## Bar Chart: Latency vs. Batch Size for FP16 and INT8
### Overview
This bar chart displays the latency in milliseconds (ms) for two different data types, FP16 and INT8, across various batch sizes. The x-axis represents the batch size, and the y-axis represents the latency. For each batch size, there are two bars: one for FP16 (light gray) and one for INT8 (dark red).
### Components/Axes
* **Y-axis Title**: "Latency(ms)"
* **Scale**: Linear, ranging from 0.0 to 50.0.
* **Tick Marks**: 0.0, 12.5, 25.0, 37.5, 50.0.
* **X-axis Title**: "Batch Size"
* **Categories**: 1, 8, 16, 32.
* **Legend**: Located in the top-left quadrant of the chart.
* **FP16**: Represented by a light gray rectangle.
* **INT8**: Represented by a dark red rectangle.
### Detailed Analysis
The chart presents latency values for batch sizes of 1, 8, 16, and 32.
**Batch Size 1:**
* **FP16**: The light gray bar reaches a height of approximately 2.24 ms.
* **INT8**: The dark red bar reaches a height of approximately 2.26 ms.
**Batch Size 8:**
* **FP16**: The light gray bar reaches a height of approximately 11.14 ms.
* **INT8**: The dark red bar reaches a height of approximately 7.93 ms.
**Batch Size 16:**
* **FP16**: The light gray bar reaches a height of approximately 21.5 ms.
* **INT8**: The dark red bar reaches a height of approximately 14.66 ms.
**Batch Size 32:**
* **FP16**: The light gray bar reaches a height of approximately 43.81 ms.
* **INT8**: The dark red bar reaches a height of approximately 29.07 ms.
### Key Observations
* **General Trend**: For both FP16 and INT8, latency generally increases as the batch size increases.
* **FP16 Trend**: The latency for FP16 shows a significant upward trend, with a substantial jump from batch size 16 to 32.
* **INT8 Trend**: The latency for INT8 also increases with batch size, but at a less dramatic rate compared to FP16, especially at larger batch sizes.
* **Comparison**: At batch size 1, the latencies are very similar. However, as batch size increases, FP16 consistently shows higher latency than INT8, with the difference becoming more pronounced at batch sizes 16 and 32.
### Interpretation
This chart demonstrates the impact of batch size on latency for different data precisions (FP16 and INT8). The data suggests that while increasing batch size generally leads to higher latency for both precisions, INT8 exhibits better scalability and lower latency at larger batch sizes compared to FP16. This implies that for applications where latency is a critical factor and large batch sizes are utilized, INT8 might be a more performant choice. The significant increase in latency for FP16 at batch size 32 could indicate a bottleneck or a point where the computational overhead of FP16 becomes more dominant.
