docs: update docs and benchmarks for FastSAM model (#1151)

## Description

Adds missing benchmarks for FastSAM models and polishes the docs for it.

### Introduces a breaking change?

- [ ] Yes
- [x] No

### Type of change

- [ ] Bug fix (change which fixes an issue)
- [ ] New feature (change which adds functionality)
- [x] Documentation update (improves or adds clarity to existing
documentation)
- [ ] Other (chores, tests, code style improvements etc.)

### Tested on

- [ ] iOS
- [ ] Android

### Testing instructions

<!-- Provide step-by-step instructions on how to test your changes.
Include setup details if necessary. -->
N/A

### Screenshots

<!-- Add screenshots here, if applicable -->

### Related issues

<!-- Link related issues here using #issue-number -->

### Checklist

- [ ] I have performed a self-review of my code
- [ ] I have commented my code, particularly in hard-to-understand areas
- [ ] I have updated the documentation accordingly
- [ ] My changes generate no new warnings

### Additional notes

<!-- Include any additional information, assumptions, or context that
reviewers might need to understand this PR. -->

Author: barhanc

docs/docs/02-benchmarks/inference-time.md

@@ -243,8 +243,8 @@ Nano Seg uses a fixed resolution of 312×312.
 | YOLO26L_SEG (XNNPACK)      |           680           |        608         |      582      |
 | YOLO26X_SEG (XNNPACK)      |          1410           |        1338        |     1191      |
 | RF_DETR_NANO_SEG (XNNPACK) |           549           |        330         |      428      |
-| FASTSAM_S (XNNPACK)        |            -            |         30         |      286      |
-| FASTSAM_X (XNNPACK)        |            -            |        2520        |     1993      |
+| FASTSAM_S (XNNPACK)        |           184           |         30         |      286      |
+| FASTSAM_X (XNNPACK)        |          1886           |        2520        |     1993      |
 | FASTSAM_S (Core ML)        |            -            |         51         |       -       |
 | FASTSAM_X (Core ML)        |            -            |         72         |       -       |
 

docs/docs/02-benchmarks/memory-usage.md

@@ -130,7 +130,7 @@ with higher resolutions.
 ## Instance Segmentation
 
 :::note
-Data presented in the following sections is based on inference with forward_640 method.
+Data presented in the following sections is based on inference with 640x640 input.
 :::
 
 | Model / Device             | iPhone 17 Pro [MB] | OnePlus 12 [MB] |
@@ -141,6 +141,10 @@ Data presented in the following sections is based on inference with forward_640
 | YOLO26L_SEG (XNNPACK)      |        1024        |       680       |
 | YOLO26X_SEG (XNNPACK)      |        1450        |      1410       |
 | RF_DETR_NANO_SEG (XNNPACK) |        603         |       620       |
+| FASTSAM_S (XNNPACK FP32)   |        535         |       567       |
+| FASTSAM_X (XNNPACK FP32)   |        760         |       792       |
+| FASTSAM_S (Core ML FP16)   |        523         |        -        |
+| FASTSAM_X (Core ML FP16)   |        684         |        -        |
 
 ## Text to Image
 

docs/docs/03-hooks/02-computer-vision/useInstanceSegmentation.md

@@ -179,6 +179,12 @@ try {
 }
 ```
 
+For detailed API Reference for `selectByPoint`, `selectByBox`, and `selectByText` see their respective documentation pages:
+
+- [`selectByPoint` API Reference](../../06-api-reference/functions/selectByPoint.md)
+- [`selectByBox` API Reference](../../06-api-reference/functions/selectByBox.md)
+- [`selectByText` API Reference](../../06-api-reference/functions/selectByText.md)
+
 :::tip
 Use FastSAM-S for faster performance on simple images with non-overlapping
 instances and FastSAM-X for better accuracy on complex scenes with many