diff --git a/.github/workflows/llm_performance_tests.yml b/.github/workflows/llm_performance_tests.yml
index 53cb9c642c6..f48fb742afe 100644
--- a/.github/workflows/llm_performance_tests.yml
+++ b/.github/workflows/llm_performance_tests.yml
@@ -1207,35 +1207,32 @@ jobs:
 
           call conda deactivate
 
-      # NOTE: Gemma2 not working for 4096-512. 
-      #       When it works, uncomment this section and remember to change "'s/{today}_test3/{today}_test1/g'" in next section.
+      - name: Prepare igpu perf test for transformers 4.43 (4096-512 int4+fp16)
+       shell: bash
+       run: |
+         sed -i 's/{today}_test3/{today}_test4/g' python/llm/dev/benchmark/all-in-one/run.py
+         sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/4096-512_int4_fp16_443.yaml
+
+      - name: Test on igpu for transformers 4.43 (4096-512 int4+fp16)
+       shell: cmd
+       run: |
+         call conda activate igpu-perf
+         pip install transformers==4.43.1
+         pip install trl
       
-      #- name: Prepare igpu perf test for transformers 4.43 (4096-512 int4+fp16)
-      #  shell: bash
-      #  run: |
-      #    sed -i 's/{today}_test3/{today}_test4/g' python/llm/dev/benchmark/all-in-one/run.py
-      #    sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/4096-512_int4_fp16_443.yaml
-
-      #- name: Test on igpu for transformers 4.43 (4096-512 int4+fp16)
-      #  shell: cmd
-      #  run: |
-      #    call conda activate igpu-perf
-      #    pip install transformers==4.43.1
-      #    pip install trl
-      #
-      #    set SYCL_CACHE_PERSISTENT=1
-      #    set BIGDL_LLM_XMX_DISABLED=1
-      #
-      #    cd python\llm\dev\benchmark\all-in-one
-      #    move ..\..\..\test\benchmark\igpu-perf\4096-512_int4_fp16_443.yaml config.yaml
-      #    set PYTHONIOENCODING=utf-8
-      #    python run.py >> %CSV_SAVE_PATH%\4096-512_int4_fp16\log\%LOG_FILE% 2>&1
-      #    if %ERRORLEVEL% neq 0 (exit /b 1)
-      #    python ..\..\..\test\benchmark\igpu-perf\check_csv_results.py --yaml-file config.yaml --suffix test4
-      #    if %ERRORLEVEL% neq 0 (exit /b 1)
-      #    
-      #    pip uninstall trl -y
-      #    call conda deactivate
+         set SYCL_CACHE_PERSISTENT=1
+         set BIGDL_LLM_XMX_DISABLED=1
+      
+         cd python\llm\dev\benchmark\all-in-one
+         move ..\..\..\test\benchmark\igpu-perf\4096-512_int4_fp16_443.yaml config.yaml
+         set PYTHONIOENCODING=utf-8
+         python run.py >> %CSV_SAVE_PATH%\4096-512_int4_fp16\log\%LOG_FILE% 2>&1
+         if %ERRORLEVEL% neq 0 (exit /b 1)
+         python ..\..\..\test\benchmark\igpu-perf\check_csv_results.py --yaml-file config.yaml --suffix test4
+         if %ERRORLEVEL% neq 0 (exit /b 1)
+         
+         pip uninstall trl -y
+         call conda deactivate
 
       - name: Concat csv and generate html (4096-512 int4+fp16)
         shell: cmd
@@ -1259,7 +1256,7 @@ jobs:
         shell: bash
         run: |
           sed -i 's/4096-512/1024-128/g' python/llm/dev/benchmark/all-in-one/run.py
-          sed -i 's/{today}_test3/{today}_test1/g' python/llm/dev/benchmark/all-in-one/run.py
+          sed -i 's/{today}_test4/{today}_test1/g' python/llm/dev/benchmark/all-in-one/run.py
           sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/1024-128_int4_fp16_loadlowbit.yaml
 
       - name: Test on igpu (load_low_bit 1024-128 int4+fp16)
diff --git a/python/llm/src/ipex_llm/transformers/models/gemma2.py b/python/llm/src/ipex_llm/transformers/models/gemma2.py
index 33201864223..07f8314a021 100644
--- a/python/llm/src/ipex_llm/transformers/models/gemma2.py
+++ b/python/llm/src/ipex_llm/transformers/models/gemma2.py
@@ -129,7 +129,8 @@ def gemma2_attention_forward(
     # IPEX_LLM OPT: sdp
     kv_seq_len = q_len if past_key_value is None else past_key_value.kv_seq_len
     if (use_sdp_causal(q_len, kv_seq_len, -1, query_states, self.training)
-            and kv_seq_len <= key_states.size(2)):
+            and kv_seq_len <= key_states.size(2) and
+            (self.sliding_window is None or kv_seq_len < self.sliding_window)):
         import xe_addons
         attn_weights = None
         attn_output = xe_addons.gemma2_sdp_causal(query_states,
@@ -141,10 +142,15 @@ def gemma2_attention_forward(
     elif use_sdp(q_len, kv_seq_len, -1, query_states):
         import xe_addons
         attn_weights = None
+        if self.sliding_window is not None:
+            attn_mask = attention_mask[:, :, :q_len, : key_states.shape[-2]]
+        else:
+            attn_mask = attention_mask
+
         attn_output = xe_addons.gemma2_sdp(query_states,
-                                           key_states[:, :, :kv_seq_len, :],
-                                           value_states[:, :, :kv_seq_len, :],
-                                           attention_mask[:, :, :q_len, :kv_seq_len],
+                                           key_states,
+                                           value_states,
+                                           attn_mask,
                                            self.config.attn_logit_softcapping,
                                            self.scaling)
     else: