NVIDIA GB10 Grace Blackwell (DGX Spark) — Benchmarks & Specs
Short answer: the NVIDIA GB10 Grace Blackwell (DGX Spark) generates 60.6 tokens/sec on gpt-oss:120b (MXFP4) under llama.cpp in a single cited run, per llama.cpp GitHub discussion #16578; there are too few comparable runs on file for a median.
Bottom line: how fast is the NVIDIA GB10 Grace Blackwell (DGX Spark)?
For local LLM inference it generates 60.6 tokens/sec running gpt-oss:120b at MXFP4 under llama.cpp (the source did not report the machine's memory configuration; 59 GB peak use), per llama.cpp GitHub discussion #16578. Unified memory is the binding constraint for local inference: the NVIDIA GB10 Grace Blackwell (DGX Spark) ships in configurations of up to 128 GB, per the manufacturer spec sheet, and a 120B model at MXFP4 needs roughly 73 GB for its weights alone (120B parameters at ~4.85 bits per weight, per llama.cpp), so it runs only on configurations with more unified memory than that. In Geekbench 6 multi it scores 18,183 points, per daniel.lawrence.lu.
Every figure above is a row in the tables below, and each row links out to the review or public benchmark database the number was taken from; the memory ceiling and the weight-size estimate are not table rows and link to their sources inline. SpecPicks aggregates published measurements; it does not report first-party benchmark runs.
The NVIDIA GB10 Grace Blackwell (DGX Spark) is an APU from the Grace Blackwell family released in 2025 from NVIDIA. Key on-paper specs include 20 CPU cores, up to 128 GB of unified memory, 273 GB/s of memory bandwidth. Data on this page draws on 2 synthetic benchmark results, 12 community AI inference reports, compiled from JetsonHacks, NVIDIA Developer Blog, LMSYS Org blog, daniel.lawrence.lu, llama.cpp GitHub discussion #16578; each table row links to its source. Read this page when shopping the NVIDIA GB10 Grace Blackwell (DGX Spark), comparing it against other APUs in your build, or sizing it for a specific workload (synthetic benchmark scores or local LLM inference).
AI Inference Performance
Tokens per second under each model + quantization. Higher = faster generation. Bars compare runs across the same model.
| Model | Quantization | Relative | Tokens/sec | VRAM used | Source |
|---|---|---|---|---|---|
| gpt-oss:20b | MXFP4 llama.cpp | 82.7 tok/s | — | NVIDIA Developer Blog 2025-10-24 | |
| gemma3:4b | Q4_0 llama.cpp | 79.8 tok/s | 2.4 GB | JetsonHacks (llama.cpp discussion #16578 results) 2025-10-15 | |
| gpt-oss:20b | MXFP4 llama.cpp | 79.7 tok/s | 11.3 GB | JetsonHacks (llama.cpp discussion #16578 results) 2025-10-15 | |
| gpt-oss:120b | MXFP4 llama.cpp | 60.6 tok/s | 59.0 GB | llama.cpp GitHub discussion #16578 2025-11-02 | |
| qwen3-coder:30b-a3b | q8_0 llama.cpp | 60.0 tok/s | 30.3 GB | JetsonHacks (llama.cpp discussion #16578 results) 2025-10-15 | |
| gpt-oss:120b | MXFP4 llama.cpp | 55.4 tok/s | — | NVIDIA Developer Blog 2025-10-24 | |
| gpt-oss:20b | MXFP4 ollama | 49.7 tok/s | — | LMSYS Org blog 2025-10-13 | |
| qwen2.5-coder:7b | q8_0 llama.cpp | 29.4 tok/s | 7.5 GB | JetsonHacks (llama.cpp discussion #16578 results) 2025-10-15 |
Batched serving throughput
| Model | Quantization | Relative | Tokens/sec (aggregate) | VRAM used | Source |
|---|---|---|---|---|---|
| llama3.1:8b | NVFP4 TensorRT-LLM batched | 38.6 tok/s aggregate | — | NVIDIA Developer Blog 2025-10-24 | |
| qwen3:14b | NVFP4 TensorRT-LLM batched | 22.7 tok/s aggregate | — | NVIDIA Developer Blog 2025-10-24 | |
| llama3.1:8b | FP8 sglang batched | 20.5 tok/s aggregate | — | LMSYS Org blog 2025-10-13 | |
| llama3.1:70b | FP8 sglang batched | 2.7 tok/s aggregate | — | LMSYS Org blog 2025-10-13 |
Synthetic Benchmarks
Higher is better. Bars are scaled within each benchmark family (multi-thread, single-thread, etc.) so you can compare like-with-like at a glance.
| Benchmark | Relative | Score | Source |
|---|---|---|---|
| Geekbench 6 multi | 18,183 points | daniel.lawrence.lu (independent blog) 2026-07-15 | |
| Geekbench 6 single | 2,983 points | daniel.lawrence.lu (independent blog) 2026-07-15 |
Full Specifications
| CPU arch | Grace (Arm) |
|---|---|
| GPU arch | Blackwell |
| CPU cores | 20 |
| AI pflops fp4 | 1 |
| Memory bandwidth | 273 GB/s |
| Max unified memory | 128 GB |
Source: techcrunch.com
NVIDIA GB10 Grace Blackwell (DGX Spark) — Frequently Asked Questions
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