From d59a66f7c2dc21f0f57f3116b0904fb222831a91 Mon Sep 17 00:00:00 2001
From: Lakshantha Dissanayake <lakshanthad@yahoo.com>
Date: Mon, 2 Dec 2024 06:49:32 -0800
Subject: [PATCH] Add `MNN` benchmarks to Raspberry Pi doc (#17910)

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
---
 docs/en/guides/raspberry-pi.md | 47 +++++++++++++++++++---------------
 1 file changed, 26 insertions(+), 21 deletions(-)

diff --git a/docs/en/guides/raspberry-pi.md b/docs/en/guides/raspberry-pi.md
index a834d8f074..ef41d0f8cf 100644
--- a/docs/en/guides/raspberry-pi.md
+++ b/docs/en/guides/raspberry-pi.md
@@ -142,9 +142,10 @@ YOLO11 benchmarks were run by the Ultralytics team on nine different model forma
 
 We have only included benchmarks for YOLO11n and YOLO11s models because other models sizes are too big to run on the Raspberry Pis and does not offer decent performance.
 
-<div style="text-align: center;">
-    <img width="800" src="https://github.com/ultralytics/docs/releases/download/0/rpi-yolo11-benchmarks.avif" alt="YOLO11 benchmarks on RPi 5">
-</div>
+<figure style="text-align: center;">
+    <img width="800" src="https://github.com/ultralytics/assets/releases/download/v0.0.0/rpi-yolo11-benchmarks.avif" alt="YOLO11 benchmarks on RPi 5">
+    <figcaption style="font-style: italic; color: gray;">Benchmarked with Ultralytics v8.3.39</figcaption>
+</figure>
 
 ### Detailed Comparison Table
 
@@ -156,29 +157,33 @@ The below table represents the benchmark results for two different models (YOLO1
 
         | Format        | Status | Size on disk (MB) | mAP50-95(B) | Inference time (ms/im) |
         |---------------|--------|-------------------|-------------|------------------------|
-        | PyTorch       | ✅      | 5.4               | 0.61        | 524.828                |
-        | TorchScript   | ✅      | 10.5              | 0.6082      | 666.874                |
-        | ONNX          | ✅      | 10.2              | 0.6082      | 181.818                |
-        | OpenVINO      | ✅      | 10.4              | 0.6082      | 530.224                |
-        | TF SavedModel | ✅      | 25.8              | 0.6082      | 405.964                |
-        | TF GraphDef   | ✅      | 10.3              | 0.6082      | 473.558                |
-        | TF Lite       | ✅      | 10.3              | 0.6082      | 324.158                |
-        | PaddlePaddle  | ✅      | 20.4              | 0.6082      | 644.312                |
-        | NCNN          | ✅      | 10.2              | 0.6106      | 93.938                 |
+        | PyTorch       | ✅      | 5.4               | 0.6100      | 405.238                |
+        | TorchScript   | ✅      | 10.5              | 0.6082      | 526.628                |
+        | ONNX          | ✅      | 10.2              | 0.6082      | 168.082                |
+        | OpenVINO      | ✅      | 10.4              | 0.6082      | 81.192                 |
+        | TF SavedModel | ✅      | 25.8              | 0.6082      | 377.968                |
+        | TF GraphDef   | ✅      | 10.3              | 0.6082      | 487.244                |
+        | TF Lite       | ✅      | 10.3              | 0.6082      | 317.398                |
+        | PaddlePaddle  | ✅      | 20.4              | 0.6082      | 561.892                |
+        | MNN           | ✅      | 10.1              | 0.6106      | 112.554                |
+        | NCNN          | ✅      | 10.2              | 0.6106      | 88.026                 |
 
     === "YOLO11s"
 
         | Format        | Status | Size on disk (MB) | mAP50-95(B) | Inference time (ms/im) |
         |---------------|--------|-------------------|-------------|------------------------|
-        | PyTorch       | ✅      | 18.4              | 0.7526      | 1226.426               |
-        | TorchScript   | ✅      | 36.5              | 0.7416      | 1507.95                |
-        | ONNX          | ✅      | 36.3              | 0.7416      | 415.24                 |
-        | OpenVINO      | ✅      | 36.4              | 0.7416      | 1167.102               |
-        | TF SavedModel | ✅      | 91.1              | 0.7416      | 776.14                 |
-        | TF GraphDef   | ✅      | 36.4              | 0.7416      | 1014.396               |
-        | TF Lite       | ✅      | 36.4              | 0.7416      | 845.934                |
-        | PaddlePaddle  | ✅      | 72.5              | 0.7416      | 1567.824               |
-        | NCNN          | ✅      | 36.2              | 0.7419      | 197.358                |
+        | PyTorch       | ✅      | 18.4              | 0.7526      | 1011.60                |
+        | TorchScript   | ✅      | 36.5              | 0.7416      | 1268.502               |
+        | ONNX          | ✅      | 36.3              | 0.7416      | 324.17                 |
+        | OpenVINO      | ✅      | 36.4              | 0.7416      | 179.324                |
+        | TF SavedModel | ✅      | 91.1              | 0.7416      | 714.382                |
+        | TF GraphDef   | ✅      | 36.4              | 0.7416      | 1019.83                |
+        | TF Lite       | ✅      | 36.4              | 0.7416      | 849.86                 |
+        | PaddlePaddle  | ✅      | 72.5              | 0.7416      | 1276.34                |
+        | MNN           | ✅      | 36.2              | 0.7409      | 273.032                |
+        | NCNN          | ✅      | 36.2              | 0.7419      | 194.858                |
+
+    Benchmarked with Ultralytics `v8.3.39`
 
 ## Reproduce Our Results