diff --git a/examples/ultralytics-yolo/README.md b/examples/ultralytics-yolo/README.md
index 37f2e91c4a..6ed18ddb50 100644
--- a/examples/ultralytics-yolo/README.md
+++ b/examples/ultralytics-yolo/README.md
@@ -60,10 +60,10 @@ run the following examples.
 to run inferences on images, videos, or webcam streams. For a full list of options
 `python annotate.py -h`.
 
-To run pruned-quantized YOLOv3 on a local webcam run:
+To run pruned-quantized YOLOv5s on a local webcam run:
 ```bash
 python annotate.py \
-    zoo:cv/detection/yolo_v3-spp/pytorch/ultralytics/coco/pruned_quant-aggressive_94 \
+    zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/pruned_quant-aggressive_94 \
     --source 0 \
     --quantized-inputs \
     --image-shape 416 416 \
@@ -79,7 +79,7 @@ corresponding webcam is available, an exception will be raised.
 `benchmark.py` is a script for benchmarking sparsified and quantized YOLO
 performance with DeepSparse.  For a full list of options run `python benchmark.py -h`.
 
-To run a benchmark run:
+To run a YOLOv3 pruned-quantized benchmark run:
 ```bash
 python benchmark.py \
     zoo:cv/detection/yolo_v3-spp/pytorch/ultralytics/coco/pruned_quant-aggressive_94 \
@@ -87,6 +87,14 @@ python benchmark.py \
     --quantized-inputs
 ```
 
+To run a YOLOv5s pruned-quantized benchmark run:
+```bash
+python benchmark.py \
+    zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/pruned_quant-aggressive_94 \
+    --batch-size 1 \
+    --quantized-inputs
+```
+
 Note for quantized performance, your CPU must support VNNI instructions.
 Review `/proc/cpuinfo` for the flag `avx512_vnni` to verify chipset compatibility.
 
@@ -106,13 +114,20 @@ The client can make requests into the server returning object detection results
 First, start up the host `server.py` with your model of choice, SparseZoo stubs are
 also supported.
 
-Example command:
+Example YOLOv3 Pruned Quantized command:
 ```bash
 python server.py \
     zoo:cv/detection/yolo_v3-spp/pytorch/ultralytics/coco/pruned_quant-aggressive_94 \
     --quantized-inputs
 ```
 
+Example YOLOv5s Pruned Quantized command:
+```bash
+python server.py \
+    zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/pruned_quant-aggressive_94 \
+    --quantized-inputs
+```
+
 You can leave that running as a detached process or in a spare terminal.
 
 This starts a Flask app with the DeepSparse Engine as the inference backend, accessible at `http://0.0.0.0:5543` by default.
diff --git a/examples/ultralytics-yolo/annotate.py b/examples/ultralytics-yolo/annotate.py
index 0b47eb0e04..f558e4a85b 100644
--- a/examples/ultralytics-yolo/annotate.py
+++ b/examples/ultralytics-yolo/annotate.py
@@ -92,9 +92,9 @@
     --image-shape 416 416
 
 ##########
-Example command for running video annotations with pruned quantized YOLOv3:
+Example command for running video annotations with pruned YOLOv5l:
 python annotate.py \
-    zoo:cv/detection/yolo_v3-spp/pytorch/ultralytics/coco/pruned-aggressive_97 \
+    zoo:cv/detection/yolov5-l/pytorch/ultralytics/coco/pruned-aggressive_98 \
     --source my_video.mp4 \
     --image-shape 416 416
 
diff --git a/examples/ultralytics-yolo/benchmark.py b/examples/ultralytics-yolo/benchmark.py
index 5524bfced6..eb814e2aa3 100644
--- a/examples/ultralytics-yolo/benchmark.py
+++ b/examples/ultralytics-yolo/benchmark.py
@@ -83,9 +83,9 @@
                         YOLOv3/YOLOv5 anchors
 
 ##########
-Example command for running a benchmark on a pruned quantized YOLOv3:
+Example command for running a benchmark on a pruned quantized YOLOv5s:
 python benchmark.py \
-    zoo:cv/detection/yolo_v3-spp/pytorch/ultralytics/coco/pruned_quant-aggressive_94 \
+    zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/pruned_quant-aggressive_94 \
     --batch-size 32 \
     --quantized-inputs
 
@@ -99,9 +99,9 @@
     --half-precision
 
 ##########
-Example for benchmarking on a local YOLOv3 ONNX with onnxruntime:
+Example for benchmarking on a local YOLOv5l ONNX with onnxruntime:
 python benchmark.py \
-    /PATH/TO/yolov3-spp.onnx \
+    /PATH/TO/yolov5l.onnx \
     --engine onnxruntime \
     --batch-size 32 \
 
@@ -112,7 +112,19 @@
 * Pruned YOLOv3 (87% sparse) -
     "zoo:cv/detection/yolo_v3-spp/pytorch/ultralytics/coco/pruned-aggressive-97"
 * Pruned-Quantized YOLOv3 (83% sparse, CPU must support VNNI) -
- "zoo:cv/detection/yolo_v3-spp/pytorch/ultralytics/coco/pruned_quant-aggressive-94"
+    "zoo:cv/detection/yolo_v3-spp/pytorch/ultralytics/coco/pruned_quant-aggressive-94"
+* Baseline dense YOLOv5l -
+    "zoo:cv/detection/yolov5-l/pytorch/ultralytics/coco/base-none"
+* Pruned YOLOv5l (86.3% sparse) -
+    "zoo:cv/detection/yolov5-l/pytorch/ultralytics/coco/pruned-aggressive_98"
+* Pruned-Quantized YOLOv5l (79.6% sparse, CPU must support VNNI) -
+    "zoo:cv/detection/yolov5-l/pytorch/ultralytics/coco/pruned_quant-aggressive_95"
+* Baseline dense YOLOv5s -
+    "zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/base-none"
+* Pruned YOLOv5s (75.6% sparse) -
+    "zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/pruned-aggressive_96"
+* Pruned-Quantized YOLOv5s (68.2% sparse, CPU must support VNNI) -
+    "zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/pruned_quant-aggressive_94"
 """
 
 
diff --git a/examples/ultralytics-yolo/server.py b/examples/ultralytics-yolo/server.py
index 11041ee9a0..eceae0d025 100644
--- a/examples/ultralytics-yolo/server.py
+++ b/examples/ultralytics-yolo/server.py
@@ -47,9 +47,14 @@
                         YOLOv3/YOLOv5 anchors
 
 ##########
-Example command for running:
+Example command for running from a local YOLOv3 file:
 python server.py \
-    ~/models/yolo-v3-pruned_quant.onnx
+    ~/models/yolo-v3-pruned.onnx
+
+##########
+Example command for running from a pruned YOLOv5s file:
+python server.py \
+    zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/pruned-aggressive_96
 """
 
 import argparse