullptr;
@@ -22716,7 +22716,7 @@ void llama_synchronize(struct llama_context * ctx) {
 
     // add the evaluation to the stats
     if (ctx->n_queued_tokens == 1) {
-        if (!ctx->cparams.no_perf && ctx->n_eval >= 0) { // ignore the first two evals due to preheat
+        if (!ctx->cparams.no_perf && ctx->n_eval >= 0) { // ignore the first 5 evals due to preheat
             ctx->t_eval_us += ggml_time_us() - ctx->t_compute_start_us;
         }
         ctx->n_eval++;
@@ -23364,7 +23364,7 @@ void llama_perf_context_print(const struct llama_context * ctx) {
 void llama_perf_context_reset(struct llama_context * ctx) {
     ctx->t_start_us  = ggml_time_us();
     ctx->t_eval_us   = 0;
-    ctx->n_eval      = -1; // set to -1 to ignore the first eval due to preheat
+    ctx->n_eval      = -5; // set to -5 to ignore the first 5 evals due to preheat
     ctx->t_p_eval_us = ctx->n_p_eval = 0;
 }