diff --git a/dnn/test/common/conv_bias.cpp b/dnn/test/common/conv_bias.cpp
index e7438e0316a4086f10361bdfcc90d785e9c1f7a3..0deba21ecec147a37afa12d3fb80c2552b84a7ed 100644
--- a/dnn/test/common/conv_bias.cpp
+++ b/dnn/test/common/conv_bias.cpp
@@ -961,6 +961,64 @@ void benchmark_winograd(
 }
 #endif  // MEGDNN_WITH_BENCHMARK
 
+template <class Checker>
+void check_winograd(
+        const char* algo_name, Checker& checker,
+        const std::vector<conv_bias::TestArg>& args, param::MatrixMul::Format format,
+        param::ConvBias::Format layout) {
+    const char* matmul_name;
+#if MEGDNN_AARCH64
+    if (format == param::MatrixMul::Format::MK4) {
+        matmul_name = "AARCH64_F32_MK4_4x16";
+    } else if (format == param::MatrixMul::Format::MK8) {
+        matmul_name = "AARCH64_INT16X16X32_MK8_8X8";
+    } else {
+        matmul_name = "AARCH64_F32K8X12X1";
+    }
+#elif MEGDNN_ARMV7
+    if (format == param::MatrixMul::Format::MK4) {
+        matmul_name = "ARMV7_F32_MK4_4x8";
+    } else if (format == param::MatrixMul::Format::MK8) {
+        matmul_name = "ARMV7_INT16X16X32_MK8_4X8";
+    } else {
+        matmul_name = "ARMV7_F32";
+    }
+#else
+    if (format == param::MatrixMul::Format::MK4) {
+        matmul_name = "FB_GI_F32_MK4_4x8";
+    } else {
+        matmul_name = "FB_GI_F32_4x12";
+    }
+#endif
+    std::string winograd_algo_name;
+    if (layout == megdnn::param::ConvBias::Format::NCHW) {
+        winograd_algo_name = ssprintf("WINOGRAD:%s:%s", matmul_name, algo_name);
+    } else if (layout == megdnn::param::ConvBias::Format::NCHW44) {
+        winograd_algo_name = ssprintf("WINOGRAD_NCHW44:%s:%s", matmul_name, algo_name);
+    } else {
+        megdnn_throw("Invalid layout");
+    }
+
+    checker.set_before_exec_callback(
+            conv_bias::ConvBiasAlgoChecker<ConvBias>(winograd_algo_name.c_str()));
+
+    for (auto&& arg : args) {
+        checker.set_param(arg.param).execs({arg.src, arg.filter, arg.bias, {}, {}});
+    }
+}
+
+template void check_winograd<megdnn::test::Checker<megdnn::ConvBias>>(
+        const char* algo_name, megdnn::test::Checker<megdnn::ConvBias>& checker,
+        const std::vector<conv_bias::TestArg>& args, param::MatrixMul::Format format,
+        param::ConvBias::Format layout);
+
+using WeightPreprocessChecker = megdnn::test::Checker<
+        megdnn::ConvBias, megdnn::test::OprWeightPreprocessProxy<megdnn::ConvBias>>;
+template void check_winograd<WeightPreprocessChecker>(
+        const char* algo_name, WeightPreprocessChecker& checker,
+        const std::vector<conv_bias::TestArg>& args, param::MatrixMul::Format format,
+        param::ConvBias::Format layout);
+
 std::vector<conv_bias::TestArg> get_conv_bias_args(
         std::vector<size_t> kernel, size_t stride, bool no_pad, bool no_bias,
         bool no_nonlinemode, bool quantized_nlmod, bool only_broadcast_bias) {
diff --git a/dnn/test/common/conv_bias.h b/dnn/test/common/conv_bias.h
index 98ccadf3e8d94cb531d0b8a1eeeef2e81a75903a..b0c093fca2fe61d4bc801da666d650e24ed26240 100644
--- a/dnn/test/common/conv_bias.h
+++ b/dnn/test/common/conv_bias.h
@@ -66,6 +66,13 @@ void benchmark_winograd(
         const char* algo_name, megdnn::Handle* handle, size_t kernel,
         size_t pack_size = 1);
