diff --git a/app/test-mldev/meson.build b/app/test-mldev/meson.build
index b09e1ccc8a..475d76d126 100644
--- a/app/test-mldev/meson.build
+++ b/app/test-mldev/meson.build
@@ -16,6 +16,8 @@ sources = files(
         'test_device_ops.c',
         'test_model_common.c',
         'test_model_ops.c',
+        'test_inference_common.c',
+        'test_inference_ordered.c',
 )
 
 deps += ['mldev']
diff --git a/app/test-mldev/ml_options.c b/app/test-mldev/ml_options.c
index 8e40a33ed0..59a5d16584 100644
--- a/app/test-mldev/ml_options.c
+++ b/app/test-mldev/ml_options.c
@@ -29,6 +29,7 @@ ml_options_default(struct ml_options *opt)
 	opt->dev_id = 0;
 	opt->socket_id = SOCKET_ID_ANY;
 	opt->nb_filelist = 0;
+	opt->repetitions = 1;
 	opt->debug = false;
 }
 
@@ -96,6 +97,60 @@ ml_parse_models(struct ml_options *opt, const char *arg)
 	return ret;
 }
 
+static int
+ml_parse_filelist(struct ml_options *opt, const char *arg)
+{
+	const char *delim = ",";
+	char filelist[PATH_MAX];
+	char *token;
+
+	if (opt->nb_filelist >= ML_TEST_MAX_MODELS) {
+		ml_err("Exceeded filelist count, max = %d\n", ML_TEST_MAX_MODELS);
+		return -1;
+	}
+
+	strlcpy(filelist, arg, PATH_MAX);
+
+	/* model */
+	token = strtok(filelist, delim);
+	if (token == NULL) {
+		ml_err("Invalid filelist, model not specified = %s\n", arg);
+		return -EINVAL;
+	}
+	strlcpy(opt->filelist[opt->nb_filelist].model, token, PATH_MAX);
+
+	/* input */
+	token = strtok(NULL, delim);
+	if (token == NULL) {
+		ml_err("Invalid filelist, input not specified = %s\n", arg);
+		return -EINVAL;
+	}
+	strlcpy(opt->filelist[opt->nb_filelist].input, token, PATH_MAX);
+
+	/* output */
+	token = strtok(NULL, delim);
+	if (token == NULL) {
+		ml_err("Invalid filelist, output not specified = %s\n", arg);
+		return -EINVAL;
+	}
+	strlcpy(opt->filelist[opt->nb_filelist].output, token, PATH_MAX);
+
+	opt->nb_filelist++;
+
+	if (opt->nb_filelist == 0) {
+		ml_err("Empty filelist. Need atleast one filelist entry for the test.");
+		return -EINVAL;
+	}
+
+	return 0;
+}
+
+static int
+ml_parse_repetitions(struct ml_options *opt, const char *arg)
+{
+	return parser_read_uint64(&opt->repetitions, arg);
+}
+
 static void
 ml_dump_test_options(const char *testname)
 {
@@ -106,6 +161,12 @@ ml_dump_test_options(const char *testname)
 		printf("\t\t--models           : comma separated list of models\n");
 		printf("\n");
 	}
+
+	if (strcmp(testname, "inference_ordered") == 0) {
+		printf("\t\t--filelist         : comma separated list of model, input and output\n"
