diff --git a/immich_model_exporter/__init__.py b/immich_model_exporter/__init__.py
index 64f3ae7..244d99f 100644
--- a/immich_model_exporter/__init__.py
+++ b/immich_model_exporter/__init__.py
@@ -2,6 +2,7 @@
 import resource
 from pathlib import Path
 
+import numpy as np
 import typer
 from tenacity import retry, stop_after_attempt, wait_fixed
 from typing_extensions import Annotated
@@ -53,6 +54,8 @@ def export(
     output_dir = output_dir / model_name
     match model_source:
         case ModelSource.MCLIP | ModelSource.OPENCLIP:
+            rand = np.random.rand(1,77)
+            np.save("randtextualinput.npy",rand)
             output_dir.mkdir(parents=True, exist_ok=True)
             onnx_export(hf_model_name, model_source, output_dir, cache=cache)
         case ModelSource.INSIGHTFACE:
diff --git a/immich_model_exporter/exporters/constants.py b/immich_model_exporter/exporters/constants.py
index 45e08a5..4f47c9f 100644
--- a/immich_model_exporter/exporters/constants.py
+++ b/immich_model_exporter/exporters/constants.py
@@ -35,6 +35,7 @@ class SourceMetadata(NamedTuple):
 }
 
 RKNN_SOCS = ["rk3566", "rk3568", "rk3576", "rk3588"]
+RKNN_BLOCKED_OPS = ["CumSum"]
 
 
 # glob to delete old UUID blobs when reuploading models
diff --git a/immich_model_exporter/exporters/rknn.py b/immich_model_exporter/exporters/rknn.py
index c45c4a6..47dca78 100644
--- a/immich_model_exporter/exporters/rknn.py
+++ b/immich_model_exporter/exporters/rknn.py
@@ -1,6 +1,6 @@
 from pathlib import Path
 
-from .constants import RKNN_SOCS
+from .constants import RKNN_BLOCKED_OPS, RKNN_SOCS
 
 
 def _export_platform(
@@ -36,6 +36,15 @@ def _export_platform(
 
     ret = rknn.build(do_quantization=False)
 
+    if "textual" in input_path.as_posix():
+        ret = rknn.accuracy_analysis(inputs=["randtextualinput.npy"])
+        if ret != 0:
+            RuntimeError("Accuracy analysis failed!")
+        analysis_result= open("./snapshot/error_analysis.txt","r")
+        for ops in RKNN_BLOCKED_OPS:
+            if ops in analysis_result.read():
+                raise RuntimeError("ONNX Model contains Unsupported OPs!")
+
     if ret != 0:
         raise RuntimeError("Build failed!")