 #endif  // MEGDNN_WITH_BENCHMARK
+template <class Checker>
+void check_winograd(
+        const char* algo_name, Checker& checker,
+        const std::vector<megdnn::test::conv_bias::TestArg>& args,
+        megdnn::param::MatrixMul::Format format =
+                megdnn::param::MatrixMul::Format::DEFAULT,
+        megdnn::param::ConvBias::Format layout = megdnn::param::ConvBias::Format::NCHW);
 
 std::vector<megdnn::test::conv_bias::TestArg> get_conv_bias_args(
         std::vector<size_t> kernel, size_t stride, bool no_pad, bool no_bias,
diff --git a/dnn/test/fallback/conv_bias.cpp b/dnn/test/fallback/conv_bias.cpp
index 6204776321e16e1cabb6f468de08d2307fe9e88a..dd9e2e491401a508039c21bf2c3bbfb1322c4ca5 100644
--- a/dnn/test/fallback/conv_bias.cpp
+++ b/dnn/test/fallback/conv_bias.cpp
@@ -492,6 +492,146 @@ TEST_F(FALLBACK_MULTI_THREADS, CONVBIAS_GI_DIRECT_FP32_STR1) {
             handle(), "F32STRD1");
 }
 
+TEST_F(FALLBACK_MULTI_THREADS, CONVBIAS_GI_WINOGRAD_F23_4) {
+    using namespace conv_bias;
+    std::vector<TestArg> args = get_winograd_mk_packed_args();
+    Checker<ConvBiasForward> checker(handle());
+
+    check_winograd("4:2:32", checker, args, param::MatrixMul::Format::MK4);
+}
+
+TEST_F(FALLBACK_MULTI_THREADS, CONVBIAS_GI_WINOGRAD_F23_4_NCHW44) {
+    using namespace conv_bias;
+    std::vector<TestArg> args =
+            get_nchw44_conv_bias_args({3}, QUAN_NLMODE, BR_AND_NO_BIASMODE, 1);
+    Checker<ConvBiasForward> checker(handle());
+    check_winograd(
+            "4:2:32", checker, args, param::MatrixMul::Format::MK4,
+            param::ConvBias::Format::NCHW44);
+}
+
+TEST_F(FALLBACK_MULTI_THREADS, CONVBIAS_GI_WINOGRAD_F23_4_WEIGHT_PREPROCESS) {
+    using namespace conv_bias;
+    std::vector<TestArg> args = get_winograd_mk_packed_args();
+    Checker<ConvBiasForward, OprWeightPreprocessProxy<ConvBiasForward>> checker(
+            handle());
+    check_winograd("4:2:32", checker, args, param::MatrixMul::Format::MK4);
+}
+
+TEST_F(FALLBACK_MULTI_THREADS, CONVBIAS_GI_WINOGRAD_F23_4_NCHW44_WEIGHT_PREPROCESS) {
+    using namespace conv_bias;
+    std::vector<TestArg> args =
+            get_nchw44_conv_bias_args({3}, QUAN_NLMODE, BR_AND_NO_BIASMODE, 1);
+    Checker<ConvBiasForward, OprWeightPreprocessProxy<ConvBiasForward>> checker(
+            handle());
+    check_winograd(
+            "4:2:32", checker, args, param::MatrixMul::Format::MK4,
+            param::ConvBias::Format::NCHW44);
+}
+
+TEST_F(FALLBACK, CONVBIAS_GI_WINOGRAD_F63_4) {
+    using namespace conv_bias;
+    std::vector<TestArg> args = get_winograd_mk_packed_args();
+    Checker<ConvBiasForward> checker(handle());
+
+    check_winograd("4:6:16", checker, args, param::MatrixMul::Format::MK4);
+}
+
+TEST_F(FALLBACK, CONVBIAS_GI_WINOGRAD_F63_4_WEIGHT_PREPROCESS) {
+    using namespace conv_bias;
+    std::vector<TestArg> args = get_winograd_mk_packed_args();
+    Checker<ConvBiasForward, OprWeightPreprocessProxy<ConvBiasForward>> checker(
+            handle());
+
+    check_winograd("4:6:16", checker, args, param::MatrixMul::Format::MK4);
+}
+
+TEST_F(FALLBACK_MULTI_THREADS, CONVBIAS_GI_WINOGRAD_F63) {
+    using namespace conv_bias;
+    std::vector<TestArg> args = get_winograd_args(3);
