diff --git a/.github/workflows/triton-benchmarks.yml b/.github/workflows/triton-benchmarks.yml
index 3d55c5974..d238e3dc7 100644
--- a/.github/workflows/triton-benchmarks.yml
+++ b/.github/workflows/triton-benchmarks.yml
@@ -167,6 +167,7 @@ jobs:
           source ../../scripts/capture-hw-details.sh
 
           python ../../scripts/build_report.py $REPORTS/matmul-performance-bt.csv $REPORTS/gemm-bt-triton-report.csv --benchmark gemm-bt --compiler triton --param_cols "B,M,K,N" --tflops_col Triton-TFlops --hbm_col "Triton-GB/s" --tag $TAG
+          python ../../scripts/build_report.py $REPORTS/matmul-performance-bt.csv $REPORTS/gemm-bt-triton-report.csv --benchmark gemm-bt --compiler onednn --param_cols "B,M,K,N" --tflops_col onednn-TFlops --hbm_col "onednn-GB/s" --tag $TAG
 
       - name: Run Triton GEMM (A^t@B) kernel benchmark
         if: ${{ steps.install.outcome == 'success' && !cancelled() }}
@@ -177,6 +178,7 @@ jobs:
           source ../../scripts/capture-hw-details.sh
 
           python ../../scripts/build_report.py $REPORTS/matmul-performance-at.csv $REPORTS/gemm-at-triton-report.csv --benchmark gemm-at --compiler triton --param_cols "B,M,K,N" --tflops_col Triton-TFlops --hbm_col "Triton-GB/s" --tag $TAG
+          python ../../scripts/build_report.py $REPORTS/matmul-performance-at.csv $REPORTS/gemm-at-triton-report.csv --benchmark gemm-at --compiler onednn --param_cols "B,M,K,N" --tflops_col onednn-TFlops --hbm_col "onednn-GB/s" --tag $TAG
 
       - name: Run Triton GEMM (stream-k) kernel benchmark
         if: ${{ steps.install.outcome == 'success' && !cancelled() }}
diff --git a/benchmarks/triton_kernels_benchmark/gemm_benchmark.py b/benchmarks/triton_kernels_benchmark/gemm_benchmark.py
index 6bb87b871..f54ef2abd 100644
--- a/benchmarks/triton_kernels_benchmark/gemm_benchmark.py
+++ b/benchmarks/triton_kernels_benchmark/gemm_benchmark.py
@@ -13,6 +13,8 @@
 import triton.language as tl
 
 import triton_kernels_benchmark as benchmark_suit
+from triton_kernels_benchmark.benchmark_testing import do_bench_elapsed_time, BENCHMARKING_METHOD
+
 import xetla_kernel
 
 if benchmark_suit.USE_IPEX_OPTION:
@@ -250,9 +252,9 @@ def get_shapes(B, M, N, K, transpose_a, transpose_b):
         line_arg='provider',
         # argument name whose value corresponds to a different line in the plot
         # possible values for `line_arg``
-        line_vals=['triton'] + (['xetla'] if use_xetla else []),
+        line_vals=['triton'] + (['xetla'] if use_xetla else ['onednn']),
         # label name for the lines
-        line_names=['Triton'] + (['XeTLA'] if use_xetla else []),
+        line_names=['Triton'] + (['XeTLA'] if use_xetla else ['onednn']),
         # line styles
         styles=[('green', '-'), ('green', '--'), ('blue', '-'), ('blue', '--')],
         ylabel=['GB/s', 'TFlops'],  # label name for the y-axis
@@ -277,8 +279,12 @@ def benchmark(B, M, N, K, provider):
         torch_b = torch.transpose(torch_b, -2, -1)
 
     if provider == 'onednn':
-        _, min_ms, max_ms, mean_ms, cv = benchmark_suit.do_bench(lambda: torch.matmul(torch_a, torch_b), warmup=10,
-                                                                 rep=10, quantiles=quantiles)
+        do_bench = benchmark_suit.do_bench
+        if BENCHMARKING_METHOD == 'PYTORCH_LEGACY_PROFILER_USING_IPEX':
+            # Legacy profiler shows ~6000TFLOPS GeoMean for onednn measurements, so use more reliable method
+            do_bench = do_bench_elapsed_time
+        _, min_ms, max_ms, mean_ms, cv = do_bench(lambda: torch.matmul(torch_a, torch_b), warmup=10, rep=10,
+                                                  quantiles=quantiles, kernel_name='gemm_kernel')
     elif provider == 'triton':
         assert len(a.shape) == len(b.shape), 'Incompatible sizes'
         if len(a.shape) == 3: