Hardware › DGX Spark local LLM benchmarks: 128 measured configs
DGX Spark local LLM benchmarks: 128 measured configs
128 measured local-LLM configs on NVIDIA DGX Spark (GB10); fastest 14B+ model Qwen3.5-35B-A3B at 131 tok/s. Official specs, Singapore prices read daily, every number linked to its source.
Snapshot 2026-10-16 · 394 configs on AI boxes and 423 on GPU cards · 123 models. Every number is generated from the tracker snapshot and linked to where it was measured; nothing here is typed by hand.
Silicon: NVIDIA GB10 Grace Blackwell Superchip. Official specs.
Quick answers
- What is the fastest model on DGX Spark?
- Qwen3.5-35B-A3B at 131 tok/s single-stream (NVFP4, atlas (speculative decode, mtp-2)), source last checked 2026-09-23. Models under 14B parameters are left out of this answer. source
- What is the fastest 100B+ model on DGX Spark?
- Qwen3.8-Flash-Next at 44.2 tok/s single-stream (NVFP4, vllm (speculative decode, mtp-2)), source last checked 2026-09-01. source
- What is the largest model measured on DGX Spark?
- Nex-N2-Pro-397B-A17B (397B parameters) at 18.9 tok/s single-stream (llama.cpp), source last checked 2026-10-16. source
- How many configs does TokenMark track for DGX Spark?
- 128 single-stream configs across 44 models, each linked to the README or model card it came from.
Official specs
- gpu: NVIDIA Blackwell architecture GPU, 6,144 CUDA cores, 5th-generation Tensor Cores (FP4 support), 4th-generation RT Cores; 1x NVENC, 1x NVDEC (source)
- cpu: 20-core NVIDIA Grace CPU: 10x Arm Cortex-X925 + 10x Cortex-A725 (Armv9) (source)
- ai tflops: Up to 1 PFLOP (1,000 TFLOPS / 1,000 TOPS) FP4 (source)
- memory gb: 128 (source)
- memory type: LPDDR5X, coherent unified system memory (CPU+GPU), 256-bit interface, 16 channels, LPDDR5X-8533 (source)
- memory bandwidth gbps: 273 (source)
- nvlink c2c: NVLink-C2C coherent CPU<->GPU interconnect present (chip-to-chip within GB10) (source)
- networking: NVIDIA ConnectX-7 SmartNIC @ 200 Gbps (2x QSFP connectors, for linking two units); 1x RJ-45 10 GbE; Wi-Fi 7; Bluetooth 5.4 (source)
- power w: GB10 TDP 140 W; DGX Spark system power supply 240 W (USB-C PD) (source)
- release date: 2025-10-15 (general availability of DGX Spark + partner GB10 systems) (source)
Where to buy NVIDIA DGX Spark (GB10) in Singapore
Read 17 Oct 2026 (SGT) from each seller's own product page. Prices in SGD. Overseas stores are converted at USD/SGD 1.2792 with 9% GST at import added; shipping is not included. Singapore sellers already include GST. List prices on the day, not a quote. No affiliate links.
NVIDIA GB10 box, 128 GB (DGX Spark or ASUS Ascent GX10)
- SourceIT (Singapore), ASUS Ascent GX10 1 TB (Authorised reseller, local warranty, GeBIZ): S$6,624
- SourceIT (Singapore), DGX Spark 4 TB (Authorised reseller, local warranty, GeBIZ): S$8,096
- Vii PC Trade (Singapore), DGX Spark 4 TB (Local reseller, 1yr warranty): S$8,999
Measured single-stream configs on NVIDIA DGX Spark (GB10)
| Model | Quant | Backend | Decode | Context | Trust | Source |
|---|---|---|---|---|---|---|
| Qwen3 1.7B | Q4_K_M | llama.cpp | 146.1 tok/s | 2048 | Extracted, source-linked | source |
| Qwen3.5-35B-A3B | NVFP4 | atlas (speculative decode, mtp-2) | 131 tok/s | Extracted, source-linked | source | |
| Qwen3.6-35B-heretic | NVFP4 | vllm | 96 tok/s | Structured table | source | |
| Qwen3.6-35B-A3B-NVFP4-Fast (Unsloth) | NVFP4 | vllm | 92.6 tok/s | Structured table | source | |
| GPT-OSS-20B | Q4_K_XL | llama.cpp | 90.5 tok/s | Structured table | source | |
| Ministral 3B | Q4_K_M | llama.cpp | 86.6 tok/s | 2048 | Extracted, source-linked | source |
| Qwen3.6-35B-A3B | FP8 | metrale (speculative decode, mtp-1) | 85 tok/s | 2048 | Extracted, source-linked | source |
| Ornith-1.0-35B-AEON | NVFP4 | vllm | 84.8 tok/s | Structured table | source | |
| Qwen3 30B (MoE) | Q4_K_M | llama.cpp | 83.8 tok/s | 2048 | Extracted, source-linked | source |
| Qwen3.6-35B-A3B | NVFP4 | vllm | 77.4 tok/s | Structured table | source | |
| Qwen3.6-35B-A3B | UD-IQ3_XXS | llama.cpp/cuda | 66.3 tok/s | 8192 | Structured table | source |
| Qwen3.6-35B-A3B | UD-IQ3_S | llama.cpp/cuda | 65.6 tok/s | 8192 | Structured table | source |
| Qwen3.6-35B-A3B | UD-Q3_K_XL | llama.cpp/cuda | 64.1 tok/s | 8192 | Structured table | source |
| Qwen3.6-35B-A3B | UD-Q3_K_M | llama.cpp/cuda | 64 tok/s | 8192 | Structured table | source |
| Qwen3.6-35B-A3B | UD-IQ4_NL | llama.cpp/cuda | 63.8 tok/s | 8192 | Structured table | source |
| Qwen3.6-35B-A3B | UD-IQ4_XS | llama.cpp/cuda | 63.3 tok/s | 8192 | Structured table | source |
| Qwen3.6-35B-A3B | UD-IQ4_NL_XL | llama.cpp/cuda | 63.1 tok/s | 8192 | Structured table | source |
| gemma-4-26B-A4B-it | UD-IQ3_XXS | llama.cpp/cuda | 62.9 tok/s | 8192 | Structured table | source |
| gemma-4-26B-A4B-it | UD-IQ3_S | llama.cpp/cuda | 62.7 tok/s | 8192 | Structured table | source |
| Qwen3.6-35B-A3B | Q4_K_XL | llama.cpp | 62.7 tok/s | Structured table | source | |
| Qwen3.6-35B-A3B | UD-Q4_K_S | llama.cpp/cuda | 62.1 tok/s | 8192 | Structured table | source |
| Qwen3.6-35B-A3B | MXFP4 | llama.cpp/cuda | 61.4 tok/s | 8192 | Structured table | source |
| Qwen3.6-35B-A3B | UD-Q4_K_M | llama.cpp/cuda | 61 tok/s | 8192 | Structured table | source |
| Qwen3.6-35B-A3B | UD-Q3_K_S | llama.cpp/cuda | 61 tok/s | 8192 | Structured table | source |
| Qwen3.6-35B-A3B | UD-Q4_K_XL | llama.cpp/cuda | 59.7 tok/s | 8192 | Structured table | source |
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