+    Checker<ConvBiasForward> checker(handle());
+
+    check_winograd("1:6:32", checker, args);
+}
+
+TEST_F(FALLBACK_MULTI_THREADS, CONVBIAS_GI_WINOGRAD_F63_4) {
+    using namespace conv_bias;
+    std::vector<TestArg> args = get_winograd_mk_packed_args();
+    Checker<ConvBiasForward> checker(handle());
+
+    check_winograd("4:6:16", checker, args, param::MatrixMul::Format::MK4);
+}
+
+TEST_F(FALLBACK_MULTI_THREADS, CONVBIAS_GI_WINOGRAD_F63_4_NCHW44) {
+    using namespace conv_bias;
+    std::vector<TestArg> args =
+            get_nchw44_conv_bias_args({3}, QUAN_NLMODE, BR_AND_NO_BIASMODE, 1);
+    Checker<ConvBiasForward> checker(handle());
+    check_winograd(
+            "4:6:16", checker, args, param::MatrixMul::Format::MK4,
+            param::ConvBias::Format::NCHW44);
+}
+
+TEST_F(FALLBACK_MULTI_THREADS, CONVBIAS_GI_WINOGRAD_F54) {
+    using namespace conv_bias;
+    std::vector<TestArg> args = get_winograd_args(4);
+    Checker<ConvBiasForward> checker(handle());
+
+    check_winograd("1:5:32", checker, args);
+}
+
+TEST_F(FALLBACK_MULTI_THREADS, CONVBIAS_GI_WINOGRAD_F45) {
+    using namespace conv_bias;
+    std::vector<TestArg> args = get_winograd_args(5);
+    Checker<ConvBiasForward> checker(handle());
+
+    check_winograd("1:4:32", checker, args);
+}
+
+TEST_F(FALLBACK_MULTI_THREADS, CONVBIAS_GI_WINOGRAD_F63_WEIGHT_PREPROCESS) {
+    using namespace conv_bias;
+    std::vector<TestArg> args = get_winograd_args(3);
+    Checker<ConvBiasForward, OprWeightPreprocessProxy<ConvBiasForward>> checker(
+            handle());
+    check_winograd("1:6:32", checker, args);
+}
+
+TEST_F(FALLBACK_MULTI_THREADS, CONVBIAS_GI_WINOGRAD_F63_4_WEIGHT_PREPROCESS) {
+    using namespace conv_bias;
+    std::vector<TestArg> args = get_winograd_mk_packed_args();
+    Checker<ConvBiasForward, OprWeightPreprocessProxy<ConvBiasForward>> checker(
+            handle());
+
+    check_winograd("4:6:16", checker, args, param::MatrixMul::Format::MK4);
+}
+
+TEST_F(FALLBACK_MULTI_THREADS, CONVBIAS_GI_WINOGRAD_F63_4_NCHW44_WEIGHT_PREPROCESS) {
+    using namespace conv_bias;
+    std::vector<TestArg> args =
+            get_nchw44_conv_bias_args({3}, QUAN_NLMODE, BR_AND_NO_BIASMODE, 1);
+    Checker<ConvBiasForward, OprWeightPreprocessProxy<ConvBiasForward>> checker(
+            handle());
+    check_winograd(
+            "4:6:16", checker, args, param::MatrixMul::Format::MK4,
+            param::ConvBias::Format::NCHW44);
+}
+
+TEST_F(FALLBACK_MULTI_THREADS, CONVBIAS_GI_WINOGRAD_F54_WEIGHT_PREPROCESS) {
+    using namespace conv_bias;
+    std::vector<TestArg> args = get_winograd_args(4);
+    Checker<ConvBiasForward, OprWeightPreprocessProxy<ConvBiasForward>> checker(
+            handle());
+    check_winograd("1:5:32", checker, args);
+}
+
+TEST_F(FALLBACK_MULTI_THREADS, CONVBIAS_GI_WINOGRAD_F45_WEIGHT_PREPROCESS) {
+    using namespace conv_bias;
+    std::vector<TestArg> args = get_winograd_args(5);
+    Checker<ConvBiasForward, OprWeightPreprocessProxy<ConvBiasForward>> checker(
+            handle());
+    check_winograd("1:4:32", checker, args);
+}
+
 TEST_F(FALLBACK_MULTI_THREADS, CONVBIAS_GI_WINOGRAD_PREPROCESS_NCHW44) {
     using namespace conv_bias;
     std::vector<TestArg> nchw44_args = conv_bias::get_nchw44_conv_bias_args(