diff --git a/.github/workflows/_get-test-matrix.yml b/.github/workflows/_get-test-matrix.yml
index 999767f13..677fdeac2 100644
--- a/.github/workflows/_get-test-matrix.yml
+++ b/.github/workflows/_get-test-matrix.yml
@@ -67,7 +67,7 @@ jobs:
               run_hardware=""
               if [ $(printf '%s\n' "${changed_files[@]}" | grep ${example} | grep -c gaudi) != 0 ]; then run_hardware="gaudi"; fi
               if [ $(printf '%s\n' "${changed_files[@]}" | grep ${example} | grep -c xeon) != 0 ]; then run_hardware="xeon ${run_hardware}"; fi
-              if [ "$run_hardware" == "" ]; then run_hardware="gaudi"; fi
+              if [ "$run_hardware" == "" ]; then run_hardware="xeon gaudi"; fi
               for hw in ${run_hardware}; do
                   if [ "$hw" == "gaudi" ] && [ "${{ inputs.gaudi_server_label }}" != "" ]; then
                     run_matrix="${run_matrix}{\"example\":\"${example}\",\"hardware\":\"${{ inputs.gaudi_server_label }}\"},"
diff --git a/ChatQnA/benchmark/README.md b/ChatQnA/benchmark/README.md
index 4963e53de..52c7764b8 100644
--- a/ChatQnA/benchmark/README.md
+++ b/ChatQnA/benchmark/README.md
@@ -133,11 +133,11 @@ kubectl label nodes k8s-worker1 node-type=chatqna-opea
 
 #### 2. Install ChatQnA
 
-Go to [BKC manifest](https://github.com/opea-project/GenAIExamples/tree/main/ChatQnA/benchmark/single_gaudi) and apply to K8s.
+Go to [BKC manifest](https://github.com/opea-project/GenAIExamples/tree/main/ChatQnA/benchmark/tuned/with_rerank/single_gaudi) and apply to K8s.
 
 ```bash
 # on k8s-master node
-cd GenAIExamples/ChatQnA/benchmark/single_gaudi
+cd GenAIExamples/ChatQnA/benchmark/tuned/with_rerank/single_gaudi
 kubectl apply -f .
 ```
 
@@ -199,7 +199,7 @@ All the test results will come to this folder `/home/sdp/benchmark_output/node_1
 
 ```bash
 # on k8s-master node
-cd GenAIExamples/ChatQnA/benchmark/single_gaudi
+cd GenAIExamples/ChatQnA/benchmark/tuned/with_rerank/single_gaudi
 kubectl delete -f .
 kubectl label nodes k8s-worker1 node-type-
 ```
@@ -216,11 +216,11 @@ kubectl label nodes k8s-worker1 k8s-worker2 node-type=chatqna-opea
 
 #### 2. Install ChatQnA
 
-Go to [BKC manifest](https://github.com/opea-project/GenAIExamples/tree/main/ChatQnA/benchmark/two_gaudi) and apply to K8s.
+Go to [BKC manifest](https://github.com/opea-project/GenAIExamples/tree/main/ChatQnA/benchmark/tuned/with_rerank/two_gaudi) and apply to K8s.
 
 ```bash
 # on k8s-master node
-cd GenAIExamples/ChatQnA/benchmark/two_gaudi
+cd GenAIExamples/ChatQnA/benchmark/tuned/with_rerank/two_gaudi
 kubectl apply -f .
 ```
 
@@ -265,11 +265,11 @@ kubectl label nodes k8s-master k8s-worker1 k8s-worker2 k8s-worker3 node-type=cha
 
 #### 2. Install ChatQnA
 
-Go to [BKC manifest](https://github.com/opea-project/GenAIExamples/tree/main/ChatQnA/benchmark/four_gaudi) and apply to K8s.
+Go to [BKC manifest](https://github.com/opea-project/GenAIExamples/tree/main/ChatQnA/benchmark/tuned/with_rerank/four_gaudi) and apply to K8s.
 
 ```bash
 # on k8s-master node
-cd GenAIExamples/ChatQnA/benchmark/four_gaudi
+cd GenAIExamples/ChatQnA/benchmark/tuned/with_rerank/four_gaudi
 kubectl apply -f .
 ```
 
