codestral:22b

llama · 22.2B · Q4_0

NVIDIA NVIDIA_DGX_Spark (Cortex-X925)

122 GB · Ubuntu 24.04.4 LTS

Tested on June 26, 2026

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Global Score

67 /100

Good

Hardware Fit

67/100

Quality

67/100

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ollama pull codestral:22b

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ollama.com/library/codestral

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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: 17.2
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.0
First chunk latency Delay before the first streamed chunk arrives from runtime: 129 ms
Time to first token How fast the model starts responding — lower is better: 129 ms
Load time Time to load the model into memory before inference: 11.6 s
Memory usage RAM consumed during inference — percentage of total system memory: 18.9 GB (16%)
Total tokens Total number of tokens generated across all benchmark prompts: 1224

Score breakdown

Speed

17/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

11/20

Coding

17/20

Instruction following

9/20

Structured output

14/15

Math

6/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.30.10
Model format: GGUF
Hardware profile: HIGH-END
Result hash: 1a81b3b647778049d9101725f269548db5d38155f9e357a7a3d926f7a1004a40

Interpretation

Hardware fit: 67/100. Overall suitability: GOOD (Global 67/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Weak, Structured Output: Strong, Math: Weak, Multilingual: Strong.

Bench Environment

Thermal: nominal CPU load: avg 15% (peak 33%)

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