diff --git a/tests/test-backend-ops.cpp b/tests/test-backend-ops.cpp
index 5dd8fbfcc..3955ef332 100644
--- a/tests/test-backend-ops.cpp
+++ b/tests/test-backend-ops.cpp
@@ -474,8 +474,8 @@ struct test_case {
 
                 if (memcmp(t1_data.data(), t2_data.data(), ggml_nbytes(t1)) != 0) {
                     printf("sentinel mismatch: %s ", t1->name);
-//                    ud->ok = false;
-//                    return true;
+                    ud->ok = false;
+                    return true;
                 }
             }
 
@@ -1694,64 +1694,6 @@ struct test_leaky_relu : public test_case {
     }
 };
 
-// GGML_OP_SSM_CONV
-struct test_ssm_conv : public test_case {
-    const ggml_type type;
-    const int64_t d_conv;
-    const int64_t d_inner;
-    const int64_t n_seq_tokens;
-    const int64_t n_seqs;
-
-    std::string vars() override {
-        return VARS_TO_STR5(type, d_conv, d_inner, n_seq_tokens, n_seqs);
-    }
-
-    test_ssm_conv(ggml_type type = GGML_TYPE_F32,
-            int64_t d_conv = 4,
-            int64_t d_inner = 1536,
-            int64_t n_seq_tokens = 7,
-            int64_t n_seqs = 2)
-        : type(type), d_conv(d_conv), d_inner(d_inner), n_seq_tokens(n_seq_tokens), n_seqs(n_seqs) {}
-
-    ggml_tensor * build_graph(ggml_context * ctx) override {
-        ggml_tensor * sx = ggml_new_tensor_3d(ctx, type, d_conv - 1 + n_seq_tokens, d_inner, n_seqs);
-        ggml_tensor * c = ggml_new_tensor_2d(ctx, type, d_conv, d_inner);
-        ggml_tensor * out = ggml_ssm_conv(ctx, sx, c);
-        return out;
-    }
-};
-
-// GGML_OP_SSM_SCAN
-struct test_ssm_scan : public test_case {
-    const ggml_type type;
-    const int64_t d_state;
-    const int64_t d_inner;
-    const int64_t n_seq_tokens;
-    const int64_t n_seqs;
-
-    std::string vars() override {
-        return VARS_TO_STR5(type, d_state, d_inner, n_seq_tokens, n_seqs);
-    }
-
-    test_ssm_scan(ggml_type type = GGML_TYPE_F32,
-            int64_t d_state = 16,
-            int64_t d_inner = 1536,
-            int64_t n_seq_tokens = 7,
-            int64_t n_seqs = 2)
-        : type(type), d_state(d_state), d_inner(d_inner), n_seq_tokens(n_seq_tokens), n_seqs(n_seqs) {}
-
-    ggml_tensor * build_graph(ggml_context * ctx) override {
-        ggml_tensor * s = ggml_new_tensor_3d(ctx, type, d_state, d_inner, n_seqs);
-        ggml_tensor * x = ggml_new_tensor_3d(ctx, type, d_inner, n_seq_tokens, n_seqs);
-        ggml_tensor * dt = ggml_new_tensor_3d(ctx, type, d_inner, n_seq_tokens, n_seqs);
-        ggml_tensor * A = ggml_new_tensor_2d(ctx, type, d_state, d_inner);
-        ggml_tensor * B = ggml_new_tensor_3d(ctx, type, d_state, n_seq_tokens, n_seqs);
-        ggml_tensor * C = ggml_new_tensor_3d(ctx, type, d_state, n_seq_tokens, n_seqs);
-        ggml_tensor * out = ggml_ssm_scan(ctx, s, x, dt, A, B, C);
-        return out;
-    }
-};
-
 // GGML_OP_FLASH_ATTN_EXT
 struct test_flash_attn_ext : public test_case {
     const int64_t hs; // head size
@@ -2549,8 +2491,6 @@ static bool test_backend(ggml_backend_t backend, test_mode mode, const char * op
     test_cases.emplace_back(new test_arange());
     test_cases.emplace_back(new test_timestep_embedding());
     test_cases.emplace_back(new test_leaky_relu());
-    test_cases.emplace_back(new test_ssm_conv());
-    test_cases.emplace_back(new test_ssm_scan());
 
     for (int hs : { 64, 80, 128, 256, }) {
         for (bool mask : { true, false } ) {