+		       "\t\t--repetitions      : number of inference repetitions\n");
+		printf("\n");
+	}
 }
 
 static void
@@ -124,8 +185,9 @@ print_usage(char *program)
 }
 
 static struct option lgopts[] = {
-	{ML_TEST, 1, 0, 0},  {ML_DEVICE_ID, 1, 0, 0}, {ML_SOCKET_ID, 1, 0, 0}, {ML_MODELS, 1, 0, 0},
-	{ML_DEBUG, 0, 0, 0}, {ML_HELP, 0, 0, 0},      {NULL, 0, 0, 0}};
+	{ML_TEST, 1, 0, 0},   {ML_DEVICE_ID, 1, 0, 0}, {ML_SOCKET_ID, 1, 0, 0},
+	{ML_MODELS, 1, 0, 0}, {ML_FILELIST, 1, 0, 0},  {ML_REPETITIONS, 1, 0, 0},
+	{ML_DEBUG, 0, 0, 0},  {ML_HELP, 0, 0, 0},      {NULL, 0, 0, 0}};
 
 static int
 ml_opts_parse_long(int opt_idx, struct ml_options *opt)
@@ -133,10 +195,9 @@ ml_opts_parse_long(int opt_idx, struct ml_options *opt)
 	unsigned int i;
 
 	struct long_opt_parser parsermap[] = {
-		{ML_TEST, ml_parse_test_name},
-		{ML_DEVICE_ID, ml_parse_dev_id},
-		{ML_SOCKET_ID, ml_parse_socket_id},
-		{ML_MODELS, ml_parse_models},
+		{ML_TEST, ml_parse_test_name},	    {ML_DEVICE_ID, ml_parse_dev_id},
+		{ML_SOCKET_ID, ml_parse_socket_id}, {ML_MODELS, ml_parse_models},
+		{ML_FILELIST, ml_parse_filelist},   {ML_REPETITIONS, ml_parse_repetitions},
 	};
 
 	for (i = 0; i < RTE_DIM(parsermap); i++) {
diff --git a/app/test-mldev/ml_options.h b/app/test-mldev/ml_options.h
index 8faf3b5deb..ad8aee5964 100644
--- a/app/test-mldev/ml_options.h
+++ b/app/test-mldev/ml_options.h
@@ -13,15 +13,19 @@
 #define ML_TEST_MAX_MODELS   8
 
 /* Options names */
-#define ML_TEST	     ("test")
-#define ML_DEVICE_ID ("dev_id")
-#define ML_SOCKET_ID ("socket_id")
-#define ML_MODELS    ("models")
-#define ML_DEBUG     ("debug")
-#define ML_HELP	     ("help")
+#define ML_TEST	       ("test")
+#define ML_DEVICE_ID   ("dev_id")
+#define ML_SOCKET_ID   ("socket_id")
+#define ML_MODELS      ("models")
+#define ML_FILELIST    ("filelist")
+#define ML_REPETITIONS ("repetitions")
+#define ML_DEBUG       ("debug")
+#define ML_HELP	       ("help")
 
 struct ml_filelist {
 	char model[PATH_MAX];
+	char input[PATH_MAX];
+	char output[PATH_MAX];
 };
 
 struct ml_options {
@@ -30,6 +34,7 @@ struct ml_options {
 	int socket_id;
 	struct ml_filelist filelist[ML_TEST_MAX_MODELS];
 	uint8_t nb_filelist;
+	uint64_t repetitions;
 	bool debug;
 };
 
diff --git a/app/test-mldev/test_inference_common.c b/app/test-mldev/test_inference_common.c
new file mode 100644
index 0000000000..e5e300ffdc
--- /dev/null
+++ b/app/test-mldev/test_inference_common.c
@@ -0,0 +1,565 @@
+/* SPDX-License-Identifier: BSD-3-Clause
+ * Copyright (c) 2022 Marvell.
