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The following commit(s) were added to refs/heads/main by this push:
     new 8c3d806  [DOCS] resizing and applying grid format to image (#35)
8c3d806 is described below

commit 8c3d806e8fa95d08e406a07e5fbae87a57cca973
Author: Kelly-Ann Dolor <[email protected]>
AuthorDate: Tue Sep 23 17:33:49 2025 -0700

    [DOCS] resizing and applying grid format to image (#35)
---
 docs/single-node-benchmarks.md | 11 ++++-------
 1 file changed, 4 insertions(+), 7 deletions(-)

diff --git a/docs/single-node-benchmarks.md b/docs/single-node-benchmarks.md
index 08f83c8..5a5d552 100644
--- a/docs/single-node-benchmarks.md
+++ b/docs/single-node-benchmarks.md
@@ -21,13 +21,11 @@ title: SpatialBench Single Node Benchmarks
 
 This page presents the SpatialBench single-node benchmark results for 
SedonaDB, DuckDB, and GeoPandas. The benchmark was conducted on September 22, 
2025, using SpatialBench v0.1.0 pre-release (commit 9094be8 on the main branch).
 
-Here are the results for v0.1 of the SpatialBench queries for scale factor 1 
(SF1):
+Here are the results for v0.1 of the SpatialBench queries for scale factor 1 
(SF1) and scale factor 10 (SF10):
 
-![Scale Factor 1 benchmark results](image/sf1.png)
-
-Here are the results for SF10:
-
-![Scale Factor 10 benchmark results](image/sf10.png)
+![Scale Factor 1 benchmark results](image/sf1.png){ width="400" }
+![Scale Factor 10 benchmark results](image/sf10.png){ width="400" }
+{: .grid }
 
 The remainder of this document summarizes the hardware and software versions, 
query methodologies for specific engines, and provides information on where to 
find the benchmark code.
 
@@ -35,7 +33,6 @@ The remainder of this document summarizes the hardware and 
software versions, qu
 
 This benchmark was run on an AWS EC2 m7i.2xlarge instance, which has 8 CPUs 
and 32 GB of RAM. We encourage you to try running SpatialBench on different 
hardware configurations and share your results with the community.
 
-
 ## Benchmark settings
 
 Here are the software versions used in this benchmark:

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