Behind the Scenes of a Benchmark - What's Really Measured When You Measure Inference
Behind the Scenes of a Benchmark - What’s Really Measured When You Measure Inference
When we run a benchmark to check a model’s performance, it looks like we’re simply “checking speed.” But in practice, what’s being measured is delicate coordination between three software and hardware layers: Firmware → Driver → Runtime.
Step 1: Runtime - the One Managing All the Scheduling
When the benchmark starts, the runtime (say, PyTorch or TensorRT) receives the task: run the model.
It decides:
- which batch size to use
- how many threads to spin up
- and how to split the work between cores or accelerators
Every such decision affects two critical metrics:
- Latency (response time) - how long a single prediction takes
- Throughput (TPS) - how many predictions per second the system can sustain
Step 2: Driver - the One Translating Into Physical Operations
Once the runtime decides what to run, it sends commands to the driver. The driver ensures these commands reach the hardware correctly:
- it schedules the queues
- makes sure there are no conflicts
- and transfers data optimally to local memory
If the driver is well coordinated - every processing unit gets continuous work. If not - you’ll see “holes” in time, where the hardware waits for new requests.
Step 3: Firmware - the One Actually Executing
Here the magic becomes physical: firmware runs on the component itself and performs the actual computation - matrix multiplication, memory reads, cache management, and everything that makes up the inference operation.
If it isn’t built well, operations will execute in an inefficient order - for example, memory reads happening before the data is even ready. Every such delay translates directly into higher latency.
What Does This Mean During a Benchmark?
When you measure performance, you’re actually testing how well-synchronized the three layers are:
- A smart runtime knows how to load correctly.
- An efficient driver schedules without delays.
- Well-tuned firmware utilizes every clock cycle.
A good benchmark result isn’t just “strong hardware” - it’s the outcome of perfect coordination between the three layers.
Summary
A successful benchmark is like an orchestra: if the conductor (runtime), the sheet music (driver), and the musicians (firmware) aren’t coordinated - even the best cello in the world won’t save the melody.
Only when everything works in harmony does your system truly realize the hardware’s potential.