+ */
+
+#include <errno.h>
+#include <stdbool.h>
+#include <stdint.h>
+#include <stdio.h>
+#include <unistd.h>
+
+#include <rte_common.h>
+#include <rte_launch.h>
+#include <rte_lcore.h>
+#include <rte_malloc.h>
+#include <rte_memzone.h>
+#include <rte_mldev.h>
+
+#include "ml_common.h"
+#include "ml_options.h"
+#include "ml_test.h"
+#include "test_common.h"
+#include "test_inference_common.h"
+
+/* Enqueue inference requests with burst size equal to 1 */
+static int
+ml_enqueue_single(void *arg)
+{
+	struct test_inference *t = ml_test_priv((struct ml_test *)arg);
+	struct ml_request *req = NULL;
+	struct rte_ml_op *op = NULL;
+	struct ml_core_args *args;
+	uint64_t model_enq = 0;
+	uint32_t burst_enq;
+	uint32_t lcore_id;
+	int16_t fid;
+	int ret;
+
+	lcore_id = rte_lcore_id();
+	args = &t->args[lcore_id];
+	model_enq = 0;
+
+	if (args->nb_reqs == 0)
+		return 0;
+
+next_rep:
+	fid = args->start_fid;
+
+next_model:
+	ret = rte_mempool_get(t->op_pool, (void **)&op);
+	if (ret != 0)
+		goto next_model;
+
+retry:
+	ret = rte_mempool_get(t->model[fid].io_pool, (void **)&req);
+	if (ret != 0)
+		goto retry;
+
+	op->model_id = t->model[fid].id;
+	op->nb_batches = t->model[fid].info.batch_size;
+	op->mempool = t->op_pool;
+
+	op->input.addr = req->input;
+	op->input.length = t->model[fid].inp_qsize;
+	op->input.next = NULL;
+
+	op->output.addr = req->output;
+	op->output.length = t->model[fid].out_qsize;
+	op->output.next = NULL;
+
+	op->user_ptr = req;
+	req->niters++;
+	req->fid = fid;
+
+enqueue_req:
+	burst_enq = rte_ml_enqueue_burst(t->cmn.opt->dev_id, 0, &op, 1);
+	if (burst_enq == 0)
+		goto enqueue_req;
+
+	fid++;
+	if (likely(fid <= args->end_fid))
+		goto next_model;
+
+	model_enq++;
+	if (likely(model_enq < args->nb_reqs))
+		goto next_rep;
+
+	return 0;
+}
+
+/* Dequeue inference requests with burst size equal to 1 */
+static int
+ml_dequeue_single(void *arg)
+{
+	struct test_inference *t = ml_test_priv((struct ml_test *)arg);
+	struct rte_ml_op_error error;
+	struct rte_ml_op *op = NULL;
+	struct ml_core_args *args;
+	struct ml_request *req;
+	uint64_t total_deq = 0;
+	uint8_t nb_filelist;
+	uint32_t burst_deq;
+	uint32_t lcore_id;
+
+	lcore_id = rte_lcore_id();
+	args = &t->args[lcore_id];
+	nb_filelist = args->end_fid - args->start_fid + 1;
+
+	if (args->nb_reqs == 0)
+		return 0;
+
+dequeue_req:
+	burst_deq = rte_ml_dequeue_burst(t->cmn.opt->dev_id, 0, &op, 1);
+
+	if (likely(burst_deq == 1)) {
+		total_deq += burst_deq;
+		if (unlikely(op->status == RTE_ML_OP_STATUS_ERROR)) {
+			rte_ml_op_error_get(t->cmn.opt->dev_id, op, &error);
+			ml_err("error_code = 0x%016lx, error_message = %s\n", error.errcode,
+			       error.message);
+		}
+		req = (struct ml_request *)op->user_ptr;
+		rte_mempool_put(t->model[req->fid].io_pool, req);
+		rte_mempool_put(t->op_pool, op);
+	}
+
+	if (likely(total_deq < args->nb_reqs * nb_filelist))
+		goto dequeue_req;
+
+	return 0;
+}
+
+bool
+test_inference_cap_check(struct ml_options *opt)
+{
+	struct rte_ml_dev_info dev_info;
+
+	if (!ml_test_cap_check(opt))
+		return false;
+
+	rte_ml_dev_info_get(opt->dev_id, &dev_info);
+	if (opt->nb_filelist > dev_info.max_models) {
+		ml_err("Insufficient capabilities:  Filelist count exceeded device limit, count = %u (max limit = %u)",
+		       opt->nb_filelist, dev_info.max_models);
+		return false;
+	}
+
+	return true;
+}
+
+int
+test_inference_opt_check(struct ml_options *opt)
+{
+	uint32_t i;
+	int ret;
+
+	/* check common opts */
+	ret = ml_test_opt_check(opt);
+	if (ret != 0)
+		return ret;
+
+	/* check file availability */
+	for (i = 0; i < opt->nb_filelist; i++) {