@@ -298,7 +298,11 @@ All the test results will come to this folder `/home/sdp/benchmark_output/node_4
 
 ```bash
 # on k8s-master node
-cd GenAIExamples/ChatQnA/benchmark/single_gaudi
+cd GenAIExamples/ChatQnA/benchmark/tuned/with_rerank/single_gaudi
 kubectl delete -f .
 kubectl label nodes k8s-master k8s-worker1 k8s-worker2 k8s-worker3 node-type-
 ```
+
+#### 6. Results
+
+Check OOB performance data [here](/opea_release_data.md#chatqna), tuned performance data will be released soon.
diff --git a/opea_release_data.md b/opea_release_data.md
new file mode 100644
index 000000000..f44b80f10
--- /dev/null
+++ b/opea_release_data.md
@@ -0,0 +1,49 @@
+# OPEA Release Data
+
+This page shows the benchmark data of GenAIExamples. More data for different examples will be submitted in the future release.
+
+## ChatQnA
+
+| **Docker Images for Test**                            |
+| ----------------------------------------------------- |
+| opea/embedding-tei:v0.9                               |
+| ghcr.io/huggingface/text-embeddings-inference:cpu-1.5 |
+| opea/llm-tgi:v0.9                                     |
+| ghcr.io/huggingface/tgi-gaudi:2.0.1                   |
+| opea/dataprep-redis:v0.9                              |
+| redis/redis-stack:7.2.0-v9                            |
+| opea/reranking-tei:v0.9                               |
+| opea/tei-gaudi:v0.9                                   |
+| opea/retriever-redis:v0.9                             |
+| opea/chatqna:v0.9                                     |
+
+System Summary:  
+1-node, 2x Intel(R) Xeon(R) Platinum 8380 CPU @ 2.30GHz, 40 cores, 270W TDP, HT On, Turbo On, NUMA 2, Integrated Accelerators Available [used]: DLB 0 [0], DSA 0 [0], IAA 0 [0], QAT 0 [0], Total Memory 1024GB (32x32GB DDR4 3200 MT/s [3200 MT/s]), BIOS ETM02, microcode 0xd0003b9, 8x Habana Labs Ltd., 4x MT28800 Family [ConnectX-5 Ex], 4x 7T INTEL SSDPF2KX076TZ, 2x 894.3G SAMSUNG MZ1L2960HCJR-00A07, Ubuntu 22.04.3 LTS, 5.15.0-92-generic. Software: WORKLOAD+VERSION, COMPILER, LIBRARIES, OTHER_SW. Test by Intel as of 08/20/24.
+
+### Performance Data
+
+| 1Node E2E Performance (Sec) | Gaudi nodes | Concurrency | Input | Output | Average Latency | P90 Total latency |
+| :-------------------------: | :---------: | :---------: | :---: | :----: | :-------------: | :---------------: |
+|      OOB w/o Reranking      |      1      |     128     |  128  |  128   |      5.597      |       7.59        |
+|      OOB w/ Reranking       |      1      |     128     |  128  |  128   |      6.003      |       8.123       |
+
+| 2Nodes E2E Performance (Sec) | Gaudi nodes | Concurrency | Input | Output | Average Latency | P90 Total latency |
+| :--------------------------: | :---------: | :---------: | :---: | :----: | :-------------: | :---------------: |
+|      OOB w/o Reranking       |      2      |     256     |  128  |  128   |      7.05       |       9.122       |
+|       OOB w/ Reranking       |      2      |     256     |  128  |  128   |      7.26       |       9.239       |
+
+| 4Nodes E2E Performance (Sec) | Gaudi nodes | Concurrency | Input | Output | Average Latency | P90 Total latency |
+| :--------------------------: | :---------: | :---------: | :---: | :----: | :-------------: | :---------------: |
+|      OOB w/o Reranking       |      4      |     512     |  128  |  128   |     16.293      |      21.169       |
+|       OOB w/ Reranking       |      4      |     512     |  128  |  128   |      17.22      |      21.942       |
+
+Go to Benchmark [README](./ChatQnA/benchmark/README.md) for reproduce steps, tuned performance data will be released soon.
+
+### Accuracy Data
+
+|        Test Case        | Hits@10 | Hits@4 | MAP@10 | MRR@10 |
+| :---------------------: | :-----: | :----: | :----: | :----: |
+| Retrieval w/o Reranking | 66.16%  | 49.80% | 17.62% | 39.75% |
+| Retrieval w/ Reranking  | 72.28%  | 63.24% | 24.97% | 56.79% |
+
+Go to Accuracy [README](https://github.com/opea-project/GenAIEval/tree/main/evals/evaluation/rag_eval#multihop-english-dataset) for reproduce steps.