RTX PRO 6000 Blackwell Server Edition · 96 GB

granite-speech-5.0-470m-turboctc

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Task
Speech recognition · Audio → Text
Workload
Audio → Text · asr_prompts · Test duration 16 s
Batch size
Batch 256
Format · Engine
Native · transformers-ctc · PyTorch 2.13.0
Unit
audio-sec/sec
Mean throughput
8,343audio-sec/sec
Observed GPU occupancy
20.1 GiB
P95 latency
Not recorded
Reports combined
1
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Individual tests

Audio → Text · Speech recognition · Native · transformers-ctc · asr · audio-sec/sec
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Recorded test parameters

Configuration 1 · Parameters
model
ibm-granite/granite-speech-5.0-470m-turboctc
engine
transformers-ctc
quant
Native
method
audio-native-v1
task
asr
dataset
asr_prompts
context
asr
input_tokens
0
output_tokens
0
duration
16
concurrency
256
unit
audio-sec/sec
software
{ "torch": "2.13.0", "transformers": "5.20.1", "torchaudio": "2.11.0", "OMP_NUM_THREADS": "8", "MKL_NUM_THREADS": "8", "OPENBLAS_NUM_THREADS": "8", "NUMEXPR_NUM_THREADS": "8" }
engine_provenance
—
kernel_settings
—
precision
—
resolution
—
performance_task
—
performance_scope
—
batch_size
256
dimensions
—
weight_quantization
—
max_sequence_length
—
model_scope
—
performance_dataset
—
workload_mode
—
graph_mode
—
model_revision
947f59af40db9791170a0628cf0f3f4812d720f1
client_version
python-native-bench-1.1.3