gpt-oss:20b

gptoss · 20.9B · MXFP4

THINKING MODEL

NVIDIA NVIDIA_DGX_Spark (Cortex-X925)

122 GB · Ubuntu 24.04.4 LTS

Tested on June 25, 2026 · Submitted by Tram

Top 4% Compare

Global Score

92 /100

Excellent

Hardware Fit

86/100

Quality

95/100

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GGUF versions & quantizations

Hardware

Machine: NVIDIA NVIDIA_DGX_Spark
CPU: Cortex-X925
Cores: 20 total (20 perf)
Frequency: 3.35 GHz
RAM: 122 GB
GPU: Device 2e12
OS: Ubuntu 24.04.4 LTS
Arch: arm64
Power Mode: performance

Performance

Tokens/sec Tokens generated per second — higher is better: 60.7
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.1
First chunk latency Delay before the first streamed chunk arrives from runtime: 542 ms
Time to first token How fast the model starts responding — lower is better: 3.2 s
Load time Time to load the model into memory before inference: 12.0 s
Memory usage RAM consumed during inference — percentage of total system memory: 12.0 GB (10%)
Total tokens Total number of tokens generated across all benchmark prompts: 1683
Thinking tokens (est.) Estimated internal reasoning tokens — models with "thinking" generate more tokens: ~638

Score breakdown

Speed

50/50

Time to first token

6/20

Memory

30/30

Quality

Reasoning

19/20

Coding

19/20

Instruction following

17/20

Structured output

15/15

Math

15/15

Multilingual

10/10

Category levels

Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.30.10
Model format: GGUF
Hardware profile: HIGH-END
Result hash: 13472c25ff2b27b1ee1c594d79ce225d45b7c532b0ee0e022a2b4411b74dd84c

Interpretation

Hardware fit: 86/100. Overall suitability: EXCELLENT (Global 92/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Bench Environment

Thermal: nominal CPU load: avg 10% (peak 11%)

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