L4 · 24 GB

embeddinggemma-2

Open a report for complete measurements.
Task
Embedding · Text → Vectors
Workload
Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s
Batch size
Batch 16
Format · Engine
fp16 · sentence-transformers · PyTorch 2.12.1+cu126
Unit
vectors/sec
Mean throughput
2,036vectors/sec
Observed GPU occupancy
1 GiB
P95 latency
8 ms
Reports combined
4
View configuration and run options ↗

Launch this model

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Model API
bash -o pipefail -c 'curl -fsSL --connect-timeout 10 --max-time 60 --retry 2 '\''https://m.recipes/launch.py'\'' | python3 - "$@"' -- '--engine' 'embedding-recipe' '--model' 'unsloth/embeddinggemma-2' '--benchmark' 'd74f69cc-16e8-4266-8c79-0ad11d279bc2' '--batch-size' '16' '--client' 'api'
Requirements and startup checks

Managed runtimes: Linux x86_64, Python 3 and a compatible NVIDIA GPU. Ollama recipes require Ollama. OpenCode 1 and 2 are supported; its tool-call check must pass before opening.

This report has no pinned model revision. Startup uses the named model; it does not reproduce an immutable checkpoint.

The model runs on your machine. Existing OpenCode configuration is not overwritten. Add --dry-run to inspect settings or --check to verify startup without opening the app.

Individual tests

Text → Vectors · Embedding · fp16 · sentence-transformers · embedding · vectors/sec
Sortable table
Individual tests · 4 rows
Test dateThroughputConcurrency / batchP95 (s)TTFT (ms)Observed occupancy (GiB)GPU power (W)Decode (tok/s)Uncached prefill (tok/s)ParametersView report
10/19/2026, 7:27:38 AM2,034.36 vectors/sec160.008—0.9957.95—Uncached prefill unavailableView reportParameters ↗734f137e ↗
10/19/2026, 7:45:47 AM2,049.35 vectors/sec160.008—0.9957.81—Uncached prefill unavailableView reportParameters ↗c69a3c00 ↗
10/19/2026, 8:03:34 AM2,014.24 vectors/sec160.008—0.9957.94—Uncached prefill unavailableView reportParameters ↗cb6922e2 ↗
10/19/2026, 9:16:01 AM2,044.72 vectors/sec160.008—0.9958.59—Uncached prefill unavailableView reportParameters ↗d74f69cc ↗

Recorded test parameters

Configuration 1 · Parameters
model
unsloth/embeddinggemma-2
engine
sentence-transformers
quant
fp16
method
native-forward-v1
task
embedding
dataset
embedding-mteb-tasks-v1
context
embedding
input_tokens
0
output_tokens
0
duration
90
concurrency
16
unit
vectors/sec
software
{ "torch": "2.12.1+cu126", "transformers": "5.19.0", "sentence-transformers": "6.1.0", "OMP_NUM_THREADS": "8", "MKL_NUM_THREADS": "8", "OPENBLAS_NUM_THREADS": "8", "NUMEXPR_NUM_THREADS": "8" }
engine_provenance
—
kernel_settings
—
precision
fp16
resolution
—
performance_task
—
performance_scope
fixed tokenized STS-B English inputs; CUDA graph forward, pooling, host copy and normalization; excludes tokenization
batch_size
16
dimensions
—
weight_quantization
none
max_sequence_length
2048
model_scope
text-only
performance_dataset
mteb/stsbenchmark-sts@96943a16ea6a35129e253c659081cb59daf81b30
workload_mode
single
graph_mode
captured
model_revision
c8f89cc7ecb4ba5122cd15fdd487422b2b487daf
client_version
python-native-bench-1.1.3