+		if (access(opt->filelist[i].model, F_OK) == -1) {
+			ml_err("Model file not accessible: id = %u, file = %s", i,
+			       opt->filelist[i].model);
+			return -ENOENT;
+		}
+
+		if (access(opt->filelist[i].input, F_OK) == -1) {
+			ml_err("Input file not accessible: id = %u, file = %s", i,
+			       opt->filelist[i].input);
+			return -ENOENT;
+		}
+	}
+
+	if (opt->repetitions == 0) {
+		ml_err("Invalid option, repetitions = %" PRIu64 "\n", opt->repetitions);
+		return -EINVAL;
+	}
+
+	/* check number of available lcores. */
+	if (rte_lcore_count() < 3) {
+		ml_err("Insufficient lcores = %u\n", rte_lcore_count());
+		ml_err("Minimum lcores required to create %u queue-pairs = %u\n", 1, 3);
+		return -EINVAL;
+	}
+
+	return 0;
+}
+
+void
+test_inference_opt_dump(struct ml_options *opt)
+{
+	uint32_t i;
+
+	/* dump common opts */
+	ml_test_opt_dump(opt);
+
+	/* dump test opts */
+	ml_dump("repetitions", "%" PRIu64, opt->repetitions);
+
+	ml_dump_begin("filelist");
+	for (i = 0; i < opt->nb_filelist; i++) {
+		ml_dump_list("model", i, opt->filelist[i].model);
+		ml_dump_list("input", i, opt->filelist[i].input);
+		ml_dump_list("output", i, opt->filelist[i].output);
+	}
+	ml_dump_end;
+}
+
+int
+test_inference_setup(struct ml_test *test, struct ml_options *opt)
+{
+	struct test_inference *t;
+	void *test_inference;
+	int ret = 0;
+	uint32_t i;
+
+	test_inference = rte_zmalloc_socket(test->name, sizeof(struct test_inference),
+					    RTE_CACHE_LINE_SIZE, opt->socket_id);
+	if (test_inference == NULL) {
+		ml_err("failed to allocate memory for test_model");
+		ret = -ENOMEM;
+		goto error;
+	}
+	test->test_priv = test_inference;
+	t = ml_test_priv(test);
+
+	t->nb_used = 0;
+	t->cmn.result = ML_TEST_FAILED;
+	t->cmn.opt = opt;
+
+	/* get device info */
+	ret = rte_ml_dev_info_get(opt->dev_id, &t->cmn.dev_info);
+	if (ret < 0) {
+		ml_err("failed to get device info");
+		goto error;
+	}
+
+	t->enqueue = ml_enqueue_single;
+	t->dequeue = ml_dequeue_single;
+
+	/* set model initial state */
+	for (i = 0; i < opt->nb_filelist; i++)
+		t->model[i].state = MODEL_INITIAL;
+
+	return 0;
+
+error:
+	if (test_inference != NULL)
+		rte_free(test_inference);
+
+	return ret;
+}
+
+void
+test_inference_destroy(struct ml_test *test, struct ml_options *opt)
+{
+	struct test_inference *t;
+
+	RTE_SET_USED(opt);
+
+	t = ml_test_priv(test);
+	if (t != NULL)
+		rte_free(t);
+}
+
+int
+ml_inference_mldev_setup(struct ml_test *test, struct ml_options *opt)
+{
+	struct rte_ml_dev_qp_conf qp_conf;
+	struct test_inference *t;
+	int ret;
+
+	t = ml_test_priv(test);
+
+	ret = ml_test_device_configure(test, opt);
+	if (ret != 0)
+		return ret;
+
+	/* setup queue pairs */
+	qp_conf.nb_desc = t->cmn.dev_info.max_desc;
+	qp_conf.cb = NULL;
+
+	ret = rte_ml_dev_queue_pair_setup(opt->dev_id, 0, &qp_conf, opt->socket_id);
+	if (ret != 0) {
+		ml_err("Failed to setup ml device queue-pair, dev_id = %d, qp_id = %u\n",
+		       opt->dev_id, 0);
+		goto error;
+	}
+
+	ret = ml_test_device_start(test, opt);
+	if (ret != 0)
+		goto error;
+
+	return 0;
+
+error:
+	ml_test_device_close(test, opt);
+
+	return ret;
+}
+
+int
+ml_inference_mldev_destroy(struct ml_test *test, struct ml_options *opt)
+{
+	int ret;
+
+	ret = ml_test_device_stop(test, opt);
+	if (ret != 0)
+		goto error;
+
+	ret = ml_test_device_close(test, opt);
+	if (ret != 0)
+		return ret;
+
+	return 0;
+
+error:
+	ml_test_device_close(test, opt);
+
+	return ret;
+}
+
+/* Callback for IO pool create. This function would compute the fields of ml_request
+ * structure and prepare the quantized input data.
