diff --git a/.github/workflows/benchmark.yml b/.github/workflows/benchmark.yml
index ca88b7b8b0..cdc253d6ae 100644
--- a/.github/workflows/benchmark.yml
+++ b/.github/workflows/benchmark.yml
@@ -115,7 +115,7 @@ jobs:
     - name: Run GPT2 w HALF/BEAM
       run: CUDA=1 JIT=1 HALF=1 BEAM=2 CACHELEVEL=0 CAST_BEFORE_VIEW=0 python3 examples/gpt2.py --count 10 --temperature 0 --timing | tee gpt2_half_beam.txt
     - name: Run full CIFAR training
-      run: time CUDA=1 HALF=1 LATEWINO=1 STEPS=1000 TARGET_EVAL_ACC_PCT=93.5 python3 examples/hlb_cifar10.py | tee train_cifar_one_gpu.txt
+      run: time CUDA=1 HALF=1 LATEWINO=1 STEPS=1000 TARGET_EVAL_ACC_PCT=93.3 python3 examples/hlb_cifar10.py | tee train_cifar_one_gpu.txt
     - uses: actions/upload-artifact@v4
       with:
         name: Speed (NVIDIA)
@@ -229,9 +229,9 @@ jobs:
     - name: Run 10 CIFAR training steps w HALF
       run: HSA=1 STEPS=10 HALF=1 python3 examples/hlb_cifar10.py | tee train_cifar_half.txt
     - name: Run full CIFAR training w 1 GPU
-      run: time HSA=1 HALF=1 LATEWINO=1 STEPS=1000 TARGET_EVAL_ACC_PCT=93.5 python3 examples/hlb_cifar10.py | tee train_cifar_one_gpu.txt
+      run: time HSA=1 HALF=1 LATEWINO=1 STEPS=1000 TARGET_EVAL_ACC_PCT=93.3 python3 examples/hlb_cifar10.py | tee train_cifar_one_gpu.txt
     - name: Run full CIFAR training steps w 6 GPUS
-      run: time HSA=1 HALF=1 STEPS=350 BS=1536 GPUS=6 TARGET_EVAL_ACC_PCT=93.5 python3 examples/hlb_cifar10.py | tee train_cifar_six_gpu.txt
+      run: time HSA=1 HALF=1 STEPS=350 BS=1536 GPUS=6 TARGET_EVAL_ACC_PCT=93.3 python3 examples/hlb_cifar10.py | tee train_cifar_six_gpu.txt
     - name: Run MLPerf resnet eval on training data
       run: time HSA=1 MODEL=resnet python3 examples/mlperf/model_eval.py
     - name: Run 10 MLPerf ResNet50 training steps (1 gpu)