- Models
- embeddinggemma-2
- vGPU-32GB · 32 GB
vGPU-32GB · 32 GB
embeddinggemma-2
Open a report for complete measurements.
- Task
- Embedding · Text → Vectors
- Workload
- Text → Vectors · embedding-sanity-v1 · Test duration 6 s
- Batch size
- Batch 4
- Format · Engine
- bf16 · sentence-transformers
- Unit
- vectors/sec
- Mean throughput
- 138vectors/sec
- Observed GPU occupancy
- 0.8 GiB
- P95 latency
- 35 ms
- Reports combined
- 1
Launch this model
Paste in your terminal. The recipe starts the model and connects the selected app.
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' 'ms:google/embeddinggemma-2' '--benchmark' '47f71b64-a702-47d0-bd76-7e40cbdfd234' '--batch-size' '4' '--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 · bf16 · sentence-transformers · embedding · vectors/sec
Sortable table
| Test date | Throughput | Concurrency / batch | P95 (s) | TTFT (ms) | Observed occupancy (GiB) | GPU power (W) | Decode (tok/s) | Uncached prefill (tok/s) | Parameters | View report |
|---|---|---|---|---|---|---|---|---|---|---|
| 10/7/2026, 10:21:19 AM | 137.82 vectors/sec | 4 | 0.035 | — | 0.82 | 51.89 | — | Uncached prefill unavailableView report | Parameters ↗ | 47f71b64 ↗ |
Recorded test parameters
Configuration 1 · Parameters
- model
- ms:google/embeddinggemma-2
- engine
- sentence-transformers
- quant
- bf16
- method
- native-forward-v1
- task
- embedding
- dataset
- embedding-sanity-v1
- context
- embedding
- input_tokens
- 0
- output_tokens
- 0
- duration
- 6
- concurrency
- 4
- unit
- vectors/sec
- software
- —
- engine_provenance
- —
- kernel_settings
- —
- precision
- —
- resolution
- —
- performance_task
- —
- performance_scope
- —
- batch_size
- —
- dimensions
- —
- weight_quantization
- —
- max_sequence_length
- —
- model_scope
- —
- performance_dataset
- —
- workload_mode
- —
- graph_mode
- —
- model_revision
- —
- client_version
- python-native-bench-1.1.3