+ */
+static void
+ml_request_initialize(struct rte_mempool *mp, void *opaque, void *obj, unsigned int obj_idx)
+{
+	struct test_inference *t = ml_test_priv((struct ml_test *)opaque);
+	struct ml_request *req = (struct ml_request *)obj;
+
+	RTE_SET_USED(mp);
+	RTE_SET_USED(obj_idx);
+
+	req->input = RTE_PTR_ADD(
+		obj, RTE_ALIGN_CEIL(sizeof(struct ml_request), t->cmn.dev_info.min_align_size));
+	req->output = RTE_PTR_ADD(req->input, RTE_ALIGN_CEIL(t->model[t->fid].inp_qsize,
+							     t->cmn.dev_info.min_align_size));
+	req->niters = 0;
+
+	/* quantize data */
+	rte_ml_io_quantize(t->cmn.opt->dev_id, t->model[t->fid].id,
+			   t->model[t->fid].info.batch_size, t->model[t->fid].input, req->input);
+}
+
+int
+ml_inference_iomem_setup(struct ml_test *test, struct ml_options *opt, int16_t fid)
+{
+	struct test_inference *t = ml_test_priv(test);
+	char mz_name[RTE_MEMZONE_NAMESIZE];
+	char mp_name[RTE_MEMPOOL_NAMESIZE];
+	const struct rte_memzone *mz;
+	uint64_t nb_buffers;
+	uint32_t buff_size;
+	uint32_t mz_size;
+	uint32_t fsize;
+	FILE *fp;
+	int ret;
+
+	/* get input buffer size */
+	ret = rte_ml_io_input_size_get(opt->dev_id, t->model[fid].id, t->model[fid].info.batch_size,
+				       &t->model[fid].inp_qsize, &t->model[fid].inp_dsize);
+	if (ret != 0) {
+		ml_err("Failed to get input size, model : %s\n", opt->filelist[fid].model);
+		return ret;
+	}
+
+	/* get output buffer size */
+	ret = rte_ml_io_output_size_get(opt->dev_id, t->model[fid].id,
+					t->model[fid].info.batch_size, &t->model[fid].out_qsize,
+					&t->model[fid].out_dsize);
+	if (ret != 0) {
+		ml_err("Failed to get input size, model : %s\n", opt->filelist[fid].model);
+		return ret;
+	}
+
+	/* allocate buffer for user data */
+	mz_size = t->model[fid].inp_dsize + t->model[fid].out_dsize;
+	sprintf(mz_name, "ml_user_data_%d", fid);
+	mz = rte_memzone_reserve(mz_name, mz_size, opt->socket_id, 0);
+	if (mz == NULL) {
+		ml_err("Memzone allocation failed for ml_user_data\n");
+		ret = -ENOMEM;
+		goto error;
+	}
+
+	t->model[fid].input = mz->addr;
+	t->model[fid].output = RTE_PTR_ADD(t->model[fid].input, t->model[fid].inp_dsize);
+
+	/* load input file */
+	fp = fopen(opt->filelist[fid].input, "r");
+	if (fp == NULL) {
+		ml_err("Failed to open input file : %s\n", opt->filelist[fid].input);
+		ret = -errno;
+		goto error;
+	}
+
+	fseek(fp, 0, SEEK_END);
+	fsize = ftell(fp);
+	fseek(fp, 0, SEEK_SET);
+	if (fsize != t->model[fid].inp_dsize) {
+		ml_err("Invalid input file, size = %u (expected size = %" PRIu64 ")\n", fsize,
+		       t->model[fid].inp_dsize);
+		ret = -EINVAL;
+		fclose(fp);
+		goto error;
+	}
+
+	if (fread(t->model[fid].input, 1, t->model[fid].inp_dsize, fp) != t->model[fid].inp_dsize) {
+		ml_err("Failed to read input file : %s\n", opt->filelist[fid].input);
+		ret = -errno;
+		fclose(fp);
+		goto error;
+	}
+	fclose(fp);
+
+	/* create mempool for quantized input and output buffers. ml_request_initialize is
+	 * used as a callback for object creation.
