gpt-oss:120b

gptoss · 116.8B · MXFP4

THINKING MODEL

NVIDIA NVIDIA_DGX_Spark (Cortex-X925)

122 GB · Ubuntu 24.04.5 LTS

Tested on October 2, 2026 · Submitted by Tram
Top 30% Compare
Global Score
83 /100
Excellent
Hardware Fit
64/100
Quality
91/100

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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 24.04.5 LTS
Arch
arm64
Power Mode
performance

Performance

Tokens/sec
28.6
Standard deviation
±11.8
First chunk latency
422 ms
Time to first token
2.5 s
Load time
9.9 s
Memory usage
60.1 GB (49%)
Total tokens
1483
Thinking tokens (est.)
~153

Score breakdown

Speed
30/50
Time to first token
9/20
Memory
25/30

Quality

Reasoning
19/20
Coding
19/20
Instruction following
14/20
Structured output
14/15
Math
15/15
Multilingual
10/10

Category levels

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

Metadata

Spec version
0.2.1
Runtime
Ollama 0.35.0
Model format
GGUF
Hardware profile
HIGH-END
Result hash
4a2942237f38c07cedacf3ecb0db937c0e105fcb6a5a09abf0b250c7c80770e0

Interpretation

Hardware fit: 64/100. Overall suitability: EXCELLENT (Global 83/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Adequate, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Warnings

  • Token speed is unstable (stddev 11.8 tok/s, mean 28.6 tok/s) — may indicate thermal throttling or memory pressure.

Bench Environment

Thermal: nominal CPU load: avg 21% (peak 28%)

Run yours now

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest