diff --git a/js/common/lib/env.ts b/js/common/lib/env.ts
index e70f608ad7030..d6d9f7fa48790 100644
--- a/js/common/lib/env.ts
+++ b/js/common/lib/env.ts
@@ -45,17 +45,19 @@ export declare namespace Env {
      *
      * This setting is available only when WebAssembly SIMD feature is available in current context.
      *
+     * @defaultValue `true`
+     *
      * @deprecated This property is deprecated. Since SIMD is supported by all major JavaScript engines, non-SIMD
      * build is no longer provided. This property will be removed in future release.
-     * @defaultValue `true`
      */
     simd?: boolean;
 
     /**
      * set or get a boolean value indicating whether to enable trace.
      *
-     * @deprecated Use `env.trace` instead. If `env.trace` is set, this property will be ignored.
      * @defaultValue `false`
+     *
+     * @deprecated Use `env.trace` instead. If `env.trace` is set, this property will be ignored.
      */
     trace?: boolean;
 
@@ -153,7 +155,7 @@ export declare namespace Env {
     /**
      * Set or get the profiling configuration.
      */
-    profiling?: {
+    profiling: {
       /**
        * Set or get the profiling mode.
        *
@@ -176,6 +178,9 @@ export declare namespace Env {
      * See {@link https://gpuweb.github.io/gpuweb/#dictdef-gpurequestadapteroptions} for more details.
      *
      * @defaultValue `undefined`
+     *
+     * @deprecated Create your own GPUAdapter, use it to create a GPUDevice instance and set {@link device} property if
+     * you want to use a specific power preference.
      */
     powerPreference?: 'low-power' | 'high-performance';
     /**
@@ -187,6 +192,9 @@ export declare namespace Env {
      * See {@link https://gpuweb.github.io/gpuweb/#dictdef-gpurequestadapteroptions} for more details.
      *
      * @defaultValue `undefined`
+     *
+     * @deprecated Create your own GPUAdapter, use it to create a GPUDevice instance and set {@link device} property if
+     * you want to use a specific fallback option.
      */
     forceFallbackAdapter?: boolean;
     /**
@@ -199,16 +207,25 @@ export declare namespace Env {
      * value will be the GPU adapter that created by the underlying WebGPU backend.
      *
      * When use with TypeScript, the type of this property is `GPUAdapter` defined in "@webgpu/types".
+     *
+     * @deprecated It is no longer recommended to use this property. The latest WebGPU spec adds `GPUDevice.adapterInfo`
+     * (https://www.w3.org/TR/webgpu/#dom-gpudevice-adapterinfo), which allows to get the adapter information from the
+     * device. When it's available, there is no need to set/get the {@link adapter} property.
      */
     adapter: TryGetGlobalType<'GPUAdapter'>;
     /**
-     * Get the device for WebGPU.
-     *
-     * This property is only available after the first WebGPU inference session is created.
+     * Set or get the GPU device for WebGPU.
      *
-     * When use with TypeScript, the type of this property is `GPUDevice` defined in "@webgpu/types".
+     * There are 3 valid scenarios of accessing this property:
+     * - Set a value before the first WebGPU inference session is created. The value will be used by the WebGPU backend
+     * to perform calculations. If the value is not a `GPUDevice` object, an error will be thrown.
+     * - Get the value before the first WebGPU inference session is created. This will try to create a new GPUDevice
+     * instance. Returns a `Promise` that resolves to a `GPUDevice` object.
+     * - Get the value after the first WebGPU inference session is created. Returns a resolved `Promise` to the
+     * `GPUDevice` object used by the WebGPU backend.
      */
-    readonly device: TryGetGlobalType<'GPUDevice'>;
+    get device(): Promise<TryGetGlobalType<'GPUDevice'>>;
+    set device(value: TryGetGlobalType<'GPUDevice'>);
     /**
      * Set or get whether validate input content.
      *
diff --git a/js/web/test/test-runner.ts b/js/web/test/test-runner.ts
index d54ba32f9f494..5de39535a5c07 100644
--- a/js/web/test/test-runner.ts
+++ b/js/web/test/test-runner.ts
@@ -586,11 +586,11 @@ export class TensorResultValidator {
   }
 }
 
-function createGpuTensorForInput(cpuTensor: ort.Tensor): ort.Tensor {
+async function createGpuTensorForInput(cpuTensor: ort.Tensor): Promise<ort.Tensor> {
   if (!isGpuBufferSupportedType(cpuTensor.type) || Array.isArray(cpuTensor.data)) {
     throw new Error(`createGpuTensorForInput can not work with ${cpuTensor.type} tensor`);
   }
-  const device = ort.env.webgpu.device as GPUDevice;
+  const device = await ort.env.webgpu.device;
   const gpuBuffer = device.createBuffer({
     // eslint-disable-next-line no-bitwise
     usage: GPUBufferUsage.COPY_SRC | GPUBufferUsage.COPY_DST | GPUBufferUsage.STORAGE,
@@ -612,14 +612,14 @@ function createGpuTensorForInput(cpuTensor: ort.Tensor): ort.Tensor {
   });
 }
 
-function createGpuTensorForOutput(type: ort.Tensor.Type, dims: readonly number[]) {
+async function createGpuTensorForOutput(type: ort.Tensor.Type, dims: readonly number[]) {
   if (!isGpuBufferSupportedType(type)) {
     throw new Error(`createGpuTensorForOutput can not work with ${type} tensor`);
   }
 
   const size = calculateTensorSizeInBytes(tensorDataTypeStringToEnum(type), dims)!;
 
-  const device = ort.env.webgpu.device as GPUDevice;
+  const device = await ort.env.webgpu.device;
   const gpuBuffer = device.createBuffer({
     // eslint-disable-next-line no-bitwise
     usage: GPUBufferUsage.COPY_SRC | GPUBufferUsage.COPY_DST | GPUBufferUsage.STORAGE,
@@ -725,7 +725,7 @@ export async function sessionRun(options: {
             if (options.ioBinding === 'ml-location' || options.ioBinding === 'ml-tensor') {
               feeds[name] = await createMLTensorForInput(options.mlContext!, feeds[name]);
             } else {
-              feeds[name] = createGpuTensorForInput(feeds[name]);
+              feeds[name] = await createGpuTensorForInput(feeds[name]);
             }
           }
         }
@@ -742,7 +742,7 @@ export async function sessionRun(options: {
             if (options.ioBinding === 'ml-tensor') {
               fetches[name] = await createMLTensorForOutput(options.mlContext!, type, dims);
             } else {
-              fetches[name] = createGpuTensorForOutput(type, dims);
+              fetches[name] = await createGpuTensorForOutput(type, dims);
             }
           }
         }