+	 */
+	buff_size = RTE_ALIGN_CEIL(sizeof(struct ml_request), t->cmn.dev_info.min_align_size) +
+		    RTE_ALIGN_CEIL(t->model[fid].inp_qsize, t->cmn.dev_info.min_align_size) +
+		    RTE_ALIGN_CEIL(t->model[fid].out_qsize, t->cmn.dev_info.min_align_size);
+	nb_buffers = RTE_MIN((uint64_t)ML_TEST_MAX_POOL_SIZE, opt->repetitions);
+
+	t->fid = fid;
+	sprintf(mp_name, "ml_io_pool_%d", fid);
+	t->model[fid].io_pool = rte_mempool_create(mp_name, nb_buffers, buff_size, 0, 0, NULL, NULL,
+						   ml_request_initialize, test, opt->socket_id, 0);
+	if (t->model[fid].io_pool == NULL) {
+		ml_err("Failed to create io pool : %s\n", "ml_io_pool");
+		ret = -ENOMEM;
+		goto error;
+	}
+
+	return 0;
+
+error:
+	if (mz != NULL)
+		rte_memzone_free(mz);
+
+	if (t->model[fid].io_pool != NULL) {
+		rte_mempool_free(t->model[fid].io_pool);
+		t->model[fid].io_pool = NULL;
+	}
+
+	return ret;
+}
+
+void
+ml_inference_iomem_destroy(struct ml_test *test, struct ml_options *opt, int16_t fid)
+{
+	char mz_name[RTE_MEMZONE_NAMESIZE];
+	char mp_name[RTE_MEMPOOL_NAMESIZE];
+	const struct rte_memzone *mz;
+	struct rte_mempool *mp;
+
+	RTE_SET_USED(test);
+	RTE_SET_USED(opt);
+
+	/* release user data memzone */
+	sprintf(mz_name, "ml_user_data_%d", fid);
+	mz = rte_memzone_lookup(mz_name);
+	if (mz != NULL)
+		rte_memzone_free(mz);
+
+	/* destroy io pool */
+	sprintf(mp_name, "ml_io_pool_%d", fid);
+	mp = rte_mempool_lookup(mp_name);
+	if (mp != NULL)
+		rte_mempool_free(mp);
+}
+
+int
+ml_inference_mem_setup(struct ml_test *test, struct ml_options *opt)
+{
+	struct test_inference *t = ml_test_priv(test);
+
+	/* create op pool */
+	t->op_pool = rte_ml_op_pool_create("ml_test_op_pool", ML_TEST_MAX_POOL_SIZE, 0, 0,
+					   opt->socket_id);
+	if (t->op_pool == NULL) {
+		ml_err("Failed to create op pool : %s\n", "ml_op_pool");
+		return -ENOMEM;
+	}
+
+	return 0;
+}
+
+void
+ml_inference_mem_destroy(struct ml_test *test, struct ml_options *opt)
+{
+	struct test_inference *t = ml_test_priv(test);
+
+	RTE_SET_USED(opt);
+
+	/* release op pool */
+	if (t->op_pool != NULL)
+		rte_mempool_free(t->op_pool);
+}
+
+/* Callback for mempool object iteration. This call would dequantize ouput data. */
+static void
+ml_request_finish(struct rte_mempool *mp, void *opaque, void *obj, unsigned int obj_idx)
+{
+	struct test_inference *t = ml_test_priv((struct ml_test *)opaque);
+	struct ml_request *req = (struct ml_request *)obj;
+	struct ml_model *model = &t->model[req->fid];
+
+	RTE_SET_USED(mp);
+	RTE_SET_USED(obj_idx);
+
+	if (req->niters == 0)
+		return;
+
+	t->nb_used++;
+	rte_ml_io_dequantize(t->cmn.opt->dev_id, model->id, t->model[req->fid].info.batch_size,
+			     req->output, model->output);
+}
+
+int
+ml_inference_result(struct ml_test *test, struct ml_options *opt, int16_t fid)
+{
+	struct test_inference *t = ml_test_priv(test);
+
+	RTE_SET_USED(opt);
+
+	rte_mempool_obj_iter(t->model[fid].io_pool, ml_request_finish, test);
+
+	if (t->nb_used > 0)
+		t->cmn.result = ML_TEST_SUCCESS;
+	else
+		t->cmn.result = ML_TEST_FAILED;
+
+	return t->cmn.result;
+}
+
+int
+ml_inference_launch_cores(struct ml_test *test, struct ml_options *opt, int16_t start_fid,
+			  int16_t end_fid)
+{
+	struct test_inference *t = ml_test_priv(test);
+	uint32_t lcore_id;
+	uint32_t id = 0;
+
+	RTE_LCORE_FOREACH_WORKER(lcore_id)
+	{
+		if (id == 2)
+			break;
+
+		t->args[lcore_id].nb_reqs = opt->repetitions;
+		t->args[lcore_id].start_fid = start_fid;
+		t->args[lcore_id].end_fid = end_fid;
+
+		if (id % 2 == 0)
+			rte_eal_remote_launch(t->enqueue, test, lcore_id);
+		else
+			rte_eal_remote_launch(t->dequeue, test, lcore_id);
+
+		id++;
+	}
+
+	return 0;
+}
diff --git a/app/test-mldev/test_inference_common.h b/app/test-mldev/test_inference_common.h
new file mode 100644
index 0000000000..91007954b4
--- /dev/null
+++ b/app/test-mldev/test_inference_common.h
@@ -0,0 +1,65 @@
+/* SPDX-License-Identifier: BSD-3-Clause
+ * Copyright (c) 2022 Marvell.
+ */
+
+#ifndef _ML_TEST_INFERENCE_COMMON_
+#define _ML_TEST_INFERENCE_COMMON_
+
+#include <stdbool.h>
+#include <stdint.h>
+
+#include <rte_common.h>
+#include <rte_mempool.h>
+
+#include "ml_options.h"
+#include "ml_test.h"
+#include "test_common.h"
+#include "test_model_common.h"
+
+struct ml_request {
+	void *input;
+	void *output;
+	int16_t fid;
+	uint64_t niters;
+};
+
+struct ml_core_args {
+	uint64_t nb_reqs;
+	int16_t start_fid;
+	int16_t end_fid;
+};
+
+struct test_inference {
+	/* common data */
+	struct test_common cmn;
+
+	/* test specific data */
+	struct ml_model model[ML_TEST_MAX_MODELS];
+	struct rte_mempool *op_pool;
+
+	uint64_t nb_used;
+	int16_t fid;
+
+	int (*enqueue)(void *arg);
+	int (*dequeue)(void *arg);
+
+	struct ml_core_args args[RTE_MAX_LCORE];
+} __rte_cache_aligned;
+
+bool test_inference_cap_check(struct ml_options *opt);
+int test_inference_opt_check(struct ml_options *opt);
+void test_inference_opt_dump(struct ml_options *opt);
+int test_inference_setup(struct ml_test *test, struct ml_options *opt);
+void test_inference_destroy(struct ml_test *test, struct ml_options *opt);
+
+int ml_inference_mldev_setup(struct ml_test *test, struct ml_options *opt);
+int ml_inference_mldev_destroy(struct ml_test *test, struct ml_options *opt);
+int ml_inference_iomem_setup(struct ml_test *test, struct ml_options *opt, int16_t fid);
+void ml_inference_iomem_destroy(struct ml_test *test, struct ml_options *opt, int16_t fid);
+int ml_inference_mem_setup(struct ml_test *test, struct ml_options *opt);
+void ml_inference_mem_destroy(struct ml_test *test, struct ml_options *opt);
+int ml_inference_result(struct ml_test *test, struct ml_options *opt, int16_t fid);
+int ml_inference_launch_cores(struct ml_test *test, struct ml_options *opt, int16_t start_fid,
+			      int16_t end_fid);
+
+#endif /* _ML_TEST_INFERENCE_COMMON_ */
diff --git a/app/test-mldev/test_inference_ordered.c b/app/test-mldev/test_inference_ordered.c
new file mode 100644
index 0000000000..84e6bf9109
--- /dev/null
+++ b/app/test-mldev/test_inference_ordered.c
@@ -0,0 +1,119 @@
+/* SPDX-License-Identifier: BSD-3-Clause
+ * Copyright (c) 2022 Marvell.
+ */
+
+#include <stdint.h>
+
+#include <rte_common.h>
+#include <rte_launch.h>
+
+#include "ml_common.h"
+#include "ml_test.h"
+#include "test_inference_common.h"
+#include "test_model_common.h"
+
+static int
+test_inference_ordered_driver(struct ml_test *test, struct ml_options *opt)
+{
+	struct test_inference *t;
+	int16_t fid = 0;
+	int ret = 0;
+
+	t = ml_test_priv(test);
+
+	ret = ml_inference_mldev_setup(test, opt);
+	if (ret != 0)
+		return ret;
+
+	ret = ml_inference_mem_setup(test, opt);
+	if (ret != 0)
+		return ret;
+
+next_model:
+	/* load model */
+	ret = ml_model_load(test, opt, &t->model[fid], fid);
+	if (ret != 0)
+		goto error;
+
+	/* start model */
+	ret = ml_model_start(test, opt, &t->model[fid], fid);
+	if (ret != 0)
+		goto error;
+
+	ret = ml_inference_iomem_setup(test, opt, fid);
+	if (ret != 0)
+		goto error;
+
+	/* launch inferences for one model using available queue pairs */
+	ret = ml_inference_launch_cores(test, opt, fid, fid);
+	if (ret != 0) {
+		ml_err("failed to launch cores");
+		goto error;
+	}
+
+	rte_eal_mp_wait_lcore();
+
+	ret = ml_inference_result(test, opt, fid);
+	if (ret != ML_TEST_SUCCESS)
+		goto error;
+
+	ml_inference_iomem_destroy(test, opt, fid);
+
+	/* stop model */
+	ret = ml_model_stop(test, opt, &t->model[fid], fid);
+	if (ret != 0)
+		goto error;
+
+	/* unload model */
+	ret = ml_model_unload(test, opt, &t->model[fid], fid);
+	if (ret != 0)
+		goto error;
+
+	fid++;
+	if (fid < opt->nb_filelist)
+		goto next_model;
+
+	ml_inference_mem_destroy(test, opt);
+
+	ret = ml_inference_mldev_destroy(test, opt);
+	if (ret != 0)
+		return ret;
+
+	t->cmn.result = ML_TEST_SUCCESS;
+
+	return 0;
+
+error:
+	ml_inference_iomem_destroy(test, opt, fid);
+	ml_inference_mem_destroy(test, opt);
+	ml_model_stop(test, opt, &t->model[fid], fid);
+	ml_model_unload(test, opt, &t->model[fid], fid);
+
+	t->cmn.result = ML_TEST_FAILED;
+
+	return ret;
+}
+
+static int
+test_inference_ordered_result(struct ml_test *test, struct ml_options *opt)
+{
+	struct test_inference *t;
+
+	RTE_SET_USED(opt);
+
+	t = ml_test_priv(test);
+
+	return t->cmn.result;
+}
+
+static const struct ml_test_ops inference_ordered = {
+	.cap_check = test_inference_cap_check,
+	.opt_check = test_inference_opt_check,
+	.opt_dump = test_inference_opt_dump,
+	.test_setup = test_inference_setup,
+	.test_destroy = test_inference_destroy,
+	.test_driver = test_inference_ordered_driver,
+	.test_result = test_inference_ordered_result,
+};
+
+ML_TEST_REGISTER(inference_ordered);
diff --git a/app/test-mldev/test_model_common.h b/app/test-mldev/test_model_common.h
index 302e4eb45f..c45ae80853 100644
--- a/app/test-mldev/test_model_common.h
+++ b/app/test-mldev/test_model_common.h
@@ -23,6 +23,16 @@ struct ml_model {
 	int16_t id;
 	struct rte_ml_model_info info;
 	enum model_state state;
+
+	uint64_t inp_dsize;
+	uint64_t inp_qsize;
+	uint64_t out_dsize;
+	uint64_t out_qsize;
+
+	uint8_t *input;
+	uint8_t *output;
+
+	struct rte_mempool *io_pool;
 };
 
 int ml_model_load(struct ml_test *test, struct ml_options *opt, struct ml_model *model,
